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Chirok Han

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.

Working papers

  1. Hyungserk Ha & Chirok Han & Beomsoo Kim, 2017. "Can Obesity Cause Depression? Using Pseudo Panel Analysis," Discussion Paper Series 1701, Institute of Economic Research, Korea University.

    Cited by:

    1. Alfonso Flores-Lagunes & Amin Vikesh & Carlos A. Flores, 2019. "The Impact of BMI on Mental Health: Further Evidence from Genetic Markers," Center for Policy Research Working Papers 216, Center for Policy Research, Maxwell School, Syracuse University.

  2. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.

    Cited by:

    1. Goeun Lee & Chirok Han, 2018. "Bias Reduction by Imputation for Linear Panel Data Models with Nonrandom Missing," Discussion Paper Series 1801, Institute of Economic Research, Korea University.
    2. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.

  3. Tue Gorgens & Chirok Han & Sen Xue, 2016. "Moment restrictions and identification in linear dynamic panel data models," ANU Working Papers in Economics and Econometrics 2016-633, Australian National University, College of Business and Economics, School of Economics.

    Cited by:

    1. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Practical aspects of using quadratic moment conditions in linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-38-19, University of Passau, Faculty of Business and Economics.
    2. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
    3. Gørgens, Tue & Han, Chirok & Xue, Sen, 2020. "On the asymptotic distribution of the quadratic GMM estimator of a dynamic panel data model under a unit root," Economics Letters, Elsevier, vol. 197(C).
    4. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.
    5. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2019. "Pdynmc - An R-package for estimating linear dynamic panel data models based on linear and nonlinear moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-39-19, University of Passau, Faculty of Business and Economics.
    6. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    7. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Large sample properties of an IV estimator based on the Ahn and Schmidt moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-37-19, University of Passau, Faculty of Business and Economics.

  4. Tue Gorgens & Chirok Han & Sen Xue, 2016. "Asymptotic distributions of the quadratic GMM estimator in linear dynamic panel data models," ANU Working Papers in Economics and Econometrics 2016-635, Australian National University, College of Business and Economics, School of Economics.

    Cited by:

    1. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Practical aspects of using quadratic moment conditions in linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-38-19, University of Passau, Faculty of Business and Economics.
    2. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.

  5. Peter C.B. Phillips & Chirok Han, 2014. "True Limit Distributions of the Anderson-Hsiao IV Estimators in Panel Autoregression," Cowles Foundation Discussion Papers 1963, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Yoonseok Lee & Peter C.B. Phillips, 2013. "Model Selection in the Presence of Incidental Parameters," Cowles Foundation Discussion Papers 1919, Cowles Foundation for Research in Economics, Yale University.
    2. John Chao & Peter C.B. Phillips, 2017. "Uniform Inference in Panel Autoregression," Cowles Foundation Discussion Papers 2071, Cowles Foundation for Research in Economics, Yale University.
    3. Mayer, Alexander, 2022. "On the local power of some tests of strict exogeneity in linear fixed effects models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 49-74.
    4. Benczúr, Péter & Karagiannis, Stelios & Kvedaras, Virmantas, 2019. "Finance and economic growth: Financing structure and non-linear impact," Journal of Macroeconomics, Elsevier, vol. 62(C).

  6. Chirok Han & Peter C.B. Phillips, 2011. "First Difference MLE and Dynamic Panel Estimation," Cowles Foundation Discussion Papers 1780, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Santiago Carbó-Valverde & Edward J. Kane & Francisco Rodríguez-Fernández, 2011. "Safety-net benefits conferred on difficulty-to-fail-and-unwind banks in the U.S. and EU before and during the Great Recession," Proceedings 1132, Federal Reserve Bank of Chicago.
    2. Switek, Maggie, 2012. "Internal Migration and Life Satisfaction: Well-Being Effects of Moving as a Young Adult," IZA Discussion Papers 7016, Institute of Labor Economics (IZA).

  7. Chirok Han & Peter C.B. Phillips & Donggyu Sul, 2010. "X-Differencing and Dynamic Panel Model Estimation," Cowles Foundation Discussion Papers 1747, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    2. Bischoff, Oliver & Buchwald, Achim, 2015. "Horizontal and Vertical Firm Networks, Corporate Performance and Product Market Competition," MPRA Paper 63413, University Library of Munich, Germany.
    3. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    4. Ding, Long & Liu, Peng & Hu, Sen, 2023. "Geo-Fencing or Geo-Conquesting? a strategic analysis of Location-Based coupon under different market structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    5. Lee, Yoon-Jin & Okui, Ryo & Shintani, Mototsugu, 2018. "Asymptotic inference for dynamic panel estimators of infinite order autoregressive processes," Journal of Econometrics, Elsevier, vol. 204(2), pages 147-158.
    6. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2015. "Robust standard errors in transformed likelihood estimation of dynamic panel data models with cross-sectional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 188(1), pages 111-134.
    7. Cizek, P. & Aquaro, M., 2015. "Robust Estimation and Moment Selection in Dynamic Fixed-effects Panel Data Models," Other publications TiSEM 39d0f613-007f-4d21-b1e2-b, Tilburg University, School of Economics and Management.
    8. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Other publications TiSEM 9bf2c16c-522f-4223-8037-c, Tilburg University, School of Economics and Management.
    9. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 110375, University Library of Munich, Germany, revised 15 Aug 2021.
    10. Dhaene, Geert & Zhu, Yu, 2017. "Median-based estimation of dynamic panel models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 398-423.
    11. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    12. Wojciech Charemza & Svetlana Makarova & Krzysztof Rybiński, 2023. "Anti-pandemic restrictions, uncertainty and sentiment in seven countries," Economic Change and Restructuring, Springer, vol. 56(1), pages 1-27, February.
    13. John Chao & Peter C.B. Phillips, 2017. "Uniform Inference in Panel Autoregression," Cowles Foundation Discussion Papers 2071, Cowles Foundation for Research in Economics, Yale University.
    14. Qamruzzaman, Md & Jianguo, Wei, 2020. "The asymmetric relationship between financial development, trade openness, foreign capital flows, and renewable energy consumption: Fresh evidence from panel NARDL investigation," Renewable Energy, Elsevier, vol. 159(C), pages 827-842.
    15. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    16. Ryo Okui, 2017. "Misspecification in Dynamic Panel Data Models and Model-Free Inferences," The Japanese Economic Review, Springer, vol. 68(3), pages 283-304, September.
    17. 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).
    18. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    19. Jhih-Gang Chen & Biing-Shen Kuo, 2013. "Gaussian inference in general AR(1) models based on difference," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 447-453, July.
    20. Md. Qamruzzaman & Jianguo Wei, 2019. "Financial Innovation and Financial Inclusion Nexus in South Asian Countries: Evidence from Symmetric and Asymmetric Panel Investigation," IJFS, MDPI, vol. 7(4), pages 1-27, October.
    21. Chihwa Kao & Long Liu & Rui Sun, 2021. "A bias-corrected fixed effects estimator in the dynamic panel data model," Empirical Economics, Springer, vol. 60(1), pages 205-225, January.
    22. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    23. Khalaf, Lynda & Saunders, Charles J., 2020. "Monte Carlo two-stage indirect inference (2SIF) for autoregressive panels," Journal of Econometrics, Elsevier, vol. 218(2), pages 419-434.
    24. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.

  8. Chirok Han & Peter C.B. Phillips & Donggyu Sul, 2010. "Uniform Asymptotic Normality in Stationary and Unit Root Autoregression," Cowles Foundation Discussion Papers 1746, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Ruidong Han & Xinghui Wang & Shuhe Hu, 2018. "Asymptotics of the weighted least squares estimation for AR(1) processes with applications to confidence intervals," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(3), pages 479-490, August.
    2. Joakim Westerlund & Mehdi Hosseinkouchack, 2016. "Modified CADF and CIPS Panel Unit Root Statistics with Standard Chi-squared and Normal Limiting Distributions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 347-364, June.
    3. Yuriy Gorodnichenko & Anna Mikusheva & Serena Ng, 2011. "Estimators for Persistent and Possibly Non-Stationary Data with Classical Properties," NBER Working Papers 17424, National Bureau of Economic Research, Inc.
    4. Han, Chirok & Phillips, Peter C.B., 2013. "First difference maximum likelihood and dynamic panel estimation," Journal of Econometrics, Elsevier, vol. 175(1), pages 35-45.
    5. John Chao & Peter C.B. Phillips, 2017. "Uniform Inference in Panel Autoregression," Cowles Foundation Discussion Papers 2071, Cowles Foundation for Research in Economics, Yale University.
    6. Jhih-Gang Chen & Biing-Shen Kuo, 2013. "Gaussian inference in general AR(1) models based on difference," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 447-453, July.
    7. Phillips, Peter C.B., 2023. "Estimation And Inference With Near Unit Roots," Econometric Theory, Cambridge University Press, vol. 39(2), pages 221-263, April.
    8. Müller, Ulrich K. & Wang, Yulong, 2019. "Nearly weighted risk minimal unbiased estimation," Journal of Econometrics, Elsevier, vol. 209(1), pages 18-34.

  9. Jin Seo Cho & Chirok Han & Peter C.B. Phillips, 2009. "LAD Asymptotics under Conditional Heteroskedasticity with Possibly Infinite Error Densities," Cowles Foundation Discussion Papers 1703, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Jin Seo Cho & Tae-Hwan Kim & Yongcheol Shin, 2014. "Quantile Cointegration in the Autoregressive Distributed-Lag Modelling Framework," Working papers 2014rwp-69, Yonsei University, Yonsei Economics Research Institute.

  10. Chirok Han & Jin Seo Cho & Peter C.B. Phillips, 2009. "Infinite Density at the Median and the Typical Shape of Stock Return Distributions," Cowles Foundation Discussion Papers 1701, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Jin Seo Cho & Tae-Hwan Kim & Yongcheol Shin, 2014. "Quantile Cointegration in the Autoregressive Distributed-Lag Modelling Framework," Working papers 2014rwp-69, Yonsei University, Yonsei Economics Research Institute.
    2. Jin Seo Cho & Chirok-Han & Peter C. B. Phillips, 2009. "LAD Asymptotics under Conditional Heteroskedasticity with Possibly Infinite Error Densities," Discussion Paper Series 0917, Institute of Economic Research, Korea University.
    3. Byung-hill Jun & Hosin Song, 2019. "Tests for Detecting Probability Mass Points," Korean Economic Review, Korean Economic Association, vol. 35, pages 205-248.

  11. Chirok Han & Peter C.B. Phillips, 2007. "GMM Estimation for Dynamic Panels with Fixed Effects and Strong Instruments at Unity," Cowles Foundation Discussion Papers 1599, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Joseph Ato Forson & Ponlapat Buracom & Guojin Chen & Theresa Yaaba Baah-Ennumh, 2017. "Genuine Wealth Per Capita as a Measure of Sustainability and the Negative Impact of Corruption on Sustainable Growth in Sub-Sahara Africa," South African Journal of Economics, Economic Society of South Africa, vol. 85(2), pages 178-195, June.
    3. Burger, Martijn & Ianchovichina, Elena & Rijkers, Bob, 2013. "Risky business : political instability and greenfield foreign direct investment in the Arab world," Policy Research Working Paper Series 6716, The World Bank.
    4. Maurice J. G. Bun & Frank Kleibergen, 2021. "Identification robust inference for moments based analysis of linear dynamic panel data models," Papers 2105.08346, arXiv.org.
    5. Patrik Gustavsson Tingvall & Josefin Videnord, 2020. "Regional differences in effects of publicly sponsored R&D grants on SME performance," Small Business Economics, Springer, vol. 54(4), pages 951-969, April.
    6. Drago, Danilo & Gallo, Raffaele, 2017. "The impact of sovereign rating changes on the activity of European banks," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 99-112.
    7. Jianqing Zhang & Haichao Yu & Keke Zhang & Liang Zhao & Fei Fan, 2021. "Can Innovation Agglomeration Reduce Carbon Emissions? Evidence from China," IJERPH, MDPI, vol. 18(2), pages 1-24, January.
    8. Hryshko, Dmytro & Manovskii, Iourii, 2022. "How much consumption insurance in the U.S.?," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 17-33.
    9. Fidrmuc, Jarko & Degler, Moritz, 2021. "Temporal And Spatial Dependence Of Interregional Risk Sharing: Evidence From Russia," Macroeconomic Dynamics, Cambridge University Press, vol. 25(1), pages 178-200, January.
    10. Karavias, Yiannis & Tzavalis, Elias, 2012. "On the Local Power of Fixed T Panel Unit Root Tests with Serially Correlated Errors," MPRA Paper 43131, University Library of Munich, Germany.
    11. Page, T. Beau, 2018. "CEO attributes, compensation, and firm value: Evidence from a structural estimation," Journal of Financial Economics, Elsevier, vol. 128(2), pages 378-401.
    12. Mehmet Erkan Soykan & Recep Ulucak, 2016. "Is There a Non-linear Relationship between Net Trade Cycle and Corporate Performance in Turkey?," International Business Research, Canadian Center of Science and Education, vol. 9(6), pages 95-101, June.
    13. Kimaro, Edmund Lawrence & Keong, Choong Chee & Sea, Lau Lin, 2017. "Government Expenditure, Efficiency and Economic Growth: A Panel Analysis of Sub Saharan African Low Income Countries," African Journal of Economic Review, African Journal of Economic Review, vol. 5(2), July.
    14. Christian Gourieroux & Peter C. B. Phillips & Jun Yu, 2006. "Indirect Inference for Dynamic Panel Models," Cowles Foundation Discussion Papers 1550, Cowles Foundation for Research in Economics, Yale University.
    15. Liu, Jingjing & Nijkamp, Peter & Lin, Derong, 2017. "Urban-rural imbalance and Tourism-Led Growth in China," Annals of Tourism Research, Elsevier, vol. 64(C), pages 24-36.
    16. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    17. Raffaella Santolini, 2017. "Electoral Rules And Public Spending Composition: The Case Of Italian Regions," Contemporary Economic Policy, Western Economic Association International, vol. 35(3), pages 551-577, July.
    18. Zhenlin Yang, 2014. "Initial-Condition Free Estimation of Fixed Effects Dynamic Panel Data Models," Working Papers 16-2014, Singapore Management University, School of Economics.
    19. Joakim Westerlund & Jörg Breitung, 2013. "Lessons from a Decade of IPS and LLC," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 547-591, August.
    20. Raul Ramos & Catia Nicodemo & Esteve Sanromá, 2015. "A spatial panel wage curve for Spain," Letters in Spatial and Resource Sciences, Springer, vol. 8(2), pages 125-139, July.
    21. Mihai Antonia & Zizi Goschin & Irina-Denisa Munteanu & Mihail-Dumitru Sacală, 2023. "The Effects of Schooling Level on Economic Convergence in Emerging Countries: Evidence from Romania," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 125-142, September.
    22. Missaka Warusawitharana & Toni M. Whited, 2013. "Equity market misvaluation, financing, and investment," Finance and Economics Discussion Series 2013-78, Board of Governors of the Federal Reserve System (U.S.).
    23. Jakub Hajda, 2019. "Product Market Strategy and Corporate Policies," 2019 Papers pha1309, Job Market Papers.
    24. Strebulaev, Ilya A. & Whited, Toni M., 2012. "Dynamic Models and Structural Estimation in Corporate Finance," Foundations and Trends(R) in Finance, now publishers, vol. 6(1–2), pages 1-163, November.
    25. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2015. "Robust standard errors in transformed likelihood estimation of dynamic panel data models with cross-sectional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 188(1), pages 111-134.
    26. Gaudeul, Alexia & Giannetti, Caterina, 2011. "The role of reciprocation in social network formation, with an application to blogging," MPRA Paper 34094, University Library of Munich, Germany.
    27. Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
    28. Forson, Joseph Ato & Buracom, Ponlapat & Chen, Guojin & Baah-Ennumh, Theresa Yabaa, 2014. "Genuine Wealth Per Capita as a Measure of Sustainability and the Negative Impact of Corruption on Sustainable Growth in Sub-Sahara Africa," MPRA Paper 102210, University Library of Munich, Germany, revised 30 May 2016.
    29. Choi, Jaewon & Hackbarth, Dirk & Zechner, Josef, 2013. "Granularity of corporate debt," CFS Working Paper Series 2013/26, Center for Financial Studies (CFS).
    30. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.
    31. Csereklyei, Zsuzsanna, 2020. "Price and income elasticities of residential and industrial electricity demand in the European Union," Energy Policy, Elsevier, vol. 137(C).
    32. Matteo Deleidi & Mariana Mazzucato & Gregor Semieniuk, 2019. "Neither crowding in nor out: Public direct investment mobilising private investment into renewable electricity projects," Working Papers 226, Department of Economics, SOAS University of London, UK.
    33. Livdan, Dmitry & Nezlobin, Alexander, 2021. "Investment, capital stock, and replacement cost of assets when economic depreciation is non-geometric," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1444-1469.
    34. M. Hashem Pesaran & Liying Yang, 2023. "Heterogeneous Autoregressions in Short T Panel Data Models," CESifo Working Paper Series 10509, CESifo.
    35. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    36. Lorde, Troy & Li, Gang & Airey, David, 2014. "Modeling Caribbean Tourism Demand: An Augmented Gravity Approach," MPRA Paper 95476, University Library of Munich, Germany.
    37. Kostakis, Ioannis & Lolos, Sarantis & Sardianou, Eleni, 2021. "Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019," Energy Economics, Elsevier, vol. 99(C).
    38. Hagen, Tobias & Waldeck, Stefanie, 2014. "Using panel econometric methods to estimate the effect of milk consumption on the mortality rate of prostate and ovarian cancer," Working Paper Series 03, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    39. Daunfeldt, Sven-Olov & Halvarsson, Daniel, 2012. "Are high-growth firms one-hit wonders? Evidence from Sweden," HUI Working Papers 73, HUI Research.
    40. Ergemen, Yunus Emre & Velasco, Carlos, 2017. "Estimation of fractionally integrated panels with fixed effects and cross-section dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 248-258.
    41. Julián Ramajo & Alejandro Ricci-Risquete & Lourdes Jerez & Geoffrey J. D. Hewings, 2020. "Impacts of Neighbors on Local Tax Rates: A Space–Time Dynamic Panel Data Analysis," International Regional Science Review, , vol. 43(1-2), pages 105-127, January.
    42. Peter C.B. Phillips & Chirok Han, 2014. "True Limit Distributions of the Anderson-Hsiao IV Estimators in Panel Autoregression," Cowles Foundation Discussion Papers 1963, Cowles Foundation for Research in Economics, Yale University.
    43. Raymond Li & Guy C.K. Leung, 2012. "Gasoline consumption in China: a dynamic panel data analysis," Economics Bulletin, AccessEcon, vol. 32(3), pages 2375-2382.
    44. Robinson, Peter M. & Velasco, Carlos, 2015. "Efficient inference on fractionally integrated panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 185(2), pages 435-452.
    45. Almanzar, Miguel & Torero, Maximo & von Grebmer, Klaus, 2014. "Futures Commodities Prices and Media Coverage," MPRA Paper 61327, University Library of Munich, Germany.
    46. Davtyan Azat, 2014. "GMM Estimation and Shapiro-Francia Normality Test: A Case Study of CEE Economies," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2014(1), pages 12-26.
    47. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    48. Choi, Joonhwan & Lee, Jaegul, 2017. "Repairing the R&D market failure: Public R&D subsidy and the composition of private R&D," Research Policy, Elsevier, vol. 46(8), pages 1465-1478.
    49. Karavias, Yiannis & Tzavalis, Elias, 2012. "Generalized �Fixed-T Panel Unit Root Tests Allowing for Structural Breaks," MPRA Paper 43128, University Library of Munich, Germany.
    50. Giorgio Calzolari & Laura Magazzini, 2014. "Improving GMM efficiency in dynamic models for panel data with mean stationarity," Working Papers 12/2014, University of Verona, Department of Economics.
    51. Leonardo Chaves Borges Cardoso & Maurício Vaz Lobo Bittencourt & Alexandre Alves Porsse, 2014. "Demanda Por Combustíveis Leves No Brasil: Uma Abordagem Utilizando Painéis Espaciais Dinâmicos," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 194, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    52. Yiannis Karavias & Elias Tzavalis, 2012. "The local power of fixed-T panel unit root tests allowing for serially correlated errors," Discussion Papers 12/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    53. Yiannis Karavias & Elias Tzavalis, 2012. "Generalized fixed-T panel unit root tests allowing for structural breaks," Discussion Papers 12/02, University of Nottingham, Granger Centre for Time Series Econometrics.
    54. Burger, Martijn & Ianchovichina, Elena & Rijkers, Bob, 2015. "Risky Business: Political Instability and Sectoral Greenfield Foreign Direct Investment in the Arab World," Conference papers 332623, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    55. Gerti Shijaku, 2018. "Does Primary Sovereignty Risk Matter for Bank Stability? Evidence from the Albanian Banking System," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 16(2), pages 115-145.
    56. Gustavsson Tingvall, Patrik & Videnord, Josefin, 2017. "Regional Effects of Publicly Sponsored R&D Grants on SME Performance," Ratio Working Papers 289, The Ratio Institute.
    57. Han, Chirok & Phillips, Peter C. B. & Sul, Donggyu, 2014. "X-Differencing And Dynamic Panel Model Estimation," Econometric Theory, Cambridge University Press, vol. 30(1), pages 201-251, February.
    58. Asrat Tsegaye & Syden Mishi, 2012. "The Role of Banks in Monetary Policy Transmission in South Africa," Working Papers 295, Economic Research Southern Africa.
    59. Sun, Qi & Xiaolan, Mindy Z., 2019. "Financing intangible capital," Journal of Financial Economics, Elsevier, vol. 133(3), pages 564-588.
    60. Wojciech Charemza & Svetlana Makarova & Krzysztof Rybiński, 2023. "Anti-pandemic restrictions, uncertainty and sentiment in seven countries," Economic Change and Restructuring, Springer, vol. 56(1), pages 1-27, February.
    61. Ryan Michaels & T Beau Page & Toni M Whited, 2019. "Labor and Capital Dynamics under Financing Frictions," Review of Finance, European Finance Association, vol. 23(2), pages 279-323.
    62. John Chao & Peter C.B. Phillips, 2017. "Uniform Inference in Panel Autoregression," Cowles Foundation Discussion Papers 2071, Cowles Foundation for Research in Economics, Yale University.
    63. Albertus, James F. & Glover, Brent & Levine, Oliver, 2022. "Foreign investment of US multinationals: The effect of tax policy and agency conflicts," Journal of Financial Economics, Elsevier, vol. 144(1), pages 298-327.
    64. Erickson, Timothy & Jiang, Colin Huan & Whited, Toni M., 2014. "Minimum distance estimation of the errors-in-variables model using linear cumulant equations," Journal of Econometrics, Elsevier, vol. 183(2), pages 211-221.
    65. Ming Zhang & Xiaorong Zou & Long Sha, 2019. "Social Security and Sustainable Economic Growth: Based on the Perspective of Human Capital," Sustainability, MDPI, vol. 11(3), pages 1-14, January.
    66. Travis Davidson & W. Simpson, 2016. "Federal Home Loan Bank advances and bank risk," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 137-156, January.
    67. Xinye Zheng & Feng Song & Yihua Yu & Shunfeng Song, 2015. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 860-876, November.
    68. Pengfei Sheng & Yaping He & Xiaohui Guo, 2017. "The impact of urbanization on energy consumption and efficiency," Energy & Environment, , vol. 28(7), pages 673-686, November.
    69. Hajda, Jakub & Nikolov, Boris, 2022. "Product market strategy and corporate policies," Journal of Financial Economics, Elsevier, vol. 146(3), pages 932-964.
    70. Nabamita Dutta & Deepraj Mukherjee, 2018. "Can financial development enhance transparency?," Economic Change and Restructuring, Springer, vol. 51(4), pages 279-302, November.
    71. Timothy Erickson & Toni M. Whited, 2012. "Treating Measurement Error in Tobin's q," The Review of Financial Studies, Society for Financial Studies, vol. 25(4), pages 1286-1329.
    72. Luis Eduardo Sandoval, 2018. "Socio-economics characteristics and spatial persistence of homicides in Colombia, 2000-2010," Estudios de Economia, University of Chile, Department of Economics, vol. 45(1 Year 20), pages 51-77, June.
    73. 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).
    74. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    75. Odunayo Magret Olarewaju & Stephen Oseko Migiro & Mabutho Sibanda, 2017. "Operational Diversification and Financial Performance of Sub-Saharan Africa Commercial Banks: Static and Dynamic Approach," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(5), pages 84-106, OCTOBER.
    76. Yang, Jun & Zhang, Tengfei & Sheng, Pengfei & Shackman, Joshua D., 2016. "Carbon dioxide emissions and interregional economic convergence in China," Economic Modelling, Elsevier, vol. 52(PB), pages 672-680.
    77. Limei Ma & Qianying Wang & Dan Shi & Qinglong Shao, 2023. "Spatiotemporal patterns and determinants of renewable energy innovation: Evidence from a province-level analysis in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    78. Yunus Emre Ergemen & Carlos Velasco, 2018. "Persistence Heterogeneity Testing in Panels with Interactive Fixed Effects," CREATES Research Papers 2018-11, Department of Economics and Business Economics, Aarhus University.
    79. Forson, Joseph Ato & Opoku, Rosemary Afrakomah & Peng, Zhen, 2017. "Innovation, Institutions and Economic Growth in Sub-Sahara Africa – an IV Estimation of a Panel Threshold Model," MPRA Paper 103063, University Library of Munich, Germany, revised 15 Mar 2018.
    80. Shimizu, Chihiro, 2019. "Gravity, Counterparties, and Foreign Investment," CEPR Discussion Papers 13491, C.E.P.R. Discussion Papers.
    81. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.
    82. Jhih-Gang Chen & Biing-Shen Kuo, 2013. "Gaussian inference in general AR(1) models based on difference," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 447-453, July.
    83. Karavias, Yiannis & Tzavalis, Elias, 2014. "Testing for unit roots in short panels allowing for a structural break," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 391-407.
    84. Giorgio Calzolari & Laura Magazzini, 2011. "Moment Conditions and Neglected Endogeneity in Panel Data Models," Working Papers 02/2011, University of Verona, Department of Economics.
    85. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 Pandemic in Canada and the US," Carleton Economic Papers 20-05, Carleton University, Department of Economics, revised 30 Jul 2020.
    86. Chihwa Kao & Long Liu & Rui Sun, 2021. "A bias-corrected fixed effects estimator in the dynamic panel data model," Empirical Economics, Springer, vol. 60(1), pages 205-225, January.
    87. Ding, Jian & Liu, Baoliu & Shao, Xuefeng, 2022. "Spatial effects of industrial synergistic agglomeration and regional green development efficiency: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    88. Erik Hille & Bernhard Lambernd & Aviral K. Tiwari, 2021. "Any Signs of Green Growth? A Spatial Panel Analysis of Regional Air Pollution in South Korea," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 719-760, December.
    89. Ikonen, Pasi, 2017. "Financial depth, debt, and growth," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number e51.
    90. Shijaku, Gerti, 2017. "Bank Stability and Competition: Evidence from Albanian Banking Market," MPRA Paper 79891, University Library of Munich, Germany.
    91. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    92. Yong Bao, 2021. "Indirect Inference Estimation of a First-Order Dynamic Panel Data Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 79-98, December.
    93. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    94. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    95. Yiannis Karavias & Elias Tzavalis, 2016. "Local Power of Fixed-T Panel Unit Root Tests With Serially Correlated Errors and Incidental Trends," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(2), pages 222-239, March.
    96. Raffaella SANTOLINI, 2013. "Electoral rules and public expenditure composition: Evidence from Italian regions," Working Papers 396, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    97. Efe Can KILINÇ & Cafer Necat BERBEROĞLU, 2019. "The Relationship Between Saving, Profit Rates and Business CyclesAbstract:There are different approaches of economics schools on the sources, causes and determinants of business cycles. These approach," Sosyoekonomi Journal, Sosyoekonomi Society.
    98. Almanzar, Miguel & Torero, Maximo, 2017. "Media Coverage and Food Commodities: Agricultural Futures Prices and Volatility Effects," Discussion Papers 264781, University of Bonn, Center for Development Research (ZEF).
    99. Angelica Gonzalez, 2007. "Angelica Gonzalez," Edinburgh School of Economics Discussion Paper Series 168, Edinburgh School of Economics, University of Edinburgh.
    100. Shijaku, Gerti, 2016. "Does Primary Sovereignty Risk Matter for Bank Fragility? Evidence from Albanian Banking System," MPRA Paper 79097, University Library of Munich, Germany.
    101. Westerlund, Joakim & Norkute, Milda, 2014. "A Factor Analytical Method to Interactive Effects Dynamic Panel Models with or without Unit Root," Working Papers 2014:12, Lund University, Department of Economics.
    102. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Large sample properties of an IV estimator based on the Ahn and Schmidt moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-37-19, University of Passau, Faculty of Business and Economics.
    103. John Nana Francois & Johnson Kakeu & Cristelle Kouame, 2021. "Do Better Institutions Broaden Access To Sanitation In Sub‐Sahara Africa?," Contemporary Economic Policy, Western Economic Association International, vol. 39(2), pages 435-452, April.
    104. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    105. Gerti Shijaku, 2017. "How Does Competition Affect Bank Stability After the Global Crises in the Case of the Albanian Banking System?," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(2), pages 175-208.
    106. Koju Laxmi & Wang Shouyang & Abbas Ghulam, 2018. "Do Macroeconomic Determinants of Non-Performing Loans Vary with the Income Levels of Countries?," Journal of Systems Science and Information, De Gruyter, vol. 6(6), pages 512-531, December.
    107. Robertson, Donald & Sarafidis, Vasilis & Westerlund, Joakim, 2014. "GMM Unit Root Inference in Generally Trending and Cross-Correlated Dynamic Panels," MPRA Paper 53419, University Library of Munich, Germany.
    108. Ivanov, Ivan T. & Pettit, Luke & Whited, Toni, 2021. "Taxes Depress Corporate Borrowing: Evidence from Private Firms," IHS Working Paper Series 32, Institute for Advanced Studies.
    109. Michael S. Webb & Viv B Hall, 2009. "Application Of A Dynamic Panel Data Estimator To Cross-Country Coffee Demand: A Tale Of Two Eras," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 34(1), pages 1-17, June.

  12. Peter C. B. Phillips & Chirok Han, 2006. "Gaussian Inference in AR(1) Time Series with or without a Unit Root," Cowles Foundation Discussion Papers 1546, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Qiankun Zhou & Jun Yu, 2012. "Asymptotic Distributions of the Least Squares Estimator for Diffusion Processes," Working Papers 11-2012, Singapore Management University, School of Economics.
    2. Yuriy Gorodnichenko & Anna Mikusheva & Serena Ng, 2011. "Estimators for Persistent and Possibly Non-Stationary Data with Classical Properties," NBER Working Papers 17424, National Bureau of Economic Research, Inc.
    3. Peter C.B. Phillips & Chirok Han, 2014. "True Limit Distributions of the Anderson-Hsiao IV Estimators in Panel Autoregression," Cowles Foundation Discussion Papers 1963, Cowles Foundation for Research in Economics, Yale University.
    4. Han, Chirok & Phillips, Peter C. B. & Sul, Donggyu, 2014. "X-Differencing And Dynamic Panel Model Estimation," Econometric Theory, Cambridge University Press, vol. 30(1), pages 201-251, February.
    5. Han, Chirok & Phillips, Peter C. B. & Sul, Donggyu, 2011. "Uniform Asymptotic Normality In Stationary And Unit Root Autoregression," Econometric Theory, Cambridge University Press, vol. 27(6), pages 1117-1151, December.
    6. Luis Eduardo Sandoval, 2018. "Socio-economics characteristics and spatial persistence of homicides in Colombia, 2000-2010," Estudios de Economia, University of Chile, Department of Economics, vol. 45(1 Year 20), pages 51-77, June.
    7. Jhih-Gang Chen & Biing-Shen Kuo, 2013. "Gaussian inference in general AR(1) models based on difference," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 447-453, July.
    8. Erik Hille & Bernhard Lambernd & Aviral K. Tiwari, 2021. "Any Signs of Green Growth? A Spatial Panel Analysis of Regional Air Pollution in South Korea," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 719-760, December.
    9. In Choi, 2016. "Cross-sectional maximum likelihood and bias-corrected pooled least squares estimators for dynamic panels with short T," Working Papers 1610, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    10. Kazuhiko Hayakawa, 2006. "A Note on Bias in First-Differenced AR(1) Models," Economics Bulletin, AccessEcon, vol. 3(27), pages 1-10.
    11. Müller, Ulrich K. & Wang, Yulong, 2019. "Nearly weighted risk minimal unbiased estimation," Journal of Econometrics, Elsevier, vol. 209(1), pages 18-34.
    12. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.

  13. Chirok Han & Peter C.B. Phillips, 2005. "GMM with Many Moment Conditions," Cowles Foundation Discussion Papers 1515, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Kapetanios, George & Marcellino, Massimiliano, 2010. "Factor-GMM estimation with large sets of possibly weak instruments," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2655-2675, November.
    2. Alastair R. Hall & Sanggohn Han & Otilia Boldea, 2009. "Inference regarding multiple structural changes in linear models with endogenous regressors," Centre for Growth and Business Cycle Research Discussion Paper Series 125, Economics, The University of Manchester.
    3. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    4. Yoonseok Lee & Ryo Okui, 2009. "A Specification Test for Instrumental Variables Regression with Many Instruments," Cowles Foundation Discussion Papers 1741, Cowles Foundation for Research in Economics, Yale University.
    5. PREMINGER, Arie & HAFNER, Christian, 2006. "Deciding between GARCH and stochastic volatility via strong decision rules," LIDAM Discussion Papers CORE 2006042, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2019. "Pre-event Trends in the Panel Event-Study Design," American Economic Review, American Economic Association, vol. 109(9), pages 3307-3338, September.
    7. Pierre-Andre Chiappori & Krislert Samphantharak & Sam Schulhofer-Wohl & Robert M. Townsend, 2013. "Heterogeneity and risk sharking in village economies," Staff Report 483, Federal Reserve Bank of Minneapolis.
    8. 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.
    9. Frank Windmeijer, 2006. "GMM for panel count data models," Bristol Economics Discussion Papers 06/591, School of Economics, University of Bristol, UK.
    10. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    11. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    12. Kola, Katlego & Kodongo, Odongo, 2017. "Macroeconomic risks and REITs returns: A comparative analysis," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1228-1243.
    13. Bertille Antoine & Pascal Lavergne, 2019. "Identification-Robust Nonparametric Inference in a Linear IV Model," Discussion Papers dp19-02, Department of Economics, Simon Fraser University.
    14. Martins, Luis F. & Gabriel, Vasco J., 2014. "Linear instrumental variables model averaging estimation," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 709-724.
    15. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    16. Dong, C. & Gao, J. & Linton, O., 2018. "High Dimensional Semiparametric Moment Restriction Models," Cambridge Working Papers in Economics 1881, Faculty of Economics, University of Cambridge.
    17. Calhoun, Gray, 2010. "Hypothesis Testing in Linear Regression when K/N is Large," Staff General Research Papers Archive 32216, Iowa State University, Department of Economics.
    18. Jungbin Hwang & Byunghoon Kang & Seojeong Lee, 2019. "A Doubly Corrected Robust Variance Estimator for Linear GMM," Discussion Papers 2019-08, School of Economics, The University of New South Wales.
    19. Guo, Zijian & Kang, Hyunseung & Cai, T. Tony & Small, Dylan S., 2018. "Testing endogeneity with high dimensional covariates," Journal of Econometrics, Elsevier, vol. 207(1), pages 175-187.
    20. Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen & John C. Chao & Norman R. Swanson, 2012. "Instrumental variable estimation with heteroskedasticity and many instruments," Quantitative Economics, Econometric Society, vol. 3(2), pages 211-255, July.
    21. Lee, Yoonseok & Okui, Ryo, 2012. "Hahn–Hausman test as a specification test," Journal of Econometrics, Elsevier, vol. 167(1), pages 133-139.
    22. Menzel, Konrad, 2014. "Consistent estimation with many moment inequalities," Journal of Econometrics, Elsevier, vol. 182(2), pages 329-350.
    23. Chirok Han & Peter C.B. Phillips, 2007. "GMM Estimation for Dynamic Panels with Fixed Effects and Strong Instruments at Unity," Cowles Foundation Discussion Papers 1599, Cowles Foundation for Research in Economics, Yale University.
    24. Dennis Lim & Wenjie Wang & Yichong Zhang, 2022. "A Conditional Linear Combination Test with Many Weak Instruments," Papers 2207.11137, arXiv.org, revised Apr 2023.
    25. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    26. Hugo Kruiniger, 2006. "GMM Estimation and Inference in Dynamic Panel Data Models with Persistent Data," Working Papers 560, Queen Mary University of London, School of Economics and Finance.
    27. Liu, Xiaodong & Lee, Lung-fei, 2010. "GMM estimation of social interaction models with centrality," Journal of Econometrics, Elsevier, vol. 159(1), pages 99-115, November.
    28. P.A. Bekker & F. Crudu, 2013. "Jackknife Instrumental Variable Estimation with Heteroskedasticity," Working Paper CRENoS 201313, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    29. Phillips, Peter C.B., 2014. "Optimal estimation of cointegrated systems with irrelevant instruments," Journal of Econometrics, Elsevier, vol. 178(P2), pages 210-224.
    30. John C. Chao & Norman Rasmus Swanson, 2004. "Consistent Estimation with a Large Number of Weak Instruments," Yale School of Management Working Papers ysm374, Yale School of Management.
    31. Caner, Mehmet & Yıldız, Neşe, 2012. "CUE with many weak instruments and nearly singular design," Journal of Econometrics, Elsevier, vol. 170(2), pages 422-441.
    32. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    33. Bekker, Paul A. & Crudu, Federico, 2012. "Symmetric Jackknife Instrumental Variable Estimation," MPRA Paper 37853, University Library of Munich, Germany.
    34. Fajeau, Maxime, 2021. "Too much finance or too many weak instruments?," International Economics, Elsevier, vol. 165(C), pages 14-36.
    35. Fan, Yanqin & Han, Fang & Li, Wei & Zhou, Xiao-Hua, 2020. "On rank estimators in increasing dimensions," Journal of Econometrics, Elsevier, vol. 214(2), pages 379-412.
    36. Norman R. Swanson & John C. Chao & Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen, 2011. "Asymptotic Distribution of JIVE in a Heteroskedastic IV Regression with Many Instruments," Departmental Working Papers 201110, Rutgers University, Department of Economics.
    37. Whitney K. Newey & Frank Windmeijer, 2005. "GMM with many weak moment conditions," CeMMAP working papers CWP18/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Liao, Yuan & Jiang, Wenxin, 2011. "Posterior consistency of nonparametric conditional moment restricted models," MPRA Paper 38700, University Library of Munich, Germany.
    39. Manu Navjeevan, 2023. "An Identification and Dimensionality Robust Test for Instrumental Variables Models," Papers 2311.14892, arXiv.org.
    40. Oliver Fabel & Razvan Pascalau, 2007. "Recruitment of Overeducated Personnel: Insider-Outsider Effects on Fair Employee Selection Practices," TWI Research Paper Series 18, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    41. Fabel, Oliver & Pascalau, Razvan, 2007. "Recruitment of Seemingly Overeducated Personnel: Insider-Outsider Effects on Fair Employee Selection Practices," MPRA Paper 7218, University Library of Munich, Germany.
    42. Canay, Ivan A., 2010. "Simultaneous selection and weighting of moments in GMM using a trapezoidal kernel," Journal of Econometrics, Elsevier, vol. 156(2), pages 284-303, June.
    43. Arie Preminger & Christian M. Hafner, 2006. "Deciding Between Garch And Stochastic Volatility Via Strong Decision Rules," Working Papers 0603, Ben-Gurion University of the Negev, Department of Economics.
    44. Bontempi, Maria Elena & Mammi, Irene, 2012. "A strategy to reduce the count of moment conditions in panel data GMM," MPRA Paper 40720, University Library of Munich, Germany.
    45. Peter C. B. Phillips, 2022. "An Econometrician amongst Statisticians: T. W. Anderson," Cowles Foundation Discussion Papers 2333, Cowles Foundation for Research in Economics, Yale University.
    46. Bertille Antoine & Pascal Lavergne, 2011. "Conditional Moment Models under Semi-Strong Identification," Discussion Papers dp11-04, Department of Economics, Simon Fraser University, revised Dec 2012.
    47. Hausman, Jerry & Lewis, Randall & Menzel, Konrad & Newey, Whitney, 2011. "Properties of the CUE estimator and a modification with moments," Journal of Econometrics, Elsevier, vol. 165(1), pages 45-57.
    48. Yanqin Fan & Fang Han & Wei Li & Xiao-Hua Zhou, 2019. "On rank estimators in increasing dimensions," Papers 1908.05255, arXiv.org.
    49. Mehmet Caner, 2005. "Near Exogeneity and Weak Identification in Generalized Empirical Likelihood Estimators: Fixed and Many Moment Asymptotics," Econometrics 0509018, University Library of Munich, Germany.
    50. Caner, Mehmet, 2014. "Near exogeneity and weak identification in generalized empirical likelihood estimators: Many moment asymptotics," Journal of Econometrics, Elsevier, vol. 182(2), pages 247-268.
    51. Mehmet Caner, 2006. "Near Exogeneity and Weak Identification in Generlized Empirical Likelihood estimators : Fixed and Many Moment Asymptotics," Working Paper 212, Department of Economics, University of Pittsburgh, revised Jan 2006.
    52. Matsushita, Yukitoshi & Otsu, Taisuke, 2022. "A jackknife Lagrange multiplier test with many weak instruments," LSE Research Online Documents on Economics 116392, London School of Economics and Political Science, LSE Library.
    53. Zhenhong Huang & Chen Wang & Jianfeng Yao, 2023. "A specification test for the strength of instrumental variables," Papers 2302.14396, arXiv.org.
    54. Todd, Prono, 2009. "Simple, Skewness-Based GMM Estimation of the Semi-Strong GARCH(1,1) Model," MPRA Paper 30994, University Library of Munich, Germany, revised 30 Jul 2011.
    55. Chirok Han & Hyoungjong Kim, 2023. "Dynamic panel GMM estimators with improved finite sample properties using parametric restrictions for dimension reduction," Empirical Economics, Springer, vol. 64(6), pages 2589-2610, June.
    56. Anna Mikusheva & Liyang Sun, 2023. "Weak Identification with Many Instruments," Papers 2308.09535, arXiv.org, revised Jan 2024.
    57. Han, Chirok, 2008. "Detecting invalid instruments using L1-GMM," Economics Letters, Elsevier, vol. 101(3), pages 285-287, December.
    58. Liu, Xiaodong & Lee, Lung-fei & Bollinger, Christopher R., 2010. "An efficient GMM estimator of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 159(2), pages 303-319, December.
    59. Okui, Ryo, 2009. "The optimal choice of moments in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 151(1), pages 1-16, July.
    60. Todd, Prono, 2010. "Simple GMM Estimation of the Semi-Strong GARCH(1,1) Model," MPRA Paper 20034, University Library of Munich, Germany.
    61. Shi, Zhentao, 2016. "Econometric estimation with high-dimensional moment equalities," Journal of Econometrics, Elsevier, vol. 195(1), pages 104-119.
    62. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.
    63. Hou, Lei & Li, Kunpeng & Li, Qi & Ouyang, Min, 2021. "Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks," Journal of Econometrics, Elsevier, vol. 221(2), pages 483-509.
    64. Lapo Filistrucchi & Tobias J. Klein, 2013. "Price Competition in Two-Sided Markets with Heterogeneous Consumers and Network Effects," Working Papers 13-20, NET Institute.
    65. Lee, Nayoung & Moon, Hyungsik Roger & Zhou, Qiankun, 2017. "Many IVs estimation of dynamic panel regression models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 251-259.

  14. Peter Schmidt & Chirok Han & Luis Orea, 2004. "Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects," Econometric Society 2004 Far Eastern Meetings 519, Econometric Society.

    Cited by:

    1. Peter Schmidt & Chirok Han & Luis Orea, 2004. "Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects," Econometric Society 2004 Far Eastern Meetings 519, Econometric Society.
    2. Young H. Lee, 2014. "Stochastic Frontier Models Using GAUSS," Working Papers 1403, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.
    4. William Horrace & Seth Richards-Shubik & Ian Wright, 2015. "Expected efficiency ranks from parametric stochastic frontier models," Empirical Economics, Springer, vol. 48(2), pages 829-848, March.
    5. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    6. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    7. Hsu, Chih-Chiang & Lin, Chang-Ching & Yin, Shou-Yung, 2012. "Estimation of a panel stochastic frontier model with unobserved common shocks," MPRA Paper 37313, University Library of Munich, Germany.
    8. Millimet, Daniel L. & Bellemare, Marc, 2023. "Fixed Effects and Causal Inference," IZA Discussion Papers 16202, Institute of Labor Economics (IZA).
    9. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    10. Jinyuan Chang & Zhentao Shi & Jia Zhang, 2021. "Culling the herd of moments with penalized empirical likelihood," Papers 2108.03382, arXiv.org, revised May 2022.
    11. Peng Shi & Wei Zhang, 2011. "A copula regression model for estimating firm efficiency in the insurance industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2271-2287.
    12. Peng Shi & Wei Zhang, 2011. "Time-varying X-efficiency: evidence from US property casualty insurers," Applied Economics Letters, Taylor & Francis Journals, vol. 18(3), pages 217-221.
    13. Kneip, Alois & Sickles, Robin C. & Song, Wonho, 2012. "A New Panel Data Treatment For Heterogeneity In Time Trends," Econometric Theory, Cambridge University Press, vol. 28(3), pages 590-628, June.
    14. Satchachai, Panutat & Schmidt, Peter, 2008. "GMM with more moment conditions than observations," Economics Letters, Elsevier, vol. 99(2), pages 252-255, May.
    15. Zha, Jianping & Tan, Ting & Fan, Rong & Xu, Han & Ma, Siqi, 2020. "How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    16. Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
    17. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.
    18. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    19. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
    20. Álvarez, Antonio & Amsler, Christine & Orea, Luis & Schmidt Peter, 2005. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Efficiency Series Papers 2005/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    21. Orea, Luis, 2007. "Estimating Firm-Specific Market Power: A Composed Error Term Approach," Efficiency Series Papers 2007/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    22. Shi, Zhentao, 2016. "Econometric estimation with high-dimensional moment equalities," Journal of Econometrics, Elsevier, vol. 195(1), pages 104-119.
    23. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.

Articles

  1. Han, Chirok & Kim, Dukpa, 2020. "Testing for the null of block zero restrictions in common factor models," Economics Letters, Elsevier, vol. 188(C).

    Cited by:

    1. Jiangtao Duan & Jushan Bai & Xu Han, 2021. "Quasi-maximum likelihood estimation of break point in high-dimensional factor models," Papers 2102.12666, arXiv.org, revised Mar 2021.

  2. Tue Gørgens & Chirok Han & Sen Xue, 2019. "Moment Restrictions and Identification in Linear Dynamic Panel Data Models," Annals of Economics and Statistics, GENES, issue 134, pages 149-176.
    See citations under working paper version above.
  3. Chirok Han & Peter C. B. Phillips & Donggyu Sul, 2017. "Lag length selection in panel autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 225-240, March.

    Cited by:

    1. Snezana Eminidou & Marios Zachariadis & Elena Andreou, 2017. "Inflation Expectations and Monetary Policy Surprises," 2017 Meeting Papers 919, Society for Economic Dynamics.
    2. ChaeWon Baek & Byoungchan Lee, 2022. "A Guide to Autoregressive Distributed Lag Models for Impulse Response Estimations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1101-1122, October.
    3. Epstein, Brendan & Finkelstein Shapiro, Alan & González Gómez, Andrés, 2019. "Global financial risk, aggregate fluctuations, and unemployment dynamics," Journal of International Economics, Elsevier, vol. 118(C), pages 351-418.
    4. Ho, Sy-Hoa & OUEGHLISSI, Rim & EL FERKTAJI, Riadh, 2019. "The dynamic causality between ESG and economic growth: Evidence from panel causality analysis," MPRA Paper 95390, University Library of Munich, Germany.
    5. Mohan, Preeya S. & Ouattara, Bazoumana & Strobl, Eric, 2018. "Decomposing the Macroeconomic Effects of Natural Disasters: A National Income Accounting Perspective," Ecological Economics, Elsevier, vol. 146(C), pages 1-9.
    6. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
    7. Zhenshan Yang & Yinghao Pan & Dongqi Sun & Li Ma, 2022. "Human Capital and International Capital Flows: Evidence from China," International Regional Science Review, , vol. 45(1), pages 74-107, January.
    8. Nektarios A. Michail & George Thucydides, 2018. "Does Housing Wealth Affect Consumption? The Case of Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 67-86, December.
    9. Ronald W. Butler & Marc S. Paolella, 2017. "Autoregressive Lag—Order Selection Using Conditional Saddlepoint Approximations," Econometrics, MDPI, vol. 5(3), pages 1-33, September.
    10. Ouyang, Yaofu & Li, Peng, 2018. "On the nexus of financial development, economic growth, and energy consumption in China: New perspective from a GMM panel VAR approach," Energy Economics, Elsevier, vol. 71(C), pages 238-252.
    11. Marios Polemidiotis & Maria C. Papageorghiou & Maria G. Mithillou, 2018. "Measuring the Competitiveness of the Cyprus Economy: the Case of Unit Labour Costs," Working Papers 2018-2, Central Bank of Cyprus.

  4. Han, Chirok, 2016. "Efficiency comparison of random effects two stage least squares estimators," Economics Letters, Elsevier, vol. 148(C), pages 59-62.

    Cited by:

    1. Ron Berman & Ayelet Israeli, 2022. "The Value of Descriptive Analytics: Evidence from Online Retailers," Marketing Science, INFORMS, vol. 41(6), pages 1074-1096, November.

  5. Phillips, Peter C.B. & Han, Chirok, 2015. "The true limit distributions of the Anderson–Hsiao IV estimators in panel autoregression," Economics Letters, Elsevier, vol. 127(C), pages 89-92.
    See citations under working paper version above.
  6. Han, Chirok & Phillips, Peter C. B. & Sul, Donggyu, 2014. "X-Differencing And Dynamic Panel Model Estimation," Econometric Theory, Cambridge University Press, vol. 30(1), pages 201-251, February.
    See citations under working paper version above.
  7. Han, Chirok & Kim, Hyoungjong, 2014. "The role of constant instruments in dynamic panel estimation," Economics Letters, Elsevier, vol. 124(3), pages 500-503.

    Cited by:

    1. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    2. Andriansyah & Asep Nurwanda & Bakhtiar Rifai, 2023. "Structural Change and Regional Economic Growth in Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 59(1), pages 91-117, January.
    3. Tue Gorgens & Allan H. Würtz, 2018. "Threshold regression with endogeneity for short panels," ANU Working Papers in Economics and Econometrics 2018-665, Australian National University, College of Business and Economics, School of Economics.
    4. Harkmann, Kersti & Staehr, Karsten, 2021. "Current account drivers and exchange rate regimes in Central and Eastern Europe," Journal of International Money and Finance, Elsevier, vol. 110(C).
    5. Chirok Han & Hyoungjong Kim, 2017. "Heteroskedasticity-Robust Standard Errors for Dynamic Panel Data Models with Fixed Effects," Discussion Paper Series 1703, Institute of Economic Research, Korea University.
    6. Tue Gørgens & Chirok Han & Sen Xue, 2019. "Moment Restrictions and Identification in Linear Dynamic Panel Data Models," Annals of Economics and Statistics, GENES, issue 134, pages 149-176.
    7. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    8. Tue Gorgens & Chirok Han & Sen Xue, 2016. "Asymptotic distributions of the quadratic GMM estimator in linear dynamic panel data models," ANU Working Papers in Economics and Econometrics 2016-635, Australian National University, College of Business and Economics, School of Economics.
    9. Sarwar, Suleman & Shahzad, Umer & Chang, Dongfeng & Tang, Biyan, 2019. "Economic and non-economic sector reforms in carbon mitigation: Empirical evidence from Chinese provinces," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 146-154.
    10. Gørgens, Tue & Han, Chirok & Xue, Sen, 2020. "On the asymptotic distribution of the quadratic GMM estimator of a dynamic panel data model under a unit root," Economics Letters, Elsevier, vol. 197(C).
    11. Chirok Han & Hyoungjong Kim, 2023. "Dynamic panel GMM estimators with improved finite sample properties using parametric restrictions for dimension reduction," Empirical Economics, Springer, vol. 64(6), pages 2589-2610, June.
    12. Kersti Harkmann & Karsten Staehr, 2019. "Current account dynamics and exchange rate regimes in Central and Eastern Europe," Bank of Estonia Working Papers wp2018-08, Bank of Estonia, revised 23 Jan 2019.

  8. Kyoung-Youn Na & Chirok Han & Chang-Ho Yoon, 2013. "Network effect of transportation infrastructure: a dynamic panel evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 265-274, February.

    Cited by:

    1. Taotao Deng, 2013. "Impacts of Transport Infrastructure on Productivity and Economic Growth: Recent Advances and Research Challenges," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 686-699, November.
    2. Yoon, Chang-Ho & Na, Kyoung-Youn, 2013. "Efficiency of transport infrastructure and ICT development," 24th European Regional ITS Conference, Florence 2013 88526, International Telecommunications Society (ITS).
    3. Na, Kyoung-Youn & Yoon, Chang-Ho, 2016. "ICT and Transport Infrastructure Development," 27th European Regional ITS Conference, Cambridge (UK) 2016 148692, International Telecommunications Society (ITS).
    4. Na, Kyoung-Youn & Yoon, Chang-ho, 2015. "ICT development and productivity of transport infrastructure," 2015 Regional ITS Conference, Los Angeles 2015 146329, International Telecommunications Society (ITS).
    5. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    6. Sedef Sen & Tugba Yilmaz, 2023. "An Econometric Analysis on the Relationship between Infrastructure and Economic Growth," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(2), pages 361-393, July.
    7. Koike, Atushi & Sakaguchi, Takuhiro & Seya, Hajime, 2022. "Road infrastructure and TFP in Japan after the rapid growth: A nonstationary panel approach," MPRA Paper 112375, University Library of Munich, Germany.
    8. Chirok Han & Hyelim Lee, 2013. "Dependence Of Economic Growth On Co2 Emissions," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(1), pages 47-57, March.
    9. Jung Yun Choi & Doo Bong Han, 2018. "The Links between Environmental Innovation and Environmental Performance: Evidence for High- and Middle-Income Countries," Sustainability, MDPI, vol. 10(7), pages 1-14, June.
    10. Muvawala, Joseph & Sebukeera, Hennery & Ssebulime, Kurayish, 2021. "Socio-economic impacts of transport infrastructure investment in Uganda: Insight from frontloading expenditure on Uganda's urban roads and highways," Research in Transportation Economics, Elsevier, vol. 88(C).

  9. Chirok Han & Hyelim Lee, 2013. "Dependence Of Economic Growth On Co2 Emissions," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(1), pages 47-57, March.

    Cited by:

    1. Omri, Anis, 2017. "Entrepreneurship, Sectoral Outputs and Environmental Improvement : International Evidence," MPRA Paper 82440, University Library of Munich, Germany.
    2. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    3. Wei Huang & Xiaoyan Lei & Ang Sun, 2015. "The Great Expectations: Impact of One-Child Policy on Education of Girls," Working Papers id:7387, eSocialSciences.
    4. Mohd Shahidan Shaari & Nor Ermawati Hussain & Hussin Abdullah & Syahida Kamil, 2014. "Relationship among Foreign Direct Investment, Economic Growth and CO2 Emission: A Panel Data Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 706-715.
    5. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.
    6. Yang, Guangfei & Sun, Tao & Wang, Jianliang & Li, Xianneng, 2015. "Modeling the nexus between carbon dioxide emissions and economic growth," Energy Policy, Elsevier, vol. 86(C), pages 104-117.
    7. Ali Acaravci & Guray Akalin, 2017. "Environment economic Growth Nexus: A Comparative Analysis of Developed and Developing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 34-43.
    8. Filip Kokotovic & Petar Kurecic & Domagoj Cingula, 2016. "The Greenhouse Gas Emission in the EU: Var Analysis of the Relevant Variables," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 2(9), pages 37-46, August.
    9. Filip Kokotovic & Petar Kurecic & Trina Mjeda, 2019. "Accomplishing the Sustainable Development Goal 13 - Climate Action and the Role of the European Union," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(1-B), pages 132-145.
    10. Tavan Mohsen, 2019. "Estimation and forecast of carbon dioxide emission in Iran: Introducing a new hybrid modelling," Journal of Economics and Management, Sciendo, vol. 36(2), pages 144-167, June.
    11. Sujan Chandra Paul & Md. Harun Or Rosid & Md. Jamil Sharif & Anjuman Ara Rajonee, 2021. "Foreign Direct Investment and CO2, CH4, N2O, Greenhouse Gas Emissions: A Cross Country Study," International Journal of Economics and Financial Issues, Econjournals, vol. 11(4), pages 97-104.
    12. MUTASCU Mihai & PEREAU Jean-Christophe & URSU Eugen, 2016. "A Wavelet Analysis of the Environmental Kuznets Curve in France," Cahiers du GREThA (2007-2019) 2016-10, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

  10. Han, Chirok & Phillips, Peter C.B., 2013. "First difference maximum likelihood and dynamic panel estimation," Journal of Econometrics, Elsevier, vol. 175(1), pages 35-45.

    Cited by:

    1. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2015. "Robust standard errors in transformed likelihood estimation of dynamic panel data models with cross-sectional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 188(1), pages 111-134.
    2. Xu Wang & Xiang Su & Ke Bi, 2023. "Achieving Synergies of Carbon Emission Reduction, Cost Savings, and Asset Investments in China’s Industrial Sector: Towards Sustainable Practices," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    3. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    5. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.
    6. Maurice J.G. Bun & Martin A. Carree & Arturas Juodis, 2014. "On Maximum Likelihood estimation of dynamic panel data models," UvA-Econometrics Working Papers 14-04, Universiteit van Amsterdam, Dept. of Econometrics.
    7. Junya Kumagai & Mihoko Wakamatsu & Shunsuke Managi, 2021. "Do commuters adapt to in-vehicle crowding on trains?," Transportation, Springer, vol. 48(5), pages 2357-2399, October.
    8. Ryo Okui, 2017. "Misspecification in Dynamic Panel Data Models and Model-Free Inferences," The Japanese Economic Review, Springer, vol. 68(3), pages 283-304, September.
    9. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
    10. Norkutė, Milda & Westerlund, Joakim, 2019. "The factor analytical method for interactive effects dynamic panel models with moving average errors," Econometrics and Statistics, Elsevier, vol. 11(C), pages 83-104.
    11. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    12. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.

  11. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.

    Cited by:

    1. Chen, Mingjing & Yan, Jingzhou, 2019. "Unbiased CCE estimator for Interactive Fixed Effects panels," Economics Letters, Elsevier, vol. 175(C), pages 1-4.
    2. Saman Banafti & Tae-Hwy Lee, 2022. "Inferential Theory for Granular Instrumental Variables in High Dimensions," Working Papers 202203, University of California at Riverside, Department of Economics.
    3. Simplice A. Asongu & Voxi H. S. Amavilah & Antonio R. Andres, 2019. "Business Dynamics, Knowledge Economy, and the Economic Performance of African Countries," Working Papers of the African Governance and Development Institute. 19/004, African Governance and Development Institute..
    4. Simplice A. Asongu, 2017. "Does Globalization Promote Good Governance in Africa? An Empirical Study Across 51 countries," Research Africa Network Working Papers 17/026, Research Africa Network (RAN).
    5. Simplice A. Asongu & Jacinta C. Nwachukwu, 2015. "Foreign aid instability and bundled governance dynamics in Africa," Research Africa Network Working Papers 15/058, Research Africa Network (RAN).
    6. Simplice A. Asongu & Antonio R. Andrés, 2019. "Trajectories of Knowledge Economy in SSA and MENA countries," Working Papers of the African Governance and Development Institute. 19/013, African Governance and Development Institute..
    7. Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
    8. Marco Avarucci & Paolo Zaffaroni, 2019. "Robust Nearly-Efficient Estimation of Large Panels with Factor Structures," Papers 1902.11181, arXiv.org.
    9. Simplice Asongu, 2015. "Conditional Determinants of Mobile Phones Penetration and Mobile Banking in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 15/043, African Governance and Development Institute..
    10. Asongu, Simplice A. & Nwachukwu, Jacinta C., 2016. "The Mobile Phone in the Diffusion of Knowledge for Institutional Quality in Sub-Saharan Africa," World Development, Elsevier, vol. 86(C), pages 133-147.
    11. Simplice Asongu & Vanessa Tchamyou, 2015. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency," Working Papers of the African Governance and Development Institute. 15/053, African Governance and Development Institute..
    12. Asongu, Simplice & Odhiambo, Nicholas, 2019. "Governance, Capital flight and Industrialisation in Africa," MPRA Paper 101923, University Library of Munich, Germany.
    13. Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 19/057, Research Africa Network (RAN).
    14. Simplice A. Asongu & Sara le Roux & Jacinta Nwachukwu & Chris Pyke, 2018. "The Mobile Phone as an Argument for Good Governance in Sub-Saharan Africa," Research Africa Network Working Papers 18/029, Research Africa Network (RAN).
    15. Nelson Mark, 2012. "Exchange Rates as Exchange Rate Common Factors," Working Papers 011, University of Notre Dame, Department of Economics, revised Mar 2012.
    16. Simplice Asongu & Jacinta Nwachukwu, 2017. "The Role of Openness in the Effect of ICT on Governance," Working Papers of the African Governance and Development Institute. 17/050, African Governance and Development Institute..
    17. 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.
    18. Simplice Asongu & Vanessa Tchamyou & Ndemaze Asongu & Nina Tchamyou, 2017. "Fighting terrorism in Africa: evidence from bundling and unbundling institutions," Working Papers of the African Governance and Development Institute. 17/047, African Governance and Development Institute..
    19. Shiyun Cao & Qiankun Zhou, 2022. "Common Correlated Effects Estimation for Dynamic Heterogeneous Panels with Non-Stationary Multi-Factor Error Structures," Econometrics, MDPI, vol. 10(3), pages 1-27, August.
    20. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    21. Jad Beyhum & Eric Gautier, 2020. "Factor and factor loading augmented estimators for panel regression," Working Papers hal-02957008, HAL.
    22. van Roye, Björn & Floro, Danvee, 2017. "Threshold effects of financial stress on monetary policy rules: a panel data analysis," Working Paper Series 2042, European Central Bank.
    23. Simplice A. Asongu & Joseph Nnanna, 2020. "Governance and the Capital Flight Trap in Africa," Working Papers of the African Governance and Development Institute. 20/024, African Governance and Development Institute..
    24. Asongu, Simplice, 2015. "Determinants of Growth in Fast Developing Countries: Evidence from Bundling and Unbundling Institutions," MPRA Paper 67310, University Library of Munich, Germany.
    25. Simplice A. Asongu & Vanessa S. Tchamyou & Ndemaze Asongu & Nina Tchamyou, 2018. "The Comparative African Economics of Governance in Fighting Terrorism," Research Africa Network Working Papers 18/055, Research Africa Network (RAN).
    26. William D. Larson, 2022. "Effects of Mortgage Interest Rates on House Price Appreciation: The Role of Payment Constraints," FHFA Staff Working Papers 22-04, Federal Housing Finance Agency.
    27. Lynn Bergeland Morgan & Peter C. B. Phillips & Donggyu Sul, 2023. "Policy Evaluation with Nonlinear Trended Outcomes: COVID-19 Vaccination Rates in the US," Cowles Foundation Discussion Papers 2380, Cowles Foundation for Research in Economics, Yale University.
    28. Nazlioglu, Saban & Kassouri, Yacouba & Kucukkaplan, Ilhan & Soytas, Ugur, 2022. "Convergence of oil consumption: A historical perspective with new concepts," Energy Policy, Elsevier, vol. 168(C).
    29. Westerlund, Joakim & Urbain, Jean-Pierre, 2013. "On the implementation and use of factor-augmented regressions in panel data," Journal of Asian Economics, Elsevier, vol. 28(C), pages 3-11.
    30. Simplice A. Asongu & Joseph Nnanna, 2019. "Foreign aid, instability and governance in Africa," Working Papers of the African Governance and Development Institute. 19/022, African Governance and Development Institute..
    31. 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.
    32. Asongu, Simplice & Nwachukwu, Jacinta, 2014. "Revolution empirics: predicting the Arab Spring," MPRA Paper 65299, University Library of Munich, Germany.
    33. Simplice A. Asongu & Joseph Nnanna & Vanessa S. Tchamyou, 2019. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency: Pre-Crisis Era Revisited," Working Papers of the African Governance and Development Institute. 19/085, African Governance and Development Institute..
    34. 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.
    35. Westerlund, Joakim & Reese, Simon, 2014. "Estimation of Factor-Augmented Panel Regressions with Weakly Influential Factors," Working Papers 2014:8, Lund University, Department of Economics, revised 27 Jan 2014.
    36. Jörg Breitung & Philipp Hansen, 2021. "Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 60(1), pages 327-351, January.
    37. Simplice A. Asongu & Uchenna R. Efobi & Vanessa S. Tchamyou, 2016. "Globalization and Governance: A Critical Contribution to the Empirics," Research Africa Network Working Papers 16/017, Research Africa Network (RAN).
    38. Simplice A. Asongu & Joseph I. Uduji & Elda N. Okolo-Obasi, 2019. "Foreign aid volatility and lifelong learning," Working Papers 19/086, European Xtramile Centre of African Studies (EXCAS).
    39. Simplice A. Asongu & Jacinta C. Nwachukwu, 2017. "Fighting Capital Flight in Africa: Evidence from Bundling and Unbundling Governance," Journal of Industry, Competition and Trade, Springer, vol. 17(3), pages 305-323, September.
    40. 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.
    41. Westerlund, Joakim & Petrova, Yana, 2018. "Asymptotic collinearity in CCE estimation of interactive effects models," Economic Modelling, Elsevier, vol. 70(C), pages 331-337.
    42. Khusrav Gaibulloev & Todd Sandler & Donggyu Sul, "undated". "Reevaluating Terrorism and Economic Growth: Dynamic Panel Analysis and Cross-Sectional Dependence," Economics Working Papers 02-03/2013, School of Business Administration, American University of Sharjah.
    43. Westerlund, J. & Urbain, J.R.Y.J., 2011. "Cross sectional averages or principal components?," Research Memorandum 053, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    44. Simplice Asongu & Vanessa Tchamyou, 2015. "Foreign aid, education and lifelong learning in Africa," Working Papers of the African Governance and Development Institute. 15/047, African Governance and Development Institute..
    45. Su, Liangjun & Jin, Sainan & Zhang, Yonghui, 2015. "Specification test for panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 186(1), pages 222-244.
    46. Yoonseok Lee & Donggyu Sul, 2021. "Trimmed Mean Group Estimation," Center for Policy Research Working Papers 237, Center for Policy Research, Maxwell School, Syracuse University.
    47. Simplice Asongu & Jacinta C. Nwachukwu, 2015. "Drivers of FDI in Fast Growing Developing Countries: Evidence from Bundling and Unbundling Governance," Working Papers of the African Governance and Development Institute. 15/001, African Governance and Development Institute..
    48. Simplice A. Asongu & Samba Diop, 2022. "Resource Rents and Economic Growth: Governance and Infrastructure Thresholds," Working Papers of the African Governance and Development Institute. 22/072, African Governance and Development Institute..
    49. Asongu, Simplice & Nwachukwu, Jacinta, 2015. "The incremental effect of education on corruption: evidence of synergy from lifelong learning," MPRA Paper 69439, University Library of Munich, Germany.
    50. Su, Liangjun & Ju, Gaosheng, 2018. "Identifying latent grouped patterns in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 554-573.
    51. Mr. Salvatore Dell'Erba & Mr. Sergio Sola, 2013. "Does Fiscal Policy Affect Interest Rates? Evidence from a Factor-Augmented Panel," IMF Working Papers 2013/159, International Monetary Fund.
    52. Ying Liao & Cuixia Li & Lei Jiang & Liang Peng, 2021. "Quantifying Diseconomies Of Scale For Mutual Funds," Annals of Economics and Finance, Society for AEF, vol. 22(1), pages 1-24, May.
    53. Rodríguez-Caballero, Carlos Vladimir, 2022. "Energy consumption and GDP: a panel data analysis with multi-level cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 23(C), pages 128-146.
    54. Jin, Yan & Gardebroek, Cornelis & Heerink, Nico, 2023. "The Impact of Chinese Rice Support Policies on Rice Acreages," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334550, Agricultural Economics Society - AES.
    55. Juodis, Artūras & Karabiyik, Hande & Westerlund, Joakim, 2021. "On the robustness of the pooled CCE estimator," Journal of Econometrics, Elsevier, vol. 220(2), pages 325-348.
    56. Jad Beyhum, 2024. "Counterfactuals in factor models," Papers 2401.03293, arXiv.org.
    57. Bada, Oualid & Liebl, Dominik, 2014. "phtt: Panel Data Analysis with Heterogeneous Time Trends in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i06).
    58. Westerlund, Joakim & Urbain, Jean-Pierre, 2015. "Cross-sectional averages versus principal components," Journal of Econometrics, Elsevier, vol. 185(2), pages 372-377.
    59. Hou, Lei & Li, Kunpeng & Li, Qi & Ouyang, Min, 2021. "Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks," Journal of Econometrics, Elsevier, vol. 221(2), pages 483-509.

  12. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Estimating the number of common factors in serially dependent approximate factor models," Economics Letters, Elsevier, vol. 116(3), pages 531-534.

    Cited by:

    1. Ryan Greenaway-McGrevy & Arthur Grimes & Mark Holmes, 2016. "Two Countries, Sixteen Cities, Five Thousand Kilometres: How Many Housing Markets?," Working Papers 16_04, Motu Economic and Public Policy Research.
    2. Pegoraro, F. & Siegel, A. F. & Tiozzo Pezzoli, L., 2014. "Specification Analysis of International Treasury Yield Curve Factors," Working papers 490, Banque de France.
    3. 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.
    4. Bada, Oualid & Kneip, Alois, 2014. "Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 95-115.
    5. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    6. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    7. Jiahe Lin & George Michailidis, 2019. "Approximate Factor Models with Strongly Correlated Idiosyncratic Errors," Papers 1912.04123, arXiv.org.

  13. Han, Chirok & Phillips, Peter C. B. & Sul, Donggyu, 2011. "Uniform Asymptotic Normality In Stationary And Unit Root Autoregression," Econometric Theory, Cambridge University Press, vol. 27(6), pages 1117-1151, December.
    See citations under working paper version above.
  14. Han, Chirok & Cho, Jin Seo & Phillips, Peter C. B., 2011. "Infinite Density at the Median and the Typical Shape of Stock Return Distributions," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 282-294.
    See citations under working paper version above.
  15. Han, Chirok & Kim, Beomsoo, 2011. "A GMM interpretation of the paradox in the inverse probability weighting estimation of the average treatment effect on the treated," Economics Letters, Elsevier, vol. 110(2), pages 163-165, February.

    Cited by:

    1. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    2. Habimana, Dominique & Haughton, Jonathan & Nkurunziza, Joseph & Haughton, Dominique Marie-Annick, 2021. "Measuring the impact of unconditional cash transfers on consumption and poverty in Rwanda," World Development Perspectives, Elsevier, vol. 23(C).
    3. Yuriy Gorodnichenko & Anna Mikusheva & Serena Ng, 2011. "Estimators for Persistent and Possibly Non-Stationary Data with Classical Properties," NBER Working Papers 17424, National Bureau of Economic Research, Inc.
    4. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
    5. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.

  16. Cho, Jin Seo & Han, Chirok & Phillips, Peter C.B., 2010. "Lad Asymptotics Under Conditional Heteroskedasticity With Possibly Infinite Error Densities," Econometric Theory, Cambridge University Press, vol. 26(3), pages 953-962, June.
    See citations under working paper version above.
  17. Han, Chirok & Phillips, Peter C. B., 2010. "Gmm Estimation For Dynamic Panels With Fixed Effects And Strong Instruments At Unity," Econometric Theory, Cambridge University Press, vol. 26(1), pages 119-151, February.
    See citations under working paper version above.
  18. Han, Chirok, 2008. "Detecting invalid instruments using L1-GMM," Economics Letters, Elsevier, vol. 101(3), pages 285-287, December.

    Cited by:

    1. Xiaoran Liang & Eleanor Sanderson & Frank Windmeijer, 2022. "Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator," Papers 2208.05278, arXiv.org.
    2. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2016. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Bristol Economics Discussion Papers 16/674, School of Economics, University of Bristol, UK, revised 08 Aug 2017.
    3. Nicolas Apfel & Helmut Farbmacher & Rebecca Groh & Martin Huber & Henrika Langen, 2022. "Detecting Grouped Local Average Treatment Effects and Selecting True Instruments," Papers 2207.04481, arXiv.org, revised Oct 2023.
    4. Yiqi Lin & Frank Windmeijer & Xinyuan Song & Qingliang Fan, 2022. "On the instrumental variable estimation with many weak and invalid instruments," Papers 2207.03035, arXiv.org, revised Dec 2023.
    5. Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
    6. Nicolas Apfel, 2019. "Relaxing the Exclusion Restriction in Shift-Share Instrumental Variable Estimation," Papers 1907.00222, arXiv.org, revised Jul 2022.

  19. Phillips, Peter C.B. & Han, Chirok, 2008. "Gaussian Inference In Ar(1) Time Series With Or Without A Unit Root," Econometric Theory, Cambridge University Press, vol. 24(3), pages 631-650, June.
    See citations under working paper version above.
  20. Han, Chirok, 2007. "Determinants Of Covariance Matrices Of Differenced Ar(1) Processes," Econometric Theory, Cambridge University Press, vol. 23(6), pages 1248-1253, December.

    Cited by:

    1. Han, Chirok & Phillips, Peter C.B., 2013. "First difference maximum likelihood and dynamic panel estimation," Journal of Econometrics, Elsevier, vol. 175(1), pages 35-45.

  21. Chirok Han & Peter C. B. Phillips, 2006. "GMM with Many Moment Conditions," Econometrica, Econometric Society, vol. 74(1), pages 147-192, January.
    See citations under working paper version above.
  22. Han, Chirok & Orea, Luis & Schmidt, Peter, 2005. "Estimation of a panel data model with parametric temporal variation in individual effects," Journal of Econometrics, Elsevier, vol. 126(2), pages 241-267, June.
    See citations under working paper version above.
  23. de Jong, Robert & Han, Chirok, 2002. "THE PROPERTIES OF Lp-GMM ESTIMATORS," Econometric Theory, Cambridge University Press, vol. 18(2), pages 491-504, April.

    Cited by:

    1. Han, Chirok, 2008. "Detecting invalid instruments using L1-GMM," Economics Letters, Elsevier, vol. 101(3), pages 285-287, December.
    2. Pierre Chausse & Dinghai Xu, 2012. "GMM Estimation of a Stochastic Volatility Model with Realized Volatility: A Monte Carlo Study," Working Papers 1203, University of Waterloo, Department of Economics, revised May 2012.

  24. Han, Chirok & Schmidt, Peter, 2001. "The asymptotic distribution of the instrumental variable estimators when the instruments are not correlated with the regressors," Economics Letters, Elsevier, vol. 74(1), pages 61-66, December.

    Cited by:

    1. Breusch, Trevor & Ward, Michael B. & Nguyen, Hoa Thi Minh & Kompas, Tom, 2011. "On the Fixed-Effects Vector Decomposition," Political Analysis, Cambridge University Press, vol. 19(2), pages 123-134, April.
    2. Christian Durán, 2004. "Evaluación microeconométrica de las políticas públicas de empleo: aspectos metodológicos," Hacienda Pública Española / Review of Public Economics, IEF, vol. 170(3), pages 107-133, september.

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