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Cheng Hsiao

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:

    Mentioned in:

    1. H-Index for Journals
      by Francis Diebold in No Hesitations on 2018-03-08 17:47:00
  1. Author Profile
    1. Ranking California Economists as of May 2015
      by Matthew Kahn in Environmental and Urban Economics on 2015-06-04 02:25:00
    2. REPEC's Rankings of USC Economics
      by Matthew Kahn in Environmental and Urban Economics on 2018-01-21 18:23:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Yan Shen & Cheng Hsiao & Hiroshi Fujiki, 2005. "Aggregate vs. disaggregate data analysis-a paradox in the estimation of a money demand function of Japan under the low interest rate policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 579-601.

    Mentioned in:

    1. Aggregate vs. disaggregate data analysis—a paradox in the estimation of a money demand function of Japan under the low interest rate policy (Journal of Applied Econometrics 2005) in ReplicationWiki ()
  2. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.

    Mentioned in:

    1. A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China (Journal of Applied Econometrics 2012) in ReplicationWiki ()
  3. Arguea, N M & Hsiao, C & Taylor, G A, 1994. "Estimating Consumer Preferences Using Market Data--An Application to U.S. Automobile Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(1), pages 1-18, Jan.-Marc.

    Mentioned in:

    1. Estimating consumer preferences using market data—an application to us automobile demand (Journal of Applied Econometrics 1994) in ReplicationWiki ()

Working papers

  1. Cheng Hsiao & Qiankun Zhou, 2018. "Panel Parametric, Semi-parametric and Nonparametric Construction of Counterfactuals - California Tobacco Control Revisited," Departmental Working Papers 2018-02, Department of Economics, Louisiana State University.

    Cited by:

    1. Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
    2. Furno, Marilena, 2021. "The synthetic control approach: Multivalued treatments at the quantiles," Research in Economics, Elsevier, vol. 75(1), pages 7-20.
    3. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.

  2. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.

    Cited by:

    1. Jude I. Iziga, 2022. "A new way to look at old issues: Worker education and regional economic growth," Economics Bulletin, AccessEcon, vol. 42(3), pages 1388-1398.
    2. Desjardins, Denise & Dionne, Georges & Koné, N’Golo, 2022. "Reinsurance demand and liquidity creation: A search for bicausality," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 137-154.
    3. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
    4. Chao, John C. & Swanson, Norman R. & Woutersen, Tiemen, 2023. "Jackknife estimation of a cluster-sample IV regression model with many weak instruments," Journal of Econometrics, Elsevier, vol. 235(2), pages 1747-1769.
    5. Fengyu Wu, 2020. "An Examination of the Effects of Consumption Expenditures on Life Satisfaction in Australia," Journal of Happiness Studies, Springer, vol. 21(8), pages 2735-2771, December.

  3. Bing Jiang & Yanrong Yang & Jiti Gao & Cheng Hsiao, 2017. "Recursive estimation in large panel data models: Theory and practice," Monash Econometrics and Business Statistics Working Papers 5/17, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Chen, Qiang & Yan, Guanpeng, 2023. "On the two algorithms for estimating interactive fixed effects models in Bai (2009)," Economics Letters, Elsevier, vol. 233(C).
    2. Bin Peng & Liangjun Su & Joakim Westerlund & Yanrong Yang, 2021. "Interactive Effects Panel Data Models with General Factors and Regressors," Papers 2111.11506, arXiv.org.
    3. Fei Liu & Jiti Gao & Yanrong Yang, 2019. "Nonparametric Estimation in Panel Data Models with Heterogeneity and Time Varyingness," Monash Econometrics and Business Statistics Working Papers 24/19, Monash University, Department of Econometrics and Business Statistics.
    4. Jiti Gao & Bin Peng & Yayi Yan, 2022. "Nonparametric Estimation and Testing for Time-Varying VAR Models," Monash Econometrics and Business Statistics Working Papers 3/22, Monash University, Department of Econometrics and Business Statistics.
    5. Yu, Haijing & Shen, Shaowei & Han, Lei & Ouyang, Jian, 2024. "Spatiotemporal heterogeneities in the impact of the digital economy on carbon emission transfers in China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2020. "Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2012.03182, arXiv.org, revised Nov 2021.
    7. Guohua Feng & Jiti Gao & Bin Peng, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 6/19, Monash University, Department of Econometrics and Business Statistics.
    8. Stauskas, Ovidijus & De Vos, Ignace, 2024. "Handling Distinct Correlated Effects with CCE," MPRA Paper 120194, University Library of Munich, Germany.
    9. Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
    10. Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Varying-coefficient panel data models with partially observed factor structure," Monash Econometrics and Business Statistics Working Papers 1/18, Monash University, Department of Econometrics and Business Statistics.
    11. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 13/22, Monash University, Department of Econometrics and Business Statistics.
    12. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.
    13. Jiti Gao & Fei Liu & Bin peng, 2020. "Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 44/20, Monash University, Department of Econometrics and Business Statistics.
    14. Guohua Feng & Jiti Gao & Bin Peng, 2021. "Productivity Convergence in Manufacturing: A Hierarchical Panel Data Approach," Monash Econometrics and Business Statistics Working Papers 16/21, Monash University, Department of Econometrics and Business Statistics.
    15. Feng, Guohua & Gao, Jiti & Peng, Bin, 2022. "An integrated panel data approach to modelling economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 379-397.
    16. Feng, Guohua & Peng, Bin & Su, Liangjun & Yang, Thomas Tao, 2019. "Semi-parametric single-index panel data models with interactive fixed effects: Theory and practice," Journal of Econometrics, Elsevier, vol. 212(2), pages 607-622.
    17. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
    18. Guohua Feng & Jiti Gao & Bin Peng, 2022. "Multi-Level Panel Data Models: Estimation and Empirical Analysis," Monash Econometrics and Business Statistics Working Papers 4/22, Monash University, Department of Econometrics and Business Statistics.

  4. Cheng Hsiao & Qiankun Zhou, 2017. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Departmental Working Papers 2017-11, Department of Economics, Louisiana State University.

    Cited by:

    1. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Semykina, Anastasia & Xie, Yimeng & Yang, Cynthia Fan & Zhou, Qiankun, 2024. "Semiparametric least squares estimation of binary choice panel data models with endogeneity," Economic Modelling, Elsevier, vol. 132(C).
    3. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    4. Chihwa Kao & Long Liu & Rui Sun, 2021. "A bias-corrected fixed effects estimator in the dynamic panel data model," Empirical Economics, Springer, vol. 60(1), pages 205-225, January.
    5. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2022. "Robust Dynamic Space-Time Panel Data Models Using ε-contamination: An Application to Crop Yields and Climate Change," Center for Policy Research Working Papers 254, Center for Policy Research, Maxwell School, Syracuse University.
    6. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
    7. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.
    8. Shobande, Olatunji A., 2023. "Rethinking social change: Does the permanent and transitory effects of electricity and solid fuel use predict health outcome in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).

  5. Cheng Hsiao & Yan Shen & Wenlong Bian, 2016. "Evaluating the Effectiveness of China's Financial Reform The Efficiency of China's Domestic Banks," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    2. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
    3. Yongyuan Ma & Ao Shen & Qingyuan Zhu & Peng Wang, 2022. "Media environment, venture capital, and technological innovation: Evidence from China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1734-1747, September.
    4. Zhang, Longyao & Hsu, Sara & Xu, Zhong & Cheng, Enjiang, 2020. "Responding to financial crisis: Bank credit expansion with Chinese characteristics," China Economic Review, Elsevier, vol. 61(C).
    5. Xie, Qiwei & Xu, Qifan & Chen, Lifan & Jin, Xi & Li, Siqi & Li, Yongjun, 2022. "Efficiency evaluation of China's listed commercial banks based on a multi-period leader-follower model," Omega, Elsevier, vol. 110(C).

  6. Kunpeng Li & Degui Li & Zhongwen Lian & Cheng Hsiao, 2013. "Semiparametric Profile Likelihood Estimation of Varying Coefficient Models with Nonstationary Regressors," Monash Econometrics and Business Statistics Working Papers 2/13, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Phillips, Peter C.B. & Li, Degui & Gao, Jiti, 2017. "Estimating smooth structural change in cointegration models," Journal of Econometrics, Elsevier, vol. 196(1), pages 180-195.

  7. Hiroshi Fujiki & Cheng Hsiao, 2013. "Disentangling the Effects of Multiple Treatments - Measuring the Net Economic Impact of the 1995 Great Hanshin-Awaji Earthquake," IMES Discussion Paper Series 13-E-03, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. William DUPONT IV & Ilan NOY & OKUYAMA Yoko & SAWADA Yasuyuki, 2015. "The Long-Run Socio-Economic Consequences of a Large Disaster: The 1995 earthquake in Kobe," Discussion papers 15035, Research Institute of Economy, Trade and Industry (RIETI).
    2. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    3. I. Koetsier, 2017. "The fiscal impact of natural disasters," Working Papers 17-17, Utrecht School of Economics.
    4. Hongjun Li & Zheng Li & Cheng Hsiao, 2023. "Assessing the impacts of pandemic and the increase in minimum down payment rate on Shanghai housing prices," Empirical Economics, Springer, vol. 64(6), pages 2661-2682, June.
    5. Massimiliano Mazzanti & Antonio Musolesi, 2020. "A Semiparametric Analysis of Green Inventions and Environmental Policies," SEEDS Working Papers 0920, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2020.
    6. Massimiliano Mazzanti & Antonio Musolesi, 2020. "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers 1420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2020.
    7. William DuPont & Ilan Noy, 2012. "What Happened to Kobe? A Reassessment of the Impact of the 1995 Earthquake in Japan," Working Papers 201204, University of Hawaii at Manoa, Department of Economics.
    8. Yan Song & Zhenran Li & Xiao Zhang & Ming Zhang, 2021. "Study on indirect economic impacts and their causes of the 2008 Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 1971-1995, September.
    9. Cuong Nguyen & Ilan Noy & Dag Einar Sommervoll & Fang Yao, 2020. "Redrawing of a Housing Market: Insurance Payouts and Housing Market Recovery in the Wake of the Christchurch Earthquake of 2011," CESifo Working Paper Series 8560, CESifo.
    10. Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
    11. Huang, Lulu & Liu, Qiannan & Tang, Yugang, 2024. "Long-term economic impact of disasters: Evidence from multiple earthquakes in China," World Development, Elsevier, vol. 174(C).
    12. Hiroshi Fujiki & Cheng Hsiao, 2013. "Disentangling the Effects of Multiple Treatments - Measuring the Net Economic Impact of the 1995 Great Hanshin-Awaji Earthquake," IMES Discussion Paper Series 13-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Yasuhide Okuyama, 2015. "How shaky was the regional economy after the 1995 Kobe earthquake? A multiplicative decomposition analysis of disaster impact," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(2), pages 289-312, December.
    14. Carvalho, Carlos Viana de & Masini, Ricardo Pereira & Medeiros, Marcelo C., 2017. "The perils of counterfactual analysis with integrated processes," Textos para discussão 455, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    15. Pengyu Chen, 2022. "Analysis of the post-earthquake economic recovery of the most severely affected areas in the 2008 Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2633-2655, December.
    16. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    17. Cuong Nguyen & Ilan Noy & Dag Einar Sommervoll & Fang Yao, 2023. "Settling insurance claims with cash or repair and housing market recovery after an earthquake," Economics of Disasters and Climate Change, Springer, vol. 7(1), pages 117-134, March.
    18. Hao, Shiming, 2021. "True structure change, spurious treatment effect? A novel approach to disentangle treatment effects from structure changes," MPRA Paper 108679, University Library of Munich, Germany.
    19. Li, Xiao & Qiao, Yuanbo & Shi, Lei, 2019. "Has China's war on pollution slowed the growth of its manufacturing and by how much? Evidence from the Clean Air Action," China Economic Review, Elsevier, vol. 53(C), pages 271-289.

  8. WANG, Shin-Huei & BAUWENS, Luc & HSIAO, Cheng, 2012. "Forecasting long memory processes subject to structural breaks," LIDAM Discussion Papers CORE 2012048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Wang, Yudong & Hao, Xianfeng, 2023. "Forecasting the real prices of crude oil: What is the role of parameter instability?," Energy Economics, Elsevier, vol. 117(C).
    2. Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020. "Dynamics of variance risk premia: A new model for disentangling the price of risk," Journal of Econometrics, Elsevier, vol. 217(2), pages 312-334.
    3. Erdenebat Bataa & Marwan Izzeldin & Denise Osborn, 2015. "Changes in the global oil market," Working Papers 75761696, Lancaster University Management School, Economics Department.
    4. Papailias, Fotis & Fruet Dias, Gustavo, 2015. "Forecasting long memory series subject to structural change: A two-stage approach," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1056-1066.
    5. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2016. "Forecasting crude oil market volatility: A Markov switching multifractal volatility approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 1-9.
    6. Caporin, Massimiliano & Velo, Gabriel G., 2015. "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 98-112.
    7. Demetrescu, Matei & Salish, Nazarii, 2024. "(Structural) VAR models with ignored changes in mean and volatility," International Journal of Forecasting, Elsevier, vol. 40(2), pages 840-854.
    8. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    9. Ding, Yi & Kambouroudis, Dimos & McMillan, David G., 2021. "Forecasting realised volatility: Does the LASSO approach outperform HAR?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    10. Gong, Xu & Lin, Boqiang, 2018. "Structural changes and out-of-sample prediction of realized range-based variance in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 27-39.
    11. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.

  9. Hiroshi Fujiki & Cheng Hsiao, 2008. "Aggregate and Household Demand for Money: Evidence from Public Opinion Survey on Household Financial Assets and Liabilities," IMES Discussion Paper Series 08-E-17, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Hiroshi Fujiki, 2013. "Japanese Money Demand from the Regional Data: An Update and Some Additional Results," IMES Discussion Paper Series 13-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    2. Seitz, Franz & von Landesberger, Julian, 2010. "Household money holdings in the euro area: An explorative investigation," Working Paper Series 1238, European Central Bank.
    3. Franz Seitz & Julian von Landesberger, 2012. "Household Money Demand: The Euro Area Case," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(III), pages 409-438, September.
    4. Robert Calvert Jump, 2018. "Inequality And Aggregate Demand In The Is‐Lm And Is‐Mp Models," Bulletin of Economic Research, Wiley Blackwell, vol. 70(3), pages 269-276, July.

  10. WANG , Shin-Huei & HSIAO, Cheng, 2008. "An easy test for two stationary long processes being uncorrelated via AR approximations," LIDAM Discussion Papers CORE 2008047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Ding, Yi & Kambouroudis, Dimos & McMillan, David G., 2021. "Forecasting realised volatility: Does the LASSO approach outperform HAR?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).

  11. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.

    Cited by:

    1. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Post-Print hal-03539371, HAL.
    2. Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.
    3. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
    5. Cem Ertur & Antonio Musolesi, 2014. "Dépendance individuelle forte et faible : une analyse en données de panel de la diffusion internationale de la technologie," Working Papers halshs-01015208, HAL.
    6. Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    7. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.
    8. Hermann Singer, 2011. "Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 375-413, December.

  12. Hsiao, C. & Pesaran, M.H. & Pick, A., 2007. "Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models," Cambridge Working Papers in Economics 0716, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    2. Martí Ballester, Carmen Pilar, 2013. "Determinants of equity pension plan flows," Economics Discussion Papers 2013-15, Kiel Institute for the World Economy (IfW Kiel).
    3. Carmen Pilar Marti & M. Rosa Rovira‐Val & Lisa G. J. Drescher, 2015. "Are Firms that Contribute to Sustainable Development Better Financially?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 22(5), pages 305-319, September.
    4. G. Pan & J. Gao & Y. Yang & M. Guo, 2012. "Independence Test for High Dimensional Random Vectors," Monash Econometrics and Business Statistics Working Papers 1/12, Monash University, Department of Econometrics and Business Statistics.
    5. J. Atsu Amegashie & Bazoumana Ouattara & Eric Strobl, 2007. "Moral Hazard and the Composition of Transfers: Theory with an Application to Foreign Aid," Working Papers 0702, University of Guelph, Department of Economics and Finance.
    6. Carmen Pilar Martí Ballester, 2014. "Determinants of equity pension plan flows," Estudios de Economia, University of Chile, Department of Economics, vol. 41(1 Year 20), pages 125-148, June.
    7. Mammadova, Aytan & Mammadova, Leyla & Mammadov, Fuad & Yusifzade, Leyla, 2016. "Determinants of depositors’ behaviour: Heterogeneous panel estimates," MPRA Paper 72159, University Library of Munich, Germany.
    8. Zeidan, Rodrigo & Müllner, Jakob, 2015. "Firm, market and top management antecedents of speculation: Lessons for corporate governance," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 42-58.
    9. George Halkos & George Ekonomou, 2023. "Can Business and Leisure Tourism Spending Lead to Lower Environmental Degradation Levels? Research on the Eurozone Economic Space," Sustainability, MDPI, vol. 15(7), pages 1-16, March.
    10. Guangming Pan & Jiti Gao & Yanrong Yang & Meihui Guo, 2015. "Cross-sectional Independence Test for a Class of Parametric Panel Data Models," Monash Econometrics and Business Statistics Working Papers 17/15, Monash University, Department of Econometrics and Business Statistics.
    11. Nikos Benos & Nikolaos Mylonidis & Stefania Zotou, 2017. "Estimating production functions for the US states: the role of public and human capital," Empirical Economics, Springer, vol. 52(2), pages 691-721, March.
    12. Li Yang & Sumaiya Bashiru Danwana & Fadilul-lah Yassaanah Issahaku, 2022. "Achieving Environmental Sustainability in Africa: The Role of Renewable Energy Consumption, Natural Resources, and Government Effectiveness—Evidence from Symmetric and Asymmetric ARDL Models," IJERPH, MDPI, vol. 19(13), pages 1-26, June.

  13. Bresson G. & Hsiao C. & Pirotte A., 2007. "Assessing the Contribution of R&D to Total Factor Productivity – a Bayesian Approach to Account for Heterogeneity And Heteroscedasticity," Working Papers ERMES 0708, ERMES, University Paris 2.

    Cited by:

    1. Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.
    2. Badi H. Baltagi & Chihwa Kao & Sanggon Na, 2011. "Test Of Hypotheses In Panel Data Models When The Regressor And Disturbances Are Possibly Nonstationary," Center for Policy Research Working Papers 128, Center for Policy Research, Maxwell School, Syracuse University.
    3. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
    5. Georges Bresson & Cheng Hsiao, 2011. "A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 501-529, December.
    6. Hermann Singer, 2011. "Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 375-413, December.

  14. Cheng Hsiao, 2006. "Panel Data Analysis - Advantages and Challenges," IEPR Working Papers 06.49, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Elena DRUICĂ & Zizi GOSCHIN & Cristian BĂICUȘ, 2018. "Regional socio-economic factors influencing diabetes incidence: the case of Romania," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 87-109, June.
    2. Yuanyuan Qu & Aza Azlina Md Kassim, 2023. "The Impact of Economic Policy Uncertainty on Investment in Real Estate Corporations Based on Sustainable Development: The Mediating Role of House Prices," Sustainability, MDPI, vol. 15(21), pages 1-17, October.
    3. Du, Rex Yuxing & Kamakura, Wagner A., 2015. "Improving the statistical performance of tracking studies based on repeated cross-sections with primary dynamic factor analysis," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 94-112.
    4. Sun, Yajie & Liao, Wen-Chi, 2021. "Resource-Exhausted City Transition to continue industrial development," China Economic Review, Elsevier, vol. 67(C).
    5. Zhu, Hui-Ming & You, Wan-Hai & Zeng, Zhao-fa, 2012. "Urbanization and CO2 emissions: A semi-parametric panel data analysis," Economics Letters, Elsevier, vol. 117(3), pages 848-850.
    6. Ramirez-Rondan, N.R. & Terrones, Marco E., 2019. "Uncertainty and the Uncovered Interest Parity Condition: How Are They Related?," MPRA Paper 97524, University Library of Munich, Germany.
    7. Mohamed Elheddad & Mohga Bassim & Rizwan Ahmed, 2021. "FDI and economic growth in the GCC: does the oil sector matter?," Economics and Business Letters, Oviedo University Press, vol. 10(3), pages 178-190.
    8. Vithessonthi, Chaiporn & Tongurai, Jittima, 2015. "The effect of firm size on the leverage–performance relationship during the financial crisis of 2007–2009," Journal of Multinational Financial Management, Elsevier, vol. 29(C), pages 1-29.
    9. Lu, Steven Qiang & Vassallo, Jarrod P. & Choi, Ada & Li, Jia, 2024. "The role of political ideology on variety-seeking behavior during crisis-induced threats: Evidence from the COVID-19 pandemic," Journal of Retailing, Elsevier, vol. 100(2), pages 166-185.
    10. Suhas Jadhav & Ishita Ghosh, 2024. "Future Prospects of the Gravity Model of Trade: A Bibliometric Review (1993–2021)," Foreign Trade Review, , vol. 59(1), pages 26-61, February.
    11. Kroes, James R. & Manikas, Andrew S., 2014. "Cash flow management and manufacturing firm financial performance: A longitudinal perspective," International Journal of Production Economics, Elsevier, vol. 148(C), pages 37-50.
    12. Cosmin SERBANESCU & Adrian VINTILESCU-BELCIUG, 2017. "Social assistance efficiency in Romanian labor market context," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(Special), pages 65-76.
    13. Rahman, Sanzidur & Anik, Asif Reza, 2020. "Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture," Land Use Policy, Elsevier, vol. 94(C).
    14. Faris Alshubiri & Mohamed Elheddad & Syed Ahsan Jamil & Nassima Djellouli, 2021. "The impacts of financial depth and foreign direct investment on the green and non-green energy consumption of OPEC members," SN Business & Economics, Springer, vol. 1(6), pages 1-29, June.
    15. Noor Zainab.Tunggal & Shariff Umar Shariff Abd. Kadir & Venus-Khim Sen Liew, 2018. "Panel Analysis of Monetary Model of ASEAN-5 Exchange Rates," International Business Research, Canadian Center of Science and Education, vol. 11(11), pages 1-7, November.
    16. Austmann, Leonhard M. & Vigne, Samuel A., 2021. "Does environmental awareness fuel the electric vehicle market? A Twitter keyword analysis," Energy Economics, Elsevier, vol. 101(C).
    17. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    18. Vassiliki Avgerinou & Stefanos Giakoumatos, 2009. "Price, Income & Unemployment Effects on Greek Professional Football," Working Papers 0907, International Association of Sports Economists;North American Association of Sports Economists.
    19. Myung Ki & Yo Han Lee & Yong-Soo Kim & Ji-Yeon Shin & Jiseun Lim & James Nazroo, 2017. "Socioeconomic inequalities in health in the context of multimorbidity: A Korean panel study," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-14, March.
    20. Rosa Aísa & Jesús Clemente & Fernando Pueyo, 2014. "The influence of (public) health expenditure on longevity," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(5), pages 867-875, October.
    21. Mahabubur Rahman & M. Ángeles Rodríguez-Serrano & Mary Lambkin, 2019. "Advertising efficiency and profitability: Evidence from the pharmaceutical industry," Post-Print hal-02096913, HAL.
    22. Nazlı KEYİFLİ & Sacit Hadi AKDEDE, 2020. "Political Polarization and Size of Government," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(44).
    23. Ivanova, Diana & Büchs, Milena, 2022. "Implications of shrinking household sizes for meeting the 1.5 °C climate targets," Ecological Economics, Elsevier, vol. 202(C).
    24. YUAN, Chunming & CHEN, Ruo, 2015. "Policy transmissions, external imbalances, and their impacts: Cross-country evidence from BRICS," China Economic Review, Elsevier, vol. 33(C), pages 1-24.
    25. Hemtanon, Wittawat & Gan, Christopher, 2022. "Sustainability of Microfinance Institutions in Thailand," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 19(1), June.
    26. Trabelsi, Emna & Hichri, Walid, 2021. "Central Bank Transparency with (semi-)public Information: Laboratory Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    27. Brahim Gaies, 2021. "Curse or blessing: how do oil price fluctuations influence financial development in low- and middle-income net oil-exporting countries?," Economics Bulletin, AccessEcon, vol. 41(2), pages 751-763.
    28. Lippe, Rattiya Suddeephong & Ojeda Luna, Tatiana & Katajamäki, Waltteri & Schweinle, Jörg, 2023. "Labour informality in forestry: A longitudinal (2009–2020) cross-country analysis of determinants in 70 developing countries," Forest Policy and Economics, Elsevier, vol. 156(C).
    29. Abhijit Mandal & Beste Hamiye Beyaztas & Soutir Bandyopadhyay, 2023. "Robust density power divergence estimates for panel data models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(5), pages 773-798, October.
    30. Fang Yin & Zhanli Sun & Liangzhi You & Daniel Müller, 2024. "Determinants of changes in harvested area and yields of major crops in China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(2), pages 339-351, April.
    31. Hongying Yang & Jin Yu & Ching-Hui (Joan) Su & Ming-Hsiang Chen & Dahui Zhou, 2020. "Can China’s Aging Population Sustain Its Entrepreneurship? Evidence of Nonlinear Effects," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
    32. Josep Garcia‐Blandon & David Castillo‐Merino & Nour Chams, 2020. "Sustainable development: The stock market's view of environmental policy," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3273-3285, December.
    33. Nico Lehnertz & Carolin Plagmann & Eva Lutz, 2022. "Why deep pockets make great borrowers: an empirical analysis of venture loans," Journal of Business Economics, Springer, vol. 92(9), pages 1431-1453, November.
    34. Ismail Hakki İscan & Tugba Demire, 2021. "The Effects of Migration on Growth and Unemployment in Developed Countries: A Panel Autoregressive Distributed Lag Analysis," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(35), pages 181-203, December.
    35. Bahareh Kamali & Karim C. Abbaspour & Bernhard Wehrli & Hong Yang, 2019. "A Quantitative Analysis of Socio-Economic Determinants Influencing Crop Drought Vulnerability in Sub-Saharan Africa," Sustainability, MDPI, vol. 11(21), pages 1-18, November.
    36. Bhatt, Siddharth & Pai, Dinesh R. & DelVecchio, Devon, 2023. "The dark side of multiunit discounts: Multiunit discounts reduce rest of basket revenue," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    37. Jonathan Walsh & Robert Parsons & Qingbin Wang & David Conner, 2020. "What Makes an Organic Dairy Farm Profitable in the United States? Evidence from 10 Years of Farm Level Data in Vermont," Agriculture, MDPI, vol. 10(1), pages 1-13, January.
    38. Rosdiana Sijabat, 2023. "The Association between Foreign Investment and Gross Domestic Product in Ten ASEAN Countries," Economies, MDPI, vol. 11(7), pages 1-21, July.
    39. Linlin Yao & Paravee Maneejuk & Woraphon Yamaka & Jianxu Liu, 2022. "Quantifying the Competitiveness of Cultural Industry and Its Impacts on Chinese Economic Growth," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    40. Muhammad Mahmood Shah Khan & Farrukh Ijaz & Ejaz Aslam, 2014. "Determinants of Profitability of Islamic Banking Industry: An Evidence from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 6(2), pages 27-46, October.
    41. Ma, Wanglin & Renwick, Alan & Bicknell, Kathryn, 2018. "Feed Use Intensification and Technical Efficiency of Dairy Farms in New Zealand," 2018 Annual Meeting, August 5-7, Washington, D.C. 274394, Agricultural and Applied Economics Association.
    42. T. Daniel Coggin, 2023. "CO2, SO2 and economic growth: a cross-national panel study," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 437-457, June.
    43. Ibrahim A. Adekunle & Abayomi T. Onanuga & Ibrahim A. Odusanya, 2021. "Financial Integration and Growth Outcomes in Africa: Experience of the Trade Blocs," Working Papers 21/052, European Xtramile Centre of African Studies (EXCAS).
    44. Bożena Kusz & Dariusz Kusz & Iwona Bąk & Maciej Oesterreich & Ludwik Wicki & Grzegorz Zimon, 2022. "Selected Economic Determinants of Labor Profitability in Family Farms in Poland in Relation to Economic Size," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    45. Shailesh Rastogi & Geetanjali Pinto & Amit Kumar Pathak & Satyendra Pratap Singh & Arpita Sharma & Souvik Banerjee & Jagjeevan Kanoujiya & Pracheta Tejasmayee, 2023. "Influence of Transparency and Disclosures on the Dividend Distribution Decisions in the Firms: Do Profitability and Efficiency of Firms Matter?," IJFS, MDPI, vol. 11(4), pages 1-16, December.
    46. Maryia Bakhtsiyarava & Kathryn Grace, 2021. "Agricultural production diversity and child nutrition in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(6), pages 1407-1422, December.
    47. Dinesh Ramdas Pai & Siddharth Bhatt, 2023. "Is suggestive selling effective in increasing sales? Investigating its role in store promotion strategy using retail chain data from the U.S," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 32-40, March.
    48. Ding Luo & Oded Cats & Hans Lint, 2020. "Can passenger flow distribution be estimated solely based on network properties in public transport systems?," Transportation, Springer, vol. 47(6), pages 2757-2776, December.
    49. Susanne Fricke & Lodovico Muratori, 2017. "Spatial price transmission and trade policies: new evidence for agricultural products from selected sub-Saharan African countries with high frequency data," Working Papers 5/17, Sapienza University of Rome, DISS.
    50. Tselika, Kyriaki, 2022. "The impact of variable renewables on the distribution of hourly electricity prices and their variability: A panel approach," Energy Economics, Elsevier, vol. 113(C).
    51. Teresa Garín-Muñoz & Teodosio Pérez-Amaral & Rafael López, 2020. "Consumer engagement in e-Tourism: Micro-panel data models for the case of Spain," Tourism Economics, , vol. 26(6), pages 853-872, September.
    52. Hazem Al Samman & Erhan Akkas, 2022. "How Do the Crises of Falling Oil Prices and COVID-19 Affect Economic Sectors in the Rentier Economies? Evidence from the GCC Countries," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 65(65), pages 105-127, June.
    53. Ding Du & Pin Ng, 2018. "The impact of climate change on tourism economies of Greece, Spain, and Turkey," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 431-449, April.
    54. Ahmed, Ammad & Monem, Reza M. & Delaney, Deborah & Ng, Chew, 2017. "Gender diversity in corporate boards and continuous disclosure: Evidence from Australia," Journal of Contemporary Accounting and Economics, Elsevier, vol. 13(2), pages 89-107.
    55. Sadia Rashid & Kanwal Iqbal Khan & Adeel Nasir & Tayyiba Rashid, 2022. "Unveiling living dead: characteristics and consequences of zombie firms," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2121240-212, December.
    56. Nicolas Scelles & Saeed Khanmoradi, 2023. "Impact of Market Value, Roster Size, Arrivals and Departures on Performance in Iranian Men’s Football," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
    57. Vlad BRĂTĂŞANU, 2017. "Digital innovation the new paradigm for financial services industry," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(Special), pages 83-94.
    58. Atif Khan Jadoon & Sania Akhtar & Ambreen Sarwar & Syeda Azra Batool & Sarvjeet Kaur Chatrath & Saima Liaqat, 2021. "Is Economic Growth And Industrial Growth The Reason For Environmental Degradation In Saarc Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 418-426.
    59. Tilov, Ivan & Weber, Sylvain, 2023. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," Energy Economics, Elsevier, vol. 127(PA).
    60. Pei-Tha Gan, 2019. "Economic uncertainty, precautionary motive and the augmented form of money demand function," Evolutionary and Institutional Economics Review, Springer, vol. 16(2), pages 397-423, December.
    61. Arkadiusz Kijek & Tomasz Kijek, 2020. "Nonlinear Effects of Human Capital and R&D on TFP: Evidence from European Regions," Sustainability, MDPI, vol. 12(5), pages 1-14, February.
    62. Saldivia, Mauricio & Kristjanpoller, Werner & Olson, Josephine E., 2020. "Energy consumption and GDP revisited: A new panel data approach with wavelet decomposition," Applied Energy, Elsevier, vol. 272(C).
    63. Shuang Meng & Pengxiang Wang & Jiajie Yu, 2022. "Going Abroad and Going Green: The Effects of Top Management Teams’ Overseas Experience on Green Innovation in the Digital Era," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    64. Alexandra Fratila (Adam) & Ioana Andrada Gavril (Moldovan) & Sorin Cristian Nita & Andrei Hrebenciuc, 2021. "The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    65. Nicolae BALTEȘ & Alexandra-Gabriela-Maria DRAGOE, 2017. "Rentability and risk in trading financial titles on the Romanian capital market," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(Special), pages 57-64.
    66. Heesen, Florian & Madlener, Reinhard, 2018. "Revisiting Heat Energy Consumption Modeling: Household Production Theory Applied to Field Experimental Data," FCN Working Papers 4/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    67. Migbaru Alamirew Workneh & Zerayehu Sime Eshete, 2021. "Household Level Non-Monetary Poverty in Ethiopia and its Driving Factors: a Multidimensional Approach with Panel Estimation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 145-168, February.
    68. Marco Grazzi, 2012. "Export and Firm Performance: Evidence on Productivity and Profitability of Italian Companies," Journal of Industry, Competition and Trade, Springer, vol. 12(4), pages 413-444, December.
    69. Pan, Jiun-Nan & Huang, Jr-Tsung & Chiang, Tsun-Feng, 2015. "Empirical study of the local government deficit, land finance and real estate markets in China," China Economic Review, Elsevier, vol. 32(C), pages 57-67.
    70. Druică Elena & Ianole-Călin Rodica & Burcea Marin, 2019. "Evidence Based Relationship Between Healthcare Infrastructure and Nosocomial Infections in Romania," Journal of Social and Economic Statistics, Sciendo, vol. 8(1), pages 1-14, July.
    71. Hanousek, Jan & Antoch, Jaromir & Huskova, Marie & Horvath, Lajos & Wang, Shixuan, 2017. "Structural breaks in panel data: Large number of panels and short length time series," CEPR Discussion Papers 11891, C.E.P.R. Discussion Papers.
    72. Marta Gómez-Puig & Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2014. "An update on EMU sovereign yield spread drivers in time of crisis: A panel data analysis," Working Papers 2014-04, Universitat de Barcelona, UB Riskcenter.
    73. Yasemin Zengin Karaibrahimoglu & Burcu Guneri Cangarli, 2016. "Do Auditing and Reporting Standards Affect Firms’ Ethical Behaviours? The Moderating Role of National Culture," Journal of Business Ethics, Springer, vol. 139(1), pages 55-75, November.
    74. Carvalho, Jaimilton & Divino, José Angelo & Orrillo, Jaime, 2014. "Determinantes do Requerimento de Colateral em Empréstimos Empresariais," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
    75. Xia, Wenjun & Chen, Xiaohong & Song, Chao & Pérez-Carrera, Alejo, 2022. "Driving factors of virtual water in international grain trade: A study for belt and road countries," Agricultural Water Management, Elsevier, vol. 262(C).
    76. Md Gyasuddin Ansari & Rudra Sensarma, 2022. "Does Economic Freedom Influence the FDI - Growth Nexus in BRICSASEAN Economies?," Working papers 530, Indian Institute of Management Kozhikode.
    77. Alshubiri, Faris, 2021. "Financial deepening indicators and income inequality of OECD and ASIAN countries," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    78. Nielsen, Bo Bernhard & Asmussen, Christian Geisler & Weatherall, Cecilie Dohlmann, 2017. "The location choice of foreign direct investments: Empirical evidence and methodological challenges," Journal of World Business, Elsevier, vol. 52(1), pages 62-82.
    79. Alexandra Lavinia Horobeț & Irina Mnohoghitnei & Emanuela Marinela Luminița Zlatea & Alexandra Smedoiu-Popoviciu, 2023. "Determinants of E-Government Use in the European Union: An Empirical Analysis," Societies, MDPI, vol. 13(6), pages 1-17, June.
    80. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "The changing of the relationships between carbon footprints and final demand: Panel data evidence for 40 major countries," Energy Economics, Elsevier, vol. 61(C), pages 8-20.
    81. Xiang Zhou & Yasushi Yamaguchi, 2018. "Relative Importance of Climatic and Anthropogenic Drivers on the Dynamics of Aboveground Biomass across Agro-Ecological Zones on the Mongolian Plateau," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    82. Cristian Incaltarau & Ilkhom Sharipov & Gabriela Carmen Pascariu & Teodor Lucian Moga, 2022. "Growth and convergence in Eastern Partnership and Central Asian countries since the dissolution of the USSR—embarking on different development paths?," Development Policy Review, Overseas Development Institute, vol. 40(1), January.
    83. Thompson, Kristina & Ophem, Johan van & Wagemakers, Annemarie, 2019. "Studying the impact of the Eurozone’s Great Recession on health: Methodological choices and challenges," Economics & Human Biology, Elsevier, vol. 35(C), pages 162-184.
    84. Elena Fernández-Rodríguez & Roberto García-Fernández & Antonio Martínez-Arias, 2019. "Influence of Ownership Structure on the Determinants of Effective Tax Rates of Spanish Companies," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    85. Friebel, Rocco & Fisher, Rebecca & Deeny, Sarah R. & Gardner, Tim & Molloy, Aoife & Steventon, Adam, 2019. "The implications of high bed occupancy rates on readmission rates in England: A longitudinal study," Health Policy, Elsevier, vol. 123(8), pages 765-772.
    86. Yeun-Touh Li & Jan-Dirk Schmöcker, 2017. "Adaptation patterns to high speed rail usage in Taiwan and China," Transportation, Springer, vol. 44(4), pages 807-830, July.
    87. Pablo Villalobos Dintrans & Claire Chaumont, 2017. "Examining the relationship between human resources and mortality: the effects of methodological choices," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(3), pages 361-370, April.
    88. Teresa Grijó & Isabel Soares, 2016. "Solar photovoltaic investments and economic growth in EU: Are we able to evaluate the nexus?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 18(5), pages 1415-1432, October.
    89. Jelena J. Stankoviæ & Ivana Marjanoviæ & Sandra Milanoviæ & Milica Jovanoviæ Vujatoviæ, 2022. "Determinants of entrepreneurial dynamics:The Case of the European Union," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 40(2), pages 329-351.
    90. Oana Cristina Popovici & Adrian Cantemir Calin, 2017. "The Role of Foreign and Domestic Investment in Promoting Exports and Imports. A Dynamic Panel Approach," Working papers Globalization - Economic, Social and Moral Implications, April 2017 16, Research Association for Interdisciplinary Studies.
    91. Bahman Huseynli, 2024. "Analyzing the Relationship between Renewable Energy Sources, Economic Growth and Energy Consumption in Greece," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 89-95, March.
    92. Elisa Di Febo & Eliana Angelini, 2022. "Internet banking, age, gender, and performance: Which connections in Italy?," Bank i Kredyt, Narodowy Bank Polski, vol. 53(3), pages 295-324.
    93. Ei Ei Phyoe, 2015. "The Relationship between Foreign Direct Investment and Economic Growth of Selected ASEAN Countries," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 1(4), pages 132-146.
    94. Faris Alshubiri & Syed Ahsan Jamil & Samia Fekir, 2024. "Corruption Control, Government Effectiveness and Banking Stability: Does Corruption Grease or Sand the Wheels?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2656-2681, March.
    95. Luis Alfonso Dau & Elizabeth M Moore & William Newburry, 2020. "The grass is always greener: The impact of home and host country CSR reputation signaling on cross-country investments," Journal of International Business Policy, Palgrave Macmillan, vol. 3(2), pages 154-182, June.
    96. Cristian Incaltarau & Gabriela Carmen Pascariu & Neculai‐Cristian Surubaru, 2020. "Evaluating the Determinants of EU Funds Absorption across Old and New Member States – the Role of Administrative Capacity and Political Governance," Journal of Common Market Studies, Wiley Blackwell, vol. 58(4), pages 941-961, July.
    97. Jonathan Taglialatela & Ivan Miroshnychenko & Roberto Barontini & Francesco Testa, 2024. "Talk or walk? The board of directors and firm environmental strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 2890-2910, May.
    98. Babakholov, Sherzod & Bobojonov, Ihtiyor & Hasanov, Shavkat & Glauben, Thomas, 2022. "An empirical assessment of the interactive impacts of irrigation and climate on farm productivity in Samarkand region, Uzbekistan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7.
    99. Yuhao Lu & Nicholas C Coops, 2018. "Bright lights, big city: Causal effects of population and GDP on urban brightness," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-15, July.
    100. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
    101. Renato Santiago & José Alberto Fuinhas & António Cardoso Marques, 2020. "The impact of globalization and economic freedom on economic growth: the case of the Latin America and Caribbean countries," Economic Change and Restructuring, Springer, vol. 53(1), pages 61-85, February.
    102. Marko Peric & Vanja Vitezic & Ana Peric Hadzic, 2020. "Firm Size €“ Firm Growth Relationship During Economic Crisis," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 29(1), pages 29-53, june.
    103. Trin Sittisawad & Pariyada Sukcharoensin, 2018. "Success Factors of Financial Derivatives Markets in Asia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 25(2), pages 71-86, June.
    104. Aiqun Wang & Ming Zhang & Shuya Zhou, 2022. "Air Pollution, Environmental Violation Risk, and the Cost of Debt: Evidence from China," IJERPH, MDPI, vol. 19(6), pages 1-23, March.
    105. Diana Barros, Aurora A.C. Teixeira, 2021. "The technology balance of payments and international competitiveness: a panel data analysis of southern European countries, 2000-2017," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 18(1), pages 105-136, June.
    106. Vyshnevskyi, Iegor & Jombo, Wytone & Sohn, Wook, 2024. "The clarity of monetary policy communication and financial market volatility in developing economies," Emerging Markets Review, Elsevier, vol. 59(C).
    107. Damien KUNJAL & Jameson NYASHA & Author-Name: Amir GHISYAN & Author-Name: Prinushlee J.GOVENDER & Sameshen MURUGASEN & Priyen NAIDOO & Dhruva S. PATEL & Paul-Francois MUZINDUTSI, 2021. "The Effect of Managerial Overconfidence on Firm Value: Evidence from the Johannesburg Stock Exchange," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 6(1), pages 1-14, June.
    108. Garidzirai Rufaro & Muzindutsi Paul-Francois, 2020. "A Panel ARDL Analsis of the Productivity of Key Economic Sectors Contributing to Local Economic Growth in an Emerging Country," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 65(1), pages 39-53, April.
    109. Haslinda Yusoff & Faizah Darus & Sharifah Aminah Ab Rahman, 2015. "Do corporate governance mechanisms influence environmental reporting practices? Evidence from an emerging country," International Journal of Business Governance and Ethics, Inderscience Enterprises Ltd, vol. 10(1), pages 76-96.
    110. Hyunsoo Kang, 2021. "CO 2 Emissions Embodied in International Trade and Economic Growth: Empirical Evidence for OECD and Non-OECD Countries," Sustainability, MDPI, vol. 13(21), pages 1-20, November.
    111. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    112. Dées, Stéphane & Özyurt, Selin, 2015. "Regional dynamics of economic performance in the EU: To what extent spatial spillovers matter?," Working Paper Series 1870, European Central Bank.
    113. Jaroslava Kádárová & Laura Lachvajderová & Dominika Sukopová, 2023. "Impact of Digitalization on SME Performance of the EU27: Panel Data Analysis," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
    114. Haque, Faizul, 2017. "The effects of board characteristics and sustainable compensation policy on carbon performance of UK firms," The British Accounting Review, Elsevier, vol. 49(3), pages 347-364.
    115. Seydou Coulibaly & Abdramane Camara, 2021. "Working Paper 354 - Taxation, Foreign Direct Investment and Spillover Effects in the Mining Sector," Working Paper Series 2480, African Development Bank.
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    108. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.
    109. Li, Dong & Li, Qi, 2010. "Nonparametric/semiparametric estimation and testing of econometric models with data dependent smoothing parameters," Journal of Econometrics, Elsevier, vol. 157(1), pages 179-190, July.
    110. Mohammad Dulal Miah & Muhammad Shafiullah & Md. Samsul Alam, 2024. "The effect of financial stress on renewable energy consumption: evidence from US data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26623-26646, October.

  16. Cheng Hsiao & Siyan Wang, 2006. "Lag-Augmented Two- and Three-Stage Least Squares Estimators for Integrated Structural Dynamic Models," IEPR Working Papers 06.55, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Krzysztof Bartosik & Jerzy Mycielski, 2017. "The output employment elasticity and the increased use of temporary contracts: evidence from Poland," Working Papers 2017-23, Faculty of Economic Sciences, University of Warsaw.
    2. Matthew Oliver & Charles Mason & David Finnoff, 2014. "Pipeline congestion and basis differentials," Journal of Regulatory Economics, Springer, vol. 46(3), pages 261-291, December.
    3. Krzysztof Bartosik & Jerzy Mycielski, 2016. "Dynamika płac a długotrwałe bezrobocie w polskiej gospodarce," Bank i Kredyt, Narodowy Bank Polski, vol. 47(5), pages 435-462.

  17. Campos, Nauro & Hsiao, Cheng & Nugent, Jeffrey B, 2006. "Crises, What Crises?," CEPR Discussion Papers 5805, C.E.P.R. Discussion Papers.

    Cited by:

    1. Fabrizio Coricelli & Mathilde Maurel, 2010. "Growth and crisis in transition: a comparative perspective," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00469327, HAL.
    2. Campos, Nauro F. & Horváth, Roman, 2006. "Reform Redux: Measurement, Determinants and Reversals," IZA Discussion Papers 2093, Institute of Labor Economics (IZA).
    3. Neil Foster, 2008. "The Impact of Trade Liberalisation on Economic Growth: Evidence from a Quantile Regression Analysis," Kyklos, Wiley Blackwell, vol. 61(4), pages 543-567, November.

  18. Cheng Hsiao & Siyan Wang, 2005. "Should China Let Her Exchange Rate Float? — the Experience of Developing Countries," Economic Growth Centre Working Paper Series 0509, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.

    Cited by:

    1. Muhammad Naveed Jamil & Abdul Rasheed & Adnan Maqbool & Zeeshan Mukhtar, 2023. "Cross-cultural study the macro variables and its impact on exchange rate regimes," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.
    2. Muhammad Naveed Jamil & Hafsa Khan & Zuhaib Nishtar & Dr. Abdul Rasheed, 2023. "Exploring The Role Of Stock Exchanges And Exchange Rates For Sustainable Economic Development: A Cross Culture Study Of Emerging And Developed Markets," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(2), pages 308-319.

  19. Cheng Hsiao, 2005. "Why Panel Data?," IEPR Working Papers 05.33, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Mdingi, Kholeka & Ho, Sin-Yu, 2023. "Income inequality and economic growth: An empirical investigation in South Africa," MPRA Paper 117733, University Library of Munich, Germany.
    2. Inderjit Kaur, 2017. "Performance of Equity Mutual Fund and Educational Credentials of Fund Manager," Vision, , vol. 21(1), pages 23-34, March.
    3. Taimoor Arif Kiani & Samina Sabir & Unbreen Qayyum & Sohail Anjum, 2023. "Estimating the effect of technological innovations on environmental degradation: empirical evidence from selected ASEAN and SAARC countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6529-6550, July.
    4. Sebastian ENEA & Silvia PALASCA, 2014. "Assessing Economic Vulnerability In The European Union," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 1, pages 90-103.
    5. Ho, Sin-Yu, 2018. "Determinants of Economic Growth in Hong Kong: The Role of Stock Market Development," MPRA Paper 88788, University Library of Munich, Germany.
    6. Cuyvers, Ludo & Soeng, Reth & Plasmans, Joseph & Van Den Bulcke, Daniel, 2011. "Determinants of foreign direct investment in Cambodia," Journal of Asian Economics, Elsevier, vol. 22(3), pages 222-234, June.
    7. Raquel Redondo & Carmen Valor & Isabel Carrero, 2022. "Unraveling the Relationship between Well-Being, Sustainable Consumption and Nature Relatedness: a Study of University Students," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 913-930, April.
    8. Odunayo Magret Olarewaju & Stephen Oseko Migiro & Mabutho Sibanda, 2017. "Effect of Agency Costs on Executive Compensation in South African Commercial Banks," Journal of Economics and Behavioral Studies, AMH International, vol. 9(4), pages 25-37.
    9. Ho, Sin-Yu, 2017. "The Macroeconomic Determinants of Stock Market Development: Evidence from Malaysia," MPRA Paper 77232, University Library of Munich, Germany.
    10. Ludo Cuyvers & Reth Soeng, 2011. "The effects of Belgian outward direct investment in European high‐wage and low‐wage countries on employment in Belgium," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(3), pages 300-312, June.
    11. Rao, Purnima & Goyal, Nisha & Kumar, Satish & Hassan, M. Kabir & Shahimi, Shahida, 2021. "Vulnerability of financial markets in India: The contagious effect of COVID-19," Research in International Business and Finance, Elsevier, vol. 58(C).
    12. Richard Grabowski & Sharmistha Self, 2022. "Role of agricultural productivity growth in economic development: the neglected impact on institutional quality in Africa," Evolutionary and Institutional Economics Review, Springer, vol. 19(2), pages 681-700, September.
    13. CUYVERS, Ludo & PLASMANS, Joseph & SOENG, Reth & VAN DEN BULCKE, Daniël, 2008. "Determinants of foreign direct investment in Cambodia: Country-specific factor differentials," Working Papers 2008003, University of Antwerp, Faculty of Business and Economics.
    14. Juan-Gabriel Gonzalez-Morales & Marina Checa-Olivas & Rafael Cano-Guervos, 2021. "Impact of Evictions and Tourist Apartments on the Residential Rental Market in Spain," Sustainability, MDPI, vol. 13(13), pages 1-13, July.
    15. Ntokozo Patrick Nzimande & Harold Ngalawa, 2017. "The endogeneity of business cycle synchronisation in SADC: A GMM approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1358914-135, January.
    16. Sophocles Vogiazas & Constantinos Alexiou, 2013. "Liquidity And The Business Cycle: Empirical Evidence From The Greek Banking Sector," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(199), pages 109-126, October -.
    17. Marcelo Rabelo Henrique & Sandro Braz Silva & Ant?nio Saporito & S¨¦rgio Roberto da Silva, 2020. "Determinants of the Capital Structure of Companies Listed on the Stock Exchanges of Argentina, Brazil and Chile: An Empirical Analysis of the Period from 2007 to 2016," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(6), pages 1-18, June.
    18. Mei Zhang & Jia Tang & Jun Gao, 2023. "Examining the Effects of Built Environments and Individual Characteristics on Commuting Time under Spatial Heterogeneity: An Empirical Study in China Using HLM," Land, MDPI, vol. 12(8), pages 1-20, August.
    19. Bredow, Sabrina Monique Schenato & Cunha, André Moreira & Lélis, Marcos Tadeo Caputi, 2022. "Effects of higher commodity prices on exports of manufactures: the case of Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    20. Tavi Supriana & Chicka Willy Yanti, 2013. "Prospect of Indonesia black and white peppers export," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 5(1), pages 1-14, April.
    21. Ayub, Usman & Qaddus, Uzma & Zakaria, Muhammad & Shafique, Attayah & Ahmed, Junaid, 2018. "Thou should not panic! Let calmness fight the Crocodile Bite," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 302-315.
    22. Ho, Sin-Yu, 2017. "The Macroeconomic Determinants of Stock Market Development: Evidence from South Africa," MPRA Paper 76493, University Library of Munich, Germany.
    23. Wenbin Sun & Shanji Yao & Rahul Govind, 2019. "Reexamining Corporate Social Responsibility and Shareholder Value: The Inverted-U-Shaped Relationship and the Moderation of Marketing Capability," Journal of Business Ethics, Springer, vol. 160(4), pages 1001-1017, December.
    24. Shafique, Attayah & Ayub, Usman & Zakaria, Muhammad, 2019. "Don’t let the Greed catch you! Pleonexia rule applied to Pakistan stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 157-168.
    25. Khanindra Ch. Das & Mantu Kumar Mahalik, 2021. "Assessment of Overseas Subsidiary Survival in Chinese Provinces: A Longitudinal Study of Indian Multinationals," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(2), pages 190-207, June.
    26. Lazzem, Safa & Jilani, Faouzi, 2018. "The impact of leverage on accrual-based earnings management: The case of listed French firms," Research in International Business and Finance, Elsevier, vol. 44(C), pages 350-358.
    27. Steri, Roberto & Giorgino, Marco & Viviani, Diego, 2009. "The Italian hedge funds industry: An empirical analysis of performance and persistence," Journal of Multinational Financial Management, Elsevier, vol. 19(1), pages 75-91, February.
    28. Michele Manna, 2011. "Home bias in interbank lending and banks� resolution regimes," Temi di discussione (Economic working papers) 816, Bank of Italy, Economic Research and International Relations Area.
    29. Vogiazas, Sophocles & Alexiou, Constantinos, 2014. "‘Putting The Horse Before The Cart’: A Pre-Crisis Panel Data Investigation Of Greek Bank’S Credit Growth," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 10(1-2), January.
    30. Luis Otero-González & Luis-Ignacio Rodríguez-Gil & Milagros Vivel-Búa & Aracely Tamayo-Herrera, 2022. "Family Ownership, Corporate Governance and Risk-Taking," JRFM, MDPI, vol. 15(3), pages 1-15, February.
    31. Krubnik, Alicja, 2021. "IMF conditionality, social programmes and the impact of women's welfare: an empirical analysis of historical policy responses to financial crises in Latin America and their gendered effects," LSE Research Online Documents on Economics 112939, London School of Economics and Political Science, LSE Library.
    32. Yingchao Lin & Zhili Ma & Ke Zhao & Weiyan Hu & Jing Wei, 2018. "The Impact of Population Migration on Urban Housing Prices: Evidence from China’s Major Cities," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    33. Wang, Jiangbo & Yamamoto, Toshiyuki & Liu, Kai, 2021. "Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models," Transport Policy, Elsevier, vol. 105(C), pages 166-180.
    34. Hussain, Shahzad & Akbar, Muhammad & Malik, Qaisar & Ahmad, Tanveer & Abbas, Nasir, 2021. "Downside Systematic Risk in Pakistani Stock Market: Role of Corporate Governance, Financial Liberalization and Investor Sentiment," CAFE Working Papers 14, Centre for Accountancy, Finance and Economics (CAFE), Birmingham City Business School, Birmingham City University.
    35. Destaw M. Mazengia & Xia Youfu, 2021. "The Moderating Effect of Institutional Environment on Oilseed Export Competitiveness in Sub-Saharan African Countries," International Journal of Science and Business, IJSAB International, vol. 5(4), pages 189-206.
    36. Li-Jen Yeh & Hsien-Chang Kuo, 2021. "Board Capitals, R&D and Leverage Strategies on Financial Performance," Business and Economic Research, Macrothink Institute, vol. 11(2), pages 123-144, June.
    37. Pooja Thakur & L.G. Burange, 2016. "An Analysis of Productivity Spillovers from Foreign Direct Investment in India’s Services Sector," Foreign Trade Review, , vol. 51(4), pages 271-286, November.
    38. Mahmoud Al‐Akra & Ian Eddie & Muhammad Ali, 2010. "The association between privatisation and voluntary disclosure: Evidence from Jordan," Accounting and Business Research, Taylor & Francis Journals, vol. 40(1), pages 55-74.

  20. C. Hsiao & P. Chen, 2005. "The Transition Process in China: a Theoretical and Empirical Study," Computing in Economics and Finance 2005 210, Society for Computational Economics.

    Cited by:

    1. Pu Chen & Chih-Ying Hsiao, 2007. "The Transition Process In China: An Economic Development Perspective," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 32(2), pages 113-134, December.

  21. Jian Yang & Cheng Hsiao & Qi Li & Zijun Wang, 2005. "The Emerging Market Crisis and Stock Market Linkages: Further Evidence," IEPR Working Papers 05.27, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Refk Selmi & Jamal Bouoiyour & Amal Miftah, 2019. "China's “New normal”: Will China's growth slowdown derail the BRICS stock markets?," International Economics, CEPII research center, issue 159, pages 121-139.
    2. Balli, Faruk & Balli, Hatice O. & Jean Louis, Rosmy & Vo, Tuan Kiet, 2015. "The transmission of market shocks and bilateral linkages: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 349-357.
    3. Yang, Jian & Yu, Ziliang & Deng, Yongheng, 2018. "Housing price spillovers in China: A high-dimensional generalized VAR approach," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 98-114.
    4. Viorica Chirilă & Ciprian Chirilă, 2020. "Asymmetric Return and Volatility Transmission in Euro Zone and Baltic Countries Stock Markets," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 2-11, December.
    5. Payal Jain & Sanjay Sehgal, 2019. "An examination of return and volatility spillovers between mature equity markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 180-210, January.
    6. Jan F. Kiviet & Zhenxi Chen, 2018. "A Critical Appraisal of Studies Analyzing Co-movement of International Stock Markets," Annals of Economics and Finance, Society for AEF, vol. 19(1), pages 151-196, May.
    7. Kunlin Hsieh & Yuching Hsieh & Shigeyuki Hamori, 2010. "The Interdependence of Taiwanese and Japanese Stock Prices," Economics Bulletin, AccessEcon, vol. 30(1), pages 879-892.
    8. Louis Gagnon & G. Andrew Karolyi, 2006. "Price and Volatility Transmission across Borders," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 15(3), pages 107-158, August.
    9. Yang, Jian & Yu, Ziliang & Ma, Jun, 2019. "China's financial network with international spillovers: A first look," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    10. Shailesh Rastogi, 2013. "Long-term Association of Stock Markets of Different Nations: An Empirical Study," Vision, , vol. 17(4), pages 303-313, December.
    11. Florin Aliu & Besnik Krasniqi & Adriana Knapkova & Fisnik Aliu, 2019. "Interdependence and Risk Comparison of Slovak, Hungarian and Polish Stock Markets: Policy and Managerial Implications," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(2), pages 273-287, June.
    12. John Beirne & Guglielmo Maria Caporale & Marianne Schulze-Ghattas & Nicola Spagnolo, 2009. "Global and Regional Spillovers in Emerging Stock Markets: A Multivariate GARCH-in-mean Analysis," CESifo Working Paper Series 2794, CESifo.
    13. Numan Ülkü, 2011. "Modeling Comovement among Emerging Stock Markets: The Case of Budapest and Istanbul," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(3), pages 277-304, July.
    14. Guidi, Francesco & Gupta, Rakesh, 2010. "Cointegration and conditional correlations among German and Eastern Europe equity markets," MPRA Paper 21732, University Library of Munich, Germany.
    15. Jan F. Kiviet, 2016. "Discriminating between (in)valid external instruments and (in)valid exclusion restrictions," Economic Growth Centre Working Paper Series 1508, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    16. Nistor, Costel & Stefanescu, Razvan & Dumitriu, Ramona, 2009. "The impact of the US stock market on the Romanian stock market in the context of the financial crisis," MPRA Paper 36862, University Library of Munich, Germany, revised 22 Feb 2012.
    17. Rousova, Linda, 2009. "Are the Central European Stock Markets Still Different? A Cointegration Analysis," Discussion Papers in Economics 10993, University of Munich, Department of Economics.
    18. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    19. Jamal Bouoiyour & Refk Selmi, 2016. "The responses of BRICS Equities to China's Slowdown: A Multi-Scale Causality Analysis," Working papers of CATT hal-01880323, HAL.
    20. Ziliang Yu & Jian Yang & Robert I. Webb, 2023. "Price discovery in China's crude oil futures markets: An emerging Asian benchmark?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 297-324, March.
    21. Neharika Sobti, 2018. "Domestic intermarket linkages: measuring dynamic return and volatility connectedness among Indian financial markets," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(4), pages 325-344, December.
    22. Petmezas, Dimitris & Santamaria, Daniel, 2014. "Investor induced contagion during the banking and European sovereign debt crisis of 2007–2012: Wealth effect or portfolio rebalancing?," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 401-424.
    23. Hui, Eddie C.M. & Chen, Jia, 2012. "Investigating the change of causality in emerging property markets during the financial tsunami," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 3951-3962.
    24. Balli, Faruk & Hajhoj, Hassan Rafdan & Basher, Syed Abul & Ghassan, Hassan Belkacem, 2015. "An analysis of returns and volatility spillovers and their determinants in emerging Asian and Middle Eastern countries," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 311-325.
    25. Ibhagui, Oyakhilome, 2018. "Interrelations among cross-currency basis swap spreads: Pre-and post-crisis analysis," MPRA Paper 89024, University Library of Munich, Germany.
    26. Sanjay Sehgal & Payal Jain & Florent Deisting, 2018. "Information Transmission between Mature and Emerging Equity Markets During Normal and Crisis Periods: An Empirical Examination," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 185-225, March.
    27. Calice, Giovanni, 2014. "CDX and iTraxx and their relation to the systemically important financial institutions: Evidence from the 2008–2009 financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 20-37.
    28. Chen, Chuanglian & Zhou, Lichao & Sun, Chuanwang & Lin, Yuting, 2024. "Does oil future increase the network systemic risk of financial institutions in China?," Applied Energy, Elsevier, vol. 364(C).
    29. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    30. Jiadong Tong & Zijun Wang & Jian Yang, 2016. "Information Flow Between Forward and Spot Markets: Evidence From the Chinese Renminbi," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(7), pages 695-718, July.
    31. Grabowski, Wojciech & Welfe, Aleksander, 2020. "The Tobit cointegrated vector autoregressive model: An application to the currency market," Economic Modelling, Elsevier, vol. 89(C), pages 88-100.
    32. Francisca Pérez, 2013. "Are International Market Linkages Stronger? Comparison between 1990s and 2000s," Working Papers Central Bank of Chile 687, Central Bank of Chile.
    33. Jan F. Kiviet & Zhenxi Chen, 2016. "A critical appraisal of studies analyzing co-movement of international stock markets with a focus on East-Asian indices," Economic Growth Centre Working Paper Series 1606, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    34. Rajan Sruthi & Santhakumar Shijin, 2020. "Investigating liquidity constraints as a channel of contagion: a regime switching approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-21, December.
    35. Andreou, Elena & Matsi, Maria & Savvides, Andreas, 2013. "Stock and foreign exchange market linkages in emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 248-268.
    36. Yang, Lixiong & Lee, Chingnun & Shie, Fu Shuen, 2014. "How close a relationship does a capital market have with other markets? A reexamination based on the equal variance test," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 198-226.
    37. Raúl de Jesús Gutiérrez & Edgar Ortiz & Oswaldo García Salgado, 2017. "Los efectos de largo plazo de la asimetría y persistencia en la predicción de la volatilidad: evidencia para mercados accionarios de América Latina," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1063-1080, Octubre-D.
    38. Ajaya Kumar Panda & Swagatika Nanda, 2018. "A GARCH Modelling of Volatility and M-GARCH Approach of Stock Market Linkages of North America," Global Business Review, International Management Institute, vol. 19(6), pages 1538-1553, December.
    39. Prashant Joshi, 2011. "Return and Volatility Spillovers Among Asian Stock Markets," SAGE Open, , vol. 1(1), pages 21582440114, June.
    40. Li, Hong & Majerowska, Ewa, 2008. "Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach," Research in International Business and Finance, Elsevier, vol. 22(3), pages 247-266, September.

  22. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    2. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.
    3. M. Hashem Pesaran & Takashi Yamagata, 2005. "Testing Slope Homogeneity in Large Panels," IEPR Working Papers 05.14, Institute of Economic Policy Research (IEPR).
    4. Gerdie Everaert, 2017. "On the estimation of panel fiscal reaction functions : Heterogeneity or fiscal fatigue?," Working Paper Research 320, National Bank of Belgium.
    5. Markus Knell & Alfred Stiglbauer, 2009. "The Impact of Reference Norms on Inflation Persistence When Wages are Staggered," Working Papers 153, Oesterreichische Nationalbank (Austrian Central Bank).
    6. Dorn, Sabrina & Egger, Peter, 2012. "On the Distribution of Exchange Rate Regime Treatment Effects on International Trade," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62054, Verein für Socialpolitik / German Economic Association.
    7. Dorina Lazăr & Alexandru Minea & Alexandra-Anca Purcel, 2019. "Pollution and economic growth: Evidence from Central and Eastern European countries," Post-Print hal-03182346, HAL.
    8. Soyyiğit Semanur & Michalski Bartosz, 2022. "The Economic Complexity of the Visegrád Countries and the Role of Trade with Germany," Central European Economic Journal, Sciendo, vol. 9(56), pages 219-236, January.
    9. Julien Fouquau, 2007. "The Feldstein-Horiaka Puzzle: a Panel Smooth Transition Regression Approach," Post-Print halshs-00222938, HAL.
    10. Fabian Dunker & Konstantin Eckle & Katharina Proksch & Johannes Schmidt-Hieber, 2017. "Tests for qualitative features in the random coefficients model," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 225, Courant Research Centre PEG.
    11. Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
    12. Kajal Lahiri & Fushang Liu, 2006. "Modelling multi‐period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219, December.
    13. Łukasz Goczek & Dagmara Mycielska, 2014. "Monetary policy and nominal convergence in CEE countries with inflation targeting," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 38.
    14. M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters, in: The Risks of Financial Institutions, pages 419-469, National Bureau of Economic Research, Inc.
    15. Jondeau, Eric & Imbs, Jean & Pelgrin, Florian, 2007. "Aggregating Phillips Curves," CEPR Discussion Papers 6184, C.E.P.R. Discussion Papers.
    16. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    17. Felipe Zurita, 2008. "La Predicción de la Insolvencia de Empresas Chilenas," Documentos de Trabajo 336, Instituto de Economia. Pontificia Universidad Católica de Chile..
    18. Anne-Laure Delatte & Julien Fouquau, 2011. "The determinants of International Reserves in the Emerging countries: a non linear approach," Post-Print hal-00822326, HAL.
    19. di Giovanni, Julian & Shambaugh, Jay C., 2008. "The impact of foreign interest rates on the economy: The role of the exchange rate regime," Journal of International Economics, Elsevier, vol. 74(2), pages 341-361, March.
    20. Semanur SOYYİĞİT & Sevgi ELVERDİ, 2024. "The Participation Of G20 Countries In Global Value Chains And Their Effects On Economic Complexity," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 19(1), pages 236-254, April.
    21. Yuya Sasaki & Yulong Wang, 2019. "Fixed-k Inference for Conditional Extremal Quantiles," Papers 1909.00294, arXiv.org, revised Jul 2020.
    22. Maiti, Abhradeep & Indra, Debarshi, 2014. "Regional Variations in Labor Demand Elasticities: Evidence from U.S. Counties," MPRA Paper 57544, University Library of Munich, Germany.
    23. Ann Owen & Julio Videras & Lewis Davis, 2009. "Do all countries follow the same growth process?," Journal of Economic Growth, Springer, vol. 14(4), pages 265-286, December.
    24. Christophe Hurlin, 2007. "The Feldstein-Horioka Puzzle: a Panel Smooth Transition Regression Approach," Post-Print halshs-00270213, HAL.
    25. Abhradeep Maiti & Debarshi Indra, 2016. "Regional Variations In Labor Demand Elasticity: Evidence From U.S. Counties," Journal of Regional Science, Wiley Blackwell, vol. 56(4), pages 635-658, September.
    26. Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "International R&D spillovers, absorptive capacity and relative backwardness: a panel smooth transition regression model," Department of Economics Working Papers 1203, Department of Economics, University of Trento, Italia.
    27. Haas, Anette & Möller, Joachim, 2001. "Qualifizierungstrends und regionale Disparitäten : eine Untersuchung auf Grundlage der IAB-Regionalstichprobe aus der Beschäftigtenstatistik (Training trends and regional disparities : a study with th," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 34(2), pages 139-151.
    28. Timothy Neal, 2018. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15A, School of Economics, The University of New South Wales.
    29. Nadia Belhaj Hassine, 2008. "Technology Diffusion, International Spillovers and Human Capital in the Mediterranean Agricultural Sector," Working Papers 405, Economic Research Forum, revised 06 Jan 2008.
    30. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
    31. Felipe Zurita L., 2008. "Bankruptcy Prediction for Chilean Companies," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 11(1), pages 93-116, April.
    32. Rafal Raciborski, 2008. "Searching for additional sources of inflation persistence : the micro-price panel data approach," Working Paper Research 132, National Bank of Belgium.
    33. Mousa, Amani & Youssef, Ahmed H. & Abonazel, Mohamed R., 2011. "A Monte Carlo Study for Swamy’s Estimate of Random Coefficient Panel Data Model," MPRA Paper 49768, University Library of Munich, Germany.
    34. Youssef, Ahmed H. & Abonazel, Mohamed R., 2009. "A Comparative Study for Estimation Parameters in Panel Data Model," MPRA Paper 49713, University Library of Munich, Germany.
    35. Widman, Marit & Elofsson, Katarina, 2018. "Costs of Livestock Depredation by Large Carnivores in Sweden 2001 to 2013," Ecological Economics, Elsevier, vol. 143(C), pages 188-198.
    36. Joseph P. Byrne & Michela Vecchi, 2010. "Does labour productivity flow across industries? Estimation robust to panel heterogeneity and cross sectional correlation," Applied Economics Letters, Taylor & Francis Journals, vol. 17(2), pages 111-115, January.
    37. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    38. Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023. "Deep Neural Network Estimation in Panel Data Models," Papers 2305.19921, arXiv.org.
    39. Semanur SoyyiÄŸit, 2019. "The Relationship Between Middle Income Trap and Structural Transformation: The Case of Selected Countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(4), pages 217-235, December.
    40. Martin Falk & Mariya Hake, 2008. "Wachstumswirkungen der Forschungsausgaben," WIFO Studies, WIFO, number 34120.
    41. Tondl, Gabriele & Prüfer, Patricia, 2007. "Does it Make a Difference? Comparing Growth Effects of European and North American FDI in Latin America," Proceedings of the German Development Economics Conference, Göttingen 2007 26, Verein für Socialpolitik, Research Committee Development Economics.
    42. Lai, Jennifer T. & McNelis, Paul D. & Yan, Isabel K.M., 2013. "Regional capital mobility in China: Economic reform with limited financial integration," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 493-503.
    43. Lin Chang-Ching & Ng Serena, 2012. "Estimation of Panel Data Models with Parameter Heterogeneity when Group Membership is Unknown," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 42-55, August.
    44. Markus Knell & Alfred Stiglbauer, 2012. "Reference Norms, Staggered Wages, And Wage Leadership: Theoretical Implications And Empirical Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(2), pages 569-592, May.
    45. Sebastien Lechevalier & Cyrille Dossougoin & Christophe Hurlin & Satoko Takaoka, 2014. "How did the Japanese Employment System Change?Investigating the Heterogeneity of Downsizing Practices across Firms," KIER Working Papers 883, Kyoto University, Institute of Economic Research.

  23. Michael Binder & Cheng Hsiao & Jan Mutl & M. Hashem Pesaran, 2002. "Computational Issues in the Estimation of Higher-Order Panel Vector Autoregressions," Computing in Economics and Finance 2002 345, Society for Computational Economics.

    Cited by:

    1. Jan Mutl, 2002. "Panel VAR Models with Spatial Dependence," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-2, International Conferences on Panel Data.
    2. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.

  24. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2002. "Aggregate vs Disaggregate Data Analysis - A Paradox in the Estimation of Money Demand Function of Japan Under the Low Interest Rate Policy," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A4-1, International Conferences on Panel Data.

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    1. WAN, Shui-Ki & WANG, Shin-Huei & WOO, Chi-Keung, 2012. "Total tourist arrival forecast: aggregation vs. disaggregation," LIDAM Discussion Papers CORE 2012039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Pesaran, M. Hashem & Chudik, Alexander, 2011. "Aggregation in Large Dynamic Panels," IZA Discussion Papers 5478, Institute of Labor Economics (IZA).
    3. Hiroshi Fujiki, 2013. "Japanese Money Demand from the Regional Data: An Update and Some Additional Results," IMES Discussion Paper Series 13-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    4. Markus Eberhardt & Francis Teal, 2010. "Aggregation versus Heterogeneity in Cross-Country Growth Empirics," CSAE Working Paper Series 2010-32, Centre for the Study of African Economies, University of Oxford.
    5. Kajal Lahiri & Fushang Liu, 2006. "Modelling multi‐period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219, December.
    6. Trapani, Lorenzo & Urga, Giovanni, 2010. "Micro versus macro cointegration in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 155(1), pages 1-18, March.
    7. Cheng Hsiao, 2016. "Panel Macroeconometric Modeling," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    8. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    9. Cheng Hsiao & Qi Li & Zhongwen Liang & Wei Xie, 2019. "Panel Data Estimation for Correlated Random Coefficients Models," Econometrics, MDPI, vol. 7(1), pages 1-18, February.
    10. Jun Nagayasu, 2012. "Financial innovation and regional money," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4617-4629, December.
    11. Rostom,Ahmed Mohamed Tawfick, 2016. "Money demand in the Arab Republic of Egypt : a vector equilibrium correction model," Policy Research Working Paper Series 7679, The World Bank.
    12. A. Talha Yalta & Hatice Cakar, 2012. "Energy Consumption and Economic Growth in China: A Reconciliation," Working Papers 1202, TOBB University of Economics and Technology, Department of Economics.
    13. Kausik Chaudhuri & Payel Chowdhury & Subal Kumbhakar, 2015. "Crime in India: specification and estimation of violent crime index," Journal of Productivity Analysis, Springer, vol. 43(1), pages 13-28, February.
    14. Cheng Hsiao, 2005. "Longitudinal Data Analysis," Economic Growth Centre Working Paper Series 0510, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    15. Jia, Junxue & Guo, Qingwang & Zhang, Jing, 2014. "Fiscal decentralization and local expenditure policy in China," China Economic Review, Elsevier, vol. 28(C), pages 107-122.
    16. Sarah Moon, 2024. "Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model," Papers 2403.07236, arXiv.org, revised May 2024.
    17. Nora A. Mothafar & Jingxiao Zhang & Ibrahim Al-Maqrami, 2022. "The Evolution of Human Development Through the Eyes of ICT in Developing Countries Based on Panel Data from 2007 to 2017," Indian Journal of Human Development, , vol. 16(3), pages 578-601, December.
    18. Stefano Fachin & Andrea Gavosto, 2010. "Trends of labour productivity in Italy: a study with panel co‐integration methods," International Journal of Manpower, Emerald Group Publishing Limited, vol. 31(7), pages 755-769, October.
    19. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    20. Azeem, Muhammad Masood & Mugera, Amin W. & Schilizzi, Steven, 2016. "Poverty and vulnerability in the Punjab, Pakistan: A multilevel analysis," Journal of Asian Economics, Elsevier, vol. 44(C), pages 57-72.
    21. Helmut Herwartz & Jordi Sardà & Bernd Theilen, 2016. "Money demand and the shadow economy: empirical evidence from OECD countries," Empirical Economics, Springer, vol. 50(4), pages 1627-1645, June.
    22. Barry Abrams & Santharajah Kumaradevan & Vasilis Sarafidis & Frank Spaninks, 2012. "An Econometric Assessment of Pricing Sydney’s Residential Water Use," The Economic Record, The Economic Society of Australia, vol. 88(280), pages 89-105, March.
    23. Hiroshi Fujiki & Cheng Hsiao, 2008. "Aggregate and Household Demand for Money: Evidence from Public Opinion Survey on Household Financial Assets and Liabilities," IMES Discussion Paper Series 08-E-17, Institute for Monetary and Economic Studies, Bank of Japan.
    24. Qurat ul Ain & Tahir Yousaf & Yan Jie & Yasmeen Akhtar, 2020. "The Impact of Devolution on Government Size and Provision of Social Services: Evi¬dence from Pakistan," Hacienda Pública Española / Review of Public Economics, IEF, vol. 234(3), pages 105-135, September.
    25. Giacomo Sbrana, 2007. "Testing for Model Selection in Predicting Aggregate Variables," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(1), pages 3-28, March.

  25. Michael Binder & Cheng Hsiao & M. Hashem Pesaran, 2000. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Working Papers 0005, Banco de España.

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    1. Alessandra Colombelli & Francesco Quatraro, 2014. "The persistence of firms' knowledge base: a quantile approach to Italian data," Post-Print hal-01070566, HAL.
    2. Moser, Christoph & Urban, Dieter & di Mauro, Beatrice Weder, 2010. "International competitiveness, job creation and job destruction--An establishment-level study of German job flows," Journal of International Economics, Elsevier, vol. 80(2), pages 302-317, March.
    3. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    4. Milanovic,Branko L. & Van Der Weide,Roy & Milanovic,Branko L. & Van Der Weide,Roy, 2014. "Inequality is bad for growth of the poor (but not for that of the rich)," Policy Research Working Paper Series 6963, The World Bank.
    5. Pedro Mendi & Nadia Ayari & Szabolcs Blazsek, 2011. "Renewable energy innovations in Europe: A dynamic panel data approach," Post-Print hal-00711448, HAL.
    6. Magrini, Emiliano & Balié, Jean & Morales Opazo, Cristian, 2016. "Price signals and supply responses for staple food crops in SSA countries," DARE Discussion Papers 1601, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    7. Sekkat, Khalid, 2016. "Exchange rate misalignment and export diversification in developing countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 1-14.
    8. Michele Ca' Zorzi & Alexander Chudik & Alistair Dieppe, 2011. "Thousands of models, one story: current account imbalances in the global economy," Globalization Institute Working Papers 100, Federal Reserve Bank of Dallas.
    9. Jan Mutl, 2002. "Panel VAR Models with Spatial Dependence," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-2, International Conferences on Panel Data.
    10. Medina-Durango, Carlos Alberto & Posso Suárez, Christian Manuel & Tamayo, Jorge A. & Monsalve, Emma, 2012. "Dinámica de la demanda laboral en la industria manufacturera colombiana 1993-2009 : una estimación panel VAR," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 7, pages 289-330, Banco de la Republica de Colombia.
    11. Allen Head & Huw Lloyd-Ellis & Hongfei Sun, 2016. "Search, Liquidity, and the Dynamics of House Prices and Construction: Corrigendum," American Economic Review, American Economic Association, vol. 106(4), pages 1214-1219, April.
    12. Jan Mutl & Leopold Sögner, 2019. "Parameter estimation and inference with spatial lags and cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 597-635, July.
    13. Krafft Jackie & Quatraro Francesco & Colombelli Alessandra, 2011. "High Growth Firms and Technological Knowledge: Do gazelles follow exploration or exploitation strategies?," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201114, University of Turin.
    14. François Bourguignon & Pierre-Emmanuel Darpeix, 2016. "Air traffic and economic growth: the case of developing countries," PSE Working Papers halshs-01305412, HAL.
    15. Ivanovski, Kris & Hailemariam, Abebe, 2022. "Time-varying geopolitical risk and oil prices," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 206-221.
    16. M. Hashem Pesaran, 2003. "Estimation and Inference in Large Heterogenous Panels with Cross Section Dependence," CESifo Working Paper Series 869, CESifo.
    17. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    18. A. Ford Ramsey & Barry Goodwin & Mildred Haley, 2021. "Labor Dynamics and Supply Chain Disruption in Food Manufacturing," NBER Chapters, in: Risks in Agricultural Supply Chains, National Bureau of Economic Research, Inc.
    19. Po-Chin Wu & Shiao-Yen Liu & Tsai-Yuan Huang, 2017. "Non-linear Growth-Determinants Nexus: The Role of Sovereign Debt," Hacienda Pública Española / Review of Public Economics, IEF, vol. 222(3), pages 43-63, September.
    20. Eaton, Derek J.F., 2009. "Trade and Intellectual Property Rights in the Agricultural Seed Sector," 2009 Conference, August 16-22, 2009, Beijing, China 51782, International Association of Agricultural Economists.
    21. Hayakawa, Kazuhiko, 2016. "Improved GMM estimation of panel VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 240-264.
    22. Stelios Karagiannis & Yannis Panagopoulos & Aristotelis Spiliotis, 2011. "The Basel II Influence on the Money Supply Process: A Comparative Analysis of the Eurozone and the United States," Chapters, in: Claude Gnos & Louis-Philippe Rochon (ed.), Credit, Money and Macroeconomic Policy, chapter 9, Edward Elgar Publishing.
    23. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    24. Alex Coad & Rekha Rao, 2010. "Firm growth and R&D expenditure," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(2), pages 127-145.
    25. Richard G. Anderson & Hailong Qian & Robert H. Rasche, 2006. "Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators," Working Papers 2006-050, Federal Reserve Bank of St. Louis.
    26. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    27. Arvid Raknerud, 2001. "A State Space Approach for Estimating VAR Models for Panel Data with Latent Dynamic Components," Discussion Papers 295, Statistics Norway, Research Department.
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    29. Hayakawa, K. & Pesaran, M.H., 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Models," Cambridge Working Papers in Economics 1224, Faculty of Economics, University of Cambridge.
    30. Hsiao, Cheng & Zhou, Qiankun, 2015. "Statistical inference for panel dynamic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 189(2), pages 383-396.
    31. Michael Binder & Marcel Bluhm, 2010. "On the Conditional Effects of IMF Program Participation on Output Growth," CESifo Working Paper Series 3161, CESifo.
    32. Muhammad Mahmood Shah Khan & Farrukh Ijaz & Ejaz Aslam, 2014. "Determinants of Profitability of Islamic Banking Industry: An Evidence from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 6(2), pages 27-46, October.
    33. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    34. Ca' Zorzi, Michele & Dieppe, Alistair & Chudik, Alexander, 2009. "Current account benchmarks for central and eastern Europe: a desperate search?," Working Paper Series 995, European Central Bank.
    35. Alberto Montagnoli & Konstantinos Mouratidis & Kemar Whyte, 2018. "Assessing the Cyclical Behaviour of Bank Capital Buyers in a Finance-Augmented Macro-Economy," Working Papers 2018003, The University of Sheffield, Department of Economics.
    36. Alexander Chudik & Vanessa Smith, 2013. "The GVAR approach and the dominance of the U.S. economy," Globalization Institute Working Papers 136, Federal Reserve Bank of Dallas.
    37. Francesco Quatraro, 2013. "Co-evolutionary patterns in regional knowledge bases and economic structure: evidence from European Regions," Working Papers hal-00992080, HAL.
    38. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    39. Alex Coad, 2006. "A Closer Look at Serial Growth Rate Correlation," LEM Papers Series 2006/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Sven Wardenburg & Thomas Brenner, 2021. "Analysing the spatio-temporal diffusion of economic change - advanced statistical approach and exemplary application," Working Papers on Innovation and Space 2021-01, Philipps University Marburg, Department of Geography.
    41. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    42. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Data Models," IZA Discussion Papers 6583, Institute of Labor Economics (IZA).
    43. Cheng Hsiao, 2016. "Panel Macroeconometric Modeling," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    44. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    45. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo.
    46. Delis, Manthos D. & Kouretas, Georgios P., 2011. "Interest rates and bank risk-taking," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 840-855, April.
    47. Li, Huijuan & Cai, Weihong & Li, Wenxiu, 2021. "Does global value chains participation improve skill premium? Mediating role of skill-biased technological change," Economic Modelling, Elsevier, vol. 99(C).
    48. Alexandra Fratila (Adam) & Ioana Andrada Gavril (Moldovan) & Sorin Cristian Nita & Andrei Hrebenciuc, 2021. "The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    49. Giovanni Peri, 2004. "Catching-Up to Foreign Technology? Evidence on the "Veblen-Gerschenkron" Effect of Foreign Investments," NBER Working Papers 10893, National Bureau of Economic Research, Inc.
    50. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    51. Mehmet Balcilar & Busra Agan, 2024. "Identifying the Key Drivers in Energy Technology Fields: The Role of Spillovers and Public Policies," Sustainability, MDPI, vol. 16(20), pages 1-28, October.
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    54. Francesco Quatraro, 2012. "The Co-Evolution of Knowledge and Economic Structure: Evidence from European Regions," GREDEG Working Papers 2012-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    55. Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of linear dynamic panel data models with time-invariant regressors," Discussion Papers 25/2013, Deutsche Bundesbank.
    56. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
    57. Martin Stojanovikj & Goran Petrevski, 2021. "Macroeconomic effects of inflation targeting in emerging market economies," Empirical Economics, Springer, vol. 61(5), pages 2539-2585, November.
    58. Sambit Bhattacharyya & Maurizio Intartaglia, 2021. "Foreign aid network diversification and its impact on growth, growth acceleration, and growth spell," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1216-1242, August.
    59. Hailiang Chen & Prabuddha De & Yu Jeffrey Hu, 2015. "IT-Enabled Broadcasting in Social Media: An Empirical Study of Artists’ Activities and Music Sales," Information Systems Research, INFORMS, vol. 26(3), pages 513-531, September.
    60. Alex Coad, 2007. "Exploring the "mechanics" of firm growth: evidence from a short-panel VAR," Post-Print halshs-00175048, HAL.
    61. Marc Suhrcke & Dieter Urban, 2010. "Are cardiovascular diseases bad for economic growth?," Health Economics, John Wiley & Sons, Ltd., vol. 19(12), pages 1478-1496, December.
    62. Delis, Manthos D & Staikouras, Panagiotis, 2009. "On-site audits, sanctions, and bank risk-taking: An empirical overture towards a novel regulatory and supervisory philosophy," MPRA Paper 16836, University Library of Munich, Germany.
    63. Rui Yang & Xin An & Yingwen Chen & Xiuli Yang, 2023. "The Knowledge Analysis of Panel Vector Autoregression: A Systematic Review," SAGE Open, , vol. 13(4), pages 21582440231, December.
    64. Koengkan, Matheus, 2018. "The positive impact of trade openness on consumption of energy: Fresh evidence from Andean community countries," Energy, Elsevier, vol. 158(C), pages 936-943.
    65. Marrero, Gustavo & Rodríguez, Jesús & Puch, Luis A., 2019. "Economic Growth, Energy Intensity and the Energy Mix," UC3M Working papers. Economics 28461, Universidad Carlos III de Madrid. Departamento de Economía.
    66. Lee, Grace H.Y. & Azali, M., 2010. "The endogeneity of the Optimum Currency Area criteria in East Asia," Economic Modelling, Elsevier, vol. 27(1), pages 165-170, January.
    67. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
    68. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    69. Hsiao, Cheng & Zhang, Junwei, 2015. "IV, GMM or likelihood approach to estimate dynamic panel models when either N or T or both are large," Journal of Econometrics, Elsevier, vol. 187(1), pages 312-322.
    70. Russell Thomson & Paul Jensen, 2013. "The Effects of Government Subsidies on Business R&D Employment: Evidence From Oecd Countries," National Tax Journal, National Tax Association;National Tax Journal, vol. 66(2), pages 281-310, June.
    71. Escobari, Diego, 2011. "Dynamic Pricing, Advance Sales, and Aggregate Demand Learning in Airlines," MPRA Paper 38509, University Library of Munich, Germany.
    72. G. Urga & P. A. Geroski & S. Lazarova & C. F. Walters, 2003. "Are differences in firm size transitory or permanent?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 47-59.
    73. Sigmund, Michael & Ferstl, Robert, 2021. "Panel vector autoregression in R with the package panelvar," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 693-720.
    74. Tsun Se Cheong & Yanrui Wu, 2013. "Globalization and Regional Inequality," Economics Discussion / Working Papers 13-10, The University of Western Australia, Department of Economics.
    75. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2018. "Gibrat’s law and quantile regressions: An application to firm growth," Economics Letters, Elsevier, vol. 164(C), pages 5-9.
    76. Mengmeng Hu & Yafei Wang & Beicheng Xia & Guohe Huang, 2023. "What is the relationship between energy consumption and economic development? New evidence from a rapidly growing economic development region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3601-3626, April.
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    81. Angeliki ANAGNOSTOU & Stephanos PAPADAMOU, 2014. "The Impact Of Monetary Shocks On Regional Output: Evidence From Four South Eurozone Countries," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 105-130.
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    2. M. Hashem Pesaran, 2003. "Estimation and Inference in Large Heterogenous Panels with Cross Section Dependence," CESifo Working Paper Series 869, CESifo.
    3. Giovanni Bella & Carla Massidda & Ivan Etzo, 2013. "A Panel Estimation of the Relationship between Income, Electric Power Consumption and CO2 Emissions," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 59(2), pages 149-166.
    4. Badi H. Baltagi & Georges Bresson & James M. Griffin & Alain Pirotte, 2003. "Homogeneous, heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption," Empirical Economics, Springer, vol. 28(4), pages 795-811, November.
    5. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    6. Nicos Christodoulakis & Vassilis Sarantides, 2011. "External asymmetries in the euro area and the role of foreign direct investment," Working Papers 132, Bank of Greece.
    7. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo.
    8. Martín-Mayoral, Fernando, 2008. "¿Existe convergencia entre los países de América Latina? [Exist convergence across Latinamerican countries]," MPRA Paper 16039, University Library of Munich, Germany.
    9. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
    10. Brücker, Herbert & Siliverstovs, Boriss, 2005. "On the Estimation and Forecasting of International Migration: How Relevant Is Heterogeneity Across Countries?," IZA Discussion Papers 1710, Institute of Labor Economics (IZA).
    11. Norman Gemmell & Richard Kneller, 2003. "Fiscal Policy, Growth and Convergence in Europe," Treasury Working Paper Series 03/14, New Zealand Treasury.
    12. Christiane Nickel & Andreas Tudyka, 2014. "Fiscal Stimulus in Times of High Debt: Reconsidering Multipliers and Twin Deficits," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1313-1344, October.
    13. Elena Cefis & Matteo Ciccarelli & Luigi Orsenigo, 2002. "From Gibrat’s legacy to Gibrat’s fallacy. A Bayesian approach to study the growth of firms," Working Papers (-2012) 0206, University of Bergamo, Department of Economics.
    14. Andrew Hallett & Gert Peersman & Laura Piscitelli, 2004. "Investment Under Monetary Uncertainty: A Panel Data Investigation," Economic Change and Restructuring, Springer, vol. 31(2), pages 137-162, June.
    15. Canova, Fabio & Ciccarelli, Matteo, 2003. "Panel Index VAR Models: Specification, Estimation, Testing and Leading Indicators," CEPR Discussion Papers 4033, C.E.P.R. Discussion Papers.
    16. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    17. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    18. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    19. Haque, N. U. & Pesaran, M. H. & Sharma, Sunil, 1999. "Neglected Heterogeneity and Dynamics in Cross-country Savings Regressions," Cambridge Working Papers in Economics 9904, Faculty of Economics, University of Cambridge.
    20. Jarociński, Marek, 2008. "Responses to monetary policy shocks in the east and the west of Europe: a comparison," Working Paper Series 970, European Central Bank.
    21. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    22. Yongcheol Shin & Ron P Smith & Mohammad Hashem Pesaran, 1998. "Pooled Mean Group Estimation of Dynamic Heterogeneous Panels," Edinburgh School of Economics Discussion Paper Series 16, Edinburgh School of Economics, University of Edinburgh.
    23. Denis Tverskoi & Andrea Guido & Giulia Andrighetto & Angel Sánchez & Sergey Gavrilets, 2023. "Disentangling material, social, and cognitive determinants of human behavior and beliefs," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    24. Mr. Alessandro Rebucci, 2003. "On the Heterogeneity Bias of Pooled Estimators in Stationary VAR Specifications," IMF Working Papers 2003/073, International Monetary Fund.
    25. Matteo Ciccarelli, 2001. "Testing Restrictions In Normal Data Models Using Gibbs Sampling," Working Papers. Serie AD 2001-17, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    26. Elena Cefis & Matteo Ciccarelli, 2005. "Profit differentials and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(1-2), pages 43-61.

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    2. Rahman, Sanzidur & Anik, Asif Reza, 2020. "Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture," Land Use Policy, Elsevier, vol. 94(C).
    3. Benos, Nikos, 2009. "Fiscal policy and economic growth: empirical evidence from EU countries," MPRA Paper 19174, University Library of Munich, Germany.
    4. Serge Mandiefe Piabuo & Peter A. Minang & Chupezi Julius Tieguhong & Divine Foundjem-Tita & Frankline Nghobuoche, 2021. "Illegal logging, governance effectiveness and carbon dioxide emission in the timber-producing countries of Congo Basin and Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14176-14196, October.
    5. Rosa Aísa & Jesús Clemente & Fernando Pueyo, 2014. "The influence of (public) health expenditure on longevity," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(5), pages 867-875, October.
    6. Maya Papineau & Kareman Yassin & Guy Newsham & Sarah Brice, 2020. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Carleton Economic Papers 20-21, Carleton University, Department of Economics.
    7. Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Statistics Norway, Research Department.
    8. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
    9. Shigeru Matsumoto, 2015. "Electric Appliance Ownership and Usage: Application of Conditional Demand Analysis to Japanese Household Data," Working Papers e098, Tokyo Center for Economic Research.
    10. Teresa Garín-Muñoz & Teodosio Pérez-Amaral & Rafael López, 2020. "Consumer engagement in e-Tourism: Micro-panel data models for the case of Spain," Tourism Economics, , vol. 26(6), pages 853-872, September.
    11. Dimitrios PAPARAS & Christian RICHTER & Alexandros PAPARAS, 2015. "Fiscal Policy and Economic Growth, Empirical Evidence in European Union," Turkish Economic Review, KSP Journals, vol. 2(4), pages 239-268, December.
    12. Hannah Goozee, 2017. "Energy, poverty and development: a primer for the Sustainable Development Goals," Working Papers 156, International Policy Centre for Inclusive Growth.
    13. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    14. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "The changing of the relationships between carbon footprints and final demand: Panel data evidence for 40 major countries," Energy Economics, Elsevier, vol. 61(C), pages 8-20.
    15. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    16. Ioannis Tsamourgelis & Persa Paflioti & Thomas Vitsounis, 2013. "Seaports Activity (A)synchronicity, Trade Intensity and Business Cycle Convergence: A Panel Data Analysis," International Journal of Maritime, Trade & Economic Issues (IJMTEI), International Journal of Maritime, Trade & Economic Issues (IJMTEI), vol. 0(1), pages 67-92.
    17. Hanne Marit Dalen and Bodil M. Larsen, 2015. "Residential End-use Electricity Demand: Development over Time," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    18. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
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    20. Jeong-Yeon Lee & Daniel G. Bachrach & Kyle Lewis, 2014. "Social Network Ties, Transactive Memory, and Performance in Groups," Organization Science, INFORMS, vol. 25(3), pages 951-967, June.
    21. Aydinalp-Koksal, Merih & Ugursal, V. Ismet, 2008. "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector," Applied Energy, Elsevier, vol. 85(4), pages 271-296, April.
    22. N.M. Odhiambo, 2021. "Is Export-Led Growth Hypothesis Still Valid for Sub-Saharan African Countries? New Evidence from Panel Data Analysis," Working Papers AESRI-2021-02, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    23. Aydinalp, Merih & Ismet Ugursal, V. & Fung, Alan S., 2002. "Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks," Applied Energy, Elsevier, vol. 71(2), pages 87-110, February.
    24. Yu, Dongwei & Tan, Hongwei & Ruan, Yingjun, 2012. "An improved two-step floating catchment area method for supporting district building energy planning: A case study of Yongding County city, China," Applied Energy, Elsevier, vol. 95(C), pages 156-163.
    25. Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Statistics Norway, Research Department.
    26. Hannah Goozee, 2017. "Energy, Poverty and Development: A Primer for the Sustainable Development Goals," Working Papers id:11933, eSocialSciences.
    27. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    28. Wang, Jiao & Ji, Andy G., 2006. "Exchange rate sensitivity of China's bilateral trade flows," BOFIT Discussion Papers 19/2006, Bank of Finland Institute for Emerging Economies (BOFIT).
    29. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    30. Minyoung Jo & Sangyeol Lee, 2021. "On CUSUM test for dynamic panel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 515-542, June.
    31. Dimitrios Paparas & Christian Richter, 2015. "Fiscal policy and economic growth: Empirical evidence from the European Union," Working Papers 2015.06, International Network for Economic Research - INFER.
    32. Wadud, Mokhtarul & Ali Ahmed, Huson Joher & Tang, Xueli, 2020. "Factors affecting delinquency of household credit in the U.S.: Does consumer sentiment play a role?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    33. T.G. Saji, 2018. "Financial Distress and Stock Market Failures: Lessons from Indian Realty Sector," Vision, , vol. 22(1), pages 50-60, March.
    34. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    35. Matsumoto, Shigeru, 2016. "How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data," Energy Policy, Elsevier, vol. 94(C), pages 214-223.
    36. Mattias Vesterberg & Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, , vol. 37(4), pages 141-164, October.
    37. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "Residential energy environmental Kuznets curve in the EU-28," Energy, Elsevier, vol. 125(C), pages 44-54.
    38. Sefa Awaworyi Churchill & Bin Peng & Russell Smyth & Quanda Zhang, 2022. "R&D intensity and income inequality in the G7: 1870–2016," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 263-282, July.
    39. Tuan-Hock Ng & Chun-Teck Lye & Kar-Hoong Chan & Ying-Zhee Lim & Ying-San Lim, 2020. "Sustainability in Asia: The Roles of Financial Development in Environmental, Social and Governance (ESG) Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 17-44, July.
    40. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.

  28. Hsiao, C. & Mountain, D.C., 1993. "A Framework for Regional Modeling and Impact Analysis - An Analysis of the Demand for Electricity by Large Municipalities in Ontario, Canada," Papers 9317, Southern California - Department of Economics.

    Cited by:

    1. Fischer, E.W., 1993. "Light scattering and dielectric studies on glass forming liquids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 201(1), pages 183-206.
    2. Philip Arestis & Ana Rosa González & Oscar Dejuan, 2012. "Investment, Financial Markets, and Uncertainty," Economics Working Paper Archive wp_743, Levy Economics Institute.

  29. Arguea, N.M. & Hsiao, C. & Taylor, G.A., 1993. "Estimating Consumer Preferences Using Market Data - An Application to U.S. Automobile Demand," Papers 9316, Southern California - Department of Economics.

    Cited by:

    1. Ufuk Demiroglu & Caglar Yunculer, 2016. "Estimating Light-Vehicle Sales in Turkey," Working Papers 1627, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    2. Jonathan Murray & Nicholas Sarantis, 1999. "Price-Quality Relations and Hedonic Price Indexes for Cars in the United Kingdom," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 6(1), pages 5-27.
    3. Hugo Reis & J.M.C.Santos Silva, 2002. "Hedonic Prices Indexes for New Passenger Cars in Portugal (1997-2001)," Working Papers w200210, Banco de Portugal, Economics and Research Department.
    4. Christos Ioannidis & Mick Silver, 1999. "Estimating exact hedonic indexes: An application to UK television sets," Journal of Economics, Springer, vol. 69(1), pages 71-94, February.
    5. Silver, Mick, 1999. "Disparities in the prices of new and old models when they coexist in the market: some econometric estimates," Omega, Elsevier, vol. 27(1), pages 13-24, February.
    6. Ebru Caglayan Akay & mer Faruk Bolukbasi & Engin Bekar, 2018. "Robust and Resistant Estimations of Hedonic Prices for Second Hand Cars: an Application to the Istanbul Car Market," International Journal of Economics and Financial Issues, Econjournals, vol. 8(1), pages 39-47.
    7. Vlad Radoias, 2014. "The myth of the domestic brand bias for automobiles in the european union," Economics Bulletin, AccessEcon, vol. 34(4), pages 2115-2127.
    8. Prieto, Marc & Caemmerer, Barbara & Baltas, George, 2015. "Using a hedonic price model to test prospect theory assertions: The asymmetrical and nonlinear effect of reliability on used car prices," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 206-212.
    9. Chen, Yubo & Fay, Scott & Wang, Qi, 2011. "The Role of Marketing in Social Media: How Online Consumer Reviews Evolve," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 85-94.
    10. Chen, Anning, 2011. "Reliable GPS Integer Ambiguity Resolution," University of California Transportation Center, Working Papers qt9gs0t2f9, University of California Transportation Center.
    11. Dimitrios Giannias, 1999. "Market Positioning of Differentiated Products," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 6(1), pages 29-39.
    12. Martin, Elliott William, 2009. "New Vehicle Choice, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and the Gasoline Tax," University of California Transportation Center, Working Papers qt5gd206wv, University of California Transportation Center.
    13. Christos Ioannidis & Mick Silver, 2003. "Chained, exact and superlative hedonic price changes: estimates from microdata," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1005-1014.
    14. G Baltas & C Saridakis, 2010. "Measuring brand equity in the car market: a hedonic price analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 284-293, February.
    15. Martin, Elliot William, 2009. "New Vehicle Choices, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and Gasoline Tax," University of California Transportation Center, Working Papers qt6sz198c2, University of California Transportation Center.
    16. Silver, Mick, 2000. "Hedonic regressions: an application to VCRs using scanner data," Omega, Elsevier, vol. 28(4), pages 399-408, August.
    17. Silver, Mick & Heravi, Saeed, 2005. "A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 269-281, July.
    18. Shigeru Matsumoto, 2018. "Consumer valuation of energy-saving features of residential air conditioners with hedonic and choice models," Empirical Economics, Springer, vol. 55(4), pages 1779-1806, December.
    19. Mick Silver & Saeed Heravi, 2003. "The Measurement of Quality-Adjusted Price Changes," NBER Chapters, in: Scanner Data and Price Indexes, pages 277-316, National Bureau of Economic Research, Inc.
    20. MATSUMOTO Shigeru & OMATA Yukiko, 2015. "Consumer Valuations of Energy Efficiency Investments: The case of Vietnam's air conditioner market," Discussion papers 15063, Research Institute of Economy, Trade and Industry (RIETI).
    21. Cumhur Erdem & Saban Nazlioglu, 2013. "Determinants of new vehicle registrations in EU countries: a panel cointegration analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(3), pages 287-298, April.
    22. Arguea, Nestor M. & Hsiao, Cheng, 2000. "Market Values of Environmental Amenities: A Latent Variable Approach," Journal of Housing Economics, Elsevier, vol. 9(1-2), pages 104-126, March.
    23. Mark Dickie & Charles Delorme & Jeffrey Humphreys, 1997. "Hedonic prices, goods-specific effects and functional form: inferences from cross-section time series data," Applied Economics, Taylor & Francis Journals, vol. 29(2), pages 239-249.

  30. Arguea, N.M. & Hsiao, C., 1992. "Econometric Issues of Estimating Hedonic Price Functions- with an Application to the U.S. Market for Automobiles," Papers 9203, Southern California - Department of Economics.

    Cited by:

    1. Herrmann, Roland & Roeder, Claudia, 1998. "Some neglected issues in food demand analysis: retail-level demand, health information and product quality," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-27.
    2. Schamel, Guenter, 2003. "A Hedonic Pricing Model for German Wine," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(05), pages 1-8.
    3. Hugo Reis & J.M.C.Santos Silva, 2002. "Hedonic Prices Indexes for New Passenger Cars in Portugal (1997-2001)," Working Papers w200210, Banco de Portugal, Economics and Research Department.
    4. Cicia, Gianni & Caracciolo, Francesco & Del Giudice, Teresa & Sannino, G. & Verneau, Fabio, 2013. "The Role of Sensory Profile in the Extra-Virgin Olive Oil Consumers Choice," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164738, International European Forum on System Dynamics and Innovation in Food Networks.
    5. Hoffmann, Johannes, 1998. "Probleme der Inflationsmessung in Deutschland," Discussion Paper Series 1: Economic Studies 1998,01, Deutsche Bundesbank.
    6. Ibon Galarraga & Ana Ramos & Josu Lucas, 2012. "The Price of Energy Efficiency in the Spanish Car Market," Working Papers 02-2013, Economics for Energy.
    7. Pendleton, Linwood, 1999. "Reconsidering the hedonic vs. RUM debate in the valuation of recreational environmental amenities," Resource and Energy Economics, Elsevier, vol. 21(2), pages 167-189, May.
    8. Schamel, Guenter, 2002. "California Wine Winners: A Hedonic Analysis Of Regional And Winery Reputation Indicators," 2002 Annual meeting, July 28-31, Long Beach, CA 19864, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Vlad Radoias, 2014. "The myth of the domestic brand bias for automobiles in the european union," Economics Bulletin, AccessEcon, vol. 34(4), pages 2115-2127.
    10. Danielle Wood & Kym Anderson, 2019. "What Determines the Future Value of an Icon Wine? New Evidence from Australia," World Scientific Book Chapters, in: Kym Anderson (ed.), The International Economics of Wine, chapter 11, pages 255-282, World Scientific Publishing Co. Pte. Ltd..
    11. Clapp, John M. & Salavei, Katsiaryna, 2010. "Hedonic pricing with redevelopment options: A new approach to estimating depreciation effects," Journal of Urban Economics, Elsevier, vol. 67(3), pages 362-377, May.
    12. Giuliano Rolle, 2022. "Between and within vehicle models hedonic analyses of environmental attributes: the case of the Italian used-car market," SEEDS Working Papers 0822, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2022.
    13. Richards, Timothy J. & Patterson, Paul M. & Hamilton, Stephen F., 2007. "Fast Food, Addiction, and Market Power," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(3), pages 1-23, December.
    14. David Prentice & Xiangkang Yin, 2000. "Measuring Quality-Adjusted Inflation Rates for a Heterogeneous Oligopoly," Working Papers 2000.06, School of Economics, La Trobe University.
    15. Badi H. Baltagi & Georges Bresson & Jean-Michae Etienne, 2013. "Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo-Panel Model with Nested Random Effects," Center for Policy Research Working Papers 163, Center for Policy Research, Maxwell School, Syracuse University.
    16. Deltas, George & Zacharias, Eleftherios, 2006. "Entry order and pricing over the product cycle: The transition from the 486 to the Pentium processor," International Journal of Industrial Organization, Elsevier, vol. 24(5), pages 1041-1069, September.
    17. Landon, Stuart & Smith, Constance, 1997. "The Use of Quality and Reputation Indicators by Consumers: The Case of Bordeaux Wine," MPRA Paper 9283, University Library of Munich, Germany.
    18. Hoffmann, Johannes, 1998. "Problems of inflation measurement in Germany," Discussion Paper Series 1: Economic Studies 1998,01e, Deutsche Bundesbank.
    19. Schamel, Guenter & Anderson, Kym, 2001. "Wine Quality and Regional Reputation: Hedonic Prices for Australia and New Zealand," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125877, Australian Agricultural and Resource Economics Society.
    20. Schamel, Guenter, 2003. "International Wine Trade: Analyzing The Value Of Reputation And Quality Signals," 2003 Annual meeting, July 27-30, Montreal, Canada 22157, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Baltagi, Badi H. & Bresson, Georges, 2010. "Maximum Likelihood Estimation and Lagrange Multiplier Tests for Panel Seemingly Unrelated Regressions with Spatial Lag and Spatial Errors: An Application to Hedonic Housing Prices in Paris," IZA Discussion Papers 5227, Institute of Labor Economics (IZA).
    22. Alberini, Anna & Di Cosmo, Valeria & Bigano, Andrea, 2019. "How are fuel efficient cars priced? Evidence from eight EU countries," Energy Policy, Elsevier, vol. 134(C).
    23. Ramírez Muñoz de Toro, Gonzalo R. & Uriarte, Juan I. & Delbianco, Fernando & Larrosa, Juan M.C., 2017. "Un modelo hedónico de precios en línea de automóviles usados en Argentina || A Hedonic Model of Online Prices of Used Cars in Argentina," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 25-53, Diciembre.
    24. Molly Espey & Santosh Nair, 2005. "Automobile Fuel Economy: What Is It Worth?," Contemporary Economic Policy, Western Economic Association International, vol. 23(3), pages 317-323, July.
    25. Koen Pauwels & Richard D’Aveni, 2016. "The formation, evolution and replacement of price–quality relationships," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 46-65, January.
    26. Anna Alberini & Markus Bareit & Massimo Filippini, 2016. "What is the Effect of Fuel Efficiency Information on Car Prices? Evidence from Switzerland," The Energy Journal, , vol. 37(3), pages 315-342, July.
    27. Sanja Lutzeyer, 2008. "Estimating Hedonic Prices for Stellenbosch wine," Working Papers 15/2008, Stellenbosch University, Department of Economics.
    28. San Martin, Guillermo S. & Brümmer, Bernhard & Troncoso, Javier L., 2008. "Determinants Of Argentinean Wine Prices In The U.S. Market," Working Papers 37327, American Association of Wine Economists.
    29. Bonnetain, Philippe, 2003. "A hedonic price model for islands," Journal of Urban Economics, Elsevier, vol. 54(2), pages 368-377, September.
    30. John R. Knight & C. F. Sirmans & Geoffrey K. Turnbull, 1998. "List Price Information in Residential Appraisal and Underwriting," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 59-76.
    31. Anna Alberini & Markus Bareit & Massimo Filippini, 2014. "Does the Swiss Car Market Reward Fuel Efficient Cars? Evidence from Hedonic Pricing Regressions, a Regression Discontinuity Design, and Matching," Working Papers 2014.16, Fondazione Eni Enrico Mattei.
    32. Randall S. Guttery & C. F. Sirmans, 1998. "Aggregation Bias in Price Indices for Multi-Family Rental Properties," Journal of Real Estate Research, American Real Estate Society, vol. 15(3), pages 309-326.
    33. Arguea, Nestor M. & Hsiao, Cheng, 2000. "Market Values of Environmental Amenities: A Latent Variable Approach," Journal of Housing Economics, Elsevier, vol. 9(1-2), pages 104-126, March.
    34. Federico Perali & Furio Rosati & Martina Menon, 2004. "Estimation of the Contribution of Child Labour to the Formation of Rural Incomes: An Application to Nepal," CHILD Working Papers wp10_05, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    35. Anna Alberini & Massimo Filippini & Markus Bareit, 2014. "Does the Swiss Car Market Reward Fuel Efficient Cars? Evidence from Hedonic Pricing Regressions, Matching and a Regression Discontinuity Design," CER-ETH Economics working paper series 14/190, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    36. Linwood Pendleton & Robert Mendelsohn, 2000. "Estimating Recreation Preferences Using Hedonic Travel Cost and Random Utility Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 17(1), pages 89-108, September.

  31. Hsiao, C., 1992. "Random Coefficients Models," Papers 9212, Southern California - Department of Economics.

    Cited by:

    1. Smith, Lisa C. & Haddad, Lawrence James, 2000. "Explaining child malnutrition in developing countries: a cross-country analysis," Research reports 111, International Food Policy Research Institute (IFPRI).
    2. Jonathan McCarthy & Egon Zakrajšek, 2000. "Microeconomic inventory adjustment: evidence from U.S. firm-level data," Staff Reports 101, Federal Reserve Bank of New York.
    3. A. Bénassy-Quéré & S. Larribeau & R. MacDonald, 1999. "Models of exchange rate expectations : heterogeneous evidence from Panel data," THEMA Working Papers 99-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    4. Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
    5. Martin Falk & Rahel Falk, 2000. "Pricing to Market of German Exporters: Evidence from Panel Data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(1), pages 21-46, March.
    6. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    7. Sophie Larribeau & Agnès Bénassy-Quéré & R. Macdonald, 2003. "Models of exchange rate expectations : how much heterogeneity ?," Post-Print halshs-00069655, HAL.
    8. Baleiras, Rui Nuno & da Silva Costa, Jose, 2004. "To be or not to be in office again: an empirical test of a local political business cycle rationale," European Journal of Political Economy, Elsevier, vol. 20(3), pages 655-671, September.
    9. Robert E. Krider & Priya Raghubir & Aradhna Krishna, 2001. "Pizzas: p or Square? Psychophysical Biases in Area Comparisons," Marketing Science, INFORMS, vol. 20(4), pages 405-425, March.

  32. Hsiao, C., 1992. "Logit and Probit Models," Papers 9210, Southern California - Department of Economics.

    Cited by:

    1. Breitung, Jörg & Lechner, Michael, 1998. "Alternative GMM methods for nonlinear panel data models," SFB 373 Discussion Papers 1998,81, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    2. Inkmann, Joachim, 2000. "Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators," Journal of Econometrics, Elsevier, vol. 97(2), pages 227-259, August.
    3. Alban Thomas, 2002. "Consistent estimation of discrete-choice models for panel data with multiplicative effects," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D6-2, International Conferences on Panel Data.
    4. POWO FOSSO, Bruno, 2000. "Les déterminants des faillites bancaires dans les pays en développement: le cas des pays de l'Union économique et monétaire Ouest-africaine (UEMOA)," Cahiers de recherche 2000-02, Universite de Montreal, Departement de sciences economiques.
    5. Kjetil Telle, 2004. "Effects of inspections on plants' regulatory and environmental performance - evidence from Norwegian manufacturing industries," Discussion Papers 381, Statistics Norway, Research Department.
    6. König, Heinz & Lechner, Michael, 1994. "Some recent developments in microeconometrics: A survey," ZEW Discussion Papers 94-12, ZEW - Leibniz Centre for European Economic Research.
    7. Kjetil Telle, 2009. "The threat of regulatory environmental inspection: impact on plant performance," Journal of Regulatory Economics, Springer, vol. 35(2), pages 154-178, April.
    8. M. Dahchour & G. Dionne, 2002. "Pricing of Automobile Insurance Under Asymmetric Information : a Study on Panel Data," THEMA Working Papers 2002-12, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. R. Hujer & K.-O. Maurer & M. Wellner, 1997. "Estimating the Effect of Training on Unemployment Duration in West Germany - A Discrete Hazard-Rate Model with Instrumental Variables," Econometrics 9704001, University Library of Munich, Germany.
    10. Didier Balsan & Saïd Hanchane & Patrick Werquin, 1996. "Mobilité professionnelle initiale : éducation et expérience sur le marché du travail," Économie et Statistique, Programme National Persée, vol. 299(1), pages 91-106.
    11. Bergstrom, John C. & Holmes, Thomas P. & Huszar, Eric & Kask, Susan B. & Volinskiy, Dmitriy, 2003. "Use Of Chamberlain Fixed Effects Approach To Estimate Willingness-To-Pay For Little Tennessee River Basin Management Alternatives," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35195, Southern Agricultural Economics Association.
    12. Kari Hämäläinen & Aki Kangasharju & Sari Pekkala & Matti Sarvimäki, 2005. "Employment Assimilation of Immigrants - Evidence from Finland," ERSA conference papers ersa05p75, European Regional Science Association.

  33. Hsiao, C., 1992. "Nonlinear Latent Variable Models," Papers 9211, Southern California - Department of Economics.

    Cited by:

    1. Shigeru Iwata, 2001. "Recentered And Rescaled Instrumental Variable Estimation Of Tobit And Probit Models With Errors In Variables," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 319-335.
    2. Wang, Liqun & Hsiao, Cheng, 2011. "Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 165(1), pages 30-44.
    3. Li, Tong & Hsiao, Cheng, 2004. "Robust estimation of generalized linear models with measurement errors," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 51-65.
    4. Erik Meijer & Tom Wansbeek, 1999. "Quadratic prediction of factor scores," Psychometrika, Springer;The Psychometric Society, vol. 64(4), pages 495-507, December.
    5. Li, Tong, 2002. "Robust and consistent estimation of nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 110(1), pages 1-26, September.
    6. Li, Tong, 2000. "Estimation of nonlinear errors-in-variables models: a simulated minimum distance estimator," Statistics & Probability Letters, Elsevier, vol. 47(3), pages 243-248, April.

  34. Hsiao, C. & Appelbe, T.W. & Dineen, C.R., 1992. "A General Framework for Panel Data Models with an Application to Canadian Customer-Dialed Long Distance Telephone Service," Papers 90-92-15, California Irvine - School of Social Sciences.

    Cited by:

    1. Maira Caño- Guiral, 1995. "Competitividad y eficiencia técnica. Un modelo de datos panel para la industria láctea uruguaya," Documentos de Trabajo (working papers) 0795, Department of Economics - dECON.
    2. Molina, Isabel, 2009. "Uncertainty under a multivariate nested-error regression model with logarithmic transformation," Journal of Multivariate Analysis, Elsevier, vol. 100(5), pages 963-980, May.
    3. Bresson G. & Hsiao C. & Pirotte A., 2007. "Assessing the Contribution of R&D to Total Factor Productivity – a Bayesian Approach to Account for Heterogeneity And Heteroscedasticity," Working Papers ERMES 0708, ERMES, University Paris 2.
    4. Irza Hanie Abu Samah & Intan Maizura Abd Rashid & Wan Ahmad Fauzi Wan Husain & Suraiya Ibrahim & Hariri Hamzah & Mohammad Harith Amlus, 2020. "The Impact of Healthcare Expenditure and Healthcare Sector Growth on CO2 Emission using Dynamic Panel Data System GMM Estimation Model during COVID 19 Crisis," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 235-241.
    5. Dimitrios PAPARAS & Christian RICHTER & Alexandros PAPARAS, 2015. "Fiscal Policy and Economic Growth, Empirical Evidence in European Union," Turkish Economic Review, KSP Journals, vol. 2(4), pages 239-268, December.
    6. Hielke Buddelmeyer & Kenneth Troske, 2004. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Econometric Society 2004 North American Winter Meetings 334, Econometric Society.
    7. Garin-Munoz, Teresa & Perez-Amaral, Teodosio, 1998. "Econometric modelling of Spanish very long distance international calling," Information Economics and Policy, Elsevier, vol. 10(2), pages 237-252, June.
    8. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    9. Cheng Hsiao & Qi Li & Zhongwen Liang & Wei Xie, 2019. "Panel Data Estimation for Correlated Random Coefficients Models," Econometrics, MDPI, vol. 7(1), pages 1-18, February.
    10. Konstantinos Chatzimichael & Pantelis Kalaitzidakis & Vangelis Tzouvelekas, 2013. "Tax Evasion, Tax Monitoring Expenses and Economic Growth: An Empirical Analysis in OECD Countries," Working Papers 1308, University of Crete, Department of Economics.
    11. Heerde, Harald J. van & Leeflang, Peter S.H. & Wittink, Dick R., 1999. "The estimation of pre- and postpromotion dips with store-level scanner data," Research Report 99B36, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    12. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    13. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    14. N.M. Odhiambo, 2021. "Is Export-Led Growth Hypothesis Still Valid for Sub-Saharan African Countries? New Evidence from Panel Data Analysis," Working Papers AESRI-2021-02, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    15. Eduardo Correia & Rodrigo Calili & José Francisco Pessanha & Maria Fatima Almeida, 2023. "Definition of Regulatory Targets for Electricity Non-Technical Losses: Proposition of an Automatic Model-Selection Technique for Panel Data Regressions," Energies, MDPI, vol. 16(6), pages 1-22, March.
    16. Richard Grabowski and Sharmistha Self, 2019. "Structural Change and the Intersectoral Terms of Trade: Southeast Asian Experience," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(2), pages 29-47, June.
    17. Madden, Gary G & Savage, Scott J, 2000. "Market structure, competition, and pricing in United States international telephone service markets," MPRA Paper 11161, University Library of Munich, Germany.
    18. Dimitrios Paparas & Christian Richter, 2015. "Fiscal policy and economic growth: Empirical evidence from the European Union," Working Papers 2015.06, International Network for Economic Research - INFER.

  35. Hsiao, C., 1989. "Identification And Estimation Of Dichotomous Latent Variables Models Using Panel Data," Papers 8944, Tilburg - Center for Economic Research.

    Cited by:

    1. Ginger Jin & Andrew Kato & John List, 2006. "That's news to me! information revelation in professional certification markets," Framed Field Experiments 00162, The Field Experiments Website.
    2. Chen, Xiaohong & Hu, Yingyao & Lewbel, Arthur, 2008. "Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments," Economics Letters, Elsevier, vol. 100(3), pages 381-384, September.
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    4. Shigeru Iwata, 2001. "Recentered And Rescaled Instrumental Variable Estimation Of Tobit And Probit Models With Errors In Variables," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 319-335.
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    1. Tai-Hsin Huang & Zixiong Xie, 2013. "Population and economic growth: a simultaneous equation perspective," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3820-3826, September.
    2. Michael Feil, 2012. "Taxation and unemployment: (systematic) evidence from panel data analysis," EcoMod2012 4472, EcoMod.
    3. Erkan Erdil & I. Hakan Yetkiner, 2009. "The Granger-causality between health care expenditure and output: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 511-518.
    4. Gülsüm Akarsu, 2017. "Analyzing the impact of oil price volatility on electricity demand: the case of Turkey," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(3), pages 371-388, December.
    5. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    6. Edward M Feasel & Nobuyuki Kanazawa, 2013. "Sentiment toward Trading Partners and International Trade," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(3), pages 309-327.
    7. Nicholas M. Odhiambo, 2021. "Is export-led growth hypothesis still valid for sub-Saharan African countries? New evidence from panel data analysis," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 31(1), pages 77-93, April.
    8. Konstantinos Chatzimichael & Pantelis Kalaitzidakis & Vangelis Tzouvelekas, 2013. "Tax Evasion, Tax Monitoring Expenses and Economic Growth: An Empirical Analysis in OECD Countries," Working Papers 1308, University of Crete, Department of Economics.
    9. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    10. Odhiambo, Nicholas M, 2021. "A test of exports-led growth hypothesis in Sub-Saharan African countries: Evidence from panel data analysis," Working Papers 27170, University of South Africa, Department of Economics.
    11. Kemal, A.R. & Qayyum, Abdul & Hanif, Muhammad N., 2004. "Financial Development and Economic Growth: Evidence from a Heterogeneous Panel of High Income Countries," MPRA Paper 10198, University Library of Munich, Germany.
    12. Atakhanova, Zauresh & Howie, Peter, 2007. "Electricity demand in Kazakhstan," Energy Policy, Elsevier, vol. 35(7), pages 3729-3743, July.
    13. Judith A. Clarke & Nilanjana Roy & Weichun Chen, 2012. "Health and Wealth: Short Panel Granger Causality Tests for Developing Countries," Econometrics Working Papers 1204, Department of Economics, University of Victoria.
    14. Richard K. Moussa & Eric Delattre, 2023. "Dynamics of interactions between health and employment statuses: a panel data approach," SN Business & Economics, Springer, vol. 3(8), pages 1-26, August.
    15. M E Haque & D H Kim, 2003. "Public Investment in Transportation and Communication and Growth:A Dynamic Panel Approach," Centre for Growth and Business Cycle Research Discussion Paper Series 31, Economics, The University of Manchester.
    16. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    17. N.M. Odhiambo, 2021. "Is Export-Led Growth Hypothesis Still Valid for Sub-Saharan African Countries? New Evidence from Panel Data Analysis," Working Papers AESRI-2021-02, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    18. Aleksandra Kordalska & Magdalena Olczyk, 2016. "Global Competitiveness And Economic Growth: A One-Way Or Two-Way Relationship?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 121-142, March.
    19. Qayyum, Abdul & Siddiqui, Rehana & Hanif, Muhammad Nadim, 2004. "Financial Development and Economic Growth: Evidence from Heterogeneous Panel Data of Low Income Countries," MPRA Paper 23431, University Library of Munich, Germany.
    20. Unal Tongur & Adem Yavuz Elveren, 2013. "Deunionization and Pay Inequality in OECD Countries: A Panel Granger Causality Approach," ERC Working Papers 1306, ERC - Economic Research Center, Middle East Technical University, revised May 2013.
    21. Abdur R. Chowdhury, 2010. "External Debt and Growth in Developing Countries: A Sensitivity and Causal Analysis," Working Papers id:3151, eSocialSciences.
    22. Arshat Hayat, 2017. "Foreign Direct Investments, Institutional Framework and Economic Growth," Working Papers IES 2017/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2017.
    23. Richard Grabowski and Sharmistha Self, 2019. "Structural Change and the Intersectoral Terms of Trade: Southeast Asian Experience," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(2), pages 29-47, June.
    24. Uslu, Çağrı Levent & Aydoğan, Ebru Tomris & Ketenci, Natalya, 2015. "Economic Growth, Financial Development, and Trade Openness in Emerging Markets: Panel Approach," MPRA Paper 64722, University Library of Munich, Germany.
    25. Diana Weinhold, 1996. "Tests de causalité sur données de panel : une application à l'étude de la causalité entre l'investissement et la croissance," Économie et Prévision, Programme National Persée, vol. 126(5), pages 163-175.
    26. Mohamad Ahmad Abou Hamia, 2024. "The integration of developing countries into world technology markets: cause or effect of total factor productivity?," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 879-902, February.
    27. Shumway, C. Richard & Liu, Yucan, 2006. "Induced Innovation in the Agricultural Sector: Evidence From a State Panel," 2006 Annual meeting, July 23-26, Long Beach, CA 21089, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    28. Erkan Erdil & I. Hakan Yetkiner, 2004. "A Panel Data Approach for Income-Health Causality," Working Papers FNU-47, Research unit Sustainability and Global Change, Hamburg University, revised Apr 2004.
    29. Diana Weinhold, 2004. "A Dynamic “Fixed Effects” Model for Heterogeneous Panel Data," Econometrics 0410003, University Library of Munich, Germany.
    30. A�a�Yrı Levent Uslu & Ebru Tomris Aydo�Yan & Natalya Ketenci, 2016. "Impact Of Structural Breaks Presence On Economic Development Of Emerging Countries," Journal Articles, Center For Economic Analyses, pages 5-21, December.
    31. João A. S. ANDRADE & Adelaide P. S. DUARTE & Marta C. N. SIMÕES, 2018. "Education and health: welfare state composition and growth across country groups," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 111-144, December.

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    Cited by:

    1. Shengkun Xie, 2021. "Improving Explainability of Major Risk Factors in Artificial Neural Networks for Auto Insurance Rate Regulation," Risks, MDPI, vol. 9(7), pages 1-21, July.
    2. Otter, Pieter W. & Scheer, Hiek van der & Wansbeek, Tom, 2006. "Optimal selection of households for direct marketing by joint modeling of the probability and quantity of response," CCSO Working Papers 200606, University of Groningen, CCSO Centre for Economic Research.
    3. Christian Gouriéroux & Alain Monfort & Eric Renault, 2017. "Consistent Pseudo-Maximum Likelihood Estimators," Annals of Economics and Statistics, GENES, issue 125-126, pages 187-218.

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    Cited by:

    1. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2013. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Tinbergen Institute Discussion Papers 13-036/III, Tinbergen Institute.
    2. Moschini, GianCarlo, 2001. "Production risk and the estimation of ex-ante cost functions," Journal of Econometrics, Elsevier, vol. 100(2), pages 357-380, February.
    3. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    4. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A. J. Pownall, 2023. "Empirical evidence of anchoring and loss aversion from art auctions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 279-301, June.
    5. Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
    6. Yingyao Hu & Geert Ridder, 2005. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," IEPR Working Papers 05.39, Institute of Economic Policy Research (IEPR).
    7. Shigeru Iwata, 2001. "Recentered And Rescaled Instrumental Variable Estimation Of Tobit And Probit Models With Errors In Variables," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 319-335.
    8. Ziliak, J. & Kniesner, T.J., 1995. "Estimating life-cycle labor supply tax effects," Other publications TiSEM 1b4b66ee-5312-4f01-8fe4-8, Tilburg University, School of Economics and Management.
    9. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.
    10. Li, Tong & Hsiao, Cheng, 2004. "Robust estimation of generalized linear models with measurement errors," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 51-65.
    11. Hong, Han & Tamer, Elie, 2003. "A simple estimator for nonlinear error in variable models," Journal of Econometrics, Elsevier, vol. 117(1), pages 1-19, November.
    12. Takahide Yanagi, 2018. "Inference on Local Average Treatment Effects for Misclassified Treatment," Papers 1804.03349, arXiv.org.
    13. Graddy, Kathryn & Pownall, Rachel A J & Loewenstein, Lara & Mei, Jianping & Moses, Mike, 2014. "Anchoring or Loss Aversion? Empirical Evidence from Art Auctions," CEPR Discussion Papers 10048, C.E.P.R. Discussion Papers.
    14. Stern, Steven, 1994. "Two Dynamic Discrete Choice Estimation Problems and Simulation Method Solutions," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 695-702, November.
    15. Stefano Iezzi, 2008. "Investors' risk attitude and risky behavior: a Bayesian approach with imperfect information," Temi di discussione (Economic working papers) 692, Bank of Italy, Economic Research and International Relations Area.
    16. Xiaohong Chen & Yingyao Hu, 2006. "Identification and Inference of Nonlinear Models Using Two Samples with Arbitrary Measurement Errors," Cowles Foundation Discussion Papers 1590, Cowles Foundation for Research in Economics, Yale University.
    17. Ahmed Rufai Mohammad & Mohamad Helmi Bin Hidthiir & Alias Mat Nor, 2018. "The Impact of Reserves Debt Ratio on Profitability of Commercial Banks: Lesson from Nigeria," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 8(2), pages 1419-1419.
    18. Li, Tong, 2002. "Robust and consistent estimation of nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 110(1), pages 1-26, September.
    19. Li, Tong, 2000. "Estimation of nonlinear errors-in-variables models: a simulated minimum distance estimator," Statistics & Probability Letters, Elsevier, vol. 47(3), pages 243-248, April.
    20. Wing-Keung Wong & Guorui Bian, 2005. "Robust Estimation of Multiple Regression Model with Non-normal Error: Symmetric Distribution," Monash Economics Working Papers 09/05, Monash University, Department of Economics.
    21. Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.

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    Cited by:

    1. Bacon, Robert, 1992. "Measuring the possibilities of interfuel substitution," Policy Research Working Paper Series 1031, The World Bank.
    2. Stern, David I., 2009. "Interfuel Substitution: A Meta-Analysis," MPRA Paper 13734, University Library of Munich, Germany.
    3. Brown, Bryan W. & Walker, Mary Beth, 1995. "Stochastic specification in random production models of cost-minimizing firms," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 175-205.
    4. Banda, Benjamin M. & Hassan, Rashid M., 2011. "Inter-fuel substitution and dynamic adjustment in input demand: Implications for deforestation and carbon emission in Malawi," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(1), pages 1-16, March.

  40. Cheng Hsiao, 1977. "Money And Income, Causality Detection," NBER Working Papers 0167, National Bureau of Economic Research, Inc.

    Cited by:

    1. Robert T. Michael, 1978. "Causation Among Socioeconomic Time-Series," NBER Working Papers 0246, National Bureau of Economic Research, Inc.
    2. Tadashi Yamada, 1983. "Causality and Innovations Between Fertility and Infant Mortality," NBER Working Papers 1093, National Bureau of Economic Research, Inc.

Articles

  1. Xiao Ke & Cheng Hsiao, 2022. "Economic impact of the most drastic lockdown during COVID‐19 pandemic—The experience of Hubei, China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 187-209, January.

    Cited by:

    1. Fu, Hongqiao & Cheng, Terence C. & Zhan, Jiajia & Xu, Duo & Yip, Winnie, 2024. "Dynamic effects of the COVID-19 pandemic on the demand for telemedicine services: Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 531-557.
    2. Deng, Yongheng & Meng, Lina & Zhou, Yinggang, 2022. "The effectiveness and costs of nonpharmaceutical interventions for COVID-19 containment: A border discontinuous difference-in-difference approach," China Economic Review, Elsevier, vol. 75(C).
    3. González, Marta Ramos & Ureña, Antonio Partal & Fernández-Aguado, Pilar Gómez, 2023. "Forecasting for regulatory credit loss derived from the COVID-19 pandemic: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    4. Runping Zhu & Xinxin Yu & Richard Krever, 2024. "The Double Burden: The Digital Exclusion and Identity Crisis of Elderly Patients in Rural China," Media and Communication, Cogitatio Press, vol. 12.
    5. Yahya, Habeeb, 2023. "The role of ESG performance in firms' resilience during the COVID-19 pandemic: Evidence from Nordic firms," Global Finance Journal, Elsevier, vol. 58(C).

  2. Cheng Hsiao & Yimeng Xie & Qiankun Zhou, 2021. "Factor dimension determination for panel interactive effects models: an orthogonal projection approach," Computational Statistics, Springer, vol. 36(2), pages 1481-1497, June.

    Cited by:

    1. Jie Jiang & Qihang Zhang & Yifan Hui, 2023. "The Impact of Market and Non-Market-Based Environmental Policy Instruments on Firms’ Sustainable Technological Innovation: Evidence from Chinese Firms," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    2. Liu, Jingyuan & Sun, Ao & Ke, Yuan, 2024. "A generalized knockoff procedure for FDR control in structural change detection," Journal of Econometrics, Elsevier, vol. 239(2).

  3. Jiang, Bin & Yang, Yanrong & Gao, Jiti & Hsiao, Cheng, 2021. "Recursive estimation in large panel data models: Theory and practice," Journal of Econometrics, Elsevier, vol. 224(2), pages 439-465.
    See citations under working paper version above.
  4. Cindy S.H. Wang & Cheng Hsiao & Hao-Hsiang Yang, 2021. "Market integration, systemic risk and diagnostic tests in large mixed panels," Econometric Reviews, Taylor & Francis Journals, vol. 40(8), pages 750-795, September.

    Cited by:

    1. Wang, Cindy S.H. & Fan, Rui & Xie, Yiqiang, 2023. "Market systemic risk, predictability and macroeconomics news," Finance Research Letters, Elsevier, vol. 56(C).
    2. Marek Vochozka & Svatopluk Janek & Zuzana Rowland, 2023. "Coffee as an Identifier of Inflation in Selected US Agglomerations," Forecasting, MDPI, vol. 5(1), pages 1-17, January.
    3. Wang, Cindy S.H. & Chen, Yi-Chi & Lo, Hsin-Yu, 2021. "A fresh look at the risk-return tradeoff," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).

  5. Cheng Hsiao, 2020. "Estimation of fixed effects dynamic panel data models: linear differencing or conditional expectation," Econometric Reviews, Taylor & Francis Journals, vol. 39(8), pages 858-874, September.

    Cited by:

    1. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.

  6. Cheng Hsiao & Qi Li & Zhongwen Liang & Wei Xie, 2019. "Panel Data Estimation for Correlated Random Coefficients Models," Econometrics, MDPI, vol. 7(1), pages 1-18, February.

    Cited by:

    1. Filip Abraham & Yannick Bormans & Jozef Konings & Werner Roeger, 2020. "Price-cost margins and fixed costs," Working Papers 202010, University of Liverpool, Department of Economics.
    2. Yu Bai & Massimiliano Marcellino & George Kapetanios, 2023. "Mean Group Instrumental Variable Estimation of Time-Varying Large Heterogeneous Panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 13/23, Monash University, Department of Econometrics and Business Statistics.

  7. Kannika Damrongplasit & Cheng Hsiao & Xueyan Zhao, 2019. "Health status and labour market outcome: Empirical evidence from Australia," Pacific Economic Review, Wiley Blackwell, vol. 24(2), pages 269-292, May.

    Cited by:

    1. Deborah A. Cobb‐Clark & Lihini De Silva, 2021. "Participation, Unemployment, and Wages," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 482-493, December.
    2. Mark N. Harris & Xueyan Zhao & Eugenio Zucchelli, 2021. "Ageing Workforces, Ill‐health and Multi‐state Labour Market Transitions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 199-227, February.
    3. Pinna Pintor, Matteo & Fumagalli, Elena & Suhrcke, Marc, 2024. "The impact of health on labour market outcomes: A rapid systematic review," Health Policy, Elsevier, vol. 143(C).
    4. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," ANU Working Papers in Economics and Econometrics 2020-671, Australian National University, College of Business and Economics, School of Economics.
    5. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.

  8. Cheng Hsiao & Qiankun Zhou, 2019. "Panel parametric, semiparametric, and nonparametric construction of counterfactuals," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 463-481, June.

    Cited by:

    1. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    2. Yi‐Ting Chen, 2020. "A distributional synthetic control method for policy evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 505-525, August.
    3. Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
    4. Povilas Lastauskas & Julius Stakenas, 2021. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Bank of Lithuania Working Paper Series 87, Bank of Lithuania.
    5. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    6. Fu, Yifan & Zhong, Shiquan & Ling, Shuai & He, Zhengbing, 2024. "Closing the loophole of vehicle ownership restriction: The impact of non-local vehicle restriction on new vehicle registrations and air pollution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    7. Cheng Hsiao & Yimeng Xie & Qiankun Zhou, 2021. "Factor dimension determination for panel interactive effects models: an orthogonal projection approach," Computational Statistics, Springer, vol. 36(2), pages 1481-1497, June.
    8. Xiaomeng Zhang & Wendun Wang & Xinyu Zhang, 2022. "Asymptotic Properties of the Synthetic Control Method," Papers 2211.12095, arXiv.org.
    9. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    10. Wilmer Martínez-Rivera & Thomaz Carvalhaes & Petar Jevtić & T. Agami Reddy, 2023. "A treatment-effect model to quantify human dimensions of disaster impacts: the case of Hurricane Maria in Puerto Rico," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 2033-2068, March.
    11. Shui Ki Wan & Cheng Hsiao & Qiankun Zhou, 2021. "Can a time-varying structure provide a more robust panel construction of counterfactuals-straitjacket or straitjackets?," Empirical Economics, Springer, vol. 60(1), pages 113-129, January.
    12. Zhentao Shi & Jingyi Huang, 2019. "Forward-Selected Panel Data Approach for Program Evaluation," Papers 1908.05894, arXiv.org, revised Apr 2021.
    13. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.
    14. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    15. Feng Liu & Yu Fu & Weiguo Wang, 2023. "Heterogeneous Effects of China’s Carbon Market on Carbon Emissions—Evidence from a Regression Control Method," Sustainability, MDPI, vol. 16(1), pages 1-20, December.

  9. Hsiao, Cheng & Zhou, Qiankun, 2018. "Jive For Panel Dynamic Simultaneous Equations Models," Econometric Theory, Cambridge University Press, vol. 34(6), pages 1325-1369, December.
    See citations under working paper version above.
  10. Wan, Shui-Ki & Xie, Yimeng & Hsiao, Cheng, 2018. "Panel data approach vs synthetic control method," Economics Letters, Elsevier, vol. 164(C), pages 121-123.

    Cited by:

    1. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2020. "Has China’s Emission Trading System Achieved the Development of a Low-Carbon Economy in High-Emission Industrial Subsectors?," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    2. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    3. Castillo, Emilio, 2021. "The impacts of profit-based royalties on early-stage mineral exploration," Resources Policy, Elsevier, vol. 73(C).
    4. Kaan Celebi, 2020. "Quo Vadis, Britain? - Implications of the Brexit Process on the UK's Real Economy," EIIW Discussion paper disbei268, Universitätsbibliothek Wuppertal, University Library.
    5. Hongjun Li & Zheng Li & Cheng Hsiao, 2023. "Assessing the impacts of pandemic and the increase in minimum down payment rate on Shanghai housing prices," Empirical Economics, Springer, vol. 64(6), pages 2661-2682, June.
    6. Povilas Lastauskas & Julius Stakenas, 2021. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Bank of Lithuania Working Paper Series 87, Bank of Lithuania.
    7. Laudati, D. & Pesaran, M. H., 2021. "Identifying the Effects of Sanctions on the Iranian Economy using Newspaper Coverage," Cambridge Working Papers in Economics 2155, Faculty of Economics, University of Cambridge.
    8. Aleksandar Kešeljević & Rok Spruk, 2024. "Estimating the effects of Syrian civil war," Empirical Economics, Springer, vol. 66(2), pages 671-703, February.
    9. Hu, Yuan & Kuhn, Lena & Zheng, Wenxue, 2021. "Promote or Inhibit？the Effects of Forest Carbon Sinks Projects on Agricultural Development: Evidence from Sichuan, China," 2021 Conference, August 17-31, 2021, Virtual 315381, International Association of Agricultural Economists.
    10. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    11. Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
    12. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    13. Mingfeng Zhan & Zongwu Cai & Ying Fang & Ming Lin, 2020. "Covariate Balance Weighting Methods in Estimating Treatment Effects: An Empirical Comparison," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202020, University of Kansas, Department of Economics, revised Dec 2020.
    14. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    15. Shui Ki Wan & Cheng Hsiao & Qiankun Zhou, 2021. "Can a time-varying structure provide a more robust panel construction of counterfactuals-straitjacket or straitjackets?," Empirical Economics, Springer, vol. 60(1), pages 113-129, January.
    16. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.
    17. Cheng Hsiao & Qiankun Zhou, 2018. "Panel Parametric, Semi-parametric and Nonparametric Construction of Counterfactuals - California Tobacco Control Revisited," Departmental Working Papers 2018-02, Department of Economics, Louisiana State University.
    18. Du, Zaichao & Yin, Hua & Zhang, Lin, 2022. "Foreign buyer taxes and house prices in Canada: A tale of two cities," Journal of Housing Economics, Elsevier, vol. 55(C).

  11. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.
    See citations under working paper version above.
  12. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.

    Cited by:

    1. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2023. "Specification testing with grouped fixed effects," Papers 2310.01950, arXiv.org.
    2. Cheng Hsiao & Yimeng Xie & Qiankun Zhou, 2021. "Factor dimension determination for panel interactive effects models: an orthogonal projection approach," Computational Statistics, Springer, vol. 36(2), pages 1481-1497, June.
    3. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2023. "Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects," Empirical Economics, Springer, vol. 64(6), pages 2611-2659, June.
    4. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    5. Liu, Hao, 2019. "The communication and European Regional economic growth: The interactive fixed effects approach," Economic Modelling, Elsevier, vol. 83(C), pages 299-311.
    6. Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.

  13. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.

    Cited by:

    1. Dong, Lei & Du, Rui & Kahn, Matthew & Ratti, Carlo & Zheng, Siqi, 2021. "“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    2. Wang, Yongpei & Guan, Zhongyu & Zhang, Qian, 2023. "Railway opening and carbon emissions in distressed areas: Evidence from China's state-level poverty-stricken counties," Transport Policy, Elsevier, vol. 130(C), pages 55-67.
    3. Tianjiao Zhao & Xiang Xiao & Qinghui Dai, 2021. "Transportation Infrastructure Construction and High-Quality Development of Enterprises: Evidence from the Quasi-Natural Experiment of High-Speed Railway Opening in China," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    4. Po Kou & Ying Han & Xiaoyuan Qi & Yuanxian Li, 2022. "Does China's policy of carbon emission trading deliver sulfur dioxide reduction co-benefits?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6224-6245, May.
    5. Kong, Dongmin & Liu, Lihua & Yang, Zhiqing, 2021. "High-speed rails and rural-urban migrants’ wages," Economic Modelling, Elsevier, vol. 94(C), pages 1030-1042.
    6. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    7. Dong, Yan & Huang, Jun & Wu, Ji, 2023. "Does high-speed rail affect the agglomeration of banks in China?," Emerging Markets Review, Elsevier, vol. 56(C).
    8. Jun‐Teng Ma & Tie‐Ying Liu, 2022. "Does the high‐speed rail network improve economic growth?," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 183-208, February.
    9. Zhipeng Tang & Ziao Mei & Jialing Zou, 2021. "Does the Opening of High-Speed Railway Lines Reduce the Carbon Intensity of China’s Resource-Based Cities?," Energies, MDPI, vol. 14(15), pages 1-18, July.
    10. Lan, Xiujuan & Hu, Zheneng & Wen, Chuanhao, 2023. "Does the opening of high-speed rail enhance urban entrepreneurial activity? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    11. Yuan, Hang & Guan, Zhihua & Jiang, Changmin & Yang, Hangjun, 2023. "Peer effect in the construction of China’s high-speed rail stations: Empirical evidence from spatial econometric analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    12. Minhua Yang & Rui Yao & Linkun Ma & Ang Yang, 2024. "Towards a Low-Carbon Target: How the High-Speed Rail and Its Expansion Affects Industrial Concentration and Macroeconomic Conditions: Evidence from Chinese Urban Agglomerations," Sustainability, MDPI, vol. 16(19), pages 1-18, September.
    13. Kaan Celebi, 2020. "Quo Vadis, Britain? - Implications of the Brexit Process on the UK's Real Economy," EIIW Discussion paper disbei268, Universitätsbibliothek Wuppertal, University Library.
    14. Xie, Lin & Wang, Shaozhuang & Yan, Lingxiao, 2024. "Distributional effects of expressway access on rural entrepreneurial activities in China," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    15. Li, Chunying & Zhang, Jinning & Lyu, Yanwei, 2022. "Does the opening of China railway express promote urban total factor productivity? New evidence based on SDID and SDDD model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    16. Yu, Lamont Bo & Tran, Trang My & Lee, Wang-Sheng, 2023. "Bridging the gap: Assessing the effects of railway infrastructure investments in Northwest China," China Economic Review, Elsevier, vol. 82(C).
    17. Chen, Jean Jinghan & Cui, Chuantao & Hunt, Richard A. & Li, Leona Shao-Zhi, 2020. "External enablement of new venture creation: An exploratory, query-driven assessment of China's high-speed rail expansion," Journal of Business Venturing, Elsevier, vol. 35(6).
    18. Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2020. "Travel costs, trade, and market segmentation: Evidence from China's high‐speed railway," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1799-1825, December.
    19. Ma, Liya & Niu, Dongxiao & Sun, Weizeng, 2021. "Transportation infrastructure and entrepreneurship: Evidence from high-speed railway in China," China Economic Review, Elsevier, vol. 65(C).
    20. Xiao Ke & Justin Yifu Lin & Caihui Fu & Yong Wang, 2020. "Transport Infrastructure Development and Economic Growth in China: Recent Evidence from Dynamic Panel System-GMM Analysis," Sustainability, MDPI, vol. 12(14), pages 1-22, July.
    21. Baek, Jisun & Park, WooRam, 2022. "The impact of improved passenger transport system on manufacturing plant productivity," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    22. Jia, Ruining & Shao, Shuai & Yang, Lili, 2021. "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach," Energy Economics, Elsevier, vol. 99(C).
    23. Gao, Yanyan & Zheng, Jianghuai, 2020. "The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms," World Development, Elsevier, vol. 127(C).
    24. Chen, Fanglin & Chen, Zhongfei, 2023. "High-speed rail and happiness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    25. He, Xi, 2023. "Dams, cropland productivity, and economic development in China," China Economic Review, Elsevier, vol. 81(C).
    26. Gao, Yanyan & Zheng, Jianghuai & Wang, Xin, 2022. "Does high-speed rail reduce environmental pollution? Establishment-level evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    27. Chen, Fanglin & Hao, Xinyue & Chen, Zhongfei, 2021. "Can high-speed rail improve health and alleviate health inequality? Evidence from China," Transport Policy, Elsevier, vol. 114(C), pages 266-279.
    28. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    29. Di Matteo, Dante & Mariotti, Ilaria & Rossi, Federica, 2023. "Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    30. Wang, Yao & Dong, Weijia, 2022. "How China's high-speed rail promote local economy: New evidence from county-level panel data," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 67-81.
    31. Yuan, Liang & Fan, Xiaoming, 2023. "As a Chinese saying goes, ‘To get rich, first pave the way’: The opening of high-speed rail and automobile consumption in China," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    32. Yang, Zhiwei & Li, Can & Jiao, Jingjuan & Liu, Wei & Zhang, Fangni, 2020. "On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China," Transport Policy, Elsevier, vol. 99(C), pages 20-30.
    33. Shuai Liu & Guoxin Jiang & Le Chang & Lin Wang, 2022. "Can the Smart City Pilot Policy Promote High-Quality Economic Development? A Quasi-Natural Experiment Based on 239 Cities in China," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
    34. Xu, Fei & Li, Qiangyi & Yang, Mian, 2022. "The impacts of high-speed rail on the transformation of resource-based cities in China: A market segmentation perspective," Resources Policy, Elsevier, vol. 78(C).
    35. Deng, Taotao & Wang, Dandan & Hu, Yukun & Liu, Shuang, 2020. "Did high-speed railway cause urban space expansion? ——Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 80(C).
    36. Liaoliao Duan & Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2021. "Transportation infrastructure and capital mobility: evidence from China’s high-speed railways," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 617-648, December.
    37. Weidong Li & Xuefang Wang & Olli-Pekka Hilmola, 2020. "Does High-Speed Railway Influence Convergence of Urban-Rural Income Gap in China?," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    38. Wang, Yunmin & Cao, Guohua & Yan, Youliang & Wang, Jingjing, 2022. "Does high-speed rail stimulate cross-city technological innovation collaboration? Evidence from China," Transport Policy, Elsevier, vol. 116(C), pages 119-131.
    39. Wei Fan & Hongtao Xue & Cai Yi & Zhenying Xu, 2021. "TQWT-assisted statistical process control method for condition monitoring and fault diagnosis of bearings in high-speed rail," Journal of Risk and Reliability, , vol. 235(2), pages 230-240, April.
    40. Long, Fenjie & Zheng, Longfei & Song, Zhida, 2018. "High-speed rail and urban expansion: An empirical study using a time series of nighttime light satellite data in China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 106-118.
    41. Zhang, Xueliang & Hu, Yuqi & Lin, Yongran, 2020. "The influence of highway on local economy: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 82(C).
    42. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    43. Zhaorui Guo & Kam C. Chan & Jun Huang, 2021. "The impact of executive diversity on corporate innovation: Evidence from the natural experiment of high‐speed rail in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 219-234, January.
    44. Li, Hui & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2021. "Policy analysis for high-speed rail in China: Evolution, evaluation, and expectation," Transport Policy, Elsevier, vol. 106(C), pages 37-53.
    45. Li, Zekun & Chen, Zhenhua, 2023. "Predicting the future development scale of high-speed rail through the urban scaling law," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    46. Yu, Danlin & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Li, Guangdong, 2021. "The varying effects of accessing high-speed rail system on China’s county development: A geographically weighted panel regression analysis," Land Use Policy, Elsevier, vol. 100(C).
    47. Kuang, Chun & Liu, Zijie & Zhu, Wenyu, 2021. "Need for speed: High-speed rail and firm performance," Journal of Corporate Finance, Elsevier, vol. 66(C).
    48. Wang, Ke-Liang & Jiang, Wei & Miao, Zhuang, 2023. "Impact of high-speed railway on urban resilience in China: Does urban innovation matter?," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    49. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    50. Wu, Shuping & Han, Dan, 2022. "Accessibility of high-speed rail (HSR) stations and HSR–air competition: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 262-284.
    51. Li, Shaoshuai & Li, Zhigang & Yuan, Jia, 2020. "Examining the impact of high-speed railways on land value and government revenue: Evidence from China," China Economic Review, Elsevier, vol. 63(C).
    52. Zhang, Anqi & Liu, Lihua & Liu, Guangqiang, 2020. "High-speed rail, tourist mobility, and firm value," Economic Modelling, Elsevier, vol. 90(C), pages 108-116.
    53. Wan, Liyang & Wan, Qian, 2022. "High-speed railway and the intercity transmission of epidemics: Evidence from COVID-19 in China," Economic Modelling, Elsevier, vol. 114(C).
    54. Rong Wang & Li Ye & Liwen Chen, 2019. "The Impact of High-Speed Rail on Housing Prices: Evidence from China’s Prefecture-Level Cities," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    55. Liu, Hongwei & Zhang, Aodi & Wu, Jie, 2023. "Can industrial transfer improve urban innovation efficiency?," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    56. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    57. Jin, Mengjie & Shi, Wenming & Liu, Yu & Xu, Xiaoling & Li, Kevin X., 2022. "Heterogeneous impact of high speed railway on income distribution: A case study in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    58. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    59. Changsheng Xiong & Yu Tian & Xue Liu & Rong Tan & Qiaolin Luan, 2022. "The Different Impacts of Airports on the Ecological Environment under Distinct Institutional Contexts," Land, MDPI, vol. 11(2), pages 1-18, February.
    60. Wong, Zoey & Li, Rongrong & Peng, Dan & Kong, Qunxi, 2021. "China-european railway, investment heterogeneity, and the quality of urban economic growth," International Review of Financial Analysis, Elsevier, vol. 78(C).
    61. Zhang, Shaopeng & Wang, Xiaohong, 2022. "Does innovative city construction improve the industry–university–research knowledge flow in urban China?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    62. He, Xinao & Xu, Runguo & Sun, Kai & Wang, Jian, 2024. "Population intensity, location choice, and investment portfolio selection: A case of emerging economies," International Review of Financial Analysis, Elsevier, vol. 94(C).
    63. Kong, Dongmin & Liu, Lihua & Liu, Shasha, 2020. "Market information traveling on high-speed rails: The case of analyst forecasts," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    64. Guo, Qingbin & Zhong, Jinrong, 2022. "The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    65. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
    66. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    67. Li, Bin & Zhao, Qizi & Shahab, Yasir & Kumar, Satish, 2023. "High-speed rail construction and labor investment efficiency: Evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 64(C).
    68. Wang, Yanan & Liang, Shangkun & Kong, Dongmin & Wang, Qin, 2019. "High-speed rail, small city, and cost of debt: Firm-level evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    69. Li, Xiao & Qiao, Yuanbo & Shi, Lei, 2019. "Has China's war on pollution slowed the growth of its manufacturing and by how much? Evidence from the Clean Air Action," China Economic Review, Elsevier, vol. 53(C), pages 271-289.
    70. Shujie Yao & Jing Fang & Hongbo He, 2020. "Can Time–Space Compression Promote Urban Economic Growth? Evidence from China's High‐speed Rail Projects," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(5), pages 90-117, September.
    71. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
    72. Chen, Hongwen & Cheng, Ken & Zhang, Meiyang, 2023. "Does geographic proximity affect firms’ cross-regional development? Evidence from high-speed rail construction in China," Economic Modelling, Elsevier, vol. 126(C).

  14. Cheng Hsiao & Qiankun Zhou, 2017. "First difference or forward demeaning: Implications for the method of moments estimators," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 883-897, October.

    Cited by:

    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Tobias Wendler & Daniel Töbelmann & Jutta Günther, 2019. "Natural resources and technology - on the mitigating effect of green tech," Bremen Papers on Economics & Innovation 1905, University of Bremen, Faculty of Business Studies and Economics.
    3. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    4. Zhang, Yonghui & Zhou, Qiankun, 2019. "Estimation for time-invariant effects in dynamic panel data models with application to income dynamics," Econometrics and Statistics, Elsevier, vol. 9(C), pages 62-77.
    5. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.
    6. Tobias Wendler, 2019. "About the Relationship Between Green Technology and Material Usage," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1383-1423, November.
    7. Robert F. Phillips, 2022. "Forward Orthogonal Deviations GMM and the Absence of Large Sample Bias," Papers 2212.14075, arXiv.org, revised Jul 2024.
    8. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
    9. Robert F. Phillips, 2019. "A Comparison of First-Difference and Forward Orthogonal Deviations GMM," Papers 1907.12880, arXiv.org.
    10. Wendler, Tobias & Töbelmann, Daniel & Günther, Jutta, 2021. "Natural resources and technology - on the mitigating effect of green tech," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242416, Verein für Socialpolitik / German Economic Association.

  15. Kunpeng Li & Degui Li & Zhongwen Liang & Cheng Hsiao, 2017. "Estimation of semi-varying coefficient models with nonstationary regressors," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 354-369, March.

    Cited by:

    1. Li, Degui & Phillips, Peter C.B. & Gao, Jiti, 2020. "Kernel-based Inference in Time-Varying Coefficient Cointegrating Regression," Journal of Econometrics, Elsevier, vol. 215(2), pages 607-632.
    2. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    3. Li, Degui & Phillips, Peter C. B. & Gao, Jiti, 2016. "Uniform Consistency Of Nonstationary Kernel-Weighted Sample Covariances For Nonparametric Regression," Econometric Theory, Cambridge University Press, vol. 32(3), pages 655-685, June.
    4. Qiying Wang & Peter C. B. Phillips & Ying Wang, 2023. "New asymptotics applied to functional coefficient regression and climate sensitivity analysis," Cowles Foundation Discussion Papers 2365, Cowles Foundation for Research in Economics, Yale University.
    5. Chengyu Li & Mark Wang & Jianghao Wang & Wenjie Wu, 2016. "The Geography of City Liveliness and Land Use Configurations: Evidence from Location-Based Big Data in Beijing," SERC Discussion Papers 0201, Centre for Economic Performance, LSE.
    6. Luya Wang & Zhongwen Liang & Juan Lin & Qi Li, 2015. "Local Constant Kernel Estimation of a Partially Linear Varying Coefficient Cointegration Model," Annals of Economics and Finance, Society for AEF, vol. 16(2), pages 353-369, November.
    7. Polbin, Andrey & Skrobotov, Anton, 2022. "On decrease in oil price elasticity of GDP and investment in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 5-24.

  16. Cheng Hsiao & Qiankun Zhou, 2016. "Asymptotic distribution of quasi-maximum likelihood estimation of dynamic panels using long difference transformation when both N and T are large," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 675-683, November.

    Cited by:

    1. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.

  17. Hsiao, Cheng & Zhang, Junwei, 2015. "IV, GMM or likelihood approach to estimate dynamic panel models when either N or T or both are large," Journal of Econometrics, Elsevier, vol. 187(1), pages 312-322.

    Cited by:

    1. Cheng Hsiao & Qiankun Zhou, 2016. "Asymptotic distribution of quasi-maximum likelihood estimation of dynamic panels using long difference transformation when both N and T are large," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 675-683, November.
    2. Myung Hwan Seo & Yongcheol Shin, 2014. "Dynamic Panels with Threshold Effect and Endogeneity," STICERD - Econometrics Paper Series 577, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    3. Geert Dhaene & Koen Jochmans, 2016. "Bias-corrected estimation of panel vector autoregressions," Post-Print hal-03392010, HAL.
    4. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.
    5. Almeida, Carlo Alano Soares de & Fernandes, Kaio César & Oliveira, Denison Murilo de & Rocha, Leonardo Andrade & Silva, Napiê Galvê Araújo, 2020. "Growth and heterogeneity of human capital: effects of the expansion of higher education on the income increase in Brazilian municipalities," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    6. Leonardo A. Rocha & Denis Vieira Sarmento & Carlos Alano S. Almeida & Napiê G.A. Silva, 2020. "Spillover, public investment and innovation: the impact of public investment in R&D on business innovation," Economics Bulletin, AccessEcon, vol. 40(3), pages 2344-2360.
    7. Duttagupta, Rupa & Narita, Futoshi, 2017. "Emerging and developing economies: Entering a rough patch or protracted low gear?," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 680-698.
    8. Carbajal-De-Nova, Carolina, 2017. "A proposed method to estimate dynamic panel models when either N or T or both are not large," MPRA Paper 93100, University Library of Munich, Germany, revised 02 Sep 2017.
    9. Adrian Mehic, 2021. "FDML versus GMM for Dynamic Panel Models with Roots Near Unity," JRFM, MDPI, vol. 14(9), pages 1-9, August.
    10. Wang, Quan-Jing & Sun, Yi-Hong, 2022. "The impact of governmental ideology on forest preservation: Evidence from cross-country data," Land Use Policy, Elsevier, vol. 119(C).
    11. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
    12. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Large sample properties of an IV estimator based on the Ahn and Schmidt moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-37-19, University of Passau, Faculty of Business and Economics.
    13. Kim, Alex Jiyoung & Jang, Sungha & Shin, Hyun S., 2021. "How should retail advertisers manage multiple keywords in paid search advertising?," Journal of Business Research, Elsevier, vol. 130(C), pages 539-551.
    14. F. Marta L. Di Lascio & Selene Perazzini, 2024. "A three-way dynamic panel threshold regression model for change point detection in bioimpedance data," BEMPS - Bozen Economics & Management Paper Series BEMPS104, Faculty of Economics and Management at the Free University of Bozen.
    15. Carbajal-De-Nova, Carolina & Venegas-Martínez, Francisco, 2019. "Synthetic Estimation of Dynamic Panel Models When Either N or T or Both Are Not Large: Bias Decomposition in Systematic and Random Components," MPRA Paper 94405, University Library of Munich, Germany.

  18. Yiguo Sun & Cheng Hsiao & Qi Li, 2015. "Volatility Spillover Effect: A Semiparametric Analysis of Non-Cointegrated Process," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 127-145, February.

    Cited by:

    1. Chung Baek, 2020. "Risk Transmissions between Major Foreign Currencies: An Empirical Analysis from the U.S. Perspective," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(2), pages 151-168, September.
    2. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.

  19. HSIAO, Cheng & SHEN, Yan & BIAN, Wenlong, 2015. "Evaluating the effectiveness of China's financial reform—The efficiency of China's domestic banks," China Economic Review, Elsevier, vol. 35(C), pages 70-82.
    See citations under working paper version above.
  20. Lin Zhang & Zaichao Du & Cheng Hsiao & Hua Yin, 2015. "The Macroeconomic Effects of the Canada–US Free Trade Agreement on Canada: A Counterfactual Analysis," The World Economy, Wiley Blackwell, vol. 38(5), pages 878-892, May.

    Cited by:

    1. Fengyu Cheng & Jianping Liao & Kenichiro Soyano & Feiling Lu, 2023. "The Impact of Automobile Purchase Restriction on Urban Air Quality: Experimental Evidence from Beijing, China," Journal of Economic Statistics, Anser Press, vol. 1(1), pages 109-124, February.
    2. Yin, Hua & Du, Zaichao & Zhang, Lin, 2018. "Assessing the gains and vulnerability of free trade: A counterfactual analysis of Macau," Economic Modelling, Elsevier, vol. 70(C), pages 147-158.
    3. Du, Zaichao & Yin, Hua & Zhang, Lin, 2022. "Foreign buyer taxes and house prices in Canada: A tale of two cities," Journal of Housing Economics, Elsevier, vol. 55(C).
    4. Li, Xiao & Qiao, Yuanbo & Shi, Lei, 2019. "Has China's war on pollution slowed the growth of its manufacturing and by how much? Evidence from the Clean Air Action," China Economic Review, Elsevier, vol. 53(C), pages 271-289.

  21. Hongjun Li & Zhongjian Lin & Cheng Hsiao, 2015. "Testing purchasing power parity hypothesis: a semiparametric varying coefficient approach," Empirical Economics, Springer, vol. 48(1), pages 427-438, February.

    Cited by:

    1. Thomas L Bradley & Paul B Eberle, 2023. "Purchasing Power Parity In Russia And The Transitioning Economy 1990-1995," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 31, pages 85-111, June.
    2. Morrison, Michael & Fontenla, Matías, 2017. "Purchasing power parity across eight worlds," Economics Letters, Elsevier, vol. 158(C), pages 62-66.
    3. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    4. Ramon E. Lopez & Kevin Sepulveda, 2022. "¿Cual es el efecto de shocks de demanda interna sobre la inflacion en una economia pequena y abierta? Chile 2000-2021," Working Papers wp529, University of Chile, Department of Economics.
    5. Ying Wang & Peter C. B. Phillips, 2024. "Limit Theory of Local Polynomial Estimation in Functional Coefficient Regression," Cowles Foundation Discussion Papers 2398, Cowles Foundation for Research in Economics, Yale University.
    6. Haiqi Li Author-Name-First: Haiqi & Jing Zhang & Chaowen Zheng, 2023. "Estimating and Testing for Functional Coefficient Quantile Cointegrating Regression," Economics Discussion Papers em-dp2023-07, Department of Economics, University of Reading.
    7. Ying Wang & Peter C. B. Phillips & Yundong Tu, 2024. "Limit Theory and Inference in Non-cointegrated Functional Coefficient Regression," Cowles Foundation Discussion Papers 2399, Cowles Foundation for Research in Economics, Yale University.
    8. López, Ramón & Sepúlveda, Kevin A., 2022. "The effects of domestic demand shocks on inflation in a small open economy: Chile in the period 2000–2021," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    9. Chen, Xirong & Huang, Ta-Cheng & Li, Qi, 2017. "An alternative bandwidth selection method for estimating functional coefficient models," Economics Letters, Elsevier, vol. 156(C), pages 27-31.
    10. Winston Moore & Jeremy Stephen & Caroline Elliott, 2016. "Should cryptocurrencies be included in the portfolio of international reserves held by central banks?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1147119-114, December.

  22. Hsiao, Cheng & Zhou, Qiankun, 2015. "Statistical inference for panel dynamic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 189(2), pages 383-396.

    Cited by:

    1. Dennis Gaus & Heike Link, 2020. "Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties," Discussion Papers of DIW Berlin 1848, DIW Berlin, German Institute for Economic Research.
    2. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    3. Chihhao Fan & Chun-Yueh Lin & Ming-Che Hu, 2019. "Empirical Framework for a Relative Sustainability Evaluation of Urbanization on the Water–Energy–Food Nexus Using Simultaneous Equation Analysis," IJERPH, MDPI, vol. 16(6), pages 1-18, March.
    4. Zhang, Yonghui & Zhou, Qiankun, 2019. "Estimation for time-invariant effects in dynamic panel data models with application to income dynamics," Econometrics and Statistics, Elsevier, vol. 9(C), pages 62-77.
    5. Shiqing Ling & Michael McAleer & Howell Tong, 2015. "Frontiers in Time Series and Financial Econometrics: An Overview," Tinbergen Institute Discussion Papers 15-026/III, Tinbergen Institute.
    6. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.
    7. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    8. Ramon Cobo-Reyes & Gabriel Katz & Simone Meraglia, 2017. "Endogenous Sanctioning Institutions and Migration Patterns: Experimental Evidence," Discussion Papers 1702, University of Exeter, Department of Economics.
    9. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
    10. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
    11. Ling, S. & McAleer, M.J. & Tong, H., 2015. "Frontiers in Time Series and Financial Econometrics," Econometric Institute Research Papers EI 2015-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.

  23. Fujiki, Hiroshi & Hsiao, Cheng, 2015. "Disentangling the effects of multiple treatments—Measuring the net economic impact of the 1995 great Hanshin-Awaji earthquake," Journal of Econometrics, Elsevier, vol. 186(1), pages 66-73.
    See citations under working paper version above.
  24. Gan, Li & Hsiao, Cheng & Xu, Shu, 2014. "Model specification test with correlated but not cointegrated variables," Journal of Econometrics, Elsevier, vol. 178(P1), pages 80-85.

    Cited by:

    1. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.
    2. Ying Wang & Peter C. B. Phillips & Yundong Tu, 2024. "Limit Theory and Inference in Non-cointegrated Functional Coefficient Regression," Cowles Foundation Discussion Papers 2399, Cowles Foundation for Research in Economics, Yale University.
    3. Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.

  25. Hsiao, Cheng & Wan, Shui Ki, 2014. "Is there an optimal forecast combination?," Journal of Econometrics, Elsevier, vol. 178(P2), pages 294-309.

    Cited by:

    1. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    2. Fantazzini, Dean, 2020. "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 33-54.
    3. Pinto, Jeronymo Marcondes & Marçal, Emerson Fernandes, 2019. "Cross-validation based forecasting method: a machine learning approach," Textos para discussão 498, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    4. Jonathan Berrisch & Florian Ziel, 2021. "CRPS Learning," Papers 2102.00968, arXiv.org, revised Nov 2021.
    5. Bravo, Jorge M. & Ayuso, Mercedes & Holzmann, Robert & Palmer, Edward, 2021. "Addressing the life expectancy gap in pension policy," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 200-221.
    6. Qian, Wei & Rolling, Craig A. & Cheng, Gang & Yang, Yuhong, 2022. "Combining forecasts for universally optimal performance," International Journal of Forecasting, Elsevier, vol. 38(1), pages 193-208.
    7. Qingfeng Liu & Qingsong Yao & Guoqing Zhao, 2020. "Model averaging estimation for conditional volatility models with an application to stock market volatility forecast," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 841-863, August.
    8. Wang, Cindy S.H. & Fan, Rui & Xie, Yiqiang, 2023. "Market systemic risk, predictability and macroeconomics news," Finance Research Letters, Elsevier, vol. 56(C).
    9. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    10. Hongjun Li & Zheng Li & Cheng Hsiao, 2023. "Assessing the impacts of pandemic and the increase in minimum down payment rate on Shanghai housing prices," Empirical Economics, Springer, vol. 64(6), pages 2661-2682, June.
    11. Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
    12. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
    13. Xing, Li-Min & Zhang, Yue-Jun, 2022. "Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?," Energy Economics, Elsevier, vol. 110(C).
    14. Post, Thierry & Karabatı, Selçuk & Arvanitis, Stelios, 2019. "Robust optimization of forecast combinations," International Journal of Forecasting, Elsevier, vol. 35(3), pages 910-926.
    15. Lycheva, Maria & Mironenkov, Alexey & Kurbatskii, Alexey & Fantazzini, Dean, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
    16. Gerda Claeskens & Jan Magnus & Andrey Vasnev & Wendun Wang, 2016. "The forecast combination puzzle: a simple theoretical explanation," Working Papers of Department of Decision Sciences and Information Management, Leuven 532152, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
    17. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    18. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    19. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
    20. Adriano Koshiyama & Nick Firoozye & Philip Treleaven, 2021. "Generative adversarial networks for financial trading strategies fine-tuning and combination," Quantitative Finance, Taylor & Francis Journals, vol. 21(5), pages 797-813, May.
    21. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    22. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2015. "On the Forecast Combination Puzzle," Papers 1505.00475, arXiv.org.
    23. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    24. Mergani A. Khairalla & Xu Ning & Nashat T. AL-Jallad & Musaab O. El-Faroug, 2018. "Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model," Energies, MDPI, vol. 11(6), pages 1-21, June.
    25. Massimiliano Giacalone, 2022. "Optimal forecasting accuracy using Lp-norm combination," METRON, Springer;Sapienza Università di Roma, vol. 80(2), pages 187-230, August.
    26. Costantini, Mauro & Gunter, Ulrich & Kunst, Robert M., 2014. "Forecast combinations in a DSGE-VAR lab," Economics Series 309, Institute for Advanced Studies.
    27. Jing Zeng, 2015. "Combining Country-Specific Forecasts when Forecasting Euro Area Macroeconomic Aggregates," Working Paper Series of the Department of Economics, University of Konstanz 2015-11, Department of Economics, University of Konstanz.
    28. Wang, Jue & Wang, Zhen & Li, Xiang & Zhou, Hao, 2022. "Artificial bee colony-based combination approach to forecasting agricultural commodity prices," International Journal of Forecasting, Elsevier, vol. 38(1), pages 21-34.
    29. Chan, Felix & Pauwels, Laurent L., 2018. "Some theoretical results on forecast combinations," International Journal of Forecasting, Elsevier, vol. 34(1), pages 64-74.
    30. Zhentao Shi & Liangjun Su & Tian Xie, 2020. "L2-Relaxation: With Applications to Forecast Combination and Portfolio Analysis," Papers 2010.09477, arXiv.org, revised Aug 2022.
    31. Till Weigt & Bernd Wilfling, 2018. "An approach to increasing forecast-combination accuracy through VAR error modeling," CQE Working Papers 6818, Center for Quantitative Economics (CQE), University of Muenster.
    32. James Younker, 2022. "Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models," Discussion Papers 2022-19, Bank of Canada.
    33. Beltrán, Sergio & Castro, Alain & Irizar, Ion & Naveran, Gorka & Yeregui, Imanol, 2022. "Framework for collaborative intelligence in forecasting day-ahead electricity price," Applied Energy, Elsevier, vol. 306(PA).
    34. Thangjam, Aditya & Jaipuria, Sanjita & Dadabada, Pradeep Kumar, 2023. "Time-Varying approaches for Long-Term Electric Load Forecasting under economic shocks," Applied Energy, Elsevier, vol. 333(C).
    35. Yuying Sun & Shaoxin Hong & Zongwu Cai, 2023. "Optimal Local Model Averaging for Divergent-Dimensional Functional-Coefficient Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202309, University of Kansas, Department of Economics, revised Sep 2023.
    36. Vitor Azevedo & Georg Sebastian Kaiser & Sebastian Mueller, 2023. "Stock market anomalies and machine learning across the globe," Journal of Asset Management, Palgrave Macmillan, vol. 24(5), pages 419-441, September.
    37. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    38. Shui Ki Wan & Cheng Hsiao & Qiankun Zhou, 2021. "Can a time-varying structure provide a more robust panel construction of counterfactuals-straitjacket or straitjackets?," Empirical Economics, Springer, vol. 60(1), pages 113-129, January.
    39. Jumah, Adusei & Kunst, Robert M., 2008. "Optimizing Time-series Forecasts for Inflation and Interest Rates Using Simulation and Model Averaging," Economics Series 231, Institute for Advanced Studies.
    40. Gao, Ruobin & Li, Ruilin & Hu, Minghui & Suganthan, Ponnuthurai Nagaratnam & Yuen, Kum Fai, 2023. "Dynamic ensemble deep echo state network for significant wave height forecasting," Applied Energy, Elsevier, vol. 329(C).
    41. Berrisch, Jonathan & Ziel, Florian, 2023. "CRPS learning," Journal of Econometrics, Elsevier, vol. 237(2).
    42. Li, Sujuan & Liu, Jiaguo & Kong, Yudan, 2021. "Pilot free trade zones and Chinese port-listed companies performance: An empirical research based on quasi-natural experiment," Transport Policy, Elsevier, vol. 111(C), pages 125-137.
    43. Martin Guth, 2022. "Predicting Default Probabilities for Stress Tests: A Comparison of Models," Papers 2202.03110, arXiv.org.
    44. Kajal Lahiri & Liu Yang, 2023. "Predicting binary outcomes based on the pair-copula construction," Empirical Economics, Springer, vol. 64(6), pages 3089-3119, June.
    45. Ma, Feng & Li, Yu & Liu, Li & Zhang, Yaojie, 2018. "Are low-frequency data really uninformative? A forecasting combination perspective," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 92-108.
    46. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2021. "Systemic risk measures and distribution forecasting of macroeconomic shocks," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 178-196.
    47. Wenting Zhao & Juanjuan Zhao & Xilong Yao & Zhixin Jin & Pan Wang, 2019. "A Novel Adaptive Intelligent Ensemble Model for Forecasting Primary Energy Demand," Energies, MDPI, vol. 12(7), pages 1-28, April.
    48. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    49. Xiufeng Xing & Xueying Zhang, 2020. "Spillovers of Urban Road Infrastructure Investment and Operation: a Case Study Using Synthetic Control Method," Business, Management and Economics Research, Academic Research Publishing Group, vol. 6(10), pages 127-134, 10-2020.
    50. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2019. "On the Forecast Combination Puzzle," Econometrics, MDPI, vol. 7(3), pages 1-26, September.
    51. Jing Zeng, 2016. "Combining country-specific forecasts when forecasting Euro area macroeconomic aggregates," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 415-444, May.
    52. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).
    53. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    54. Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020. "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202016, University of Kansas, Department of Economics, revised Sep 2020.
    55. Larissa Koupriouchina & Jean-Pierre van der Rest & Zvi Schwartz, 2023. "Judgmental Adjustments of Algorithmic Hotel Occupancy Forecasts: Does User Override Frequency Impact Accuracy at Different Time Horizons?," Tourism Economics, , vol. 29(8), pages 2143-2164, December.

  26. Wang, Cindy Shin-Huei & Bauwens, Luc & Hsiao, Cheng, 2013. "Forecasting a long memory process subject to structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 171-184.
    See citations under working paper version above.
  27. Cheng Hsiao, 2012. "The Creative Tension Between Statistics And Economics," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 57(03), pages 1-11.

    Cited by:

    1. Hsiao, Cheng & Wan, Shui Ki, 2014. "Is there an optimal forecast combination?," Journal of Econometrics, Elsevier, vol. 178(P2), pages 294-309.

  28. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.

    Cited by:

    1. Zhou, Yonghong & Zheng, Xian & Yuan, Ziqing, 2022. "Trade liberalization and wages: Evidence from the closer economic partnership arrangement between mainland China and Hong Kong," Research in International Business and Finance, Elsevier, vol. 61(C).
    2. Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Gagliardi, Luisa, 2019. "The impact of foreign technological innovation on domestic employment via the industry mix," Research Policy, Elsevier, vol. 48(6), pages 1523-1533.
    4. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    5. Po Kou & Ying Han & Xiaoyuan Qi & Yuanxian Li, 2022. "Does China's policy of carbon emission trading deliver sulfur dioxide reduction co-benefits?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6224-6245, May.
    6. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    7. Marçal, Emerson Fernandes & Cunha, Ronan & Merlin, Giovanni Tondin & Simões, Oscar, 2017. "The aftermath of 2008 turmoil on Brazilian economy: Tsunami or “Marolinha”?," Textos para discussão 459, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    8. Yang Gao & Bianxia Sun, 2018. "Impacts of Introducing Index Futures on Stock Market Volatilities: New Evidences from China," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-23, December.
    9. Rohan Sweeney & Duncan Mortimer, 2016. "Has the Swap Influenced Aid Flows in the Health Sector?," Health Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 559-577, May.
    10. Yi‐Ting Chen, 2020. "A distributional synthetic control method for policy evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 505-525, August.
    11. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    12. Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
    13. Haitao Wu & Shiyue Luo & Suixin Li & Yan Xue & Yu Hao, 2024. "Fostering Urban Inclusive Green Growth: Does Corporate Social Responsibility (CSR) Matter?," Journal of Business Ethics, Springer, vol. 189(4), pages 677-698, February.
    14. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    15. Luya Wang & Zheng Li & Qi Li, 2023. "A Tale of Two Policies: Examining Treatment Effects on Housing Prices in Shenzhen, China," Annals of Economics and Finance, Society for AEF, vol. 24(2), pages 277-288, November.
    16. Subal C. Kumbhakar & Robin Sickles & Hung-Jen Wang, 2023. "Introduction," Empirical Economics, Springer, vol. 64(6), pages 2467-2474, June.
    17. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    18. Kaan Celebi, 2020. "Quo Vadis, Britain? - Implications of the Brexit Process on the UK's Real Economy," EIIW Discussion paper disbei268, Universitätsbibliothek Wuppertal, University Library.
    19. Pantelis Samartsidis & Shaun R. Seaman & Silvia Montagna & André Charlett & Matthew Hickman & Daniela De Angelis, 2020. "A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1437-1459, October.
    20. Ignacio Martinez & Jaume Vives-i-Bastida, 2022. "Bayesian and Frequentist Inference for Synthetic Controls," Papers 2206.01779, arXiv.org, revised Jul 2024.
    21. Hongjun Li & Zheng Li & Cheng Hsiao, 2023. "Assessing the impacts of pandemic and the increase in minimum down payment rate on Shanghai housing prices," Empirical Economics, Springer, vol. 64(6), pages 2661-2682, June.
    22. Becker, Martin & Klößner, Stefan, 2018. "Fast and reliable computation of generalized synthetic controls," Econometrics and Statistics, Elsevier, vol. 5(C), pages 1-19.
    23. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2014. "Sticky prices or economically-linked economies: The case of forecasting the Chinese stock market," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 95-109.
    24. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    25. Shuo Li, 2021. "Legal Instruments for the Integration and Cooperation in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA): Better Implementation of the SDGs," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    26. Meng Tian & Tongping Li & Shuwang Yang & Yiwei Wang & Shuke Fu, 2019. "The Impact of High-Speed Rail on the Service-Sector Agglomeration in China," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    27. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
    28. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    29. Fengyu Cheng & Jianping Liao & Kenichiro Soyano & Feiling Lu, 2023. "The Impact of Automobile Purchase Restriction on Urban Air Quality: Experimental Evidence from Beijing, China," Journal of Economic Statistics, Anser Press, vol. 1(1), pages 109-124, February.
    30. Laudati, D. & Pesaran, M. H., 2021. "Identifying the Effects of Sanctions on the Iranian Economy using Newspaper Coverage," Cambridge Working Papers in Economics 2155, Faculty of Economics, University of Cambridge.
    31. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    32. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    33. Piracha, Matloob & Tani, Massimiliano & Tchuente, Guy, 2017. "Immigration Policy and Remittance Behaviour," GLO Discussion Paper Series 94, Global Labor Organization (GLO).
    34. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    35. Aleksandar Kešeljević & Rok Spruk, 2024. "Estimating the effects of Syrian civil war," Empirical Economics, Springer, vol. 66(2), pages 671-703, February.
    36. Shih-Chih Chen & Jianing Hou & De Xiao, 2018. "“One Belt, One Road” Initiative to Stimulate Trade in China: A Counter-Factual Analysis," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    37. Jushan Bai & Serena Ng, 2021. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1746-1763, October.
    38. Xue, Yan & Hu, Dongmei & Irfan, Muhammad & Wu, Haitao & Hao, Yu, 2023. "Natural resources policy making through finance? The role of green finance on energy resources poverty," Resources Policy, Elsevier, vol. 85(PA).
    39. Meng-jieu Chen, 2021. "The abatement of particulate matter 2.5 in Los Angeles County: a counterfactual evaluation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7063-7088, May.
    40. Becker, Maike & Pfeifer, Gregor & Schweikert, Karsten, 2021. "Price Effects of the Austrian Fuel Price Fixing Act: A Synthetic Control Study," Energy Economics, Elsevier, vol. 97(C).
    41. Gao, Yichen & Long, Wei & Wang, Zhengwei, 2015. "Estimating average treatment effect by model averaging," Economics Letters, Elsevier, vol. 135(C), pages 42-45.
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    97. Yi Zheng, 2024. "How does the national new area impact the local economy? -- An empirical analysis from Zhoushan," Papers 2407.17523, arXiv.org.
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  29. Ching, Steve & Hsiao, Cheng & Wan, Shui Ki, 2012. "Impact of CEPA on the labor market of Hong Kong," China Economic Review, Elsevier, vol. 23(4), pages 975-981.

    Cited by:

    1. Zhou, Yonghong & Zheng, Xian & Yuan, Ziqing, 2022. "Trade liberalization and wages: Evidence from the closer economic partnership arrangement between mainland China and Hong Kong," Research in International Business and Finance, Elsevier, vol. 61(C).
    2. Yun Zhong & Xiaobo Su, 2019. "Spatial selectivity and intercity cooperation between Guangdong and Hong Kong," Urban Studies, Urban Studies Journal Limited, vol. 56(14), pages 3011-3029, November.
    3. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    4. Fengyu Cheng & Jianping Liao & Kenichiro Soyano & Feiling Lu, 2023. "The Impact of Automobile Purchase Restriction on Urban Air Quality: Experimental Evidence from Beijing, China," Journal of Economic Statistics, Anser Press, vol. 1(1), pages 109-124, February.
    5. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    6. Gao, Yichen & Li, Hongjun & Li, Qi, 2022. "The misalignments in Chinese real effective exchange rate from 1994 to 2020: A counterfactual analysis," China Economic Review, Elsevier, vol. 75(C).

  30. Cheng Hsiao & M. Hashem Pesaran & Andreas Pick, 2012. "Diagnostic Tests of Cross‐section Independence for Limited Dependent Variable Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 253-277, April.

    Cited by:

    1. Simone Bertoli & Jesús Fernández-Huertas Moraga, 2015. "Visa Policies, Networks and the Cliff at the Border," CERDI Working papers halshs-01099863, HAL.
    2. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    3. Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2015. "The size of the cliff at the border," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 1-6.
    4. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "Estimation of Cross-Sectional Dependence in Large Panels," Papers 1904.06843, arXiv.org.
    5. Badi H. Baltagi & Chihwa Kao & Bin Peng, 2016. "Testing Cross-sectional Correlation in Large Panel Data Models with Serial Correlation," Working papers 2016-32, University of Connecticut, Department of Economics.
    6. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    7. Freitag L., 2014. "Default probabilities, CDS premiums and downgrades : A probit-MIDAS analysis," Research Memorandum 038, Maastricht University, Graduate School of Business and Economics (GSBE).
    8. Jeetendra Khadan & Amrita Deonarine, 2020. "Sustainability of current account balances in small states," Economics and Business Letters, Oviedo University Press, vol. 9(1), pages 14-20.
    9. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2015. "Estimation of Heterogeneous Panels with Structural Breaks," Center for Policy Research Working Papers 179, Center for Policy Research, Maxwell School, Syracuse University.
    10. Fang, Wen Shwo & Miller, Stephen M. & Yeh, Chih-Chuan, 2012. "The effect of ESCOs on energy use," Energy Policy, Elsevier, vol. 51(C), pages 558-568.
    11. Freitag, L., 2014. "Procyclicality and path dependence of sovereign credit ratings: The example of Europe," Research Memorandum 020, Maastricht University, Graduate School of Business and Economics (GSBE).
    12. Jeetendra Khadan & Amrita Deonarine, 2019. "Testing the Inter-temporal Budget Constraint for Small States," Economics Bulletin, AccessEcon, vol. 39(2), pages 1176-1183.
    13. Long Feng & Tiefeng Jiang & Binghui Liu & Wei Xiong, 2020. "Max-sum tests for cross-sectional dependence of high-demensional panel data," Papers 2007.03911, arXiv.org.
    14. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    15. Jiti Gao & Guangming Pan & Yanrong Yang, 2016. "CEstimation of Structural Breaks in Large Panels with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 12/16, Monash University, Department of Econometrics and Business Statistics.
    16. Ludo Peeters & Coro Chasco, 2016. "Identifying local determinants of destination choices of international immigrants to the Madrid metropolitan area," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 281-307, June.
    17. Belderbos, René & Leten, Bart & Suzuki, Shinya, 2023. "International R&D and MNCs' innovation performance: An integrated approach," Journal of International Management, Elsevier, vol. 29(6).
    18. Fethi, Sami & Rahuma, Abdulhamid, 2020. "The impact of eco-innovation on CO2 emission reductions: Evidence from selected petroleum companies," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 108-115.
    19. Bilgehan TEKİN & Yusuf GÖR, 2022. "Cash conversion cycle and its relationship with profitability as a cash management tool in companies: An application on companies trading in Borsa Istanbul," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 113-130, Autumn.
    20. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 9/19, Monash University, Department of Econometrics and Business Statistics.

  31. Wang, Liqun & Hsiao, Cheng, 2011. "Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 165(1), pages 30-44.

    Cited by:

    1. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    2. Kunitomo, N. & McAleer, M.J. & Nishiyama, Y., 2010. "Moment Restriction-based Econometric Methods: An Overview," Econometric Institute Research Papers EI 2010-61, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    4. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
    5. De Nadai, Michele & Lewbel, Arthur, 2016. "Nonparametric errors in variables models with measurement errors on both sides of the equation," Journal of Econometrics, Elsevier, vol. 191(1), pages 19-32.
    6. Taraneh Abarin & Liqun Wang, 2012. "Instrumental variable approach to covariate measurement error in generalized linear models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 475-493, June.
    7. Schennach, Susanne M., 2019. "Convolution without independence," Journal of Econometrics, Elsevier, vol. 211(1), pages 308-318.
    8. Jingxuan Luo & Lili Yue & Gaorong Li, 2023. "Overview of High-Dimensional Measurement Error Regression Models," Mathematics, MDPI, vol. 11(14), pages 1-22, July.
    9. Anish Agarwal & Rahul Singh, 2021. "Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy," Papers 2107.02780, arXiv.org, revised Feb 2024.
    10. Zhang, Jun & Feng, Zhenghui & Zhou, Bu, 2014. "A revisit to correlation analysis for distortion measurement error data," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 116-129.
    11. ZINDE-WALSH, Victoria, 2007. "Errors-in-Variables Models : A Generalized Functions Approach," Cahiers de recherche 14-2007, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    12. Kun Xu & Yanyuan Ma & Liqun Wang, 2015. "Instrument Assisted Regression for Errors in Variables Models with Binary Response," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 104-117, March.

  32. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    See citations under working paper version above.
  33. Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.

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    1. Göran Kauermann & Thomas Kneib & Yarema Okhrin, 2020. "Editorial," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(1), pages 1-3, March.

  34. H. Steve Ching & Cheng Hsiao & Shui Ki Wan & Tongsan Wang, 2011. "Economic Benefits Of Globalization: The Impact Of Entry To The Wto On China'S Growth," Pacific Economic Review, Wiley Blackwell, vol. 16(3), pages 285-301, August.

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    1. Ka-fu Wong & Miaojie Yu, 2015. "Democracy and Accession to GATT/WTO," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 843-859, November.
    2. Agus Dwi Nugroho & Zoltan Lakner, 2022. "Impact of economic globalisation on agriculture in developing countries: A review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(5), pages 180-188.
    3. Faqin Lin, 2017. "Credit Constraints, Export Mode and Firm Performance: An Investigation of China's Private Enterprises," Pacific Economic Review, Wiley Blackwell, vol. 22(1), pages 123-143, February.
    4. Guo, Jiahong & Lai, Xiaoying & Lu, Chenxi & Cao, Shixiong, 2022. "What has caused China’s economic growth?," Economic Systems, Elsevier, vol. 46(2).
    5. Chien-Chiang Lee & Chi-Chuan Lee & Chun-Ping Chang, 2015. "Globalization, Economic Growth and Institutional Development in China," Global Economic Review, Taylor & Francis Journals, vol. 44(1), pages 31-63, March.
    6. Cheng Hsiao & Yan Shen & Wenlong Bian, 2016. "Evaluating the Effectiveness of China's Financial Reform The Efficiency of China's Domestic Banks," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    7. M. Maqbool-ur-Rahman, 2015. "Impacts Of Globalization On Economic Growth - Evidence From Selected South Asian Countries," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(1), pages 185-204, March.
    8. Fang, Lei & Cheng, Jiang & Su, Fang, 2019. "Interconnectedness and systemic risk: A comparative study based on systemically important regions," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 147-158.

  35. Sun, Yiguo & Hsiao, Cheng & Li, Qi, 2011. "Measuring correlations of integrated but not cointegrated variables: A semiparametric approach," Journal of Econometrics, Elsevier, vol. 164(2), pages 252-267, October.

    Cited by:

    1. Peter C.B. Phillips & Ying Wang, 2020. "When Bias Contributes to Variance: True Limit Theory in Functional Coefficient Cointegrating Regression," Cowles Foundation Discussion Papers 2250, Cowles Foundation for Research in Economics, Yale University.
    2. Gan, Li & Hsiao, Cheng & Xu, Shu, 2014. "Model specification test with correlated but not cointegrated variables," Journal of Econometrics, Elsevier, vol. 178(P1), pages 80-85.
    3. Gu, Jingping & Liang, Zhongwen, 2014. "Testing cointegration relationship in a semiparametric varying coefficient model," Journal of Econometrics, Elsevier, vol. 178(P1), pages 57-70.
    4. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.
    5. Ying Wang & Peter C. B. Phillips & Yundong Tu, 2024. "Limit Theory and Inference in Non-cointegrated Functional Coefficient Regression," Cowles Foundation Discussion Papers 2399, Cowles Foundation for Research in Economics, Yale University.
    6. Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.

  36. Georges Bresson & Cheng Hsiao, 2011. "A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 501-529, December.
    See citations under working paper version above.
  37. Hsiao, Cheng & Wan, Shui Ki, 2011. "Comparison of forecasting methods with an application to predicting excess equity premium," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1235-1246.

    Cited by:

    1. Guglielmo Maria Caporale & Luis A. Gil-Alana & Miguel Martin-Valmayor, 2021. "Persistence in the market risk premium: evidence across countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(3), pages 413-427, July.

  38. Damrongplasit, Kannika & Hsiao, Cheng & Zhao, Xueyan, 2010. "Decriminalization and Marijuana Smoking Prevalence: Evidence From Australia," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(3), pages 344-356.

    Cited by:

    1. Jérôme Adda & Brendon McConnell & Imran Rasul, 2014. "Crime and the Depenalization of Cannabis Possession: Evidence from a Policing Experiment," Journal of Political Economy, University of Chicago Press, vol. 122(5), pages 1130-1202.
    2. Anne Line Bretteville-Jensen & Jenny Williams, 2011. "Decriminalization and Initiation into Cannabis Use," Department of Economics - Working Papers Series 1130, The University of Melbourne.
    3. Adda, Jérôme & McConnell, Brendon & Rasul, Imran, 2014. "Crime and the depenalization of cannabis possession: evidence," Economics Working Papers ECO2014/05, European University Institute.
    4. Williams, Jenny & Bretteville-Jensen, Anne Line, 2014. "Does liberalizing cannabis laws increase cannabis use?," Journal of Health Economics, Elsevier, vol. 36(C), pages 20-32.
    5. Gunadi, Christian, 2021. "Does Expanding Access to Cannabis Affect Traffic Crashes? County-Level Evidence from Recreational Marijuana Dispensary Sales in Colorado," GLO Discussion Paper Series 964, Global Labor Organization (GLO).
    6. D. Mark Anderson & Benjamin Hansen & Daniel I. Rees, 2015. "Medical Marijuana Laws and Teen Marijuana Use," American Law and Economics Review, American Law and Economics Association, vol. 17(2), pages 495-528.
    7. Paula Albuquerque & José Passos, 2010. "Grandparents and women's participation in the labor market," Working Papers Department of Economics 2010/16, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    8. Félix, Sónia & Portugal, Pedro, 2015. "Drug Decriminalization and the Price of Illicit Drugs," IZA Discussion Papers 8848, Institute of Labor Economics (IZA).
    9. Niko de Silva & Benno Torgler, 2011. "Smoke Signals and Mixed Messages: Medical Marijuana & Drug Policy Signalling Effects," CREMA Working Paper Series 2011-18, Center for Research in Economics, Management and the Arts (CREMA).
    10. Liana Jacobi & Michelle Sovinsky, 2012. "Marijuana on main street: What if?," ECON - Working Papers 087, Department of Economics - University of Zurich.
    11. Ching, Steve & Hsiao, Cheng & Wan, Shui Ki, 2012. "Impact of CEPA on the labor market of Hong Kong," China Economic Review, Elsevier, vol. 23(4), pages 975-981.
    12. Christian Gunadi, 2022. "Does expanding access to cannabis affect traffic crashes? County‐level evidence from recreational marijuana dispensary sales in Colorado," Health Economics, John Wiley & Sons, Ltd., vol. 31(10), pages 2244-2268, October.

  39. Nauro Campos & Cheng Hsiao & Jeffrey Nugent, 2010. "Crises, What Crises? New Evidence on the Relative Roles of Political and Economic Crises in Begetting Reforms," Journal of Development Studies, Taylor & Francis Journals, vol. 46(10), pages 1670-1691.

    Cited by:

    1. Markus Leibrecht & Joelle H. Fiong, 2017. "Economic Crises and Globalisation as Drivers of Pension Privatisation: an Empirical Analysis," ICMA Centre Discussion Papers in Finance icma-dp2017-05, Henley Business School, University of Reading.
    2. Samuel Brazys & Krishna Chaitanya Vadlamannati, 2021. "Aid curse with Chinese characteristics? Chinese development flows and economic reforms," Public Choice, Springer, vol. 188(3), pages 407-430, September.
    3. Delphine Irac & Jimmy Lopez, 2015. "Euro area structural convergence? A multi-criterion cluster analysis," International Economics, CEPII research center, issue 143, pages 1-22.
    4. Andersson, Fredrik NG, 2016. "A Blessing in Disguise? Banking Crises and Institutional Change," World Development, Elsevier, vol. 83(C), pages 135-147.
    5. Rod Falvey & Neil Foster & David Greenaway, 2008. "Trade Liberalisation, Economic Crises and Growth," Discussion Papers 08/14, University of Nottingham, GEP.
    6. Prato, Carlo & Wolton, Stephane, 2017. "Rational ignorance, populism, and reform," LSE Research Online Documents on Economics 86371, London School of Economics and Political Science, LSE Library.
    7. Mounir Mahmalat & Declan Curran, 2018. "Do Crises Induce Reform? A Critical Review Of Conception, Methodology And Empirical Evidence Of The €˜Crisis Hypothesis’," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 613-648, July.
    8. Nauro Campos & Jeffrey Nugent, 2012. "The Dynamics of the Regulation of Labor in Developing and Developed Countries since 1960," William Davidson Institute Working Papers Series wp1037, William Davidson Institute at the University of Michigan.
    9. Berggren, Niclas & Daunfelt, Sven-Olof & Hellström, Jörgen, 2015. "Does Social Trust Speed up Reforms? The Case of Central-Bank Independence," Working Paper Series 1053, Research Institute of Industrial Economics.
    10. Bellak, Christian & Leibrecht, Markus, 2019. "The Association of Economic Crises and Investor-State Arbitration Cases," Department of Economics Working Paper Series 284, WU Vienna University of Economics and Business.
    11. Agnello, Luca & Castro, Vitor & Jalles, João Tovar & Sousa, Ricardo M., 2015. "What determines the likelihood of structural reforms?," European Journal of Political Economy, Elsevier, vol. 37(C), pages 129-145.
    12. Zara Liaqat & Jeffrey Nugent, 2015. "Under-provision of private training by MENA firms: what to Do about It?," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
    13. Duval, Romain & Furceri, Davide & Miethe, Jakob, 2020. "Robust political economy correlates of major product and labor market reforms in advanced economies: Evidence from BAMLE for logit models," Munich Reprints in Economics 84714, University of Munich, Department of Economics.
    14. Ana Carolina Garriga, 2017. "Regulatory lags, liberalization, and vulnerability to banking crises," Regulation & Governance, John Wiley & Sons, vol. 11(2), pages 143-165, June.
    15. Romp, Ward & Beetsma, Roel, 2023. "OECD pension reform: The role of demographic trends and the business cycle," European Journal of Political Economy, Elsevier, vol. 77(C).
    16. Campos, Nauro F. & De Grauwe, Paul & Ji, Yuemei, 2017. "Structural Reforms, Growth and Inequality: An Overview of Theory, Measurement and Evidence," IZA Discussion Papers 11159, Institute of Labor Economics (IZA).
    17. Gunes Gokmen & Massimiliano Gaetano Onorato & Tommaso Nannicini & Chris Papageorgiou, 2017. "Policies in Hard Times: Assessing the Impact of Financial Crises on Structural Reforms," Working Papers 605, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    18. Hannes Andréasson & Niklas Elert & Nils Karlson, 2013. "Does Social Cohesion Really Promote Reforms? WWWforEurope Working Paper No. 33," WIFO Studies, WIFO, number 46919.
    19. Andréasson, Hannes & Elert, Niklas & Karlson, Nils, 2013. "Does Social Cohesion Really Promote Reforms?," Ratio Working Papers 211, The Ratio Institute.
    20. Campos, Nauro F. & De Grauwe, Paul & Ji, Yuemei, 2023. "Structural reforms and economic performance: the experience of advanced economies," LSE Research Online Documents on Economics 120870, London School of Economics and Political Science, LSE Library.
    21. Prato, Carlo & Wolton, Stephane, 2013. "Rational Ignorance, Elections, and Reform," MPRA Paper 68638, University Library of Munich, Germany, revised 10 Dec 2015.
    22. Beetsma, Roel & Romp, Ward & van Maurik, Ron, 2017. "What Drives Pension Reform Measures in the OECD? Evidence based on a New Comprehensive Dataset and Theory," CEPR Discussion Papers 12313, C.E.P.R. Discussion Papers.
    23. Peter Huber & Thomas Leoni & Hans Pitlik, 2013. "Reforming Welfare States. WWWforEurope Deliverable No. 1," WIFO Studies, WIFO, number 47022.

  40. Liu, Echu & Hsiao, Cheng & Matsumoto, Tomoya & Chou, Shinyi, 2009. "Maternal full-time employment and overweight children: Parametric, semi-parametric, and non-parametric assessment," Journal of Econometrics, Elsevier, vol. 152(1), pages 61-69, September.

    Cited by:

    1. Liu, Hong & Zhao, Zhong, 2011. "Parental Job Loss and Children’s Health: Ten Years after the Massive Layoff of the SOEs’ Workers in China," IZA Discussion Papers 5846, Institute of Labor Economics (IZA).
    2. Jo, Young, 2014. "What money can buy: Family income and childhood obesity," Economics & Human Biology, Elsevier, vol. 15(C), pages 1-12.
    3. Charles Courtemanche & Rusty Tchernis & Xilin Zhou, 2017. "Parental Work Hours and Childhood Obesity: Evidence Using Instrumental Variables Related to Sibling School Eligibility," Working Papers 2017-041, Human Capital and Economic Opportunity Working Group.
    4. Federico Crudu & Laura Neri & Silvia Tiezzi, 2020. "Family Ties and Child Obesity in Italy," Department of Economics University of Siena 845, Department of Economics, University of Siena.
    5. Zhewen Pan, 2023. "On semiparametric estimation of the intercept of the sample selection model: a kernel approach," Papers 2302.05089, arXiv.org.
    6. Charles J. Courtemanche & Joshua C. Pinkston & Jay Stewart, 2020. "Time Spent Exercising and Obesity: An Application of Lewbel’s Instrumental Variables Method," NBER Working Papers 26670, National Bureau of Economic Research, Inc.
    7. Joan Costa Font & Mireia Jofre-Bonet & Julian Le Grand, 2015. "Vertical Transmission of Overweight: Evidence From English Adoptees," CEP Discussion Papers dp1324, Centre for Economic Performance, LSE.
    8. Biavaschi, Costanza, 2016. "Recovering the counterfactual wage distribution with selective return migration," Labour Economics, Elsevier, vol. 38(C), pages 59-80.
    9. Gwozdz, Wencke & Sousa-Poza, Alfonso & Reisch, Lucia A. & Ahrens, Wolfgang & De Henauw, Stefaan & Eiben, Gabriele & Fernandez-Alvira, Juan M. & Hadjigeorgiou, Charalampos & Kovacs, Eva & Lauria, Fabio, 2013. "Maternal employment and childhood obesity: A European perspective," FZID Discussion Papers 73-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    10. Phalen, Patricia F. & Osellame, Julia & Anderson, Catherine, 2014. "Women of influence: A case study of three telecommunications policymakers," Telecommunications Policy, Elsevier, vol. 38(4), pages 333-343.
    11. Milovanska-Farrington, Stefani, 2020. "Parents labor supply and childhood obesity: Evidence from Scotland," Economics & Human Biology, Elsevier, vol. 38(C).
    12. Nie, Peng & Sousa-Poza, Alfonso, 2014. "Maternal Employment and Childhood Obesity in China: Evidence from the China Health and Nutrition Survey," IZA Discussion Papers 8030, Institute of Labor Economics (IZA).
    13. Datar, Ashlesha & Nicosia, Nancy & Shier, Victoria, 2014. "Maternal work and children's diet, activity, and obesity," Social Science & Medicine, Elsevier, vol. 107(C), pages 196-204.
    14. Schuring, Jessica, 2013. "The impact of maternal occupation and pre-pregnancy weight status on childhood obesity: A comparative analysis of the United States and the United Kingdom," ISU General Staff Papers 201301010800004440, Iowa State University, Department of Economics.
    15. Gracious M. Diiro & Abdoul G. Sam & David Kraybill, 2017. "Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(3), pages 609-632, September.
    16. Fabrice Etilé & Marie Plessz, 2018. "Women’s employment and the decline of home cooking: Evidence from France, 1985–2010," PSE-Ecole d'économie de Paris (Postprint) halshs-01884338, HAL.
    17. Kondratjeva, Olga & Sam, Abdoul G. & Mishra, Khushbu, 2021. "Impact of mother’s employment on children’s nutrition: evidence from Nepal," 2021 Annual Meeting, August 1-3, Austin, Texas 313853, Agricultural and Applied Economics Association.
    18. Greve, Jane, 2011. "New results on the effect of maternal work hours on children's overweight status: Does the quality of child care matter?," Labour Economics, Elsevier, vol. 18(5), pages 579-590, October.
    19. Crudu, F.; & Neri, L.; & Tiezzi, S.;, 2018. "Family Ties and Children Obesity in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 18/09, HEDG, c/o Department of Economics, University of York.
    20. Yang, Muzhe & Huang, Rui, 2010. "Exposure to Obesity and Weight Gain among Adolescents," Research Reports 149944, University of Connecticut, Food Marketing Policy Center.
    21. Briody, Jonathan, 2021. "Parental unemployment during the Great Recession and childhood adiposity," Social Science & Medicine, Elsevier, vol. 275(C).

  41. Kannika Damrongplasit & Cheng Hsiao, 2009. "Decriminalization Policy And Marijuana Smoking Prevalence: A Look At The Literature," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(04), pages 621-644.

    Cited by:

    1. Niko de Silva & Benno Torgler, 2011. "Smoke Signals and Mixed Messages: Medical Marijuana & Drug Policy Signalling Effects," CREMA Working Paper Series 2011-18, Center for Research in Economics, Management and the Arts (CREMA).
    2. Liana Jacobi & Michelle Sovinsky, 2012. "Marijuana on main street: What if?," ECON - Working Papers 087, Department of Economics - University of Zurich.

  42. Yip, Winnie & Hsiao, William, 2009. "China's health care reform: A tentative assessment," China Economic Review, Elsevier, vol. 20(4), pages 613-619, December.

    Cited by:

    1. Jay Pan & Xiaoyan Lei & Gordon G. Liu, 2016. "Health Insurance and Health Status: Exploring the Causal Effect from a Policy Intervention," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1389-1402, November.
    2. Lijian Qin & Suwen Pan & Chenggang Wang & Zhongyi Jiang, 2012. "Adverse selection in China's New Rural Cooperative Medical Scheme," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(1), pages 69-83, January.
    3. Qin, Xuezheng & Pan, Jay & Liu, Gordon G., 2014. "Does participating in health insurance benefit the migrant workers in China? An empirical investigation," China Economic Review, Elsevier, vol. 30(C), pages 263-278.
    4. Bardey, David & De Donder , Philippe & Zaporozhets , Vera, 2024. "Economic Incentives to Develop and to Use Diagnostic Tests a Literature Review," Documentos CEDE 21024, Universidad de los Andes, Facultad de Economía, CEDE.
    5. Martine Audibert & Yong He & Jacky Mathonnat, 2013. "Two-Period Comparison of Healthcare Demand with Income Growth and Population Aging in Rural China: Implications for Adjustment of the Healthcare Supply and Development," Working Papers halshs-00846088, HAL.
    6. Carine Milcent & Feng Jin, 2010. "Decrease in the healthcare demand in rural China: A side effect of the industrialization process?," Working Papers halshs-00564848, HAL.
    7. Meng Yu & Shenjing He & Dunxu Wu & Hengpeng Zhu & Chris Webster, 2019. "Examining the Multi-Scalar Unevenness of High-Quality Healthcare Resources Distribution in China," IJERPH, MDPI, vol. 16(16), pages 1-20, August.
    8. Liu, Hong & Gao, Song & Rizzo, John A., 2011. "The expansion of public health insurance and the demand for private health insurance in rural China," China Economic Review, Elsevier, vol. 22(1), pages 28-41, March.
    9. Liu, Hong & Zhao, Zhong, 2014. "Does health insurance matter? Evidence from China’s urban resident basic medical insurance," Journal of Comparative Economics, Elsevier, vol. 42(4), pages 1007-1020.
    10. Atella, Vincenzo & Brugiavini, Agar & Pace, Noemi, 2015. "The health care system reform in China: Effects on out-of-pocket expenses and saving," China Economic Review, Elsevier, vol. 34(C), pages 182-195.
    11. Martine Audibert & Yong He & Jacky Mathonnat, 2011. "Income Growth, Price Variation and Health Care Demand: A Mixed Logit Model Applied to Tow-period Comparison in Rural China," Working Papers halshs-00552192, HAL.
    12. Liu, Hong & Sun, Qi & Zhao, Zhong, 2013. "Social Learning and Health Insurance Enrollment: Evidence from China's New Cooperative Medical Scheme," IZA Discussion Papers 7251, Institute of Labor Economics (IZA).
    13. Carine Milcent, 2011. "Baisse du recours aux soins dans les zones rurales en Chine," Working Papers halshs-00653450, HAL.
    14. Yang, Miaoqing, 2018. "Demand for social health insurance: Evidence from the Chinese New Rural Cooperative Medical Scheme," China Economic Review, Elsevier, vol. 52(C), pages 126-135.
    15. Sun, Jiawei & Ma, Chao & Song, Ze & Gu, Hai, 2013. "Inequality of Opportunity in Health Care in China: Suggestion on the Construction of the Urban-Rural Integrated Medical Insurance System," MPRA Paper 49389, University Library of Munich, Germany.
    16. Martine Audibert & Yong He & Jacky Mathonnat, 2011. "Income Growth, Price Variation and Health Care Demand: A Mixed Logit Model Applied to Tow-period Comparison in Rural China," CERDI Working papers halshs-00552192, HAL.
    17. Gerry, Christopher J. & Kaneva, Maria & Zasimova, Liudmila, 2017. "Reforming voluntary drug insurance in Russian healthcare: does social solidarity matter?," Health Policy, Elsevier, vol. 121(11), pages 1177-1185.
    18. Panos Kanavos & Olivier Wouters & Wei Yang & Xun Wu, 2017. "Providing Comprehensive Health Insurance Coverage in Rural China: a Critical Appraisal of the New Cooperative Medical Scheme and Ways Forward," Global Policy, London School of Economics and Political Science, vol. 8, pages 110-116, March.
    19. Wagner, Natascha & Quimbo, Stella & Shimkhada, Riti & Peabody, John, 2018. "Does health insurance coverage or improved quality protect better against out-of-pocket payments? Experimental evidence from the Philippines," Social Science & Medicine, Elsevier, vol. 204(C), pages 51-58.
    20. Wang, Jian & Iversen, Tor & Hennig-Schmidt, Heike & Godager, Geir, 2017. "How Changes in Payment Schemes Influence Provision Behavior," HERO Online Working Paper Series 2017:2, University of Oslo, Health Economics Research Programme.
    21. Huijie Yan, 2015. "The Integration of Energy, Environment and Health Policies in China: A Review," Working Papers halshs-01247183, HAL.
    22. Wanyue Dong & Anthony B. Zwi & Ruhai Bai & Chi Shen & Jianmin Gao, 2021. "Benefits Associated with China’s Social Health Insurance Schemes: Trend Analysis and Associated Factors Since Health Reform," IJERPH, MDPI, vol. 18(11), pages 1-14, May.
    23. Chu, Xueling & Chen, Qihui & Fang, Xiangming, 2013. "Can National Health Insurance Programs Improve Health Outcomes?—Re-Examining the Case of the New Cooperative Medical Scheme in Rural China," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150488, Agricultural and Applied Economics Association.
    24. Zi-Yi Guo, 2017. "Health Insurance and the Demand for Medical Care: a Case Study from China," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 4(1), pages 8-13.
    25. Wei Si, 2021. "Public health insurance and the labor market: Evidence from China's Urban Resident Basic Medical Insurance," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 403-431, February.
    26. Jing You, 2016. "Lending to Parents and Insuring Children: Is There a Role for Microcredit in Complementing Health Insurance in Rural China?," Health Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 543-558, May.
    27. Martine Audibert & Yong He & Jacky Mathonnat, 2013. "Two-Period Comparison of Healthcare Demand with Income Growth and Population Aging in Rural China: Implications for Adjustment of the Healthcare Supply and Development," CERDI Working papers halshs-00846088, HAL.
    28. Yanmei Wang & Zhiqun Shu & Jianjun Gu & Xiaoming Sun & Limei Jing & Jie Bai & Xuan Huang & Jiquan Lou & Qunfang Zhang & Ming Li, 2017. "Evidence for capitation reform in a New Rural Cooperative Medical Scheme in Pudong New Area, Shanghai: A longitudinal study," International Journal of Health Planning and Management, Wiley Blackwell, vol. 32(3), pages 307-316, July.
    29. Fu, Hongqiao & Li, Ling & Yip, Winnie, 2018. "Intended and unintended impacts of price changes for drugs and medical services: Evidence from China," Social Science & Medicine, Elsevier, vol. 211(C), pages 114-122.
    30. Ng, Ying Chu, 2011. "The productive efficiency of Chinese hospitals," China Economic Review, Elsevier, vol. 22(3), pages 428-439, September.
    31. Zhiyuan Hou & Ellen Van de Poel & Eddy Van Doorslaer & Baorong Yu & Qingyue Meng, 2014. "Effects Of Ncms On Access To Care And Financial Protection In China," Health Economics, John Wiley & Sons, Ltd., vol. 23(8), pages 917-934, August.
    32. Cui, Chengsen & Zhang, Yue & Ding, Ruoxi & He, Ping, 2024. "Impact of the Essential Public Health Service program on financial protection and health outcomes among hypertensive patients: A quasi-experimental study in China," Social Science & Medicine, Elsevier, vol. 345(C).
    33. Jiaoling Huang & Li Yuan & Hong Liang, 2020. "Which Matters for Medical Utilization Equity under Universal Coverage: Insurance System, Region or SES," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    34. Yang, Di & Acharya, Yubraj & Liu, Xiaoting, 2022. "Social health insurance consolidation and urban-rural inequality in utilization and financial risk protection in China," Social Science & Medicine, Elsevier, vol. 308(C).
    35. Pan, Jay & Liu, Gordon G. & Gao, Chen, 2013. "How does separating government regulatory and operational control of public hospitals matter to healthcare supply?," China Economic Review, Elsevier, vol. 27(C), pages 1-14.
    36. Shuang Shao & FeiFei Zhao & Jing Wang & Lei Feng & XiaoQin Lu & Juan Du & YuXiang Yan & Chao Wang & YingHong Fu & JingJing Wu & XinWei Yu & KayKeng Khoo & YouXin Wang & Wei Wang, 2013. "The Ecology of Medical Care in Beijing," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
    37. Dongjin Chen & Youxing Lang, 2021. "The cream‐skimming effect in China's health care services: A mixed methods study," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(1), pages 113-133, January.

  43. Hsiao, Cheng & Shen, Yan & Wang, Boqing & Weeks, Greg, 2008. "Evaluating the effectiveness of Washington state repeated job search services on the employment rate of prime-age female welfare recipients," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 98-108, July.

    Cited by:

    1. Anastasia Semykina & Jeffrey M. Woodridge, 2010. "Estimating Panel Data Models in the Presence of Endogeneity and Selection," Working Papers wp2010_10_01, Department of Economics, Florida State University.
    2. Bando, Rosangela & Li, Xia, 2014. "The Effect of In-Service Teacher Training on Student Learning of English as a Second Language," IDB Publications (Working Papers) 6596, Inter-American Development Bank.
    3. E. Santarelli & H. T. Tran, 2013. "Diversification Strategies and Firm Performance: A Sample Selection Approach," Working Papers wp896, Dipartimento Scienze Economiche, Universita' di Bologna.

  44. Hiroshi Fujiki & Cheng Hsiao, 2008. "Aggregate and Household Demand for Money: Evidence from the Public Opinion Survey on Household Financial Assets and Liabilities," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 26, pages 159-194, December.
    See citations under working paper version above.
  45. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.

    Cited by:

    1. Elena DRUICĂ & Zizi GOSCHIN & Cristian BĂICUȘ, 2018. "Regional socio-economic factors influencing diabetes incidence: the case of Romania," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 87-109, June.
    2. Yuanyuan Qu & Aza Azlina Md Kassim, 2023. "The Impact of Economic Policy Uncertainty on Investment in Real Estate Corporations Based on Sustainable Development: The Mediating Role of House Prices," Sustainability, MDPI, vol. 15(21), pages 1-17, October.
    3. Du, Rex Yuxing & Kamakura, Wagner A., 2015. "Improving the statistical performance of tracking studies based on repeated cross-sections with primary dynamic factor analysis," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 94-112.
    4. Sun, Yajie & Liao, Wen-Chi, 2021. "Resource-Exhausted City Transition to continue industrial development," China Economic Review, Elsevier, vol. 67(C).
    5. Ramirez-Rondan, N.R. & Terrones, Marco E., 2019. "Uncertainty and the Uncovered Interest Parity Condition: How Are They Related?," MPRA Paper 97524, University Library of Munich, Germany.
    6. Mohamed Elheddad & Mohga Bassim & Rizwan Ahmed, 2021. "FDI and economic growth in the GCC: does the oil sector matter?," Economics and Business Letters, Oviedo University Press, vol. 10(3), pages 178-190.
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    1. Wang, Liqun & Hsiao, Cheng, 2011. "Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 165(1), pages 30-44.

  47. Cheng Hsiao & Siyan Wang, 2007. "Lag-augmented two- and three-stage least squares estimators for integrated structural dynamic models," Econometrics Journal, Royal Economic Society, vol. 10(1), pages 49-81, March.
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  49. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
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  50. Cheng Hsiao & Zijun Wang & Jian Yang & Qi Li, 2006. "The emerging market crisis and stock market linkages: further evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 727-744.
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  51. Harrison Cheng & Cheng Hsiao & Jeffrey B. Nugent & Jicheng Qiu, 2006. "Managerial Autonomy, Contractual Incentives And Productivity In A Transition Economy: Some Evidence From China'S Town And Village Enterprises," Pacific Economic Review, Wiley Blackwell, vol. 11(3), pages 341-361, October.

    Cited by:

    1. Xincai Gao & Zhongyang Ji & Fayyaz Ahmad & Muhammad Umar Draz, 2019. "Financial Support and Growth of Township and Village Enterprises in China: Fresh Evidence From Regional Analyses," SAGE Open, , vol. 9(2), pages 21582440198, June.
    2. Sandeep Mohapatra & Rachael Goodhue & Scott Rozelle, 2008. "Incentive Complementarity in China’s Rural Enterprises," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(1), pages 63-79, August.

  52. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    See citations under working paper version above.
  53. Yan Shen & Cheng Hsiao & Hiroshi Fujiki, 2005. "Aggregate vs. disaggregate data analysis-a paradox in the estimation of a money demand function of Japan under the low interest rate policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 579-601.
    See citations under working paper version above.
  54. Cheng Hsiao, 2005. "Why Panel Data?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 50(02), pages 143-154.
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  55. Li, Qi & Yang, Jian & Hsiao, Cheng & Chang, Young-Jae, 2005. "The relationship between stock returns and volatility in international stock markets," Journal of Empirical Finance, Elsevier, vol. 12(5), pages 650-665, December.

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    1. Loban, Lidia & Sarto, José Luis & Vicente, Luis, 2021. "Determinants of non-compliant equity funds with EU portfolio concentration limits," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
    2. Chiang, Thomas C., 2021. "Spillovers of U.S. market volatility and monetary policy uncertainty to global stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    3. Dimitriou, Dimitrios & Simos, Theodore, 2011. "The relationship between stock returns and volatility in the seventeen largest international stock markets: A semi-parametric approach," MPRA Paper 37528, University Library of Munich, Germany.
    4. Argha , Leila & Mowlaei , Mohammad & Khezri , Mohsen & Shahabadi , Abolfazl, 2017. "Impact of the Selected Domestic and Foreign Markets Returns on Stock Price in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 12(4), pages 481-489, October.
    5. Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019, January-A.
    6. Chiang, Thomas C., 2019. "Empirical analysis of intertemporal relations between downside risks and expected returns—Evidence from Asian markets," Research in International Business and Finance, Elsevier, vol. 47(C), pages 264-278.
    7. Chen, Xiaoyu & Chiang, Thomas C., 2020. "Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market," Research in International Business and Finance, Elsevier, vol. 53(C).
    8. Fiza Qureshi & Ali M. Kutan & Habib Hussain Khan & Saba Qureshi, 2019. "Equity fund flows, market returns, and market risk: evidence from China," Risk Management, Palgrave Macmillan, vol. 21(1), pages 48-71, March.
    9. Faisal Khan & Saif-Ur-Rehman Khan & Hashim Khan, 2016. "Pricing of Risk, Various Volatility Dynamics and Macroeconomic Exposure of Firm Returns: New Evidence on Age Effect," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 551-561.
    10. Jin, Xiaoye, 2017. "Time-varying return-volatility relation in international stock markets," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 157-173.
    11. Licheng Sun & Liang Meng & Mohammad Najand, 2017. "The Role of U.S. Market on International Risk-Return Tradeoff Relations," The Financial Review, Eastern Finance Association, vol. 52(3), pages 499-526, August.
    12. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2015. "Shifts in volatility driven by large stock market shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 130-147.
    13. Angelos Kanas, 2013. "The risk-return relation and VIX: evidence from the S&P 500," Empirical Economics, Springer, vol. 44(3), pages 1291-1314, June.
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    20. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
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    26. Talpsepp, Tõnn & Rieger, Marc Oliver, 2010. "Explaining asymmetric volatility around the world," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 938-956, December.
    27. Eun, Cheol S. & Huang, Wei, 2007. "Asset pricing in China's domestic stock markets: Is there a logic?," Pacific-Basin Finance Journal, Elsevier, vol. 15(5), pages 452-480, November.
    28. Dong, Xinyue & Ma, Rong & Li, Honggang, 2019. "Stock index pegging and extreme markets," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 13-21.
    29. Sabbaghi, Omid, 2011. "Asymmetric volatility and trading volume: The G5 evidence," Global Finance Journal, Elsevier, vol. 22(2), pages 169-181.
    30. Emre BULUT & Ahmed İhsan ŞİMŞEK, 2023. "The Relationship Between the Stock Market Volatility, Liquidity, Exchange Rate Return, and Stock Return During the COVID-19 Period: The case of the BIST 100 Index," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 7(1), pages 121-135, June.
    31. Wissem Daadaa, 2016. "Abnormal Return, Market Reaction around Rating Announcement in Tunisian Stock Market," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 322-322, July.
    32. Katsuyuki Takahashi & Isao Shoji, 2011. "An empirical analysis of the volatility of the Japanese stock price index: a non-parametric approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(7), pages 1381-1394, June.
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    34. Wu, Shue-Jen & Lee, Wei-Ming, 2015. "Intertemporal risk–return relationships in bull and bear markets," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 308-325.
    35. Armine Karami & Raphael Benichou & Michael Benzaquen & Jean-Philippe Bouchaud, 2019. "Conditional Correlations and Principal Regression Analysis for Futures," Papers 1912.12354, arXiv.org, revised Jan 2020.
    36. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Dependence patterns among Banking Sectors in Asia: A Copula Approach," MPRA Paper 60119, University Library of Munich, Germany.
    37. Ioannis A. Tampakoudis & Demetres N. Subeniotis & Ioannis G. Kroustalis, 2012. "Modelling volatility during the current financial crisis: an empirical analysis of the US and the UK stock markets," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 5(3/4), pages 171-194.
    38. Lee, Bong Soo & Paek, Miyoun & Ha, Yeonjeong & Ko, Kwangsoo, 2015. "The dynamics of market volatility, market return, and equity fund flow: International evidence," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 214-227.
    39. Sayim, Mustafa & Rahman, Hamid, 2015. "An examination of U.S. institutional and individual investor sentiment effect on the Turkish stock market," Global Finance Journal, Elsevier, vol. 26(C), pages 1-17.
    40. Blessing Taruvinga & Boda Kang & Christina Sklibosios Nikitopoulos, 2018. "Pricing American Options with Jumps in Asset and Volatility," Research Paper Series 394, Quantitative Finance Research Centre, University of Technology, Sydney.
    41. Hayashida, Minoru & Ono, Hiroyuki, 2016. "Tax reforms and stock return volatility: The case of Japan," Journal of Asian Economics, Elsevier, vol. 45(C), pages 1-14.
    42. Hui Guo & Christopher J. Neely, 2006. "Investigating the intertemporal risk-return relation in international stock markets with the component GARCH model," Working Papers 2006-006, Federal Reserve Bank of St. Louis.
    43. Jiranyakul, Komain, 2011. "On the Risk-Return Tradeoff in the Stock Exchange of Thailand: New Evidence," MPRA Paper 45583, University Library of Munich, Germany.
    44. Mojisola Olugbode & Ahmed El-Masry & John Pointon, 2014. "Exchange Rate and Interest Rate Exposure of UK Industries Using First-order Autoregressive Exponential GARCH-in-mean (EGARCH-M) Approach," Manchester School, University of Manchester, vol. 82(4), pages 409-464, July.
    45. Bahram Adrangi & Arjun Chatrath, 2022. "Dynamic Responses of Major Pacific Rim Emerging Equity Markets to the US Crude Oil Fear Index (OVX)," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 51-84.
    46. Anatolyev, Stanislav & Tarasyuk, Irina, 2015. "Missing mean does no harm to volatility!," Economics Letters, Elsevier, vol. 134(C), pages 62-64.
    47. He, Zhifang, 2022. "Asymmetric impacts of individual investor sentiment on the time-varying risk-return relation in stock market," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 177-194.
    48. Chiang, Thomas C., 2019. "Economic policy uncertainty, risk and stock returns: Evidence from G7 stock markets," Finance Research Letters, Elsevier, vol. 29(C), pages 41-49.
    49. Pedro Piccoli & Newton C. A. da Costa & Wesley Vieira da Silva & June A. W. Cruz, 2018. "Investor sentiment and the risk–return tradeoff in the Brazilian market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 599-618, November.
    50. Jie Zhu, 2008. "Pricing Volatility of Stock Returns with Volatile and Persistent Components," CREATES Research Papers 2008-14, Department of Economics and Business Economics, Aarhus University.
    51. Armine Karami & Raphael Benichou & Michael Benzaquen & Jean-Philippe Bouchaud, 2021. "Conditional Correlations and Principal Regression Analysis for Futures," Post-Print hal-02567501, HAL.
    52. Thomas C. Chiang, 2019. "Market Efficiency and News Dynamics: Evidence from International Equity Markets," Economies, MDPI, vol. 7(1), pages 1-17, February.
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    54. Francesco PAOLONE, 2014. "Cost Structure Complexity And Stock Prices Volatility: An Analysis Of Possible Relationship Among Italian Listed Companies In The Period Of Crisis," Romanian Journal of Economics, Institute of National Economy, vol. 38(1(47)), pages 107-133, June.
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    56. Mohanty, Roshni & P, Srinivasan, 2014. "The Time-Varying Risk and Return Trade Off in Indian Stock Markets," MPRA Paper 55660, University Library of Munich, Germany.
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    58. Aluko Olufemi Adewale & Adeyeye Patrick Olufemi & Migiro Stephen Oseko, 2017. "Modelling Volatility Persistence and Asymmetry with Structural Break: Evidence from the Nigerian Stock Market," Journal of Economics and Behavioral Studies, AMH International, vol. 8(6), pages 153-160.
    59. Claudeci Da Silva & Hugo Agudelo Murillo & Joaquim Miguel Couto, 2014. "Early Warning Systems: Análise De Ummodelo Probit De Contágio De Crise Dos Estados Unidos Para O Brasil(2000-2010)," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 110, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

  56. Li, Tong & Hsiao, Cheng, 2004. "Robust estimation of generalized linear models with measurement errors," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 51-65.

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    1. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2013. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Tinbergen Institute Discussion Papers 13-036/III, Tinbergen Institute.
    2. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Joop Hartog & Luis Diaz-Serrano, 2004. "Earnings Risk And Demand For Higher Education: A Cross-Section Test For Spain," Economics Department Working Paper Series n1370804, Department of Economics, National University of Ireland - Maynooth.
    4. Yuan-chin Chang, 2011. "Sequential estimation in generalized linear models when covariates are subject to errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(1), pages 93-120, January.
    5. Tang, Niansheng & Wang, Wenjun, 2019. "Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 640-655.
    6. Delaigle, Aurore & Meister, Alexander, 2007. "Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1416-1426, December.
    7. Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers CWP37/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Taraneh Abarin & Liqun Wang, 2012. "Instrumental variable approach to covariate measurement error in generalized linear models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 475-493, June.
    9. Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers 37/13, Institute for Fiscal Studies.
    10. Daisuke Kurisu & Taisuke Otsu, 2019. "On the uniform convergence of deconvolution estimators from repeated measurements," STICERD - Econometrics Paper Series 604, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    11. Zhang, Jun & Feng, Zhenghui & Zhou, Bu, 2014. "A revisit to correlation analysis for distortion measurement error data," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 116-129.
    12. Kurisu, Daisuke & Otsu, Taisuke, 2022. "On the uniform convergence of deconvolution estimators from repeated measurements," LSE Research Online Documents on Economics 107533, London School of Economics and Political Science, LSE Library.
    13. José da Silva Costa & Armindo Cravalho, 2013. "Yardstick Competition among Portuguese Municipalities: The Case of Urban Property Tax (IMI)," FEP Working Papers 495, Universidade do Porto, Faculdade de Economia do Porto.
    14. Takuma Yoshida, 2019. "Two stage smoothing in additive models with missing covariates," Statistical Papers, Springer, vol. 60(6), pages 1803-1826, December.
    15. Wing-Keung Wong & Guorui Bian, 2005. "Robust Estimation of Multiple Regression Model with Non-normal Error: Symmetric Distribution," Monash Economics Working Papers 09/05, Monash University, Department of Economics.
    16. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice," Transport Policy, Elsevier, vol. 18(2), pages 326-335, March.
    17. Yuan-chin Chang & Hung-Yi Lu, 2010. "Online Calibration Via Variable Length Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 140-157, March.
    18. Xiaohong Chen & Han Hong & Denis Nekipelov, 2011. "Nonlinear Models of Measurement Errors," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 901-937, December.

  57. Li, Qi & Hsiao, Cheng & Zinn, Joel, 2003. "Consistent specification tests for semiparametric/nonparametric models based on series estimation methods," Journal of Econometrics, Elsevier, vol. 112(2), pages 295-325, February.

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    1. Li, Muyi & Zhang, Yanfen, 2022. "Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
    2. Cheng Hsiao & Qi Li & Jeff Racine, 2006. "A Consistent Model Specification Test with Mixed Discrete and Continuous Data," IEPR Working Papers 06.47, Institute of Economic Policy Research (IEPR).
    3. Juan Carlos Escanciano, 2005. "Goodness-of-fit Tests for Linear and Non-linear Time Series Models," Faculty Working Papers 02/05, School of Economics and Business Administration, University of Navarra.
    4. Juan Carlos Escanciano, 2004. "Model Checks Using Residual Marked Empirical Processes," Faculty Working Papers 13/04, School of Economics and Business Administration, University of Navarra.
    5. Song, Kyungchul, 2010. "Testing semiparametric conditional moment restrictions using conditional martingale transforms," Journal of Econometrics, Elsevier, vol. 154(1), pages 74-84, January.
    6. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    7. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
    8. Shao, Xiaofeng, 2011. "A bootstrap-assisted spectral test of white noise under unknown dependence," Journal of Econometrics, Elsevier, vol. 162(2), pages 213-224, June.
    9. Li, Fuchun & Tkacz, Greg, 2006. "A consistent bootstrap test for conditional density functions with time-series data," Journal of Econometrics, Elsevier, vol. 133(2), pages 863-886, August.
    10. Manuel Vega-Gordillo & José Luis à lvarez-Arce, 2005. "Heterogeneity In Economic Freedom: Free Clusters Or Free Countries," Faculty Working Papers 08/05, School of Economics and Business Administration, University of Navarra.
    11. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    12. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    13. Escanciano, J. Carlos, 2006. "A Consistent Diagnostic Test For Regression Models Using Projections," Econometric Theory, Cambridge University Press, vol. 22(6), pages 1030-1051, December.
    14. Kim Kyoo il & Petrin Amil, 2015. "Tests for Price Endogeneity in Differentiated Product Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 47-69, January.
    15. Hill Jonathan B., 2013. "Stochastically weighted average conditional moment tests of functional form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 121-139, April.
    16. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    17. Nedeljković, Milan & Urošević, Branko, 2012. "Determinants of the Dinar-Euro Nominal Exchange Rate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 121-141, September.
    18. Ivan Korolev, 2018. "A Consistent Heteroskedasticity Robust LM Type Specification Test for Semiparametric Models," Papers 1810.07620, arXiv.org, revised Nov 2019.
    19. Felix Abramovich & Italia Feis & Theofanis Sapatinas, 2009. "Optimal testing for additivity in multiple nonparametric regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(3), pages 691-714, September.
    20. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    21. Wei Huang & Oliver Linton & Zheng Zhang, 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Papers 2102.08063, arXiv.org, revised Sep 2021.
    22. Xiaohong Chen & Timothy M. Christensen, 2014. "Optimal Uniform Convergence Rates and Asymptotic Normality for Series Estimators under Weak Dependence and Weak Conditions," Cowles Foundation Discussion Papers 1976, Cowles Foundation for Research in Economics, Yale University.
    23. Liangjun Su & Stefan Hoderlein & Halbert White, 2013. "Testing Monotonicity in Unobservables with Panel Data," Boston College Working Papers in Economics 892, Boston College Department of Economics, revised 01 Feb 2016.
    24. Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
    25. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
    26. Escanciano, Juan Carlos & Song, Kyungchul, 2010. "Testing single-index restrictions with a focus on average derivatives," Journal of Econometrics, Elsevier, vol. 156(2), pages 377-391, June.
    27. Escanciano, J. Carlos & Velasco, Carlos, 2006. "Generalized spectral tests for the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 134(1), pages 151-185, September.
    28. Su, Liangjun & Hoshino, Tadao, 2016. "Sieve instrumental variable quantile regression estimation of functional coefficient models," Journal of Econometrics, Elsevier, vol. 191(1), pages 231-254.
    29. Ai, Chunrong & Linton, Oliver & Zhang, Zheng, 2022. "Estimation and inference for the counterfactual distribution and quantile functions in continuous treatment models," Journal of Econometrics, Elsevier, vol. 228(1), pages 39-61.
    30. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
    31. Xiaohong Chen & Timothy M. Christensen, 2014. "Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions," CeMMAP working papers 46/14, Institute for Fiscal Studies.
    32. Delgado, Miguel A. & Carlos Escanciano, J., 2007. "Nonparametric tests for conditional symmetry in dynamic models," Journal of Econometrics, Elsevier, vol. 141(2), pages 652-682, December.
    33. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.

  58. Hsiao, Cheng & Shen, Yan, 2003. "Foreign Direct Investment and Economic Growth: The Importance of Institutions and Urbanization," Economic Development and Cultural Change, University of Chicago Press, vol. 51(4), pages 883-896, July.

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    1. Lee, Jung Wan & Brahmasrene, Tantatape, 2013. "Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union," Tourism Management, Elsevier, vol. 38(C), pages 69-76.
    2. Nguyen Van Bon, 2019. "The Role Of Institutional Quality In The Relationship Between Fdi And Economic Growth In Vietnam: Empirical Evidence From Provincial Data," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(03), pages 601-623, June.
    3. Ilan Noy & Tam B. Vu, 2007. "Capital Account Liberalization and Foreign Direct Investment," Working Papers 200708, University of Hawaii at Manoa, Department of Economics.
    4. Yang Li & Shin-Yi Chen, 2010. "The Impact of FDI on the Productivity of Chinese Economic Regions," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 17(3), pages 299-312.
    5. Silvia Gómez Soler, 2012. "Organized Crime, Foreign Investment and Economic Growth," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 6(2), pages 5-32, December.
    6. Parikshit Basu & John Hicks & Richard Sappey, 2006. "Free Trade Agreements and Investment: A Chinese Perspective," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 13(2), pages 179-192.
    7. Maria Cipollina & Giorgia Giovannetti & Filomena Pietrovito & Alberto Franco Pozzolo, 2011. "FDI and Growth: What Cross-Country Industry Data Say," Development Working Papers 313, Centro Studi Luca d'Agliano, University of Milano.
    8. Apergis, Nicholas & Poufinas, Thomas, 2020. "The role of insurance growth in economic growth: Fresh evidence from a panel of OECD countries," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    9. Kamal A. El-Wassal, 2012. "Foreign Direct Investment And Economic Growth In Arab Countries (1970-2008): An Inquiry Into Determinants Of Growth Benefits," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 37(4), pages 79-100, December.
    10. Emmanuel Apergis & Nicholas Apergis, 2018. "What is extracted from earth is gold: are rare earths telling a new tale to economic growth?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(1), pages 177-192, January.
    11. Ogbeifun Lawrence & Shobande Olatunji Abdul, 2020. "Causality Analysis of Disaggregated FDI Inflows on Sectorial Growth in OECD Area," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 30(4), pages 92-110, December.
    12. Suborna Barua & Junnatun Naym & Hazera-Tun-Nessa, 2017. "Economic Climate, Infrastructure and FDI: Global Evidence with New Dimensions," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 16(1), pages 31-48, June.
    13. Lishi Liu & Shuang Meng & Jiajie Yu, 2022. "Innovation from Spatial Spillovers of FDI and the Threshold Effect of Urbanization: Evidence from Chinese Cities," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    14. Amendolagine, Vito & Prota, Francesco, 2021. "Bilateral investment treaties and backward linkages in Sub-Saharan Africa," International Economics, Elsevier, vol. 165(C), pages 172-185.
    15. Balsalobre-Lorente, Daniel & Driha, Oana M. & Sinha, Avik, 2020. "The dynamic effects of globalization process in analysing N-shaped tourism led growth hypothesis," MPRA Paper 100078, University Library of Munich, Germany.
    16. Kais Saidi & Mounir Ben Mbarek & Mounira Amamri, 2018. "Causal Dynamics between Energy Consumption, ICT, FDI, and Economic Growth: Case Study of 13 MENA Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(1), pages 228-238, March.
    17. Qu, Guangjun & Sylwester, Kevin & Wang, Feng, 2018. "Anticorruption and growth: Evidence from China," European Journal of Political Economy, Elsevier, vol. 55(C), pages 373-390.
    18. Minniti, Maria & Lévesque, Moren, 2010. "Entrepreneurial types and economic growth," Journal of Business Venturing, Elsevier, vol. 25(3), pages 305-314, May.
    19. Frederick van der Ploeg & Steven Poelhekke, 2008. "Globalization and the rise of mega-cities in the developing world," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(3), pages 477-501.
    20. Faik Bilgili & Nadide S. Tülüce & Ibrahim Doğan & H. Hilal Bağlıtas, 2016. "The causality between FDI and sector-specific production in Turkey: evidence from threshold cointegration with regime shifts," Applied Economics, Taylor & Francis Journals, vol. 48(5), pages 345-360, January.
    21. Joachim Möller & Marcus Zierer, 2014. "The Impact Of The German Autobahn Net On Regional Labor Market Performance: A Study Using Historical Instrument Variables," Working Paper Series in Economics 329, University of Lüneburg, Institute of Economics.
    22. Cingolani, Luciana & Crombrugghe, Denis de, 2012. "Techniques for dealing with reverse causality between institutions and economic performance," MERIT Working Papers 2012-034, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    23. Li, Xiaoying & Liu, Xiaming, 2005. "Foreign Direct Investment and Economic Growth: An Increasingly Endogenous Relationship," World Development, Elsevier, vol. 33(3), pages 393-407, March.
    24. Lee, Jung Wan, 2013. "The contribution of foreign direct investment to clean energy use, carbon emissions and economic growth," Energy Policy, Elsevier, vol. 55(C), pages 483-489.
    25. Omri, Anis & Kahouli, Bassem, 2014. "Causal relationships between energy consumption, foreign direct investment and economic growth: Fresh evidence from dynamic simultaneous-equations models," Energy Policy, Elsevier, vol. 67(C), pages 913-922.
    26. Karimi, Mohammad Sharif & Yusop, Zulkornain, 2009. "FDI and Economic Growth in Malaysia," MPRA Paper 14999, University Library of Munich, Germany.
    27. Mahmood, Haider, 2018. "An Investigation Of Macroeconomic Determinants Of Fdi Inflows In Bangladesh," MPRA Paper 109144, University Library of Munich, Germany.
    28. S G Dastidar & N Apergis, 2022. "Do Remittances Promote Economic Growth? New Evidence from India," Economic Issues Journal Articles, Economic Issues, vol. 27(1), pages 11-37, March.
    29. Wu, Haitao & Hao, Yu & Weng, Jia-Hsi, 2019. "How does energy consumption affect China's urbanization? New evidence from dynamic threshold panel models," Energy Policy, Elsevier, vol. 127(C), pages 24-38.
    30. Jacopo Torriti & Eka Ikpe, 2015. "Administrative costs of regulation and foreign direct investment: the Standard Cost Model in non-OECD countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 151(1), pages 127-144, February.
    31. Das, Seshanwita & Das, Tapas, 2012. "A Time-series Analysis of Impact of FDI on Economic Development In India during Post-reforms Era (1991-2010)," MPRA Paper 53090, University Library of Munich, Germany.
    32. Tarek Ghazouani, 2022. "The Effect of FDI Inflows, Urbanization, Industrialization, and Technological Innovation on CO2 Emissions: Evidence from Tunisia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3265-3295, December.
    33. Jeffrey A. Edwards & Alfredo A. Romero & Zagros Madjd-Sadjadi, 2016. "Foreign direct investment, economic growth, and volatility: a useful model for policymakers," Empirical Economics, Springer, vol. 51(2), pages 681-705, September.
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    1. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2004. "Aggregate vs Disaggregate Data Analysis — A Paradox in the Estimation of a Money Demand Function of Japan Under the Low Interest Rate Policy," IEPR Working Papers 04.1, Institute of Economic Policy Research (IEPR).
    2. Claudio Morana, 2004. "The Japanese Deflation: Has It Had Real Effects? Could It Have Been Avoided?," ICER Working Papers 29-2004, ICER - International Centre for Economic Research.
    3. Andreas Fischer, 2005. "Measuring Income Elasticity for Swiss Money Demand: What do the cantons say about financial innovation?," Working Papers 05.01, Swiss National Bank, Study Center Gerzensee.
    4. Shigeyoshi Miyagawa & Yoji Morita & Yoshitaka Sawada, 2007. "The Role of Central Bank in the Recession in the Case of Japan's Recession," Discussion Papers 17, Aboa Centre for Economics.
    5. Cargill, Thomas F. & Parker, Elliott, 2004. "Price deflation, money demand, and monetary policy discontinuity: a comparative view of Japan, China, and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 15(1), pages 125-147, March.
    6. Ryuzo Miyao, 2002. "Liquidity Trap and the Stability of Money Demand: Is Japan Really Trapped at the Zero Bound?," Discussion Paper Series 127, Research Institute for Economics & Business Administration, Kobe University.
    7. Jun Nagayasu, 2012. "Financial innovation and regional money," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4617-4629, December.
    8. Laurence M. Ball, 2006. "Fiscal Remedies for Japan's Slump," NBER Chapters, in: Monetary Policy with Very Low Inflation in the Pacific Rim, pages 279-304, National Bureau of Economic Research, Inc.
    9. Fujiki, Hiroshi & 藤木, 裕 & フジキ, ヒロシ & Kitamura, Yukinobu & 北村, 行伸 & キタムラ, ユキノブ, 2003. "The Big Mac Standard: A Statistical Illustration," Discussion Paper Series a446, Institute of Economic Research, Hitotsubashi University.
    10. Hyunjoo Ryou & Cristina Terra, 2015. "Exchange Rate Dynamics under Financial Market Frictions," THEMA Working Papers 2015-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    11. Seidman, Laurence & Lewis, Kenneth, 2015. "Stimulus without debt in a severe recession," Journal of Policy Modeling, Elsevier, vol. 37(6), pages 945-960.
    12. Akhand Akhtar Hossain, 2015. "The Evolution of Central Banking and Monetary Policy in the Asia-Pacific," Books, Edward Elgar Publishing, number 14611.
    13. Hiroshi Fujiki & Cheng Hsiao, 2008. "Aggregate and Household Demand for Money: Evidence from Public Opinion Survey on Household Financial Assets and Liabilities," IMES Discussion Paper Series 08-E-17, Institute for Monetary and Economic Studies, Bank of Japan.

  61. Robert Dekle & Cheng Hsiao & Siyan Wang, 2002. "High Interest Rates and Exchange Rate Stabilization in Korea, Malaysia, and Thailand: An Empirical Investigation of the Traditional and Revisionist Views," Review of International Economics, Wiley Blackwell, vol. 10(1), pages 64-78, February.

    Cited by:

    1. Eijffinger, S.C.W. & Goderis, B.V.G., 2008. "The effect of monetary policy on exchange rates during currency crises : The role of debt, institutions and financial openness," Other publications TiSEM 4302d92e-464e-40f4-b67e-a, Tilburg University, School of Economics and Management.
    2. Choi, In & Park, Daekeun, 2008. "Causal relation between interest and exchange rates in the Asian currency crisis," Japan and the World Economy, Elsevier, vol. 20(3), pages 435-452, August.
    3. Alexandros Pasiouras & Theodoros Daglis, 2020. "The Dollar Exchange Rates in the Covid-19 Era: Evidence from 5 Currencies," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 352-361.
    4. Hsing, Yu, 2009. "Analysis of the Behavior of the New Zealand Dollar Exchange Rate: Comparison of Four Major Models," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 5(1-2), pages 1-10, March.
    5. Inci Gumus, 2002. "Effects of the Interest Rate Defense on Exchange Rates During the 1994 Crisis in Turkey," Working Papers 0214, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    6. Yu Hsing, 2015. "Short-Run Determinants of the USD/MYR Exchange Rate," Economics Bulletin, AccessEcon, vol. 35(1), pages 97-105.
    7. Yu Hsing, 2010. "Analysis of movements in the AUD/USD exchange rate: comparison of four major models," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 575-580.
    8. Shiu-Sheng Chen, 2003. "Revisiting the Interest Rate-Exchange Rate Nexus: A Markov Switching Approach," International Finance 0303002, University Library of Munich, Germany, revised 05 Apr 2003.
    9. Hsing, Yu, 2016. "Comparison of the Fundamental and Monetary Models of the Determinants of the Argentine Peso/US Dollar Exchange Rate," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(4), pages 379-388.
    10. Vincent Bouvatier, 2007. "Are International Interest Rate Differentials Driven by the Risk Premium? The Case of Asian Countries," Economics Bulletin, AccessEcon, vol. 5(6), pages 1-14.
    11. Huseyin Karamelikli & Mohammad Sharif Karimi, 2022. "Asymmetric relationship between interest rates and exchange rates: Evidence from Turkey," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1269-1279, January.
    12. Thi Hong Hanh Pham, 2018. "Liquidity and exchange rate volatility," Working Papers halshs-01708633, HAL.
    13. Yu Hsing, 2009. "The Determination Of The Costa Rica Colon/Usd Exchange Rate," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 3(1), pages 79-87.
    14. Ramkishen S. Rajan, 2007. "Managing new-style currency crises: the swan diagram approach revisited," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(5), pages 583-606.
    15. HSING, Yu, 2021. "Are The Predictions Of The Mundell-Fleming Model Applicable To Argentina?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 21(1), pages 37-48.
    16. Yu Hsing, 2016. "Determinants of the ZAR/USD exchange rate and policy implications: A simultaneous-equation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1151131-115, December.
    17. Alibey Kudar, 2021. "Interest rate as the last link of chain during crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3189-3203, April.
    18. Soyoung Kim, 2014. "Effects of Monetary Policy Shocks on the Exchange Rate in the Republic of Korea: Capital Flows in Stock and Bond Markets," Asian Development Review, MIT Press, vol. 31(1), pages 121-135, March.
    19. Mr. Evan C Tanner, 2002. "Exchange Market Pressure, Currency Crises, and Monetary Policy: Additional Evidence From Emerging Markets," IMF Working Papers 2002/014, International Monetary Fund.
    20. Konstantinos N. Konstantakis & Ioannis G. Melissaropoulos & Theodoros Daglis & Panayotis G. Michaelides, 2023. "The euro to dollar exchange rate in the Covid‐19 era: Evidence from spectral causality and Markov‐switching estimation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 2037-2055, April.
    21. Luis-Felipe Zanna, 2006. "Fighting against currency depreciation, macroeconomic instability and sudden stops," International Finance Discussion Papers 848, Board of Governors of the Federal Reserve System (U.S.).
    22. Yu HSING, 2016. "Determinants of the Hungarian forint/ US dollar exchange rate," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(606), S), pages 163-170, Spring.

  62. Hsiao, Cheng, 2001. "Identification And Dichotomization Of Long- And Short-Run Relations Of Cointegrated Vector Autoregressive Models," Econometric Theory, Cambridge University Press, vol. 17(5), pages 889-912, October.

    Cited by:

    1. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
    2. Lightwood, James & Glantz, Stanton, 2011. "Effect of the Arizona tobacco control program on cigarette consumption and healthcare expenditures," Social Science & Medicine, Elsevier, vol. 72(2), pages 166-172, January.
    3. Hsiao, Cheng & Wang, Siyan, 2006. "Modified two-stage least-squares estimators for the estimation of a structural vector autoregressive integrated process," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 427-463.
    4. Rangarajan, C. & Srivastava, D.K., 2005. "Fiscal deficits and government debt in India: Implications for growth and stabilisation," Working Papers 05/35, National Institute of Public Finance and Policy.

  63. Hsiao, Cheng & Li, Qi, 2001. "A Consistent Test For Conditional Heteroskedasticity In Time-Series Regression Models," Econometric Theory, Cambridge University Press, vol. 17(1), pages 188-221, February.

    Cited by:

    1. Ted Juhl & Zhijie Xiao, 2009. "Tests for Changing Mean with Monotonic Power," Boston College Working Papers in Economics 709, Boston College Department of Economics.
    2. Tianshun Yan & Liping Zhang, 2020. "A comparative study of several bootstrap-based tests for the volatility in continuous-time diffusion models," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 19(1), pages 33-47, January.
    3. E Fe-Rodriguez & C D Orme, 2005. "The Asymptotic Equivalence of Kernel-based Nonparametric Conditional Moment Test Statistics," Economics Discussion Paper Series 0504, Economics, The University of Manchester.
    4. Jaeun Shin, 2005. "Stock Returns and Volatility in Emerging Stock Markets," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 4(1), pages 31-43, April.
    5. Henderson, Daniel J. & Sheehan, Alice, 2018. "Kernel-based testing with skewed and heavy-tailed data: Evidence from a nonparametric test for heteroskedasticity," Economics Letters, Elsevier, vol. 172(C), pages 8-11.
    6. E. Fe-Rodríguez & C. Orme, 2006. "On the sensitivity of Kernel-based Conditional Moment Tests to Unconsidered Local Alternatives," Economics Discussion Paper Series 0606, Economics, The University of Manchester.
    7. Jeong, Kiho & Härdle, Wolfgang Karl, 2008. "A consistent nonparametric test for causality in quantile," SFB 649 Discussion Papers 2008-007, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    8. Juhl, Ted & Xiao, Zhijie, 2005. "A nonparametric test for changing trends," Journal of Econometrics, Elsevier, vol. 127(2), pages 179-199, August.
    9. Grobys, Klaus, 2023. "A multifractal model of asset (in)variances," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).

  64. Robert Dekle & Cheng Hsiao & Siyan Wang, 2001. "Do High Interest Rates Appreciate Exchange Rates During Crisis? The Korean Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(3), pages 359-380, July.

    Cited by:

    1. Guglielmo Maria Caporale & Andrea Cipollini & Panicos Demetriades, 2003. "Monetary Policy and the Exchange Rate During the Asian Crisis: Identification Through Heteroscedasticity," CEIS Research Paper 23, Tor Vergata University, CEIS.
    2. Hsing, Yu, 2009. "Analysis of the Behavior of the New Zealand Dollar Exchange Rate: Comparison of Four Major Models," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 5(1-2), pages 1-10, March.
    3. Inci Gumus, 2002. "Effects of the Interest Rate Defense on Exchange Rates During the 1994 Crisis in Turkey," Working Papers 0214, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    4. Kerstin Bernoth & Helmut Herwartz, 2019. "Exchange Rates, Foreign Currency Exposure and Sovereign Risk," Discussion Papers of DIW Berlin 1792, DIW Berlin, German Institute for Economic Research.
    5. Yu Hsing, 2010. "Analysis of movements in the AUD/USD exchange rate: comparison of four major models," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 575-580.
    6. Erdoğan, Seyfettin & Karacan, Rıdvan & Alpaslan, Barış, 2013. "Interest Rates, Exchange Rates and Macroeconomic Performance," MPRA Paper 50838, University Library of Munich, Germany.
    7. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    8. Vincent Bouvatier, 2007. "Are International Interest Rate Differentials Driven by the Risk Premium? The Case of Asian Countries," Economics Bulletin, AccessEcon, vol. 5(6), pages 1-14.
    9. HSING, Yu, 2021. "Are The Predictions Of The Mundell-Fleming Model Applicable To Argentina?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 21(1), pages 37-48.
    10. Funashima, Yoshito, 2017. "Time-varying leads and lags across frequencies using a continuous wavelet transform approach," Economic Modelling, Elsevier, vol. 60(C), pages 24-28.
    11. João Paulo Martin Faleiros & Denisard Cnéio De Oliveira Alves, 2011. "Taxade Juros Alta Evita Ataques Especulativos Sobre O Câmbio? Umareavaliação Empírica Para 6 Países Durante O Período Entre 1975 E 2008," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 212, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Luis-Felipe Zanna, 2006. "Fighting against currency depreciation, macroeconomic instability and sudden stops," International Finance Discussion Papers 848, Board of Governors of the Federal Reserve System (U.S.).
    13. Kim, Jung-Kwan & Ratti, Ronald A., 2006. "Economic activity, foreign exchange rate, and the interest rate during the Asian crisis," Journal of Policy Modeling, Elsevier, vol. 28(4), pages 387-402, May.
    14. Yu Hsing, 2006. "Analysis of Short-term Exchange Rate Movements in Korea: Application of an Extended Mundell-Fleming Model," Global Economic Review, Taylor & Francis Journals, vol. 35(2), pages 145-151.

  65. Arguea, Nestor M. & Hsiao, Cheng, 2000. "Market Values of Environmental Amenities: A Latent Variable Approach," Journal of Housing Economics, Elsevier, vol. 9(1-2), pages 104-126, March.

    Cited by:

    1. Carlsen, Fredrik & Langset, Bjørg & Rattsø, Jørn & Stambøl, Lasse, 2009. "Using survey data to study capitalization of local public services," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 688-695, November.
    2. Alla Koblyakova & Larisa Fleishman & Orly Furman, 2022. "Accuracy of Households’ Dwelling Valuations, Housing Demand and Mortgage Decisions: Israeli Case," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 48-74, July.
    3. Tur-Sinai, Aviad & Fleishman, Larisa & Romanov, Dmitri, 2020. "The accuracy of self-reported dwelling valuation," Journal of Housing Economics, Elsevier, vol. 48(C).
    4. Aviad Tur-Sinai, 2019. "Is a Municipal Boundary a Good Stratification Variable?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1075-1098, August.

  66. Hsiao, Cheng & Wang, Q Kevin, 2000. "Estimation of Structural Nonlinear Errors-in-Variables Models by Simulated Least-Squares Method," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(2), pages 523-542, May.

    Cited by:

    1. Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
    2. Daniel Miles & Andrés Pereyra & Máximo Rossi, 2002. "The consistent estimation of income elasticity of environmental amenities in Uruguay," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 17(1), pages 67-89.
    3. Yingyao Hu & Geert Ridder, 2005. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," IEPR Working Papers 05.39, Institute of Economic Policy Research (IEPR).
    4. Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.
    5. Edgerton, David & Jochumzen, Peter, 2003. "Estimation in Binary Choice Models with Measurement Errors," Working Papers 2003:4, Lund University, Department of Economics, revised 07 Jul 2003.

  67. Robert Dekle & Cheng Hsiao & Siyan Wang, 1999. "Interest rate stabilization of exchange rates and contagion in the Asian crisis countries," Proceedings, Federal Reserve Bank of San Francisco, issue Sep.

    Cited by:

    1. Amartya Lahiri & Carlos A. Végh, 2007. "Output Costs, Currency Crises and Interest Rate Defence of a Peg," Economic Journal, Royal Economic Society, vol. 117(516), pages 216-239, January.
    2. Cho, Dongchul, 2003. "Monetary Policy During and After the Crisis in Korea," KDI Policy Studies 2003-01, Korea Development Institute (KDI).
    3. Drazen, Allan & Hubrich, Stefan, 2003. "Mixed Signals in Defending the Exchange Rate: What do the Data Say?," CEPR Discussion Papers 4050, C.E.P.R. Discussion Papers.
    4. Kam-hon CHU & Bob Y. C. Chan & Chor-yiu Sin, 2000. "Contagion Effects, Informational Effects, and Economic Fundamentals: An Analysis of Exchange Rate Dynamics during the Asian Currency Crisis," Working Papers 022000, Hong Kong Institute for Monetary Research.
    5. Shirai, Sayuri, 2009. "Imfの融資制度ーアイスランド、ウクライナ、ラトビア、ハンガリーのケースをもとにして [IMF Financing Systems-Based on the Cases of Iceland, Ukraine, Latvia, and Hungary]," MPRA Paper 14723, University Library of Munich, Germany.
    6. David M. Gould & Steven B. Kamin, 1999. "The impact of monetary policy on exchange rates during financial crises," Proceedings, Federal Reserve Bank of San Francisco, issue Sep.
    7. Amartya Lahiri & Carlos A. Vegh, 2000. "Delaying the Inevitable: Optimal Interest Rate Policy and BOP Crises," NBER Working Papers 7734, National Bureau of Economic Research, Inc.
    8. Ramon Moreno & Bharat Trehan, 2000. "Common shocks and currency crises," Working Paper Series 2000-05, Federal Reserve Bank of San Francisco.
    9. Dongchul Cho & Kenneth D. West, 2003. "Interest Rates and Exchange Rates in the Korean, Philippine, and Thai Exchange Rate Crises," NBER Chapters, in: Managing Currency Crises in Emerging Markets, pages 11-35, National Bureau of Economic Research, Inc.
    10. Peter Kehinde, Mogaji, 2017. "Empirical Assessment of Exchange Market Pressure within the West African Monetary Zone," MPRA Paper 98771, University Library of Munich, Germany.
    11. Saikkonen, Pentti & Choi, In, 2000. "Cointegrating smooth transition regressions with applications to the Asian currency crisis," SFB 373 Discussion Papers 2000,98, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  68. Hsiao, Cheng & Fujiki, Hiroshi, 1998. "Nonstationary Time-Series Modeling versus Structural Equation Modeling: With an Application to Japanese Money Demand," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 16(1), pages 57-79, May.

    Cited by:

    1. Umanath Malaiarasan & R. Paramasivam & K. Thomas Felix & S. J. Balaji, 2020. "Simultaneous equation model for Indian sugar sector," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 113-141, June.
    2. Daigneault, Adam J. & Sohngen, Brent & Kim, Sei Jin, 2016. "Estimating welfare effects from supply shocks with dynamic factor demand models," Forest Policy and Economics, Elsevier, vol. 73(C), pages 41-51.
    3. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    4. Tang, Tuck Cheong, 2004. "Demand for broad money and expenditure components in Japan: an empirical study," Japan and the World Economy, Elsevier, vol. 16(4), pages 487-502, December.
    5. Shiratsuka, Shigenori, 2001. "Is There a Desirable Rate of Inflation? A Theoretical and Empirical Survey," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 19(2), pages 49-83, May.

  69. Hsiao, Cheng & Nugent, Jeffrey & Perrigne, Isabelle & Qiu, Jicheng, 1998. "Shares versus Residual Claimant Contracts: The Case of Chinese TVEs," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 317-337, June.

    Cited by:

    1. Minggao Shen & Jikun Huang & Linxiu Zhang & Scott Rozelle, 2010. "Financial reform and transition in China: a study of the evolution of banks in rural China," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(3), pages 305-332, November.
    2. Jihua Che, 2002. "Rent Seeking and Government Ownership of Firms: An Application to China???s Township-Village Enterprises," William Davidson Institute Working Papers Series 497, William Davidson Institute at the University of Michigan.
    3. Lu, Jiangyong & Tao, Zhigang & Yang, Zhi, 2010. "The costs and benefits of government control: Evidence from China's collectively-owned enterprises," China Economic Review, Elsevier, vol. 21(2), pages 282-292, June.
    4. Richard J. Volpe & Timothy A. Park & Fengxia Dong & Helen H. Jensen, 2016. "Somatic cell counts in dairy marketing: quantile regression for count data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(2), pages 331-358.
    5. Sonobe, Tetsushi & Hu, Dinghuan & Otsuka, Keijiro, 2006. "Industrial development in the inland region of China: A case study of the motorcycle industry," Journal of Comparative Economics, Elsevier, vol. 34(4), pages 818-838, December.
    6. Ananish Chaudhuri & Pushkar Maitra, 1997. "Determinants of Land Tenure Contracts; Theory and Evidence from Rural India," Departmental Working Papers 199710, Rutgers University, Department of Economics.
    7. Jiahua Che, 2002. "From the Grabbing Hand to the Helping Hand: A Rent Seeking Model of China's Township-Village Enterprises," WIDER Working Paper Series DP2002-13, World Institute for Development Economic Research (UNU-WIDER).
    8. Chongwoo Choe & Xiangkang Yin, 1998. "Contract Management Responsibility System and Profit Incentives in China's State-Owned Enterprises," Working Papers 1998.06, School of Economics, La Trobe University.
    9. Tetsushi Sonobe & Keijiro Otsuka, 2004. "Productivity Effects of TVE Privatization: The Case Study of Garment and Metal-Casting Enterprises in the Greater Yangtze River Region," NBER Chapters, in: Governance, Regulation, and Privatization in the Asia-Pacific Region, pages 231-247, National Bureau of Economic Research, Inc.
    10. Ananish Chaudhuri, 1997. "A Dynamic Model of Contractual Choice in Tenancy," Departmental Working Papers 199711, Rutgers University, Department of Economics.
    11. Qin, Zhong, 2011. "Models of trust-sharing in Chinese private enterprises," Economic Modelling, Elsevier, vol. 28(3), pages 1017-1029, May.
    12. Liu, Deqiang & Otsuka, Keijiro, 2004. "A Comparison of Management Incentives, Abilities, and Efficiency between SOEs and TVEs: The Case of the Iron and Steel Industry in China," Economic Development and Cultural Change, University of Chicago Press, vol. 52(4), pages 759-780, July.
    13. Richard Volpe, 2014. "Supercenters, Unionized Labor, and Performance in Food Retail," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 53(2), pages 325-355, April.
    14. Tian, Guoqiang, 2000. "Property Rights and the Nature of Chinese Collective Enterprises," Journal of Comparative Economics, Elsevier, vol. 28(2), pages 247-268, June.
    15. Kung, James Kai-sing & Lin, Yi-min, 2007. "The Decline of Township-and-Village Enterprises in China's Economic Transition," World Development, Elsevier, vol. 35(4), pages 569-584, April.
    16. Chen, Hongyi & Rozelle, Scott, 1999. "Leaders, managers, and the organization of township and village enterprises in China," Journal of Development Economics, Elsevier, vol. 60(2), pages 529-557, December.
    17. Ananish Chaudhuri & Pushkar Maitra, 2001. "Tenant characteristics and the choice of tenurial contracts in rural India," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(2), pages 169-181.
    18. Sandeep Mohapatra & Rachael Goodhue & Scott Rozelle, 2008. "Incentive Complementarity in China’s Rural Enterprises," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(1), pages 63-79, August.

  70. Li, Q. & Hsiao, C., 1998. "Testing serial correlation in semiparametric panel data models," Journal of Econometrics, Elsevier, vol. 87(2), pages 207-237, September.

    Cited by:

    1. Li, Kui-Wai & Zhou, Xianbo, 2010. "Openness, domestic performance and growth," Economics Letters, Elsevier, vol. 107(1), pages 13-16, April.
    2. Daniel L. Millimet & John A. List & Thanasis Stengos, 2003. "The Environmental Kuznets Curve: Real Progress or Misspecified Models?," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1038-1047, November.
    3. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    4. Jiti Gao & Maxwell King, 2011. "A New Test in Parametric Linear Models against Nonparametric Autoregressive Errors," Monash Econometrics and Business Statistics Working Papers 20/11, Monash University, Department of Econometrics and Business Statistics.
    5. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    6. Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
    7. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    8. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    9. Neckermann, Susanne & Cueni, Reto & Frey, Bruno S., 2012. "Awards at work," ZEW Discussion Papers 12-004, ZEW - Leibniz Centre for European Economic Research.
    10. Kui-Wai Li, 2014. "An analysis on economic opportunity," Applied Economics, Taylor & Francis Journals, vol. 46(33), pages 4060-4074, November.
    11. Green, Carl & Long, Wei & Hsiao, Cheng, 2015. "Testing error serial correlation in fixed effects nonparametric panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 466-473.
    12. Tianyong Zhang & Demei Yuan & Jiali Ma & Xuemei Hu, 2017. "Assessing white noise assumption with semi-parametric additive partial linear models," Statistical Papers, Springer, vol. 58(2), pages 417-431, June.
    13. Gao, Jiti & King, Maxwell, 2003. "Estimation and model specification testing in nonparametric and semiparametric econometric models," MPRA Paper 11989, University Library of Munich, Germany, revised Feb 2006.
    14. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    15. Polemis, Michael L. & Stengos, Thanasis, 2015. "Does market structure affect labour productivity and wages? Evidence from a smooth coefficient semiparametric panel model," Economics Letters, Elsevier, vol. 137(C), pages 182-186.
    16. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    17. König, Anja, 1997. "Schätzen und Testen in semiparametrischen partiell linearen Modellen für die Paneldatenanalyse," Hannover Economic Papers (HEP) dp-208, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    18. Cai, Zongwu & Li, Qi, 2008. "Nonparametric Estimation Of Varying Coefficient Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1321-1342, October.
    19. Hu, Xuemei & Wang, Zhizhong & Liu, Feng, 2008. "Zero finite-order serial correlation test in a semi-parametric varying-coefficient partially linear errors-in-variables model," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1560-1569, September.
    20. Neophyta Empora & Theofanis Mamuneas, 2011. "The Effect of Emissions on U.S. State Total Factor Productivity Growth," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 3(2), pages 149-172, October.
    21. Baltagi, Badi H. & Li, Qi, 2002. "On instrumental variable estimation of semiparametric dynamic panel data models," Economics Letters, Elsevier, vol. 76(1), pages 1-9, June.
    22. Neophyta Empora, 2017. "Air pollution spillovers and U.S. state productivity growth," University of Cyprus Working Papers in Economics 06-2017, University of Cyprus Department of Economics.
    23. Susanne Neckermann & Reto Cueni & Bruno S. Frey, 2009. "What is an Award Worth? An Econometric Assessment of the Impact of Awards on Employee Performance," CESifo Working Paper Series 2657, CESifo.
    24. Dingding Li & Thanasis Stengos, 2003. "Testing Serial Correlation in Semiparametric Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(3), pages 311-335, May.

  71. Hsiao, Cheng & Sun, Bao-Hong, 1998. "Modeling survey response bias - with an analysis of the demand for an advanced electronic device," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 15-39, November.

    Cited by:

    1. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Koert Van Ittersum, 2012. "The effect of decision makers’ time perspective on intention–behavior consistency," Marketing Letters, Springer, vol. 23(1), pages 263-277, March.
    3. Peter Moffatt & Simon Peters, 2001. "Testing for the Presence of a Tremble in Economic Experiments," Experimental Economics, Springer;Economic Science Association, vol. 4(3), pages 221-228, December.
    4. Lee, Choong-Ki & Mjelde, James W. & Kim, Tae-Kyun & Lee, Hye-Mi, 2014. "Estimating the intention–behavior gap associated with a mega event: The case of the Expo 2012 Yeosu Korea," Tourism Management, Elsevier, vol. 41(C), pages 168-177.
    5. Joo Heon Park & Douglas L. MacLachlan, 2008. "Estimating Willingness to Pay with Exaggeration Bias-Corrected Contingent Valuation Method," Marketing Science, INFORMS, vol. 27(4), pages 691-698, 07-08.
    6. Li, Tong & Hsiao, Cheng, 2004. "Robust estimation of generalized linear models with measurement errors," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 51-65.
    7. Rosalie Viney & Marion Haas & Rochelle Belkar & Denzil G. Fiebig, 2004. "Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer," Econometric Society 2004 Australasian Meetings 109, Econometric Society.
    8. Ke-Wei Huang, 2009. "Optimal criteria for selecting price discrimination metrics when buyers have log-normally distributed willingness-to-pay," Quantitative Marketing and Economics (QME), Springer, vol. 7(3), pages 321-341, September.
    9. Wing-Keung Wong & Guorui Bian, 2005. "Robust Estimation of Multiple Regression Model with Non-normal Error: Symmetric Distribution," Monash Economics Working Papers 09/05, Monash University, Department of Economics.

  72. Cheng Hsiao, 1997. "Cointegration and Dynamic Simultaneous Equations Model," Econometrica, Econometric Society, vol. 65(3), pages 647-670, May.

    Cited by:

    1. Abdul Karim, Zulkefly & Md. Said, Fathin Faezah & Jusoh, Mansor & Md. Thahir, Md. Zyadi, 2009. "Monetary policy and inflation targeting in a small open-economy," MPRA Paper 23949, University Library of Munich, Germany, revised 10 Jan 2010.
    2. Jaebeom Kim & Masao Ogaki & Minseok Yang, 2007. "Structural Error Correction Models: A System Method for Linear Rational Expectations Models and an Application to an Exchange Rate Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2057-2075, December.
    3. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2004. "Aggregate vs Disaggregate Data Analysis — A Paradox in the Estimation of a Money Demand Function of Japan Under the Low Interest Rate Policy," IEPR Working Papers 04.1, Institute of Economic Policy Research (IEPR).
    4. Kapteyn, A. & Kalwij, A.S. & Zaidi, M.A., 2000. "The Myth of Worksharing," Discussion Paper 2000-23, Tilburg University, Center for Economic Research.
    5. Andrew J. Hill & Johannes W. Fedderke, 2006. "Industry Structure and Labour Market Flexibility in the South African Manufacturing Sector: A Time Series and Panel Data Approach," Working Papers 043, Economic Research Southern Africa.
    6. D. S. Poskitt, 2004. "On The Identification and Estimation of Partially Nonstationary ARMAX Systems," Monash Econometrics and Business Statistics Working Papers 20/04, Monash University, Department of Econometrics and Business Statistics.
    7. Zhai, Jun & Kuusela, Olli-Pekka, 2023. "An econometric study of Oregon's log and lumber markets: Estimation of price elasticities using two approaches," Forest Policy and Economics, Elsevier, vol. 149(C).
    8. K Alec Chrystal & Paul Mizen, 2001. "Consumption, money and lending: a joint model for the UK household sector," Bank of England working papers 134, Bank of England.
    9. Petter Vegard Hansen & Lars Lindholt, 2008. "The market power of OPEC 1973-2001," Applied Economics, Taylor & Francis Journals, vol. 40(22), pages 2939-2959.
    10. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
    11. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    12. Andras Tothmihaly, 2017. "How low is the price elasticity in the global cocoa market?," GlobalFood Discussion Papers 258587, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    13. Wai Ching Poon, 2010. "Augmented MCi: AN Indicator Of Monetary Policy Stance For ASEAN-5?," Monash Economics Working Papers 25-10, Monash University, Department of Economics.
    14. Umanath Malaiarasan & R. Paramasivam & K. Thomas Felix & S. J. Balaji, 2020. "Simultaneous equation model for Indian sugar sector," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 113-141, June.
    15. V. Pandit, 2008. "Structural Modeling under Challenge," Working Papers id:1622, eSocialSciences.
    16. Labson, B. Stephen & Rausser, Gordon C., 1992. "Modeling Phased Reduction of Distortionary Policies in the U.S. Wheat Market Under Alternative Macroeconomic Environments," Staff General Research Papers Archive 502, Iowa State University, Department of Economics.
    17. Wai-Ching Poon, 2010. "A monetary policy rule: The augmented Monetary Conditions Index for Philippines using UECM and bounds tests," Monash Economics Working Papers 04-10, Monash University, Department of Economics.
    18. Chee‐Ruey Hsieh & Teh‐Wei Hu & Chien‐Fu Jeff Lin, 1999. "The Demand For Cigarettes In Taiwan: Domestic Versus Imported Cigarettes," Contemporary Economic Policy, Western Economic Association International, vol. 17(2), pages 223-234, April.
    19. Daigneault, Adam J. & Sohngen, Brent & Kim, Sei Jin, 2016. "Estimating welfare effects from supply shocks with dynamic factor demand models," Forest Policy and Economics, Elsevier, vol. 73(C), pages 41-51.
    20. Golinelli, Roberto & Rovelli, Riccardo, 2005. "Monetary policy transmission, interest rate rules and inflation targeting in three transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 183-201, January.
    21. Considine, Timothy J., 2018. "Estimating concave substitution possibilities with non-stationary data using the dynamic linear logit demand model," Economic Modelling, Elsevier, vol. 72(C), pages 22-30.
    22. C. S. C. Sekhar, 2010. "Structure of the World Wheat Market: Some Implications for Strategic Trade Policy?," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(2), pages 142-158.
    23. Pami Dua, 2009. "Determination of Inflation in an Open Economy Phillips Curve Framework: The Case of Developed and Developing Asian Countries," Working Papers id:1973, eSocialSciences.
    24. Borzykowski, Nicolas, 2017. "The Swiss market for construction wood : estimating elasticities with time series simultaneous equations," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258659, Agricultural Economics Society.
    25. In Choi & Peter C.B. Phillips, 1997. "Regressions for Partially Identified, Cointegrated Simultaneous Equations," Cowles Foundation Discussion Papers 1162, Cowles Foundation for Research in Economics, Yale University.
    26. Keshab Shrestha & Kok Tan, 2005. "Real Interest Rate Parity: Long-Run and Short-Run Analysis Using Wavelets," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 139-157, September.
    27. Dincecco, Mark & Katz, Gabriel, 2012. "State Capacity and Long-Run Performance," MPRA Paper 38299, University Library of Munich, Germany.
    28. Bornali Bhandari, 2013. "Cross-Price Effects and US Trade Elasticities," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(3), pages 273-313, August.
    29. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    30. Heejoon Kang, 1999. "The Applied Cointegration Analysis for the Open Economy: A Critical Review," Open Economies Review, Springer, vol. 10(3), pages 325-346, July.
    31. Moreira, Tito Belchior Silva & Souza, Geraldo Silva & Ellery, Roberto, 2013. "An Evaluation of the tolerant to higher inflation rate in the short run by the Brazilian Central Bank in the period 2001-2012," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    32. Fedderke, J. W. & Liu, W., 2002. "Modelling the determinants of capital flows and capital flight: with an application to South African data from 1960 to 1995," Economic Modelling, Elsevier, vol. 19(3), pages 419-444, May.
    33. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    34. Jeffrey D. McDonald & Daniel A. Sumner, 2003. "The Influence of Commodity Programs on Acreage Response to Market Price: With an Illustration Concerning Rice Policy in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 857-871.
    35. Dinica, Mihai Cristian & Armeanu, Daniel, 2014. "The Optimal Hedging Ratio for Non-Ferrous Metals," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 105-122, March.
    36. Kim, In-Moo & Park, Joon Y., 2005. "Iterative Maximum Likelihood Estimation of Cointegrating Vectors," Working Papers 2005-02, Rice University, Department of Economics.
    37. Shabtai Donnenfeld & Alfred A. Haug, 2001. "Currency Invoicing of U.S. Imports," Working Papers 2002_11, York University, Department of Economics, revised Apr 2002.
    38. Eric Hillebrand & Faik Koray, 2008. "Interest rate volatility and home mortgage loans," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2381-2385.
    39. Chen Pu & Flaschel Peter, 2006. "Measuring the Interaction of Wage and Price Phillips Curves for the U.S. Economy," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-35, December.
    40. Ragnar Nymoen, 2017. "Between Institutions and Global Forces: Norwegian Wage Formation Since Industrialisation," Econometrics, MDPI, vol. 5(1), pages 1-54, January.
    41. Sanjib Bhuyan, 2014. "Visiting an old battleground in empirical industrial organization: SCP versus NEIO," Applied Economics Letters, Taylor & Francis Journals, vol. 21(11), pages 751-754, July.
    42. Parajuli, Rajan & Zhang, Daowei & Chang, Sun Joseph, 2016. "Modeling stumpage markets using vector error correction vs. simultaneous equation estimation approach: A case of the Louisiana sawtimber market," Forest Policy and Economics, Elsevier, vol. 70(C), pages 16-19.
    43. Biørn, Erik, 2012. "An Econometric Market Model of Capital and Investment Inspired by Haavelmo," Memorandum 11/2012, Oslo University, Department of Economics.
    44. Dua, Pami & Kapur, Hema, 2018. "Macro stress testing and resilience assessment of Indian banking," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 452-475.
    45. Ragnar Nymoen & Victoria Sparrman & Bjorn Dapi, 2019. "Robustness of the Norwegian wage formation system and free EU labour movement. Evidence from wage data for natives," Discussion Papers 895, Statistics Norway, Research Department.
    46. Sasa OBRADOVIĆ & Nemanja LOJANICA, 2019. "Export-Led Growth: Evidence from Post-Communist Serbia," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 131-145, June.
    47. Davidson, James, 1998. "Structural relations, cointegration and identification: some simple results and their application," Journal of Econometrics, Elsevier, vol. 87(1), pages 87-113, August.
    48. V. Pandit, 2001. "Structural Modelling Under Challenge," Working papers 98, Centre for Development Economics, Delhi School of Economics.
    49. Antoni, 2012. "Monetary policy and inflation targeting in a small open economy," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 4(2), pages 187-198, April.
    50. Annie Corbin, 2004. "Capital mobility and adjustment of the current account imbalances: a bounds testing approach to cointegration in 12 countries (1880-2001)," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 257-276.
    51. Pu Chen & Joachim Frohn, 2006. "On the Specification and Estimation of Large Scale Simultaneous Structural Models," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 2, pages 7-24, Springer.
    52. Krishnakumar, Jaya, 2001. "A short comment on the JE Open forum essays," Journal of Econometrics, Elsevier, vol. 100(1), pages 77-78, January.
    53. Wai Ching Poon, 2010. "Testing Transmission Mechanisms on Economic Growth in Malaysia," Monash Economics Working Papers 26-10, Monash University, Department of Economics.
    54. Jaebeom Kim & Masao Ogaki & Minseok Yang, 2003. "Structural Error Correction Models: Instrumental Variables Methods and an application to an exchange rate model," RCER Working Papers 502, University of Rochester - Center for Economic Research (RCER).
    55. Price, Simon & Nasim, Anjum, 1998. "Modelling inflation and the demand for money in Pakistan; cointegration and the causal structure," Economic Modelling, Elsevier, vol. 16(1), pages 87-103, January.
    56. Fabio Bacchini, Maria Elena Bontempi, Cristina Brandimarte, Roberto Golinelli, Cecilia Jona-Lasinio, Carmine Pappalardo, 2013. "The Macroeconometric Models For Italy (Memo-It): Policy Evaluation And Future Challanges," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(2), pages 172-179, April-Jun.
    57. Wai-Ching Poon, 2008. "Does Credit Channel Matter in the Conduct of Monetary Policy in Singapore?," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(3), pages 40-50, August.
    58. Juhl, Ted & Xiao, Zhijie, 2005. "Testing for cointegration using partially linear models," Journal of Econometrics, Elsevier, vol. 124(2), pages 363-394, February.
    59. Megumi Kubota, "undated". "Real Exchange Rate Misalignments: Theoretical Modelling and Empirical Evidence," Discussion Papers 09/24, Department of Economics, University of York.
    60. Dutkowsky, Donald H. & McCoskey, Suzanne K., 2001. "Near integration, bank reluctance, and discount window borrowing," Journal of Banking & Finance, Elsevier, vol. 25(6), pages 1013-1036, June.
    61. Sekhar, C. S. C., 2003. "Price formation in world wheat markets -- implications for policy," Journal of Policy Modeling, Elsevier, vol. 25(1), pages 85-106, January.

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    Cited by:

    1. Abdul Karim, Zulkefly & Md. Said, Fathin Faezah & Jusoh, Mansor & Md. Thahir, Md. Zyadi, 2009. "Monetary policy and inflation targeting in a small open-economy," MPRA Paper 23949, University Library of Munich, Germany, revised 10 Jan 2010.
    2. Torfinn Harding & Frederick van der Ploeg, 2012. "Official forecasts and management of oil windfalls," Discussion Papers 676, Statistics Norway, Research Department.
    3. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2004. "Aggregate vs Disaggregate Data Analysis — A Paradox in the Estimation of a Money Demand Function of Japan Under the Low Interest Rate Policy," IEPR Working Papers 04.1, Institute of Economic Policy Research (IEPR).
    4. Sarah Wheeler & Henning Bjornlund & Martin Shanahan & Alec Zuo, 2008. "Price elasticity of water allocations demand in the Goulburn-Murray Irrigation District ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(1), pages 37-55, March.
    5. Zhai, Jun & Kuusela, Olli-Pekka, 2023. "An econometric study of Oregon's log and lumber markets: Estimation of price elasticities using two approaches," Forest Policy and Economics, Elsevier, vol. 149(C).
    6. Daniel Borowczyk-Martins & Grégory Jolivet & Fabien Postel-Vinay, 2013. "Accounting for Endogeneity in Matching Function Estimation," Post-Print hal-03473875, HAL.
    7. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
    8. Borowczyk-Martins, Daniel & Jolivet, Grégory & Postel-Vinay, Fabien, 2011. "Accounting For Endogenous Search Behavior in Matching Function Estimation," IZA Discussion Papers 5807, Institute of Labor Economics (IZA).
    9. Parajuli, Rajan & Sarangi, Sudipta & Chang, Sun Joseph & Hill, R. Carter, 2016. "The United States-Canada softwood lumber trade: An actual versus optimal export tax," Forest Policy and Economics, Elsevier, vol. 73(C), pages 112-119.
    10. Roberto Golinelli, 1998. "Fatti stilizzati e metodi econometrici "moderni": una rivisitazione della curva di Phillips per l'Italia (1951-1996)," Politica economica, Società editrice il Mulino, issue 3, pages 411-446.
    11. Barnett, William A. & de Peretti, Philippe, 2008. "Admissible clustering of aggregator components: a necessary and sufficient stochastic semi-nonparametric test for weak separability," MPRA Paper 12503, University Library of Munich, Germany.
    12. Andras Tothmihaly, 2017. "How low is the price elasticity in the global cocoa market?," GlobalFood Discussion Papers 258587, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    13. Rolando Einar Paz Rodriguez, 2019. "La función de emparejamiento agregada del mercado laboral chileno," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 34(1), pages 85-110, April.
    14. Bo Wei & Limin Peng & Mei‐Jie Zhang & Jason P. Fine, 2021. "Estimation of causal quantile effects with a binary instrumental variable and censored data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 559-578, July.
    15. V. Pandit, 2008. "Structural Modeling under Challenge," Working Papers id:1622, eSocialSciences.
    16. Daigneault, Adam J. & Sohngen, Brent & Kim, Sei Jin, 2016. "Estimating welfare effects from supply shocks with dynamic factor demand models," Forest Policy and Economics, Elsevier, vol. 73(C), pages 41-51.
    17. Golinelli, Roberto & Rovelli, Riccardo, 2005. "Monetary policy transmission, interest rate rules and inflation targeting in three transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 183-201, January.
    18. Anthony Venables & Torfinn Harding, 2013. "The Implications of Natural Resource Exports for Non-Resource Trade," OxCarre Working Papers 103, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    19. Borzykowski, Nicolas, 2017. "The Swiss market for construction wood : estimating elasticities with time series simultaneous equations," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258659, Agricultural Economics Society.
    20. Rose, Christiern, 2016. "The War on Drugs: An Analysis of the Effects of Supply Disruption on Prices and Purity," TSE Working Papers 16-643, Toulouse School of Economics (TSE).
    21. Li Chen & Jiti Gao & Farshid Vahid, 2019. "Global Temperatures and Greenhouse Gases: A Common Features Approach," Monash Econometrics and Business Statistics Working Papers 23/19, Monash University, Department of Econometrics and Business Statistics.
    22. Christis Katsouris, 2023. "Structural Analysis of Vector Autoregressive Models," Papers 2312.06402, arXiv.org, revised Feb 2024.
    23. Martin-Mayoral, Fernando & Proaño, Maria Belén, 2012. "Las remesas en América Latina, ¿amenaza u oportunidad? [Remittances in Latin America, a threat or an opportunity?]," MPRA Paper 43730, University Library of Munich, Germany.
    24. Bornali Bhandari, 2013. "Cross-Price Effects and US Trade Elasticities," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(3), pages 273-313, August.
    25. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    26. Akbar, Muhammad & Jamil, Faisal, 2012. "Monetary and fiscal policies' effect on agricultural growth: GMM estimation and simulation analysis," Economic Modelling, Elsevier, vol. 29(5), pages 1909-1920.
    27. Natsuko Iwasaki & Barry Seldon & Victor Tremblay, 2008. "Brewing Wars of Attrition for Profit (and Concentration)," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 263-279, December.
    28. Hsiao, Cheng & Wang, Siyan, 2006. "Modified two-stage least-squares estimators for the estimation of a structural vector autoregressive integrated process," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 427-463.
    29. Moreira, Tito Belchior Silva & Souza, Geraldo Silva & Ellery, Roberto, 2013. "An Evaluation of the tolerant to higher inflation rate in the short run by the Brazilian Central Bank in the period 2001-2012," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    30. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    31. Jeffrey D. McDonald & Daniel A. Sumner, 2003. "The Influence of Commodity Programs on Acreage Response to Market Price: With an Illustration Concerning Rice Policy in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 857-871.
    32. Eric Hillebrand & Faik Koray, 2008. "Interest rate volatility and home mortgage loans," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2381-2385.
    33. Parajuli, Rajan & Zhang, Daowei & Chang, Sun Joseph, 2016. "Modeling stumpage markets using vector error correction vs. simultaneous equation estimation approach: A case of the Louisiana sawtimber market," Forest Policy and Economics, Elsevier, vol. 70(C), pages 16-19.
    34. Hsiao, Cheng & Fujiki, Hiroshi, 1998. "Nonstationary Time-Series Modeling versus Structural Equation Modeling: With an Application to Japanese Money Demand," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 16(1), pages 57-79, May.
    35. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    36. Dua, Pami & Kapur, Hema, 2018. "Macro stress testing and resilience assessment of Indian banking," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 452-475.
    37. Christis Katsouris, 2023. "Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models," Papers 2311.08218, arXiv.org, revised Apr 2024.
    38. Norah Al-Ballaa, 2005. "Test for cointegration based on two-stage least squares," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(7), pages 707-713.
    39. V. Pandit, 2001. "Structural Modelling Under Challenge," Working papers 98, Centre for Development Economics, Delhi School of Economics.
    40. Antoni, 2012. "Monetary policy and inflation targeting in a small open economy," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 4(2), pages 187-198, April.
    41. Price, Simon & Nasim, Anjum, 1998. "Modelling inflation and the demand for money in Pakistan; cointegration and the causal structure," Economic Modelling, Elsevier, vol. 16(1), pages 87-103, January.
    42. Fabio Bacchini, Maria Elena Bontempi, Cristina Brandimarte, Roberto Golinelli, Cecilia Jona-Lasinio, Carmine Pappalardo, 2013. "The Macroeconometric Models For Italy (Memo-It): Policy Evaluation And Future Challanges," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(2), pages 172-179, April-Jun.
    43. Calderon,Cesar & Loayza,Norman V. & Serven,Luis, 2003. "Do capital flows respond to risk and return?," Policy Research Working Paper Series 3059, The World Bank.
    44. Moreira, Tito Belchior S., 2011. "Brazil: an empirical study on fiscal policy transmission," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    45. Sekhar, C. S. C., 2003. "Price formation in world wheat markets -- implications for policy," Journal of Policy Modeling, Elsevier, vol. 25(1), pages 85-106, January.
    46. R. Golinelli, 1998. "Fatti stilizzati e metodi econometrici "Moderni": una rivalutazione della Curva di Phillips per l'Italia (1951-1996)," Working Papers 313, Dipartimento Scienze Economiche, Universita' di Bologna.

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    Cited by:

    1. Wellmann, Nicolas, 2017. "OTT-Messaging and Mobile Telecommunication: A Joint Market? An Empirical Approach," 28th European Regional ITS Conference, Passau 2017 169503, International Telecommunications Society (ITS).
    2. Basalisco, Bruno, 2012. "The effect of user interaction on the demand for mobile text messages: Evidence from cross-country data," Information Economics and Policy, Elsevier, vol. 24(2), pages 132-144.
    3. Garin-Munoz, Teresa & Perez-Amaral, Teodosio, 1998. "Econometric modelling of Spanish very long distance international calling," Information Economics and Policy, Elsevier, vol. 10(2), pages 237-252, June.
    4. Amaral, Teodosio Perez & Gonzalez, Francisco Alvarez & Jimenez, Bernardo Moreno, 1995. "Business telephone traffic demand in Spain: 1980-1991, an econometric approach," Information Economics and Policy, Elsevier, vol. 7(2), pages 115-134, June.
    5. Karikari, John A. & Gyimah-Brempong, Kwabena, 1999. "Demand for international telephone services between US and Africa," Information Economics and Policy, Elsevier, vol. 11(4), pages 407-435, December.
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    1. Döpke, Jörg & Gern, Klaus-Jürgen & Schatz, Klaus-Werner & Scheide, Joachim & Solveen, Ralph, 1993. "Geldpolitik in den Industrieländern auf Anregung der Konjunktur bedacht," Open Access Publications from Kiel Institute for the World Economy 1573, Kiel Institute for the World Economy (IfW Kiel).
    2. Francis, Brian M. & Moseley, Leo & Iyare, Sunday Osaretin, 2007. "Energy consumption and projected growth in selected Caribbean countries," Energy Economics, Elsevier, vol. 29(6), pages 1224-1232, November.
    3. Chang, Tsangyao & Nieh, Chien-Chung, 2004. "A note on testing the causal link between construction activity and economic growth in Taiwan," Journal of Asian Economics, Elsevier, vol. 15(3), pages 591-598, June.
    4. Ling T. He, 1998. "Cointegration and Price Discovery between Equity and Mortgage REITs," Journal of Real Estate Research, American Real Estate Society, vol. 16(3), pages 327-338.
    5. Manish K. Singh & Marta Gómez-Puig & Simón Sosvilla-Rivero, 2024. "Quantifying sovereign risk in the euro area," IREA Working Papers 202403, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    6. Katircioglu, Salih Turan & Feridun, Mete, 2010. "Do macroeconomic fundamentals affect exchange market pressure? Evidence from bounds testing approach for Turkey," Greenwich Papers in Political Economy 7916, University of Greenwich, Greenwich Political Economy Research Centre.
    7. Magdalena Osinska, 2011. "On the Interpretation of Causality in Granger’s Sense," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 129-140.
    8. Nauros F. Campos & Jeffrey B. Nugent, 2000. "Investment and Instability," William Davidson Institute Working Papers Series 337, William Davidson Institute at the University of Michigan.
    9. Krämer, Jörg W., 1994. "Zinsgewichtete Geldmengenaggregate und wirtschaftliche Aktivität," Kiel Working Papers 656, Kiel Institute for the World Economy (IfW Kiel).
    10. Nauro F. Campos & Jeffrey B. Nugent, 2000. "Who is Afraid of Political Instability?," William Davidson Institute Working Papers Series 326, William Davidson Institute at the University of Michigan.
    11. Salih Turan Katırcıoglu & Sami Fethı & Meryem Duygun Fethı, 2009. "Twin deficits phenomenon in small islands: an empirical investigation by panel data analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 16(15), pages 1569-1573.
    12. Hwanjoon Kim, 2000. "Do Welfare States Reduce Poverty? A Critical Shortcoming in the Standard Analysis of the Anti-Poverty Effect of Welfare States," LIS Working papers 233, LIS Cross-National Data Center in Luxembourg.
    13. Scheide, Joachim, 1982. "Geldpolitik, Einkommen und Preisniveau: Kausalitätstests für die Bundesrepublik Deutschland," Kiel Working Papers 135, Kiel Institute for the World Economy (IfW Kiel).
    14. Aka, F.B. & Decaluwé, B., 1999. "Causality and Comovement between Tax Rate and Budget Deficits: Further Evidence from Developing Countries," Cahiers de recherche 9911, Université Laval - Département d'économique.
    15. Elif Akben & Gökhan Özertan & Aslýhan D. Spaulding, 2008. "Are the Asian Equity Markets more Interdependent after the Financial Crisis?," Economics Bulletin, AccessEcon, vol. 6(16), pages 1-7.
    16. Tsangyao Chang & Wenshwo Fang & Li-Fang Wen, 2001. "Energy consumption, employment, output, and temporal causality: evidence from Taiwan based on cointegration and error-correction modelling techniques," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 1045-1056.
    17. Tsangyao Chang & WentRong Liu & Michael Thompson, 2002. "The Viability of Fiscal Policy in South Korea, Taiwan, and Thailand," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0209, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    18. Julian M. Alston & James A. Chalfant, 1987. "A Note on Causality Between Money, Wages and Prices in Australia," The Economic Record, The Economic Society of Australia, vol. 63(2), pages 115-119, June.
    19. Maurizio Baussola, 2000. "The Causality Between R&D And Investment," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(4), pages 385-399.
    20. Hui-Boon Tan & Eng Tuck Cheah & Johnnie Johnson & Ming-Chien Sung & Chong Hin Chuah, 2011. "Stock Market Capitalization and Financial Integration in the Asia Pacific Region," Post-Print hal-00684298, HAL.
    21. George W. Gallinger, 1994. "Causality Tests Of The Real Stock Return-Real Activity Hypothesis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(2), pages 271-288, June.
    22. Omar Licandro, 1992. "Investissement, incertitude de la demande et contraintes de capacités David de la Croix," Économie et Prévision, Programme National Persée, vol. 106(5), pages 85-95.
    23. Ghosh, Suvankar & Troutt, Marvin D. & Thornton, John H. & Felix Offodile, O., 2010. "An empirical method for assessing the research relevance gap," European Journal of Operational Research, Elsevier, vol. 201(3), pages 942-948, March.
    24. Willem H. Buiter, 1981. "Granger-Causality and Stabilization Policy," NBER Technical Working Papers 0010, National Bureau of Economic Research, Inc.
    25. Sarker, Rakhal, 1990. "Testing Causality in Economics: A Review," Department of Agricultural Economics and Business 258629, University of Guelph.
    26. Looney, Robert E., 1997. "Infrastructure and private sector investment in Pakistan," Journal of Asian Economics, Elsevier, vol. 8(3), pages 393-420.
    27. T. Chang & W. Fang & W. Liu & Thompson Henry, 2000. "Exports, Imports and Income in Taiwan: An Examination of the Export Led Growth Hypothesis," International Economic Journal, Taylor & Francis Journals, vol. 14(2), pages 151-160.
    28. Cook, Steven, 2007. "On the relationship between mergers and economic activity: Evidence from an optimised hybrid method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 628-634.
    29. Sospeter N. Onchoke & Francis In, 1998. "An evaluation of export revenues as determinants of economic growth in the South Pacific island nations," Journal of International Development, John Wiley & Sons, Ltd., vol. 10(7), pages 857-869.
    30. Fisher, Douglas & Serletis, Apostolos, 1988. "Monetary Velocity In The United States: Money Growth And Variability Tests On Quarterly And Monthly Data 1970 - 1985," Department of Economics and Business - Archive 259445, North Carolina State University, Department of Economics.
    31. Ralph Kober & Deryl Northcott, 2021. "Testing cause‐and‐effect relationships within a balanced scorecard," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1815-1849, April.
    32. Döpke, Jörg & Gern, Klaus-Jürgen, 1993. "Indikatoren für die konjunkturellen Wirkungen der Geldpolitik: Evidenz aus sechs großen Industrieländern," Kiel Working Papers 593, Kiel Institute for the World Economy (IfW Kiel).
    33. Francisco F. R. Ramos, 1996. "The Forecasting Accuracy of Five Time Series Models: Evidence from the Portuguese Car Market," Econometrics 9604002, University Library of Munich, Germany.
    34. Chi-Wei Su & Yahn-Shir Chen & Hsu-Ling Chang, 2007. "Stock Prices and Dividends in Taiwan's Stock Market: Evidence Based on Time-Varying Present Value Model," Economics Bulletin, AccessEcon, vol. 7(4), pages 1-12.

  93. Hsiao, Cheng, 1979. "Linear regression using both temporally aggregated and temporally disaggregated data," Journal of Econometrics, Elsevier, vol. 10(2), pages 243-252, June.

    Cited by:

    1. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    2. Zheng Xu, 2023. "Logistic Regression Based on Individual-Level Predictors and Aggregate-Level Responses," Mathematics, MDPI, vol. 11(3), pages 1-12, February.
    3. Yimin Yang & Fei Jia & Haoran Li, 2023. "Estimation of Panel Data Models with Mixed Sampling Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 514-544, June.
    4. Chih-nan Chen & Tsutomu Watanabe & Tomoyoshi Yabu, 2009. "A New Method for Identifying the Effects of Foreign Exchange Interventions," IMES Discussion Paper Series 09-E-06, Institute for Monetary and Economic Studies, Bank of Japan.
    5. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    6. Palm, F.C. & Nijman, T.E., 1982. "Linear regression using both temporally aggregated and temporally disaggregated data," Other publications TiSEM dc43de47-0865-4485-8f7c-8, Tilburg University, School of Economics and Management.
    7. Palm, F.C. & Nijman, Th., 1982. "Missing observations in the dynamic regression model," Serie Research Memoranda 0018, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    8. Liu, Echu & Hsiao, Cheng & Matsumoto, Tomoya & Chou, Shinyi, 2009. "Maternal full-time employment and overweight children: Parametric, semi-parametric, and non-parametric assessment," Journal of Econometrics, Elsevier, vol. 152(1), pages 61-69, September.
    9. Elena Andreou, Eric Ghysels & Eric Ghysels & Andros Kourtellos, 2007. "Regression Models with Mixed Sampling Frequencies," University of Cyprus Working Papers in Economics 8-2007, University of Cyprus Department of Economics.
    10. Eatzaz Ahmad, 1988. "Combining Yearly and Quarterly Data in Regression Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 27(4), pages 715-723.
    11. Qian, Hang, 2010. "Linear regression using both temporally aggregated and temporally disaggregated data: Revisited," MPRA Paper 32686, University Library of Munich, Germany.

  94. Hsiao, Cheng, 1977. "Identification for a Linear Dynamic Simultaneous Error-Shock Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(1), pages 181-194, February.

    Cited by:

    1. George Halkos & Kyriaki Tsilika, 2015. "Programming Identification Criteria in Simultaneous Equation Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 157-170, June.
    2. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.

  95. Hsiao, Cheng, 1976. "Identification and Estimation of Simultaneous Equation Models with Measurement Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(2), pages 319-339, June.

    Cited by:

    1. Shalabh & Garg, Gaurav & Misra, Neeraj, 2009. "Use of prior information in the consistent estimation of regression coefficients in measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1498-1520, August.
    2. Bekker, P. & Kapteyn, A.J. & Wansbeek, T.J., 1984. "Consistent sets of estimates for regressions with correlated or uncorrelated measurement errors in arbitrary subsets of all variables," Other publications TiSEM 88ecadd7-b010-4aa9-9d2f-6, Tilburg University, School of Economics and Management.
    3. Hsiao, Cheng & Robinson, P M, 1978. "Efficient Estimation of a Dynamic Error-Shock Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 467-479, June.
    4. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
    5. Carl E. Walsh, 1981. "Measurement Error and the Flow of Funds Accounts: Estimates of HouseholdAsset Demand Equations," NBER Working Papers 0732, National Bureau of Economic Research, Inc.
    6. George Halkos & Kyriaki Tsilika, 2015. "Programming Identification Criteria in Simultaneous Equation Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 157-170, June.
    7. P. Bentler & David Weeks, 1980. "Linear structural equations with latent variables," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 289-308, September.

  96. Hsiao, Cheng, 1975. "Some Estimation Methods for a Random Coefficient Model," Econometrica, Econometric Society, vol. 43(2), pages 305-325, March.

    Cited by:

    1. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    2. Ward, Ronald W. & Tilley, Daniel S., 1980. "Time Varying Parameters with Random Components: The Orange Juice Industry," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 12(2), pages 5-13, December.
    3. Buchinsky, Moshe, 1995. "Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963-1987," Journal of Econometrics, Elsevier, vol. 65(1), pages 109-154, January.
    4. Hans H. Bauer & Marc Fischer, 2001. "Ein Ansatz zur simultanen Messung von Kannibalisierungs-, substitutiven Konkurrenz- und Neukäufereffekten am Beispiel von line extensions," Schmalenbach Journal of Business Research, Springer, vol. 53(5), pages 455-477, August.
    5. Michael Fung, 2004. "Technological Opportunity and Productivity of R&D Activities," Journal of Productivity Analysis, Springer, vol. 21(2), pages 167-181, March.
    6. Bresson G. & Hsiao C. & Pirotte A., 2007. "Assessing the Contribution of R&D to Total Factor Productivity – a Bayesian Approach to Account for Heterogeneity And Heteroscedasticity," Working Papers ERMES 0708, ERMES, University Paris 2.
    7. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    8. Lin, Winston T. & Chen, Yueh H. & Hung, TingShu, 2019. "A partial adjustment valuation approach with stochastic and dynamic speeds of partial adjustment to measuring and evaluating the business value of information technology," European Journal of Operational Research, Elsevier, vol. 272(2), pages 766-779.
    9. Cho, Guedae & Sheldon, Ian M. & McCorriston, Steve, 2000. "Exchange Rate Misalignment And Agricultural Trade," 2000 Annual meeting, July 30-August 2, Tampa, FL 21824, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Timothy Neal, 2018. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15A, School of Economics, The University of New South Wales.
    11. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    12. Autcha Araveeporn, 2020. "Comparing Parameter Estimation of Random Coefficient Autoregressive Model by Frequentist Method," Mathematics, MDPI, vol. 8(1), pages 1-17, January.
    13. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    14. Swarnjit S. Arora & Murray Brown, 1977. "Alternative Approaches to Spatial Autocorrelation: An Improvement Over Current Practice," International Regional Science Review, , vol. 2(1), pages 67-78, October.
    15. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 13/22, Monash University, Department of Econometrics and Business Statistics.
    16. Obwana, M.B. & Kalirajan, K.P. & Shand, R.T., 1997. "On Measuring Farmer-Specific and Input-Specific Allocative Efficiency," 1997 Occasional Paper Series No. 7 198063, International Association of Agricultural Economists.
    17. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.
    18. Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017. "Sovereign debt spreads in EMU: The time-varying role of fundamentals and market distrust," Journal of Financial Stability, Elsevier, vol. 33(C), pages 187-206.
    19. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    20. Junankar, Pramod N. (Raja) & Madsen, Jakob B., 2004. "Unemployment in the OECD: Models and Mysteries," IZA Discussion Papers 1168, Institute of Labor Economics (IZA).
    21. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    22. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2018. "FH Puzzle in the Eurozone: A time-varying analysis Preliminary Draft," Working Papers 1813, Department of Applied Economics II, Universidad de Valencia.
    23. Timothy Neal & Michael Keane, 2020. "Climate Change and U.S. Agriculture: Accounting for Multi-dimensional Slope Heterogeneity in Production Functions," Discussion Papers 2018-08a, School of Economics, The University of New South Wales.
    24. Alain Trognon, 2003. "L'économétrie des panels en perspective," Revue d'économie politique, Dalloz, vol. 113(6), pages 727-748.
    25. Fabrice Murtin, 2007. "The Structural Change and the Endogeneity Bias of the College Premium in the United States 1968-2001"," Working Papers 2007-14, Center for Research in Economics and Statistics.
    26. Erik Biørn, 2014. "Estimating SUR system with random coefficients: the unbalanced panel data case," Empirical Economics, Springer, vol. 47(2), pages 451-468, September.
    27. Erik Biørn & Kjersti-Gro Lindquist & Terje Skjerpen, 2000. "Heterogeneity in Returns to Scale: A Random Coefficient Analysis with Unbalanced Panel Data," Discussion Papers 292, Statistics Norway, Research Department.
    28. Kwan, Simon H., 1996. "Firm-specific information and the correlation between individual stocks and bonds," Journal of Financial Economics, Elsevier, vol. 40(1), pages 63-80, January.
    29. Montezuma Dumangane & Nicoletta Rosati & Anna Volossovitch, 2009. "Departure from independence and stationarity in a handball match," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 723-741.
    30. Biorn,E., 1999. "Random coefficients in regression equation systems : the case with unbalanced panel data," Memorandum 27/1999, Oslo University, Department of Economics.

  97. Hsiao, Cheng, 1974. "Statistical Inference for a Model with Both Random Cross-Sectional and Time Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 12-30, February.

    Cited by:

    1. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    2. Bresson G. & Hsiao C. & Pirotte A., 2007. "Assessing the Contribution of R&D to Total Factor Productivity – a Bayesian Approach to Account for Heterogeneity And Heteroscedasticity," Working Papers ERMES 0708, ERMES, University Paris 2.
    3. Timothy Neal, 2018. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15A, School of Economics, The University of New South Wales.
    4. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    5. Georges Bresson & Cheng Hsiao, 2011. "A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 501-529, December.
    6. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    7. Yaguchi, Yu, 1994. "A panel data approach to the intercountry metaproduction function," ISU General Staff Papers 1994010108000018181, Iowa State University, Department of Economics.
    8. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 13/22, Monash University, Department of Econometrics and Business Statistics.
    9. Jin Seo Cho & Peter C. B. Phillips & Juwon Seo, 2019. "Parametric Inference on the Mean of Functional Data Applied to Lifetime Income Curves," Working papers 2019rwp-153, Yonsei University, Yonsei Economics Research Institute.
    10. Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023. "Deep Neural Network Estimation in Panel Data Models," Papers 2305.19921, arXiv.org.
    11. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.
    12. Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017. "Sovereign debt spreads in EMU: The time-varying role of fundamentals and market distrust," Journal of Financial Stability, Elsevier, vol. 33(C), pages 187-206.
    13. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    14. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2018. "FH Puzzle in the Eurozone: A time-varying analysis Preliminary Draft," Working Papers 1813, Department of Applied Economics II, Universidad de Valencia.
    15. BAYALE, Nimonka, 2018. "Quel volume d’aide internationale pour la croissance dans l’UEMOA ? [What amount of foreign aid for economic growth in WAEMU?]," MPRA Paper 88886, University Library of Munich, Germany, revised 07 Sep 2018.
    16. Jin Seo Cho & Peter C. B. Phillips & Juwon Seo, 2022. "Parametric Conditional Mean Inference With Functional Data Applied To Lifetime Income Curves," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 391-456, February.
    17. Kwan, Simon H., 1996. "Firm-specific information and the correlation between individual stocks and bonds," Journal of Financial Economics, Elsevier, vol. 40(1), pages 63-80, January.
    18. Montezuma Dumangane & Nicoletta Rosati & Anna Volossovitch, 2009. "Departure from independence and stationarity in a handball match," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 723-741.

Chapters

  1. Cheng Hsiao & Yan Shen & Qiankun Zhou, 2022. "Multiple Treatment Effects in Panel-Heterogeneity and Aggregation," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 81-101, Emerald Group Publishing Limited.

    Cited by:

    1. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.

  2. An Yonghong & Hsiao Cheng & Li Dong, 2016. "Semiparametric Estimation of Partially Linear Varying Coefficient Panel Data Models," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 47-65, Emerald Group Publishing Limited.

    Cited by:

    1. Bogui Li & Jianbao Chen & Shuangshuang Li, 2023. "Estimation of Fixed Effects Partially Linear Varying Coefficient Panel Data Regression Model with Nonseparable Space-Time Filters," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    2. Du, Kerui & Yu, Ying & Li, Jing, 2020. "Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model," Energy Economics, Elsevier, vol. 92(C).
    3. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
    4. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.

  3. Aigner, Dennis J. & Hsiao, Cheng & Kapteyn, Arie & Wansbeek, Tom, 1984. "Latent variable models in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 23, pages 1321-1393, Elsevier.

    Cited by:

    1. Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2019. "Pre-event Trends in the Panel Event-Study Design," American Economic Review, American Economic Association, vol. 109(9), pages 3307-3338, September.
    2. Heckman, James J., 2010. "The Assumptions Underlying Evaluation Estimators," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    3. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
    4. Denyse L. Dagenais & Marcel Dagenais, 1995. "Higher Moment Estimators for Linear Regression Models With Errors in the Variables," CIRANO Working Papers 95s-13, CIRANO.
    5. Hahn, Jinyong & Hausman, Jerry & Kim, Jeonghwan, 2021. "A small sigma approach to certain problems in errors-in-variables models," Economics Letters, Elsevier, vol. 208(C).
    6. Joseph G. Altonji & John C. Ham, 1986. "Variation in Employment Growth in Canada: The Role of External, National, Regional and Industrial Factors," NBER Working Papers 1816, National Bureau of Economic Research, Inc.
    7. Tindara Addabbo & Elena Sarti, 2013. "Access to work and disability: the case of Italy," Center for the Analysis of Public Policies (CAPP) 0107, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    8. Di Tommaso, Maria Laura, 2007. "Children capabilities: A structural equation model for India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(3), pages 436-450, June.
    9. Bekker, P. & Kapteyn, A.J. & Wansbeek, T.J., 1984. "Consistent sets of estimates for regressions with correlated or uncorrelated measurement errors in arbitrary subsets of all variables," Other publications TiSEM 88ecadd7-b010-4aa9-9d2f-6, Tilburg University, School of Economics and Management.
    10. Di Tommaso, M. L. & Shima, I. & Strøm, S. & Bettio, F., 2007. "As bad as it gets: Well being deprivation of sexually exploited trafficked women," Memorandum 09/2007, Oslo University, Department of Economics.
    11. Paul J. Gertler, 1985. "Subsidies, Quality, and Regulation in the Nursing Home Industry," NBER Working Papers 1691, National Bureau of Economic Research, Inc.
    12. Simon Freyaldenhoven & Christian Hansen & Jorge Perez Perez & Jesse Shapiro, 2021. "Visualization, Identification, and stimation in the Linear Panel Event-Study Design," Working Papers 21-44, Federal Reserve Bank of Philadelphia.
    13. Machado, Matilde P., 2004. "A consistent estimator for the binomial distribution in the presence of "incidental parameters": an application to patent data," Journal of Econometrics, Elsevier, vol. 119(1), pages 73-98, March.
    14. Jerry Hausman, 2001. "Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 57-67, Fall.
    15. Kapteyn, A. & Van De Ger, S. & Van De Stadt, H. & Wansbeek, T., 1989. "Interdependent Preferences: An Econometric Analysis," Papers 8954, Tilburg - Center for Economic Research.
    16. Flavio Cunha & James J. Heckman, 2009. "The Economics and Psychology of Inequality and Human Development," Working Papers 200934, Geary Institute, University College Dublin.
    17. Wang, Liqun & Hsiao, Cheng, 2011. "Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 165(1), pages 30-44.
    18. Bischoff, Oliver, 2012. "Explaining regional variation in equilibrium real estate prices and income," Journal of Housing Economics, Elsevier, vol. 21(1), pages 1-15.
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    Cited by:

    1. Canova, Fabio & Sala, Luca, 2006. "Back to square one: identification issues in DSGE models," Working Paper Series 583, European Central Bank.
    2. Susanne M. Schennach, 2004. "Instrumental Variable Estimation of Nonlinear Errors-in-Variables Models," Econometric Society 2004 North American Summer Meetings 602, Econometric Society.
    3. Jim Malley & Apostolis Philippopoulos, 2000. "Economic Growth and Endogenous Fiscal Policy: In Search of a Data Consistent General Equilibrium Model," CESifo Working Paper Series 235, CESifo.

Books

  1. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 2010. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521131001, September.

    Cited by:

    1. Mariusz Jarmuzek & Mr. Tonny Lybek, 2018. "Can Good Governance Lower Financial Intermediation Costs?," IMF Working Papers 2018/279, International Monetary Fund.
    2. Gasmi, Farid & Aurazo, Jose, 2022. "Labor informality and financial inclusion transitions: Evidence from Peru," TSE Working Papers 22-1349, Toulouse School of Economics (TSE).
    3. Jose Aurazo & Farid Gasmi, 2024. "Financial inclusion transitions in Peru: does labor informality play a role?," BIS Working Papers 1200, Bank for International Settlements.

  2. Hsiao,Cheng & Morimune,Kimio & Powell,James L. (ed.), 2001. "Nonlinear Statistical Modeling," Cambridge Books, Cambridge University Press, number 9780521662468, September.

    Cited by:

    1. Im, Kyung So & Schmidt, Peter, 2008. "More efficient estimation under non-normality when higher moments do not depend on the regressors, using residual augmented least squares," Journal of Econometrics, Elsevier, vol. 144(1), pages 219-233, May.
    2. Orazio P. Attanasio & Pinelopi Koujianou Goldberg & Ekaterini Kyriazidou, 2008. "Credit Constraints In The Market For Consumer Durables: Evidence From Micro Data On Car Loans," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 401-436, May.
    3. Heckman, James J., 2010. "The Assumptions Underlying Evaluation Estimators," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    4. Matsushita, Yukitoshi & Otsu, Taisuke, 2020. "Likelihood inference on semiparametric models with generated regressors," LSE Research Online Documents on Economics 102696, London School of Economics and Political Science, LSE Library.
    5. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    6. Nir Billfeld & Moshe Kim, 2019. "Semiparametric Wavelet-based JPEG IV Estimator for endogenously truncated data," Papers 1908.02166, arXiv.org.
    7. Xiaohong Chen & Demian Pouzo, 2009. "Efficient estimation of semiparametric conditional moment models with possibly nonsmooth residuals," CeMMAP working papers CWP20/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Cattaneo, Matias D & Crump, Richard K & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Department of Economics, Working Paper Series qt3jd237cg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    9. Koen Jochmans, 2015. "Multiplicative-error models with sample selection," SciencePo Working papers Main hal-03392990, HAL.
    10. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    11. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    12. Klein, Tobias J., 2007. "College Education and Wages in the U.K.: Estimating Conditional Average Structural Functions in Nonadditive Models with Binary Endogenous Variables," IZA Discussion Papers 2761, Institute of Labor Economics (IZA).
    13. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    14. Heckman, James J. & Schmierer, Daniel, 2010. "Tests of hypotheses arising in the correlated random coefficient model," Economic Modelling, Elsevier, vol. 27(6), pages 1355-1367, November.
    15. Robert A. Moffitt & Matthew V. Zahn, 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Papers 2202.03413, arXiv.org.
    16. Basu, Anirban, 2015. "Welfare implications of learning through solicitation versus diversification in health care," Journal of Health Economics, Elsevier, vol. 42(C), pages 165-173.
    17. Anirban Basu & Anupam B. Jena & Dana P. Goldman & Tomas J. Philipson & Robert Dubois, 2014. "Heterogeneity In Action: The Role Of Passive Personalization In Comparative Effectiveness Research," Health Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 359-373, March.
    18. Thomas Cornelissen & Christian Dustmann & Anna Christina Raute & Uta Schönberg, 2016. "From Late to MTE: Alternative Methods for the Evaluation of Policy Interventions," CESifo Working Paper Series 5987, CESifo.
    19. Basu Anirban, 2013. "Personalized Medicine in the Context of Comparative Effectiveness Research," Forum for Health Economics & Policy, De Gruyter, vol. 16(2), pages 73-86, June.
    20. Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2010. "Robust Data-Driven Inference for Density-Weighted Average Derivatives," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1070-1083.
    21. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    22. Heckman, James J. & Urzua, Sergio & Vytlacil, Edward, 2008. "Instrumental Variables in Models with Multiple Outcomes: The General Unordered Case," IZA Discussion Papers 3565, Institute of Labor Economics (IZA).
    23. Zhewen Pan, 2023. "On semiparametric estimation of the intercept of the sample selection model: a kernel approach," Papers 2302.05089, arXiv.org.
    24. James J. Heckman & Daniel A. Schmierer & Sergio S. Urzua, 2009. "Testing the Correlated Random Coefficient Model," NBER Working Papers 15463, National Bureau of Economic Research, Inc.
    25. Ugarte, Darwin, 2012. "The impact of formality on firm profitability in Bolivia: an heterogeneous assessment," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 17, pages 53-74, Mayo.
    26. Martin Nybom, 2017. "The Distribution of Lifetime Earnings Returns to College," Journal of Labor Economics, University of Chicago Press, vol. 35(4), pages 903-952.
    27. James J. Heckman & Salvador Navarro-Lozano, 2003. "Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models," NBER Working Papers 9497, National Bureau of Economic Research, Inc.
    28. Kenneth Lee & Edward Miguel & Catherine Wolfram, 2019. "Does Household Electrification Supercharge Economic Development?," NBER Working Papers 26528, National Bureau of Economic Research, Inc.
    29. Andrea J. Heuson & Mark C. Hutchinson & Alok Kumar, 2020. "Predicting hedge fund performance when fund returns are skewed," Financial Management, Financial Management Association International, vol. 49(4), pages 877-896, December.
    30. Ping Yu & Peter C.B. Phillips, 2014. "Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 1966, Cowles Foundation for Research in Economics, Yale University.
    31. Amanda E. Kowalski, 2018. "Behavior within a Clinical Trial and Implications for Mammography Guidelines," NBER Working Papers 25049, National Bureau of Economic Research, Inc.
    32. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    33. Anirban Basu, 2012. "Estimating Person-Centered Treatment (PeT) Effects Using Instrumental Variables," NBER Working Papers 18056, National Bureau of Economic Research, Inc.
    34. Matias D. Cattaneo & Michael Jansson, 2014. "Bootstrapping Kernel-Based Semiparametric Estimators," CREATES Research Papers 2014-25, Department of Economics and Business Economics, Aarhus University.
    35. Markku Lanne & Helmut Lütkepohl & Pentti Saikkonen, 2003. "Test Procedures for Unit Roots in Time Series with Level Shifts at Unknown Time," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 91-115, February.
    36. Jürgen Wolters & Uwe Hassler, 2006. "Unit root testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 43-58, March.
    37. Klein, T.J., 2008. "Heterogeneous Treatment Effects : Instrumental Variables Without Monotonicity?," Other publications TiSEM e015611a-6b97-4cd5-8dc8-7, Tilburg University, School of Economics and Management.
    38. Alem, Mauro & Townsend, Robert M., 2014. "An evaluation of financial institutions: Impact on consumption and investment using panel data and the theory of risk-bearing," Journal of Econometrics, Elsevier, vol. 183(1), pages 91-103.
    39. James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
    40. Motto, Roberto & Altavilla, Carlo & Carboni, Giacomo, 2015. "Asset purchase programmes and financial markets: lessons from the euro area," Working Paper Series 1864, European Central Bank.
    41. H. Evans & A. Basu, 2011. "Exploring comparative effect heterogeneity with instrumental variables: prehospital intubation and mortality," Health, Econometrics and Data Group (HEDG) Working Papers 11/26, HEDG, c/o Department of Economics, University of York.
    42. Nishiyama, Y., 2004. "Minimum normal approximation error bandwidth selection for averaged derivatives," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 53-61.
    43. Barrios, Javier A., 2004. "Generalized sample selection bias correction under RUM," Economics Letters, Elsevier, vol. 85(1), pages 129-132, October.
    44. Ching, Steve & Hsiao, Cheng & Wan, Shui Ki, 2012. "Impact of CEPA on the labor market of Hong Kong," China Economic Review, Elsevier, vol. 23(4), pages 975-981.
    45. Mariagrazia Squicciarini, 2008. "Science Parks’ tenants versus out-of-Park firms: who innovates more? A duration model," The Journal of Technology Transfer, Springer, vol. 33(1), pages 45-71, February.
    46. Juli'an Mart'inez-Iriarte & Pietro Emilio Spini, 2022. "MTE with Misspecification," Papers 2204.10445, arXiv.org.
    47. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.

  3. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693, September.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Post-Print hal-03539371, HAL.
    3. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
    4. Welch, Timothy F. & Gehrke, Steven R. & Wang, Fangru, 2016. "Long-term impact of network access to bike facilities and public transit stations on housing sales prices in Portland, Oregon," Journal of Transport Geography, Elsevier, vol. 54(C), pages 264-272.
    5. Luis Ayala & Olga Cantó & Juan G. Rodríguez, 2011. "Poverty and the business cycle: The role of the intra-household distribution of unemployment," Working Papers 222, ECINEQ, Society for the Study of Economic Inequality.
    6. Winkelried, Diego, 2014. "Inferring inflation expectations from fixed-event forecasts," Working Papers 2014-016, Banco Central de Reserva del Perú.
    7. Byrne, Joseph P. & Kontonikas, Alexandros & Montagnoliz, Alberto, 2010. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," SIRE Discussion Papers 2010-57, Scottish Institute for Research in Economics (SIRE).
    8. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2009. "Forecasting with Spatial Panel Data," IZA Discussion Papers 4242, Institute of Labor Economics (IZA).
    9. Worawan Chandoevwit & Nada Wasi, 2019. "Estimating Demand for Long-term Care Insurance in Thailand: Evidence from a Discrete Choice Experiment," PIER Discussion Papers 106, Puey Ungphakorn Institute for Economic Research.
    10. Vogel, Johanna, 2013. "Regional Convergence in Europe: A Dynamic Heterogeneous Panel Approach," MPRA Paper 51794, University Library of Munich, Germany.
    11. Giovanni Bella & Carla Massidda & Ivan Etzo, 2013. "A Panel Estimation of the Relationship between Income, Electric Power Consumption and CO2 Emissions," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 59(2), pages 149-166.
    12. José M. Labeaga & Xisco Oliver & Amadéo Spadaro, 2008. "Discrete choice models of labour supply, behavioural microsimulation and the Spanish tax reforms," PSE-Ecole d'économie de Paris (Postprint) halshs-00754269, HAL.
    13. Loungani, Prakash, 2001. "How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth," International Journal of Forecasting, Elsevier, vol. 17(3), pages 419-432.
    14. Tara Sinclair & Herman O. Stekler & Warren Carrow, 2012. "Evaluating a Vector of the Fed's Forecasts," Working Papers 2012-3, The George Washington University, Institute for International Economic Policy.
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