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In Choi

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. In Choi, 2012. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Mentioned in:

    1. So Much Good Reading........
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2013-10-09 04:21:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Choi, In, 1999. "Testing the Random Walk Hypothesis for Real Exchange Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 293-308, May-June.

    Mentioned in:

    1. Testing the random walk hypothesis for real exchange rates (Journal of Applied Econometrics 1999) in ReplicationWiki ()

Working papers

  1. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. 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.
    2. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    3. Fei Chen & Guotong Qiao & Na Wang & Dandan Zhang, 2022. "Study on the Influence of Population Urbanization on Agricultural Eco-Efficiency and on Agricultural Eco-Efficiency Remeasuring in China," Sustainability, MDPI, vol. 14(20), pages 1-18, October.

  2. In Choi & Rui Lin & Yongcheol Shin, 2020. "Canonical Correlation-based Model Selection for the Multilevel Factors," Working Papers 2008, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Jie Wei & Yonghui Zhang, 2023. "Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?," Papers 2305.05934, arXiv.org, revised Nov 2024.

  3. In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Shi Yafeng & Ai Chunrong & Yanlong Shi & Ying Tingting & Xu Qunfang, 2023. "Large covariance estimation using a factor model with common and group‐specific factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2217-2248, December.
    2. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2023. "Expecting the unexpected: Stressed scenarios for economic growth," Working Papers 202314, University of California at Riverside, Department of Economics.
    3. Sung Hoon Choi & Donggyu Kim, 2023. "Large Global Volatility Matrix Analysis Based on Observation Structural Information," Papers 2305.01464, arXiv.org, revised Feb 2024.
    4. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    5. Yufeng Mao & Bin Peng & Mervyn Silvapulle & Param Silvapulle & Yanrong Yang, 2021. "Decomposition of Bilateral Trade Flows Using a Three-Dimensional Panel Data Model," Papers 2101.06805, arXiv.org.
    6. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    7. Venetis, Ioannis & Ladas, Avgoustinos, 2022. "Co-movement and global factors in sovereign bond yields," MPRA Paper 115801, University Library of Munich, Germany.
    8. Sung Hoon Choi & Donggyu Kim, 2022. "Large Volatility Matrix Analysis Using Global and National Factor Models," Papers 2208.12323, arXiv.org, revised Dec 2022.
    9. Carlos Vladimir Rodríguez-Caballero & Massimiliano Caporin, 2018. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," CREATES Research Papers 2018-33, Department of Economics and Business Economics, Aarhus University.
    10. Simon Freyaldenhoven, 2020. "Identification Through Sparsity in Factor Models," Working Papers 20-25, Federal Reserve Bank of Philadelphia.
    11. Carlos Vladimir Rodríguez-Caballero, 2016. "Panel Data with Cross-Sectional Dependence Characterized by a Multi-Level Factor Structure," CREATES Research Papers 2016-31, Department of Economics and Business Economics, Aarhus University.
    12. Camacho, Maximo & Lopez-Buenache, German, 2023. "Factor models for large and incomplete data sets with unknown group structure," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1205-1220.
    13. In Choi & Rui Lin & Yongcheol Shin, 2020. "Canonical Correlation-based Model Selection for the Multilevel Factors," Working Papers 2008, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    14. Kapetanios, George & Serlenga, Laura & Shin, Yongcheol, 2021. "Estimation and inference for multi-dimensional heterogeneous panel datasets with hierarchical multi-factor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 504-531.
    15. Guohua Feng & Jiti Gao & Bin Peng, 2021. "Productivity Convergence in Manufacturing: A Hierarchical Panel Data Approach," Monash Econometrics and Business Statistics Working Papers 16/21, Monash University, Department of Econometrics and Business Statistics.
    16. Simon Freyaldenhoven, 2021. "Factor Models with Local Factors—Determining the Number of Relevant Factors," Working Papers 21-15, Federal Reserve Bank of Philadelphia.
    17. Yoshimasa Uematsu & Takashi Yamagata, 2019. "Estimation of Weak Factor Models," ISER Discussion Paper 1053r, Institute of Social and Economic Research, Osaka University, revised Mar 2020.
    18. Ergemen, Yunus Emre, 2022. "Forecasting inflation rates with multi-level international dependence," Economics Letters, Elsevier, vol. 214(C).
    19. Yufeng Mao & Bin Peng & Mervyn J Silvapulle & Param Silvapulle & Yanrong Yang, 2021. "Decomposition of Bilateral Trade Flows Using a Three-Dimensional Panel Data Model," Monash Econometrics and Business Statistics Working Papers 7/21, Monash University, Department of Econometrics and Business Statistics.
    20. Wang, Zongrun & Zhou, Ling & Mi, Yunlong & Shi, Yong, 2022. "Measuring dynamic pandemic-related policy effects: A time-varying parameter multi-level dynamic factor model approach," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    21. Zhe Sun & Yundong Tu, 2024. "Factors in Fashion: Factor Analysis towards the Mode," Papers 2409.19287, arXiv.org.
    22. Shiwen Liu & Zhen Zhang & Junhua Yang & Wei Hu, 2022. "Exploring Increasing Urban Resident Electricity Consumption: The Spatial Spillover Effect of Resident Income," Energies, MDPI, vol. 15(12), pages 1-17, June.

  4. In Choi & Seong Jin Hwang, 2012. "Forecasting Korean inflation," Working Papers 1202, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Corona, Francisco & Poncela, Pilar, 2017. "Estimating non-stationary common factors : Implications for risk sharing," DES - Working Papers. Statistics and Econometrics. WS 24585, Universidad Carlos III de Madrid. Departamento de Estadística.

  5. In Choi, 2012. "Model Selection for Factor Analysis: Some New Criteria and Performance Comparisons," Working Papers 1209, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Hevia, Constantino & Servén, Luis, 2018. "Assessing the degree of international consumption risk sharing," Journal of Development Economics, Elsevier, vol. 134(C), pages 176-190.
    2. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
    3. Xu Cheng & Zhipeng Liao & Frank Schorfheide, 2016. "Shrinkage Estimation of High-Dimensional Factor Models with Structural Instabilities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1511-1543.
    4. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-Varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," ECONtribute Discussion Papers Series 083, University of Bonn and University of Cologne, Germany.
    5. Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023. "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, vol. 233(1), pages 237-250.
    6. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    7. Chen, Yunxiao & Li, Xiaoou, 2022. "Determining the number of factors in high-dimensional generalized latent factor models," LSE Research Online Documents on Economics 111574, London School of Economics and Political Science, LSE Library.
    8. Eric Hillebrand & Jakob Guldbæk Mikkelsen & Lars Spreng & Giovanni Urga, 2023. "Exchange rates and macroeconomic fundamentals: Evidence of instabilities from time‐varying factor loadings," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 857-877, September.
    9. Davis, J. Scott & Valente, Giorgio & van Wincoop, Eric, 2021. "Global drivers of gross and net capital flows," Journal of International Economics, Elsevier, vol. 128(C).
    10. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    11. In Choi & Rui Lin & Yongcheol Shin, 2020. "Canonical Correlation-based Model Selection for the Multilevel Factors," Working Papers 2008, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    12. Luca Margaritella & Joakim Westerlund, 2023. "Using information criteria to select averages in CCE," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 405-421.
    13. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," Papers 2103.12159, arXiv.org, revised May 2022.
    14. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    15. Janys, Lena & Siflinger, Bettina, 2024. "Mental health and abortions among young women: time-varying unobserved heterogeneity, health behaviors, and risky decisions," Journal of Econometrics, Elsevier, vol. 238(1).
    16. Byoungsoo Cho, 2020. "The Monetary Policy Reaction Function in Korea with Multi-level Factors," Korean Economic Review, Korean Economic Association, vol. 36, pages 353-376.
    17. Eric Hillebrand & Jakob Mikkelsen & Lars Spreng & Giovanni Urga, 2020. "Exchange Rates and Macroeconomic Fundamentals: Evidence of Instabilities from Time-Varying Factor Loadings," CREATES Research Papers 2020-19, Department of Economics and Business Economics, Aarhus University.
    18. Zhao Zhao & Guowei Cui & Shaoping Wang, 2017. "A Monte Carlo comparison of estimating the number of dynamic factors," Empirical Economics, Springer, vol. 53(3), pages 1217-1241, November.

  6. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.

    Cited by:

    1. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    2. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    3. Christopher Otrok & Panayiotis M. Pourpourides, 2011. "On the Cyclicality of Real Wages and Wage Differentials," Working Papers 2011-4, Central Bank of Cyprus.
    4. Kaminska, Iryna & Vayanos, Dimitri & Zinna, Gabriele, 2011. "Preferred-habitat investors and the US term structure of real rates," LSE Research Online Documents on Economics 119074, London School of Economics and Political Science, LSE Library.
    5. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," CREATES Research Papers 2011-37, Department of Economics and Business Economics, Aarhus University.
    6. Corona, Francisco & Poncela, Pilar, 2017. "Estimating non-stationary common factors : Implications for risk sharing," DES - Working Papers. Statistics and Econometrics. WS 24585, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Tjeerd M. Boonman & Jan P.A.M. Jacobs & Gerard H. Kuper, 2011. "Why didn't the Global Financial Crisis hit Latin America?," CIRANO Working Papers 2011s-63, CIRANO.

  7. In Choi, 2011. "Efficient Estimation of Nonstationary Factor Models," Working Papers 1101, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Jun 2011.

    Cited by:

    1. Trapani, Lorenzo, 2013. "On bootstrapping panel factor series," Journal of Econometrics, Elsevier, vol. 172(1), pages 127-141.
    2. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    3. Yunus Emre Ergemen, 2016. "Generalized Efficient Inference on Factor Models with Long-Range Dependence," CREATES Research Papers 2016-05, Department of Economics and Business Economics, Aarhus University.
    4. Zhou, X. & Solberger, M., 2013. "A Lagrange multiplier-type test for idiosyncratic unit roots in the exact factor model under misspecification," Research Memorandum 058, Maastricht University, Graduate School of Business and Economics (GSBE).

  8. In Choi, 2010. "Spurious Fixed Effects Regression," Working Papers 1001, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Jun 2011.

    Cited by:

    1. Victor Esteban Jarosiewicz & David Gaddis Ross, 2023. "Revisiting managerial “style”: The replicability and falsifiability of manager fixed effects for firm policies," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 858-886, March.
    2. Stefano Bonini & Justin Deng & Mascia Ferrari & Kose John & David Gaddis Ross, 2022. "Long‐tenured independent directors and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 43(8), pages 1602-1634, August.

  9. Choi, In & Kurozumi, Eiji & 黒住, 英司, 2008. "Model Selection Criteria for the Leads-and-Lags Cointegrating Regression," CCES Discussion Paper Series 6, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. Schweikert, Karsten, 2018. "Are gold and silver cointegrated? New evidence from quantile cointegrating regressions," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 44-51.
    2. Kaddour Hadri & Eiji Kurozumi & Yao Rao, 2015. "Novel panel cointegration tests emending for cross‐section dependence with N fixed," Econometrics Journal, Royal Economic Society, vol. 18(3), pages 363-411, October.
    3. Yoichi Arai, 2015. "Testing for Linearity in Regressions with I(1) Processes," GRIPS Discussion Papers 15-11, National Graduate Institute for Policy Studies.
    4. Daniel Ordonez Callamand & Luis Fernando Melo-Velandia & Daniel Parra-Amado, 2018. "Una exploración reciente a la demanda por dinero en Colombia bajo un enfoque no lineal," Revista de Economía del Rosario, Universidad del Rosario, vol. 21(1), pages 5-37, June.
    5. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    6. Martin Wagner & Dominik Wied, 2017. "Consistent Monitoring of Cointegrating Relationships: The US Housing Market and the Subprime Crisis," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 960-980, November.
    7. Vogelsang, Timothy J. & Wagner, Martin, 2011. "Integrated Modified OLS Estimation and Fixed-b Inference for Cointegrating Regressions," Economics Series 263, Institute for Advanced Studies.
    8. Mario Alloza & Jesús Gonzalo & Carlos Sanz, 2019. "Dynamic effects of persistent shocks," Working Papers 1944, Banco de España.
    9. Jack R. Rogers, 2013. "Monetary Transmission to UK Retail Mortgage Rates before and after August 2007," Discussion Papers 1307, University of Exeter, Department of Economics.
    10. KUROZUMI, Eiji & 黒住, 英司 & SKROBOTOV, Anton, 2016. "Confidence Sets for the Break Date in Cointegrating Regressions," Discussion Papers 2016-07, Graduate School of Economics, Hitotsubashi University.
    11. Karsten Reichold & Carsten Jentsch, 2022. "A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions," Papers 2204.01373, arXiv.org.
    12. David Neto, 2023. "Penalized leads-and-lags cointegrating regression: a simulation study and two empirical applications," Empirical Economics, Springer, vol. 65(2), pages 949-971, August.

  10. In Choi, 2007. "Efficient Estimation of Factor Models," Working Papers 0701, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2010.

    Cited by:

    1. Shi Yafeng & Ai Chunrong & Yanlong Shi & Ying Tingting & Xu Qunfang, 2023. "Large covariance estimation using a factor model with common and group‐specific factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2217-2248, December.
    2. Sung Hoon Choi, 2021. "Feasible Weighted Projected Principal Component Analysis for Factor Models with an Application to Bond Risk Premia," Papers 2108.10250, arXiv.org, revised May 2022.
    3. Shaoxin Wang & Hu Yang & Chaoli Yao, 2019. "On the penalized maximum likelihood estimation of high-dimensional approximate factor model," Computational Statistics, Springer, vol. 34(2), pages 819-846, June.
    4. Bai, Jushan & Liao, Yuan, 2012. "Efficient Estimation of Approximate Factor Models," MPRA Paper 41558, University Library of Munich, Germany.
    5. Christian Hansen & Yuan Liao, 2016. "The Factor-Lasso and K-Step Bootstrap Approach for Inference in High-Dimensional Economic Applications," Papers 1611.09420, arXiv.org, revised Dec 2016.
    6. Matteo Barigozzi, 2023. "Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models," Papers 2307.09864, arXiv.org, revised Jun 2024.
    7. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    8. Gregory Connor & Robert A. Korajczyk, 2019. "Semi-strong factors in asset returns," Economics Department Working Paper Series n294-19.pdf, Department of Economics, National University of Ireland - Maynooth.
    9. Simon Freyaldenhoven, 2017. "A Generalized Factor Model with Local Factors," 2017 Papers pfr361, Job Market Papers.
    10. Jianqing Fan & Yuan Liao & Han Liu, 2016. "An overview of the estimation of large covariance and precision matrices," Econometrics Journal, Royal Economic Society, vol. 19(1), pages 1-32, February.
    11. Trapani, Lorenzo, 2013. "On bootstrapping panel factor series," Journal of Econometrics, Elsevier, vol. 172(1), pages 127-141.
    12. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    13. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    14. Hörmann, Siegfried & Jammoul, Fatima, 2022. "Consistently recovering the signal from noisy functional data," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    15. Urga, Giovanni & Wang, Fa, 2022. "Estimation and inference for high dimensional factor model with regime switching," MPRA Paper 113172, University Library of Munich, Germany.
    16. Poncela, Pilar, 2015. "Small versus big-data factor extraction in Dynamic Factor Models: An empirical assessment," DES - Working Papers. Statistics and Econometrics. WS ws1502, Universidad Carlos III de Madrid. Departamento de Estadística.
    17. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.
    18. Wan, Runzhe & Li, Yingying & Lu, Wenbin & Song, Rui, 2024. "Mining the factor zoo: Estimation of latent factor models with sufficient proxies," Journal of Econometrics, Elsevier, vol. 239(2).
    19. Hande Karabiyik & Joakim Westerlund, 2021. "Forecasting using cross-section average–augmented time series regressions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 315-333.
    20. Ma, Tao & Zhou, Zhou & Antoniou, Constantinos, 2018. "Dynamic factor model for network traffic state forecast," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 281-317.
    21. Rachida Ouysse, 2017. "Constrained principal components estimation of large approximate factor models," Discussion Papers 2017-12, School of Economics, The University of New South Wales.
    22. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach," PIER Working Paper Archive 12-046, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    23. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    24. Fresoli, Diego & Poncela, Pilar & Ruiz, Esther, 2023. "Ignoring cross-correlated idiosyncratic components when extracting factors in dynamic factor models," Economics Letters, Elsevier, vol. 230(C).
    25. Joakim Westerlund, 2020. "A cross‐section average‐based principal components approach for fixed‐T panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 776-785, September.
    26. In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    27. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," Discussion Papers of DIW Berlin 1351, DIW Berlin, German Institute for Economic Research.
    28. Jiang, Pan & Perez, M. Fabricio, 2021. "Follow the leader: Index tracking with factor models," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 337-350.
    29. In Choi & Seong Jin Hwang, 2012. "Forecasting Korean inflation," Working Papers 1202, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    30. In Choi, 2012. "Model Selection for Factor Analysis: Some New Criteria and Performance Comparisons," Working Papers 1209, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    31. Bai, Jushan & Wang, Peng, 2012. "Identification and estimation of dynamic factor models," MPRA Paper 38434, University Library of Munich, Germany.
    32. Bai, Jushan & Liao, Yuan, 2016. "Efficient estimation of approximate factor models via penalized maximum likelihood," Journal of Econometrics, Elsevier, vol. 191(1), pages 1-18.
    33. Yunus Emre Ergemen, 2022. "Parametric Estimation of Long Memory in Factor Models," CREATES Research Papers 2022-10, Department of Economics and Business Economics, Aarhus University.
    34. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    35. Bai, Jushan & Liao, Yuan, 2017. "Inferences in panel data with interactive effects using large covariance matrices," Journal of Econometrics, Elsevier, vol. 200(1), pages 59-78.

  11. In Choi & Timothy Chue, 2004. "Subsampling Hypothesis Tests for Nonstationary Panels with Applications to the PPP Hypothesis," Econometric Society 2004 Far Eastern Meetings 800, Econometric Society.

    Cited by:

    1. Michel Beine & Bertrand Candelon, 2011. "Liberalisation and stock market co-movement between emerging economies," ULB Institutional Repository 2013/169589, ULB -- Universite Libre de Bruxelles.
    2. Joerg Breitung & M. Hashem Pesaran, 2005. "Unit Roots and Cointegration in Panels," CESifo Working Paper Series 1565, CESifo.

  12. In Choi & Peter C.B. Phillips, 1989. "Asymptotic and Finite Sample Distribution Theory for IV Estimators and Tests in Partially Identified Structural Equations," Cowles Foundation Discussion Papers 929, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Donald W. K. Andrews & Xu Cheng, 2011. "Maximum Likelihood Estimation and Uniform Inference with Sporadic Identification Failure," Cowles Foundation Discussion Papers 1824R, Cowles Foundation for Research in Economics, Yale University, revised Oct 2012.
    2. DUFOUR, Jean-Marie, 2001. "Logique et tests d'hypotheses: reflexions sur les problemes mal poses en econometrie," Cahiers de recherche 2001-15, Universite de Montreal, Departement de sciences economiques.
    3. Jean-Marie Dufour, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," CIRANO Working Papers 2003s-49, CIRANO.
    4. John Chao & Norman Swanson, 2004. "Consistent Estimation with a Large Number of Weak Instruments," Departmental Working Papers 200421, Rutgers University, Department of Economics.
    5. Firmin Doko Tchatoka, 2014. "Specification Tests with Weak and Invalid Instruments," School of Economics and Public Policy Working Papers 2014-05, University of Adelaide, School of Economics and Public Policy.
    6. Chen, Qihui, 2021. "Robust and optimal estimation for partially linear instrumental variables models with partial identification," Journal of Econometrics, Elsevier, vol. 221(2), pages 368-380.
    7. Channing Arndt & Sam Jones & Finn Tarp, 2009. "Aid and Growth: Have We Come Full Circle?," WIDER Working Paper Series DP2009-05, World Institute for Development Economic Research (UNU-WIDER).
    8. Grant Hillier & Giovanni Forchini, 2004. "Ill-posed Problems and Instruments' Weakness," Econometric Society 2004 Australasian Meetings 357, Econometric Society.
    9. Poskitt, D.S. & Skeels, C.L., 2007. "Approximating the distribution of the two-stage least squares estimator when the concentration parameter is small," Journal of Econometrics, Elsevier, vol. 139(1), pages 217-236, July.
    10. Giovanni Forchini, 2006. "The Asymptotic distribution of the LIML Estimator in a Partially Identified Structural Equation," Monash Econometrics and Business Statistics Working Papers 1/06, Monash University, Department of Econometrics and Business Statistics.
    11. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    12. Manuel Arellano & Lars Peter Hansen & Enrique Sentana, 2009. "Underidentification?," CeMMAP working papers CWP24/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Fabio Canova, 2007. "How much structure in empirical models?," Economics Working Papers 1054, Department of Economics and Business, Universitat Pompeu Fabra.
    14. Donald W.K. Andrews & Xu Cheng, 2011. "GMM Estimation and Uniform Subvector Inference with Possible Identification Failure," Cowles Foundation Discussion Papers 1828, Cowles Foundation for Research in Economics, Yale University.
    15. Komunjer, Ivana, 2007. "Global Identification In Nonlinear Semiparametric Models," University of California at San Diego, Economics Working Paper Series qt8dk0n386, Department of Economics, UC San Diego.
    16. Benoit Perron, 2003. "Semiparametric Weak-Instrument Regressions with an Application to the Risk-Return Tradeoff," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 424-443, May.
    17. John C. Chao & Norman R. Swanson, 2003. "Asymptotic Normality of Single-Equation Estimators for the Case with a Large Number of Weak Instruments," Departmental Working Papers 200312, Rutgers University, Department of Economics.
    18. Lütkepohl, Helmut & Milunovich, George & Yang, Minxian, 2020. "Inference in partially identified heteroskedastic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 218(2), pages 317-345.
    19. Sophocles Mavroeidis, 2004. "Weak Identification of Forward‐looking Models in Monetary Economics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 609-635, September.
    20. In Choi & Peter C.B. Phillips, 1997. "Regressions for Partially Identified, Cointegrated Simultaneous Equations," Cowles Foundation Discussion Papers 1162, Cowles Foundation for Research in Economics, Yale University.
    21. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    22. Fabio Canova & Luca Sala, 2005. "Back to square one: Identification issues in DSGE models," Economics Working Papers 927, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2006.
    23. D.S. Poskitt & C.L. Skeels, 2002. "Assessing Instrumental Variable Relevance:An Alternative Measure and Some Exact Finite Sample Theory," Department of Economics - Working Papers Series 862, The University of Melbourne.
    24. Doko Tchatoka, Firmin, 2012. "Testing for partial exogeneity with weak identification," Working Papers 14565, University of Tasmania, Tasmanian School of Business and Economics, revised 31 May 2012.
    25. Donald W. K. Andrews & Patrik Guggenberger, 2015. "Identification- and Singularity-Robust Inference for Moment Condition," Cowles Foundation Discussion Papers 1978R2, Cowles Foundation for Research in Economics, Yale University, revised Jan 2019.
    26. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2005. "Inflation Dynamics and the New Keynesian Phillips Curve: an Identification Robust Econometric Analysis," CIRANO Working Papers 2005s-30, CIRANO.
    27. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    28. Xu Cheng, 2014. "Uniform Inference in Nonlinear Models with Mixed Identification Strength," PIER Working Paper Archive 14-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    29. Andreas A. Andrikopoulos & Dimitrios C. Gkountanis, 2011. "Issues and Models in Applied Econometrics: A partial survey," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 9(2), pages 107-165.
    30. Giovanni Forchini, 2012. "Structural Equations and Invariance," School of Economics Discussion Papers 0312, School of Economics, University of Surrey.
    31. Richard Startz & Charles Nelson & Eric Zivot, 1999. "Improved Inference for the Instrumental Variable Estimator," Working Papers 0039, University of Washington, Department of Economics.
    32. D.S. Poskitt & C.L. Skeels, 2005. "Small Concentration Asymptotics and Instrumental Variables Inference," Department of Economics - Working Papers Series 948, The University of Melbourne.
    33. Forchini, Giovanni, 2009. "The asymptotic distribution of Nagar's bias-adjusted TSLS estimator under partial identification," Economics Letters, Elsevier, vol. 105(1), pages 49-52, October.
    34. Jean‐Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 767-808, November.
    35. John C. Chao & Peter C.B. Phillips, 1996. "Bayesian Posterior Distributions in Limited Information Analysis of the Simultaneous Equations Model Using the Jeffreys Prior," Cowles Foundation Discussion Papers 1137, Cowles Foundation for Research in Economics, Yale University.
    36. Kilian, Lutz & Inoue, Atsushi & Guerron-Quintana, Pablo A., 2009. "Frequentist Inference in Weakly Identified DSGE Models," CEPR Discussion Papers 7447, C.E.P.R. Discussion Papers.
    37. Fabio Canova, 2009. "Comment to "Weak instruments robust tests in GMM and the New Keynesian Phillips curve" by Frank Kleibergen and Sophocles Mavroeidis," Economics Working Papers 1159, Department of Economics and Business, Universitat Pompeu Fabra.
    38. James L. Powell, 2017. "Identification and Asymptotic Approximations: Three Examples of Progress in Econometric Theory," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 107-124, Spring.
    39. Don S. Poskitt, 2020. "On GMM Inference: Partial Identification, Identification Strength, and Non-Standard," Monash Econometrics and Business Statistics Working Papers 40/20, Monash University, Department of Econometrics and Business Statistics.
    40. Chao, John C. & Phillips, Peter C. B., 2002. "Jeffreys prior analysis of the simultaneous equations model in the case with n+1 endogenous variables," Journal of Econometrics, Elsevier, vol. 111(2), pages 251-283, December.
    41. Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
    42. Dufour, Jean-Marie, 2001. "Logique et tests d’hypothèses," L'Actualité Economique, Société Canadienne de Science Economique, vol. 77(2), pages 171-190, juin.
    43. Tchatoka, Firmin Doko, 2015. "Subset Hypotheses Testing And Instrument Exclusion In The Linear Iv Regression," Econometric Theory, Cambridge University Press, vol. 31(6), pages 1192-1228, December.
    44. 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.
    45. DUFOUR, Jean-Marie & TAAMOUTI, Mohamed, 2003. "Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments," Cahiers de recherche 08-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    46. Bertille Antoine & Eric Renault, 2012. "Efficient Inference with Poor Instruments: a General Framework," Discussion Papers dp12-04, Department of Economics, Simon Fraser University.
    47. Giovanni Forchini, 2006. "Tests for Over-identifying Restrictions in Partially Identified Linear Structural Equations," Monash Econometrics and Business Statistics Working Papers 20/06, Monash University, Department of Econometrics and Business Statistics.
    48. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
    49. Prosper Donovon & Alastair R. Hall, 2015. "GMM and Indirect Inference: An appraisal of their connections and new results on their properties under second order identification," Economics Discussion Paper Series 1505, Economics, The University of Manchester.
    50. Chao, J. C. & Phillips, P. C. B., 1998. "Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior," Journal of Econometrics, Elsevier, vol. 87(1), pages 49-86, August.
    51. D. S. Poskitt & C. L. Skeels, 2004. "Approximating the Distribution of the Instrumental Variables Estimator when the Concentration Parameter is Small," Monash Econometrics and Business Statistics Working Papers 19/04, Monash University, Department of Econometrics and Business Statistics.
    52. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.

Articles

  1. Choi, In & Lin, Rui & Shin, Yongcheol, 2023. "Canonical correlation-based model selection for the multilevel factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 22-44.
    See citations under working paper version above.
  2. In Choi & Sanghyun Jung, 2021. "Cross-sectional quasi-maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Empirical Economics, Springer, vol. 60(1), pages 177-203, January.
    See citations under working paper version above.
  3. Jae H. Kim & In Choi, 2021. "Choosing the Level of Significance: A Decision‐theoretic Approach," Abacus, Accounting Foundation, University of Sydney, vol. 57(1), pages 27-71, March.

    Cited by:

    1. Jae H. Kim, 2022. "Moving to a world beyond p-value," Review of Managerial Science, Springer, vol. 16(8), pages 2467-2493, November.
    2. Run-Ping Che & Mei-Chun Cheung, 2022. "Community-Dwelling Older Adults’ Intended Use of Different Types of Long-Term Care in China and Its Associated Factors Based on the Andersen Behavioral Model," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    3. Kim, Jae H. & Shamsuddin, Abul, 2023. "Stock market anomalies: An extreme bounds analysis," International Review of Financial Analysis, Elsevier, vol. 90(C).
    4. Mahiah Said & Ammar Azfar Azli & Shahnaz Shafiza Sabri, 2023. "Investigating the Factors Influencing Students’ Acceptance of Esports as a Career Choice," Information Management and Business Review, AMH International, vol. 15(2), pages 109-115.
    5. Jae H. Kim & Philip I. Ji, 2024. "Testing for signal-to-noise ratio in linear regression: a test under large or massive sample," Review of Managerial Science, Springer, vol. 18(10), pages 3007-3024, October.

  4. In Choi & Hanbat Jeong, 2019. "Model selection for factor analysis: Some new criteria and performance comparisons," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 577-596, July.
    See citations under working paper version above.
  5. In Choi, 2019. "Unit Root Tests for Dependent Micropanels," The Japanese Economic Review, Japanese Economic Association, vol. 70(2), pages 145-167, June.

    Cited by:

    1. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

  6. In Choi & Dukpa Kim & Yun Jung Kim & Noh‐Sun Kwark, 2018. "A multilevel factor model: Identification, asymptotic theory and applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 355-377, April.
    See citations under working paper version above.
  7. Jae H. Kim & In Choi, 2017. "Unit Roots in Economic and Financial Time Series: A Re-Evaluation at the Decision-Based Significance Levels," Econometrics, MDPI, vol. 5(3), pages 1-23, September.

    Cited by:

    1. Jae H. Kim, 2022. "Moving to a world beyond p-value," Review of Managerial Science, Springer, vol. 16(8), pages 2467-2493, November.
    2. Jae H. Kim & Kamran Ahmed & Philip Inyeob Ji, 2018. "Significance Testing in Accounting Research: A Critical Evaluation Based on Evidence," Abacus, Accounting Foundation, University of Sydney, vol. 54(4), pages 524-546, December.
    3. Jae H. Kim & Andrew P. Robinson, 2019. "Interval-Based Hypothesis Testing and Its Applications to Economics and Finance," Econometrics, MDPI, vol. 7(2), pages 1-22, May.
    4. Harkat, Tahar, 2020. "Causality between Energy Consumption and Economic Development: Empirical Evidence from Morocco," MPRA Paper 98313, University Library of Munich, Germany.
    5. Harkat, Tahar, 2020. "Nexus between Energy Consumption, Economic Development, and CO2 Emissions: Empirical Evidence from Morocco," MPRA Paper 98476, University Library of Munich, Germany.
    6. In Choi & Hanbat Jeong, 2020. "Differencing versus nondifferencing in factor‐based forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 728-750, September.
    7. Muhammad Ishaq Bhatti & Jae H. Kim, 2020. "Towards a New Paradigm for Statistical Evidence in the Use of p -Value," Econometrics, MDPI, vol. 9(1), pages 1-3, December.
    8. Michael P. Clements, 2020. "Are Some Forecasters’ Probability Assessments of Macro Variables Better Than Those of Others?," Econometrics, MDPI, vol. 8(2), pages 1-16, May.

  8. In Choi, 2013. "Spurious Fixed Effects Regression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 297-306, April.
    See citations under working paper version above.
  9. Choi, In, 2012. "Efficient Estimation Of Factor Models," Econometric Theory, Cambridge University Press, vol. 28(2), pages 274-308, April.
    See citations under working paper version above.
  10. Choi, In & Kurozumi, Eiji, 2012. "Model selection criteria for the leads-and-lags cointegrating regression," Journal of Econometrics, Elsevier, vol. 169(2), pages 224-238.
    See citations under working paper version above.
  11. Choi, In & Saikkonen, Pentti, 2010. "Tests For Nonlinear Cointegration," Econometric Theory, Cambridge University Press, vol. 26(3), pages 682-709, June.

    Cited by:

    1. Yicong Lin & Hanno Reuvers, 2019. "Efficient Estimation by Fully Modified GLS with an Application to the Environmental Kuznets Curve," Papers 1908.02552, arXiv.org, revised Aug 2020.
    2. Knorre, Fabian & Wagner, Martin & Grupe, Maximilian, 2020. "Monitoring Cointegrating Polynomial Regressions: Theory and Application to the Environmental Kuznets Curves for Carbon and Sulfur Dioxide Emissions," IHS Working Paper Series 27, Institute for Advanced Studies.
    3. Wang, Yajie & Yu, Huan & Zhang, Hongda & Chen, Tianyu, 2021. "Non-linear analysis of effects of energy consumption on economic growth in China: Role of real exchange rate," Economic Modelling, Elsevier, vol. 104(C).
    4. de Mello Luiz & Moccero Diego & Mogliani Matteo, 2013. "Do Latin American Central Bankers Behave Non-Linearly? The Experiences of Brazil, Chile, Colombia and Mexico," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 141-165, April.
    5. Astrid Kander & David I. Stern, 2013. "Economic Growth and the Transition from Traditional to Modern Energy in Sweden," CAMA Working Papers 2013-65, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Mikael Juselius & Moshe Kim, 2017. "Sustainable Financial Obligations and Crisis Cycles," Econometrics, MDPI, vol. 5(2), pages 1-23, June.
    7. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    8. Stern, David I. & Enflo, Kerstin, 2013. "Causality between energy and output in the long-run," Energy Economics, Elsevier, vol. 39(C), pages 135-146.
    9. Yicong Lin & Hanno Reuvers, 2020. "Cointegrating Polynomial Regressions with Power Law Trends: Environmental Kuznets Curve or Omitted Time Effects?," Papers 2009.02262, arXiv.org, revised Dec 2021.
    10. Suphi Sen & Bertrand Melenberg & Herman R. J. Vollebergh, 2016. "Identification and Estimation of the Environmental Kuznets Curve: Pairwise Differencing to Deal with Nonlinearity and Nonstationarity," CESifo Working Paper Series 5837, CESifo.
    11. Richard Green & Nicholas Vasilakos, 2012. "Storing Wind for a Rainy Day: What Kind of Electricity Does Denmark Export?," The Energy Journal, , vol. 33(3), pages 1-22, July.
    12. Sequeira, Tiago Neves & Gil, Pedro Mazeda & Afonso, Oscar, 2018. "Endogenous growth and entropy," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 100-120.
    13. Beenstock, Michael & Reingewertz, Yaniv & Paldor, Nathan, 2016. "Testing the historic tracking of climate models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1234-1246.
    14. Sephton, Peter & Mann, Janelle, 2013. "Further evidence of an Environmental Kuznets Curve in Spain," Energy Economics, Elsevier, vol. 36(C), pages 177-181.
    15. Gu, Jingping & Liang, Zhongwen, 2014. "Testing cointegration relationship in a semiparametric varying coefficient model," Journal of Econometrics, Elsevier, vol. 178(P1), pages 57-70.
    16. Auld, T., 2022. "Betting and financial markets are cointegrated on election night," Cambridge Working Papers in Economics 2263, Faculty of Economics, University of Cambridge.
    17. Chan, Nigel & Wang, Qiying, 2015. "Nonlinear regressions with nonstationary time series," Journal of Econometrics, Elsevier, vol. 185(1), pages 182-195.
    18. Martínez-Cañete, Ana R. & Márquez-de-la-Cruz, Elena & Pérez-Soba, Inés, 2022. "Non-linear cointegration between oil and stock prices: The role of interest rates," Research in International Business and Finance, Elsevier, vol. 59(C).
    19. Liew, Venus Khim-Sen & Ling, Tai-Hu & Chia, Ricky Chee-Jiun & Yoon, Gawon, 2012. "On the application of the rank tests for nonlinear cointegration to PPP: The case of Papua New Guinea," Economic Modelling, Elsevier, vol. 29(2), pages 326-332.
    20. Vanessa Berenguer-Rico & Bent Nielsen, 2015. "Cumulated sum of squares statistics for non-linear and non-stationary regressions," Economics Papers 2015-W09, Economics Group, Nuffield College, University of Oxford.
    21. Michael L. Polemis & Mike G. Tsionas, 2019. "Bayesian nonlinear panel cointegration: an empirical application to the EKC hypothesis," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 113-120, August.
    22. YABE, Ryota & 矢部, 竜太, 2014. "Empirical Likelihood Confidence Intervals for Nonparametric Nonlinear Nonstationary Regression Models," Discussion Papers 2014-20, Graduate School of Economics, Hitotsubashi University.
    23. David I. Stern and Astrid Kander, 2012. "The Role of Energy in the Industrial Revolution and Modern Economic Growth," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    24. Andrea Vaona, 2015. "Anomalous empirical evidence on money long-run super-neutrality and the vertical long-run Phillips curve," Working Papers 17/2015, University of Verona, Department of Economics.
    25. Jing Gao & Wen Xu & Lei Zhang, 2021. "Tourism, economic growth, and tourism-induced EKC hypothesis: evidence from the Mediterranean region," Empirical Economics, Springer, vol. 60(3), pages 1507-1529, March.
    26. Yicong Lin & Hanno Reuvers, 2022. "Fully Modified Estimation in Cointegrating Polynomial Regressions: Extensions and Monte Carlo Comparison," Tinbergen Institute Discussion Papers 22-093/III, Tinbergen Institute.
    27. Shota Moriwaki, 2017. "Sustainable Development in Four East Asian Countries' Agricultural Sectors Post-World War II: Measuring Nutrient Balance and Estimating the Environmental Kuznets Curve," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(3), pages 467-483, September.
    28. Haiqiang Chen, "undated". "Robust Estimation and Inference for Threshold Models with Integrated Regressors," Working Papers 2013-12-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    29. Emel Siklar & Ilyas Siklar, 2021. "Is There a Change in the Money Demand Stability in Turkey? A Nonlinear Approach," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 7(2), pages 28-42, 06-2021.
    30. Götz, Linde & Qiu, Feng & Gervais, Jean-Philippe & Glauben, Thomas, 2013. "Export Restrictions and Multiple Spatial Price Equilibria: Export Quotas for Wheat in Ukraine," 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 156135, German Association of Agricultural Economists (GEWISOLA).
    31. Angeliki Papana & Catherine Kyrtsou & Dimitris Kugiumtzis & Cees Diks, 2023. "Identification of causal relationships in non-stationary time series with an information measure: Evidence for simulated and financial data," Empirical Economics, Springer, vol. 64(3), pages 1399-1420, March.
    32. Hoffmann, Clemens & Kastens, Lina & vPortugal-Perez, Alberto & von Cramon-Taubadel, Stephan, 2024. "Trade policies and the transmission of international to domestic prices," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344313, International Association of Agricultural Economists (IAAE).
    33. Gotz, Linde & Qiu, Feng & Gervais, Jean-Philippe & Glauben, Thomas, 2012. "Export Restrictions And Multiple Spatial Price Equilibria When International Prices Spike: Export Quotas For Wheat In Ukraine," 2012: New Rules of Trade? December 2012, San Diego, California 143179, International Agricultural Trade Research Consortium.

  12. Choi, In & Park, Daekeun, 2008. "Causal relation between interest and exchange rates in the Asian currency crisis," Japan and the World Economy, Elsevier, vol. 20(3), pages 435-452, August.

    Cited by:

    1. Elena Pelinescu & Delia-Elena Diacona?u, 2015. "The Volatility of Romanian Exchange Rate: A GARCH Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 5, pages 92-99, November.
    2. Andrieș, Alin Marius & Ihnatov, Iulian & Tiwari, Aviral Kumar, 2014. "Analyzing time–frequency relationship between interest rate, stock price and exchange rate through continuous wavelet," Economic Modelling, Elsevier, vol. 41(C), pages 227-238.
    3. Andrieș, Alin Marius & Căpraru, Bogdan & Ihnatov, Iulian & Tiwari, Aviral Kumar, 2017. "The relationship between exchange rates and interest rates in a small open emerging economy: The case of Romania," Economic Modelling, Elsevier, vol. 67(C), pages 261-274.
    4. Saidia Jeelani & Joity Tomar & Tapas Das & Seshanwita Das, 2019. "Testing Structural Break in the Relationship Between Exchange Rate and Macroeconomic Variables," Vision, , vol. 23(4), pages 442-453, December.
    5. Huseyin Karamelikli & Mohammad Sharif Karimi, 2022. "Asymmetric relationship between interest rates and exchange rates: Evidence from Turkey," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1269-1279, January.
    6. Atoi, Ngozi Victor & Nwambeke, Chinedu G., 2021. "Money and Foreign Exchange Markets Dynamics in Nigeria: A Multivariate GARCH Approach," MPRA Paper 109305, University Library of Munich, Germany.

  13. Timothy K. Chue & In Choi, 2007. "Subsampling hypothesis tests for nonstationary panels with applications to exchange rates and stock prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 233-264.

    Cited by:

    1. Vincent Bodart & Bertrand Candelon & Jean - François Carpantier, 2011. "Real exchanges rates in commodity producing countries : A reappraisal," Working Papers hal-01821152, HAL.
    2. Chi-Wei Su & Tsangyao Chang & Yu-Shao Liu, 2012. "Revisiting purchasing power parity for African countries: with nonlinear panel unit-root tests," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3263-3273, September.
    3. Vincent Bodart & Bertrand Candelon & Jean-François Carpantier, 2015. "Real exchanges rates, commodity prices and structural factors in developing countries," Post-Print hal-01821129, HAL.
    4. Jian Xue & Zeeshan Rasool & Raima Nazar & Ahmad Imran Khan & Shaukat Hussain Bhatti & Sajid Ali, 2021. "Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    5. M. Hashem Pesaran & L. Vanessa Smith & Takashi Yamagata, 2008. "Panel Unit Root Tests in the Presence of a Multifactor Error Structure," CESifo Working Paper Series 2193, CESifo.
    6. Benoit Perron & Hyungsik Roger Moon, 2007. "An empirical analysis of nonstationarity in a panel of interest rates with factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 383-400.
    7. Cheng Hsiao, 2016. "Panel Macroeconometric Modeling," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    8. Lau, Marco Chi Keung & Fung, Ka Wai Terence, 2013. "Convergence in Health Care Expenditure of 14 EU Countries: New Evidence from Non-linear Panel Unit Root Test," MPRA Paper 52871, University Library of Munich, Germany.
    9. Palm, F.C. & Smeekes, S. & Urbain, J.R.Y.J., 2008. "Cross-sectional dependence robust block bootstrap panel unit root tests," Research Memorandum 048, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    10. Wang, Wencheng & Ning, Zinan & Shu, Yang & Riti, Joshua Sunday & Riti, Miriam-Kamah J., 2023. "Natural resource rents and public debts nexus in African resource-rich and most indebted nations: Issues with aggregation bias," Resources Policy, Elsevier, vol. 82(C).
    11. Berg, Arthur & McMurry, Timothy L. & Politis, Dimitris N., 2010. "Subsampling p-values," Statistics & Probability Letters, Elsevier, vol. 80(17-18), pages 1358-1364, September.
    12. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.
    13. Olalekan Bashir Aworinde, 2014. "Are Bilateral Real Exchange Rates Stationary? Empirical Evidence from Nigeria," Economics Bulletin, AccessEcon, vol. 34(1), pages 271-286.
    14. In Choi, 2019. "Unit Root Tests for Dependent Micropanels," The Japanese Economic Review, Japanese Economic Association, vol. 70(2), pages 145-167, June.
    15. Riti, Joshua Sunday & Shu, Yang & Riti, Miriam-Kamah J., 2022. "Geopolitical risk and environmental degradation in BRICS: Aggregation bias and policy inference," Energy Policy, Elsevier, vol. 166(C).
    16. Declan French, 2012. "Causation between health and income: a need to panic," Empirical Economics, Springer, vol. 42(2), pages 583-601, April.
    17. Kaddour Hadri & Eiji Kurozumi, 2009. "A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence," Economics Working Papers 09-01, Queen's Management School, Queen's University Belfast.
    18. Hsu-Ling Chang & Chi-Wei Su & Meng-Nan Zhu & Pei Liu, 2011. "Re-examining long-run purchasing power parity for Central and Eastern European countries: nonlinear panel unit root tests," Applied Economics Letters, Taylor & Francis Journals, vol. 18(5), pages 411-415.
    19. Chingnun Lee & Jyh-Lin Wu & Lixiong Yang, 2016. "A Simple Panel Unit-Root Test with Smooth Breaks in the Presence of a Multifactor Error Structure," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 365-393, June.
    20. Hadri, Kaddour & Kurozumi, Eiji, 2011. "A Locally Optimal Test for No Unit Root in Cross-sectionally Dependent Panel Data," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 52(2), pages 165-184, December.
    21. In Choi, 2012. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    22. Orlando Lorduy Herrera, 2015. "La paridad del poder adquisitivo: nueva evidencia para Colombia y Latinoamérica," Revista CIFE, Universidad Santo Tomás, February.
    23. Lan Cheng & Xuguang Simon Sheng, 2017. "Combination of “combinations of p values”," Empirical Economics, Springer, vol. 53(1), pages 329-350, August.
    24. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    25. Ji, Philip Inyeob, 2012. "Time-varying financial stress linkages: Evidence from the LIBOR-OIS spreads," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 647-657.
    26. Apergis, Nicholas & Lau, Marco Chi Keung, 2015. "Structural breaks and electricity prices: Further evidence on the role of climate policy uncertainties in the Australian electricity market," Energy Economics, Elsevier, vol. 52(PA), pages 176-182.
    27. Cunado, J. & Gil-Alana, L.A. & Gracia, Fernando Perez de, 2010. "Mean reversion in stock market prices: New evidence based on bull and bear markets," Research in International Business and Finance, Elsevier, vol. 24(2), pages 113-122, June.
    28. Oliveira, Luís & Curto, José Dias & Nunes, João Pedro, 2012. "The determinants of sovereign credit spread changes in the Euro-zone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 278-304.
    29. In Choi, 2014. "Unit root tests for dependent and heterogeneous micropanels," Working Papers 1404, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    30. Xuguang Sheng & Jingyun Yang, 2013. "Truncated Product Methods for Panel Unit Root Tests," Working Papers 2013-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    31. Lee, Chia-Hao & Chou, Pei-I, 2013. "The behavior of real exchange rate: Nonlinearity and breaks," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 125-133.
    32. Xu, Tao, 2018. "Investigating Environmental Kuznets Curve in China–Aggregation bias and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 315-322.
    33. Wu, Jyh-Lin & Lee, Hsiu-Yun, 2009. "A revisit to the non-linear mean reversion of real exchange rates: Evidence from a series-specific non-linear panel unit-root test," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 591-601, December.
    34. He, Huizhen & Chou, Ming Che & Chang, Tsangyao, 2014. "Purchasing power parity for 15 Latin American countries: Panel SURKSS test with a Fourier function," Economic Modelling, Elsevier, vol. 36(C), pages 37-43.
    35. E Bárcena-Martín & M Rodríguez-Fernández & S Borrego-Domínguez, 2017. "Golf, supply and demand," Tourism Economics, , vol. 23(6), pages 1220-1234, September.
    36. Kim, Jae H. & Ji, Philip Inyeob, 2011. "Mean-reversion in international real interest rates," Economic Modelling, Elsevier, vol. 28(4), pages 1959-1966, July.
    37. Chi Lau & Ka Fung & Lee Pugalis, 2014. "Is health care expenditure across Europe converging? Findings from the application of a nonlinear panel unit root test," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 137-156, December.

  14. Choi, In, 2005. "Subsampling vector autoregressive tests of linear constraints," Journal of Econometrics, Elsevier, vol. 124(1), pages 55-89, January.

    Cited by:

    1. Chen, Pu & Hsiao, Chih-Ying, 2008. "What happens to Japan if China catches a cold?: A causal analysis of Chinese growth and Japanese growth," Japan and the World Economy, Elsevier, vol. 20(4), pages 622-638, December.
    2. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Hybrid and Size-Corrected Subsample Methods," Cowles Foundation Discussion Papers 1606, Cowles Foundation for Research in Economics, Yale University.
    3. Berg, Arthur & McMurry, Timothy L. & Politis, Dimitris N., 2010. "Subsampling p-values," Statistics & Probability Letters, Elsevier, vol. 80(17-18), pages 1358-1364, September.
    4. Choi, In, 2005. "Inconsistency of bootstrap for nonstationary, vector autoregressive processes," Statistics & Probability Letters, Elsevier, vol. 75(1), pages 39-48, November.
    5. Judith A. Clarke & Mukesh Ralhan, 2005. "Direct and Indirect Causality Between Exports and Economic Output for Bangladesh and Sri Lanka: Horizon Matters," Econometrics Working Papers 0512, Department of Economics, University of Victoria.
    6. Mikihito Nishi, 2023. "Testing for Stationary or Persistent Coefficient Randomness in Predictive Regressions," Papers 2309.04926, arXiv.org, revised May 2024.

  15. Choi, In, 2005. "Inconsistency of bootstrap for nonstationary, vector autoregressive processes," Statistics & Probability Letters, Elsevier, vol. 75(1), pages 39-48, November.

    Cited by:

    1. Ibrahim Ayoade Adekunle & Sheriffdeen Adewale Tella & Oluwaseyi Adedayo Adelowokan, 2021. "Macroeconomic policy volatility and household consumption in Africa," SN Business & Economics, Springer, vol. 1(3), pages 1-22, March.
    2. Lieb, Lenard & Smeekes, Stephan, 2017. "Inference for Impulse Responses under Model Uncertainty," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).

  16. In Choi & Pentti Saikkonen, 2004. "Testing linearity in cointegrating smooth transition regressions," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 341-365, December.

    Cited by:

    1. M.C. Medeiros & E. Mendes & Les Oxley, 2010. "A Note on Nonlinear Cointegration, Misspecification and Bimodality," Working Papers in Economics 10/01, University of Canterbury, Department of Economics and Finance.
    2. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
    3. Alfred A. Haug & Syed A. Basher, 2007. "Linear or Nonlinear Cointegration in the Purchasing Power Parity Relationship?," Working Papers 0712, University of Otago, Department of Economics, revised Aug 2007.
    4. Mohamed EL HEDI AROURI & Philippe FOULQUIER & Julien FOUQUAU, 2011. "Oil Prices and Stock Markets in Europe: A Sector Perspective," Discussion Papers (REL - Recherches Economiques de Louvain) 2011011, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. Delatte, Anne-Laure & Fouguau, Julien & Holz, Carsten A., 2011. "Explaining money demand in China during the transition from a centrally planned to a market-based monetary system," BOFIT Discussion Papers 27/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
    6. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    7. Shahbaz, Muhammad & Shahzad, Syed Jawad Hussain & Alam, Shaista & Apergis, Nicholas, 2018. "Globalisation, Economic Growth and Energy Consumption in the BRICS Region: The Importance of Asymmetries," MPRA Paper 86979, University Library of Munich, Germany, revised 16 May 2018.
    8. Ibragimov, Rustam & Phillips, Peter C.B., 2008. "Regression asymptotics using martingale convergence methods," Scholarly Articles 2624459, Harvard University Department of Economics.
    9. Hwa-taek Lee & Venus khim-sen Liew & Gawon Yoon, 2013. "Is there a nonlinear long-run relation in the U.S. interest rate and inflation?," Economics Bulletin, AccessEcon, vol. 33(1), pages 104-112.
    10. de Mello Luiz & Moccero Diego & Mogliani Matteo, 2013. "Do Latin American Central Bankers Behave Non-Linearly? The Experiences of Brazil, Chile, Colombia and Mexico," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 141-165, April.
    11. Bond, Derek & Harrison, Michael J & O’Brien, Edward J., 2006. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Research Technical Papers 2/RT/06, Central Bank of Ireland.
    12. In Choi & Eiji Kurozumi, 2008. "Model Selection Criteria for the Leads-and-Lags Cointegrating Regression," Working Papers 0801, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Aug 2009.
    13. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2015. "Estimation And Inference For Varying-Coefficient Models With Nonstationary Regressors Using Penalized Splines," Econometric Theory, Cambridge University Press, vol. 31(4), pages 753-777, August.
    14. Daniel Ordonez Callamand & Luis Fernando Melo-Velandia & Daniel Parra-Amado, 2018. "Una exploración reciente a la demanda por dinero en Colombia bajo un enfoque no lineal," Revista de Economía del Rosario, Universidad del Rosario, vol. 21(1), pages 5-37, June.
    15. Dimitris K. Christopoulos & Miguel A. León-Ledesma, 2008. "Testing for Granger (non-)causality in a time-varying coefficient VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 293-303.
    16. Fousekis, Panos & Katrakilidis, Constantinos & Trachanas, Emmanouil, 2016. "Vertical price transmission in the US beef sector: Evidence from the nonlinear ARDL model," Economic Modelling, Elsevier, vol. 52(PB), pages 499-506.
    17. Mikael Juselius & Moshe Kim, 2017. "Sustainable Financial Obligations and Crisis Cycles," Econometrics, MDPI, vol. 5(2), pages 1-23, June.
    18. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    19. Jian Zhou, 2010. "Testing for Cointegration between House Prices and Economic Fundamentals," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(4), pages 599-632, Winter.
    20. Linde Götz & Feng Qiu & Jean-Philippe Gervais & Thomas Glauben, 2016. "Export Restrictions and Smooth Transition Cointegration: Export Quotas for Wheat in Ukraine," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 398-419, June.
    21. Li, Haiqi & Zheng, Chaowen & Guo, Yu, 2016. "Estimation and test for quantile nonlinear cointegrating regression," Economics Letters, Elsevier, vol. 148(C), pages 27-32.
    22. Lee, Chien-Chiang & Chen, Pei-Fen & Chang, Chun-Ping, 2007. "Testing linearity in a cointegrating STR model for the money demand function: International evidence from G-7 countries," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 76(4), pages 293-302.
    23. Divino, Jose Angelo & Maciel, Daniel T.G.N. & Sosa, Wilfredo, 2020. "Government size, composition of public spending and economic growth in Brazil," Economic Modelling, Elsevier, vol. 91(C), pages 155-166.
    24. Duc Hong Vo & Tan Ngoc Vu & Anh The Vo & Michael McAleer, 2019. "Modelling the relationship between crude oil and agricultural commodity prices," Documentos de Trabajo del ICAE 2019-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    25. Miller, Stephen M. & Martins, Luis Filipe & Gupta, Rangan, 2019. "A Time-Varying Approach Of The Us Welfare Cost Of Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 775-797, March.
    26. Sephton, Peter & Mann, Janelle, 2013. "Further evidence of an Environmental Kuznets Curve in Spain," Energy Economics, Elsevier, vol. 36(C), pages 177-181.
    27. Haug Alfred A & Beyer Andreas & Dewald William, 2011. "Structural Breaks and the Fisher Effect," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-31, May.
    28. Gawon Yoon, 2010. "Does nonlinearity help resolve the Fisher effect puzzle?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(8), pages 823-828.
    29. Jean-Philippe Gervais, 2011. "Disentangling nonlinearities in the long- and short-run price relationships: an application to the US hog/pork supply chain," Applied Economics, Taylor & Francis Journals, vol. 43(12), pages 1497-1510.
    30. Muhammad Ahad & Zaheer Anwer, 2021. "Asymmetric impact of oil price on trade balance in BRICS countries: Multiplier dynamic analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2177-2197, April.
    31. Dennis Kristensen & Anders Rahbek, 2007. "Likelihood-Based Inference in Nonlinear Error-Correction Models," CREATES Research Papers 2007-38, Department of Economics and Business Economics, Aarhus University.
    32. Mikael Juselius & Moshe Kim & Staffan Ringbom, 2015. "Do markup dynamics reflect fundamentals or changes in conduct?," Empirical Economics, Springer, vol. 48(3), pages 1119-1147, May.
    33. Martínez-Cañete, Ana R. & Márquez-de-la-Cruz, Elena & Pérez-Soba, Inés, 2022. "Non-linear cointegration between oil and stock prices: The role of interest rates," Research in International Business and Finance, Elsevier, vol. 59(C).
    34. Thomas Barnay & Olivier Damette, 2012. "What drives Health Care Expenditure in France since 1950? A time-series study with structural breaks and nonlinearity approaches," Working Papers halshs-00856117, HAL.
    35. Ojeda-Joya, Jair N. & Sarmiento, Gloria, 2018. "Sovereign risk and the real exchange rate: A non-linear approach," International Economics, Elsevier, vol. 156(C), pages 1-14.
    36. Barry E. Jones & Travis D. Nesmith, 2006. "Linear cointegration of nonlinear time series with an application to interest rate dynamics," Finance and Economics Discussion Series 2007-03, Board of Governors of the Federal Reserve System (U.S.).
    37. Chang, Chun-Ping & Lee, Chien-Chiang & Hsieh, Meng-Chi, 2015. "Does globalization promote real output? Evidence from quantile cointegration regression," Economic Modelling, Elsevier, vol. 44(C), pages 25-36.
    38. Pitarakis, Jean-Yves, 2006. "Threshold effects in cointegrating relationships," UC3M Working papers. Economics we20060621, Universidad Carlos III de Madrid. Departamento de Economía.
    39. Liew, Venus Khim-Sen & Ling, Tai-Hu & Chia, Ricky Chee-Jiun & Yoon, Gawon, 2012. "On the application of the rank tests for nonlinear cointegration to PPP: The case of Papua New Guinea," Economic Modelling, Elsevier, vol. 29(2), pages 326-332.
    40. Medeiros, Marcelo C & Magri, Rafael, 2013. "Nonlinear Error Correction Models With an Application to Commodity Prices," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(2), November.
    41. Cátia Sousa & Catarina Roseta‐Palma & Luís Filipe Martins, 2015. "Economic growth and transport: On the road to sustainability," Natural Resources Forum, Blackwell Publishing, vol. 39(1), pages 3-14, February.
    42. Michael L. Polemis & Mike G. Tsionas, 2019. "Bayesian nonlinear panel cointegration: an empirical application to the EKC hypothesis," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 113-120, August.
    43. Anne laure Delatte & Julien Fouquau, 2010. "Smooth transition in China: New evidence in the cointegrating money demand relationship," Economics Bulletin, AccessEcon, vol. 30(1), pages 265-273.
    44. Eskandar Elmarzougui & Bruno Larue, 2013. "On the Evolving Relationship Between Corn and Oil Prices," Agribusiness, John Wiley & Sons, Ltd., vol. 29(3), pages 344-360, June.
    45. Hasanli, Mübariz, 2024. "Re-examining crude oil and natural gas price relationship: Evidence from time-varying regime-switching models," Energy Economics, Elsevier, vol. 133(C).
    46. Li, Dao & He, Changli, 2012. "Testing for Linear Cointegration Against Smooth-Transition Cointegration," Working Papers 2012:6, Örebro University, School of Business.
    47. Emel Siklar & Ilyas Siklar, 2021. "Is There a Change in the Money Demand Stability in Turkey? A Nonlinear Approach," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 7(2), pages 28-42, 06-2021.
    48. Andrew Phiri & Lutho Mbekeni, 2021. "Fisher’s hypothesis, survey-based expectations and asymmetric adjustments: Empirical evidence from South Africa," International Economics and Economic Policy, Springer, vol. 18(4), pages 825-846, October.
    49. Maki, Daiki, 2012. "Tests for cointegration allowing for an unknown number of breaks," Economic Modelling, Elsevier, vol. 29(5), pages 2011-2015.
    50. Kristensen, Dennis & Rahbek, Anders, 2010. "Likelihood-based inference for cointegration with nonlinear error-correction," Journal of Econometrics, Elsevier, vol. 158(1), pages 78-94, September.
    51. Götz, Linde & Qiu, Feng & Gervais, Jean-Philippe & Glauben, Thomas, 2013. "Export Restrictions and Multiple Spatial Price Equilibria: Export Quotas for Wheat in Ukraine," 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 156135, German Association of Agricultural Economists (GEWISOLA).
    52. Rickard Sandberg, 2017. "Sample Moments and Weak Convergence to Multivariate Stochastic Power Integrals," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 1000-1009, November.
    53. Ayman Mnasri & Zouhair Mrabet & Mouyad Alsamara, 2023. "A new quadratic asymmetric error correction model: does size matter?," Empirical Economics, Springer, vol. 65(1), pages 33-64, July.
    54. Dimitris K. Christopoulos & Miguel A. Le√N-Ledesma, 2007. "A Long-Run Non-Linear Approach to the Fisher Effect," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 543-559, March.
    55. Alfred A. Haug & Julie Tam, 2007. "A Closer Look At Long‐Run U.S. Money Demand: Linear Or Nonlinear Error‐Correction With M0, M1, Or M2?," Economic Inquiry, Western Economic Association International, vol. 45(2), pages 363-376, April.
    56. Nakashima, Kiyotaka, 2008. "An Extremely Low Interest Rate Policy and the Shape of the Japanese Money Demand Function: A Nonlinear Cointegration Approach," MPRA Paper 70689, University Library of Munich, Germany.
    57. Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
    58. Nakashima, Kiyotaka & Saito, Makoto, 2012. "On the comparison of alternative specifications for money demand: The case of extremely low interest rate regimes in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 26(3), pages 454-471.
    59. Gerdie Everaert & Freddy Heylen & Ruben Schoonackers, 2014. "Fiscal policy and TFP in the OECD : Measuring direct and indirect effects," Working Paper Research 274, National Bank of Belgium.
    60. Haiqi Li Author-Name-First: Haiqi & Jing Zhang & Chaowen Zheng, 2023. "Estimating and Testing for Functional Coefficient Quantile Cointegrating Regression," Economics Discussion Papers em-dp2023-07, Department of Economics, University of Reading.
    61. Awokuse, Titus O. & Christopoulos, Dimitris K., 2009. "Nonlinear dynamics and the exports-output growth nexus," Economic Modelling, Elsevier, vol. 26(1), pages 184-190, January.
    62. Choudhry, Taufiq & Hassan, Syed S., 2015. "Exchange rate volatility and UK imports from developing countries: The effect of the global financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 89-101.
    63. Pitarakis, Jean-Yves, 2012. "Functional cointegration: definition and nonparametric estimation," MPRA Paper 38846, University Library of Munich, Germany.
    64. Delatte, Anne-Laure & Holz, Carsten, 2013. "Understanding Money Demand in the Transition from a Centrally Planned to a Market Economy," CEPR Discussion Papers 9721, C.E.P.R. Discussion Papers.
    65. Martins, Luis F. & Gabriel, Vasco J., 2014. "Modelling long run comovements in equity markets: A flexible approach," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 288-295.
    66. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
    67. Jose E. Gomez-Gonzalez & Santiago Gomez-Malagon & Luis F. Melo-Velandia & Daniel Ordoñez-Callamand, 2020. "A rank approach for studying cross-currency bases and the covered interest rate parity," Empirical Economics, Springer, vol. 59(1), pages 357-369, July.
    68. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2007. "Demand for Money: A Study in Testing Time Series for Long Memory and Nonlinearity," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 1-24.
    69. Yang, Zheng & Tian, Zheng & Yuan, Zixia, 2008. "Small sample improvements in the threshold cointegration test using residual-based moving block bootstrap," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(4), pages 507-513.
    70. Hatemi-J, Abdulnasser & Irandoust, Manuchehr, 2015. "Modelling Asymmetry in Oil, Gold and Stock Markets by a Hidden Cointegration Technique. - Modelli di asimmetria nel mercato del petrolio, dell’oro e nei mercati azionari attraverso una tecnica di coin," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 68(2), pages 213-228.
    71. Chew Lian Chua & Sarantis Tsiaplias, 2014. "A Bayesian Approach to Modelling Bivariate Time-Varying Cointegration and Cointegrating Rank," Melbourne Institute Working Paper Series wp2014n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    72. Gotz, Linde & Qiu, Feng & Gervais, Jean-Philippe & Glauben, Thomas, 2012. "Export Restrictions And Multiple Spatial Price Equilibria When International Prices Spike: Export Quotas For Wheat In Ukraine," 2012: New Rules of Trade? December 2012, San Diego, California 143179, International Agricultural Trade Research Consortium.

  17. Saikkonen, Pentti & Choi, In, 2004. "Cointegrating Smooth Transition Regressions," Econometric Theory, Cambridge University Press, vol. 20(2), pages 301-340, April.

    Cited by:

    1. M.C. Medeiros & E. Mendes & Les Oxley, 2010. "A Note on Nonlinear Cointegration, Misspecification and Bimodality," Working Papers in Economics 10/01, University of Canterbury, Department of Economics and Finance.
    2. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
    3. Christopher J. Neely & David E. Rapach, 2008. "Real interest rate persistence: evidence and implications," Review, Federal Reserve Bank of St. Louis, vol. 90(Nov), pages 609-642.
    4. Thomas Barnay & Olivier Damette, 2012. "What drives Health Care Expenditure in France since 1950?," Working Papers hal-00717435, HAL.
    5. Seung Hyun Hong & Peter C. B. Phillips, 2005. "Testing Linearity in Cointegrating Relations with an Application to Purchasing Power Parity," Cowles Foundation Discussion Papers 1541, Cowles Foundation for Research in Economics, Yale University.
    6. Delatte, Anne-Laure & Fouguau, Julien & Holz, Carsten A., 2011. "Explaining money demand in China during the transition from a centrally planned to a market-based monetary system," BOFIT Discussion Papers 27/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
    7. Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-60, Scottish Institute for Research in Economics (SIRE).
    8. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    9. Alvaro Escribano & M. Santos & Ana Sipols, 2008. "Testing for cointegration using induced-order statistics," Computational Statistics, Springer, vol. 23(1), pages 131-151, January.
    10. Shahbaz, Muhammad & Shahzad, Syed Jawad Hussain & Alam, Shaista & Apergis, Nicholas, 2018. "Globalisation, Economic Growth and Energy Consumption in the BRICS Region: The Importance of Asymmetries," MPRA Paper 86979, University Library of Munich, Germany, revised 16 May 2018.
    11. Ibragimov, Rustam & Phillips, Peter C.B., 2008. "Regression asymptotics using martingale convergence methods," Scholarly Articles 2624459, Harvard University Department of Economics.
    12. Hwa-taek Lee & Venus khim-sen Liew & Gawon Yoon, 2013. "Is there a nonlinear long-run relation in the U.S. interest rate and inflation?," Economics Bulletin, AccessEcon, vol. 33(1), pages 104-112.
    13. de Mello Luiz & Moccero Diego & Mogliani Matteo, 2013. "Do Latin American Central Bankers Behave Non-Linearly? The Experiences of Brazil, Chile, Colombia and Mexico," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 141-165, April.
    14. In Choi & Eiji Kurozumi, 2008. "Model Selection Criteria for the Leads-and-Lags Cointegrating Regression," Working Papers 0801, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Aug 2009.
    15. Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2015. "Estimation And Inference For Varying-Coefficient Models With Nonstationary Regressors Using Penalized Splines," Econometric Theory, Cambridge University Press, vol. 31(4), pages 753-777, August.
    16. Daniel Ordonez Callamand & Luis Fernando Melo-Velandia & Daniel Parra-Amado, 2018. "Una exploración reciente a la demanda por dinero en Colombia bajo un enfoque no lineal," Revista de Economía del Rosario, Universidad del Rosario, vol. 21(1), pages 5-37, June.
    17. Dimitris K. Christopoulos & Miguel A. León-Ledesma, 2008. "Testing for Granger (non-)causality in a time-varying coefficient VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 293-303.
    18. Fousekis, Panos & Katrakilidis, Constantinos & Trachanas, Emmanouil, 2016. "Vertical price transmission in the US beef sector: Evidence from the nonlinear ARDL model," Economic Modelling, Elsevier, vol. 52(PB), pages 499-506.
    19. Mikael Juselius & Moshe Kim, 2017. "Sustainable Financial Obligations and Crisis Cycles," Econometrics, MDPI, vol. 5(2), pages 1-23, June.
    20. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    21. Bruno Larue & Jean-Philippe Gervais & Yannick Rancourt, 2010. "Exchange rate pass-through, menu costs and threshold cointegration," Empirical Economics, Springer, vol. 38(1), pages 171-192, February.
    22. Jian Zhou, 2010. "Testing for Cointegration between House Prices and Economic Fundamentals," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(4), pages 599-632, Winter.
    23. Linde Götz & Feng Qiu & Jean-Philippe Gervais & Thomas Glauben, 2016. "Export Restrictions and Smooth Transition Cointegration: Export Quotas for Wheat in Ukraine," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 398-419, June.
    24. Li, Haiqi & Zheng, Chaowen & Guo, Yu, 2016. "Estimation and test for quantile nonlinear cointegrating regression," Economics Letters, Elsevier, vol. 148(C), pages 27-32.
    25. Lee, Chien-Chiang & Chen, Pei-Fen & Chang, Chun-Ping, 2007. "Testing linearity in a cointegrating STR model for the money demand function: International evidence from G-7 countries," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 76(4), pages 293-302.
    26. Divino, Jose Angelo & Maciel, Daniel T.G.N. & Sosa, Wilfredo, 2020. "Government size, composition of public spending and economic growth in Brazil," Economic Modelling, Elsevier, vol. 91(C), pages 155-166.
    27. Duc Hong Vo & Tan Ngoc Vu & Anh The Vo & Michael McAleer, 2019. "Modelling the relationship between crude oil and agricultural commodity prices," Documentos de Trabajo del ICAE 2019-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    28. Miller, Stephen M. & Martins, Luis Filipe & Gupta, Rangan, 2019. "A Time-Varying Approach Of The Us Welfare Cost Of Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 775-797, March.
    29. Seo Byeongseon, 2011. "Nonparametric Testing for Linearity in Cointegrated Error-Correction Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(2), pages 1-28, March.
    30. Sephton, Peter & Mann, Janelle, 2013. "Further evidence of an Environmental Kuznets Curve in Spain," Energy Economics, Elsevier, vol. 36(C), pages 177-181.
    31. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
    32. Gawon Yoon, 2010. "Does nonlinearity help resolve the Fisher effect puzzle?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(8), pages 823-828.
    33. Jean-Philippe Gervais, 2011. "Disentangling nonlinearities in the long- and short-run price relationships: an application to the US hog/pork supply chain," Applied Economics, Taylor & Francis Journals, vol. 43(12), pages 1497-1510.
    34. Muhammad Ahad & Zaheer Anwer, 2021. "Asymmetric impact of oil price on trade balance in BRICS countries: Multiplier dynamic analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2177-2197, April.
    35. Dennis Kristensen & Anders Rahbek, 2007. "Likelihood-Based Inference in Nonlinear Error-Correction Models," CREATES Research Papers 2007-38, Department of Economics and Business Economics, Aarhus University.
    36. Mikael Juselius & Moshe Kim & Staffan Ringbom, 2015. "Do markup dynamics reflect fundamentals or changes in conduct?," Empirical Economics, Springer, vol. 48(3), pages 1119-1147, May.
    37. Martínez-Cañete, Ana R. & Márquez-de-la-Cruz, Elena & Pérez-Soba, Inés, 2022. "Non-linear cointegration between oil and stock prices: The role of interest rates," Research in International Business and Finance, Elsevier, vol. 59(C).
    38. Thomas Barnay & Olivier Damette, 2012. "What drives Health Care Expenditure in France since 1950? A time-series study with structural breaks and nonlinearity approaches," Working Papers halshs-00856117, HAL.
    39. Ojeda-Joya, Jair N. & Sarmiento, Gloria, 2018. "Sovereign risk and the real exchange rate: A non-linear approach," International Economics, Elsevier, vol. 156(C), pages 1-14.
    40. Barry E. Jones & Travis D. Nesmith, 2006. "Linear cointegration of nonlinear time series with an application to interest rate dynamics," Finance and Economics Discussion Series 2007-03, Board of Governors of the Federal Reserve System (U.S.).
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    49. Hasanli, Mübariz, 2024. "Re-examining crude oil and natural gas price relationship: Evidence from time-varying regime-switching models," Energy Economics, Elsevier, vol. 133(C).
    50. Li, Dao & He, Changli, 2012. "Testing for Linear Cointegration Against Smooth-Transition Cointegration," Working Papers 2012:6, Örebro University, School of Business.
    51. Emel Siklar & Ilyas Siklar, 2021. "Is There a Change in the Money Demand Stability in Turkey? A Nonlinear Approach," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 7(2), pages 28-42, 06-2021.
    52. Andrew Phiri & Lutho Mbekeni, 2021. "Fisher’s hypothesis, survey-based expectations and asymmetric adjustments: Empirical evidence from South Africa," International Economics and Economic Policy, Springer, vol. 18(4), pages 825-846, October.
    53. Maki, Daiki, 2012. "Tests for cointegration allowing for an unknown number of breaks," Economic Modelling, Elsevier, vol. 29(5), pages 2011-2015.
    54. Kristensen, Dennis & Rahbek, Anders, 2010. "Likelihood-based inference for cointegration with nonlinear error-correction," Journal of Econometrics, Elsevier, vol. 158(1), pages 78-94, September.
    55. Götz, Linde & Qiu, Feng & Gervais, Jean-Philippe & Glauben, Thomas, 2013. "Export Restrictions and Multiple Spatial Price Equilibria: Export Quotas for Wheat in Ukraine," 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 156135, German Association of Agricultural Economists (GEWISOLA).
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    58. Nakashima, Kiyotaka, 2008. "An Extremely Low Interest Rate Policy and the Shape of the Japanese Money Demand Function: A Nonlinear Cointegration Approach," MPRA Paper 70689, University Library of Munich, Germany.
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    63. Haiqi Li Author-Name-First: Haiqi & Jing Zhang & Chaowen Zheng, 2023. "Estimating and Testing for Functional Coefficient Quantile Cointegrating Regression," Economics Discussion Papers em-dp2023-07, Department of Economics, University of Reading.
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  18. Choi, In, 2002. "Instrumental variables estimation of a nearly nonstationary, heterogeneous error component model," Journal of Econometrics, Elsevier, vol. 109(1), pages 1-32, July.

    Cited by:

    1. Holgersson, Thomas & Månsson, Kristofer & Shukur, Ghazi, 2013. "Testing for Panel Unit Roots under General Cross-Sectional Dependence," Working Paper Series in Economics and Institutions of Innovation 327, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Timothy K. Chue & In Choi, 2007. "Subsampling hypothesis tests for nonstationary panels with applications to exchange rates and stock prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 233-264.
    3. Fernando Arias & David Delgado & Daniel Parra & Hernán Rincón-Castro, 2016. "Gross Capital Flows and their long-term Determinants for Developing Economies: A Panel Co-integration Approach," Borradores de Economia 932, Banco de la Republica de Colombia.
    4. In Choi, 2012. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    5. Badi H. Baltagi & Chihwa Kao & Long Liu, 2007. "Asymptotic Properties of Estimators for the Linear Panel Regression Model with Individual Effects and Serially Correlated Errors: The Case of Stationary and Non-Stationary Regressors and Residuals," Center for Policy Research Working Papers 93, Center for Policy Research, Maxwell School, Syracuse University.

  19. Choi, In, 2002. "Structural Changes And Seemingly Unidentified Structural Equations," Econometric Theory, Cambridge University Press, vol. 18(3), pages 744-775, June.

    Cited by:

    1. Ajit Pratap Singh & Makrand Wagale & Kunal Dhadse & Anjaney Singh, 2022. "Socioeconomic impacts of low-volume roads using a GIS-based multidimensional impact assessment approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6676-6701, May.
    2. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, frictions, or monetary policy?," FRB Atlanta Working Paper 2009-03, Federal Reserve Bank of Atlanta.

  20. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.

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    1. Uberti, Luca J., 2022. "Corruption and growth: Historical evidence, 1790–2010," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 321-349.
    2. Beirne, John & Renzhi, Nuobu & Volz, Ulrich, 2021. "Local Currency Bond Markets, Foreign Investor Participation, and Capital Flow Volatility in Emerging Asia," ADBI Working Papers 1252, Asian Development Bank Institute.
    3. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    4. Christian Dreger & Hans-Eggert Reimers, 2006. "Hysteresis and Persistence in the Course of Unemployment: The EU and US Experience," Discussion Papers of DIW Berlin 572, DIW Berlin, German Institute for Economic Research.
    5. Simplice A. Asongu & Nicholas M. Odhiambo, 2021. "Governance and renewable energy consumption in sub-Saharan Africa," Research Africa Network Working Papers 21/030, Research Africa Network (RAN).
    6. Wei, Honghong & Lahiri, Radhika, 2022. "Urbanization, energy-use intensity and emissions: A sectoral approach," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 667-684.
    7. Bilgehan Tekin, 2021. "The Factors Affecting the Market Value/Book Value and Profitability of REITs in Turkey," International Real Estate Review, Global Social Science Institute, vol. 24(3), pages 469-499.
    8. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "The Mobile Phone, Information Sharing and Financial Sector Development in Africa: A Quantile Regressions Approach," CEREDEC Working Papers 19/016, Centre de Recherche pour le Développement Economique (CEREDEC).
    9. Litsios, Ioannis & Pilbeam, Keith, 2017. "An empirical analysis of the nexus between investment, fiscal balances and current account balances in Greece, Portugal and Spain," Economic Modelling, Elsevier, vol. 63(C), pages 143-152.
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    39. Combey, Adama, 2016. "The Main Determinants of Private Investment in The WAEMU Zone: The Dynamic Approach," MPRA Paper 75428, University Library of Munich, Germany.
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    43. Emrah KOÇAK & Nısfet UZAY, 2018. "Democracy, Economic Freedoms and Economic Growth: An Investigation on the Role of Institutions," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(36).
    44. Chimere O. Iheonu & Ogochukwu C. Anyanwu & Obinna K. Odo & Solomon Prince Nathaniel, 2021. "Does Economic Growth, International Trade and Urbanization uphold Environmental Sustainability in sub-Saharan Africa? Insights from Quantile and Causality Procedures," Working Papers of the African Governance and Development Institute. 21/003, African Governance and Development Institute..
    45. Panagiotis Nikolaos Fotis & Victoria Pekka, 2017. "The effect of renewable energy use and economic growth on pollution in the EUROZONE," Economics and Business Letters, Oviedo University Press, vol. 6(3), pages 88-99.
    46. Gadea Rivas, María Dolores, 2017. "Trends in distributional characteristics : Existence of global warming," UC3M Working papers. Economics 24121, Universidad Carlos III de Madrid. Departamento de Economía.
    47. Ehrhart Christophe & Matthieu Llorca, 2017. "Fiscal Sustainability in Central and Latin America Countries: Evidence from a Panel Cointegration Approach," Economics Bulletin, AccessEcon, vol. 37(4), pages 2292-2300.
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    49. Lee, Chien-Chiang & Yuan, Zihao & Ho, Shan-Ju, 2022. "How does export diversification affect income inequality? International evidence," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 410-421.
    50. Al-Zoubi, Haitham A., 2008. "The long swings in the spot exchange rates and the complex unit roots hypothesis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 236-244, July.
    51. Menegaki, Angeliki N. & Marques, António Cardoso & Fuinhas, José Alberto, 2017. "Redefining the energy-growth nexus with an index for sustainable economic welfare in Europe," Energy, Elsevier, vol. 141(C), pages 1254-1268.
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    55. Wu, Jyh-Lin & Tsai, Li-Ju & Chen, Show-Lin, 2004. "Are real exchange rates non-stationary? The Pacific Basin perspective," Journal of Asian Economics, Elsevier, vol. 15(2), pages 425-438, April.
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    57. Rui Dias & Nuno Teixeira & Paulo Alexandre & Mariana Chambino, 2023. "Exploring the Connection between Clean and Dirty Energy: Implications for the Transition to a Carbon-Resilient Economy," Energies, MDPI, vol. 16(13), pages 1-21, June.
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    1. Benjamin Miranda Tabak, 2002. "The Random Walk Hypothesis and the Behavior of Foreign Capital Portfolio Flows: the Brazilian Stock Market Case," Working Papers Series 58, Central Bank of Brazil, Research Department.
    2. Graham Smith & Aneta Dyakova, 2014. "African Stock Markets: Efficiency and Relative Predictability," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 258-275, June.
    3. Ozkan, Oktay, 2021. "Impact of COVID-19 on stock market efficiency: Evidence from developed countries," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Amélie Charles & Olivier Darné & Jessica Fouilloux, 2010. "Testing the Martingale Difference Hypothesis in the EU ETS Markets for the CO2 Emission Allowances: Evidence from Phase I and Phase II," Post-Print hal-00797491, HAL.
    5. Charles, Amélie & Darné, Olivier & Kim, Jae H., 2011. "Small sample properties of alternative tests for martingale difference hypothesis," Economics Letters, Elsevier, vol. 110(2), pages 151-154, February.
    6. Kim, Jae H. & Shamsuddin, Abul & Lim, Kian-Ping, 2011. "Stock return predictability and the adaptive markets hypothesis: Evidence from century-long U.S. data," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 868-879.
    7. Omid Sabbaghi & Navid Sabbaghi, 2017. "The Chicago Climate Exchange and market efficiency: an empirical analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 711-734, October.
    8. Bonnier, Jean-Baptiste, 2021. "Speculation and informational efficiency in commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 117(C).
    9. Nadarajah, Saralees & Chu, Jeffrey, 2017. "On the inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 150(C), pages 6-9.
    10. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2011. "Testing the martingale difference hypothesis in CO2 emission allowances," Economic Modelling, Elsevier, vol. 28(1-2), pages 27-35, January.
    11. Andrew Phiri, 2022. "Changing efficiency of BRICS currency markets during the COVID-19 pandemic," Economic Change and Restructuring, Springer, vol. 55(3), pages 1673-1699, August.
    12. Amélie Charles & Olivier Darné & Jae H Kim, 2017. "Adaptive Markets Hypothesis for Islamic Stock Portfolios: Evidence from Dow Jones Size and Sector-Indices," Post-Print hal-01526483, HAL.
    13. Amélie Charles & Olivier Darné & Jae H. Kim, 2010. "Exchange-Rate Return Predictability and the Adaptive Markets Hypothesis: Evidence from Major Foreign Exchange Rates," Working Papers hal-00547722, HAL.
    14. Rahman, Md. Lutfur & Lee, Doowon & Shamsuddin, Abul, 2017. "Time-varying return predictability in South Asian equity markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 179-200.
    15. Noda, Akihiko, 2016. "A test of the adaptive market hypothesis using a time-varying AR model in Japan," Finance Research Letters, Elsevier, vol. 17(C), pages 66-71.
    16. Jacek Karasinski, 2022. "The Impact of the COVID-19 Outbreak on the Weak-Form Informational Efficiency of the Warsaw Stock Exchange (Wplyw wybuchu epidemii COVID-19 na efektywnosc informacyjna Gieldy Papierow Wartosciowych w ," Research Reports, University of Warsaw, Faculty of Management, vol. 2(37), pages 15-28.
    17. Regis Augusto Ely, 2011. "Returns Predictability and Stock Market Efficiency in Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(4), pages 571-584.
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    32. Md Lutfur Rahman & Mahbub Khan & Samuel A. Vigne & Gazi Salah Uddin, 2021. "Equity return predictability, its determinants, and profitable trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 162-186, January.
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    38. Dzung Phan Tran Trung & Hung Pham Quang, 2019. "Adaptive Market Hypothesis: Evidence from the Vietnamese Stock Market," JRFM, MDPI, vol. 12(2), pages 1-16, May.
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    40. Carmen López-Martín & Sonia Benito Muela & Raquel Arguedas, 2021. "Efficiency in cryptocurrency markets: new evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 403-431, September.
    41. Zdeněk Hlávka & Marie Hušková & Claudia Kirch & Simos G. Meintanis, 2017. "Fourier--type tests involving martingale difference processes," Econometric Reviews, Taylor & Francis Journals, vol. 36(4), pages 468-492, April.
    42. Kenichi Hirayama & Akihiko Noda, 2019. "Measuring the Time-Varying Market Efficiency in the Prewar and Wartime Japanese Stock Market, 1924-1943," Papers 1911.04059, arXiv.org, revised May 2024.
    43. Kim, Jae H., 2009. "Automatic variance ratio test under conditional heteroskedasticity," Finance Research Letters, Elsevier, vol. 6(3), pages 179-185, September.
    44. Bohl, Martin T. & Irwin, Scott H. & Pütz, Alexander & Sulewski, Christoph, 2023. "The impact of financialization on the efficiency of commodity futures markets," Journal of Commodity Markets, Elsevier, vol. 31(C).
    45. Linton, Oliver & Smetanina, Ekaterina, 2016. "Testing the martingale hypothesis for gross returns," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 664-689.
    46. Amélie Charles & Olivier Darné & Jae H. Kim, 2015. "Will precious metals shine ? A market efficiency perspective," Post-Print hal-01238706, HAL.
    47. Kim, Jae & Doucouliagos, Hristos & Stanley, T. D., 2014. "Market efficiency in Asian and Australasian stock markets: a fresh look at the evidence," Working Papers eco_2014_9, Deakin University, Department of Economics.
    48. Lim, Kian-Ping & Kim, Jae H., 2011. "Trade openness and the informational efficiency of emerging stock markets," Economic Modelling, Elsevier, vol. 28(5), pages 2228-2238, September.
    49. Juan Benjamín Duarte Duarte & Katherine Julieth Sierra Suárez & Víctor Alfonso Rueda Ortiz, 2015. "Análisis comparativo de eficiencia entre Brasil, México y Estados Unidos," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 7(2), pages 341-357, July.
    50. Amélie Charles & Olivier Darné & Jae H. Kim, 2014. "Precious metals shine? A market efficiency perspective," Working Papers hal-01010516, HAL.
    51. O'Connor, Fergal A. & Lucey, Brian M., 2023. "The efficiency of the London Gold Fixing: From Gold Standard to hoarded commodity (1919-68)," eabh Papers 23-01, The European Association for Banking and Financial History (EABH).
    52. Brauneis, Alexander & Mestel, Roland, 2018. "Price discovery of cryptocurrencies: Bitcoin and beyond," Economics Letters, Elsevier, vol. 165(C), pages 58-61.
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    54. Biswabhusan Bhuyan & Subhamitra Patra & Ranjan Kumar Bhuian, 2020. "Market Adaptability and Evolving Predictability of Stock Returns: An Evidence from India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 605-619, December.
    55. Junshu Jiang & Jordan Richards & Raphael Huser & David Bolin, 2024. "The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency," Papers 2408.06661, arXiv.org.
    56. Xuexin WANG, 2021. "Generalized Spectral Tests for High Dimensional Multivariate Martingale Difference Hypotheses," Working Papers 2021-11-06, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    57. Sashikanta Khuntia & J. K. Pattanayak, 2020. "Evolving Efficiency of Exchange Rate Movement: An Evidence from Indian Foreign Exchange Market," Global Business Review, International Management Institute, vol. 21(4), pages 956-969, August.
    58. Siva Kiran & Prabhakar Rao.R, 2019. "Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(72), pages 60-77, June.
    59. Dobija, Dorota & Klimczak, Karol Marek, 2010. "Development of accounting in Poland: Market efficiency and the value relevance of reported earnings," The International Journal of Accounting, Elsevier, vol. 45(3), pages 356-374, September.
    60. Amairi, Haifa & Zantour, Ahlem & Saadi, Samir, 2021. "Information dissemination and price discovery," Finance Research Letters, Elsevier, vol. 38(C).
    61. Jain, Pawan & Xue, Wenjun, 2017. "Global investigation of return autocorrelation and its determinants," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 200-217.
    62. Graham Smith, 2012. "The changing and relative efficiency of European emerging stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 18(8), pages 689-708, September.
    63. Graham Smith & Aneta Dyakova, 2016. "The Relative Predictability of Stock Markets in the Americas," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 131-142, April.
    64. Flori, Andrea, 2019. "News and subjective beliefs: A Bayesian approach to Bitcoin investments," Research in International Business and Finance, Elsevier, vol. 50(C), pages 336-356.
    65. Bohl, Martin T. & Pütz, Alexander & Sulewski, Christoph, 2021. "Speculation and the informational efficiency of commodity futures markets," Journal of Commodity Markets, Elsevier, vol. 23(C).
    66. Walid Mensi & Anoop S. Kumar & Xuan Vinh Vo & Sang Hoon Kang, 2024. "Asymmetric multifractality and dynamic efficiency in DeFi markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(2), pages 280-297, June.
    67. Neil Kellard & Denise Osborn & Jerry Coakley & John C. Nankervis & Periklis Kougoulis & Jerry Coakley, 2015. "Generalized Variance-Ratio Tests in the Presence of Statistical Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 687-705, September.
    68. Martin Bohl & Alexander Pütz & Christoph Sulewski, 2019. "Speculation and the Informational Efficiency of Commodity Futures Markets," CQE Working Papers 8919, Center for Quantitative Economics (CQE), University of Muenster.
    69. Navaz Naghavi & Wee-Yeap Lau, 2014. "Exploring the nexus between financial openness and informational efficiency -- does the quality of institution matter?," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 674-685, March.
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    Cited by:

    1. Morten Orregaard Nielsen, 2004. "Efficient inference in multivariate fractionally integrated time series models," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 63-97, June.
    2. Yin-Wong Cheung & Antonio I. Garcia Pascual, 2000. "Testing for Output Convergence: A Re-Examination," CESifo Working Paper Series 319, CESifo.
    3. Utpal Kumar De, 2014. "Globalisation and cointegration among the states and convergence across the continents: A panel data analysis," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 107-121.
    4. Arvid Raknerud & Bjørn Helge Vatne & Ketil Rakkestad, 2011. "How do banks' funding costs affect interest margins?," Discussion Papers 665, Statistics Norway, Research Department.
    5. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    6. Morten Ørregaard Nielsen, 2005. "Multivariate Lagrange Multiplier Tests for Fractional Integration," Journal of Financial Econometrics, Oxford University Press, vol. 3(3), pages 372-398.
    7. Jen-Je Su, 2003. "On the power of the multivariate KPSS test of stationarity against fractionally integrated alternatives," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 637-641.
    8. Jumah, Adusei & Kunst, Robert M., 2002. "On Mean Reversion in Real Interest Rates: An Application of Threshold Cointegtation," Economics Series 109, Institute for Advanced Studies.
    9. Nannette Lindenberg & Frank Westermann, 2009. "Common Trends and Common Cycles among Interest Rates of the G7-Countries," IEER Working Papers 77, Institute of Empirical Economic Research, Osnabrueck University.
    10. Costantini, Mauro & Lupi, Claudio, 2007. "An analysis of inflation and interest rates. New panel unit root results in the presence of structural breaks," Economics Letters, Elsevier, vol. 95(3), pages 408-414, June.
    11. María Presno & Anna López, 2003. "Testing for stationarity in series with a shift in the mean. A fredholm approach," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 195-213, June.

  23. Choi, In & Park, Joon Y. & Yu, Byungchul, 1997. "Canonical Cointegrating Regression and Testing for Cointegration in the Presence of I(1) and I(2) Variables," Econometric Theory, Cambridge University Press, vol. 13(6), pages 850-876, December.

    Cited by:

    1. Haldrup, Niels Prof. & Lildholdt, Peter, 2000. "On the Robustness of Unit Root Tests in the Presence of Double Unit Roots," University of California at San Diego, Economics Working Paper Series qt2k0780sh, Department of Economics, UC San Diego.
    2. Niels Haldrup & Peter Lildholdt, "undated". "Local Power Functions of Tests for Double Unit Roots," Economics Working Papers 2000-2, Department of Economics and Business Economics, Aarhus University.
    3. Taha Zaghdoudi, 2018. "Asymmetric responses of CO2 emissions to oil price shocks in China: a non-linear ARDL approach," Economics Bulletin, AccessEcon, vol. 38(3), pages 1485-1493.
    4. Qunyong Wang & Na Wu, 2012. "Long-run covariance and its applications in cointegration regression," Stata Journal, StataCorp LP, vol. 12(3), pages 525-542, September.
    5. Oluwatobi Joshua OLOFIN & Adeleke Gabriel AREMO (Ph.D) & Olabode Philp OLOFIN (Ph.D) & Oluwafemi Olawale OKUNADE, 2023. "Neighborhood Effect, Agricultural Development and Poverty Level in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(5), pages 705-726, May.
    6. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.

  24. Choi, In & Mark, Nelson C, 1997. "Frequency Domain Tests for Residual Serial Correlation in Cointegration Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 549-562, November.

    Cited by:

    1. In Choi, 1999. "Testing the random walk hypothesis for real exchange rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 293-308, May.

  25. Choi, In & Ahn, Byung Chul, 1995. "Testing for Cointegration in a System of Equations," Econometric Theory, Cambridge University Press, vol. 11(5), pages 952-983, October.

    Cited by:

    1. Alan Bartley, William & Lee, Junsoo & Strazicich, Mark C., 2001. "Testing the null of cointegration in the presence of a structural break," Economics Letters, Elsevier, vol. 73(3), pages 315-323, December.
    2. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," PSE Working Papers halshs-00564897, HAL.
    3. Won-Ki Seo, 2020. "Functional Principal Component Analysis for Cointegrated Functional Time Series," Papers 2011.12781, arXiv.org, revised Apr 2023.
    4. Jansson, Michael, 2005. "Point optimal tests of the null hypothesis of cointegration," Journal of Econometrics, Elsevier, vol. 124(1), pages 187-201, January.
    5. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    6. Chun-Yu Ho & Kam Wing Siu, 2006. "A Dynamic Equilibrium of Electricity Consumption and GDP in Hong Kong: An Empirical Investigation," Boston University - Department of Economics - Working Papers Series WP2006-049, Boston University - Department of Economics.
    7. Josep Lluís Carrion-i-Silvestre & Andreu Sansó, 2005. "The KPSS Test with Two Structural Breaks," DEA Working Papers 13, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    8. Jansson, Michael, 2004. "Stationarity Testing With Covariates," Econometric Theory, Cambridge University Press, vol. 20(1), pages 56-94, February.
    9. Dilip M. Nachane, 2011. "Selected Problems in the Analysis of Nonstationary & Nonlinear Time Series," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 1-17.
    10. Javier Gómez Biscarri & Javier Hualde, 2014. "Regression-based analysis of cointegration systems," Working Papers 780, Barcelona School of Economics.
    11. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    12. In Choi & Hanbat Jeong, 2020. "Differencing versus nondifferencing in factor‐based forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 728-750, September.
    13. Choi, In & Chul Ahn, Byung, 1998. "Testing the null of stationarity for multiple time series," Journal of Econometrics, Elsevier, vol. 88(1), pages 41-77, November.
    14. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.
    15. Josep Carrion-i-Silvestre & Andreu Sansó, 2006. "A guide to the computation of stationarity tests," Empirical Economics, Springer, vol. 31(2), pages 433-448, June.
    16. Alper Kara & Dilem Yildirim & G. Ipek Tunc, 2023. "Market efficiency in non-renewable resource markets: evidence from stationarity tests with structural changes," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 279-290, June.
    17. Alper Kara & Dilem Yıldırım & Gül İpek Tunç, 2021. "Market Efficiency In Non-Renewable Resource Markets: Evidence From Stationarity Tests With Structural Changes," ERC Working Papers 2103, ERC - Economic Research Center, Middle East Technical University, revised Apr 2021.
    18. Javier Fernandez-Macho, 2013. "A Test for the Null of Multiple Cointegrating Vectors," Economics Series Working Papers 657, University of Oxford, Department of Economics.

  26. In Choi & Bhum Suk Chung, 1995. "Sampling frequency and the power of tests for a unit root: A simulation study," Economics Letters, Elsevier, vol. 49(2), pages 131-136, August.

    Cited by:

    1. Gutierrez, Luciano, 2009. "Sampling at different frequencies, and the power of panel unit root tests," Economics Letters, Elsevier, vol. 102(1), pages 59-61, January.
    2. Shuyang Chen, 2021. "The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China," Sustainability, MDPI, vol. 13(12), pages 1-11, June.
    3. Reinhard Neck & Friedrich Schneider, 2024. "The popularity function: a spurious regression? The case of Austria," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(1), pages 298-329, February.
    4. Maria Nikoloudaki & Dikaios Tserkezos, 2008. "Temporal Aggregation Effects in Choosing the Optimal Lag Order in Stable ARMA Models: Some Monte Carlo Results," Working Papers 0822, University of Crete, Department of Economics.
    5. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    6. Souza, Leonardo R. & Smith, Jeremy, 2002. "Bias in the memory parameter for different sampling rates," International Journal of Forecasting, Elsevier, vol. 18(2), pages 299-313.
    7. Hans-Joachim Voth & Dan H. Andersen, 1997. "Neutrality and Mediterranean Shipping Under Danish Flag, 1750-1807," Oxford Economic and Social History Working Papers _018, University of Oxford, Department of Economics.
    8. Magnus Gustavsson & Pär Österholm, 2007. "Does Unemployment Hysteresis Equal Employment Hysteresis?," The Economic Record, The Economic Society of Australia, vol. 83(261), pages 159-173, June.
    9. Biru Paksha Paul, 2013. "Inflation--growth nexus: some bivariate EGARCH evidence for Bangladesh," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 6(1), pages 66-76, March.
    10. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Does data frequency matter for the impact of forward premium on spot exchange rate?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 45-53.
    11. Taipalus, Katja, 2012. "Detecting asset price bubbles with time-series methods," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2012_047, July.
    12. Thomas Gries & Manfred Kraft & Daniel Meierrieks, 2008. "Financial Deepening, Trade Openness and Economic Growth in Latin America and the Caribbean," Working Papers CIE 17, Paderborn University, CIE Center for International Economics.
    13. Thomas Gries & Manfred Kraft & Daniel Meierrieks, 2008. "Linkages between Financial Deepening,Trade Openness and Economic Development: Causality Evidence from Sub-Saharan Africa," Working Papers CIE 15, Paderborn University, CIE Center for International Economics.
    14. Tilak Abeysinghe & Gulasekaran Rajaguru, 2004. "Temporal aggregation, causality distortions and a sign rule," Econometric Society 2004 Australasian Meetings 73, Econometric Society.
    15. Jiranyakul, Komain, 2014. "Temporal causal relationship between stock market capitalization, trade openness and real GDP: evidence from Thailand," MPRA Paper 59652, University Library of Munich, Germany.
    16. Voth, Hans-Joachim, 2002. "With a Bang, Not a Whimper: Pricking Germany's 'Stock Market Bubble' in 1927 and the Slide into Depression," CEPR Discussion Papers 3257, C.E.P.R. Discussion Papers.
    17. Yin, Tong & De Propris, Lisa & Jabbour, Liza, 2021. "Assessing the effects of policies on China’s outward foreign direct investment," International Business Review, Elsevier, vol. 30(5).
    18. Simplice A, Asongu, 2012. "Linkages between investment flows and financial development: causality evidence from selected African countries," MPRA Paper 38719, University Library of Munich, Germany.
    19. Otero, Jesus & Smith, Jeremy, 2000. "Testing for cointegration: power versus frequency of observation -- further Monte Carlo results," Economics Letters, Elsevier, vol. 67(1), pages 5-9, April.
    20. Biru Paksha Paul & Hassan Zaman, 2013. "When and Why does Bangladesh’s Inflation Differ from India’s?," Working Papers id:5599, eSocialSciences.
    21. Biru Paksha Paul, 2013. "Output Relationships in South Asia: Are Bangladesh and India Different from Neighbours?," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 14(1), pages 35-57, March.
    22. Jiranyakul, Komain, 2014. "Capital Formation in Thailand: Its Importance and Determinants," MPRA Paper 58442, University Library of Munich, Germany.
    23. Jiranyakul, Komain, 2014. "Temporal causal relationship between stock market capitalization, trade openness and real GDP: evidence from Thailand," MPRA Paper 60623, University Library of Munich, Germany.
    24. Paul, Biru Paksha & Uddin, Gazi Salah, 2011. "Energy and output dynamics in Bangladesh," Energy Economics, Elsevier, vol. 33(3), pages 480-487, May.
    25. Xuedong Wu & Jeffrey H. Dorfman & Berna Karali, 2018. "The impact of data frequency on market efficiency tests of commodity futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 696-714, June.
    26. Taipalus, Katja, 2012. "Signaling asset price bubbles with time-series methods," Bank of Finland Research Discussion Papers 7/2012, Bank of Finland.
    27. Gabriel Pons Rotger, 2000. "Temporal Aggregation and Ordinary Least Squares Estimation of Cointegrating Regressions," Econometric Society World Congress 2000 Contributed Papers 1317, Econometric Society.
    28. Gulasekaran Rajaguru & Reza Siregar, 2002. "Sources of Variations Between The Inflation Rates of Korea, Thailand and Indonesia During The Post-1997 Crisis," Centre for International Economic Studies Working Papers 2002-29, University of Adelaide, Centre for International Economic Studies.
    29. Fei, Rilong & Lin, Boqiang, 2017. "Estimates of energy demand and energy saving potential in China's agricultural sector," Energy, Elsevier, vol. 135(C), pages 865-875.
    30. Ihle, Rico & Amikuzuno, Joseph, 2009. "The Integration of Tomato Markets in Ghana with and without Direct Trade Flows," 2009 Conference, August 16-22, 2009, Beijing, China 51402, International Association of Agricultural Economists.
    31. Gustavsson, Magnus & Osterholm, Par, 2006. "The informational value of unemployment statistics: A note on the time series properties of participation rates," Economics Letters, Elsevier, vol. 92(3), pages 428-433, September.
    32. Donggyu Sul, 2005. "New Panel Unit Root Tests under Cross Section Dependence for Practitioners," Econometrics 0506010, University Library of Munich, Germany.
    33. Amikuzuno, Joseph, 2010. "Spatial Price Transmission Analysis in Agricultural Markets: Does the Data Frequency Improve our Estimation?," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96167, African Association of Agricultural Economists (AAAE).
    34. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry," Energy Policy, Elsevier, vol. 68(C), pages 243-253.
    35. Biru Paksha Paul & Anupam Das, 2012. "Export-led Growth in India and the Role of Liberalisation," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 6(1), pages 1-26, February.
    36. Magnus Gustavsson & Par Osterholm, 2006. "Hysteresis and non-linearities in unemployment rates," Applied Economics Letters, Taylor & Francis Journals, vol. 13(9), pages 545-548.
    37. Martijn (M.I.) Droes & Ryan van Lamoen & Simona Mattheussens, 2017. "Quantitative Easing and Exuberance in Government Bond Markets: Evidence from the ECB's Expanded Assets Purchase Program," Tinbergen Institute Discussion Papers 17-080/IV, Tinbergen Institute.

  27. Choi, In, 1994. "Spurious regressions and residual-based tests for cointegration when regressors are cointegrated," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 313-320.

    Cited by:

    1. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.
    2. Uwe Hassler, 2003. "Nonsense regressions due to neglected time-varying means," Statistical Papers, Springer, vol. 44(2), pages 169-182, April.
    3. Hassler, Uwe, 1999. "Nonsense regressions due to time-varying means," DES - Working Papers. Statistics and Econometrics. WS 6361, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Choi, In & Chul Ahn, Byung, 1998. "Testing the null of stationarity for multiple time series," Journal of Econometrics, Elsevier, vol. 88(1), pages 41-77, November.
    5. Hassler, Uwe, 1996. "Spurious regressions when stationary regressors are included," Economics Letters, Elsevier, vol. 50(1), pages 25-31, January.

  28. Choi, In, 1994. "Durbin-Hausman tests for cointegration," Journal of Economic Dynamics and Control, Elsevier, vol. 18(2), pages 467-480, March.

    Cited by:

    1. Westerlund, Joakim, 2005. "Panel Cointegration Tests of the Fisher Hypothesis," Working Papers 2005:10, Lund University, Department of Economics.
    2. Choi, In & Park, Daekeun, 2008. "Causal relation between interest and exchange rates in the Asian currency crisis," Japan and the World Economy, Elsevier, vol. 20(3), pages 435-452, August.
    3. Joakim Westerlund, 2008. "Panel cointegration tests of the Fisher effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 193-233.
    4. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Kuloğlu, Ayhan, 2017. "The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity," Energy, Elsevier, vol. 133(C), pages 242-256.
    5. Umit Bulut & Emrah Kocak & Courtney Suess, 2020. "The effect of freedom on international tourism demand: Empirical evidence from the top eight most visited countries," Tourism Economics, , vol. 26(8), pages 1358-1373, December.
    6. Tarik Dogru & Umit Bulut & Ercan Sirakaya-Turk, 2021. "Modeling tourism demand: Theoretical and empirical considerations for future research," Tourism Economics, , vol. 27(4), pages 874-889, June.
    7. Nicoleta ISAC & Cosmin DOBRIN & Mehmood HUSSAN & Asad ul Islam KHAN & Alina- Andreea MARIN, 2020. "On The Ranks Of Tests Having Null Of Cointegration: A Monte Carlo Comparison," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(2), pages 58-69, June.
    8. Javier Fernandez-Macho, 2013. "A Test for the Null of Multiple Cointegrating Vectors," Economics Series Working Papers 657, University of Oxford, Department of Economics.

  29. Choi, In, 1994. "Residual-Based Tests for the Null of Stationarity with Applications to U.S. Macroeconomic Time Series," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 720-746, August.

    Cited by:

    1. Tilak Abeysinghe & Gulasekaran Rajaguru, 2009. "A Gaussian Test for Cointegration," Microeconomics Working Papers 22013, East Asian Bureau of Economic Research.
    2. Choi, In & Park, Daekeun, 2008. "Causal relation between interest and exchange rates in the Asian currency crisis," Japan and the World Economy, Elsevier, vol. 20(3), pages 435-452, August.
    3. Arvid Raknerud & Bjørn Helge Vatne, 2012. "The relation between banks' funding costs, retail rates and loan volumes: An analysis of Norwegian bank micro data," Working Paper 2012/17, Norges Bank.
    4. Arvid Raknerud & Bjørn Helge Vatne & Ketil Rakkestad, 2011. "How do banks' funding costs affect interest margins?," Discussion Papers 665, Statistics Norway, Research Department.
    5. Amsler Christine & Schmidt Peter, 2012. "A Comparison of the Robustness of Several Tests of Short Memory to Autocorrelated Errors," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 56-66, August.
    6. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    7. L.A. Gil-Alana, 2003. "Testing the Power of a Generalization of the KPSS-Tests against Fractionally Integrated Hypotheses," Computational Economics, Springer;Society for Computational Economics, vol. 22(1), pages 23-38, August.
    8. P. S. Sephton, 2010. "Unit roots and purchasing power parity: another kick at the can," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3439-3453.
    9. Amsler Christine & Schmidt Peter & Vogelsang Timothy J, 2009. "The KPSS Test Using Fixed-b Critical Values: Size and Power in Highly Autocorrelated Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-44, December.
    10. Kurozumi, Eiji, 2009. "Construction of Stationarity Tests with Less Size Distortions," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 50(1), pages 87-105, June.
    11. S Shahnawaz, 2004. "Market Power and Unites States Sectoral Textile Imports," Economic Issues Journal Articles, Economic Issues, vol. 9(2), pages 69-84, September.
    12. Nunzio Cappuccio & Diego Lubian, 2010. "The fragility of the KPSS stationarity test," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 237-253, June.
    13. Caner, M. & Kilian, L., 2001. "Size distortions of tests of the null hypothesis of stationarity: evidence and implications for the PPP debate," Journal of International Money and Finance, Elsevier, vol. 20(5), pages 639-657, October.
    14. Jansson, Michael, 2004. "Stationarity Testing With Covariates," Econometric Theory, Cambridge University Press, vol. 20(1), pages 56-94, February.
    15. In Choi, 1999. "Testing the random walk hypothesis for real exchange rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 293-308, May.
    16. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    17. Suzanne McCoskey & Chihwa Kao, 1998. "A residual-based test of the null of cointegration in panel data," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 57-84.
    18. Arvid Raknerud & Bjørn Helge Vatne, 2013. "The relations between bank-funding costs, retail rates, and loan volumes. Evidence form Norwegian microdata," Discussion Papers 742, Statistics Norway, Research Department.
    19. Cho, Cheol-Keun & Amsler, Christine & Schmidt, Peter, 2015. "A test of the null of integer integration against the alternative of fractional integration," Journal of Econometrics, Elsevier, vol. 187(1), pages 217-237.
    20. Nunzio Cappuccio & Diego Lubian, 2007. "Asymptotic Null Distributions of Stationarity and Nonstationarity Tests Under Local-to-finite Variance Errors," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 59(3), pages 403-423, September.
    21. Breitung, Jörg, 1998. "Canonical correlation statistics for testing the cointegration rank in a reversed order," SFB 373 Discussion Papers 1998,105, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    22. Markku Lanne & Pentti Saikkonen, 2003. "Reducing size distortions of parametric stationarity tests," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(4), pages 423-439, July.
    23. Nunzio Cappuccio & Diego Lubian, 2003. "Asymptotic null distributions of stationarity and nonstationarity," Working Papers 08/2003, University of Verona, Department of Economics.
    24. Choi, In & Chul Ahn, Byung, 1998. "Testing the null of stationarity for multiple time series," Journal of Econometrics, Elsevier, vol. 88(1), pages 41-77, November.
    25. Muller, Ulrich K., 2005. "Size and power of tests of stationarity in highly autocorrelated time series," Journal of Econometrics, Elsevier, vol. 128(2), pages 195-213, October.
    26. Ahn & Byung Chul, 1994. "Testing the null of stationarity in the presence of structural breaks for multiple time series," Econometrics 9411001, University Library of Munich, Germany, revised 08 Nov 1994.
    27. Alper Kara & Dilem Yildirim & G. Ipek Tunc, 2023. "Market efficiency in non-renewable resource markets: evidence from stationarity tests with structural changes," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 279-290, June.
    28. Saikkonen, Pentti & Choi, In, 2000. "Cointegrating smooth transition regressions with applications to the Asian currency crisis," SFB 373 Discussion Papers 2000,98, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  30. Choi, In & Phillips, Peter C. B., 1993. "Testing for a unit root by frequency domain regression," Journal of Econometrics, Elsevier, vol. 59(3), pages 263-286, October.

    Cited by:

    1. Chambers, Marcus J. & Ercolani, Joanne S. & Taylor, A.M. Robert, 2014. "Testing for seasonal unit roots by frequency domain regression," Journal of Econometrics, Elsevier, vol. 178(P2), pages 243-258.
    2. Eroğlu, Burak Alparslan, 2019. "Wavelet variance ratio cointegration test and wavestrapping," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 298-319.
    3. Tiwari, Aviral Kumar & Kyophilavong, Phouphet, 2014. "New evidence from the random walk hypothesis for BRICS stock indices: a wavelet unit root test approach," Economic Modelling, Elsevier, vol. 43(C), pages 38-41.
    4. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2012. "Testing for unit roots in the presence of uncertainty over both the trend and initial condition," Journal of Econometrics, Elsevier, vol. 169(2), pages 188-195.
    5. Burak Eroglu, 2017. "Wavelet Variance Ratio Test And Wavestrapping For The Determination Of The Cointegration Rank," Working Papers 1706, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    6. Lingjie Du & Tianxiao Pang, 2021. "Asymptotic Theory for a Stochastic Unit Root Model with Intercept and Under Mis-Specification of Intercept," Methodology and Computing in Applied Probability, Springer, vol. 23(3), pages 767-799, September.
    7. Natalia Bailey & Liudas Giraitis, 2015. "Spectral Approach to Parameter-Free Unit Root Testing," Working Papers 746, Queen Mary University of London, School of Economics and Finance.
    8. Claude Diebolt, 2021. "Trend, Cycles and Chance," Working Papers of BETA 2021-14, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Burak Eroglu & Kemal Caglar Gogebakan & Mirza Trokic, 2017. "Fractional Seasonal Variance Ratio Unit Root Tests," Working Papers 1707, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.

  31. Choi, In, 1993. "Asymptotic Normality of the Least-Squares Estimates for Higher Order Autoregressive Integrated Processes with Some Applications," Econometric Theory, Cambridge University Press, vol. 9(2), pages 263-282, April.

    Cited by:

    1. Hadri, Kaddour & Kurozumi, Eiji, 2012. "A simple panel stationarity test in the presence of serial correlation and a common factor," Economics Letters, Elsevier, vol. 115(1), pages 31-34.
    2. DUFOUR, Jean-Marie & PELLETIER, Denis & RENAULT, Éric, 2003. "Short Run and Long Run Causality in Time Series : Inference," Cahiers de recherche 14-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    3. Jean-Marie Dufour & Tarek Jouini, 2005. "Finite-Sample Simulation-Based Inference in VAR Models with Applications to Order Selection and Causality Testing," CIRANO Working Papers 2005s-26, CIRANO.
    4. Vishal Chandr Jaunky & Robert Lundmark, 2015. "Are Shocks to Wood Fuel Production Permanent? Evidence from the EU," Energies, MDPI, vol. 8(11), pages 1-11, November.
    5. Castro, Tomás del Barrio & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2013. "The Impact Of Persistent Cycles On Zero Frequency Unit Root Tests," Econometric Theory, Cambridge University Press, vol. 29(6), pages 1289-1313, December.
    6. Lin, Yingqian & Tu, Yundong, 2020. "Robust inference for spurious regressions and cointegrations involving processes moderately deviated from a unit root," Journal of Econometrics, Elsevier, vol. 219(1), pages 52-65.
    7. Zeren, Feyyaz & Öztürk, Erkan, 2015. "Testing For Profit Persistence Of Listed Manufacturing Companies In Istanbul Stock Exchange," Ekonomika, Journal for Economic Theory and Practice and Social Issues, Society of Economists Ekonomika, Nis, Serbia, vol. 61(2), pages 1-10, June.
    8. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    9. Eiji Kurozumi & Kohei Aono, 2011. "Estimation and Inference in Predictive Regressions," Global COE Hi-Stat Discussion Paper Series gd11-192, Institute of Economic Research, Hitotsubashi University.
    10. James D. Hamilton, 2017. "Why You Should Never Use the Hodrick-Prescott Filter," NBER Working Papers 23429, National Bureau of Economic Research, Inc.
    11. Ahmet Koseoglu & Ali Gokhan Yucel & Recep Ulucak, 2022. "Green innovation and ecological footprint relationship for a sustainable development: Evidence from top 20 green innovator countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 976-988, October.
    12. Dietmar Bauer & Alex Maynard, 2010. "Persistence-robust Granger causality testing," Working Papers 1011, University of Guelph, Department of Economics and Finance.
    13. Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.
    14. Kaddour Hadri & Eiji Kurozumi, 2009. "A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence," Economics Working Papers 09-01, Queen's Management School, Queen's University Belfast.
    15. Ismet GOCER & Sedat ALATAS & Osman PEKER, 2016. "Effects of R&D and innovation on income in EU countries: new generation panel cointegration and causality analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(609), W), pages 153-164, Winter.
    16. Vishal Jaunky, 2013. "Democracy and economic growth in Sub-Saharan Africa: a panel data approach," Empirical Economics, Springer, vol. 45(2), pages 987-1008, October.
    17. Tae‐Hwan Kim & Stephen J. Leybourne & Paul Newbold, 2004. "Asymptotic mean‐squared forecast error when an autoregression with linear trend is fitted to data generated by an I(0) or I(1) process," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(4), pages 583-602, July.
    18. Judith A. Clarke & Mukesh Ralhan, 2005. "Direct and Indirect Causality Between Exports and Economic Output for Bangladesh and Sri Lanka: Horizon Matters," Econometrics Working Papers 0512, Department of Economics, University of Victoria.
    19. Breitung, Jörg & Demetrescu, Matei, 2015. "Instrumental variable and variable addition based inference in predictive regressions," Journal of Econometrics, Elsevier, vol. 187(1), pages 358-375.
    20. Bauer, Dietmar & Maynard, Alex, 2012. "Persistence-robust surplus-lag Granger causality testing," Journal of Econometrics, Elsevier, vol. 169(2), pages 293-300.
    21. Dufour, Jean-Marie & Jouini, Tarek, 2006. "Finite-sample simulation-based inference in VAR models with application to Granger causality testing," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 229-254.
    22. Lutkepohl, Helmut & Saikkonen, Pentti, 1999. "A lag augmentation test for the cointegrating rank of a VAR process," Economics Letters, Elsevier, vol. 63(1), pages 23-27, April.
    23. Phillips, Peter C B, 1995. "Fully Modified Least Squares and Vector Autoregression," Econometrica, Econometric Society, vol. 63(5), pages 1023-1078, September.
    24. Mehmet BÖLÜKBAŞ & Mehmet Hanefi TOPAL & Hakan HOTUNLUOĞLU, 2018. "Testing Twin Deficits Hypothesis for Eu-27 and Turkey : A Panel Granger Causality Approach under Cross-sectional Dependence," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 101-119, December.
    25. In Choi & Sun Ho Hwang, 2016. "Optimal Autoregressive Predictions," Working Papers 1607, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

  32. Choi, In, 1992. "Durbin-Hausman Tests for a Unit Root," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 289-304, August.

    Cited by:

    1. Tilak Abeysinghe & Gulasekaran Rajaguru, 2009. "A Gaussian Test for Cointegration," Microeconomics Working Papers 22013, East Asian Bureau of Economic Research.
    2. Westerlund, Joakim, 2005. "Panel Cointegration Tests of the Fisher Hypothesis," Working Papers 2005:10, Lund University, Department of Economics.
    3. Abadir, Karim M., 1995. "Unbiased estimation as a solution to testing for random walks," Economics Letters, Elsevier, vol. 47(3-4), pages 263-268, March.
    4. Carol Alexander & Michael Barrow, 1994. "Seasonality and Cointegration of Regional House Prices in the UK," Urban Studies, Urban Studies Journal Limited, vol. 31(10), pages 1667-1689, December.
    5. João Frois Caldeira & Marcelo Savino Portugal, 2010. "Long-Short Market Neutral and Index Tracking Strategies Based on Cointegrated Portfolios," Brazilian Review of Finance, Brazilian Society of Finance, vol. 8(4), pages 469-504.
    6. Choi, In & Chul Ahn, Byung, 1998. "Testing the null of stationarity for multiple time series," Journal of Econometrics, Elsevier, vol. 88(1), pages 41-77, November.

  33. Choi, In, 1992. "Effects of data aggregation on the power of tests for a unit root : A simulation study," Economics Letters, Elsevier, vol. 40(4), pages 397-401, December.

    Cited by:

    1. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Jones, Rodney & Purcell, Wayne & Driscoll, Paul & Peterson, Everett, 1996. "Issues and Cautions in Employing Behavioral Modeling Approaches to Test for Market Power," Staff Papers 232517, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
    3. Kevin Mongeon, 2015. "A Market Test for Ethnic Discrimination in the National Hockey League," Journal of Sports Economics, , vol. 16(5), pages 460-481, June.
    4. Hondroyiannis, George & Papapetrou, Evangelia, 2001. "Demographic changes, labor effort and economic growth: empirical evidence from Greece," Journal of Policy Modeling, Elsevier, vol. 23(2), pages 169-188, February.
    5. Ng, Serena, 1995. "Testing for unit roots in flow data sampled at different frequencies," Economics Letters, Elsevier, vol. 47(3-4), pages 237-242, March.
    6. Hondroyiannis, George & Papapetrou, Evangelia, 1998. "Temporal causality and the inflation-productivity relationship: Evidence from eight low inflation OECD countries," International Review of Economics & Finance, Elsevier, vol. 7(1), pages 117-135.
    7. Hondroyiannis, George & Papapetrou, Evangelia, 2001. "An Investigation of the Public Deficits and Government Spending Relationship: Evidence for Greece," Public Choice, Springer, vol. 107(1-2), pages 169-182, April.
    8. In Choi & Bhum Suk Chung, 1995. "Sampling frequency and the power of tests for a unit root: A simulation study," Economics Letters, Elsevier, vol. 49(2), pages 131-136, August.
    9. Čermák, Michal & Ligocká, Marie, 2022. "Could Exist a Causality Between the Most Traded Commodities and Futures Commodity Prices in the Agricultural Market?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(4), December.
    10. Hondroyiannis, George & Lolos, Sarantis & Papapetrou, Evangelia, 2002. "Energy consumption and economic growth: assessing the evidence from Greece," Energy Economics, Elsevier, vol. 24(4), pages 319-336, July.
    11. Valerie Grossman & Enrique Martínez García & Efthymios Pavlidis, 2017. "Detecting Periods of Exuberance: A Look at the Role of Aggregation with an Application to House Prices," Globalization Institute Working Papers 325, Federal Reserve Bank of Dallas.
    12. Adamopoulos Antonios, 2010. "Credit Market Development and Economic Growth: An Empirical Analysis for Ireland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 3-18.
    13. George Hondroyiannis & Evangelia Papapetrou, 2000. "Do Demographic Changes Affect Fiscal Developments?," Public Finance Review, , vol. 28(5), pages 468-488, September.
    14. George Hondroyiannis & Evangelia Papapetrou, 1999. "Fertility choice and economic growth: Empirical evidence from the U.S," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(1), pages 108-120, February.
    15. Chun-Yu Ho & Kam Wing Siu, 2006. "A Dynamic Equilibrium of Electricity Consumption and GDP in Hong Kong: An Empirical Investigation," Boston University - Department of Economics - Working Papers Series WP2006-049, Boston University - Department of Economics.
    16. Kőrösi, Gábor & Lovrics, László & Mátyás, László, 1995. "Aggregation and the long run properties of economic time series," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 279-286.
    17. Antonios ADAMOPOULOS, 2021. "Energy and economic growth. An empirical analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(626), S), pages 151-166, Spring.
    18. Vazakidis Athanasios & Adamopoulos Antonios, 2012. "Stock Market Development and Economic Growth an Empirical Analysis," American Journal of Economics and Business Administration, Science Publications, vol. 4(2), pages 135-143, June.
    19. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," Working Papers 127145, Cornell University, Department of Applied Economics and Management.
    20. Xuedong Wu & Jeffrey H. Dorfman & Berna Karali, 2018. "The impact of data frequency on market efficiency tests of commodity futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 696-714, June.
    21. Mohsen Mehrara & Abbas Rezazadeh Karsalari, 2011. "Oil Revenues, Economic Growth and Resource Curse in Iran Economy," Journal of Social and Development Sciences, AMH International, vol. 2(2), pages 73-80.
    22. Chambers, Marcus J., 2004. "Testing for unit roots with flow data and varying sampling frequency," Journal of Econometrics, Elsevier, vol. 119(1), pages 1-18, March.
    23. Dritsakis, N., 2004. "Defense spending and economic growth: an empirical investigation for Greece and Turkey," Journal of Policy Modeling, Elsevier, vol. 26(2), pages 249-264, February.
    24. Ihle, Rico & Amikuzuno, Joseph, 2009. "The Integration of Tomato Markets in Ghana with and without Direct Trade Flows," 2009 Conference, August 16-22, 2009, Beijing, China 51402, International Association of Agricultural Economists.
    25. Amikuzuno, Joseph, 2010. "Spatial Price Transmission Analysis in Agricultural Markets: Does the Data Frequency Improve our Estimation?," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96167, African Association of Agricultural Economists (AAAE).
    26. Tan, Anthony C.K. & Goh, Kim-Leng, 2009. "Financial Disintermediation in the 1990s : Implications on Monetary Policy in Malaysia," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 50(1), pages 1-27, June.

  34. Choi, In & Phillips, Peter C. B., 1992. "Asymptotic and finite sample distribution theory for IV estimators and tests in partially identified structural equations," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 113-150.
    See citations under working paper version above.
  35. Phillips, P.C.B. & Choi, I. & Schochet, P.Z., 1988. "Worldwide Institutional and Individual Rankings in Statistical Theory by Journal Publications over the period 1980–1986," Econometric Theory, Cambridge University Press, vol. 4(1), pages 1-34, April.

    Cited by:

    1. Baltagi, Badi H., 2007. "Worldwide Econometrics Rankings: 1989–2005," Econometric Theory, Cambridge University Press, vol. 23(5), pages 952-1012, October.
    2. Baltagi, Badi H., 2003. "Worldwide Institutional And Individual Rankings In Econometrics Over The Period 1989–1999: An Update," Econometric Theory, Cambridge University Press, vol. 19(1), pages 165-224, February.
    3. Baltagi, Badi H, 1999. "Applied Econometrics Rankings: 1989-1995," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 423-441, July-Aug..
    4. Francisco Cribari-Neto & Mark J. Jensen & Alvaro C. Novo, 1997. "Research in Econometric Theory: Quantitative and Qualitative Productivity Rankings," Econometrics 9711001, University Library of Munich, Germany, revised 04 Mar 1998.
    5. Baltagi, Badi H., 1998. "Worldwide Institutional Rankings In Econometrics: 1989–1995," Econometric Theory, Cambridge University Press, vol. 14(1), pages 1-43, February.
    6. José M. Merigó & Jian-Bo Yang, 2017. "Accounting Research: A Bibliometric Analysis," Australian Accounting Review, CPA Australia, vol. 27(1), pages 71-100, March.
    7. Jang C. Jin, 2009. "Publications in mathematical economics and econometrics: ranking of Asian universities and an application of Zipf's law," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 23(2), pages 116-122, November.
    8. Gil, J. A. & Rodriguez, J., 1999. "Trend in statistical research productivity by journal publications over the period 1985-1997," DES - Working Papers. Statistics and Econometrics. WS 6355, Universidad Carlos III de Madrid. Departamento de Estadística.

Chapters

  1. Jörg Breitung & In Choi, 2013. "Factor models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 11, pages 249-265, Edward Elgar Publishing.
    • In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

Books

  1. Choi,In, 2015. "Almost All about Unit Roots," Cambridge Books, Cambridge University Press, number 9781107097339.

    Cited by:

    1. Liguo, Xin & Ahmad, Manzoor & Khattak, Shoukat Iqbal, 2022. "Impact of innovation in marine energy generation, distribution, or transmission-related technologies on carbon dioxide emissions in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    2. Jungjun Choi & In Choi, 2016. "Maximum Likelihood Estimation of Autoregressive Models with a Near Unit Root and Cauchy Errors," Working Papers 1612, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Marcos Sanso-Navarro & María Vera-Cabello, 2020. "Income Inequality and Persistence Changes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 495-511, November.
    4. Goulet Coulombe, Philippe & Leroux, Maxime & Stevanovic, Dalibor & Surprenant, Stéphane, 2021. "Macroeconomic data transformations matter," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1338-1354.
    5. Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
    6. Sven Otto, 2020. "Unit Root Testing with Slowly Varying Trends," Papers 2003.04066, arXiv.org, revised Aug 2020.
    7. Clayton Webb & Suzanna Linn & Matthew J. Lebo, 2020. "Beyond the Unit Root Question: Uncertainty and Inference," American Journal of Political Science, John Wiley & Sons, vol. 64(2), pages 275-292, April.
    8. Perles-Ribes, José Francisco & Ramón-Rodríguez, Ana Belén & Rubia, Antonio & Moreno-Izquierdo, Luis, 2017. "Is the tourism-led growth hypothesis valid after the global economic and financial crisis? The case of Spain 1957–2014," Tourism Management, Elsevier, vol. 61(C), pages 96-109.
    9. Bakker, Vincent & Van Vliet, Olaf, 2019. "Social Investment, Employment Outcomes and Policy and Institutional Complementarities: A Comparative Analysis across 26 OECD countries," MPRA Paper 96140, University Library of Munich, Germany.
    10. Santiago J. Gahn & Alejandro González, 2018. "On the “utilisation controversy”: a comment," Working Papers PKWP1814, Post Keynesian Economics Society (PKES).
    11. Sven Otto, 2021. "Unit root testing with slowly varying trends," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 85-106, January.
    12. Bruce E. Hansen & Jeffrey S. Racine, 2024. "Bootstrap Model Averaging Unit Root Inference," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 81-98, Emerald Group Publishing Limited.
    13. Jae H. Kim & Andrew P. Robinson, 2019. "Interval-Based Hypothesis Testing and Its Applications to Economics and Finance," Econometrics, MDPI, vol. 7(2), pages 1-22, May.
    14. Kim, Jae & Choi, In, 2015. "Unit Roots in Economic and Financial Time Series: A Re-Evaluation based on Enlightened Judgement," MPRA Paper 68411, University Library of Munich, Germany.
    15. González-Rivera, Gloria & Veiga, Helena, 2016. "A Bootstrap Approach for Generalized Autocontour Testing," DES - Working Papers. Statistics and Econometrics. WS 23457, Universidad Carlos III de Madrid. Departamento de Estadística.
    16. Furuoka, Fumitaka & Pui, Kiew Ling & Ezeoke, Chinyere Mary Rose & Jacob, Ray Ikechukwu & Yaya, OlaOluwa S, 2019. "Growth Slowdowns and Middle-Income Trap: Evidence from New Unit Root Framework," MPRA Paper 98672, University Library of Munich, Germany.
    17. Philippe Goulet Coulombe & Maximilian Gobel, 2020. "Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis," Papers 2005.02535, arXiv.org, revised Mar 2021.
    18. Im, K S. & Pesaran, M. H. & Shin, Y., 2023. "Reflections on "Testing for Unit Roots in Heterogeneous Panels"," Cambridge Working Papers in Economics 2310, Faculty of Economics, University of Cambridge.
    19. Frédérique Bec & Alain Guay & Heino Bohn Nielsen & Sarra Saïdi, 2022. "Power of unit root tests against nonlinear and noncausal alternatives," THEMA Working Papers 2022-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    20. Junaid Ashraf, 2023. "Does political risk undermine environment and economic development in Pakistan? Empirical evidence from China–Pakistan economic corridor," Economic Change and Restructuring, Springer, vol. 56(1), pages 581-608, February.
    21. Winkelried, Diego, 2017. "Unit roots in real primary commodity prices? A meta-analysis of the Grilli and Yang data set," Working Papers 2017-013, Banco Central de Reserva del Perú.
    22. Michaelides, Michael & Spanos, Aris, 2020. "On modeling heterogeneity in linear models using trend polynomials," Economic Modelling, Elsevier, vol. 85(C), pages 74-86.
    23. Ricardo Quineche & Gabriel Rodríguez, 2017. "Selecting the Lag Length for the M GLS Unit Root Tests with Structural Change: A Warning Note for Practitioners Based on Simulations," Econometrics, MDPI, vol. 5(2), pages 1-10, April.
    24. Winkelried, Diego, 2015. "Unit Roots, Flexible Trends and the Prebisch-Singer Hypothesis," Working Papers 2015-007, Banco Central de Reserva del Perú.
    25. Santiago José Gahn & Alejandro González, 2022. "On the empirical content of the convergence debate: Cross‐country evidence on growth and capacity utilisation," Metroeconomica, Wiley Blackwell, vol. 73(3), pages 825-855, July.
    26. Hugo Ferrer-Pérez & Fadi Abdelradi & José M. Gil, 2020. "Geographical Indications and Price Volatility Dynamics of Lamb Prices in Spain," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    27. Kung-Sik Chan & Simone Giannerini & Greta Goracci & Howell Tong, 2020. "Testing for threshold regulation in presence of measurement error with an application to the PPP hypothesis," Papers 2002.09968, arXiv.org, revised Nov 2021.
    28. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
    29. Tomás Barrio & Mariam Camarero & Cecilio Tamarit, 2019. "Testing for Periodic Integration with a Changing Mean," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 45-75, June.
    30. Melo, Patricia C. & Sobreira, Nuno & Goulart, Pedro, 2019. "Estimating the long-run metro demand elasticities for Lisbon: A time-varying approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 360-376.
    31. Yaya, OlaOluwa S & Ling, Pui Kiew & Furuoka, Fumitaka & Ezeoke, Chinyere Mary Rose & Jacob, Ray Ikechukwu, 2018. "Can Western African countries catch up with Nigeria? Evidence from Smooth Nonlinearity method in Fractional Unit root framework," MPRA Paper 90517, University Library of Munich, Germany.
    32. Mohamed Maher & Yanzhi Zhao, 2022. "Do Political Instability and Military Expenditure Undermine Economic Growth in Egypt? Evidence from the ARDL Approach," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(8), pages 956-979, November.
    33. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Furuoka, Fumitaka & Gil-Alana, Luis A., 2019. "A new unit root analysis for testing hysteresis in unemployment," MPRA Paper 96621, University Library of Munich, Germany.
    34. Jae H. Kim & In Choi, 2017. "Unit Roots in Economic and Financial Time Series: A Re-Evaluation at the Decision-Based Significance Levels," Econometrics, MDPI, vol. 5(3), pages 1-23, September.
    35. In Choi & Sun Ho Hwang, 2016. "Optimal Autoregressive Predictions," Working Papers 1607, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

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