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Aman Ullah

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:
  1. Shangwei Zhao & Aman Ullah & Xinyu Zhang, 2018. "A Class of Model Averaging Estimators," Working Paper series 18-11, Rimini Centre for Economic Analysis.

    Mentioned in:

    1. Suggested Reading for June
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2018-06-01 12:49:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Pagan, Adrian & Ullah, Aman, 1988. "The Econometric Analysis of Models with Risk Terms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(2), pages 87-105, April.

    Mentioned in:

    1. The econometric analysis of models with risk terms (Journal of Applied Econometrics 1988) in ReplicationWiki ()

Working papers

  1. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Semiparametric Partially Linear Varying Coefficient Modal Regression," Working Papers 202215, University of California at Riverside, Department of Economics, revised Jun 2022.

    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. Zhe Sun & Yundong Tu, 2024. "Factors in Fashion: Factor Analysis towards the Mode," Papers 2409.19287, arXiv.org.

  2. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Optimal Forecast under Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202207, University of Kansas, Department of Economics.

    Cited by:

    1. Shahnaz Parsaeian, 2024. "Stein-like Common Correlated Effects Estimation under Structural Breaks," Econometrics, MDPI, vol. 12(2), pages 1-23, April.

  3. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Forecasting under Structural Breaks Using Improved Weighted Estimation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202212, University of Kansas, Department of Economics.

    Cited by:

    1. Zongwu Cai & Gunawan, 2023. "A Combination Forecast for Nonparametric Models with Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202310, University of Kansas, Department of Economics, revised Sep 2023.
    2. Shahnaz Parsaeian, 2024. "Stein-like Common Correlated Effects Estimation under Structural Breaks," Econometrics, MDPI, vol. 12(2), pages 1-23, April.

  4. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19," Working Papers 202207, University of California at Riverside, Department of Economics.

    Cited by:

    1. Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
    2. Tao Wang, 2022. "Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1819-1821, October.
    3. Zhe Sun & Yundong Tu, 2024. "Factors in Fashion: Factor Analysis towards the Mode," Papers 2409.19287, arXiv.org.

  5. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2021. "Efficient Combined Estimation under Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202107, University of Kansas, Department of Economics.

    Cited by:

    1. Shahnaz Parsaeian, 2024. "Stein-like Common Correlated Effects Estimation under Structural Breaks," Econometrics, MDPI, vol. 12(2), pages 1-23, April.

  6. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics-from A.L.Nagar to Now," Working Papers 202114, University of California at Riverside, Department of Economics, revised Oct 2021.

    Cited by:

    1. Yong Bao & Aman Ullah, 2021. "The Special Issue in Honor of Anirudh Lal Nagar: An Introduction," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 1-8, December.

  7. Aman Ullah & Tao Wang & Weixin Yao, 2020. "Modal Regression for Fixed Effects Panel Data," Working Papers 202102, University of California at Riverside, Department of Economics, revised Nov 2020.

    Cited by:

    1. Xin Jing & Jin Seo Cho, 2023. "Forecasting the Confirmed COVID-19 Cases Using Modal Regression," Working papers 2023rwp-217, Yonsei University, Yonsei Economics Research Institute.
    2. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    3. Eduardo Schirmer Finn & Eduardo Horta, 2024. "Convolution Mode Regression," Papers 2412.05736, arXiv.org.
    4. Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
    5. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    6. Smith, Lisa C. & Frankenberger, Timothy R., 2022. "Recovering from severe drought in the drylands of Ethiopia: Impact of Comprehensive Resilience Programming," World Development, Elsevier, vol. 156(C).
    7. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19," Working Papers 202207, University of California at Riverside, Department of Economics.
    8. Zhe Sun & Yundong Tu, 2024. "Factors in Fashion: Factor Analysis towards the Mode," Papers 2409.19287, arXiv.org.

  8. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Working Papers 202013, University of California at Riverside, Department of Economics, revised Jun 2020.

    Cited by:

    1. Ali Mehrabani, 2024. "Stein-Like Shrinkage Estimators for Coefficients of a Single-Equation in Simultaneous Equation Systems," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202414, University of Kansas, Department of Economics.
    2. Ali Mehrabani & Aman Ullah, 2022. "Weighted Average Estimation in Panel Data," Working Papers 202209, University of California at Riverside, Department of Economics, revised Apr 2022.
    3. Jesus M. Padilla-Atondo & Jorge Limon-Romero & Armando Perez-Sanchez & Diego Tlapa & Yolanda Baez-Lopez & Cesar Puente & Sinue Ontiveros, 2021. "The Impact of Hydrogen on a Stationary Gasoline-Based Engine through Multi-Response Optimization: A Desirability Function Approach," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    4. Shahnaz Parsaeian, 2024. "Stein-like Common Correlated Effects Estimation under Structural Breaks," Econometrics, MDPI, vol. 12(2), pages 1-23, April.

  9. Tae-Hwy Lee & Millie Yi Mao & Aman Ullah, 2020. "Maximum Entropy Analysis of Consumption-based Capital Asset Pricing Model and Volatility," Working Papers 202015, University of California at Riverside, Department of Economics.

    Cited by:

    1. Subhadeep Mukhopadhyay, 2023. "Abductive Inference and C. S. Peirce: 150 Years Later," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 123-149, March.
    2. Michael William Ashby & Oliver Bruce Linton, 2024. "Do Consumption-Based Asset Pricing Models Explain the Dynamics of Stock Market Returns?," JRFM, MDPI, vol. 17(2), pages 1-41, February.

  10. Samuele Centorrino & Aman Ullah & Jing Xue, 2019. "Semiparametric Estimation of Correlated Random Coefficient Models without Instrumental Variables," Papers 1911.06857, arXiv.org.

    Cited by:

    1. Kien C. Tran & Mike G. Tsionas, 2022. "Instrumental Variables Estimation without Outside Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(3), pages 489-506, September.

  11. Millie Yi Mao & Aman Ullah, 2019. "Information Theoretic Estimation of Econometric Functions," Working Papers 201923, University of California at Riverside, Department of Economics.

    Cited by:

    1. Stöckel, Jannis & Bom, Judith, 2022. "Revisiting longer-term health effects of informal caregiving: Evidence from the UK," The Journal of the Economics of Ageing, Elsevier, vol. 21(C).

  12. T.S. Tuang Buansing & Amos Golan & Aman Ullah, 2019. "Information-Theoretic Approach for Forecasting Interval-Valued SP500 Daily Returns," Working Papers 201922, University of California at Riverside, Department of Economics.

    Cited by:

    1. Subhadeep Mukhopadhyay, 2023. "Abductive Inference and C. S. Peirce: 150 Years Later," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 123-149, March.
    2. Sun, Yuying & Zhang, Xinyu & Wan, Alan T.K. & Wang, Shouyang, 2022. "Model averaging for interval-valued data," European Journal of Operational Research, Elsevier, vol. 301(2), pages 772-784.
    3. Piao Wang & Shahid Hussain Gurmani & Zhifu Tao & Jinpei Liu & Huayou Chen, 2024. "Interval time series forecasting: A systematic literature review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 249-285, March.
    4. Wang, Piao & Tao, Zhifu & Liu, Jinpei & Chen, Huayou, 2023. "Improving the forecasting accuracy of interval-valued carbon price from a novel multi-scale framework with outliers detection: An improved interval-valued time series analysis mode," Energy Economics, Elsevier, vol. 118(C).
    5. Haowen Bao & Yongmiao Hong & Yuying Sun & Shouyang Wang, 2024. "Sparse Interval-valued Time Series Modeling with Machine Learning," Papers 2411.09452, arXiv.org.
    6. Zhu, Bangzhu & Wan, Chunzhuo & Wang, Ping, 2022. "Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach," Energy Economics, Elsevier, vol. 115(C).

  13. Tae-Hwy Lee & Aman Ullah & He Wang, 2018. "The Second-order Asymptotic Properties of Asymmetric Least Squares Estimation," Working Papers 201910, University of California at Riverside, Department of Economics.

    Cited by:

    1. Arnab Bhattacharjee & Tapabrata Maiti, 2019. "P. C. Mahalanobis in the Context of Current Econometrics Research," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 1-11, September.

  14. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.

    Cited by:

    1. van den Berg, Gerard J. & Lundborg, Petter & Nystedt, Paul & Rooth, Dan-Olof, 2011. "Critical periods during childhood and adolescence: a study of adult height among immigrant siblings," Working Paper Series 2011:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    2. Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
    3. Yoonseok Lee & Donggyu Sul, 2022. "Trimmed Mean Group Estimation," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 177-202, Emerald Group Publishing Limited.
    4. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    5. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    6. Almeida, Alexandre N. & Santos, Augusto S. & Halmenschlager, Vinícius & Gilio, Leandro & Diniz, Tiago B. & Ferreira, Alexandre A. S., 2016. "Flexible-fuel automobiles and CO2 emissions in Brazil: a semiparametric analysis using panel data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235733, Agricultural and Applied Economics Association.
    7. Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
    8. Huijun Ji & Arber Hoti, 2022. "Green economy based perspective of low-carbon agriculture growth for total factor energy efficiency improvement," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 353-363, March.
    9. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).
    10. Kota Ogasawara & Yukitoshi Matsushita, 2019. "Heterogeneous treatment effects of safe water on infectious disease: Do meteorological factors matter?," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(1), pages 55-82, January.
    11. De Monte Enrico, 2024. "Nonparametric Instrumental Regression with Two-Way Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 49-66, January.

  15. Shangwei Zhao & Aman Ullah & Xinyu Zhang, 2018. "A Class of Model Averaging Estimators," Working Paper series 18-11, Rimini Centre for Economic Analysis.

    Cited by:

    1. 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.
    2. Qingfeng Liu & Andrey L. Vasnev, 2019. "A Combination Method for Averaging OLS and GLS Estimators," Econometrics, MDPI, vol. 7(3), pages 1-12, September.
    3. Katal, Ali & Mortezazadeh, Mohammad & Wang, Liangzhu (Leon), 2019. "Modeling building resilience against extreme weather by integrated CityFFD and CityBEM simulations," Applied Energy, Elsevier, vol. 250(C), pages 1402-1417.

  16. 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.

    Cited by:

    1. Bagstad, Kenneth J. & Ingram, Jane Carter & Shapiro, Carl D. & La Notte, Alessandra & Maes, Joachim & Vallecillo, Sara & Casey, C. Frank & Glynn, Pierre D. & Heris, Mehdi P. & Johnson, Justin A. & Lau, 2021. "Lessons learned from development of natural capital accounts in the United States and European Union," Ecosystem Services, Elsevier, vol. 52(C).
    2. Gupta, Joyeeta & Bavinck, Maarten & Ros-Tonen, Mirjam & Asubonteng, Kwabena & Bosch, Hilmer & van Ewijk, Edith & Hordijk, Michaela & Van Leynseele, Yves & Lopes Cardozo, Mieke & Miedema, Esther & Pouw, 2021. "COVID-19, poverty and inclusive development," World Development, Elsevier, vol. 145(C).
    3. Hensher, David A., 2021. "The case for negotiated contracts under the transition to a green bus fleet," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 255-269.
    4. Günther, Jutta (Ed.) & Wedemeier, Jan (Ed.), 2020. "Struktureller Umbruch durch COVID-19: Implikationen für die Innovationspolitik im Land Bremen," HWWI Policy Papers 128, Hamburg Institute of International Economics (HWWI).

  17. Shujie Ma & Jeffrey S. Racine & Aman Ullah, 2015. "Nonparametric Regression-Spline Random Effects Models," Department of Economics Working Papers 2015-10, McMaster University.

    Cited by:

    1. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    2. Vafadarnikjoo, Amin & Chalvatzis, Konstantinos & Botelho, Tiago & Bamford, David, 2023. "A stratified decision-making model for long-term planning: Application in flood risk management in Scotland," Omega, Elsevier, vol. 116(C).
    3. Serfas, D., 2018. "an ex-post econometric analysis of the abolishment of the canadian wheat board," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277286, International Association of Agricultural Economists.

  18. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2014. "Forecasting Equity Premium: Global Historical Average versus Local Historical Average and Constraints," Working Papers 201405, University of California at Riverside, Department of Economics.

    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.
    2. Lee Tae-Hwy & Wang He & Xi Zhou & Zhang Ru, 2023. "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 57-83, January.
    3. Ren, Yu & Tu, Yundong & Yi, Yanping, 2019. "Balanced predictive regressions," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 118-142.
    4. Biqing Cai & Jiti Gao, 2017. "A simple nonlinear predictive model for stock returns," Monash Econometrics and Business Statistics Working Papers 18/17, Monash University, Department of Econometrics and Business Statistics.
    5. Tu, Yundong & Xie, Xinling, 2023. "Penetrating sporadic return predictability," Journal of Econometrics, Elsevier, vol. 237(1).
    6. Tu, Yundong & Liang, Han-Ying & Wang, Qiying, 2022. "Nonparametric inference for quantile cointegrations with stationary covariates," Journal of Econometrics, Elsevier, vol. 230(2), pages 453-482.

  19. Aman Ullah & Alan T.K. Wan & Huansha Wang & Xinyu Zhang & Guohua Zou, 2014. "A Semiparametric Generalized Ridge Estimator and Link with Model Averaging," Working Papers 201412, University of California at Riverside, Department of Economics.

    Cited by:

    1. Yongmiao Hong & Tae-Hwy Lee & Yuying Sun & Shouyang Wang & Xinyu Zhang, 2017. "Time-varying Model Averaging," Working Papers 202001, University of California at Riverside, Department of Economics.

  20. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2014. "Nonparametric and Semiparametric Regressions Subject to Monotonicity Constraints: Estimation and Forecasting," Working Papers 201404, University of California at Riverside, Department of Economics.

    Cited by:

    1. Francis X. Diebold & Minchul Shin, 2017. "Assessing point forecast accuracy by stochastic error distance," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 588-598, October.
    2. Lee Tae-Hwy & Wang He & Xi Zhou & Zhang Ru, 2023. "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 57-83, January.
    3. Tu, Yundong & Xie, Xinling, 2023. "Penetrating sporadic return predictability," Journal of Econometrics, Elsevier, vol. 237(1).
    4. Fu, Zhonghao & Hong, Yongmiao, 2019. "A model-free consistent test for structural change in regression possibly with endogeneity," Journal of Econometrics, Elsevier, vol. 211(1), pages 206-242.
    5. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    6. Diebold, Francis X. & Shin, Minchul, 2015. "Assessing point forecast accuracy by stochastic loss distance," Economics Letters, Elsevier, vol. 130(C), pages 37-38.
    7. Tu, Yundong & Liang, Han-Ying & Wang, Qiying, 2022. "Nonparametric inference for quantile cointegrations with stationary covariates," Journal of Econometrics, Elsevier, vol. 230(2), pages 453-482.

  21. Aman Ullah & Yong Bao & Ru Zhang, 2014. "Moment Approximation for Unit Root Models with Nonnormal Errors," Working Papers 201401, University of California at Riverside, Department of Economics.

    Cited by:

    1. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.

  22. Yong Bao & Aman Ullah & Yun Wang & Jun Yu, 2013. "Bias in the Mean Reversion Estimator in Continuous-Time Gaussian and Lévy Processes," Working Papers 02-2013, Singapore Management University, School of Economics.

    Cited by:

    1. Iglesias, Emma M., 2014. "Testing of the mean reversion parameter in continuous time models," Economics Letters, Elsevier, vol. 122(2), pages 187-189.
    2. Bao, Yong & Ullah, Aman & Wang, Yun & Yu, Jun, 2015. "Bias in the estimation of mean reversion in continuous-time Lévy processes," Economics Letters, Elsevier, vol. 134(C), pages 16-19.

  23. Ye Chen & Liangjun Su & Aman Ullah, 2009. "Functional Coefficient Estimation with Both Categorical and Continuous Data," Working Papers 200909, University of California at Riverside, Department of Economics, revised Jun 2009.

    Cited by:

    1. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Forecasting under Structural Breaks Using Improved Weighted Estimation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202212, University of Kansas, Department of Economics.
    2. Yan Li & Liangjun Su & Yuewu Xu, 2015. "A Combined Approach to the Inference of Conditional Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 203-220, April.

  24. Xiangdong Long & Liangjun Su & Aman Ullah, 2009. "Estimation and Forecasting of Dynamic Conditional Covariance: A Semiparametric Multivariate Model Variables with Econometric Applications," Working Papers 200908, University of California at Riverside, Department of Economics, revised Jul 2009.

    Cited by:

    1. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2010. "Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets," Econometrics Working Papers Archive wp2010_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Serra, Teresa, 2011. "Volatility spillovers between food and energy markets: A semiparametric approach," Energy Economics, Elsevier, vol. 33(6), pages 1155-1164.

  25. Pesaran, M.H. & Ullah, A. & Yamagata. T., 2006. "A Bias-Adjusted LM Test of Error Cross Section Independence," Cambridge Working Papers in Economics 0641, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Bekir Asik, 2024. "Uncertainty and Money Demand Function in Developing Countries," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 10(2), pages 111-136, December.
    2. Yilmaz Bayar & Marius Dan Gavriletea, 2018. "Foreign Direct Investment Inflows and Financial Development in Central and Eastern European Union Countries: A Panel Cointegration and Causality," IJFS, MDPI, vol. 6(2), pages 1-13, May.
    3. Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
    4. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Si Mohammed, Kamel & Abddel-Jalil Sallam, Osama Azmi & Abdelkader, Salim Bourchid & Radulescu, Magdalena, 2024. "Dynamic effects of digital governance and government interventions on natural resources management: Fresh findings from Chinese provinces," Resources Policy, Elsevier, vol. 92(C).
    6. Badi H. Baltagi & Raffaele Lagravinese & Francesco Moscone & Elisa Tosetti, 2016. "The Health Care Expenditure and Income: A Global Perspective," Center for Policy Research Working Papers 197, Center for Policy Research, Maxwell School, Syracuse University.
    7. C. Thubin & T. Ferrière & E. Monnet & M. Marx & V. Oung, 2016. "The PRISME model: can disaggregation on the production side help to forecast GDP?," Working papers 596, Banque de France.
    8. Cem Ișik & Munir Ahmad & Uğur Korkut Pata & Serdar Ongan & Magdalena Radulescu & Festus Fatai Adedoyin & Engin Bayraktaroğlu & Sezi Aydın & Ayse Ongan, 2020. "An Evaluation of the Tourism-Induced Environmental Kuznets Curve (T-EKC) Hypothesis: Evidence from G7 Countries," Sustainability, MDPI, vol. 12(21), pages 1-11, November.
    9. Mihaela Simionescu & Javier Cifuentes-Faura, 2022. "Forecasting National and Regional Youth Unemployment in Spain Using Google Trends," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1187-1216, December.
    10. Lyttkens, Carl Hampus & Westerlund, Joakim & Andersson, Tommy, 2012. "Efficient but getting wet feet: A not-entirely-frivolous note on the side-effects of growth-promoting institutions," Economics Letters, Elsevier, vol. 115(1), pages 118-121.
    11. Dhimitri Qirjo & Razvan Pascalau, 2021. "Would economic growth affect air pollution in light of the potential transatlantic trade and investment partnership?," International Economics and Economic Policy, Springer, vol. 18(1), pages 127-156, February.
    12. Adnan KHURSHID & Yin KEDONG & Adrian Cantemir CĂLIN & Zhaosu MENG & Naila NAZIR, 2018. "Remittances Inflows, Gain of Foreign Exchange or Trade Loss? New Evidence from Low, Lower-Middle and Middle-Income Groups," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 20-41, December.
    13. Kassouri, Yacouba & Alola, Andrew Adewale & Savaş, Savaş, 2021. "The dynamics of material consumption in phases of the economic cycle for selected emerging countries," Resources Policy, Elsevier, vol. 70(C).
    14. Khalil Mhadhbi & Chokri Terzi & Ali Ali Bouchrika, 2017. "Banking sector development and economic growth developing countries: A bootstrap panel Granger causality analysis," Working Papers hal-01528104, HAL.
    15. Mehmet MERCAN, 2014. "Feldstein-Horioka Hipotezinin AB-15 ve Turkiye Ekonomisi icin Sinanmasi: Yatay Kesit Bagimliligi Altinda Yapisal Kirilmali Dinamik Panel Veri Analizi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 14(2), pages 231-245.
    16. Appiah, Michael & Ashraf, Sania & Tiwari, Aviral Kumar & Gyamfi, Bright Akwasi & Onifade, Stephen Taiwo, 2023. "Does financialization enhance renewable energy development in Sub-Saharan African countries?," Energy Economics, Elsevier, vol. 125(C).
    17. Badi Baltagi & Chihwa Kao & Fa wang, 2016. "Asymptotic Power of the Sphericity Test Under Weak and Strong Factors in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 189, Center for Policy Research, Maxwell School, Syracuse University.
    18. Tsangyao Chang & Chien-Chiang Lee & Hsiao-Ping Chu, 2015. "Revisiting the Defense-Growth nexus in European countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(3), pages 341-356, June.
    19. Wendy N. Cowan & Tsangyao Chang & Roula Inglesi-Lotz & Rangan Gupta, 2013. "The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries," Working Papers 201340, University of Pretoria, Department of Economics.
    20. Manuchehr Irandoust, 2019. "Saving and investment causality: implications for financial integration in transition countries of Eastern Europe," International Economics and Economic Policy, Springer, vol. 16(2), pages 397-416, April.
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    367. Dinçer Afat & Michael Frömmel, 2021. "A Panel Data Analysis of Uncovered Interest Parity and Time-Varying Risk Premium," Open Economies Review, Springer, vol. 32(3), pages 507-526, July.
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    369. Ali, Qamar & Yaseen, Muhammad Rizwan & Anwar, Sofia & Makhdum, Muhammad Sohail Amjad & Khan, Muhammad Tariq Iqbal, 2021. "The impact of tourism, renewable energy, and economic growth on ecological footprint and natural resources: A panel data analysis," Resources Policy, Elsevier, vol. 74(C).
    370. Betül Gür, 2016. "An Analysis of the Relationship Between Foreign Direct Investment and Sociopolitical Factors via the Use of Panel Regression," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 3(3), pages 43-55, January.
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    373. Umut Uzar, 2023. "Income Inequality, Institutions, and Freedom of the Press: Potential Mechanisms and Evidence," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    374. Yilmaz Bayar & Mahmut Unsal Sasmaz & Mehmet Hilmi Ozkaya, 2020. "Impact of Trade and Financial Globalization on Renewable Energy in EU Transition Economies: A Bootstrap Panel Granger Causality Test," Energies, MDPI, vol. 14(1), pages 1-13, December.
    375. Simohammed, Kamel & Benhabib, Abderrezzak & Maliki, Samir, 2015. "The Impact of Oil Prices on Macroeconomic Fundamentals, Monetary Policy and Stock Market for eight Middle East and North African Countries," MPRA Paper 75278, University Library of Munich, Germany.
    376. Monika Papiez & Slawomir Smiech, 2013. "Economic Growth and Energy Consumption in Post-Communist Countries: a Bootstrap Panel Granger Causality Analysis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 51-68.
    377. Sakiru Adebola Solarin & Sinan Erdogan & Ugur Korkut Pata, 2023. "Convergence of Income Inequality in OECD Countries Since 1870: A Multi-Method Approach with Structural Changes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 601-626, April.
    378. Sohag, Kazi & Riad Shams, S.M. & Darusalam, Darusalam & Devalle, Alain, 2021. "Information digitalisation and local institutional agility: evidence from ASEAN countries," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    379. Yilmaz Bayar & Marius Dan Gavriletea & Mirela Oana Pintea & Ioana Cristina Sechel, 2021. "Impact of Environment, Life Expectancy and Real GDP per Capita on Health Expenditures: Evidence from the EU Member States," IJERPH, MDPI, vol. 18(24), pages 1-14, December.
    380. Shao, Shuai & Razzaq, Asif, 2022. "Does composite fiscal decentralization reduce trade-adjusted resource consumption through institutional governance, human capital, and infrastructure development?," Resources Policy, Elsevier, vol. 79(C).
    381. Afef Bouattour & Maha Kalai & Kamel Helali, 2024. "The non-linear relationship between ESG performance and bank stability in the digital era: new evidence from a regime-switching approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    382. Unzule Kurt & Cuneyt Kilic & Ahmet Tayfur Akcan, 2024. "Does Internet Use Affect Air Pollution? Evidence from OECD Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 235-246, May.
    383. Farid Irani & Salih Katircioglu & Korhan K. Gokmenoglu, 2021. "Effects of Business and Finance Conditions on Tourism Firms’ Financial Performances: Evidence From Major Tourist Destinations," SAGE Open, , vol. 11(3), pages 21582440211, August.
    384. Tsangyao Chang & Hsiao-Ping Chu & Wen-Yi Chen, 2013. "Energy consumption and economic growth in 12 Asian countries: panel data analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 20(3), pages 282-287, February.
    385. Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
    386. Serkan ÇINAR & Mine YILMAZER, 2021. "Determinants of Green Technologies in Developing Countries," Isletme ve Iktisat Calismalari Dergisi, Econjournals, vol. 9(2), pages 155-167.
    387. Jide Zhang & Mushtaq Ahmad & Tufail Muhammad & Furqan Syed & Xu Hong & Muhmmad Khan, 2023. "The Impact of the Financial Industry and Globalization on Environmental Quality," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    388. Sudeshna Ghosh, 2018. "Globalization and Environment: An Asian Experience," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-27, October.
    389. Chu, Hsiao-Ping & Chang, Tsangyao, 2012. "Nuclear energy consumption, oil consumption and economic growth in G-6 countries: Bootstrap panel causality test," Energy Policy, Elsevier, vol. 48(C), pages 762-769.
    390. Chang, Tsangyao & Gupta, Rangan & Inglesi-Lotz, Roula & Simo-Kengne, Beatrice & Smithers, Devon & Trembling, Amy, 2015. "Renewable energy and growth: Evidence from heterogeneous panel of G7 countries using Granger causality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1405-1412.
    391. Puente-Ajovín, Miguel & Sanso-Navarro, Marcos, 2015. "Granger causality between debt and growth: Evidence from OECD countries," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 66-77.
    392. Ali Acaravci & Seyfettin Artan & Pinar Hayaloglu & Sinan Erdogan, 2023. "Economic and Institutional Determinants of Corruption: The Case of Developed and Developing Countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 207-231, March.
    393. Muhammad Imran & Sajid Ali & Yousef Shahwan & Jijian Zhang & Issa Ahmad Al-Swiety, 2022. "Analyzing the Effects of Renewable and Nonrenewable Energy Usage and Technological Innovation on Environmental Sustainability: Evidence from QUAD Economies," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    394. Antonio Focacci & Angelo Focacci & Alessandro Faenza, 2024. "The lens of the quantity theory of money to disentangle the perceived relationship between money growth and inflation: a PSVAR approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 571-595, September.
    395. Muhammad Azam, 2022. "Governance and Economic Growth: Evidence from 14 Latin America and Caribbean Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1470-1495, June.
    396. Hali̇l İbrahi̇m Aydin & Omer Yalcinkaya, 2017. "Effects Of The Economic Freedoms On The Economic Growth: Evidence From The Eu And Comcec Countries (1996-2015)," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 12-25, June.
    397. Tsangyao Chang & Hsiao-Ping Chu & Frederick W. Deale & Rangan Gupta & Stephen M. Miller, 2014. "The Relationship between Population Growth and Economic Growth Over 1870-2013: Evidence from a Bootstrapped Panel-Granger Causality Test," Working Papers 201431, University of Pretoria, Department of Economics.
    398. Chu, Hsiao-Ping, 2012. "Oil consumption and output: What causes what? Bootstrap panel causality for 49 countries," Energy Policy, Elsevier, vol. 51(C), pages 907-915.
    399. Balcilar, Mehmet & Gupta, Rangan & Lee, Chien-Chiang & Olasehinde-Williams, Godwin, 2020. "Insurance and economic policy uncertainty," Research in International Business and Finance, Elsevier, vol. 54(C).
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    401. Shahbaz, Muhammad & Syed, Jawad & Kumar, Mantu & Hammoudeh, Shawkat, 2017. "Does globalization worsen environmental quality in developed economies?," MPRA Paper 80055, University Library of Munich, Germany, revised 06 Jul 2017.
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    406. Manuchehr Irandoust, 2024. "Does FDI encourage female labor force participation? Evidence from Arab countries," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 59(3), pages 174-189, July.
    407. Yilmaz Bayar & Mehmet Hilmi Ozkaya & Laura Herta & Marius Dan Gavriletea, 2021. "Financial Development, Financial Inclusion and Primary Energy Use: Evidence from the European Union Transition Economies," Energies, MDPI, vol. 14(12), pages 1-14, June.
    408. Honoré Tekam Oumbé & Ronald Djeunankan & Alain Mekia Ndzana, 2023. "Does information and communication technologies affect economic complexity?," SN Business & Economics, Springer, vol. 3(4), pages 1-25, April.
    409. ŞİT Ahmet & EKŞİ İbrahim Halil & BUYURAN Burcu, 2022. "How Important Is Corporate Governance Features And The Lags On Audit Reports In Firm Performance: The Case Of Turkey," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 17(1), pages 218-237, April.
    410. Tough Chinoda & Josphat Nyoni & Maxwell Chufama & Andrew Jeremiah & Martin Dandira, 2021. "The Nexus between Financial Innovation, Financial Inclusion, and Economic growth in Africa: A PMG Approach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(10), pages 544-550, October.
    411. Yilmaz BAYAR, & Naib ALAKBAROV, 2016. "CORRUPTION AND FOREIGN DIRECT INVESTMENT INFLOWS IN EMERGING MARKET ECONOMIES Usak University, Department of Economics, Usak, Turkey," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(2), pages 1-47, July.
    412. Haider Mahmood & Ateeq ur Rehman Irshad & Muhammad Tanveer, 2024. "Do innovation and renewable energy transition play their role in environmental sustainability in Western Europe?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.

  26. Mynbaev, Kairat & Ullah, Aman, 2006. "A Remark on the Asymptotic Distribution of the OLS Estimator for a Purely Autoregressive Spatial Model," MPRA Paper 3318, University Library of Munich, Germany.

    Cited by:

    1. Mynbaev, Kairat, 2006. "Asymptotic Distribution of the OLS Estimator for a Mixed Regressive, Spatial Autoregressive Model," MPRA Paper 4411, University Library of Munich, Germany.

  27. Aman Ullah & Kusum Mundra, 2000. "Semiparametric Panel Data Estimation: An Application to Immigrants Homelink Effect on U.S. Producer Trade Flows," Working papers 78, Centre for Development Economics, Delhi School of Economics.

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    1. 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.

  28. Aman Ullah & Tae-Hwy Lee, 2000. "Nonparametric Bootstrap Tests for Neglected Nonlinearity in Time Series Regression Models," Working papers 77, Centre for Development Economics, Delhi School of Economics.

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    1. Christos Kollias & Suzanna-Maria Paleologou, 2015. "Defence And Non-Defence Spending In The Usa: Stimuli To Economic Growth? Comparative Findings From A Semiparametric Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 67(4), pages 359-370, October.
    2. BERTINELLI, Luisito & STROBL, Eric, 2004. "The Environmental Kuznets Curve semi-parametrically revisited," LIDAM Discussion Papers CORE 2004051, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Henderson, Daniel J. & Carroll, Raymond J. & Li, Qi, 2008. "Nonparametric estimation and testing of fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 144(1), pages 257-275, May.
    4. Manzan, S., 2002. "Model Selection for Nonlinear Time Series," CeNDEF Working Papers 02-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. Yanqin Fan & Qi Li, 2002. "A Consistent Model Specification Test Based On The Kernel Sum Of Squares Of Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 337-352.

  29. Elie Appelbaum & Aman Ullah, 1996. "Estimation of moments and production decisions under uncertainty," Working Papers 1996_9, York University, Department of Economics.

    Cited by:

    1. Moawia, Alghalith, 2009. "Preferences estimation without approximation," MPRA Paper 19309, University Library of Munich, Germany.
    2. Efthymios G. Tsionas, 2014. "On modeling banking risk," Working Papers 183, Bank of Greece.
    3. Tai-Hsin Huang & Ying-Ting Liao & Li-Chih Chiang, 2010. "An examination on the cost efficiency of the banking industry under multiple output prices' uncertainty," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1169-1182.
    4. Alghalith, Moawia, 2008. "Recent applications of theory of the firm under uncertainty," European Journal of Operational Research, Elsevier, vol. 186(2), pages 443-450, April.
    5. Laurens Cherchye & Tom Van Puyenbroeck, 2002. "Profit Efficiency Analysis Under Limited Information. With an Application to German Farm Types," Public Economics Working Paper Series ces0202, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
    6. Robert G. Chambers & Margarita Genius & Vangelis Tzouvelekas, 2021. "Invariant Risk Preferences and Supply Response under Price Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1802-1819, October.
    7. Vollenweider, Xavier & Di Falco, Salvatore & O'Donoghue, Cathal, 2011. "Risk Preferences and Voluntary Agri-environmental Schemes: Does Risk Aversion Explain the Uptake of the Rural Environment Protection Scheme?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115552, European Association of Agricultural Economists.
    8. Hiroshi Nakamura & Naohiko Wakutsu, 2019. "Reducing pharmaceutical reimbursement price risk to lower national health expenditures without lowering R&D incentives," International Journal of Economic Policy Studies, Springer, vol. 13(1), pages 75-88, January.
    9. Elie Appelbaum & Alan D. Woodland, 2010. "The Effects of Foreign Price Uncertainty on Australian Production and Trade," The Economic Record, The Economic Society of Australia, vol. 86(273), pages 162-177, June.
    10. Tsionas, Mike G., 2016. "Parameters measuring bank risk and their estimation," European Journal of Operational Research, Elsevier, vol. 250(1), pages 291-304.
    11. Alghalith, Moawia, 2010. "Preferences estimation without approximation," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1144-1146, December.
    12. Zheng Li & Roderick M. Rejesus & Xiaoyong Zheng, 2021. "Nonparametric Estimation and Inference of Production Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1857-1877, October.
    13. Zhao, Jinhua, 2004. "RURAL LABOR MIGRATION: Migrant Network, Information, and Hysteresis," 2004 Annual meeting, August 1-4, Denver, CO 19990, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Alghalith, Moawia, 2006. "Risk preferences under price uncertainties and production risk: A note," Economic Modelling, Elsevier, vol. 23(3), pages 387-390, May.
    15. Alghalith, Moawia, 2008. "The manufacturing base under energy price uncertainty," Energy Economics, Elsevier, vol. 30(4), pages 1951-1956, July.
    16. Subal Kumbhakar & Efthymios Tsionas, 2010. "Estimation of production risk and risk preference function: a nonparametric approach," Annals of Operations Research, Springer, vol. 176(1), pages 369-378, April.
    17. Parantap Basu & Elie Appelbaum, 2004. "A New Methodology For Studying The Equity Premium," Royal Economic Society Annual Conference 2004 72, Royal Economic Society.
    18. Moawia Alghalith, 2005. "Estimation with price and output uncertainty," Journal of Applied Economics, Universidad del CEMA, vol. 8, pages 247-257, November.
    19. Sckokai, Paolo & Moro, Daniele, 2002. "Modelling The Cap Arable Crop Regime Under Uncertainty," 2002 Annual meeting, July 28-31, Long Beach, CA 19860, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Khayyat, Nabaz T. & Heshmati, Almas, 2014. "Production Risk, Energy Use Efficiency and Productivity of Korean Industries," IZA Discussion Papers 8081, Institute of Labor Economics (IZA).
    21. Elie Appelbaum & Parantap Basu, 2002. "Estimation of the Saving Function without Expected Utility," Working Papers 2002_13, York University, Department of Economics.
    22. Appelbaum, Elie, 2021. "Asset Demand: A Simple Dual Approach," MPRA Paper 113085, University Library of Munich, Germany.
    23. Elie Appelbaum & Ulrich Kohli, 1997. "Import Price Uncertainty And The Distribution Of Income," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 620-630, November.
    24. Nakamura, Hiroshi & Wakutsu, Naohiko, 2020. "Reducing Reimbursement Drug Price Risk to Enhance R&D Incentives without Raising Drug Prices/Expenditures: Implications of Simulations Based on Questionnaire Survey of Pharmaceutical Companies in Japa," Health Policy, Elsevier, vol. 124(7), pages 714-720.
    25. Mark Coppejans & Donna Gilleskie & Holger Sieg & Koleman Strumpf, "undated". "Consumer Demand under Price Uncertainty: Empirical Evidence from the Market for Cigarettes," GSIA Working Papers 2006-E43, Carnegie Mellon University, Tepper School of Business.
    26. Nakashima, Takahiro, 2006. "Linear Structural Models of Production under Price Uncertainty: A Mean-Standard Deviation Approach," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 8, pages 1-11.
    27. Alghalith, Moawia, 2005. "Estimation with Price and Output Uncertainty," Journal of Applied Economics, Universidad del CEMA, vol. 8(2), pages 1-11, November.
    28. Moawia Alghalith, 2006. "Price and output risk: empirical analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 13(6), pages 391-393.
    29. Moawia Alghalith, 2006. "Joint production and price uncertainty: hypothesis tests," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 49(3), pages 265-274.
    30. Elie Appelbaum, 2000. "Estimating the firm's demand and supply functions under uncertainty without expected utility," Working Papers 2000_5, York University, Department of Economics.
    31. Hilmer, Christiana E. & Holt, Matthew T., 2000. "A Comparison Of Resampling Techniques When Parameters Are On A Boundary: The Bootstrap, Subsample Bootstrap, And Subsample Jackknife," 2000 Annual meeting, July 30-August 2, Tampa, FL 21810, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    32. Abdullahi Abdulkadri & Michael Langemeier & Allen Featherstone, 2006. "Estimating economies of scope and scale under price risk and risk aversion," Applied Economics, Taylor & Francis Journals, vol. 38(2), pages 191-201.
    33. Tomasz Gerard Czekaj & Arne Henningsen, 2013. "Panel Data Nonparametric Estimation of Production Risk and Risk Preferences: An Application to Polish Dairy Farms," IFRO Working Paper 2013/6, University of Copenhagen, Department of Food and Resource Economics.
    34. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.

  30. Ullah, A. & Vinod, H.D., 1992. ""General Nonparametric Regression Estimation and Testing in Econometrics"," The A. Gary Anderson Graduate School of Management 92-34, The A. Gary Anderson Graduate School of Management. University of California Riverside.

    Cited by:

    1. Kajal Mukhopadhyay & Lawrence Marsh, 2006. "An approach to nonparametric smoothing techniques for regressions with discrete data," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 301-305.
    2. Jeff Dominitz & Charles F. Manski, 1994. "Using Expectations Data to Study Subjective Income Expectations," Econometrics 9411003, University Library of Munich, Germany.
    3. Fan, Yanqin & Ullah, Aman, 1999. "Asymptotic Normality of a Combined Regression Estimator," Journal of Multivariate Analysis, Elsevier, vol. 71(2), pages 191-240, November.

  31. Ullah, A. & Basu, R., 1992. ""Chinese Earnings-Age Profile : A Nonparametric Analysis," The A. Gary Anderson Graduate School of Management 92-42, The A. Gary Anderson Graduate School of Management. University of California Riverside.

    Cited by:

    1. Henderson Daniel J. & Parmeter Christopher F., 2016. "Teaching Nonparametric Econometrics to Undergraduates," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 179-193, January.
    2. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.

  32. Bera, A.K. & Ullah, A., 1991. "Rao's Score Test in Econometrics," Papers 9143, Tilburg - Center for Economic Research.

    Cited by:

    1. Samarjit Das & Nityananda Sarkar, 2010. "Is the relative risk aversion parameter constant over time? A multi-country study," Empirical Economics, Springer, vol. 38(3), pages 605-617, June.
    2. Anil K. Bera & Yannis Bilias, 2024. "Three Scores and 15 Years (1948-2023) of Rao's Score Test: A Brief History," Papers 2406.19956, arXiv.org, revised Oct 2024.
    3. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.

  33. Ullah, A. & Hwang, J.T., 1991. ""Confidence Sets Centered at James-Stein Estimators--A Surprise Concerning the Unknown Variance Case"," The A. Gary Anderson Graduate School of Management 92-36, The A. Gary Anderson Graduate School of Management. University of California Riverside.

    Cited by:

    1. Takada, Yoshikazu, 1998. "Asymptotic Improvement of the Usual Confidence Set in a Multivariate Normal Distribution with Unknown Variance," Journal of Multivariate Analysis, Elsevier, vol. 64(2), pages 118-130, February.
    2. Boot, Tom, 2023. "Joint inference based on Stein-type averaging estimators in the linear regression model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1542-1563.

  34. Ullah, A. & Walsh, V.Z., 1990. ""On the Estimation of Residual Variance in Nonparametric Regression"," The A. Gary Anderson Graduate School of Management 90-9, The A. Gary Anderson Graduate School of Management. University of California Riverside.

    Cited by:

    1. Ullah, Aman, 2002. "Uses of entropy and divergence measures for evaluating econometric approximations and inference," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 313-326, March.

  35. Aman Ullah & Victoria Zinde-Walsh, 1984. "Estimation and Testing in a Regression Model with Spherically Symmetric Errors," University of Western Ontario, Departmental Research Report Series 8422, University of Western Ontario, Department of Economics.

    Cited by:

    1. Brown, Kenneth & Cribari-Neto, Francisco, 1992. "On Hypothesis Testing: A Selective Look at the Lagrange Multiplier, Likelihood Ratio and Wald Tests," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 12(2), November.

  36. Radhey S. Singh & Aman Ullah, 1984. "Nonparametric Time Series Estimation of Joint DGP, Conditional DGP and Vector Autoregression," University of Western Ontario, Departmental Research Report Series 8423, University of Western Ontario, Department of Economics.

    Cited by:

    1. Wu, Wei Biao & Huang, Yinxiao & Huang, Yibi, 2010. "Kernel estimation for time series: An asymptotic theory," Stochastic Processes and their Applications, Elsevier, vol. 120(12), pages 2412-2431, December.
    2. Mark Broadie & Jérôme Detemple & Eric Ghysels & Olivier Torrès, 1996. "Nonparametric Estimation of American Options Exercise Boundaries and Call Prices," CIRANO Working Papers 96s-24, CIRANO.
    3. Baghli, M. & Cahn, C. & Fraisse, H., 2006. "Is the Inflation-Output Nexus Asymmetric in the Euro Area?," Working papers 140, Banque de France.
    4. Eric Ghysels & Serena Ng, 1996. "A Semi-Parametric Factor Model for Interest Rates," CIRANO Working Papers 96s-18, CIRANO.
    5. Pagan, Adrian & Ullah, Aman, 1988. "The Econometric Analysis of Models with Risk Terms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(2), pages 87-105, April.
    6. John Knight & Fuchun Li & Mingwei Yuan, 2006. "A Semiparametric Two-Factor Term Structure Model," Journal of Financial Econometrics, Oxford University Press, vol. 4(2), pages 204-237.

  37. Glenn M. MacDonald & James R. Markusen, 1984. "A Rehabilitation of Absolute Advantage," University of Western Ontario, Departmental Research Report Series 8410, University of Western Ontario, Department of Economics.

    Cited by:

    1. C. Edward Fee, 2006. "Promotions in the Internal and External Labor Market: Evidence from Professional Football Coaching Careers," The Journal of Business, University of Chicago Press, vol. 79(2), pages 821-850, March.
    2. Matsui, Akihiko & Postlewaite, Andrew, 2000. "Specialization of Labor and the Distribution of Income," Games and Economic Behavior, Elsevier, vol. 33(1), pages 72-89, October.
    3. Andrew J. Epstein & Jonathan D. Ketcham & Sean Nicholson, 2010. "Specialization and matching in professional services firms," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 811-834, December.
    4. Reinhard Schumacher, 2013. "Deconstructing the Theory of Comparative Advantage," World Economic Review, World Economics Association, vol. 2013(2), pages 1-83, February.
    5. John J. Seater, 2005. "Trade, Growth, and Technology Equalization," DEGIT Conference Papers c010_008, DEGIT, Dynamics, Economic Growth, and International Trade.
    6. Alexander K. Koch & Eloïc Peyrache, 2011. "Aligning Ambition and Incentives," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 27(3), pages 655-688.
    7. Fang, Jieyan & Kempf, Alexander & Trapp, Monika, 2014. "Fund Manager Allocation," Journal of Financial Economics, Elsevier, vol. 111(3), pages 661-674.
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  38. Aman Ullah & Victoria Zinde-Walsh, 1983. "On the Robustness of LM, LR and W Tests in Regression Models," University of Western Ontario, Departmental Research Report Series 8316, University of Western Ontario, Department of Economics.

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    1. Phillips, Peter C. B., 1988. "Conditional and unconditional statistical independence," Journal of Econometrics, Elsevier, vol. 38(3), pages 341-348, July.
    2. Akio Namba & Kazuhiro Ohtani, 2007. "Risk comparison of the Stein-rule estimator in a linear regression model with omitted relevant regressors and multivariatet errors under the Pitman nearness criterion," Statistical Papers, Springer, vol. 48(1), pages 151-162, January.
    3. Hu Yang & Jianwen Xu, 2011. "Preliminary test Liu estimators based on the conflicting W, LR and LM tests in a regression model with multivariate Student-t error," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(3), pages 275-292, May.
    4. M. Arashi & A. Saleh & S. Tabatabaey, 2010. "Estimation of parameters of parallelism model with elliptically distributed errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 71(1), pages 79-100, January.
    5. Bera, A.K. & Ullah, A., 1991. "RAO's Score Test in Econometrics," Discussion Paper 1991-43, Tilburg University, Center for Economic Research.
    6. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    7. Akio Namba, 2001. "MSE performance of the 2SHI estimator in a regression model with multivariate t error terms," Statistical Papers, Springer, vol. 42(1), pages 81-96, January.
    8. Arashi, M. & Tabatabaey, S.M.M., 2009. "Improved variance estimation under sub-space restriction," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1752-1760, September.

  39. Ullah, A. & Srivastava, V.K. & Chandra, R., 1983. "Properties of shrinkageestimators in linear regression when disturbances are not normal," LIDAM Reprints CORE 518, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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    1. Sanjay Verma & R. Singh, 2003. "A modified generalized mixed regression estimator when disturbances are nonnormal," Statistical Papers, Springer, vol. 44(2), pages 233-248, April.
    2. Sanjay Verma & R. Karan Singh, 2002. "Estimation in restricted regression model with multivariate t distributed error," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 67-82.
    3. Shalabh,, 2013. "A revisit to efficient forecasting in linear regression models," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 161-170.
    4. Yong Bao & Aman Ullah, 2009. "Expectation of Quadratic Forms in Normal and Nonnormal Variables with Econometric Applications," Working Papers 200907, University of California at Riverside, Department of Economics, revised Jun 2009.
    5. Feng Xu & Zekai He, 2020. "Testing slope homogeneity in panel data models with a multifactor error structure," Statistical Papers, Springer, vol. 61(1), pages 201-224, February.
    6. Achille VERNIZZI & Rino GOLLER & Paolo SAIS, 1995. "On the Use of Shrinkage Estimators in Filtering Extraneous Information," Departmental Working Papers 1995-15, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano, revised 12 May 2016.
    7. Čížek, Pavel, 2004. "(Non) Linear Regression Modeling," Papers 2004,11, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).

  40. Sam Bucovetsky & J Chilton, 1983. "Concurrent Renting and Selling in a Durable-Goods Monopoly Under Threat of Entry," University of Western Ontario, Departmental Research Report Series 8317, University of Western Ontario, Department of Economics.

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    1. Sreekumar R. Bhaskaran & Stephen M. Gilbert, 2009. "Implications of Channel Structure for Leasing or Selling Durable Goods," Marketing Science, INFORMS, vol. 28(5), pages 918-934, 09-10.
    2. Preyas Desai & Devavrat Purohit, 1998. "Leasing and Selling: Optimal Marketing Strategies for a Durable Goods Firm," Management Science, INFORMS, vol. 44(11-Part-2), pages 19-34, November.
    3. Amagoia Sagasta & José M. Usategui, 2015. "Purchase and rental subsidies in durable-oligopolies," Hacienda Pública Española / Review of Public Economics, IEF, vol. 213(2), pages 11-40, June.
    4. Jennifer Zhang & Abraham Seidmann, 2006. "Selling and Leasing Software with Network Externality," Working Papers 06-13, NET Institute, revised Aug 2006.
    5. Gregory Goering & Michael Pippenger, 2002. "Durable Goods Monopoly and Forward Markets," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 9(2), pages 271-282.
    6. Jun Pei & Ping Yan & Subodha Kumar & Xinbao Liu, 2021. "How to React to Internal and External Sharing in B2C and C2C," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 145-170, January.
    7. Hiroshi Kitamura & Noriaki Matsushima & Misato Sato, 2023. "Which is better for durable goods producers, exclusive or open supply chain?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 158-176, January.
    8. Gregory E. Goering, 2012. "Taxation and Durable-Goods Monopoly: Does a Current Tax Influence Firm Behavior?," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 20-28, August.
    9. Sagasta Elorza, Amagoia & Usategui Díaz de Otalora, José María, 2012. "Optimal overall emissions taxation in durable goods oligopoly," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    10. S. Huang & Y. Yang & K. Anderson, 2001. "A Theory of Finitely Durable Goods Monopoly with Used-Goods Market and Transaction Costs," Management Science, INFORMS, vol. 47(11), pages 1515-1532, November.
    11. Hung-Ken Chien & C. Y. Cyrus Chu, 2008. "Sale or Lease? Durable-Goods Monopoly with Network Effects," Marketing Science, INFORMS, vol. 27(6), pages 1012-1019, 11-12.
    12. Purohit, Devavrat, 1995. "Marketing Channels and the Durable Goods Monopolist: Renting versus Selling Reconsidered," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 4(1), pages 69-84, Spring.
    13. Saggi, Kamal & Vettas, Nikolaos, 1999. "Leasing versus Selling and Firm Efficiency in Oligopoly," Working Papers 99-07, Duke University, Department of Economics.
    14. Heidrun C. Hoppe & In Ho Lee, 2000. "Entry Deterrence in Durable-Goods Monopoly," Econometric Society World Congress 2000 Contributed Papers 0610, Econometric Society.
    15. Sreekumar R. Bhaskaran & Stephen M. Gilbert, 2005. "Selling and Leasing Strategies for Durable Goods with Complementary Products," Management Science, INFORMS, vol. 51(8), pages 1278-1290, August.
    16. Jia, Kunhao & Liao, Xiuwu & Feng, Juan, 2018. "Selling or leasing? Dynamic pricing of software with upgrades," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1044-1061.
    17. Preyas S. Desai & Devavrat Purohit, 1999. "Competition in Durable Goods Markets: The Strategic Consequences of Leasing and Selling," Marketing Science, INFORMS, vol. 18(1), pages 42-58.
    18. Eduard Stoppel & Stefan Roth, 2017. "The conceptualization of pricing schemes: From product-centric to customer-centric value approaches," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(1), pages 76-90, February.
    19. Usategui Díaz de Otalora, José María, 2001. "Commitment Power in a Non-Stationary Durable-Good Market," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    20. Liang Guo & J. Miguel Villas‐Boas, 2007. "Consumer Stockpiling and Price Competition in Differentiated Markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(4), pages 827-858, December.
    21. Marco A. Haan, 2003. "Vaporware as a Means of Entry Deterrence," Journal of Industrial Economics, Wiley Blackwell, vol. 51(3), pages 345-358, September.
    22. Yan, Wei & Li, Youwei & Wu, Ying & Palmer, Mark, 2016. "A rising e-channel tide lifts all boats? The impact of manufacturer multi-channel encroachment on traditional selling and leasing," MPRA Paper 70747, University Library of Munich, Germany.
    23. Andrikopoulos, Athanasios & Markellos, Raphael. N, 2012. "Dynamic interaction between markets for leasing and selling automobiles," MPRA Paper 45225, University Library of Munich, Germany.
    24. Poddar, Sougata, 2004. "Strategic choice in durable goods market when firms move simultaneously," Research in Economics, Elsevier, vol. 58(2), pages 175-186, June.
    25. Kim, Jae-Cheol & Kim, Min-Young & Chun, Se-Hak, 2014. "Property tax and its effects on strategic behavior of leasing and selling for a durable-goods monopolist," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 132-144.
    26. Stephen M. Gilbert & Sreelata Jonnalagedda, 2011. "Durable Products, Time Inconsistency, and Lock-in," Management Science, INFORMS, vol. 57(9), pages 1655-1670, September.
    27. Hoppe, Heidrun C. & Lee, In Ho, 2003. "Entry deterrence and innovation in durable-goods monopoly," European Economic Review, Elsevier, vol. 47(6), pages 1011-1036, December.
    28. Xiong, Yu & Yan, Wei & Fernandes, Kiran & Xiong, Zhong-Kai & Guo, Nian, 2012. "“Bricks vs. Clicks”: The impact of manufacturer encroachment with a dealer leasing and selling of durable goods," European Journal of Operational Research, Elsevier, vol. 217(1), pages 75-83.
    29. Michael Waldman, 2003. "Durable Goods Theory for Real World Markets," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 131-154, Winter.
    30. Li, Jin & Shi, Victor, 2019. "The benefit of horizontal decentralization in durable good procurement," Omega, Elsevier, vol. 82(C), pages 13-23.
    31. Li, Changying & Geng, Xiaoyan, 2008. "Licensing to a durable-good monopoly," Economic Modelling, Elsevier, vol. 25(5), pages 876-884, September.
    32. Jian Li & Huan Wang & Zhiwen Deng & Wen Zhang & Guoqing Zhang, 2022. "Leasing or selling? The channel choice of durable goods manufacturer considering consumers’ capital constraint," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 317-350, June.
    33. Athanasopoulos, Thanos, 2015. "Efficient Upgrading in Durable Network Goods: Is Commitment Always Good?," Economic Research Papers 270543, University of Warwick - Department of Economics.
    34. Cerquera Dussán, Daniel, 2007. "Durable Goods, Innovation and Network Externalities," ZEW Discussion Papers 07-086, ZEW - Leibniz Centre for European Economic Research.

  41. David Laidler, 1983. "The "Buffer Stock" Notion in Monetary Economics," University of Western Ontario, Departmental Research Report Series 8313, University of Western Ontario, Department of Economics.

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    1. Luis E. Arango & Andrés González, 2000. "A Nonlinear Specification of Demand for Cash in Colombia," Money Affairs, CEMLA, vol. 0(2), pages 207-226, July-Dece.
    2. Jon Cockerline & John F. Helliwell & Robert Lafrance, 1990. "Multicountry modeling of financial markets," Proceedings, Board of Governors of the Federal Reserve System (U.S.), pages 305-363.
    3. Rohan Baxter, 1993. "The Loans Standard Model of Credit Money," Working Papers 93/183, Monash University, Department of Compter Studies.
    4. Michael D. Bordo & Lars Jonung, 1989. "The Long-Run Behavior of Velocity: The Institutional Approach Revisited," NBER Working Papers 3204, National Bureau of Economic Research, Inc.
    5. Hansjoerg Klausinger, 2000. "Walras' Law and the IS-LM Model. A Tale of Progress and Regress," Department of Economics Working Papers wuwp069, Vienna University of Economics and Business, Department of Economics.
    6. Calza, Alessandro & Zaghini, Andrea, 2006. "Non-linear dynamics in the euro area demand for M1," Working Paper Series 592, European Central Bank.
    7. Bordo, Michael D., 1986. "Explorations in monetary history: A survey of the literature," Explorations in Economic History, Elsevier, vol. 23(4), pages 339-415, October.
    8. Marcus Scheiblecker, 2017. "Modelling Short-run Money Demand for the US," Applied Economics and Finance, Redfame publishing, vol. 4(5), pages 9-20, September.
    9. Luis Eduardo Arango & Andrés González, 1999. "A Nonlinear Specification Of Demand For Narrow Money In Colombia," Borradores de Economia 1894, Banco de la Republica.
    10. James Heckman & Neil Hohmann & Jeffrey Smith, 1998. "Substitution and Dropout Bias in Social Experiments: A Study of an Influential Social Experiment," University of Western Ontario, Departmental Research Report Series 9818, University of Western Ontario, Department of Economics.
    11. Ryland Thomas, 1997. "The Demand for M4: A Sectoral Analysis. Part 1 - The Personal Sector," Bank of England working papers 61, Bank of England.
    12. Zenón Quispe, 2000. "Monetary Policy in a Dollarized Economy: the Case of Peru," Money Affairs, CEMLA, vol. 0(2), pages 167-206, July-Dece.
    13. Maghyereh, Aktham, 2003. "Financial Liberalization and Stability Demand for Money in Emerging Economies: Evidence from Jordan," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 3(2).
    14. Erwin W. Heri, 1988. "Money Demand Regressions and Monetary Targeting Theory and Stylized Evidence," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 124(II), pages 123-149, June.
    15. Calza, Alessandro & Zaghini, Andrea, 2009. "Nonlinearities In The Dynamics Of The Euro Area Demand For M1," Macroeconomic Dynamics, Cambridge University Press, vol. 13(1), pages 1-19, February.
    16. Forrest H. Capie & Geoffrey E. Wood, 1989. "Anna Schwartz's Perspective on British Economic History," NBER Chapters, in: Money, History, and International Finance: Essays in Honor of Anna J. Schwartz, pages 79-114, National Bureau of Economic Research, Inc.
    17. Goodhart, Charles, 1989. "The Conduct of Monetary Policy," Economic Journal, Royal Economic Society, vol. 99(396), pages 293-346, June.
    18. K. Cuthbertson & D. Nitzsche & S. Hyde, 2007. "Monetary Policy And Behavioural Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 935-969, December.
    19. Michael Bordo & Anna J. Schwartz, 2010. "David Laidler on Monetarism," Palgrave Macmillan Books, in: Robert Leeson (ed.), David Laidler’s Contributions to Economics, chapter 3, pages 44-59, Palgrave Macmillan.
    20. Daniel L. Thornton, 1998. "The Federal Reserve's operating procedure, nonborrowed reserves, borrowed reserves and the liquidity effect," Working Papers 1998-009, Federal Reserve Bank of St. Louis.
    21. Agustín G. Cartens & Alejandro M. Werner, 2000. "Mexico's Monetary Policy Framework Under a Floating Exchange Rate Regime," Money Affairs, CEMLA, vol. 0(2), pages 113-165, July-Dece.
    22. Visser, H., 1989. "The demand for money," Serie Research Memoranda 0073, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    23. George S. Tavlas, 1989. "Interpreting Keynes: Reflections on the Leijonhufvud-Yeager Discussion," Cato Journal, Cato Journal, Cato Institute, vol. 9(1), pages 237-252, Spring/Su.
    24. Liu, Jingyang & Kool, Clemens J.M., 2018. "Money and credit overhang in the euro area," Economic Modelling, Elsevier, vol. 68(C), pages 622-633.
    25. Wilko Bolt & Maarten R.C. Van Oordt, 2020. "On the Value of Virtual Currencies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(4), pages 835-862, June.
    26. Martin Schmidt, 2003. "Monetary dynamics: a market approach," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 139-152.
    27. Neil R. Ericsson & David F. Hendry, 1990. "Modeling the demand for narrow money in the United Kingdom and the United States," International Finance Discussion Papers 383, Board of Governors of the Federal Reserve System (U.S.).
    28. Martin B. Schmidt, 2004. "Exogeneity within the M2 Demand Function: Evidence from a Large Macroeconomic System," Economic Inquiry, Western Economic Association International, vol. 42(4), pages 634-646, October.
    29. McLeay, Michael & Radia, Amar & Thomas, Ryland, 2014. "Money creation in the modern economy," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 14-27.
    30. Martin Schmidt, 2007. "The long and short of money: short-run dynamics within a structural model," Applied Economics, Taylor & Francis Journals, vol. 40(2), pages 175-192.
    31. Martin Schmidt, 2003. "Money and prices: evidence from the G7 countries," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1799-1809.
    32. Shamik Dhar & Stephen P Millard, 2000. "A limited participation model of the monetary transmission mechanism in the United Kingdom," Bank of England working papers 117, Bank of England.
    33. K. Alec Chrystal, 1984. "Money and sectoral output dynamics in the United States, quarterly 1950/III to 1982/IV," Working Papers 1984-020, Federal Reserve Bank of St. Louis.
    34. Mizen, Paul, 1996. "Modeling the demand for money in the industrial and commercial companies sector in the United Kingdom," Journal of Policy Modeling, Elsevier, vol. 18(4), pages 445-467, August.
    35. Jan Tin, 2010. "The buffer stock model of money demand: evidence from panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 17(4), pages 357-360.
    36. Daniel L. Thornton, 2000. "Money in a theory of exchange," Review, Federal Reserve Bank of St. Louis, vol. 82(Jan), pages 35-60.
    37. Marvin Goodfriend & Bennett T. McCallum, 1988. "Theoretical analysis of the demand of money," Economic Review, Federal Reserve Bank of Richmond, vol. 74(Jan), pages 16-24.
    38. Ulrich Kohli & Georg Rich, 1986. "Monetary Control: The Swiss Experience," Cato Journal, Cato Journal, Cato Institute, vol. 5(3), pages 911-926, Winter.
    39. Jan Korda, 2011. "Monetární nerovnováha v teorii endogenních peněz [Monetary Disequilibrium in the Theory of Endogenous Money]," Politická ekonomie, Prague University of Economics and Business, vol. 2011(5), pages 680-705.
    40. Piet-Hein Van Eeghen, 2011. "Rethinking equilibrium conditions in macromonetary theory: A conceptually rigorous approach," Working Papers 255, Economic Research Southern Africa.

  42. H. D. Vinod & Aman Ullah & Krishna Kadiyala, 1978. "Evaluation of the Mean Squared Error of Certain Generalized Ridge Estimators," University of Western Ontario, Departmental Research Report Series 7832, University of Western Ontario, Department of Economics.

    Cited by:

    1. Holloway, Garth J., 1992. "Consistent Conjectures In Symmetric Equilibria," Working Papers 225873, University of California, Davis, Department of Agricultural and Resource Economics.
    2. Dorsainvil, Daniel & Lopez, Rigoberto A., 1988. "The Sources of Oligopsony Power in the Haitian Coffee Market," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270443, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Perloff, Jeffrey M., 1991. "Econometric Analysis of Imperfect Competition and Implications for Trade Research," Occasional Papers 233065, Regional Research Project NC-194: Organization and Performance of World Food Systems.
    4. Cranfield, John & Goddard, Ellen, 1995. "Advertising And Oligopoly Power In The North American Beef Processing Sector," Economic Analysis of Meat Promotion, June 2-3, 1995, Denver, Colorado 279610, Regional Research Projects > NECC-63: Research Committee on Commodity Promotion.
    5. Jung, Jinho & Sesmero, Juan Pablo & Balagtas, Joseph V., 2017. "Market Power in Feedstock Procurement and Economic Effects of Corn Ethanol," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258544, Agricultural and Applied Economics Association.
    6. Holloway, Garth J. & Hertel, Thomas W., 1991. "Comparing Hypotheses About Competition," Working Papers 225867, University of California, Davis, Department of Agricultural and Resource Economics.
    7. Dae-Wook Kim & Christopher R. Knittel, 2004. "Biases in Static Oligopoly Models? Evidence from the California Electricity Market," NBER Working Papers 10895, National Bureau of Economic Research, Inc.
    8. Nubern, Chris A. & Purcell, Wayne D., 1997. "Competitiveness of Dairy Producers in a Deregulated Market," Staff Papers 232553, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
    9. Karp, Larry S. & Perloff, Jeffrey M., 1987. "Estimating market structure and tax incidence: the Japanese television market," CUDARE Working Papers 6095, University of California, Berkeley, Department of Agricultural and Resource Economics.
    10. N/A, 1986. "Testing For Price Taking Behavior In Input Markets: An Application To The Meat Packing Industry," 1986 Annual Meeting, July 27-30, Reno, Nevada 278440, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Cranfield, John & Cousineau, Linda & Swidinsky, Mike & Lai, Huiwen & Goddard, Ellen & Rude, James, 1995. "Oligopoly Power in the Canadian Food Process Industry- Further Results," Working Papers 244807, University of Guelph, Department of Food, Agricultural and Resource Economics.
    12. Holloway, Garth J., 1995. "Conjectural Variations With Fewer Apologies," Working Papers 225880, University of California, Davis, Department of Agricultural and Resource Economics.
    13. Wann, Joyce J. & Sexton, Richard J., 1991. "Imperfect Competition In Multiproduct Food Industries With Application To Pear Processing," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271370, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Fofana, Abdulai & Jaffry, Shabbar, 2008. "Measuring Oligopsony Power of UK Salmon Retailers," Working Papers 61116, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    15. Lass, Daniel A. & Lavoie, Nathalie & Fetter, T. Robert, 2005. "Market Power in Direct Marketing of Fresh Produce: Community Supported Agriculture Farms," Working Paper Series 14514, University of Massachusetts, Amherst, Department of Resource Economics.
    16. Isayenko Oleksiy & Maryanchyk Ivan, 2006. "Market power in oligopoly: The case of the Ukrainian cement industry," EERC Working Paper Series 06-06e, EERC Research Network, Russia and CIS.
    17. Holloway, Garth J., 1992. "The Representative Firm, Endogenous Output Decisions And Consistent Conjectural Variations In Oligopoly," Working Papers 225876, University of California, Davis, Department of Agricultural and Resource Economics.
    18. Franz Sinabell, 2005. "Marktspannen und Erzeugeranteil an den Ausgaben für Nahrungsmittel," WIFO Studies, WIFO, number 25398.

  43. Baldev Raj & V. K. Srivastava & Aman Ullah, 1978. "Generalized Two Stage Least Squares Estimators for a Structural Equation with Both Fixed and Random Coefficients," University of Western Ontario, Departmental Research Report Series 7835, University of Western Ontario, Department of Economics.

    Cited by:

    1. Michael Bates & Seolah Kim, 2019. "Estimating the Price Elasticity of Gasoline Demand in Correlated Random Coefficient Models with Endogeneity," Working Papers 202021, University of California at Riverside, Department of Economics, revised Jul 2020.
    2. Michael Bates & Seolah Kim, 2019. "Per-Cluster Instrumental Variables Estimation: Uncovering the Price Elasticity of the Demand for Gasoline," Working Papers 202003, University of California at Riverside, Department of Economics.

  44. Aman Ullah & Shobha Ullah, 1976. "Double k-Class Estimators of Coefficients in Linear Regression," University of Western Ontario, Departmental Research Report Series 7617, University of Western Ontario, Department of Economics.

    Cited by:

    1. Ullah, A. & Vinod, H. D. & Kadiyala, R. K., 1978. "A Family Of Improved Ordinary Ridge Estimators," Econometric Institute Archives 272169, Erasmus University Rotterdam.
    2. Tran Van Hoa, 2000. "Recent Significant Advances in Estimating and Forecasting Theories and Economic Modelling: With Applications to Asian Investment Studies," Economics Working Papers wp00-01, School of Economics, University of Wollongong, NSW, Australia.
    3. Tran Van Hoa, 2002. "WTO Membership for China and Its Impact on Growth, Investment and Consumption: A New Flexible Keynesian Approach," Economics Working Papers wp02-04, School of Economics, University of Wollongong, NSW, Australia.
    4. Judge, George G. & Mittelhammer, Ronald C., 2003. "A Semi-Parametric Basis for Combining Estimation Problems Under Quadratic Loss," CUDARE Working Papers 25103, University of California, Berkeley, Department of Agricultural and Resource Economics.
    5. Wan, Alan T. K. & Chaturvedi, Anoop, 2001. "Double k-Class Estimators in Regression Models with Non-spherical Disturbances," Journal of Multivariate Analysis, Elsevier, vol. 79(2), pages 226-250, November.
    6. Kazuhiro Ohtani & Alan Wan, 2002. "ON THE USE OF THE STEIN VARIANCE ESTIMATOR IN THE DOUBLE k-CLASS ESTIMATOR IN REGRESSION," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 121-134.
    7. Namba, Akio, 2003. "PMSE dominance of the positive-part shrinkage estimator in a regression model when relevant regressors are omitted," Statistics & Probability Letters, Elsevier, vol. 63(4), pages 375-385, July.
    8. Chaturvedi, Anoop & Shalabh, 2004. "Risk and Pitman closeness properties of feasible generalized double k-class estimators in linear regression models with non-spherical disturbances under balanced loss function," Journal of Multivariate Analysis, Elsevier, vol. 90(2), pages 229-256, August.
    9. Tran Van Hoa, 2003. "New Asian Regionalism: Evidence of ASEAN+3 Free Trade Agreement From Extended Gravity Theory and New Modelling Approach," Economics Working Papers wp03-03, School of Economics, University of Wollongong, NSW, Australia.
    10. Tran Van Hoa, 2003. "Growth of Asian Regional Trade and Income Convergence: Evidence from ASEAN+3 Based on Extended Helpman-Krugman Hypothesis and Flexible Modelling Approach," Economics Working Papers wp03-02, School of Economics, University of Wollongong, NSW, Australia.
    11. Tran Van Hoa, 2004. "Australia-Thailand Free Trade Agreement: Challenges and Opportunities for Bilateral Trade Policy and Closer Economic Relations," Economics Working Papers wp04-12, School of Economics, University of Wollongong, NSW, Australia.
    12. Shalabh, & Garg, G. & Heumann, C., 2012. "Performance of double k-class estimators for coefficients in linear regression models with non-spherical disturbances under asymmetric losses," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 35-47.
    13. Chaturvedi, Anoop & Gupta, Suchita & Bhatti, M. Ishaq, 2012. "Confidence ellipsoids based on a general family of shrinkage estimators for a linear model with non-spherical disturbances," Journal of Multivariate Analysis, Elsevier, vol. 104(1), pages 140-158, February.
    14. Ohtani, Kazuhiro, 2001. "MSE dominance of the pre-test iterative variance estimator over the iterative variance estimator in regression," Statistics & Probability Letters, Elsevier, vol. 54(3), pages 331-340, October.
    15. Akio Namba, 2003. "On the use of the Stein variance estimator in the double k-class estimator when each individual regression coefficient is estimated," Statistical Papers, Springer, vol. 44(1), pages 117-124, January.
    16. Pal, Amresh Bahadur & Dubey, Ashutosh Kumar & Chaturvedi, Anoop, 2016. "Shrinkage estimation in spatial autoregressive model," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 362-373.
    17. Zou, Guohua & Wan, Alan T.K. & Wu, Xiaoyong & Chen, Ti, 2007. "Estimation of regression coefficients of interest when other regression coefficients are of no interest: The case of non-normal errors," Statistics & Probability Letters, Elsevier, vol. 77(8), pages 803-810, April.

  45. David Laidler, 1976. "Expectations and the Behavior of Prices and Output under Fixed and Flexible Exchange Rates," University of Western Ontario, Departmental Research Report Series 7620, University of Western Ontario, Department of Economics.

    Cited by:

    1. Stephen Turnovsky, 1979. "On the insulation properties of flexible exchange rates," Revue Économique, Programme National Persée, vol. 30(4), pages 719-746.

  46. Aman Ullah & Raveendra Batra & Balvir Singh, 1975. "On the Estimation of the Cobb-Douglas Production Function under Uncertainty," University of Western Ontario, Departmental Research Report Series 7526, University of Western Ontario, Department of Economics.

    Cited by:

    1. Mariano Tommasi, 1996. "High inflation: resource misallocations and growth effects," Estudios de Economia, University of Chile, Department of Economics, vol. 23(2 Year 19), pages 157-177, December.

Articles

  1. Tae‐Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Optimal forecast under structural breaks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 965-987, August.
    See citations under working paper version above.
  2. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
    See citations under working paper version above.
  3. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    See citations under working paper version above.
  4. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    See citations under working paper version above.
  5. Lee Tae-Hwy & Mao Millie Yi & Ullah Aman, 2021. "Maximum Entropy Analysis of Consumption-based Capital Asset Pricing Model and Volatility," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 1-19, January.
    See citations under working paper version above.
  6. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    See citations under working paper version above.
  7. Tae-Hwy Lee & Aman Ullah & He Wang, 2019. "The Second-Order Asymptotic Properties of Asymmetric Least Squares Estimation," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 201-233, September.
    See citations under working paper version above.
  8. Amos Golan & Aman Ullah, 2017. "Interval estimation: An information theoretic approach," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 781-795, October.

    Cited by:

    1. Sun, Yuying & Han, Ai & Hong, Yongmiao & Wang, Shouyang, 2018. "Threshold autoregressive models for interval-valued time series data," Journal of Econometrics, Elsevier, vol. 206(2), pages 414-446.
    2. Sun, Yuying & Zhang, Xinyu & Wan, Alan T.K. & Wang, Shouyang, 2022. "Model averaging for interval-valued data," European Journal of Operational Research, Elsevier, vol. 301(2), pages 772-784.
    3. Piao Wang & Shahid Hussain Gurmani & Zhifu Tao & Jinpei Liu & Huayou Chen, 2024. "Interval time series forecasting: A systematic literature review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 249-285, March.
    4. Chen, Simiao & Prettner, Klaus & Kuhn, Michael & Bloom, David E., 2021. "The economic burden of COVID-19 in the United States: Estimates and projections under an infection-based herd immunity approach," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).
    5. Haowen Bao & Yongmiao Hong & Yuying Sun & Shouyang Wang, 2024. "Sparse Interval-valued Time Series Modeling with Machine Learning," Papers 2411.09452, arXiv.org.

  9. Aman Ullah & Alan T. K. Wan & Huansha Wang & Xinyu Zhang & Guohua Zou, 2017. "A semiparametric generalized ridge estimator and link with model averaging," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 370-384, March.
    See citations under working paper version above.
  10. Yong Bao & Aman Ullah & Yun Wang, 2017. "Distribution of the mean reversion estimator in the Ornstein–Uhlenbeck process," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 1039-1056, October.

    Cited by:

    1. Zi‐Yi Guo, 2021. "Out‐of‐sample performance of bias‐corrected estimators for diffusion processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 243-268, March.
    2. Yong Bao & Xiaotian Liu & Aman Ullah, 2020. "On the Exact Statistical Distribution of Econometric Estimators and Test Statistics," Working Papers 202014, University of California at Riverside, Department of Economics, revised Jun 2020.
    3. Yiu Lim Lui & Weilin Xiao & Jun Yu, 2022. "The Grid Bootstrap for Continuous Time Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1390-1402, June.
    4. Jianghao Chu & Tae-Hwy Lee & Aman Ullah & Haifeng Xu, 2020. "Exact Distribution of the F-statistic under Heteroskedasticity of Unknown Form for Improved Inference," Working Papers 202027, University of California at Riverside, Department of Economics.
    5. Emma M. Iglesias & Garry D. A. Phillips, 2020. "Further Results on Pseudo‐Maximum Likelihood Estimation and Testing in the Constant Elasticity of Variance Continuous Time Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 357-364, March.

  11. Liangjun Su & Yundong Tu & Aman Ullah, 2015. "Testing Additive Separability of Error Term in Nonparametric Structural Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1057-1088, December.

    Cited by:

    1. Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
    2. Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
    3. Laura Schmitz, 2022. "Heterogeneous Effects of After-School Care on Child Development," Discussion Papers of DIW Berlin 2006, DIW Berlin, German Institute for Economic Research.
    4. Hoderlein, Stefan & Su, Liangjun & White, Halbert & Yang, Thomas Tao, 2016. "Testing for monotonicity in unobservables under unconfoundedness," Journal of Econometrics, Elsevier, vol. 193(1), pages 183-202.
    5. Andrii Babii & Jean-Pierre Florens, 2017. "Are Unobservables Separable?," Papers 1705.01654, arXiv.org, revised Mar 2021.
    6. 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.

  12. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2015. "Forecasting Equity Premium: Global Historical Average Versus Local Historical Average and Constraints," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 393-402, July.
    See citations under working paper version above.
  13. Bao, Yong & Ullah, Aman & Wang, Yun & Yu, Jun, 2015. "Bias in the estimation of mean reversion in continuous-time Lévy processes," Economics Letters, Elsevier, vol. 134(C), pages 16-19.

    Cited by:

    1. Zi‐Yi Guo, 2021. "Out‐of‐sample performance of bias‐corrected estimators for diffusion processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 243-268, March.
    2. Emma M. Iglesias & Garry D. A. Phillips, 2020. "Further Results on Pseudo‐Maximum Likelihood Estimation and Testing in the Constant Elasticity of Variance Continuous Time Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 357-364, March.

  14. Sainan Jin & Liangjun Su & Aman Ullah, 2014. "Robustify Financial Time Series Forecasting with Bagging," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 575-605, August.

    Cited by:

    1. Özen, Kadir & Yıldırım, Dilem, 2021. "Application of bagging in day-ahead electricity price forecasting and factor augmentation," Energy Economics, Elsevier, vol. 103(C).
    2. Manuel Lukas & Eric Hillebrand, 2014. "Bagging Weak Predictors," CREATES Research Papers 2014-01, Department of Economics and Business Economics, Aarhus University.
    3. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    4. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
    5. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic predictions with big data: the illusion of sparsity," Staff Reports 847, Federal Reserve Bank of New York.
    6. Dantas, Tiago Mendes & Cyrino Oliveira, Fernando Luiz, 2018. "Improving time series forecasting: An approach combining bootstrap aggregation, clusters and exponential smoothing," International Journal of Forecasting, Elsevier, vol. 34(4), pages 748-761.
    7. Yongmiao Hong & Tae-Hwy Lee & Yuying Sun & Shouyang Wang & Xinyu Zhang, 2017. "Time-varying Model Averaging," Working Papers 202001, University of California at Riverside, Department of Economics.
    8. Kitova, Olga & Savinova, Victoria, 2021. "Development of an Ensemble of Models for Predicting Socio-Economic Indicators of the Russian Federation using IRT-Theory and Bagging Methods," MPRA Paper 110824, University Library of Munich, Germany.
    9. Xun Lu & Liangjun Su, 2014. "Jackknife Model Averaging for Quantile Regressions," Working Papers 11-2014, Singapore Management University, School of Economics.
    10. Tanja Markovic-Hribernik & Matej Tomec, 2015. "Bad Bank And Other Possible Banks’ Rescuing Models – The Case Of Slovenia," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 128-141, January.
    11. Kadir Özen & Dilem Yıldırım, 2021. "Application of Bagging in Day-Ahead Electricity Price Forecasting and Factor Augmentation," ERC Working Papers 2101, ERC - Economic Research Center, Middle East Technical University, revised Apr 2021.
    12. Hu, Huanling & Wang, Lin & Peng, Lu & Zeng, Yu-Rong, 2020. "Effective energy consumption forecasting using enhanced bagged echo state network," Energy, Elsevier, vol. 193(C).
    13. Pedro Henrique Melo Albuquerque & Yaohao Peng & João Pedro Fontoura da Silva, 2022. "Making the whole greater than the sum of its parts: A literature review of ensemble methods for financial time series forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1701-1724, December.
    14. Luo, Qin & Bu, Jinfeng & Xu, Weiju & Huang, Dengshi, 2023. "Stock market volatility prediction: Evidence from a new bagging model," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 445-456.
    15. Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023. "Penalized Model Averaging for High Dimensional Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202302, University of Kansas, Department of Economics, revised Jan 2023.

  15. Aman Ullah & Huansha Wang, 2013. "Parametric and Nonparametric Frequentist Model Selection and Model Averaging," Econometrics, MDPI, vol. 1(2), pages 1-23, September.

    Cited by:

    1. Steven Lehrer & Tian Xie, 2020. "The Bigger Picture: Combining Econometrics with Analytics Improve Forecasts of Movie Success," Working Paper 1449, Economics Department, Queen's University.
    2. Janusz Sowinski, 2021. "The Impact of the Selection of Exogenous Variables in the ANFIS Model on the Results of the Daily Load Forecast in the Power Company," Energies, MDPI, vol. 14(2), pages 1-18, January.
    3. Aman Ullah & Xinyu Zhang, 2015. "Grouped Model Averaging for Finite Sample Size," Working Papers 201501, University of California at Riverside, Department of Economics.
    4. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    5. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    6. Kotlyarova, Yulia & Schafgans, Marcia M.A. & Zinde-Walsh, Victoria, 2021. "Rates of expansions for functional estimators," LSE Research Online Documents on Economics 113436, London School of Economics and Political Science, LSE Library.
    7. Mohammad Arashi & Priyanka Nagar & Andriette Bekker, 2020. "Joint Probabilistic Modeling of Wind Speed and Wind Direction for Wind Energy Analysis: A Case Study in Humansdorp and Noupoort," Sustainability, MDPI, vol. 12(11), pages 1-15, May.
    8. Zhang, Xiaomeng & Zhang, Xinyu, 2023. "Optimal model averaging based on forward-validation," Journal of Econometrics, Elsevier, vol. 237(2).

  16. Liangjun Su & Aman Ullah & Yun Wang, 2013. "Nonparametric regression estimation with general parametric error covariance: a more efficient two-step estimator," Empirical Economics, Springer, vol. 45(2), pages 1009-1024, October.

    Cited by:

    1. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    2. 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.
    3. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    4. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    5. Shujie Ma & Jeffrey S. Racine & Aman Ullah, 2015. "Nonparametric Regression-Spline Random Effects Models," Department of Economics Working Papers 2015-10, McMaster University.
    6. Syed F. Mahmud & Murat Tiniç, 2018. "Herding in Chinese stock markets: a nonparametric approach," Empirical Economics, Springer, vol. 55(2), pages 679-711, September.

  17. Bao, Yong & Ullah, Aman & Zinde-Walsh, Victoria, 2013. "On existence of moment of mean reversion estimator in linear diffusion models," Economics Letters, Elsevier, vol. 120(2), pages 146-148.

    Cited by:

    1. Chen, Ye & Yu, Jun, 2015. "Optimal jackknife for unit root models," Statistics & Probability Letters, Elsevier, vol. 99(C), pages 135-142.

  18. Liangjun Su & Irina Murtazashvili & Aman Ullah, 2013. "Local Linear GMM Estimation of Functional Coefficient IV Models With an Application to Estimating the Rate of Return to Schooling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 184-207, April.

    Cited by:

    1. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Forecasting under Structural Breaks Using Improved Weighted Estimation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202212, University of Kansas, Department of Economics.
    2. Cai, Zongwu & Fang, Ying & Lin, Ming & Su, Jia, 2018. "Inferences for a Partially Varying Coefficient Model With Endogenous Regressors," IRTG 1792 Discussion Papers 2018-047, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    3. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    4. 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.
    5. Yan Li & Liangjun Su & Yuewu Xu, 2015. "A Combined Approach to the Inference of Conditional Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 203-220, April.
    6. Shengjie Hong & Yu-Chin Hsu & Yuanyuan Wan, 2023. "Subvector inference for Varying Coefficient Models with Partial Identification," Working Papers tecipa-756, University of Toronto, Department of Economics.
    7. Irina Murtazashvili & Di Liu & Artem Prokhorov, 2015. "Two-sample nonparametric estimation of intergenerational income mobility in the United States and Sweden," Canadian Journal of Economics, Canadian Economics Association, vol. 48(5), pages 1733-1761, December.
    8. Athey, Susan & Tibshirani, Julie & Wager, Stefan, 2017. "Generalized Random Forests," Research Papers 3575, Stanford University, Graduate School of Business.
    9. Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
    10. Stefan Sperlich, 2014. "On the choice of regularization parameters in specification testing: a critical discussion," Empirical Economics, Springer, vol. 47(2), pages 427-450, September.
    11. Xun Lu & Liangjun Su, 2014. "Jackknife Model Averaging for Quantile Regressions," Working Papers 11-2014, Singapore Management University, School of Economics.
    12. Zhang, Hong-Fan, 2021. "Iterative GMM for partially linear single-index models with partly endogenous regressors," Computational Statistics & Data Analysis, Elsevier, vol. 156(C).
    13. S. Centorrino & J. S. Racine, 2016. "Semiparametric Varying Coefficient Models with Endogenous Covariates," Department of Economics Working Papers 2016-02, McMaster University.
    14. Tadao Hoshino, 2018. "Semiparametric Spatial Autoregressive Models With Endogenous Regressors: With an Application to Crime Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 160-172, January.
    15. 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.
    16. Pan Zhao & Yifan Cui, 2023. "A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning," Papers 2310.09545, arXiv.org.
    17. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.

  19. Madhu S. Mohanty & Aman Ullah, 2012. "Why Does Growing up in an Intact Family during Childhood Lead to Higher Earnings during Adulthood in the United States?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 71(3), pages 662-695, July.

    Cited by:

    1. Vinod Mishra & Russell Smyth, 2012. "It Pays to Be Happy (If You are a Man): Subjective Wellbeing and the Gender Wage Gap in Urban China," Monash Economics Working Papers 51-12, Monash University, Department of Economics.
    2. Sergei Guriev & Ekaterina Zhuravskaya, 2007. "(Un)Happiness in Transition," Working Papers w0111, Center for Economic and Financial Research (CEFIR).
    3. Ramos, Xavier & Van de gaer, Dirk, 2017. "Is Inequality of Opportunity Robust to the Measurement Approach?," IZA Discussion Papers 11157, Institute of Labor Economics (IZA).
    4. Madhu S. Mohanty, 2016. "Effect of religious attendance on years of schooling in the USA," Education Economics, Taylor & Francis Journals, vol. 24(4), pages 411-426, August.
    5. Nazgol Makki & Madhu S. Mohanty, 2019. "Mental Health and Happiness: Evidence From the U.S. Data," The American Economist, Sage Publications, vol. 64(2), pages 197-215, October.
    6. Mohanty, Madhu S. & Ullah, Aman, 2012. "Direct and indirect effects of happiness on wage: A simultaneous equations approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 143-152.
    7. David Boto-Garc'ia & Federico Perali, 2023. "The association between Marital Locus of Control and break-up intentions," Papers 2302.14133, arXiv.org.

  20. Mohanty, Madhu S. & Ullah, Aman, 2012. "Direct and indirect effects of happiness on wage: A simultaneous equations approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 143-152.

    Cited by:

    1. Sergei Guriev & Ekaterina Zhuravskaya, 2007. "(Un)Happiness in Transition," Working Papers w0111, Center for Economic and Financial Research (CEFIR).
    2. Kelsey J. O'Connor, 2020. "Life Satisfaction and Noncognitive Skills: Effects on the Likelihood of Unemployment," Kyklos, Wiley Blackwell, vol. 73(4), pages 568-604, November.
    3. Nazgol Makki & Madhu S. Mohanty, 2019. "Mental Health and Happiness: Evidence From the U.S. Data," The American Economist, Sage Publications, vol. 64(2), pages 197-215, October.

  21. Xiangdong Long & Liangjun Su & Aman Ullah, 2011. "Estimation and Forecasting of Dynamic Conditional Covariance: A Semiparametric Multivariate Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 109-125, January.

    Cited by:

    1. Aslanidis, Nektarios & Martínez Ibáñez, Óscar, 2012. "Modelling world investment markets using threshold conditional correlation models," Working Papers 2072/203167, Universitat Rovira i Virgili, Department of Economics.
    2. Silvennoinen, Annastiina & Teräsvirta, Timo, 2024. "Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model," Econometrics and Statistics, Elsevier, vol. 32(C), pages 57-72.
    3. Abdelradi, Fadi & Serra, Teresa, 2015. "Food–energy nexus in Europe: Price volatility approach," Energy Economics, Elsevier, vol. 48(C), pages 157-167.
    4. Tae-Hwy Lee & Millie Yi Mao & Aman Ullah, 2021. "Estimation of high-dimensional dynamic conditional precision matrices with an application to forecast combination," Econometric Reviews, Taylor & Francis Journals, vol. 40(10), pages 905-918, November.
    5. Jensen, Mark J. & Maheu, John M., 2013. "Bayesian semiparametric multivariate GARCH modeling," Journal of Econometrics, Elsevier, vol. 176(1), pages 3-17.
    6. Paul Catani & Timo Teräsvirta & Meiqun Yin, 2017. "A Lagrange multiplier test for testing the adequacy of constant conditional correlation GARCH model," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 599-621, October.
    7. Zhang, Yongli & Rolling, Craig & Yang, Yuhong, 2021. "Estimating and forecasting dynamic correlation matrices: A nonlinear common factor approach," Journal of Multivariate Analysis, Elsevier, vol. 183(C).
    8. Pick Schen Yip & Robert Brooks & Hung Xuan Do & Duc Khuong Nguyen, 2019. "Dynamic Volatility Spillover Effect between Oil and Agricultural Products," Working Papers 2019-009, Department of Research, Ipag Business School.
    9. Cornelis Gardebroek & Manuel A. Hernandez & Miguel Robles, 2016. "Market interdependence and volatility transmission among major crops," Agricultural Economics, International Association of Agricultural Economists, vol. 47(2), pages 141-155, March.
    10. Yulia Kotlyarova & Marcia Schafgans & Victoria Zinde-Walsh, 2011. "Adapting Kernel Estimation to Uncertain Smoothness," Working Papers daleconwp2011-01, Dalhousie University, Department of Economics.
    11. Yan Li & Liangjun Su & Yuewu Xu, 2015. "A Combined Approach to the Inference of Conditional Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 203-220, April.
    12. Teresa Serra & José M. Gil, 2013. "Price volatility in food markets: can stock building mitigate price fluctuations?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(3), pages 507-528, July.
    13. Hernandez, Manuel A. & Gardebroek, Cornelis, 2012. "Do energy prices stimulate food price volatility? Examining volatility transmission between US oil, ethanol and corn markets," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124583, Agricultural and Applied Economics Association.
    14. Barigozzi, Matteo & Brownlees, Christian & Gallo, Giampiero M. & Veredas, David, 2014. "Disentangling systematic and idiosyncratic dynamics in panels of volatility measures," Journal of Econometrics, Elsevier, vol. 182(2), pages 364-384.
    15. Xun Lu & Liangjun Su, 2014. "Jackknife Model Averaging for Quantile Regressions," Working Papers 11-2014, Singapore Management University, School of Economics.
    16. Serra, Teresa & Gil, José M., 2012. "Biodiesel as a motor fuel price stabilization mechanism," Energy Policy, Elsevier, vol. 50(C), pages 689-698.
    17. Serra, Teresa, 2011. "Volatility spillovers between food and energy markets: A semiparametric approach," Energy Economics, Elsevier, vol. 33(6), pages 1155-1164.
    18. Aman Ullah & Mardi Dungey & Xiangdong Long & Yun Wang, 2014. "A Semiparametric Conditional Duration Model," Working Papers 201408, University of California at Riverside, Department of Economics.
    19. Jose Fernandez & Bruce Morley, 2015. "Interdependence among Agricultural Commodity Markets, Macroeconomic Factors, Crude Oil and Commodity Index," Department of Economics Working Papers 42/15, University of Bath, Department of Economics.
    20. Dimitrios Thomakos & Johannes Klepsch & Dimitris N. Politis, 2020. "Model Free Inference on Multivariate Time Series with Conditional Correlations," Stats, MDPI, vol. 3(4), pages 1-26, November.
    21. Kristoufek, Ladislav & Janda, Karel & Zilberman, David, 2012. "Relationship Between Prices of Food, Fuel and Biofuel," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135793, European Association of Agricultural Economists.
    22. Serra, Teresa, 2012. "Biofuel-related price volatility literature: a review and new approaches," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126057, International Association of Agricultural Economists.
    23. Aslanidis, Nektarios & Martinez, Oscar, 2021. "Correlation regimes in international equity and bond returns," Economic Modelling, Elsevier, vol. 97(C), pages 397-410.
    24. López Cabrera, Brenda & Schulz, Franziska, 2013. "Volatility linkages between energy and agricultural commodity prices," SFB 649 Discussion Papers 2013-042, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    25. Kristoufek, Ladislav & Janda, Karel & Zilberman, David, 2012. "Correlations between biofuels and related commodities before and during the food crisis: A taxonomy perspective," Energy Economics, Elsevier, vol. 34(5), pages 1380-1391.
    26. Amer Ait Sidhoum & Teresa Serra, 2016. "Volatility Spillovers in the Spanish Food Marketing Chain: The Case of Tomato," Agribusiness, John Wiley & Sons, Ltd., vol. 32(1), pages 45-63, January.
    27. José Fernández, 2015. "Interdependence among Agricultural Commodity Markets, Macroeconomic Factors, Crude Oil and Commodity Index," Bristol Economics Discussion Papers 15/666, School of Economics, University of Bristol, UK.

  22. Yong Bao & Aman Ullah, 2009. "On skewness and kurtosis of econometric estimators," Econometrics Journal, Royal Economic Society, vol. 12(2), pages 232-247, July.

    Cited by:

    1. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    2. Xiaohu Wang & Peter C.B. Phillips & Jun Yu, 2011. "Bias in Estimating Multivariate and Univariate Diffusions," Cowles Foundation Discussion Papers 1778, Cowles Foundation for Research in Economics, Yale University.

  23. Su, Liangjun & Ullah, Aman, 2009. "Testing Conditional Uncorrelatedness," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 18-29.

    Cited by:

    1. Lee, Jungyoon & Robinson, Peter, 2015. "Panel nonparametric regression with fixed effects," LSE Research Online Documents on Economics 61431, London School of Economics and Political Science, LSE Library.
    2. 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.
    3. Lee, Jungyoon & Robinson, Peter M., 2015. "Panel nonparametric regression with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 346-362.
    4. Xiangdong Long & Liangjun Su & Aman Ullah, 2009. "Estimation and Forecasting of Dynamic Conditional Covariance: A Semiparametric Multivariate Model Variables with Econometric Applications," Working Papers 200908, University of California at Riverside, Department of Economics, revised Jul 2009.

  24. Mynbaev, Kairat T. & Ullah, Aman, 2008. "Asymptotic distribution of the OLS estimator for a purely autoregressive spatial model," Journal of Multivariate Analysis, Elsevier, vol. 99(2), pages 245-277, February.

    Cited by:

    1. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    2. Mynbayev, Kairat & Darkenbayeva, Gulsim, 2017. "Weak convergence of linear and quadratic forms and related statements on Lp-approximability," MPRA Paper 101686, University Library of Munich, Germany, revised Dec 2018.
    3. Mynbaev, Kairat T., 2010. "Asymptotic distribution of the OLS estimator for a mixed spatial model," Journal of Multivariate Analysis, Elsevier, vol. 101(3), pages 733-748, March.
    4. Mynbayev, Kairat & Darkenbayeva, Gulsim, 2019. "Analyzing variance in central limit theorems," MPRA Paper 101685, University Library of Munich, Germany.
    5. Badi H. Baltagi & Long Liu, 2015. "Testing for Spacial Lag and Spatial Error Dependence in a Fixed Effects Panel Data Model Using Double Length Artificial Regressions," Center for Policy Research Working Papers 183, Center for Policy Research, Maxwell School, Syracuse University.
    6. Jakub Olejnik & Alicja Olejnik, 2020. "QML estimation with non-summable weight matrices," Journal of Geographical Systems, Springer, vol. 22(4), pages 469-495, October.
    7. Mynbayev, Kairat, 2007. "OLS Asymptotics for Vector Autoregressions with Deterministic Regressors," MPRA Paper 101688, University Library of Munich, Germany, revised 2018.

  25. Carlos Martins-Filho & Santosh Mishra & Aman Ullah, 2008. "A Class of Improved Parametrically Guided Nonparametric Regression Estimators," Econometric Reviews, Taylor & Francis Journals, vol. 27(4-6), pages 542-573.

    Cited by:

    1. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2014. "Nonparametric and Semiparametric Regressions Subject to Monotonicity Constraints: Estimation and Forecasting," Working Papers 201404, University of California at Riverside, Department of Economics.
    2. Yan Li & Liangjun Su & Yuewu Xu, 2015. "A Combined Approach to the Inference of Conditional Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 203-220, April.
    3. T. Senga Kiessé & M. Rivoire, 2011. "Discrete semiparametric regression models with associated kernel and applications," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 23(4), pages 927-941.
    4. Gao, Jiti, 2012. "Identification, Estimation and Specification in a Class of Semi-Linear Time Series Models," MPRA Paper 39256, University Library of Munich, Germany, revised 14 May 2012.
    5. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
    6. Talamakrouni, Majda & El Ghouch, Anouar & Van Keilegom, Ingrid, 2012. "Guided censored regression," LIDAM Discussion Papers ISBA 2012023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Li, Shuo & Tu, Yundong, 2016. "n-consistent density estimation in semiparametric regression models," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 91-109.
    8. Clemontina A. Davenport & Arnab Maity & Yichao Wu, 2015. "Parametrically guided estimation in nonparametric varying coefficient models with quasi-likelihood," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 27(2), pages 195-213, June.
    9. Aman Ullah & Mardi Dungey & Xiangdong Long & Yun Wang, 2014. "A Semiparametric Conditional Duration Model," Working Papers 201408, University of California at Riverside, Department of Economics.
    10. Majda Talamakrouni & Anouar El Ghouch & Ingrid Van Keilegom, 2015. "Guided Censored Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 214-233, March.
    11. Yoshida, Takuma, 2018. "Semiparametric method for model structure discovery in additive regression models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 124-136.
    12. Jiti Gao, 2012. "Identification, Estimation and Specification in a Class of Semiparametic Time Series Models," Monash Econometrics and Business Statistics Working Papers 6/12, Monash University, Department of Econometrics and Business Statistics.
    13. George Athanasopoulos & Minfeng Deng & Gang Li & Haiyan Song, 2013. "Domestic and outbound tourism demand in Australia: a System-of-Equations Approach," Monash Econometrics and Business Statistics Working Papers 6/13, Monash University, Department of Econometrics and Business Statistics.
    14. Talamakrouni, Majda & Van Keilegom, Ingrid & El Ghouch, Anouar, 2016. "Parametrically guided nonparametric density and hazard estimation with censored data," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 308-323.

  26. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    See citations under working paper version above.
  27. Su, Liangjun & Ullah, Aman, 2008. "Local polynomial estimation of nonparametric simultaneous equations models," Journal of Econometrics, Elsevier, vol. 144(1), pages 193-218, May.

    Cited by:

    1. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    2. Uddin, Md. Main & Mishra, Vinod & Smyth, Russell, 2020. "Income inequality and CO2 emissions in the G7, 1870–2014: Evidence from non-parametric modelling," Energy Economics, Elsevier, vol. 88(C).
    3. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    4. 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.
    5. Jingping Gu & Qi Li & Jui-Chung Yang, 2015. "Multivariate Local Polynomial Kernel Estimators: Leading Bias and Asymptotic Distribution," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 979-1010, December.
    6. Qingliang Fan & Zijian Guo & Ziwei Mei & Cun-Hui Zhang, 2023. "Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity," Papers 2310.08063, arXiv.org, revised Jun 2024.
    7. David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006. "Identification and Nonparametric Estimation of a Transformed Additively Separable Model," Boston College Working Papers in Economics 652, Boston College Department of Economics, revised 26 Nov 2008.
    8. Henderson, Daniel J. & Souto, Anne-Charlotte, 2018. "An Introduction to Nonparametric Regression for Labor Economists," IZA Discussion Papers 11914, Institute of Labor Economics (IZA).
    9. Das, Monica & Basu, Sudip R., 2023. "Inclusive bank based financial development in countries with special needs: A semiparametric analysis," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 740-753.
    10. Patrick Saart & Jiti Gao & Nam Hyun Kim, 2014. "Semiparametric methods in nonlinear time series analysis: a selective review," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(1), pages 141-169, March.
    11. Martins-Filho, Carlos & Yao, Feng, 2012. "Kernel-based estimation of semiparametric regression in triangular systems," Economics Letters, Elsevier, vol. 115(1), pages 24-27.
    12. Jiti Gao & Peter C.B. Phillips, 2011. "Semiparametric Estimation in Multivariate Nonstationary Time Series Models," Monash Econometrics and Business Statistics Working Papers 17/11, Monash University, Department of Econometrics and Business Statistics.
    13. Manuel Wiesenfarth & Carlos Matías Hisgen & Thomas Kneib & Carmen Cadarso-Suarez, 2014. "Bayesian Nonparametric Instrumental Variables Regression Based on Penalized Splines and Dirichlet Process Mixtures," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 468-482, July.
    14. Xin Geng & Carlos Martins-Filho & Feng Yao, 2015. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 15-46, Department of Economics, West Virginia University.
    15. Kim Kyoo il & Petrin Amil, 2022. "A Generalized Non-Parametric Instrumental Variable-Control Function Approach to Estimation in Nonlinear Settings," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 91-125, January.
    16. Nicholas Marinucci & Kris Ivanovski, 2023. "Does Inequality Affect Climate Change? A Regional and Sectoral Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 705-729, April.
    17. 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.
    18. Anjan K. Saha & Vinod Mishra & Russell Smyth, 2021. "Financial development and top income shares in OECD countries," Southern Economic Journal, John Wiley & Sons, vol. 87(3), pages 952-978, January.
    19. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris, 2021. "R&D expenditure and energy consumption in OECD nations," Energy Economics, Elsevier, vol. 100(C).
    20. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    21. Jiti Gao & Peter C.B. Phillips, 2013. "Functional Coefficient Nonstationary Regression with Non- and Semi-Parametric Cointegration," Monash Econometrics and Business Statistics Working Papers 16/13, Monash University, Department of Econometrics and Business Statistics.
    22. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    23. Jesús Peiró-Palomino, 2016. "Social Capital and Economic Growth in Europe: Nonlinear Trends and Heterogeneous Regional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 717-751, October.
    24. Francesco Bravo & David Jacho-Chavez, 2011. "Empirical Likelihood for Efficient Semiparametric Average Treatment Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(1), pages 1-24.
    25. Alyssa Carlson, 2020. "Relaxing Conditional Independence in an Endogenous Binary Response Model," Working Papers 2008, Department of Economics, University of Missouri.
    26. Das, Monica & Basu, Sudip Ranjan, 2022. "Understanding the relationship between income inequality and pollution: A fresh perspective with cross-country evidence," World Development Perspectives, Elsevier, vol. 26(C).
    27. Kim, Namhyun & W. Saart, Patrick, 2021. "Estimation in partially linear semiparametric models with parametric and/or nonparametric endogeneity," Cardiff Economics Working Papers E2021/9, Cardiff University, Cardiff Business School, Economics Section.
    28. Durga P. Gautam, 2014. "Remittances and Governance: Does the Government Free Ride?," Working Papers 14-40, Department of Economics, West Virginia University.
    29. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    30. Kai Sun, 2015. "Constrained nonparametric estimation of input distance function," Journal of Productivity Analysis, Springer, vol. 43(1), pages 85-97, February.
    31. Jinjing Tian & Taining Wang & Feng Yao, 2024. "Excessive External Borrowing in China: Evidence from a Nonparametric Threshold Regression Model with Fixed Effects," Mathematics, MDPI, vol. 12(23), pages 1-28, November.
    32. Gao, Jiti & Phillips, Peter C.B., 2013. "Semiparametric estimation in triangular system equations with nonstationarity," Journal of Econometrics, Elsevier, vol. 176(1), pages 59-79.
    33. Ghazouani, Tarek, 2022. "Dynamic impact of globalization on renewable energy consumption: Non-parametric modelling evidence," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    34. Delgado, Michael S. & Parmeter, Christopher F., 2014. "A simple estimator for partial linear regression with endogenous nonparametric variables," Economics Letters, Elsevier, vol. 124(1), pages 100-103.
    35. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
    36. Lee, Chi-Chuan & Lee, Chien-Chiang & Chiou, Yan-Yu, 2017. "Insurance activities, globalization, and economic growth: New methods, new evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 155-170.
    37. 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.
    38. Jiti Gao & Peter C.B. Phillips, 2013. "Functional Coefficient Nonstationary Regression," Cowles Foundation Discussion Papers 1911, Cowles Foundation for Research in Economics, Yale University.
    39. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).
    40. Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.

  28. Bao, Yong & Ullah, Aman, 2007. "The second-order bias and mean squared error of estimators in time-series models," Journal of Econometrics, Elsevier, vol. 140(2), pages 650-669, October.

    Cited by:

    1. Lee, Tae-Hwy & Ullah, Aman & Wang, He, 2018. "The second-order bias of quantile estimators," Economics Letters, Elsevier, vol. 173(C), pages 143-147.
    2. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    3. Arvanitis Stelios & Demos Antonis, 2018. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Inference Estimators," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-38, January.
    4. Kyriakopoulou, Dimitra & Demos, Antonis, 2010. "Edgeworth and Moment Approximations: The Case of MM and QML Estimators for the MA (1) Models," MPRA Paper 122393, University Library of Munich, Germany.
    5. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    6. Inoue, Atsushi & Kilian, Lutz, 2016. "Joint confidence sets for structural impulse responses," Journal of Econometrics, Elsevier, vol. 192(2), pages 421-432.
    7. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    8. DEMOS Antonis, & KYRIAKOPOULOU Dimitra,, 2018. "Finite sample theory and bias correction of maximum likelihood estimators in the EGARCH model," LIDAM Discussion Papers CORE 2018007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Pablo Guerron-quintana & Atsushi Inoue & Lutz Kilian, 2014. "Impulse response matching estimators for DSGE models," Vanderbilt University Department of Economics Working Papers 14-00014, Vanderbilt University Department of Economics.
    10. Bao Yong & Zhang Ru, 2013. "Estimation Bias and Feasible Conditional Forecasts from the First-Order Moving Average Model," Journal of Time Series Econometrics, De Gruyter, vol. 6(1), pages 63-80, July.
    11. Stelios Arvanitis & Antonis Demos, 2014. "A Class of Indirect Inference Estimators: Higher Order Asymptotics and Approximate Bias Correction (Revised)," DEOS Working Papers 1411, Athens University of Economics and Business, revised 23 Sep 2014.
    12. Ruby Chiu‐Hsing Weng & D. Stephen Coad, 2021. "Bias approximations for likelihood‐based estimators," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(4), pages 1474-1497, December.
    13. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    14. Liang Jiang & Xiaohu Wang & Jun Yu, 2014. "On Bias in the Estimation of Structural Break Points," Working Papers 22-2014, Singapore Management University, School of Economics.
    15. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    16. Yong Bao & Aman Ullah & Yun Wang & Jun Yu, 2013. "Bias in the Mean Reversion Estimator in Continuous-Time Gaussian and Levy Processes," Working Papers CoFie-01-2013, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    17. Tae-Hwy Lee & Aman Ullah & He Wang, 2024. "The second-order bias and mean squared error of quantile regression estimators," Indian Economic Review, Springer, vol. 59(1), pages 11-68, October.
    18. Yong Li & Xiaobin Liu & Jun Yu & Tao Zeng, 2018. "A New Wald Test for Hypothesis Testing Based on MCMC outputs," Papers 1801.00973, arXiv.org.
    19. Tom Engsted & Thomas Q. Pedersen, 2014. "Bias-Correction in Vector Autoregressive Models: A Simulation Study," Econometrics, MDPI, vol. 2(1), pages 1-27, March.
    20. Chambers, Marcus J., 2013. "Jackknife estimation of stationary autoregressive models," Journal of Econometrics, Elsevier, vol. 172(1), pages 142-157.
    21. Yu, Jun, 2012. "Bias in the estimation of the mean reversion parameter in continuous time models," Journal of Econometrics, Elsevier, vol. 169(1), pages 114-122.
    22. Kruse, Yves Robinson & Kaufmann, Hendrik, 2015. "Bias-corrected estimation in mildly explosive autoregressions," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112897, Verein für Socialpolitik / German Economic Association.
    23. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    24. Kruse, Robinson & Kaufmann, Hendrik & Wegener, Christoph, 2018. "Bias-corrected estimation for speculative bubbles in stock prices," Economic Modelling, Elsevier, vol. 73(C), pages 354-364.
    25. Liu-Evans Gareth D. & Phillips Garry D. A., 2012. "Bootstrap, Jackknife and COLS: Bias and Mean Squared Error in Estimation of Autoregressive Models," Journal of Time Series Econometrics, De Gruyter, vol. 4(2), pages 1-35, November.
    26. Kiviet, J.F. & Phillips, G.D.A., 1999. "Higher-Order Asymptotic Expansions of the Least-Squares Estimation Bias in First-Order Dynamic Regression Models," Discussion Papers 9903, University of Exeter, Department of Economics.
    27. Yong Bao, 2015. "Should We Demean the Data?," Annals of Economics and Finance, Society for AEF, vol. 16(1), pages 163-171, May.
    28. Kiviet, Jan F. & Phillips, Garry D.A., 2014. "Improved variance estimation of maximum likelihood estimators in stable first-order dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 424-448.
    29. Kun Duan & Tapas Mishra & Mamata Parhi & Simon Wolfe, 2019. "How Effective are Policy Interventions in a Spatially-Embedded International Real Estate Market?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 596-637, May.
    30. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    31. Kyoo Il Kim, 2016. "Higher Order Bias Correcting Moment Equation for M-Estimation and Its Higher Order Efficiency," Econometrics, MDPI, vol. 4(4), pages 1-19, December.
    32. Hendrik Kaufmannz & Robinson Kruse, 2013. "Bias-corrected estimation in potentially mildly explosive autoregressive models," CREATES Research Papers 2013-10, Department of Economics and Business Economics, Aarhus University.
    33. Liu-Evans, Gareth, 2014. "A note on approximating moments of least squares estimators," MPRA Paper 57543, University Library of Munich, Germany.
    34. Iglesias Emma M, 2009. "Finite Sample Theory of QMLEs in ARCH Models with an Exogenous Variable in the Conditional Variance Equation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-30, May.
    35. Atukorala, Ranjani & Sriananthakumar, Sivagowry, 2015. "A comparison of the accuracy of asymptotic approximations in the dynamic regression model using Kullback-Leibler information," Economic Modelling, Elsevier, vol. 45(C), pages 169-174.
    36. Liu-Evans, Gareth, 2010. "An alternative approach to approximating the moments of least squares estimators," MPRA Paper 26550, University Library of Munich, Germany.
    37. Aman Ullah & Yong Bao & Ru Zhang, 2014. "Moment Approximation for Unit Root Models with Nonnormal Errors," Working Papers 201401, University of California at Riverside, Department of Economics.
    38. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    39. Tae-Hwy Lee & Aman Ullah & He Wang, 2018. "The Second-order Asymptotic Properties of Asymmetric Least Squares Estimation," Working Papers 201910, University of California at Riverside, Department of Economics.
    40. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    41. Christian Brownlees & Vladislav Morozov, 2022. "Unit Averaging for Heterogeneous Panels," Papers 2210.14205, arXiv.org, revised May 2024.
    42. Herbst, Edward P. & Johannsen, Benjamin K., 2024. "Bias in local projections," Journal of Econometrics, Elsevier, vol. 240(1).
    43. Anna Mikusheva & Mikkel S{o}lvsten, 2023. "Linear Regression with Weak Exogeneity," Papers 2308.08958, arXiv.org, revised Jan 2024.
    44. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    45. Tae-Hwy Lee & Aman Ullah & He Wang, 2023. "The Second-order Bias and Mean Squared Error of Quantile Regression Estimators," Working Papers 202313, University of California at Riverside, Department of Economics.

  29. Bao, Yong & Ullah, Aman, 2007. "Finite sample properties of maximum likelihood estimator in spatial models," Journal of Econometrics, Elsevier, vol. 137(2), pages 396-413, April.

    Cited by:

    1. Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019. "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Working Papers 15/2019, University of Verona, Department of Economics.
    2. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    3. Yu, Dalei & Bai, Peng & Ding, Chang, 2015. "Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias," Computational Statistics & Data Analysis, Elsevier, vol. 87(C), pages 116-135.
    4. DEMOS Antonis, & KYRIAKOPOULOU Dimitra,, 2018. "Finite sample theory and bias correction of maximum likelihood estimators in the EGARCH model," LIDAM Discussion Papers CORE 2018007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Grant Hillier & Federico Martellosio, 2013. "Properties of the maximum likelihood estimator in spatial autoregressive models," CeMMAP working papers 44/13, Institute for Fiscal Studies.
    6. Francesca Rossi & Peter M. Robinson, 2020. "Higher-Order Least Squares Inference for Spatial Autoregressions," Working Papers 04/2020, University of Verona, Department of Economics.
    7. Christoph Strumann, 2019. "Hodges–Lehmann Estimation of Static Panel Models with Spatially Correlated Disturbances," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 141-168, January.
    8. Yu, Dalei & Ding, Chang & He, Na & Wang, Ruiwu & Zhou, Xiaohua & Shi, Lei, 2019. "Robust estimation and confidence interval in meta-regression models," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 93-118.
    9. Stelios Arvanitis & Antonis Demos, 2014. "A Class of Indirect Inference Estimators: Higher Order Asymptotics and Approximate Bias Correction (Revised)," DEOS Working Papers 1411, Athens University of Economics and Business, revised 23 Sep 2014.
    10. Paul Rilstone, 2021. "Higher-Order Stochastic Expansions and Approximate Moments for Non-linear Models with Heterogeneous Observations," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 99-120, December.
    11. Leopoldo Catania & Anna Gloria Billé, 2016. "Dynamic Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," CEIS Research Paper 375, Tor Vergata University, CEIS, revised 31 Mar 2016.
    12. Robinson, Peter M. & Rossi, Francesca, 2015. "Refinements in maximum likelihood inference on spatial autocorrelation in panel data," Journal of Econometrics, Elsevier, vol. 189(2), pages 447-456.
    13. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    14. Mustafa Koroglu & Yiguo Sun, 2016. "Functional-Coefficient Spatial Durbin Models with Nonparametric Spatial Weights: An Application to Economic Growth," Econometrics, MDPI, vol. 4(1), pages 1-16, February.
    15. Rossi, Francesca & Robinson, Peter M., 2023. "Higher-order least squares inference for spatial autoregressions," Journal of Econometrics, Elsevier, vol. 232(1), pages 244-269.
    16. Anna Gloria Billé & Samantha Leorato, 2017. "Quasi-ML estimation, Marginal Effects and Asymptotics for Spatial Autoregressive Nonlinear Models," BEMPS - Bozen Economics & Management Paper Series BEMPS44, Faculty of Economics and Management at the Free University of Bozen.
    17. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    18. Grant Hillier & Federico Martellosio, 2013. "Properties of the maximum likelihood estimator in spatial autoregressive models," CeMMAP working papers CWP44/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    20. Kyoo Il Kim, 2016. "Higher Order Bias Correcting Moment Equation for M-Estimation and Its Higher Order Efficiency," Econometrics, MDPI, vol. 4(4), pages 1-19, December.
    21. Robinson, Peter M. & Rossi, Francesca, 2015. "Refined Tests For Spatial Correlation," Econometric Theory, Cambridge University Press, vol. 31(6), pages 1249-1280, December.
    22. Kazuhiko Kakamu & Hajime Wago, 2008. "Small-sample Properties of Panel Spatial Autoregressive Models: Comparison of the Bayesian and Maximum Likelihood MethodsAn earlier version of this paper was presented at the 2007 Fall meeting of Japa," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 305-319.
    23. Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
    24. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
    25. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    26. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    27. Badi H. Baltagi & Long Liu, 2015. "Testing for Spacial Lag and Spatial Error Dependence in a Fixed Effects Panel Data Model Using Double Length Artificial Regressions," Center for Policy Research Working Papers 183, Center for Policy Research, Maxwell School, Syracuse University.
    28. Jesús Mur & Fernando López & Ana Angulo, 2009. "Testing the hypothesis of stability in spatial econometric models," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 409-444, June.
    29. Joris Pinkse & Margaret E. Slade, 2010. "The Future Of Spatial Econometrics," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 103-117, February.
    30. Federico Martellosio & Grant Hillier, 2019. "Adjusted QMLE for the spatial autoregressive parameter," Papers 1909.08141, arXiv.org.
    31. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.
    32. Martellosio, Federico & Hillier, Grant, 2020. "Adjusted QMLE for the spatial autoregressive parameter," Journal of Econometrics, Elsevier, vol. 219(2), pages 488-506.
    33. Liu, Shew Fan & Yang, Zhenlin, 2015. "Improved inferences for spatial regression models," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 55-67.
    34. Bo Pieter Johannes Andree & Francisco Blasques & Eric Koomen, 2017. "Smooth Transition Spatial Autoregressive Models," Tinbergen Institute Discussion Papers 17-050/III, Tinbergen Institute.

  30. Su, Liangjun & Ullah, Aman, 2007. "More efficient estimation of nonparametric panel data models with random effects," Economics Letters, Elsevier, vol. 96(3), pages 375-380, September.

    Cited by:

    1. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    2. Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
    3. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    4. Bin Zhou & Qinfeng Xu & Jinhong You, 2011. "Efficient estimation for error component seemingly unrelated nonparametric regression models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(1), pages 121-138, January.
    5. Li, Gaorong & Peng, Heng & Tong, Tiejun, 2013. "Simultaneous confidence band for nonparametric fixed effects panel data models," Economics Letters, Elsevier, vol. 119(3), pages 229-232.
    6. Bang-Qiang He & Xing-Jian Hong & Guo-Liang Fan, 2020. "Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects," Statistical Papers, Springer, vol. 61(6), pages 2351-2381, December.
    7. Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
    8. Shujie Ma & Jeffrey S. Racine & Aman Ullah, 2015. "Nonparametric Regression-Spline Random Effects Models," Department of Economics Working Papers 2015-10, McMaster University.
    9. Serfas, D., 2018. "an ex-post econometric analysis of the abolishment of the canadian wheat board," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277286, International Association of Agricultural Economists.
    10. Bosupeng, Mpho, 2015. "Exports Multiplicity and The Dutch Disease," MPRA Paper 77919, University Library of Munich, Germany, revised 2015.
    11. Gholamreza Hajargasht, 2009. "Nonparametric Panel Data Models, A Penalized Spline Approach," CEPA Working Papers Series WP052009, School of Economics, University of Queensland, Australia.
    12. Liangjun Su & Aman Ullah & Yun Wang, 2013. "Nonparametric regression estimation with general parametric error covariance: a more efficient two-step estimator," Empirical Economics, Springer, vol. 45(2), pages 1009-1024, October.

  31. Su, Liangjun & Ullah, Aman, 2006. "Profile likelihood estimation of partially linear panel data models with fixed effects," Economics Letters, Elsevier, vol. 92(1), pages 75-81, July.

    Cited by:

    1. António Afonso & Michael G. Arghyrou & María Dolores Gadea & Alexandros Kontonikas, 2017. ""Whatever it takes" to resolve the European sovereign debt crisis? Bond pricing regime switches and monetary policy effects," Working Papers REM 2017/02, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    2. Su, Liangjun, 2012. "Semiparametric GMM estimation of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 167(2), pages 543-560.
    3. Baglan, Deniz & Ege Yazgan, M. & Yilmazkuday, Hakan, 2016. "Relative price variability and inflation: New evidence," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 263-282.
    4. Hamadi, Malika & Heinen, Andréas, 2015. "Firm performance when ownership is very concentrated: Evidence from a semiparametric panel," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 172-194.
    5. Bernoth, Kerstin & Erdogan, Burcu, 2010. "Sovereign bond yield spreads: a time-varying coefficient approach," Discussion Papers 289, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    6. Baglan, Deniz & Yoldas, Emre, 2014. "Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model," Economics Letters, Elsevier, vol. 125(1), pages 93-96.
    7. Benjamin Owusu & Bettina Bökemeier & Alfred Greiner, 2023. "Assessing nonlinearities and heterogeneity in debt sustainability analysis: a panel spline approach," Empirical Economics, Springer, vol. 64(3), pages 1315-1346, March.
    8. Jia Chen & Jiti Gao & Degui Li, 2011. "Semiparametric Trending Panel Data Models with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 15/11, Monash University, Department of Econometrics and Business Statistics.
    9. Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
    10. Minzhi Wu & Emili Tortosa-Ausina, 2020. "Bank Diversification and Focus in Disruptive Times: China, 2007–2018," Working Papers 2020/21, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Arghyrou, Michael G & Gadea, Mar a Dolores, 2019. "Private bank deposits and macro/fiscal risk in the euro-area," Cardiff Economics Working Papers E2019/6, Cardiff University, Cardiff Business School, Economics Section.
    12. Geng, Xin & Janssens, Wendy & Kramer, Berber, 2018. "Liquid milk: Cash Constraints and Recurring Savings among Dairy Farmers in Kenya," 2018 Annual Meeting, August 5-7, Washington, D.C. 273823, Agricultural and Applied Economics Association.
    13. Hu, Xuemei, 2017. "Semi-parametric inference for semi-varying coefficient panel data model with individual effects," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 262-281.
    14. Antonio Musolesi & Massimiliano Mazzanti, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries," Post-Print hal-01123027, HAL.
    15. Mingming Jiang, 2014. "Saving–investment Association and Regional Capital Mobility in China: A Nonparametric Panel Approach," Pacific Economic Review, Wiley Blackwell, vol. 19(2), pages 184-200, May.
    16. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    17. Geng, Xin & Janssens, Wendy & Kramer, Berber, 2023. "Liquid milk: Savings, insurance and side-selling in cooperatives," Journal of Development Economics, Elsevier, vol. 165(C).
    18. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
    19. G. Arghyrou, Michael & Gadea, Maria-Dolores & Kontonikas, Alexandros, 2024. "Private bank deposits and macro/fiscal risk in the euro-area," Journal of International Money and Finance, Elsevier, vol. 140(C).
    20. Gong, Binlei, 2018. "Agricultural reforms and production in China: Changes in provincial production function and productivity in 1978–2015," Journal of Development Economics, Elsevier, vol. 132(C), pages 18-31.
    21. Yichen Gao & Kunpeng Li, 2013. "Nonparametric estimation of fixed effects panel data models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(3), pages 679-693, September.
    22. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    23. Baglan Deniz & Yoldas Emre, 2016. "Public debt and macroeconomic activity: a predictive analysis for advanced economies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(3), pages 301-324, June.
    24. Masato Nishiwaki & Hyoeg Ug Kwon, 2013. "Are Losers Picked? An Empirical Analysis of Capacity Divestment and Production Reallocation in the Japanese Cement Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 61(2), pages 430-467, June.
    25. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
    26. 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.
    27. Li, Gaorong & Peng, Heng & Tong, Tiejun, 2013. "Simultaneous confidence band for nonparametric fixed effects panel data models," Economics Letters, Elsevier, vol. 119(3), pages 229-232.
    28. Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
    29. Li, Cong & Liang, Zhongwen, 2015. "Asymptotics for nonparametric and semiparametric fixed effects panel models," Journal of Econometrics, Elsevier, vol. 185(2), pages 420-434.
    30. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
    31. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    32. Peter Pütz & Thomas Kneib, 2018. "A penalized spline estimator for fixed effects panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 145-166, April.
    33. Ma, Shujie & Liang, Hua & Tsai, Chih-Ling, 2014. "Partially linear single index models for repeated measurements," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 354-375.
    34. 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.
    35. Xuan Liang & Jiti Gao & Xiaodong Gong, 2021. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," Monash Econometrics and Business Statistics Working Papers 5/21, Monash University, Department of Econometrics and Business Statistics.
    36. Taining Wang & Jinjing Tian, 2020. "Recasting the trade impact on labor share: a fixed-effect semiparametric estimation study," Empirical Economics, Springer, vol. 58(5), pages 2465-2511, May.
    37. Zhang, Junhua & Feng, Sanying & Li, Gaorong & Lian, Heng, 2011. "Empirical likelihood inference for partially linear panel data models with fixed effects," Economics Letters, Elsevier, vol. 113(2), pages 165-167.
    38. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    39. Elkhan Richard Sadik-Zada & Wilhelm Loewenstein, 2020. "Drivers of CO 2 -Emissions in Fossil Fuel Abundant Settings: (Pooled) Mean Group and Nonparametric Panel Analyses," Energies, MDPI, vol. 13(15), pages 1-24, August.
    40. Xuan Liang & Jiti Gao & Xiaodong Gong, 2019. "Time-Varying Coefficient Spatial Autoregressive Panel Data Model with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 26/19, Monash University, Department of Econometrics and Business Statistics.
    41. Bang-Qiang He & Xing-Jian Hong & Guo-Liang Fan, 2020. "Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects," Statistical Papers, Springer, vol. 61(6), pages 2351-2381, December.
    42. Henderson, Daniel J. & Carroll, Raymond J. & Li, Qi, 2008. "Nonparametric estimation and testing of fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 144(1), pages 257-275, May.
    43. Rui Li & Yuanyuan Zhang, 2021. "Two-stage estimation and simultaneous confidence band in partially nonlinear additive model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(8), pages 1109-1140, November.
    44. Suigen Yang & Xiujuan Yang & Xuefei Wang, 2024. "Estimation and Simultaneous Confidence Bands for Fixed-Effects Panel Data Partially Linear Models," Mathematics, MDPI, vol. 12(23), pages 1-18, November.
    45. Pei, Youquan & Huang, Tao & You, Jinhong, 2018. "Nonparametric fixed effects model for panel data with locally stationary regressors," Journal of Econometrics, Elsevier, vol. 202(2), pages 286-305.
    46. Zhang, Junjie & Wang, Can, 2011. "Co-benefits and additionality of the clean development mechanism: An empirical analysis," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 140-154, September.
    47. Wei, Chuanhua & Guo, Shuang & Zhai, Shufen, 2017. "Statistical inference of partially linear varying coefficient spatial autoregressive models," Economic Modelling, Elsevier, vol. 64(C), pages 553-559.
    48. He, Bang-Qiang & Hong, Xing-Jian & Fan, Guo-Liang, 2017. "Block empirical likelihood for partially linear panel data models with fixed effects," Statistics & Probability Letters, Elsevier, vol. 123(C), pages 128-138.
    49. Hao Xu & Peilin Wang & Kai Ding, 2024. "Transforming Agriculture: Empirical Insights into How the Digital Economy Elevates Agricultural Productivity in China," Sustainability, MDPI, vol. 16(23), pages 1-20, November.
    50. Taining Wang & Feng Yao & Subal C. Kumbhakar, 2024. "A flexible stochastic production frontier model with panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 564-588, June.
    51. Peter Pütz & Thomas Kneib, 2016. "A Penalized Spline Estimator for Fixed Effects Panel Data Models," SOEPpapers on Multidisciplinary Panel Data Research 827, DIW Berlin, The German Socio-Economic Panel (SOEP).
    52. Feng, Sanying & He, Wenqi & Li, Feng, 2020. "Model detection and estimation for varying coefficient panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
    53. Zongwu Cai & Linna Chen & Ying Fang, 2015. "Semiparametric Estimation of Partially Varying-Coefficient Dynamic Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 695-719, December.
    54. Mishra, Sagarika & Narayan, Paresh Kumar, 2015. "A nonparametric model of financial system and economic growth," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 175-191.
    55. Xuemei Hu & Weiming Yang, 2019. "Semi-parametric small area inference in generalized semi-varying coefficient mixed effects models," Statistical Papers, Springer, vol. 60(4), pages 1039-1058, August.
    56. Lai, Peng & Li, Gaorong & Lian, Heng, 2013. "Semiparametric estimation of fixed effects panel data single-index model," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1595-1602.
    57. Geng, Xin & Janssens, Wendy & Kramer, Berber N., 2017. "Liquid milk: Cash constraints and day-to-day intertemporal choice in financial diaries," IFPRI discussion papers 1602, International Food Policy Research Institute (IFPRI).
    58. De Monte Enrico, 2024. "Nonparametric Instrumental Regression with Two-Way Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 49-66, January.
    59. Syed F. Mahmud & Murat Tiniç, 2018. "Herding in Chinese stock markets: a nonparametric approach," Empirical Economics, Springer, vol. 55(2), pages 679-711, September.
    60. Halder, Shaymal C. & Malikov, Emir, 2020. "Smoothed LSDV estimation of functional-coefficient panel data models with two-way fixed effects," Economics Letters, Elsevier, vol. 192(C).
    61. Lin, Zhongjian & Li, Qi & Sun, Yiguo, 2014. "A consistent nonparametric test of parametric regression functional form in fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 167-179.

  32. Su, Liangjun & Ullah, Aman, 2006. "More Efficient Estimation In Nonparametric Regression With Nonparametric Autocorrelated Errors," Econometric Theory, Cambridge University Press, vol. 22(1), pages 98-126, February.

    Cited by:

    1. Ke Yang, 2012. "Multivariate Local Polynomial Regression With Autocorrelated Errors," Economics Bulletin, AccessEcon, vol. 32(4), pages 3298-3305.
    2. David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006. "Identification and Nonparametric Estimation of a Transformed Additively Separable Model," Boston College Working Papers in Economics 652, Boston College Department of Economics, revised 26 Nov 2008.
    3. Liu, Jun M. & Chen, Rong & Yao, Qiwei, 2010. "Nonparametric transfer function models," Journal of Econometrics, Elsevier, vol. 157(1), pages 151-164, July.
    4. Tanujit Dey & Kun Ho Kim & Chae Young Lim, 2018. "Bayesian time series regression with nonparametric modeling of autocorrelation," Computational Statistics, Springer, vol. 33(4), pages 1715-1731, December.
    5. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
    6. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    7. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Longer-Term Forecasting of Excess Stock Returns—The Five-Year Case," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
    8. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2021. "Short-Term Exuberance and Long-Term Stability: A Simultaneous Optimization of Stock Return Predictions for Short and Long Horizons," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
    9. 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.
    10. Wei, Honglei & Zhang, Hongfan & Jiang, Hui & Huang, Lei, 2022. "On the semi-varying coefficient dynamic panel data model with autocorrelated errors," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
    11. Martins-Filho, Carlos & Yao, Feng, 2009. "Nonparametric regression estimation with general parametric error covariance," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 309-333, March.
    12. Su, Liangjun & Ullah, Aman, 2008. "Local polynomial estimation of nonparametric simultaneous equations models," Journal of Econometrics, Elsevier, vol. 144(1), pages 193-218, May.
    13. Linton, Oliver & Xiao, Zhijie, 2019. "Efficient estimation of nonparametric regression in the presence of dynamic heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(2), pages 608-631.
    14. Enno Mammen & Jens Perch Nielsen & Michael Scholz & Stefan Sperlich, 2019. "Conditional Variance Forecasts for Long-Term Stock Returns," Risks, MDPI, vol. 7(4), pages 1-22, November.
    15. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2019. "Machine Learning for Forecasting Excess Stock Returns The Five-Year-View," Graz Economics Papers 2019-06, University of Graz, Department of Economics.
    16. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Short-Term Exuberance and long-term stability: A simultaneous optimization of stock return predictions for short and long horizons," Graz Economics Papers 2020-20, University of Graz, Department of Economics.
    17. Liangjun Su & Aman Ullah & Yun Wang, 2013. "Nonparametric regression estimation with general parametric error covariance: a more efficient two-step estimator," Empirical Economics, Springer, vol. 45(2), pages 1009-1024, October.

  33. Bao, Yong & Ullah, Aman, 2006. "Moments of the estimated Sharpe ratio when the observations are not IID," Finance Research Letters, Elsevier, vol. 3(1), pages 49-56, March.

    Cited by:

    1. Schuster, Martin & Auer, Benjamin R., 2012. "A note on empirical Sharpe ratio dynamics," Economics Letters, Elsevier, vol. 116(1), pages 124-128.
    2. Ken Johnston & John Hatem & Elton Scott, 2013. "A note on the evaluation of long-run investment decisions using the sharpe ratio," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(1), pages 150-157, January.
    3. Gonzales, Rolando, 2009. "Análisis de Portafolio con Ratios de Sharpe Remuestrados Mediante Bootstrapping [Portfolio analysis with Sharpe ratios resampled by bootstrapping]," MPRA Paper 28402, University Library of Munich, Germany.
    4. Carbajal-De-Nova, Carolina & Venegas-Martínez, Francisco, 2019. "On the paradigm shift of asset pricing models, before and after the global financial crisis: a literature review," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 15(29), pages 7-38, Primer se.
    5. Mahesh K.C & Arnab Kumar Laha, 2021. "A Robust Sharpe Ratio," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 444-465, November.
    6. John Douglas (J.D.) Opdyke, 2007. "Comparing Sharpe ratios: So where are the p-values?," Journal of Asset Management, Palgrave Macmillan, vol. 8(5), pages 308-336, December.

  34. Rilstone, Paul & Ullah, Aman, 2005. "Corrigendum to "The second-order bias and mean squared error of nonlinear estimators": [Journal of Econometrics 75(2) (1996) 369-395]," Journal of Econometrics, Elsevier, vol. 124(1), pages 203-204, January.

    Cited by:

    1. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    2. Ruby Chiu‐Hsing Weng & D. Stephen Coad, 2021. "Bias approximations for likelihood‐based estimators," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(4), pages 1474-1497, December.
    3. Xiaohong Chen & David Jacho-Chávez & Oliver Linton, 2012. "Averaging of moment condition estimators," CeMMAP working papers CWP26/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Bao, Yong & Ullah, Aman, 2007. "The second-order bias and mean squared error of estimators in time-series models," Journal of Econometrics, Elsevier, vol. 140(2), pages 650-669, October.

  35. Henderson, Daniel J. & Ullah, Aman, 2005. "A nonparametric random effects estimator," Economics Letters, Elsevier, vol. 88(3), pages 403-407, September.

    Cited by:

    1. Roy, Nilanjana & Cornelis van Kooten, G., 2004. "Another look at the income elasticity of non-point source air pollutants: a semiparametric approach," Economics Letters, Elsevier, vol. 85(1), pages 17-22, October.
    2. Hamadi, Malika & Heinen, Andréas, 2015. "Firm performance when ownership is very concentrated: Evidence from a semiparametric panel," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 172-194.
    3. Rodriguez-Poo, Juan M. & Soberón, Alexandra, 2015. "Nonparametric estimation of fixed effects panel data varying coefficient models," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 95-122.
    4. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    5. Jia Chen & Jiti Gao & Degui Li, 2011. "Estimation in Partially Linear Single-Index Panel Data Models with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 14/11, Monash University, Department of Econometrics and Business Statistics.
    6. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
    7. Li, Gaorong & Peng, Heng & Tong, Tiejun, 2013. "Simultaneous confidence band for nonparametric fixed effects panel data models," Economics Letters, Elsevier, vol. 119(3), pages 229-232.
    8. Li, Cong & Liang, Zhongwen, 2015. "Asymptotics for nonparametric and semiparametric fixed effects panel models," Journal of Econometrics, Elsevier, vol. 185(2), pages 420-434.
    9. DUo Qin & Yimeng Liu, 2013. "Modelling Scale Effect in Crosssection Data:The Case of Hedonic Price Regression," Working Papers 184, Department of Economics, SOAS University of London, UK.
    10. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    11. Bester, C. Alan & Hansen, Christian B., 2016. "Grouped effects estimators in fixed effects models," Journal of Econometrics, Elsevier, vol. 190(1), pages 197-208.
    12. Su, Liangjun & Ullah, Aman, 2007. "More efficient estimation of nonparametric panel data models with random effects," Economics Letters, Elsevier, vol. 96(3), pages 375-380, September.
    13. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    14. Kusum Mundra, 2005. "Nonparametric Slope Estimators for Fixed-Effect Panel Data," Econometrics 0502008, University Library of Munich, Germany.
    15. Henderson, Daniel J. & Carroll, Raymond J. & Li, Qi, 2008. "Nonparametric estimation and testing of fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 144(1), pages 257-275, May.
    16. Suigen Yang & Xiujuan Yang & Xuefei Wang, 2024. "Estimation and Simultaneous Confidence Bands for Fixed-Effects Panel Data Partially Linear Models," Mathematics, MDPI, vol. 12(23), pages 1-18, November.
    17. Ngwa Edielle, T. H. Jackson, 2006. "Soutenabilité des finances publiques au Cameroun : Approche de Bohn (1998) [Testing Fiscal sustainability in Cameroon : Approach of Bohn (1998)]," MPRA Paper 9738, University Library of Munich, Germany.
    18. Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
    19. Martins-Filho, Carlos & Yao, Feng, 2009. "Nonparametric regression estimation with general parametric error covariance," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 309-333, March.
    20. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    21. Áron Horváth & Blanka Imre & Zoltán Sápi, 2016. "The International Practice of Statistical Property Valuation Methods and the Possibilities of Introducing Automated Valuation Models in Hungary," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 15(4), pages 45-64.
    22. Francesco Bravo, 2016. "Local Information Theoretic Methods for smooth Coefficients Dynamic Panel Data Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 690-708, September.
    23. Shujie Ma & Jeffrey S. Racine & Aman Ullah, 2015. "Nonparametric Regression-Spline Random Effects Models," Department of Economics Working Papers 2015-10, McMaster University.
    24. Skrypnik, D., 2024. "Infrastructure and economic growth in the context of the evolutionary theory of economic policy," Journal of the New Economic Association, New Economic Association, vol. 62(1), pages 117-142.
    25. Serfas, D., 2018. "an ex-post econometric analysis of the abolishment of the canadian wheat board," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277286, International Association of Agricultural Economists.
    26. Roberto BASILE & Bernard GRESS, 2005. "Semi-Parametric Spatial Auto-Covariance Models Of Regional Growth In Europe," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 93-118.
    27. Lai, Peng & Li, Gaorong & Lian, Heng, 2013. "Semiparametric estimation of fixed effects panel data single-index model," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1595-1602.
    28. Gholamreza Hajargasht, 2009. "Nonparametric Panel Data Models, A Penalized Spline Approach," CEPA Working Papers Series WP052009, School of Economics, University of Queensland, Australia.

  36. Bao, Yong & Ullah, Aman, 2004. "Bias of a Value-at-Risk estimator," Finance Research Letters, Elsevier, vol. 1(4), pages 241-249, December.

    Cited by:

    1. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, October.
    2. Christian Gouriéroux & Jean-Michel Zakoian, 2012. "Estimation Adjusted VaR," Working Papers 2012-16, Center for Research in Economics and Statistics.
    3. Carl Lonnbark, 2010. "A corrected Value-at-Risk predictor," Applied Economics Letters, Taylor & Francis Journals, vol. 17(12), pages 1193-1196.
    4. Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-02312332, HAL.
    5. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    6. Claußen, Arndt & Rösch, Daniel & Schmelzle, Martin, 2019. "Hedging parameter risk," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 111-121.

  37. Syed Mahmud & Aman Ullah & Eray Yucel, 2004. "Testing Marshall-Lerner condition: a non-parametric approach," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 231-236.

    Cited by:

    1. Shah, Anwar & Majeed, Muhammad Tariq, 2014. "Real Exchange Rate and Trade Balance in Pakistan: An ARDL Co-integration Approach," MPRA Paper 57674, University Library of Munich, Germany.
    2. Bollino, Carlo Andrea, 2007. "Oil prices and the U.S. trade deficit," Journal of Policy Modeling, Elsevier, vol. 29(5), pages 729-738.
    3. David Matesanz & Guadalupe Fugarolas, 2009. "Exchange rate policy and trade balance: a cointegration analysis of the Argentine experience since 1962," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2571-2582.
    4. Usama Ehsan Khan, Muhammad Umar Zahid, Afshan Uroos, Aamir Hussain Siddiqui, 2018. "Impact of Devaluation on Balance of Trade: A Context of Neighboring Countries," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 3(2), pages 68-77, October.
    5. Muhammad Omer & Junaid Kamal & Jakob Haan, 2023. "Does an exchange rate depreciation improve the trade balance of Pakistan?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 163-185, February.
    6. Trofimov, Ivan D., 2020. "Real Exchange Rate and the Dynamics of Services Trade Balance in the UK: A Linear and Non-linear ARDL Analysis," MPRA Paper 106703, University Library of Munich, Germany.
    7. Michael W. Robbins & Thomas J. Fisher, 2015. "Cross-Correlation Matrices for Tests of Independence and Causality Between Two Multivariate Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 459-473, October.
    8. Fabio Augusto Reis Gomes & Lourenco Senne Paz, 2005. "Can real exchange rate devaluation improve the trade balance? The 1990-1998 Brazilian case," Applied Economics Letters, Taylor & Francis Journals, vol. 12(9), pages 525-528.
    9. Reinhard Schumacher, 2013. "Deconstructing the Theory of Comparative Advantage," World Economic Review, World Economics Association, vol. 2013(2), pages 1-83, February.
    10. Dr. Mohammad Alawin & Eman Al-Maghareez, 2013. "Factors Affecting Trade Balance, The Case Of Jordan," Far East Journal of Psychology and Business, Far East Research Centre, vol. 11(3), pages 33-49, May.
    11. Sastre, Luis, 2012. "Simultaneity between export and import flows and the Marshall–Lerner condition," Economic Modelling, Elsevier, vol. 29(3), pages 879-883.
    12. Durmus Ozdemir & Mustafa Kemal Gundogdu, 2015. "Simultaneity between export and import flows and the Marshall–Lerner condition: the Turkish case (1998–2013)," Discussion Papers 2015/01, Yasar University, Department of Economics.
    13. Luis Sastre, 2018. "Marshall-Lerner Condition and the Balance of Payments Constrained Growth: The Spanish Case," Review of Economics & Finance, Better Advances Press, Canada, vol. 13, pages 29-38, August.
    14. Mohammad Walid Hemat, 2024. "The determinants of trade deficit in Afghanistan: the role of foreign aid, exchange rate and price level," SN Business & Economics, Springer, vol. 4(11), pages 1-20, November.
    15. Yu Hsing, 2010. "Test of the Marshall-Lerner Condition for Eight Selected Asian Countries and Policy Implications," Global Economic Review, Taylor & Francis Journals, vol. 39(1), pages 91-98.
    16. Luis Satre Jiménez, 2010. "Economías abiertas y condición de Marshall-Lerner," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 9, pages 1-8, November.
    17. Gan-Ochir Doojav, 2018. "The Effect of Real Exchange Rate on Trade Balance in a Resource-Rich Economy: The Case of Mongolia," Foreign Trade Review, , vol. 53(4), pages 211-224, November.

  38. John Galbraith & Aman Ullah & Victoria Zinde-Walsh, 2002. "Estimation Of The Vector Moving Average Model By Vector Autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 205-219.

    Cited by:

    1. Sisi Qin & Wee‐Yeap Lau, 2023. "Cross‐border and cross‐commodity volatility spillover effects of Chinese soybean futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(12), pages 1836-1852, December.
    2. Hernandez, Manuel A. & Ibarra, Raul & Trupkin, Danilo R., 2011. "How far do shocks move across borders?: Examining volatility transmission in major agricultural futures markets," IFPRI discussion papers 1109, International Food Policy Research Institute (IFPRI).
    3. Patrick Richard, 2009. "Improving the accuracy of the analytical indirect inference estimator for MA models," Economics Bulletin, AccessEcon, vol. 29(4), pages 2795-2802.
    4. Stefan Bruder, 2014. "Comparing several methods to compute joint prediction regions for path forecasts generated by vector autoregressions," ECON - Working Papers 181, Department of Economics - University of Zurich, revised Dec 2015.
    5. Sbrana, Giacomo & Silvestrini, Andrea, 2013. "Aggregation of exponential smoothing processes with an application to portfolio risk evaluation," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1437-1450.
    6. Ufuk Devrim Demirel, 2015. "Identification of technology shocks using misspecified VARs," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(4), pages 1321-1349, November.
    7. Poloni, Federico & Sbrana, Giacomo, 2019. "Closed-form results for vector moving average models with a univariate estimation approach," Econometrics and Statistics, Elsevier, vol. 10(C), pages 27-52.
    8. BenSaïda, Ahmed, 2019. "Good and bad volatility spillovers: An asymmetric connectedness," Journal of Financial Markets, Elsevier, vol. 43(C), pages 78-95.
    9. Yin, Libo & Cao, Hong, 2024. "Understanding climate policy uncertainty: Evidence from temporal and spatial domains," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    10. Conlon, Thomas & Cotter, John & Gençay, Ramazan, 2018. "Long-run wavelet-based correlation for financial time series," European Journal of Operational Research, Elsevier, vol. 271(2), pages 676-696.

  39. Ullah, Aman, 2002. "Uses of entropy and divergence measures for evaluating econometric approximations and inference," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 313-326, March.

    Cited by:

    1. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Information Theoretic Optimality of Observation Driven Time Series Models," Tinbergen Institute Discussion Papers 14-046/III, Tinbergen Institute.
    2. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2019. "From Blackwell Dominance in Large Samples to Renyi Divergences and Back Again," Papers 1906.02838, arXiv.org, revised Sep 2020.
    3. McLeod, A.I. & Zhang, Y., 2008. "Faster ARMA maximum likelihood estimation," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2166-2176, January.
    4. Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2017. "Accelerating GARCH and Score-Driven Models: Optimality, Estimation and Forecasting," Tinbergen Institute Discussion Papers 17-059/III, Tinbergen Institute.
    5. Neary, Peter & Mrázová, Monika, 2017. "Sales and Markup Dispersion: Theory and Empirics," CEPR Discussion Papers 12044, C.E.P.R. Discussion Papers.
    6. Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
    7. Atukorala, Ranjani & Sriananthakumar, Sivagowry, 2015. "A comparison of the accuracy of asymptotic approximations in the dynamic regression model using Kullback-Leibler information," Economic Modelling, Elsevier, vol. 45(C), pages 169-174.
    8. Peter Neary & Monika MrázováMathieu Parenti, 2015. "Technology, Demand, And The Size Distribution Of Firms," Economics Series Working Papers 774, University of Oxford, Department of Economics.
    9. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Optimal Formulations for Nonlinear Autoregressive Processes," Tinbergen Institute Discussion Papers 14-103/III, Tinbergen Institute.

  40. Aman Ullah & Shalabh & Debasri Mukherjee, 2001. "Consistent Estimation of Regression Coefficients in Replicated Data with Non-Normal Measurement Errors," Annals of Economics and Finance, Society for AEF, vol. 2(1), pages 249-264, May.

    Cited by:

    1. Singh, Sukhbir & Jain, Kanchan & Sharma, Suresh, 2012. "Using stochastic prior information in consistent estimation of regression coefficients in replicated measurement error model," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 198-212.
    2. Galea, Manuel & de Castro, Mário, 2017. "Robust inference in a linear functional model with replications using the t distribution," Journal of Multivariate Analysis, Elsevier, vol. 160(C), pages 134-145.
    3. Sukhbir Singh & Kanchan Jain & Suresh Sharma, 2014. "Replicated measurement error model under exact linear restrictions," Statistical Papers, Springer, vol. 55(2), pages 253-274, May.

  41. Fan, Yanqin & Ullah, Aman, 1999. "Asymptotic Normality of a Combined Regression Estimator," Journal of Multivariate Analysis, Elsevier, vol. 71(2), pages 191-240, November.

    Cited by:

    1. Adolfo Maza, 2006. "Migrations and Regional Convergence: The Case of Spain," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 26(2), pages 191-202, October.
    2. Wenjie Wu, 2012. "Spatial Variations in Amenity Values: New Evidence from Beijing, China," SERC Discussion Papers 0113, Centre for Economic Performance, LSE.
    3. Dabo-Niang, Sophie & Francq, Christian & Zakoian, Jean-Michel, 2009. "Combining parametric and nonparametric approaches for more efficient time series prediction," MPRA Paper 16893, University Library of Munich, Germany.
    4. Sophie DABO-NIANG & Christian FRANCQ & Jean-Michel ZAKOIAN, 2009. "Combining Nonparametric and Optimal Linear Time Series Predictions," Working Papers 2009-18, Center for Research in Economics and Statistics.
    5. 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.
    6. Iglesias, Emma M. & Linton, Oliver, 2009. "Estimation of tail thickness parameters from GJR-GARCH models," UC3M Working papers. Economics we094726, Universidad Carlos III de Madrid. Departamento de Economía.
    7. Dustin Chambers, 2005. "Inequality and Growth: A Semiparametric Investigation," Computing in Economics and Finance 2005 132, Society for Computational Economics.
    8. Sancetta, Alessio, 2013. "Weak conditions for shrinking multivariate nonparametric density estimators," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 285-300.
    9. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).
    10. Yan Li & Liangjun Su & Yuewu Xu, 2015. "A Combined Approach to the Inference of Conditional Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 203-220, April.
    11. Victoria Zinde-Walsh, 2008. "Consequences of lack of smoothness in nonparametric estimation (in Russian)," Quantile, Quantile, issue 4, pages 57-69, March.
    12. Peter C. B. Phillips, 2017. "Reduced forms and weak instrumentation," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 818-839, October.
    13. Clemente Hernandez-Rodriguez, 2005. "Is the market concentration and interest-rates relationship in the Mexican commercial banking industry a sign of efficiency?," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 1(2), pages 7-38, Enero-Jun.
    14. Talamakrouni, Majda & El Ghouch, Anouar & Van Keilegom, Ingrid, 2012. "Guided censored regression," LIDAM Discussion Papers ISBA 2012023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    15. Xun Lu & Liangjun Su, 2014. "Jackknife Model Averaging for Quantile Regressions," Working Papers 11-2014, Singapore Management University, School of Economics.
    16. Aman Ullah & Huansha Wang, 2013. "Parametric and Nonparametric Frequentist Model Selection and Model Averaging," Econometrics, MDPI, vol. 1(2), pages 1-23, September.
    17. Cheng Chou & Ruoyao Shi, 2020. "Utilizing Two Types of Survey Data to Enhance the Accuracy of Labor Supply Elasticity Estimation," Working Papers 202018, University of California at Riverside, Department of Economics.
    18. Majda Talamakrouni & Anouar El Ghouch & Ingrid Van Keilegom, 2015. "Guided Censored Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 214-233, March.
    19. Adolfo Maza, 2006. "Wage flexibility and the EMU: a nonparametric and semiparametric analysis for the Spanish case," Applied Economics Letters, Taylor & Francis Journals, vol. 13(11), pages 733-736.
    20. Long, Xiangdong & Su, Liangjun & Ullah, Aman, 2011. "Estimation and Forecasting of Dynamic Conditional Covariance: A Semiparametric Multivariate Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 109-125.
    21. Stephen S. M. Lee & Mehdi Soleymani, 2015. "A Simple Formula for Mixing Estimators With Different Convergence Rates," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1463-1478, December.
    22. Ali Habibnia & Esfandiar Maasoumi, 2021. "Forecasting in Big Data Environments: An Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 363-381, December.
    23. Chambers, Dustin & Wu, Ying & Yao, Hong, 2008. "The impact of past growth on poverty in Chinese provinces," Journal of Asian Economics, Elsevier, vol. 19(4), pages 348-357, August.
    24. Chambers, Dustin, 2007. "Trading places: Does past growth impact inequality?," Journal of Development Economics, Elsevier, vol. 82(1), pages 257-266, January.
    25. El Ghouch, Anouar & Genton, Marc G., 2009. "Local Polynomial Quantile Regression With Parametric Features," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1416-1429.
    26. Adolfo Maza & Jose Villaverde, 2009. "Provincial Wages in Spain: Convergence and Flexibility," Urban Studies, Urban Studies Journal Limited, vol. 46(9), pages 1969-1993, August.
    27. Dustin Chambers, 2006. "Inequality and Growth: A Semiparametric Investigation," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 4(2), pages 25-44, July.

  42. Madhu Khanna & Kusum Mundra & Aman Ullah, 1999. "Parametric and semi-parametric estimation of the effect of firm attributes on efficiency: the electricity generating industry in India," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 8(4), pages 419-430.

    Cited by:

    1. Sushama Murty & Resham Nagpal, "undated". "Measuring output-based technical efficiency of Indian coal-based thermal power plants: A by-production approach," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 18-07, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    2. Sebastian Cuadros & Yeny E. Rodríguez & Javier Contreras, 2023. "Determinants of the Efficiency of Electricity Generation in Latin America and Caribbean Countries Using a Cragg’s Regression Model," Energies, MDPI, vol. 16(23), pages 1-18, December.
    3. Sugathan, Anish & Malghan, Deepak & Chandrashekar, S. & Sinha, Deepak K., 2019. "Downstream electric utility restructuring and upstream generation efficiency: Productivity dynamics of Indian coal and gas based electricity generators," Energy, Elsevier, vol. 178(C), pages 832-852.
    4. See, Kok Fong & Coelli, Tim, 2014. "Total factor productivity analysis of a single vertically integrated electricity utility in Malaysia using a Törnqvist index method," Utilities Policy, Elsevier, vol. 28(C), pages 62-72.
    5. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    6. Ghosh, Ranjan & Kathuria, Vinish, 2016. "The effect of regulatory governance on efficiency of thermal power generation in India: A stochastic frontier analysis," Energy Policy, Elsevier, vol. 89(C), pages 11-24.
    7. See, Kok Fong & Coelli, Tim, 2012. "An analysis of factors that influence the technical efficiency of Malaysian thermal power plants," Energy Economics, Elsevier, vol. 34(3), pages 677-685.
    8. Mohammad Ali Motafakker Azad & Mohsen Pourebadollahan Covich & Sakineh Sojoodi, 2015. "The Impact of Electricity Competitive Market Establishment on Technical Efficiency of Thermal Power Plants in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 1010-1015.
    9. Yu, Chin-Hsien & Zhao, Jinsong & Qin, Ping & Wang, Shinn-Shyr & Lee, Wen-Chieh, 2022. "Comparison of misallocation between the Chinese thermal power and hydropower electricity industries," Economic Modelling, Elsevier, vol. 116(C).
    10. Kabir Malik & Maureen Cropper & Alexander Limonov & Anoop Singh, 2011. "Estimating the Impact of Restructuring on Electricity Generation Efficiency: The Case of the Indian Thermal Power Sector," NBER Working Papers 17383, National Bureau of Economic Research, Inc.

  43. Elie Appelbaum & Aman Ullah, 1997. "Estimation Of Moments And Production Decisions Under Uncertainty," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 631-637, November.
    See citations under working paper version above.
  44. Rilstone, Paul & Srivastava, V. K. & Ullah, Aman, 1996. "The second-order bias and mean squared error of nonlinear estimators," Journal of Econometrics, Elsevier, vol. 75(2), pages 369-395, December.

    Cited by:

    1. Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
    2. Lee, Tae-Hwy & Ullah, Aman & Wang, He, 2018. "The second-order bias of quantile estimators," Economics Letters, Elsevier, vol. 173(C), pages 143-147.
    3. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    4. Linton, Oliver, 2000. "Edgeworth approximations for semiparametric instrumental variable estimators and test statistics," LSE Research Online Documents on Economics 2156, London School of Economics and Political Science, LSE Library.
    5. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    6. Creel, Michael & Kristensen, Dennis, 2011. "Indirect Likelihood Inference," Dynare Working Papers 8, CEPREMAP.
    7. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    8. Jeffrey M. Wooldridge, 2004. "Estimating average partial effects under conditional moment independence assumptions," CeMMAP working papers 03/04, Institute for Fiscal Studies.
    9. DEMOS Antonis, & KYRIAKOPOULOU Dimitra,, 2018. "Finite sample theory and bias correction of maximum likelihood estimators in the EGARCH model," LIDAM Discussion Papers CORE 2018007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Nov 2024.
    11. Bao Yong & Zhang Ru, 2013. "Estimation Bias and Feasible Conditional Forecasts from the First-Order Moving Average Model," Journal of Time Series Econometrics, De Gruyter, vol. 6(1), pages 63-80, July.
    12. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    13. Ivan Fernandez-Val, 2005. "Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects," Boston University - Department of Economics - Working Papers Series WP2005-38, Boston University - Department of Economics.
    14. Stelios Arvanitis & Antonis Demos, 2014. "A Class of Indirect Inference Estimators: Higher Order Asymptotics and Approximate Bias Correction (Revised)," DEOS Working Papers 1411, Athens University of Economics and Business, revised 23 Sep 2014.
    15. Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2024. "Efficient bias correction for cross‐section and panel data," Quantitative Economics, Econometric Society, vol. 15(3), pages 783-816, July.
    16. Paul Rilstone, 2021. "Higher-Order Stochastic Expansions and Approximate Moments for Non-linear Models with Heterogeneous Observations," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 99-120, December.
    17. Ruby Chiu‐Hsing Weng & D. Stephen Coad, 2021. "Bias approximations for likelihood‐based estimators," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(4), pages 1474-1497, December.
    18. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    19. Liang Jiang & Xiaohu Wang & Jun Yu, 2014. "On Bias in the Estimation of Structural Break Points," Working Papers 22-2014, Singapore Management University, School of Economics.
    20. Daniel Wilhelm, 2014. "Optimal bandwidth selection for robust generalized method of moments estimation," CeMMAP working papers 15/14, Institute for Fiscal Studies.
    21. Daniel Wilhelm, 2014. "Optimal bandwidth selection for robust generalized method of moments estimation," CeMMAP working papers CWP15/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    23. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    24. Whitney K. Newey & Richard Smith, 2003. "Higher order properties of GMM and generalised empirical likelihood estimators," CeMMAP working papers CWP04/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
    26. Tae-Hwy Lee & Aman Ullah & He Wang, 2024. "The second-order bias and mean squared error of quantile regression estimators," Indian Economic Review, Springer, vol. 59(1), pages 11-68, October.
    27. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    28. Damba Lkhagvasuren, 2009. "Large Locational Differences in Unemployment Despite High Labor Mobility: Impact of Moving Cost on Aggregate Unemployment and Welfare," Working Papers 09009, Concordia University, Department of Economics, revised Mar 2010.
    29. Chen, Xiaohong & Linton, Oliver & Jacho-Chávez, David T., 2009. "An alternative way of computing efficient instrumental variable estimators," LSE Research Online Documents on Economics 58016, London School of Economics and Political Science, LSE Library.
    30. Jochmans, Koen, 2024. "Modified-likelihood estimation of fixed-effect models for dyadic data," TSE Working Papers 24-1502, Toulouse School of Economics (TSE).
    31. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    32. Yu, Jun, 2012. "Bias in the estimation of the mean reversion parameter in continuous time models," Journal of Econometrics, Elsevier, vol. 169(1), pages 114-122.
    33. Fernández-Val, Iván & Gao, Wayne Yuan & Liao, Yuan & Vella, Francis, 2022. "Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes," IZA Discussion Papers 15236, Institute of Labor Economics (IZA).
    34. Jinyong Hahn & Whitney K. Newey, 2003. "Jackknife and analytical bias reduction for nonlinear panel models," CeMMAP working papers CWP17/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    36. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
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    1. DEMOS Antonis, & KYRIAKOPOULOU Dimitra,, 2018. "Finite sample theory and bias correction of maximum likelihood estimators in the EGARCH model," LIDAM Discussion Papers CORE 2018007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    7. Cheng, C.-L. & Shalabh, & Garg, G., 2014. "Coefficient of determination for multiple measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 137-152.
    8. Yong Bao, 2013. "On Sample Skewness and Kurtosis," Econometric Reviews, Taylor & Francis Journals, vol. 32(4), pages 415-448, December.

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    5. Boot, Tom, 2023. "Joint inference based on Stein-type averaging estimators in the linear regression model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1542-1563.

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    6. CHIKHI, Mohamed, 2009. "Identification non paramétrique d’un processus non linéaire hétéroscédastique [Nonparametric identification of heteroscedastic nonlinear process]," MPRA Paper 82108, University Library of Munich, Germany, revised 2009.
    7. Elvira Silva & Spiro Stefanou, 2003. "Nonparametric Dynamic Production Analysis and the Theory of Cost," Journal of Productivity Analysis, Springer, vol. 19(1), pages 5-32, January.
    8. 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.

  49. Aman Ullah, 1988. "Non-parametric Estimation of Econometric Functionals," Canadian Journal of Economics, Canadian Economics Association, vol. 21(3), pages 625-658, August.

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    7. 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.
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    9. Holt, Matthew T. & Moschini, Giancarlo, 1992. "Alternative Measures of Risk in Commodity Supply Models: An Analysis of Sow Farrowing Decisions in the United States," ISU General Staff Papers 199207010700001160, Iowa State University, Department of Economics.
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  65. Ullah, Aman & Nagar, A L, 1974. "The Exact Mean of the Two-Stage Least Squares Estimator of the Structural Parameters in an Equation Having Three Endogenous Variables," Econometrica, Econometric Society, vol. 42(4), pages 749-758, July.

    Cited by:

    1. Saman Banafti & Tae-Hwy Lee, 2022. "Inferential Theory for Granular Instrumental Variables in High Dimensions," Papers 2201.06605, arXiv.org, revised Sep 2023.
    2. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    3. Keisuke Hirano & Jack R. Porter, 2015. "Location Properties of Point Estimators in Linear Instrumental Variables and Related Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 720-733, December.

Chapters

  1. Yong Bao & Aman Ullah & Ru Zhang, 2014. "Moment Approximation for Least-Squares Estimator in First-Order Regression Models with Unit Root and Nonnormal Errors," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 14, pages 65-92, Emerald Group Publishing Limited.

    Cited by:

    1. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.

Books

  1. Ullah, Aman, 2004. "Finite Sample Econometrics," OUP Catalogue, Oxford University Press, number 9780198774488.

    Cited by:

    1. Lee, Tae-Hwy & Ullah, Aman & Wang, He, 2018. "The second-order bias of quantile estimators," Economics Letters, Elsevier, vol. 173(C), pages 143-147.
    2. Pesaran, M.H. & Ullah, A. & Yamagata. T., 2006. "A Bias-Adjusted LM Test of Error Cross Section Independence," Cambridge Working Papers in Economics 0641, Faculty of Economics, University of Cambridge.
    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. Moscone, Francesco & Tosetti, Elisa, 2009. "GMM estimation of spatial panels," MPRA Paper 16327, University Library of Munich, Germany.
    5. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    6. Plümper, Thomas & Neumayer, Eric, 2009. "Famine Mortality, Rational Political Inactivity, and International Food Aid," World Development, Elsevier, vol. 37(1), pages 50-61, January.
    7. Matteo Pelagatti & Emilio Colombo, 2012. "Unpuzzling the Purchasing Power Parity Puzzle," Working Papers 221, University of Milano-Bicocca, Department of Economics, revised Mar 2012.
    8. Rodrigo Alfaro, 2008. "Higher Order Properties of the Symmetricallr Normalized Instrumental Variable Estimator," Working Papers Central Bank of Chile 500, Central Bank of Chile.
    9. K. L. Krishna, 2021. "Professor A.L. Nagar’s Glorious Academic Life at The Delhi School of Economics and Elsewhere: An Introductory Essay," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 9-16, December.
    10. Hsiao, Cheng & Pesaran, M. Hashem & Pick, Andreas, 2007. "Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models," IZA Discussion Papers 2756, Institute of Labor Economics (IZA).
    11. Cyril Coste & Raphaël Douady & Ilija I. Zovko, 2011. "The Stress VaR: A New Risk Concept for Extreme Risk and Fund Allocation," Post-Print hal-00666234, HAL.
    12. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    13. 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.
    14. Symeonides Spyridon D. & Karavias Yiannis & Tzavalis Elias, 2017. "Size corrected Significance Tests in Seemingly Unrelated Regressions with Autocorrelated Errors," Journal of Time Series Econometrics, De Gruyter, vol. 9(1), pages 1-41, January.
    15. Bao Yong & Zhang Ru, 2013. "Estimation Bias and Feasible Conditional Forecasts from the First-Order Moving Average Model," Journal of Time Series Econometrics, De Gruyter, vol. 6(1), pages 63-80, July.
    16. Stelios Arvanitis & Antonis Demos, 2014. "A Class of Indirect Inference Estimators: Higher Order Asymptotics and Approximate Bias Correction (Revised)," DEOS Working Papers 1411, Athens University of Economics and Business, revised 23 Sep 2014.
    17. Yong Bao & Xiaotian Liu & Aman Ullah, 2020. "On the Exact Statistical Distribution of Econometric Estimators and Test Statistics," Working Papers 202014, University of California at Riverside, Department of Economics, revised Jun 2020.
    18. Qian, Chen & Giles, David E., 2007. "The bias of elasticity estimators in linear regression: Some analytic results," Economics Letters, Elsevier, vol. 94(2), pages 185-191, February.
    19. M. Hashem Pesaran & Andreas Pick & Allan Timmermann, 2009. "Variable Selection and Inference for Multi-period Forecasting Problems," CESifo Working Paper Series 2543, CESifo.
    20. Yukitoshi Matsushita & Taisuke Otsu, 2020. "Second-order refinements for t-ratios with many instruments," STICERD - Econometrics Paper Series 612, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    21. Matthew C. Harding & Jerry Hausman & Christopher Palmer, 2015. "Finite sample bias corrected IV estimation for weak and many instruments," CeMMAP working papers CWP41/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Li, Kunpeng, 2022. "Threshold spatial autoregressive model," MPRA Paper 113568, University Library of Munich, Germany.
    23. 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).
    24. Paul Rilstone, 2021. "Higher-Order Stochastic Expansions and Approximate Moments for Non-linear Models with Heterogeneous Observations," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 99-120, December.
    25. Iglesias, Emma M. & Phillips, Garry D.A., 2011. "Almost Unbiased Estimation in Simultaneous Equations Models with Strong and / or Weak Instruments," Cardiff Economics Working Papers E2011/19, Cardiff University, Cardiff Business School, Economics Section.
    26. Juan F. Rendón & Alfredo Trespalacios & Lina M. Cortés & Hernán D. Villada, 2019. "Modeling of electrical energy demand: beyond normality," Documentos de Trabajo de Valor Público 17306, Universidad EAFIT.
    27. Yong Bao & Aman Ullah & Yun Wang & Jun Yu, 2013. "Bias in the Mean Reversion Estimator in Continuous-Time Gaussian and Levy Processes," Working Papers CoFie-01-2013, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    28. Ali Mehrabani, 2024. "Stein-Like Shrinkage Estimators for Coefficients of a Single-Equation in Simultaneous Equation Systems," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202414, University of Kansas, Department of Economics.
    29. Yong Li & Xiaobin Liu & Jun Yu & Tao Zeng, 2018. "A New Wald Test for Hypothesis Testing Based on MCMC outputs," Papers 1801.00973, arXiv.org.
    30. Moscone, F. & Tosetti, E., 2011. "GMM estimation of spatial panels with fixed effects and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 41(5), pages 487-497, September.
    31. Yu, Jun, 2012. "Bias in the estimation of the mean reversion parameter in continuous time models," Journal of Econometrics, Elsevier, vol. 169(1), pages 114-122.
    32. Rodrigo Alfaro & Andrés Sagner, 2009. "When RSI met the Binomial-Tree," Working Papers Central Bank of Chile 520, Central Bank of Chile.
    33. Tom Boot & Johannes W. Ligtenberg, 2023. "Identification- and many instrument-robust inference via invariant moment conditions," Papers 2303.07822, arXiv.org, revised Sep 2023.
    34. Kiviet, J.F. & Phillips, G.D.A., 1999. "Higher-Order Asymptotic Expansions of the Least-Squares Estimation Bias in First-Order Dynamic Regression Models," Discussion Papers 9903, University of Exeter, Department of Economics.
    35. Emma Iglesias & Jean Marie Dufour, 2004. "Finite Sample and Optimal Inference in Possibly Nonstationary ARCH Models with Gaussian and Heavy-Tailed Errors," Econometric Society 2004 North American Summer Meetings 161, Econometric Society.
    36. Yong Bao, 2015. "Should We Demean the Data?," Annals of Economics and Finance, Society for AEF, vol. 16(1), pages 163-171, May.
    37. Kiviet, Jan F. & Phillips, Garry D.A., 2014. "Improved variance estimation of maximum likelihood estimators in stable first-order dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 424-448.
    38. Alfaro, Rodrigo & Sagner, Andres, 2010. "Financial Forecast for the Relative Strength Index," MPRA Paper 25913, University Library of Munich, Germany, revised Apr 2010.
    39. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    40. Ali Mehrabani & Aman Ullah, 2022. "Weighted Average Estimation in Panel Data," Working Papers 202209, University of California at Riverside, Department of Economics, revised Apr 2022.
    41. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2021. "Efficient Combined Estimation under Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202107, University of Kansas, Department of Economics.
    42. Liu-Evans, Gareth, 2014. "A note on approximating moments of least squares estimators," MPRA Paper 57543, University Library of Munich, Germany.
    43. Peter C.B. Phillips & Ji Hyung Lee, 2012. "VARs with Mixed Roots Near Unity," Cowles Foundation Discussion Papers 1845, Cowles Foundation for Research in Economics, Yale University.
    44. Bao, Yong & Ullah, Aman, 2006. "Moments of the estimated Sharpe ratio when the observations are not IID," Finance Research Letters, Elsevier, vol. 3(1), pages 49-56, March.
    45. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    46. Pesaran, M. Hashem & Yamagata, Takashi, 2012. "Testing CAPM with a Large Number of Assets," IZA Discussion Papers 6469, Institute of Labor Economics (IZA).
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