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Hyungsik Roger Moon

Citations

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

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Author Profile
    1. REPEC's Rankings of USC Economics
      by Matthew Kahn in Environmental and Urban Economics on 2018-01-21 18:23:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Benoit Perron & Hyungsik Roger Moon, 2007. "An empirical analysis of nonstationarity in a panel of interest rates with factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 383-400.

    Mentioned in:

    1. An empirical analysis of nonstationarity in a panel of interest rates with factors (Journal of Applied Econometrics 2007) in ReplicationWiki ()

Working papers

  1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," NBER Working Papers 26569, National Bureau of Economic Research, Inc.

    Cited by:

    1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg-Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Working Papers 2022-27, Princeton University. Economics Department..
    3. Hyeongwoo Kim & Jisoo Son, 2023. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," Auburn Economics Working Paper Series auwp2023-06, Department of Economics, Auburn University.
    4. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, C.E.P.R. Discussion Papers.
    5. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    6. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    7. Xin Sheng & Rangan Gupta & Qiang Ji, 2020. "Forecasting Charge-Off Rates with a Panel Tobit Model: The Role of Uncertainty," Working Papers 202092, University of Pretoria, Department of Economics.
    8. James A. Duffy & Sophocles Mavroeidis & Sam Wycherley, 2022. "Cointegration with Occasionally Binding Constraints," Papers 2211.09604, arXiv.org, revised Jul 2023.
    9. Boyuan Zhang, 2020. "Forecasting with Bayesian Grouped Random Effects in Panel Data," Papers 2007.02435, arXiv.org, revised Oct 2020.
    10. Anna Bykhovskaya & James A. Duffy, 2022. "The Local to Unity Dynamic Tobit Model," Papers 2210.02599, arXiv.org, revised Feb 2023.
    11. Zuoxiang Zhao & Hongjun Sun & Ding Han & Qiuyun Zhao, 2023. "Development strategy, technological progress, and regional environmental performance: empirical evidence from China," Economic Change and Restructuring, Springer, vol. 56(5), pages 3701-3732, October.
    12. Brezigar-Masten, Arjana & Masten, Igor & Volk, Matjaž, 2021. "Modelin-g credit risk with a Tobit model of days past due," Journal of Banking & Finance, Elsevier, vol. 122(C).

  2. Michael P. Leung & Hyungsik Roger Moon, 2019. "Normal Approximation in Large Network Models," Papers 1904.11060, arXiv.org, revised Feb 2023.

    Cited by:

    1. Shuyang Sheng & Xiaoting Sun, 2023. "Social Interactions with Endogenous Group Formation," Papers 2306.01544, arXiv.org.
    2. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    3. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    4. Michael P. Leung, 2022. "Dependence‐robust inference using resampled statistics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 270-285, March.
    5. Toru Kitagawa & Guanyi Wang, 2020. "Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network," Papers 2012.04055, arXiv.org, revised Jul 2021.
    6. Toru Kitagawa & Guanyi Wang, 2020. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP59/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Nathan Canen & Ko Sugiura, 2022. "Inference in Linear Dyadic Data Models with Network Spillovers," Papers 2203.03497, arXiv.org, revised Jun 2023.
    9. Leung, Michael P., 2019. "A weak law for moments of pairwise stable networks," Journal of Econometrics, Elsevier, vol. 210(2), pages 310-326.

  3. Hyungsik Roger Moon & Martin Weidner, 2019. "Nuclear norm regularized estimation of panel regression models," CeMMAP working papers CWP14/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. 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.
    2. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    3. Miao, Ke & Phillips, Peter C.B. & Su, Liangjun, 2023. "High-dimensional VARs with common factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 155-183.
    4. Vogt, M. & Walsh, C. & Linton, O., 2022. "CCE Estimation of High-Dimensional Panel Data Models with Interactive Fixed Effects," Cambridge Working Papers in Economics 2242, Faculty of Economics, University of Cambridge.
    5. Pigini, Claudia & Pionati, Alessandro & Valentini, Francesco, 2023. "Specification testing with grouped fixed effects," MPRA Paper 117821, University Library of Munich, Germany.
    6. Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," The Warwick Economics Research Paper Series (TWERPS) 1230, University of Warwick, Department of Economics.
    7. Luca Margaritella & Joakim Westerlund, 2023. "Using information criteria to select averages in CCE," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 405-421.
    8. Martin Mugnier, 2022. "A Simple and Computationally Trivial Estimator for Grouped Fixed Effects Models," Papers 2203.08879, arXiv.org, revised Dec 2023.
    9. Denis Chetverikov & Elena Manresa, 2022. "Spectral and post-spectral estimators for grouped panel data models," Papers 2212.13324, arXiv.org, revised Dec 2022.
    10. Vogt, M. & Walsh, C. & Linton, O., 2022. "CCE Estimation of High-Dimensional Panel Data Models with Interactive Fixed Effects," Janeway Institute Working Papers 2218, Faculty of Economics, University of Cambridge.
    11. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    12. Michael Vogt & Christopher Walsh & Oliver Linton, 2022. "CCE Estimation of High-Dimensional Panel Data Models with Interactive Fixed Effects," Papers 2206.12152, arXiv.org.
    13. Martin Mugnier, 2022. "Make the Difference! computationally Trivial Estimators for Grouped Fixed Effects Models," Working Papers 2022-07, Center for Research in Economics and Statistics.
    14. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.

  4. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Forecasting with Dynamic Panel Data Models," NBER Working Papers 25102, National Bureau of Economic Research, Inc.

    Cited by:

    1. Mihaela Simionescu & Javier Cifuentes-Faura, 2022. "Forecasting National and Regional Youth Unemployment in Spain Using Google Trends," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1187-1216, December.
    2. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    3. Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    4. Andrew Y. Chen & Tom Zimmermann, 2018. "Publication Bias and the Cross-Section of Stock Returns," Finance and Economics Discussion Series 2018-033, Board of Governors of the Federal Reserve System (U.S.).
    5. Hyungsik Roger Moon & Frank Schorfheide & Boyuan Zhang, 2023. "Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity," PIER Working Paper Archive 23-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. Laura Liu & Hyungsik Moon & Frank Schorfheide, 2016. "Forecasting with Dynamic Panel Data Models," PIER Working Paper Archive 16-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 21 Dec 2016.
    7. Chinco, Alex & Neuhierl, Andreas & Weber, Michael, 2021. "Estimating the anomaly base rate," Journal of Financial Economics, Elsevier, vol. 140(1), pages 101-126.
    8. Seoyoung Yu & Donghyun Kim, 2021. "Changes in Regional Economic Resilience after the 2008 Global Economic Crisis: The Case of Korea," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    9. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, C.E.P.R. Discussion Papers.
    10. 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.
    11. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    12. Randal Verbrugge & Alan Dorfman & William Johnson & Fred Marsh III & Robert Poole & Owen Shoemaker, 2017. "Determinants of Differential Rent Changes: Mean Reversion versus the Usual Suspects," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(3), pages 591-627, July.
    13. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    14. Pengyu Chen & Yiannis Karavias & Elias Tzavalis, 2021. "Panel Unit Root Tests with Structural Breaks," London Stata Conference 2021 19, Stata Users Group.
    15. Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023. "A Robust Method for Microforecasting and Estimation of Random Effects," Working Paper Series WP 2023-26, Federal Reserve Bank of Chicago.
    16. Lin, Jilei & Eck, Daniel J., 2021. "Minimizing post-shock forecasting error through aggregation of outside information," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1710-1727.
    17. Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2020. "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers 202040, University of Pretoria, Department of Economics.
    18. Laura Liu, 2017. "Density Forecasts in Panel Models: A semiparametric Bayesian Perspective," PIER Working Paper Archive 17-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Apr 2017.
    19. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," PIER Working Paper Archive 20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
      • Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    20. Andrew Y. Chen, 2022. "Do t-Statistic Hurdles Need to be Raised?," Papers 2204.10275, arXiv.org, revised Apr 2024.
    21. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
    22. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    23. Andrew Y. Chen & Mihail Velikov, 2020. "Zeroing in on the Expected Returns of Anomalies," Finance and Economics Discussion Series 2020-039, Board of Governors of the Federal Reserve System (U.S.).

  5. Seungwoo Chin & Matthew E. Kahn & Hyungsik Roger Moon, 2017. "Estimating the Gains from New Rail Transit Investment: A Machine Learning Tree Approach," NBER Working Papers 23326, National Bureau of Economic Research, Inc.

    Cited by:

    1. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    2. Bailey, Michael & Farrell, Patrick & Kuchler, Theresa & Stroebel, Johannes, 2020. "Social connectedness in urban areas," Journal of Urban Economics, Elsevier, vol. 118(C).
    3. Wei He & Ruqing Zhao & Shu Gao, 2024. "Exploring the Impact of Multimodal Access on Property and Land Economies in Shanghai’s Inner Ring Districts: Leveraging Advanced Spatial Analysis Techniques," Land, MDPI, vol. 13(3), pages 1-19, February.
    4. E. V. Leontev & I. A. Mayburov, 2021. "Realization of the Benefits from the Functioning of Municipal Electric Transport in the Taxation of the Property of Individuals," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(3), pages 406-427.
    5. Hua Chen & Jianing Xing & Xiaoxu Yang & Kai Zhan, 2021. "Heterogeneous Effects of Health Insurance on Rural Children’s Health in China: A Causal Machine Learning Approach," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    6. Zachary T. Keeler & Heather M. Stephens, 2023. "The capitalization of metro rail access in urban housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(3), pages 686-720, May.

  6. Ida Johnsson & Hyungsik Roger Moon, 2017. "Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach," Papers 1709.10024, arXiv.org, revised Jul 2019.

    Cited by:

    1. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    2. Michael P. Leung, 2019. "Inference in Models of Discrete Choice with Social Interactions Using Network Data," Papers 1911.07106, arXiv.org.
    3. Koen Jochmans, 2023. "Peer effects and endogenous social interactions," Post-Print hal-04164668, HAL.
    4. Kojevnikov, Denis & Marmer, Vadim & Song, Kyungchul, 2021. "Limit theorems for network dependent random variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 882-908.
    5. Wayne Yuan Gao, 2017. "Nonparametric Identification in Index Models of Link Formation," Papers 1710.11230, arXiv.org, revised May 2018.
    6. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    7. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    8. Chih-Sheng Hsieh & Michael D. Konig & Xiaodong Liu, 2022. "A Structural Model for the Coevolution of Networks and Behavior," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 355-367, May.
    9. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    10. Tomoya Mori & Shosei Sakaguchi, 2019. "Creation of knowledge through exchanges of knowledge: Evidence from Japanese patent data," Papers 1908.01256, arXiv.org, revised Aug 2020.
    11. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.

  7. Hyungsik Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP35/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. 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.
    3. Boehm, Johannes, 2015. "The impact of contract enforcement costs onoutsourcing and aggregate productivity," LSE Research Online Documents on Economics 64997, London School of Economics and Political Science, LSE Library.
    4. Tingting Cheng & Chaohua Dong & Jiti Gao & Oliver Linton, 2022. "GMM Estimation for High-Dimensional Panel Data Models," Monash Econometrics and Business Statistics Working Papers 11/22, Monash University, Department of Econometrics and Business Statistics.
    5. Ando, Tomohiro & Bai, Jushan & Li, Kunpeng, 2022. "Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 230(1), pages 20-38.
    6. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    7. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    8. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
    9. Johannes Boehm & Ezra Oberfield, 2020. "Misallocation in the Market for Inputs: Enforcement and the Organization of Production," Post-Print hal-03391855, HAL.
    10. Su, Liangjun & Wang, Xia, 2017. "On time-varying factor models: Estimation and testing," Journal of Econometrics, Elsevier, vol. 198(1), pages 84-101.
    11. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers CWP04/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Nicholas Brown & Kyle Butts & Joakim Westerlund, 2023. "Simple Difference-in-Differences Estimation in Fixed-T Panels," Papers 2301.11358, arXiv.org, revised Jun 2023.
    13. Bin Peng & Liangjun Su & Joakim Westerlund & Yanrong Yang, 2021. "Interactive Effects Panel Data Models with General Factors and Regressors," Papers 2111.11506, arXiv.org.
    14. Wang,Dieter, 2021. "Natural Capital and Sovereign Bonds," Policy Research Working Paper Series 9606, The World Bank.
    15. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    16. Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2021. "Bridging factor and sparse models," Papers 2102.11341, arXiv.org, revised Sep 2022.
    17. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Fei Liu & Jiti Gao & Yanrong Yang, 2019. "Nonparametric Estimation in Panel Data Models with Heterogeneity and Time Varyingness," Monash Econometrics and Business Statistics Working Papers 24/19, Monash University, Department of Econometrics and Business Statistics.
    19. Otilia Boldea & Bettina Drepper & Zhuojiong Gan, 2020. "Change point estimation in panel data with time‐varying individual effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 712-727, September.
    20. Hyungsik Roger Moon & Martin Weidner, 2019. "Nuclear norm regularized estimation of panel regression models," CeMMAP working papers CWP14/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    22. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2016. "The Identification and Estimation of a Large Factor Model with Structural Instability," Center for Policy Research Working Papers 194, Center for Policy Research, Maxwell School, Syracuse University.
    23. Jiti Gao & Bin Peng & Yayi Yan, 2022. "Nonparametric Estimation and Testing for Time-Varying VAR Models," Monash Econometrics and Business Statistics Working Papers 3/22, Monash University, Department of Econometrics and Business Statistics.
    24. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "Estimation of large dimensional conditional factor models in finance," Working Papers unige:125031, University of Geneva, Geneva School of Economics and Management.
    25. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    26. Stefano Giglio & Dacheng Xiu, 2017. "Inference on Risk Premia in the Presence of Omitted Factors," NBER Working Papers 23527, National Bureau of Economic Research, Inc.
    27. Nicholas Brown & Joakim Westerlund, 2022. "Testing Factors In Cce," Working Paper 1491, Economics Department, Queen's University.
    28. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    29. 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.
    30. Christian Hansen & Yuan Liao, 2016. "The Factor-Lasso and K-Step Bootstrap Approach for Inference in High-Dimensional Economic Applications," Papers 1611.09420, arXiv.org, revised Dec 2016.
    31. Laurent Gobillon & François-Charles Wolff, 2017. "The local effects of an innovation: Evidence from the French fish market," Working Papers halshs-01431160, HAL.
    32. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Huang, Wenxin & Jin, Sainan & Phillips, Peter C.B. & Su, Liangjun, 2021. "Nonstationary panel models with latent group structures and cross-section dependence," Journal of Econometrics, Elsevier, vol. 221(1), pages 198-222.
    34. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    35. Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2020. "Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2012.03182, arXiv.org, revised Nov 2021.
    36. Markus Eberhardt & Francis Teal, 2017. "The Magnitude of the Task Ahead: Macro Implications of Heterogeneous Technology," Discussion Papers 2017-16, University of Nottingham, GEP.
    37. Lucciano Villacorta, 2016. "Estimating Country Heterogeneity in Capital - Labor Substitution Using Panel Data," Working Papers Central Bank of Chile 788, Central Bank of Chile.
    38. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-Varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," ECONtribute Discussion Papers Series 083, University of Bonn and University of Cologne, Germany.
    39. Saman Banafti & Tae-Hwy Lee, 2022. "Inferential Theory for Granular Instrumental Variables in High Dimensions," Papers 2201.06605, arXiv.org, revised Sep 2023.
    40. Stauskas, Ovidijus & De Vos, Ignace, 2024. "Handling Distinct Correlated Effects with CCE," MPRA Paper 120194, University Library of Munich, Germany.
    41. Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023. "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, vol. 233(1), pages 237-250.
    42. 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.
    43. Yufeng Mao & Bin Peng & Mervyn Silvapulle & Param Silvapulle & Yanrong Yang, 2021. "Decomposition of Bilateral Trade Flows Using a Three-Dimensional Panel Data Model," Papers 2101.06805, arXiv.org.
    44. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
    45. Vogt, M. & Walsh, C. & Linton, O., 2022. "CCE Estimation of High-Dimensional Panel Data Models with Interactive Fixed Effects," Cambridge Working Papers in Economics 2242, Faculty of Economics, University of Cambridge.
    46. Edith Aguirre, 2019. "Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-24, December.
    47. 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.
    48. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    49. Sainan Jin & Liangjun Su & Yonghui Zhang, 2015. "Nonparametric testing for anomaly effects in empirical asset pricing models," Empirical Economics, Springer, vol. 48(1), pages 9-36, February.
    50. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2023. "Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects," Empirical Economics, Springer, vol. 64(6), pages 2611-2659, June.
    51. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    52. Harouna Sedgo & Luc-Désiré Omgba, 2021. "Corruption and distortion of public expenditures: Evidence from Africa," Working Papers hal-04159761, HAL.
    53. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    54. Zhenhao Gong & Min Seong Kim, 2024. "Policy Analysis Using Multilevel Regression Models with Group Interactive Fixed Effects," Working papers 2024-01, University of Connecticut, Department of Economics.
    55. Yana Petrova & Joakim Westerlund, 2020. "Fixed effects demeaning in the presence of interactive effects in treatment effects regressions and elsewhere," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 960-964, November.
    56. Chan, Mark K. & Kwok, Simon, 2016. "Policy Evaluation with Interactive Fixed Effects," Working Papers 2016-11, University of Sydney, School of Economics.
    57. Lu'is A. V. Cat~ao & Jan Ditzen & Daniel Marcel te Kaat, 2023. "Global Factors in Non-core Bank Funding and Exchange Rate Flexibility," Papers 2310.11552, arXiv.org, revised Jan 2024.
    58. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
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  8. Hyungsik Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP47/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Jonathan R. W. Temple & Nicolas Van de Sijpe, 2014. "Foreign Aid and Domestic Absorption," CSAE Working Paper Series 2014-01, Centre for the Study of African Economies, University of Oxford.
    4. Tingting Cheng & Chaohua Dong & Jiti Gao & Oliver Linton, 2022. "GMM Estimation for High-Dimensional Panel Data Models," Monash Econometrics and Business Statistics Working Papers 11/22, Monash University, Department of Econometrics and Business Statistics.
    5. Jushan Bai & Serena Ng, 2021. "Approximate Factor Models with Weaker Loadings," Papers 2109.03773, arXiv.org, revised Mar 2023.
    6. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    7. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    8. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Miao, Ke & Phillips, Peter C.B. & Su, Liangjun, 2023. "High-dimensional VARs with common factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 155-183.
    10. Wang,Dieter, 2021. "Natural Capital and Sovereign Bonds," Policy Research Working Paper Series 9606, The World Bank.
    11. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    12. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2015. "Is there a debt-threshold effect on output growth?," Globalization Institute Working Papers 245, Federal Reserve Bank of Dallas.
    13. Marco Alfò & Maria Francesca Marino & Maria Giovanna Ranalli & Nicola Salvati & Nikos Tzavidis, 2021. "M‐quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 122-146, January.
    14. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    15. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    17. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
    18. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    19. 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.
    20. 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.
    21. Antonia Arsova, 2019. "Exchange rate pass-through to import prices in Europe: A panel cointegration approach," Working Paper Series in Economics 384, University of Lüneburg, Institute of Economics.
    22. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Huang, Wenxin & Jin, Sainan & Phillips, Peter C.B. & Su, Liangjun, 2021. "Nonstationary panel models with latent group structures and cross-section dependence," Journal of Econometrics, Elsevier, vol. 221(1), pages 198-222.
    24. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    25. Jin, Sainan & Miao, Ke & Su, Liangjun, 2021. "On factor models with random missing: EM estimation, inference, and cross validation," Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
    26. 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.
    27. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    28. Westerlund, Joakim & Petrova, Yana, 2018. "Asymptotic collinearity in CCE estimation of interactive effects models," Economic Modelling, Elsevier, vol. 70(C), pages 331-337.
    29. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    30. Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Lena Körber & Oliver Linton & Michael Vogt, 2014. "The Effect of Fragmentation in Trading on Market Quality in the UK Equity Market," Cambridge Working Papers in Economics 1454, Faculty of Economics, University of Cambridge.
    32. Sainan Jin & Liangjun Su & Yonghui Zhang, 2015. "Nonparametric testing for anomaly effects in empirical asset pricing models," Empirical Economics, Springer, vol. 48(1), pages 9-36, February.
    33. Jushan Bai, 2023. "Efficiency of QMLE for dynamic panel data models with interactive effects," Papers 2312.07881, arXiv.org.
    34. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2020. "IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude," Monash Econometrics and Business Statistics Working Papers 11/20, Monash University, Department of Econometrics and Business Statistics.
    35. Iv'an Fern'andez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-Rank Approximations of Nonseparable Panel Models," Papers 2010.12439, arXiv.org, revised Mar 2021.
    36. Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
    37. Kuzman, Tanja & Lazarevic, Jelisaveta & Nedeljkovic, Milan, 2022. "Capital flows liberalisation and macroprudential policies: The effects on credit cycles in emerging economies," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 602-619.
    38. Yiren Wang & Peter C. B. Phillips & Liangjun Su, 2023. "Panel Data Models with Time-Varying Latent Group Structures," Cowles Foundation Discussion Papers 2364, Cowles Foundation for Research in Economics, Yale University.
    39. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    40. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
    41. 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.
    42. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    43. Sinem Hacıoğlu Hoke & George Kapetanios, 2021. "Common correlated effect cross‐sectional dependence corrections for nonlinear conditional mean panel models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 125-150, January.
    44. Jelisaveta Lazarevic & Tanja Kuzman & Milan Nedeljkovic, 2022. "Credit cycles and macroprudential policies in emerging market economies," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 633-666, September.
    45. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Papers 2208.03632, arXiv.org, revised Apr 2023.
    46. 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.
    47. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    48. Anish Agarwal & Vasilis Syrgkanis, 2022. "Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime," Papers 2210.11003, arXiv.org.
    49. Bai, Jushan & Li, Kunpeng, 2021. "Dynamic spatial panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 224(1), pages 134-160.
    50. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    51. Anish Agarwal & Keegan Harris & Justin Whitehouse & Zhiwei Steven Wu, 2023. "Adaptive Principal Component Regression with Applications to Panel Data," Papers 2307.01357, arXiv.org, revised Oct 2023.
    52. Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.
    53. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2013. "Debt, Inflation and Growth: Robust Estimation of Long-Run Effects in Dynamic Panel Data Models," Cambridge Working Papers in Economics 1350, Faculty of Economics, University of Cambridge.
    54. Totty, Evan, 2015. "The Effect of Minimum Wages on Employment: A Factor Model Approach," Institute for Research on Labor and Employment, Working Paper Series qt2b26n60q, Institute of Industrial Relations, UC Berkeley.
    55. Simon Freyaldenhoven, 2021. "Factor Models with Local Factors—Determining the Number of Relevant Factors," Working Papers 21-15, Federal Reserve Bank of Philadelphia.
    56. 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.
    57. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    58. Ignace De Vos & Gerdie Everaert, 2016. "Bias-Corrected Common Correlated Effects Pooled Estimation In Homogeneous Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/920, Ghent University, Faculty of Economics and Business Administration.
    59. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2023. "IV estimation of spatial dynamic panels with interactive effects: large sample theory and an application on bank attitude towards risk," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 124-146.
    60. Robertson, Donald & Sarafidis, Vasilis & Symons, James, 2010. "IV Estimation of Panels with Factor Residuals," MPRA Paper 26166, University Library of Munich, Germany.
    61. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    62. Michał Marcin Kobierecki & Michał Pierzgalski, 2022. "Sports Mega-Events and Economic Growth: A Synthetic Control Approach," Journal of Sports Economics, , vol. 23(5), pages 567-597, June.
    63. Li, Kunpeng & Cui, Guowei & Lu, Lina, 2020. "Efficient estimation of heterogeneous coefficients in panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 216(2), pages 327-353.
    64. 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.
    65. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    66. Bai, Jushan, 2013. "Likelihood approach to dynamic panel models with interactive effects," MPRA Paper 50267, University Library of Munich, Germany.
    67. Grigory Franguridi & Hyungsik Roger Moon, 2019. "A Uniform Bound on the Operator Norm of Sub-Gaussian Random Matrices and Its Applications," Papers 1905.01096, arXiv.org, revised Apr 2021.
    68. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.
    69. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    70. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    71. Hacioglu Hoke, Sinem & Kapetanios, George, 2017. "Common correlated effect cross-sectional dependence corrections for non-linear conditional mean panel models," Bank of England working papers 683, Bank of England.
    72. 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.
    73. 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.
    74. Keegan Harris & Anish Agarwal & Chara Podimata & Zhiwei Steven Wu, 2022. "Strategyproof Decision-Making in Panel Data Settings and Beyond," Papers 2211.14236, arXiv.org, revised Dec 2023.
    75. Cheng, Tingting & Gao, Jiti & Yan, Yayi, 2019. "Regime switching panel data models with interactive fixed effects," Economics Letters, Elsevier, vol. 177(C), pages 47-51.
    76. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    77. Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
    78. Georg Keilbar & Juan M. Rodriguez-Poo & Alexandra Soberon & Weining Wang, 2022. "A semiparametric approach for interactive fixed effects panel data models," Papers 2201.11482, arXiv.org, revised Mar 2023.
    79. Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 32/14, Institute for Fiscal Studies.
    80. Antonia Arsova, 2021. "Exchange rate pass-through to import prices in Europe: a panel cointegration approach," Empirical Economics, Springer, vol. 61(1), pages 61-100, July.
    81. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2015. "Long-Run Effects in Large Heterogenous Panel Data Models with Cross-Sectionally Correlated Errors," Cambridge Working Papers in Economics 1501, Faculty of Economics, University of Cambridge.
    82. Cheng Hsiao & Yimeng Xie & Qiankun Zhou, 2021. "Factor dimension determination for panel interactive effects models: an orthogonal projection approach," Computational Statistics, Springer, vol. 36(2), pages 1481-1497, June.
    83. Ayden Higgins, 2021. "Fixed $T$ Estimation of Linear Panel Data Models with Interactive Fixed Effects," Papers 2110.05579, arXiv.org.
    84. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    85. Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
    86. Haruo Iwakura & Ryo Okui, 2014. "Asymptotic Efficiency in Factor Models and Dynamic Panel Data Models," KIER Working Papers 887, Kyoto University, Institute of Economic Research.
    87. Vivek F. Farias & Andrew A. Li & Tianyi Peng, 2021. "Learning Treatment Effects in Panels with General Intervention Patterns," Papers 2106.02780, arXiv.org, revised Mar 2023.
    88. Luis Costa & Vivek F. Farias & Patricio Foncea & Jingyuan (Donna) Gan & Ayush Garg & Ivo Rosa Montenegro & Kumarjit Pathak & Tianyi Peng & Dusan Popovic, 2023. "Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure," Interfaces, INFORMS, vol. 53(5), pages 336-349, September.
    89. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
    90. Özçelik, Emre & Tuğan, Mustafa, 2019. "Terms of Trade Effects of Productivity Shocks and Economic Development," MPRA Paper 91473, University Library of Munich, Germany.
    91. Marco Avarucci & Paolo Zaffaroni, 2019. "Robust Nearly-Efficient Estimation of Large Panels with Factor Structures," Papers 1902.11181, arXiv.org.
    92. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers 60/13, Institute for Fiscal Studies.
    93. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    94. Mathieu Sanch-Maritan & Lionel Vedrine, 2019. "Are larger labor market more resilient? Evidence of the French army restructuring on exit from unemployment," Working Papers hal-02332809, HAL.
    95. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    96. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    97. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
    98. Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.
    99. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2014. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 20/14, Institute for Fiscal Studies.
    100. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    101. Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.
    102. Hugo Freeman, 2022. "Multidimensional Interactive Fixed-Effects," Papers 2209.11691, arXiv.org, revised Mar 2023.

  9. Eleanor Jawon Choi & Hyungsik Roger Moon & Geert Ridder, 2014. "Estimation of an Education Production Function under Random Assignment with Selection," Working Paper 9240, USC Lusk Center for Real Estate.

    Cited by:

    1. Cheng Maolin & Jiang Zedi, 2016. "A New Class of Production Function Model and Its Application," Journal of Systems Science and Information, De Gruyter, vol. 4(2), pages 177-185, April.
    2. Seul-Ki Kim & Young-Chul Kim, 2021. "Coed vs Single-Sex Schooling: An Empirical Study on Mental Health Outcomes," Working Papers 2103, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Soohyung Lee & Lesley J. Turner & Seokjin Woo & Kyunghee Kim, 2014. "All or Nothing? The Impact of School and Classroom Gender Composition on Effort and Academic Achievement," NBER Working Papers 20722, National Bureau of Economic Research, Inc.
    4. Eleanor Jawon Choi & Hyungsik Roger Moon & Geert Ridder, 2019. "Within-District School Lotteries, District Selection, and the Average Partial Effects of School Inputs," Korean Economic Review, Korean Economic Association, vol. 35, pages 275-306.
    5. Christian Dustmann & Hyejin Ku & Do Won Kwak, 2017. "Why Are Single-Sex Schools Successful?," CESifo Working Paper Series 6535, CESifo.
    6. Choi, Jaesung & Park, Hyunjoon & Behrman, Jere R., 2015. "Separating boys and girls and increasing weight? Assessing the impacts of single-sex schools through random assignment in Seoul," Social Science & Medicine, Elsevier, vol. 134(C), pages 1-11.
    7. Varughese, Aswathy Rachel & Bairagya, Indrajit, 2021. "Interstate variation in household spending on education in India: Does it influence educational status?," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 405-415.

  10. Hubrich, Kirstin & Granziera, Eleonora & Moon, Hyungsik Roger, 2013. "A predictability test for a small number of nested models," Working Paper Series 1580, European Central Bank.

    Cited by:

    1. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    2. Lee Tae-Hwy & Wang He & Xi Zhou & Zhang Ru, 2023. "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 57-83, January.
    3. Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers (Old Series) 1120, Federal Reserve Bank of Cleveland.
    4. Kirstin Hubrich & Frauke Skudelny, 2016. "Forecast Combination for Euro Area Inflation - A Cure in Times of Crisis?," Finance and Economics Discussion Series 2016-104, Board of Governors of the Federal Reserve System (U.S.).
    5. Dichtl, Hubert & Drobetz, Wolfgang & Neuhierl, Andreas & Wendt, Viktoria-Sophie, 2021. "Data snooping in equity premium prediction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 72-94.
    6. Daniel Borup & Martin Thyrsgaard, 2017. "Statistical tests for equal predictive ability across multiple forecasting methods," CREATES Research Papers 2017-19, Department of Economics and Business Economics, Aarhus University.

  11. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2022. "Nonparametric Identification of Random Coefficients in Endogenous and Heterogeneous Aggregate Demand Models," Papers 2201.06140, arXiv.org.
    2. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki, 2014. "Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models: Complements, Bundles and the Market Level," Economics Series 307, Institute for Advanced Studies.
    3. Ando, Tomohiro & Bai, Jushan & Li, Kunpeng, 2022. "Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 230(1), pages 20-38.
    4. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
    5. Vira Semenova & Matt Goldman & Victor Chernozhukov & Matt Taddy, 2023. "Inference on heterogeneous treatment effects in high‐dimensional dynamic panels under weak dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 471-510, May.
    6. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2023. "Nonparametric identification of random coefficients in aggregate demand models for differentiated products," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 279-306.
    7. Ando, Tomohiro & Bai, Jushan, 2021. "Large-scale generalized linear longitudinal data models with grouped patterns of unobserved heterogeneity," MPRA Paper 111431, University Library of Munich, Germany.
    8. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    9. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    10. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2017. "Discretizing unobserved heterogeneity," IFS Working Papers W17/03, Institute for Fiscal Studies.
    11. 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.
    12. Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.
    13. 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.
    14. Walter Beckert & Elaine Kelly, 2021. "Divided by choice? For‐profit providers, patient choice and mechanisms of patient sorting in the English National Health Service," Health Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 820-839, April.
    15. Bokhari, Farasat A.S. & Mariuzzo, Franco, 2018. "Demand estimation and merger simulations for drugs: Logits v. AIDS," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 653-685.
    16. Lu, Zhentong & Shi, Xiaoxia & Tao, Jing, 2023. "Semi-nonparametric estimation of random coefficients logit model for aggregate demand," Journal of Econometrics, Elsevier, vol. 235(2), pages 2245-2265.
    17. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    19. Chen, Mingli, 2016. "Estimation of Nonlinear Panel Models with Multiple Unobserved Effects," The Warwick Economics Research Paper Series (TWERPS) 1120, University of Warwick, Department of Economics.
    20. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
    21. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.

  12. Hyungsik Roger Moon & Benoit Perron, 2011. "Beyond Panel Unit Root Tests: Using Multiple Testing to Determine the Non Stationarity Properties of Individual Series in a Panel," CIRANO Working Papers 2011s-17, CIRANO.

    Cited by:

    1. Chen, Jie & Huang, Shoujun & Kamran, Hafiz Waqas, 2023. "Empowering sustainability practices through energy transition for sustainable development goal 7: The role of energy patents and natural resources among European Union economies through advanced panel," Energy Policy, Elsevier, vol. 176(C).
    2. Rickard Sandberg, 2016. "Testing for unit roots in nonlinear heterogeneous panels with smoothly changing trends: an application to Scandinavian unemployment rates," Empirical Economics, Springer, vol. 51(3), pages 1053-1083, November.
    3. Smeekes, S., 2011. "Bootstrap sequential tests to determine the stationary units in a panel," Research Memorandum 003, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    4. Hassler Uwe & Werkmann Verena, 2014. "Multiple Comparisons and Joint Significance in Panel Unit Root Testing with Evidence on International Interest Rate Linkage," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(1), pages 23-43, February.
    5. Yang, Shuangpeng & umar, Muhammad, 2022. "How globalization is reshaping the environmental quality in G7 economies in the presence of renewable energy initiatives?," Renewable Energy, Elsevier, vol. 193(C), pages 128-135.
    6. Li, Zeyun & Kuo, Yen-Ku & Mahmud, Abdul Rahman & Nassani, Abdelmohsen A. & Haffar, Mohamed & Muda, Iskandar, 2022. "Integration of renewable energy, environmental policy stringency, and climate technologies in realizing environmental sustainability: Evidence from OECD countries," Renewable Energy, Elsevier, vol. 196(C), pages 1376-1384.
    7. Verena Werkmann, 2013. "Performance of unit root tests in unbalanced panels: experimental evidence," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(3), pages 271-285, July.
    8. Smeekes, S. & Urbain, J.R.Y.J., 2014. "A multivariate invariance principle for modified wild bootstrap methods with an application to unit root testing," Research Memorandum 008, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. Stephan Smeekes & Joakim Westerlund, 2019. "Robust block bootstrap panel predictability tests," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1089-1107, October.
    10. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.
    11. Matsuki, Takashi & Sugimoto, Kimiko, 2013. "Stationarity of Asian real exchange rates: An empirical application of multiple testing to nonstationary panels with a structural break," Economic Modelling, Elsevier, vol. 34(C), pages 52-58.
    12. Khan, Zeeshan & Ali, Muhsin & Jinyu, Liu & Shahbaz, Muhammad & Siqun, Yang, 2020. "Consumption-based carbon emissions and trade nexus: Evidence from nine oil exporting countries," Energy Economics, Elsevier, vol. 89(C).
    13. Arshian Sharif & Najia Saqib & Kangyin Dong & Syed Abdul Rehman Khan, 2022. "Nexus between green technology innovation, green financing, and CO2 emissions in the G7 countries: The moderating role of social globalisation," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1934-1946, December.
    14. Caterina Schiavoni & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2019. "A dynamic factor model approach to incorporate Big Data in state space models for official statistics," Papers 1901.11355, arXiv.org, revised Feb 2020.
    15. Takashi Matsuki, 2016. "Linear and nonlinear comovement in Southeast Asian local currency bond markets: a stepwise multiple testing approach," Empirical Economics, Springer, vol. 51(2), pages 591-619, September.
    16. Czudaj, Robert & Hanck, Christoph, 2013. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79734, Verein für Socialpolitik / German Economic Association.
    17. She, Weijun & Mabrouk, Fatma, 2023. "Impact of natural resources and globalization on green economic recovery: Role of FDI and green innovations in BRICS economies," Resources Policy, Elsevier, vol. 82(C).
    18. Perevyshin, Yu. & Skrobotov, A., 2017. "The Price Convergence of Individual Goods in the Russian Regions," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 71-102.
    19. Xuguang Sheng & Jingyun Yang, 2013. "Truncated Product Methods for Panel Unit Root Tests," Working Papers 2013-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    20. Costantini, Mauro & Lupi, Claudio, 2016. "Identifying stationary series in panels: A Monte Carlo evaluation of sequential panel selection methods," Economics Letters, Elsevier, vol. 138(C), pages 9-14.
    21. Khan, Zeeshan & Haouas, Ilham & Trinh, Hai Hong & Badeeb, Ramez Abubakr & Zhang, Changyong, 2023. "Financial inclusion and energy poverty nexus in the era of globalization: Role of composite risk index and energy investment in emerging economies," Renewable Energy, Elsevier, vol. 204(C), pages 382-399.
    22. Shang, Yunfeng & Razzaq, Asif & Chupradit, Supat & Binh An, Nguyen & Abdul-Samad, Zulkiflee, 2022. "The role of renewable energy consumption and health expenditures in improving load capacity factor in ASEAN countries: Exploring new paradigm using advance panel models," Renewable Energy, Elsevier, vol. 191(C), pages 715-722.
    23. Luo, Shunjun & Mabrouk, Fatma, 2022. "Nexus between natural resources, globalization and ecological sustainability in resource-rich countries: Dynamic role of green technology and environmental regulation," Resources Policy, Elsevier, vol. 79(C).
    24. Westerlund, Joakim & Thuraisamy, Kannan & Sharma, Susan, 2015. "On the use of panel cointegration tests in energy economics," Energy Economics, Elsevier, vol. 50(C), pages 359-363.
    25. Liu, Xiaoxi & Razzaq, Asif & Shahzad, Mohsin & Irfan, Muhammad, 2022. "Technological changes, financial development and ecological consequences: A comparative study of developed and developing economies," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    26. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Stephan Smeekes, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 398-415, May.
    27. Ahmad, Munir & Zhu, Xiwei & Wu, Yiyun, 2022. "The criticality of international tourism and technological innovation for carbon neutrality across regional development levels," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    28. Pesaran, M. Hashem, 2012. "On the interpretation of panel unit root tests," Economics Letters, Elsevier, vol. 116(3), pages 545-546.
    29. Norazah Mohd Suki & Norbayah Mohd Suki & Arshian Sharif & Sahar Afshan, 2021. "The role of logistics performance for sustainable development in top Asian countries: Evidence from advance panel estimations," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 595-606, July.

  13. Schorfheide, Frank & Moon, Hyungsik Roger & Granziera, Eleonora & Lee, Mihye, 2011. "Inference for VARs Identified with Sign Restrictions," CEPR Discussion Papers 8432, C.E.P.R. Discussion Papers.

    Cited by:

    1. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identi?ed SVARs," CeMMAP working papers CWP45/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Mayer, Eric & Rüth, Sebastian & Scharler, Johann, 2016. "Total factor productivity and the propagation of shocks: Empirical evidence and implications for the business cycle," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 335-346.
    3. Klug, Thorsten & Mayer, Eric & Schuler, Tobias, 2021. "The corporate saving glut and the current account in Germany," Working Paper Series 2586, European Central Bank.
    4. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
    5. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    6. Mark W. Watson, 2019. "Comment on "On the Empirical (Ir)relevance of the Zero Lower Bound Constraint"," NBER Chapters, in: NBER Macroeconomics Annual 2019, volume 34, pages 182-193, National Bureau of Economic Research, Inc.
    7. Andreas Tryphonides, 2023. "Online Appendix to "Identifying Preferences when Households are Financially Constrained"," Online Appendices 21-242, Review of Economic Dynamics.
    8. IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116355, University Library of Munich, Germany.
    9. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2014. "Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications," Dynare Working Papers 30, CEPREMAP.
    10. Bicu, A.C. & Lieb, L.M., 2015. "Cross-border effects of fiscal policy in the Eurozone," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    11. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    12. Hyunseung Oh & Nicolas Crouzet, 2013. "Can news shocks account for the business-cycle dynamics of inventories?," 2013 Meeting Papers 504, Society for Economic Dynamics.
    13. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2013. "Identification-robust analysis of DSGE and structural macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 340-350.
    14. Pooyan Amir Ahmadi & Harald Uhlig, 2015. "Sign Restrictions in Bayesian FaVARs with an Application to Monetary Policy Shocks," NBER Working Papers 21738, National Bureau of Economic Research, Inc.
    15. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2022. "Testing the Effectiveness of Unconventional Monetary Policy in Japan and the United States," CAMA Working Papers 2022-68, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    16. Andrea Carriero & Alessio Volpicella, 2022. "Generalizing the Max Share Identification to multiple shocks identification: an Application to Uncertainty," School of Economics Discussion Papers 0322, School of Economics, University of Surrey.
    17. Kilian, Lutz & Murphy, Daniel, 2009. "Why Agnostic Sign Restrictions Are Not Enough: Understanding the Dynamics of Oil Market VAR Models," CEPR Discussion Papers 7471, C.E.P.R. Discussion Papers.
    18. Jordi Brandts & Sabrine El Baroudi & Stefanie Huber & Christina Rott, 2022. "Gender Differences in Private and Public Goal Setting," Tinbergen Institute Discussion Papers 22-008/II, Tinbergen Institute.
    19. Prüser, Jan, 2021. "The horseshoe prior for time-varying parameter VARs and Monetary Policy," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    20. Sergio Ocampo & Norberto Rodríguez, 2011. "An Introductory Review of a Structural VAR-X Estimation and Applications," Borradores de Economia 686, Banco de la Republica de Colombia.
    21. Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
    22. Gerald A. Carlino & Thorsten Drautzburg, 2017. "The Role of Startups for Local Labor Markets," Working Papers 17-31, Federal Reserve Bank of Philadelphia.
    23. Pooyan Amir‐Ahmadi & Christian Matthes & Mu‐Chun Wang, 2016. "Drifts and volatilities under measurement error: Assessing monetary policy shocks over the last century," Quantitative Economics, Econometric Society, vol. 7(2), pages 591-611, July.
    24. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    25. Sam Ouliaris & Adrian Pagan, 2022. "Three Basic Issues that Arise when Using Informational Restrictions in SVARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 1-20, February.
    26. Inoue, Atsushi & Kilian, Lutz, 2013. "Inference on impulse response functions in structural VAR models," Journal of Econometrics, Elsevier, vol. 177(1), pages 1-13.
    27. Kocięcki, Andrzej, 2017. "Fully Bayesian Analysis of SVAR Models under Zero and Sign Restrictions," MPRA Paper 81094, University Library of Munich, Germany.
    28. James H. Stock, 2010. "The Other Transformation in Econometric Practice: Robust Tools for Inference," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 83-94, Spring.
    29. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
    30. Fischer, Andreas & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," CEPR Discussion Papers 15777, C.E.P.R. Discussion Papers.
    31. Pooyan Amir-Ahmadi & Thorsten Drautzburg, 2017. "Identification through Heterogeneity," CESifo Working Paper Series 6359, CESifo.
    32. Matthew Read, 2021. "Algorithms for Inference in SVARs Identified with Sign and Zero Restrictions," Papers 2109.10676, arXiv.org, revised Jan 2022.
    33. Danne, Christian, 2015. "VARsignR: Estimating VARs using sign restrictions in R," MPRA Paper 68429, University Library of Munich, Germany.
    34. Pooyan Amir-Ahmadi & Gustavo S. Cortes & Marc D. Weidenmier, 2020. "Regional Monetary Policies and the Great Depression," NBER Working Papers 26695, National Bureau of Economic Research, Inc.
    35. Thorsten Drautzburg & Jonathan H. Wright, 2021. "Refining Set-Identification in VARs through Independence," Working Papers 21-31, Federal Reserve Bank of Philadelphia.
    36. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.
    38. Atsushi Inoue & Lutz Kilian, 2019. "The Uniform Validity of Impulse Response Inference in Autoregressions," Working Papers 1908, Federal Reserve Bank of Dallas.
    39. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.
    40. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    41. Pérez-Forero, Fernando & Vega, Marco, 2014. "The Dynamic Effects of Interest Rates and Reserve Requirements," Working Papers 2014-018, Banco Central de Reserva del Perú.
    42. Emanuele Bacchiocchi & Toru Kitagawa, 2020. "Locally- but not globally-identified SVARs," CeMMAP working papers CWP40/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    44. Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
    45. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2020. "Robust Bayesian inference in proxy SVARs," CeMMAP working papers CWP13/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Njindan Iyke, Bernard, 2015. "Assessing the Effects of Housing Market Shocks on Output: The Case of South Africa," MPRA Paper 69610, University Library of Munich, Germany, revised 01 Feb 2016.
    47. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    48. Rüth, Sebastian & Mayer, Eric & Scharler, Johann, 2014. "TFP and the Transmission of Shocks," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100549, Verein für Socialpolitik / German Economic Association.
    49. Matthew Read, 2022. "The Unit-effect Normalisation in Set-identified Structural Vector Autoregressions," RBA Research Discussion Papers rdp2022-04, Reserve Bank of Australia.
    50. Njindan Iyke, Bernard, 2016. "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper 70205, University Library of Munich, Germany.
    51. IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
    52. Keating, John W., 2013. "What do we learn from Blanchard and Quah decompositions of output if aggregate demand may not be long-run neutral?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 203-217.
    53. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.
    54. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Locally Robust Inference for Non-Gaussian SVAR Models," Working Papers 1367, Barcelona School of Economics.
    55. Gan‐Ochir Doojav & Davaasukh Damdinjav, 2023. "The macroeconomic effects of unconventional monetary policies in a commodity‐exporting economy: Evidence from Mongolia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4627-4654, October.
    56. Giraitis, Liudas & Kapetanios, George & Theodoridis, Konstantinos & Yates, Tony, 2014. "Estimating time-varying DSGE models using minimum distance methods," Bank of England working papers 507, Bank of England.
    57. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    58. Pooyan Amir‐Ahmadi & Thorsten Drautzburg, 2021. "Identification and inference with ranking restrictions," Quantitative Economics, Econometric Society, vol. 12(1), pages 1-39, January.
    59. Breitenlechner, Max & Scharler, Johann, 2017. "Decomposing the U.S. Great Depression: How important were Loan Supply Shocks?," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168208, Verein für Socialpolitik / German Economic Association.
    60. Breitenlechner, Max & Nuutilainen, Riikka, 2019. "China's monetary policy and the loan market: How strong is the credit channel in China?," BOFIT Discussion Papers 15/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    61. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    62. John W. Keating, 2013. "What Do We Learn from Blanchard and Quah Decompositions If Aggregate Demand May Not be Long-Run Neutral?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201302, University of Kansas, Department of Economics.
    63. Andreas Tryphonides, 2020. "Identifying Preferences when Households are Financially Constrained," Papers 2005.02010, arXiv.org, revised Feb 2023.
    64. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).

  14. Nayoung Lee & Hyungsik Roger Moon & Martin Weidner, 2011. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," CeMMAP working papers CWP37/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
    2. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    4. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    5. 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.
    6. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
    7. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    8. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    9. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    10. 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.
    11. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    13. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
    14. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.

  15. Hyungsik Roger Moon & Frank Schorfheide, 2009. "Bayesian and Frequentist Inference in Partially Identified Models," NBER Working Papers 14882, National Bureau of Economic Research, Inc.

    Cited by:

    1. Atsushi Inoue & Mototsugu Shintani, 2018. "Quasi‐Bayesian model selection," Quantitative Economics, Econometric Society, vol. 9(3), pages 1265-1297, November.
    2. Khalaf, Lynda & Lin, Zhenjiang, 2021. "Projection-based inference with particle swarm optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    3. Ahfock, Daniel & Pyne, Saumyadipta & McLachlan, Geoffrey J., 2022. "Statistical file-matching of non-Gaussian data: A game theoretic approach," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    4. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers CWP43/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers CWP28/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Thorsten Drautzburg, 2016. "A narrative approach to a fiscal DSGE model," Working Papers 16-11, Federal Reserve Bank of Philadelphia.
    7. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    8. Yuan Liao & Anna Simoni, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," Papers 1212.3267, arXiv.org, revised Nov 2013.
    9. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2014. "Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications," Dynare Working Papers 30, CEPREMAP.
    10. Armstrong, Timothy B., 2014. "Weighted KS statistics for inference on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 181(2), pages 92-116.
    11. Pudney, Stephen & Diaz, Yadira, 2013. "Measuring poverty persistence with missing data with an application to Peruvian panel data," ISER Working Paper Series 2013-22, Institute for Social and Economic Research.
    12. Matthew Masten & Alexandre Poirier, 2017. "Inference on breakdown frontiers," CeMMAP working papers 20/17, Institute for Fiscal Studies.
    13. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
    14. Kilian, Lutz & Murphy, Daniel, 2009. "Why Agnostic Sign Restrictions Are Not Enough: Understanding the Dynamics of Oil Market VAR Models," CEPR Discussion Papers 7471, C.E.P.R. Discussion Papers.
    15. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    16. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
    18. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    19. Hyungsik Roger Moon & Frank Schorfheide & Eleonora Granziera & Mihye Lee, 2011. "Inference for VARs Identified with Sign Restrictions," NBER Working Papers 17140, National Bureau of Economic Research, Inc.
    20. Montiel Olea, José Luis & Nesbit, James, 2021. "(Machine) learning parameter regions," Journal of Econometrics, Elsevier, vol. 222(1), pages 716-744.
    21. Alessandra Mattei & Fabrizia Mealli & Barbara Pacini, 2014. "Identification of causal effects in the presence of nonignorable missing outcome values," Biometrics, The International Biometric Society, vol. 70(2), pages 278-288, June.
    22. Zach Flynn, 2020. "Identifying productivity when it is a factor of production," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 496-530, June.
    23. Jiang, Wenxin, 2017. "On limiting distribution of quasi-posteriors under partial identification," Econometrics and Statistics, Elsevier, vol. 3(C), pages 60-72.
    24. Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
    25. Alvarez, Luis Antonio, 2023. "Approximate Bayesian Computation for Partially Identified Models," MPRA Paper 117339, University Library of Munich, Germany.
    26. Zhongjun Qu & Fan Zhuo, 2015. "Likelihood Ratio Based Tests for Markov Regime Switching," Boston University - Department of Economics - Working Papers Series wp2015-003, Boston University - Department of Economics.
    27. Yuan Liao & Anna Simoni, 2019. "Bayesian inference for partially identified smooth convex models," Post-Print hal-03089881, HAL.
    28. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
    29. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," CEPR Discussion Papers 8364, C.E.P.R. Discussion Papers.
    30. Fischer, Andreas & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," CEPR Discussion Papers 15777, C.E.P.R. Discussion Papers.
    31. Pooyan Amir-Ahmadi & Thorsten Drautzburg, 2017. "Identification through Heterogeneity," CESifo Working Paper Series 6359, CESifo.
    32. Gustafson Paul, 2010. "Bayesian Inference for Partially Identified Models," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-20, March.
    33. Shinya Sugawara, 2013. "An Interval Regression Analysis for Tenures of Japanese Elder Care Workers Using Matched Employer-Employee Data," CIRJE F-Series CIRJE-F-887, CIRJE, Faculty of Economics, University of Tokyo.
    34. Georgios Georgiadis & Gernot J. Müller & Ben Schumann, 2023. "Global Risk and the Dollar," Discussion Papers of DIW Berlin 2057, DIW Berlin, German Institute for Economic Research.
    35. Danne, Christian, 2015. "VARsignR: Estimating VARs using sign restrictions in R," MPRA Paper 68429, University Library of Munich, Germany.
    36. David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
    37. Stéphane Bonhomme & Martin Weidner, 2019. "Posterior average effects," CeMMAP working papers CWP43/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Kyungchul Song, 2009. "Point Decisions for Interval-Identified Parameters," PIER Working Paper Archive 09-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    39. Thorsten Drautzburg & Jonathan H. Wright, 2021. "Refining Set-Identification in VARs through Independence," Working Papers 21-31, Federal Reserve Bank of Philadelphia.
    40. Li, Yong & Liu, Xiaobin & Zeng, Tao & Yu, Jun, 2018. "A Posterior-Based Wald-Type Statistic for Hypothesis Testing," Economics and Statistics Working Papers 8-2018, Singapore Management University, School of Economics.
    41. Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.
    42. Raffaella Giacomini & Toru Kitagawa & Harald Uhlig, 2019. "Estimation Under Ambiguity," CeMMAP working papers CWP24/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.
    44. Armstrong, Timothy B. & Chan, Hock Peng, 2016. "Multiscale adaptive inference on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 194(1), pages 24-43.
    45. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Second Version," PIER Working Paper Archive 15-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 31 Aug 2015.
    46. Áureo de Paula, 2013. "Econometric Analysis of Games with Multiple Equilibria," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 107-131, May.
    47. Pérez-Forero, Fernando & Vega, Marco, 2014. "The Dynamic Effects of Interest Rates and Reserve Requirements," Working Papers 2014-018, Banco Central de Reserva del Perú.
    48. Emanuele Bacchiocchi & Toru Kitagawa, 2020. "Locally- but not globally-identified SVARs," CeMMAP working papers CWP40/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    49. Shinya Sugawara & Yasuhiro Omori, 2013. "An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection," CIRJE F-Series CIRJE-F-882, CIRJE, Faculty of Economics, University of Tokyo.
    50. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    51. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.
    52. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2020. "Robust Bayesian inference in proxy SVARs," CeMMAP working papers CWP13/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    53. Doh, Taeyoung & Smith, A. Lee, 2022. "A new approach to integrating expectations into VAR models," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 24-43.
    54. Larry G. Epstein & Kyoungwon Seo, 2013. "De Finetti Meets Ellsberg," CIRANO Working Papers 2013s-35, CIRANO.
    55. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2023. "Identification and Inference under Narrative Restrictions," RBA Research Discussion Papers rdp2023-07, Reserve Bank of Australia.
    56. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    57. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    58. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.
    59. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
    60. Ashesh Rambachan & Jon Kleinberg & Sendhil Mullainathan & Jens Ludwig, 2020. "An Economic Approach to Regulating Algorithms," NBER Working Papers 27111, National Bureau of Economic Research, Inc.
    61. Shinya Sugawara & Yasuhiro Omori, 2012. "An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection Problems," CIRJE F-Series CIRJE-F-849, CIRJE, Faculty of Economics, University of Tokyo.
    62. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    63. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Third Version," PIER Working Paper Archive 15-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Sep 2015.
    64. Armstrong, Timothy B., 2015. "Asymptotically exact inference in conditional moment inequality models," Journal of Econometrics, Elsevier, vol. 186(1), pages 51-65.
    65. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," Papers 2011.07276, arXiv.org.
    66. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," PIER Working Paper Archive 20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
      • Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    67. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
    68. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "A Bayesian analysis of binary misclassification," Economics Letters, Elsevier, vol. 156(C), pages 68-73.
    69. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
    70. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).
    71. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    72. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers 28/16, Institute for Fiscal Studies.
    73. Stéphane Bonhomme & Martin Weidner, 2020. "Posterior average effects," CeMMAP working papers CWP49/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    74. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    75. Ahfock, Daniel & Pyne, Saumyadipta & Lee, Sharon X. & McLachlan, Geoffrey J., 2016. "Partial identification in the statistical matching problem," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 79-90.
    76. Max Breitenlechner & Riikka Nuutilainen, 2023. "China’s Monetary Policy and the Loan Market: How Strong is the Credit Channel in China?," Open Economies Review, Springer, vol. 34(3), pages 555-577, July.
    77. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2015. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," NBER Working Papers 21803, National Bureau of Economic Research, Inc.
    78. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    79. Breitenlechner, Max & Scharler, Johann, 2017. "Decomposing the U.S. Great Depression: How important were Loan Supply Shocks?," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168208, Verein für Socialpolitik / German Economic Association.
    80. Breitenlechner, Max & Nuutilainen, Riikka, 2019. "China's monetary policy and the loan market: How strong is the credit channel in China?," BOFIT Discussion Papers 15/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    81. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.
    82. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    83. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    84. Yuan Liao & Anna Simoni, 2016. "Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference?," Departmental Working Papers 201607, Rutgers University, Department of Economics.
    85. Isaiah Andrews & Anna Mikusheva, 2022. "Optimal Decision Rules for Weak GMM," Econometrica, Econometric Society, vol. 90(2), pages 715-748, March.
    86. Gafarov, Bulat & Meier, Matthias & Montiel Olea, José Luis, 2018. "Delta-method inference for a class of set-identified SVARs," Journal of Econometrics, Elsevier, vol. 203(2), pages 316-327.
    87. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).

  16. Schorfheide, Frank & Moon, Hyungsik Roger, 2006. "Boosting Your Instruments: Estimation with Overidentifying Inequality Moment Conditions," CEPR Discussion Papers 5605, C.E.P.R. Discussion Papers.

    Cited by:

    1. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    2. Moon, Hyungsik Roger & Schorfheide, Frank, 2009. "Estimation with overidentifying inequality moment conditions," Journal of Econometrics, Elsevier, vol. 153(2), pages 136-154, December.
    3. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676, Cowles Foundation for Research in Economics, Yale University.
    4. Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009. "An Improved Bootstrap Test of Stochastic Dominance," Cowles Foundation Discussion Papers 1713, Cowles Foundation for Research in Economics, Yale University.
    5. Lu, Zhentong, 2022. "Estimating multinomial choice models with unobserved choice sets," Journal of Econometrics, Elsevier, vol. 226(2), pages 368-398.
    6. Rosen, Adam M., 2008. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," Journal of Econometrics, Elsevier, vol. 146(1), pages 107-117, September.
    7. Andrew Chesher, 2008. "Instrumental variable models for discrete outcomes," CeMMAP working papers CWP30/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  17. Emmanuel Guerre & Hyungsik Roger Moon, 2005. "A Study of a Semiparametric Binary Choice Model with Integrated Covariates," IEPR Working Papers 05.37, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    2. Chaohua Dong & Jiti Gao & Dag Tjostheim, 2014. "Estimation for Single-index and Partially Linear Single-index Nonstationary Time Series Models," Monash Econometrics and Business Statistics Working Papers 7/14, Monash University, Department of Econometrics and Business Statistics.

  18. Hyungsik Roger Moon & Benoit Perron, 2005. "An Empirical Analysis of Nonstationarity in Panels of Exchange Rates and Interest Rates with Factors," IEPR Working Papers 05.35, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Ryan Greenaway-McGrevy & Donggyu Sul & Nelson Mark & Jyh-Lin Wu, 2017. "Identifying Exchange Rate Common Factors," NBER Working Papers 23726, National Bureau of Economic Research, Inc.
    2. Maciej Bukowski & Grzegorz Koloch & Piotr Lewandowski, 2013. "Shocks and rigidities as determinants of CEE labour markets’ performance," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(3), pages 553-581, July.
    3. Julián Ramajo Hernández(1) & Montserrat Ferré Carracedo(2), "undated". "Testing For Long-Run Purchasing Power Parity In The Post Bretton Woods Era: Evidence From Old And New Tests," Working Papers 24-05 Classification-JEL , Instituto de Estudios Fiscales.
    4. Tommaso Mancini-Griffoli & Laurent L. Pauwels, 2006. "Is There a Euro Effect on Trade? An Application of End-of-Sample Structural Break Tests for Panel Data," IHEID Working Papers 04-2006, Economics Section, The Graduate Institute of International Studies, revised Apr 2006.

  19. Peter C.B. Phillips & Hyungsik Roger Moon & Benoit Perron, 2004. "Incidental Trends and the Power of Panel Unit Root Tests," Yale School of Management Working Papers ysm414, Yale School of Management.

    Cited by:

    1. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Discussion Paper 2013-017, Tilburg University, Center for Economic Research.
    2. Gutierrez, Luciano, 2009. "Sampling at different frequencies, and the power of panel unit root tests," Economics Letters, Elsevier, vol. 102(1), pages 59-61, January.
    3. 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.
    4. Lee, Yonghee & Shin, Dong Wan, 2009. "Optimal tests against the alternative hypothesis of panel unit roots," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2275-2283, April.
    5. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    6. Westerlund, Joakim, 2014. "Pooled panel unit root tests and the effect of past initialization," Working Papers fe_2014_06, Deakin University, Department of Economics.
    7. Herwartz, Helmut & Siedenburg, Florian, 2009. "The effects of variance breaks on homogenous panel unit root tests," Economics Working Papers 2009-07, Christian-Albrechts-University of Kiel, Department of Economics.
    8. Dimitris Christopoulos & Peter McAdam, 2016. "On the Persistence of Cross-Country Inequality Measures," School of Economics Discussion Papers 0216, School of Economics, University of Surrey.
    9. Seung C. Ahn & Gareth M. Thomas, 2023. "Likelihood-based inference for dynamic panel data models," Empirical Economics, Springer, vol. 64(6), pages 2859-2909, June.
    10. M. Hashem Pesaran & L. Vanessa Smith & Takashi Yamagata, 2008. "Panel Unit Root Tests in the Presence of a Multifactor Error Structure," CESifo Working Paper Series 2193, CESifo.
    11. Benoit Perron & Hyungsik Roger Moon, 2007. "An empirical analysis of nonstationarity in a panel of interest rates with factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 383-400.
    12. Samuel Brien & Michael Jansson & Morten Ørregaard Nielsen, 2022. "Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order," Working Paper 1429, Economics Department, Queen's University.
    13. Karavias, Yiannis & Tzavalis, Elias, 2014. "A fixed-T version of Breitung’s panel data unit root test," Economics Letters, Elsevier, vol. 124(1), pages 83-87.
    14. Palm, F.C. & Smeekes, S. & Urbain, J.R.Y.J., 2008. "Cross-sectional dependence robust block bootstrap panel unit root tests," Research Memorandum 048, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    15. Yiannis Karavias & Elias Tzavalis, 2014. "A fixed-T version of Breitung's panel data unit root test and its asymptotic local power," Discussion Papers 14/02, University of Nottingham, Granger Centre for Time Series Econometrics.
    16. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    17. 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.
    18. 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.
    19. Milda Norkute & Joakim Westerlund & Ovidijus Stauskas, 2021. "The Factor Analytical Approach in Trending Near Unit Root Panels," Bank of Lithuania Working Paper Series 91, Bank of Lithuania.
    20. 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.
    21. Joerg Breitung & M. Hashem Pesaran, 2005. "Unit Roots and Cointegration in Panels," CESifo Working Paper Series 1565, CESifo.
    22. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    23. Westerlund, Joakim & Larsson, Rolf, 2009. "Testing for a Unit Root in a Random Coefficient Panel Data Model," Working Papers in Economics 383, University of Gothenburg, Department of Economics.
    24. Zhongwen Liang, 2017. "A Unified Approach on the Local Power of Panel Unit Root Tests," Papers 1710.02944, arXiv.org.
    25. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    26. 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.
    27. Westerlund, Joakim & Larsson, Rolf, 2015. "New tools for understanding the local asymptotic power of panel unit root tests," Journal of Econometrics, Elsevier, vol. 188(1), pages 59-93.
    28. 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.
    29. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Other publications TiSEM e34b7d23-8e53-4cea-ba69-5, Tilburg University, School of Economics and Management.
    30. Matei Demetrescu & Christoph Hanck, 2013. "Nonlinear IV panel unit root testing under structural breaks in the error variance," Statistical Papers, Springer, vol. 54(4), pages 1043-1066, November.
    31. Yiannis Karavias & Elias Tzavalis, 2013. "The power performance of fixed-T panel unit root tests allowing for structural breaks," Discussion Papers 13/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    32. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.
    33. Peter C.B. Phillips & Hyungsik Roger Moon & Benoit Perron, 2004. "Incidental Trends and the Power of Panel Unit Root Tests," Yale School of Management Working Papers ysm414, Yale School of Management.
    34. Robinson, Peter M. & Velasco, Carlos, 2018. "Inference on trending panel data," Journal of Econometrics, Elsevier, vol. 206(2), pages 282-304.
    35. Shin, Dong Wan & Kang, Seungho, 2006. "An instrumental variable approach for panel unit root tests under cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 134(1), pages 215-234, September.
    36. Wichert, Oliver & Becheri, I. Gaia & Drost, Feike C. & van den Akker, Ramon, 2019. "Local Asymptotic Equivalence of the Bai and Ng (2004) and Moon and Perron (2004) Frameworks for Panel Unit Root Testing," Other publications TiSEM 9644bd02-6df0-463d-b041-9, Tilburg University, School of Economics and Management.
    37. Becheri, I. Gaia & Drost, Feike C. & van den Akker, Ramon & Wichert, Oliver, 2016. "The power envelope of panel unit root tests in case stationary alternatives offset explosive ones," Statistics & Probability Letters, Elsevier, vol. 108(C), pages 1-8.
    38. Joakim Westerlund, 2015. "Rethinking the Univariate Approach to Panel Unit Root Testing: Using Covariates to Resolve the Incidental Trend Problem," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 430-443, July.
    39. Valérie Mignon & Christophe Hurlin, 2005. "Une synthèse des tests de racine unitaire sur données de panel," Économie et Prévision, Programme National Persée, vol. 169(3), pages 253-294.
    40. Erik Hjalmarsson, 2005. "Estimation of average local-to-unity roots in heterogenous panels," International Finance Discussion Papers 852, Board of Governors of the Federal Reserve System (U.S.).
    41. Rémi Generoso, 2012. "Transferts de fonds et résilience des pays d'Afrique de l'Ouest face à la variabilité des précipitations : une perspective macroéconomique," Working Papers hal-00830021, HAL.
    42. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    43. Claude Lopez, 2003. "An Improved Panel Unit Root Test Using GLS-Detrending," Econometrics 0310003, University Library of Munich, Germany.
    44. Westerlund, Joakim, 2015. "The effect of recursive detrending on panel unit root tests," Journal of Econometrics, Elsevier, vol. 185(2), pages 453-467.
    45. Rafael González-Val & Luis Lanaspa & Fernando Sanz, 2012. "New evidence on Gibrat’s law for cities," Working Papers 2012/18, Institut d'Economia de Barcelona (IEB).
    46. Karikallio, Hanna, 2015. "Cross-commodity Price Transmission and Integration of the EU Livestock Market of Pork and Beef: Panel Time-series Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211832, International Association of Agricultural Economists.
    47. Karavias, Yiannis & Tzavalis, Elias, 2012. "Generalized �Fixed-T Panel Unit Root Tests Allowing for Structural Breaks," MPRA Paper 43128, University Library of Munich, Germany.
    48. Carrion-i-Silvestre Josep Lluis & Surdeanu Laura, 2011. "Panel Cointegration Rank Testing with Cross-Section Dependence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-43, September.
    49. Luciano Gutierrez, 2003. "Panel Unit Roots Tests for Cross-Sectionally Correlated Panels: A Monte Carlo Comparison," Econometrics 0310004, University Library of Munich, Germany.
    50. Kajal Lahiri & Zhongwen Liang & Huaming Peng, 2017. "The Local Power of the IPS Test with Both Initial Conditions and Incidental Trends," CESifo Working Paper Series 6313, CESifo.
    51. Westerlund, Joakim & Breitung, Jörg, 2009. "Myths and Facts about Panel Unit Root Tests," Working Papers in Economics 380, University of Gothenburg, Department of Economics.
    52. Dierk Herzer, 2019. "The long-run effect of aid on health: evidence from panel cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 51(12), pages 1319-1338, March.
    53. Becheri, I.G., 2012. "Limiting experiments for panel-data and jump-diffusion models," Other publications TiSEM 7e53f6cf-fab1-4f86-9e5d-b, Tilburg University, School of Economics and Management.
    54. Jushan Bai & Josep Lluís Carrion‐i‐Silvestre, 2013. "Testing panel cointegration with unobservable dynamic common factors that are correlated with the regressors," Econometrics Journal, Royal Economic Society, vol. 16(2), pages 222-249, June.
    55. Yiannis Karavias & Elias Tzavalis, 2017. "Local power of panel unit root tests allowing for structural breaks," Econometric Reviews, Taylor & Francis Journals, vol. 36(10), pages 1123-1156, November.
    56. 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.
    57. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.
    58. 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.
    59. Badi H. Baltagi & Chihwa Kao & Long Liu, 2012. "On The Estimation and Testing of Fixed Effects Panel Data Models with Weak Instruments," Center for Policy Research Working Papers 143, Center for Policy Research, Maxwell School, Syracuse University.
    60. Patrick Marsh, 2019. "Properties of the power envelope for tests against both stationary and explosive alternatives: the effect of trends," Discussion Papers 19/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    61. Bai, Jushan & Carrion-i-Silvestre, Josep Lluis, 2009. "Testing Panel Cointegration with Unobservable Dynamic Common Factors," MPRA Paper 35243, University Library of Munich, Germany.
    62. Westerlund, Joakim, 2014. "A simple test for nonstationarity in mixed panels with incidental trends," Economics Letters, Elsevier, vol. 125(2), pages 160-163.
    63. Ajide, Kazeem & Ridwan, Ibrahim, 2018. "Energy consumption, environmental contaminants, and economic growth: The G8 experience," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 51, pages 58-83.
    64. Jönsson, Kristian, 2004. "Testing for Stationarity in Panel Data Models when Disturbances are Cross-Sectionally Correlated," Working Papers 2004:17, Lund University, Department of Economics, revised 26 Nov 2004.
    65. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    66. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.
    67. Westerlund, Joakim, 2015. "The power of PANIC," Journal of Econometrics, Elsevier, vol. 185(2), pages 495-509.
    68. 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.

  20. Jinyong Hahn & Hyungsik Roger Moon, 2004. "Reducing Bias of MLE in a Dynamic Panel Model," IEPR Working Papers 04.5, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    6. 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.
    7. 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.
    8. Dhaene, Geert & Jochmans, Koen, 2016. "Bias-corrected estimation of panel vector autoregressions," Economics Letters, Elsevier, vol. 145(C), pages 98-103.
    9. William F. Lincoln & Andrew H. McCallum & Michael Siemer, 2019. "The Great Recession and a Missing Generation of Exporters," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(4), pages 703-745, December.
    10. Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
    11. Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers 42/17, Institute for Fiscal Studies.
    12. Badi H. Baltagi, 2013. "Dynamic panel data models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 10, pages 229-248, Edward Elgar Publishing.
    13. 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.
    14. William F. Lincoln & Andrew H. McCallum & Michael Siemer, 2017. "The Great Recession and a Missing Generation of Exporters," Finance and Economics Discussion Series 2017-108, Board of Governors of the Federal Reserve System (U.S.).
    15. David Emanuel Andersson & Åke E. Andersson & Björn Hårsman & Xiyi Yang, 2020. "The geography of science in 12 European countries: a NUTS2-level analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1099-1125, August.
    16. William F. Lincoln & Andrew H. McCallum & Michael Siemer, 2018. "The Great Recession and a Missing Generation of Exporters," Working Papers 18-33, Center for Economic Studies, U.S. Census Bureau.
    17. Alexander Chudik & M. Hashem Pesaran & Jui-Chung Yang, 2016. "Half-panel jackknife fixed effects estimation of panels with weakly exogenous regressor," Globalization Institute Working Papers 281, Federal Reserve Bank of Dallas.
    18. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    19. 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.
    20. 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.
    21. Chambers, Marcus J., 2013. "Jackknife estimation of stationary autoregressive models," Journal of Econometrics, Elsevier, vol. 172(1), pages 142-157.
    22. Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 32/14, Institute for Fiscal Studies.
    23. 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.
    24. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    25. Haruo Iwakura & Ryo Okui, 2014. "Asymptotic Efficiency in Factor Models and Dynamic Panel Data Models," KIER Working Papers 887, Kyoto University, Institute of Economic Research.
    26. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    27. Okui, Ryo, 2011. "Asymptotically unbiased estimation of autocovariances and autocorrelations for panel data with incidental trends," Economics Letters, Elsevier, vol. 112(1), pages 49-52, July.
    28. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased inference for dynamic nonlinear models with two-way fixed effects," Papers 2305.03134, arXiv.org, revised Oct 2023.
    29. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers 60/13, Institute for Fiscal Studies.
    30. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    31. 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.
    32. William Lincoln & Andrew McCallum & Michael Siemer, 2018. "The Great Recession and a Missing Generation of Exporters," 2018 Meeting Papers 558, Society for Economic Dynamics.

  21. MOON, Hyungsik Roger & PERRON, Benoit., 2002. "Testing for a Unit Root in Panels with Dynamic Factors," Cahiers de recherche 2002-18, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Christian Dreger & Hans-Eggert Reimers, 2006. "Hysteresis and Persistence in the Course of Unemployment: The EU and US Experience," Discussion Papers of DIW Berlin 572, DIW Berlin, German Institute for Economic Research.
    2. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    3. Byrne, Joseph P. & Fiess, Norbert & MacDonald, Ronald, 2011. "The global dimension to fiscal sustainability," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 137-150, June.
    4. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    5. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Discussion Paper 2013-017, Tilburg University, Center for Economic Research.
    6. Gutierrez, Luciano, 2009. "Sampling at different frequencies, and the power of panel unit root tests," Economics Letters, Elsevier, vol. 102(1), pages 59-61, January.
    7. Binder, M. & Hsaio, C. & Pesaran, M.H., 2000. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Cambridge Working Papers in Economics 0003, Faculty of Economics, University of Cambridge.
    8. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    9. Lee, Yonghee & Shin, Dong Wan, 2009. "Optimal tests against the alternative hypothesis of panel unit roots," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2275-2283, April.
    10. Uwe Hassler & Matei Demetrescu & Adina Tarcolea, 2011. "Asymptotic normal tests for integration in panels with cross-dependent units," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 187-204, June.
    11. António Afonso & Christophe Rault, 2008. "3-Step Analysis of Public Finances Sustainability: the Case of the European Union," Working Papers hal-00322086, HAL.
    12. Zeqiraj, Veton & Sohag, Kazi & Soytas, Ugur, 2020. "Stock market development and low-carbon economy: The role of innovation and renewable energy," Energy Economics, Elsevier, vol. 91(C).
    13. Christophe RAULT & Guglielmo Maria CAPORALE & Thouraya HADJ AMOR, 2009. "International Financial Integration And Real Exchange Rate Long-Run Dynamics In Emerging Countries," William Davidson Institute Working Papers Series wp970, William Davidson Institute at the University of Michigan.
    14. Ehrhart Christophe & Matthieu Llorca, 2017. "Fiscal Sustainability in Central and Latin America Countries: Evidence from a Panel Cointegration Approach," Economics Bulletin, AccessEcon, vol. 37(4), pages 2292-2300.
    15. Bram van Dijk & Philip Hans Franses & Richard Paap & Dick van Dijk, 2011. "Modelling regional house prices," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2097-2110.
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    407. Ajide, Kazeem & Ridwan, Ibrahim, 2018. "Energy consumption, environmental contaminants, and economic growth: The G8 experience," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 51, pages 58-83.
    408. Zhang, Yang & Alharthi, Majed & Ahtsham Ali, Syed & Abbas, Qaiser & Taghizadeh-Hesary, Farhad, 2022. "The eco-innovative technologies, human capital, and energy pricing: Evidence of sustainable energy transition in developed economies," Applied Energy, Elsevier, vol. 325(C).
    409. Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017. "Sovereign debt spreads in EMU: The time-varying role of fundamentals and market distrust," Journal of Financial Stability, Elsevier, vol. 33(C), pages 187-206.
    410. Silika Prohl & Friedrich Schneider, 2009. "Does Decentralization Reduce Government Size? A Quantitative Study of the Decentralization Hypothesis," Public Finance Review, , vol. 37(6), pages 639-664, November.
    411. Westerlund, Joakim, 2005. "Pooled Unit Root Tests in Panels with a Common Factor," Working Papers 2005:9, Lund University, Department of Economics.
    412. Shahbaz, Muhammad & Khraief, Naceur & Kumar Mahalik, Mantu & Khan, Saleheen, 2018. "Military Spending Response to Defense Shocks? International Evidence," MPRA Paper 87362, University Library of Munich, Germany, revised 12 Jun 2018.
    413. Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    414. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    415. Bada, Oualid & Kneip, Alois, 2010. "Panel Data Models with Unobserved Multiple Time-Varying Effects to Estimate Risk Premium of Corporate Bonds," Bonn Econ Discussion Papers 19/2010, University of Bonn, Bonn Graduate School of Economics (BGSE).
    416. Chang, Yoosoon & Song, Wonho, 2005. "Unit Root Tests for Panels in the Presence of Short-run and Long-run Dependencies: Nonlinear IV Approach with Fixed N and Large T," Working Papers 2002-06, Rice University, Department of Economics.
    417. Zhu, Hui-Ming & Li, Su-Fang & Yu, Keming, 2011. "Crude oil shocks and stock markets: A panel threshold cointegration approach," Energy Economics, Elsevier, vol. 33(5), pages 987-994, September.
    418. ZEREN, Feyyaz & YILMAZ, Tayfun & BELKE, Murat, 2019. "Testing The Validity Of Fama French Five Factor Asset Pricing Model: Evidence From Turkey," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 23(2), pages 97-113, June.
    419. Maha Kalai & Nahed Zghidi, 2019. "Foreign Direct Investment, Trade, and Economic Growth in MENA Countries: Empirical Analysis Using ARDL Bounds Testing Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 397-421, March.
    420. Mark J. Holmes & Arthur Grimes, 2008. "Is There Long-run Convergence among Regional House Prices in the UK?," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1531-1544, July.
    421. Jönsson, Kristian, 2004. "Testing for Stationarity in Panel Data Models when Disturbances are Cross-Sectionally Correlated," Working Papers 2004:17, Lund University, Department of Economics, revised 26 Nov 2004.
    422. Nizar Harrathi & Ahmed Almohaimeed, 2022. "Determinants of Carbon Dioxide Emissions: New Empirical Evidence from MENA Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 469-482.
    423. Kappler Marcus, 2011. "Business Cycle Co-movement and Trade Intensity in the Euro Area: is there a Dynamic Link?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(2), pages 247-265, April.
    424. Mathilde Aubry & Jean Bonnet & Patricia Renou-Maissant, 2013. "Business cycle and entrepreneurial behavior using French regional data," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201304, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    425. Chih-Kai Chang & Tsangyao Chang, 2012. "Statistical evidence on the mean reversion of real interest rates: SPSM using the Panel KSS test with a Fourier function," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1299-1304, September.
    426. Qaiser Munir & Sook Ching Kok & Kasim Mansur, 2019. "External Shocks, Structural Breaks And Unemployment Hysteresis In Selected Asian Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(03), pages 575-600, June.
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    428. Fang, Zheng & Chen, Yang, 2017. "Electricity consumption, Education Expenditure and Economic Growth in Chinese Cities," RIEI Working Papers 2017-02, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    429. Mehmood, Bilal & Shahbaz, Muhammad & Jiao, Zhilun, 2023. "Do Muslim economies need insurance to grow? Answer from rigorous empirical evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 346-359.
    430. Mark Anderson & Soonchul Hyun & Hussein Warsame, 2024. "Corporate social responsibility, earnings management and firm performance: evidence from panel VAR estimation," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 341-364, January.
    431. Ankita Mishra & Vinod Mishra, 2018. "Re-examination of convergence hypothesis among Indian states in panel stationarity testing framework with structural breaks," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 268-286, January.
    432. 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.
    433. Solberger, M. & Zhou, X., 2013. "LM-type tests for idiosyncratic and common unit roots in the exact factor model with AR(1) dynamics," Research Memorandum 059, Maastricht University, Graduate School of Business and Economics (GSBE).
    434. Li, Xiao-Lin & Tang, D.P. & Chang, Tsangyao, 2014. "CO2 emissions converge in the 50 U.S. states — Sequential panel selection method," Economic Modelling, Elsevier, vol. 40(C), pages 320-333.
    435. Lean Hooi Hooi & Russell Smyth, 2007. "Are Asian real exchange rates mean reverting? Evidence from univariate and panel LM unit root tests with one and two structural breaks," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2109-2120.
    436. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    437. 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.
    438. Smruti Ranjan Behera, 2015. "Do Domestic Firms Really Benefit From Foreign Direct Investment? The Role Of Horizontal And Vertical Spillovers And Absorptive Capacity," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 40(2), pages 57-86, June.
    439. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, December.
    440. Kim, Hyeongwoo, 2009. "On the usefulness of the contrarian strategy across national stock markets: A grid bootstrap analysis," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 734-744, December.
    441. 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.
    442. Mariam Camarero & Josep Lluis Carrion‐I‐Silvestre & Cecilio Tamarit, 2009. "Testing For Real Interest Rate Parity Using Panel Stationarity Tests With Dependence: A Note," Manchester School, University of Manchester, vol. 77(1), pages 112-126, January.
    443. Christian Gengenbach & Franz C. Palm & Jean‐Pierre Urbain, 2006. "Cointegration Testing in Panels with Common Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 683-719, December.
    444. Josue Mbonigaba & Akinola Gbenga Wilfred, 2019. "Productivity effects of human capital: an empirical investigation of health and higher education in South Africa," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 277-301.
    445. Djaballah Mustapha, 2020. "The Relationship Between the Financial Innovation and the Money Supply: Empirical Study on the Maghreb Countries," Economics and Business, Sciendo, vol. 34(1), pages 168-178, February.
    446. Adams, Zeno & Füss, Roland, 2010. "Macroeconomic determinants of international housing markets," Journal of Housing Economics, Elsevier, vol. 19(1), pages 38-50, March.
    447. He, Huizhen & Chang, Tsangyao, 2013. "Purchasing power parity in transition countries: Sequential panel selection method," Economic Modelling, Elsevier, vol. 35(C), pages 604-609.
    448. Helmut Herwartz & Florian Siedenburg & Yabibal M. Walle, 2016. "Heteroskedasticity Robust Panel Unit Root Testing Under Variance Breaks in Pooled Regressions," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 727-750, May.
    449. Westerlund, J., 2006. "Some cautions on the use of the LLC panel unit root test," Research Memorandum 055, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    450. Westerlund, Joakim, 2015. "The power of PANIC," Journal of Econometrics, Elsevier, vol. 185(2), pages 495-509.
    451. Gengnan Chiang & Chin-Chi Liu, 2020. "The Impact of Regulatory Quality on the Nexus between Life Insurance Development and Economic Growth: Evidence from European Developing Countries," Bulletin of Applied Economics, Risk Market Journals, vol. 7(2), pages 141-152.
    452. Westerlund, Joakim & Narayan, Paresh, 2014. "Panel versus GARCH information in unit root testing with an application to financial markets," Economic Modelling, Elsevier, vol. 41(C), pages 173-176.
    453. Alvarado, Rafael & Murshed, Muntasir & Cifuentes-Faura, Javier & Işık, Cem & Razib Hossain, Mohammad & Tillaguango, Brayan, 2023. "Nexuses between rent of natural resources, economic complexity, and technological innovation: The roles of GDP, human capital and civil liberties," Resources Policy, Elsevier, vol. 85(PA).
    454. DRAMA Bédi Guy Hervé, 2022. "Full Modified Ordinary Least Square Analysis of the Relationship between New Technologies of Information, Financial Development and Growth in WAEMU Zone," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 8(2), pages 39-49, 06-2022.
    455. Luiz de Mello, 2007. "Local Government Finances: The Link between Intergovernmental Transfers and Net Worth," OECD Economics Department Working Papers 581, OECD Publishing.
    456. Shintani, Mototsugu & Guo, Zi-Yi, 2011. "Finite Sample Performance of Principal Components Estimators for Dynamic Factor Models: Asymptotic vs. Bootstrap Approximations," EconStor Preprints 167627, ZBW - Leibniz Information Centre for Economics.
    457. Hanifi FIRAT, 2016. "Is Real Gdp Stationary? Evidence From Some Unit Root Tests For The Advanced Economies," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 5(2), pages 60-80, DECEMBER.
    458. Asafu-Adjaye, John & Byrne, Dominic & Alvarez, Maximiliano, 2016. "Economic growth, fossil fuel and non-fossil consumption: A Pooled Mean Group analysis using proxies for capital," Energy Economics, Elsevier, vol. 60(C), pages 345-356.
    459. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    460. Nadia Benali and Kais Saidi, 2017. "A Robust Analysis of the Relationship between Natural Disasters, Electricity and Economic Growth in 41 Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 42(3), pages 89-109, September.
    461. Weining LI & Sen ZHANG & Jing ZHANG, 2015. "Top Management Team Heterogeneity, Diversification, And Corporate Performance: A Panel Smooth Transition Regression Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 129-142, March.
    462. Smruti Ranjan Behera, 2015. "International Capital Mobility and Saving-Investment Relationship in the Newly Industrialized Countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 287-308, May.
    463. Sini, Snow & Abdul-Rahim, A.S. & Chin, Lee & Said, Rusmawati & Sulaiman, Chindo, 2022. "Natural resources’ impact on capital flow and conflict relationship in Africa: A novel insight from GMM and quantile regression," Resources Policy, Elsevier, vol. 78(C).
    464. Peter Farkas & Laszlo Matyas, 2015. "Testing for Unit Roots in Panel Data with Boundary Crossing Counts," CEU Working Papers 2015_5, Department of Economics, Central European University, revised 03 Nov 2015.
    465. Romero-Ávila, Diego, 2009. "Are OECD consumption-income ratios stationary after all?," Economic Modelling, Elsevier, vol. 26(1), pages 107-117, January.
    466. Malzi, Mohamed Jaouad & Sohag, Kazi & Vasbieva, Dinara G. & Ettahir, Aziz, 2020. "Environmental policy effectiveness on residential natural gas use in OECD countries," Resources Policy, Elsevier, vol. 66(C).
    467. Kahia, Montassar & Aïssa, Mohamed Safouane Ben & Lanouar, Charfeddine, 2017. "Renewable and non-renewable energy use - economic growth nexus: The case of MENA Net Oil Importing Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 127-140.
    468. Tomás Baioni, 2021. "A Dynamic Fixed Effects and Nonlinear Causality Approach to analyze CO2 Emissions," Asociación Argentina de Economía Política: Working Papers 4432, Asociación Argentina de Economía Política.

  22. Seung Chan Ahn & Hyungsik Roger Moon, 2001. "Large-N and Large-T Properties of Panel Data Estimators and the Hausman Test," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A6-2, International Conferences on Panel Data.

    Cited by:

    1. Herwartz, Helmut & Neumann, Michael H., 2007. "A robust bootstrap approach to the Hausman test in stationary panel data models," Economics Working Papers 2007-29, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Agnese, Pablo, 2009. "Japan and her dealings with offshoring: An empirical analysis with aggregate data," IESE Research Papers D/793, IESE Business School.
    3. Ceyhun Haydaroglu, 2016. "The Effect of Foreign Direct Investment and Economic Freedom on Economic Growth: The Case of BRICS Countries," Research in World Economy, Research in World Economy, Sciedu Press, vol. 7(1), pages 1-10, June.
    4. Nihat Taş & Emrah Önder & Ali Hepşen, 2013. "Determinants of Economic Growth in G20 Countries: A Panel Data Approach," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 3(3), pages 572-572.
    5. Mamunur Rashid & Fauzias Mat Nor & Izani Ibrahim, 2013. "Evidence of Dividend Catering Theory in Malaysia: Implications for Investor Sentiment," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(4), December.

  23. Hyungsik Roger Moon, 2000. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Econometric Society World Congress 2000 Contributed Papers 0913, Econometric Society.

    Cited by:

    1. Gonçalves, Sílvia & Kaffo, Maximilien, 2015. "Bootstrap inference for linear dynamic panel data models with individual fixed effects," Journal of Econometrics, Elsevier, vol. 186(2), pages 407-426.
    2. Seung C. Ahn & Gareth M. Thomas, 2023. "Likelihood-based inference for dynamic panel data models," Empirical Economics, Springer, vol. 64(6), pages 2859-2909, June.
    3. Kruiniger, Hugo, 2009. "Gmm Estimation And Inference In Dynamic Panel Data Models With Persistent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1348-1391, October.
    4. Peter C.B. Phillips & Donggyu Sul, 2004. "Bias in Dynamic Panel Estimation with Fixed Effects, Incidental Trends and Cross Section Dependence," Yale School of Management Working Papers ysm428, Yale School of Management.
    5. Michael Jansson & Marcelo J. Moreira, 2006. "Optimal Inference in Regression Models with Nearly Integrated Regressors," Econometrica, Econometric Society, vol. 74(3), pages 681-714, May.
    6. 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.
    7. Milda Norkute & Joakim Westerlund & Ovidijus Stauskas, 2021. "The Factor Analytical Approach in Trending Near Unit Root Panels," Bank of Lithuania Working Paper Series 91, Bank of Lithuania.
    8. 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.
    9. Zhongwen Liang, 2017. "A Unified Approach on the Local Power of Panel Unit Root Tests," Papers 1710.02944, arXiv.org.
    10. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    11. 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.
    12. Hyungsik Roger Moon & Peter C. B. Phillips, 2004. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Econometrica, Econometric Society, vol. 72(2), pages 467-522, March.
    13. Peter C.B. Phillips & Hyungsik Roger Moon & Benoit Perron, 2004. "Incidental Trends and the Power of Panel Unit Root Tests," Yale School of Management Working Papers ysm414, Yale School of Management.
    14. Robinson, Peter M. & Velasco, Carlos, 2018. "Inference on trending panel data," Journal of Econometrics, Elsevier, vol. 206(2), pages 282-304.
    15. Erik Hjalmarsson, 2005. "Estimation of average local-to-unity roots in heterogenous panels," International Finance Discussion Papers 852, Board of Governors of the Federal Reserve System (U.S.).
    16. Stauskas, Ovidijus, 2019. "On the Limit Theory of Mixed to Unity VARs: Panel Setting With Weakly Dependent Errors," Working Papers 2019:2, Lund University, Department of Economics.
    17. John C. Chao & Peter C. B. Phillips, 2019. "Uniform Inference in Panel Autoregression," Econometrics, MDPI, vol. 7(4), pages 1-28, November.
    18. McMillan, David G., 2019. "Predicting firm level stock returns: Implications for asset pricing and economic links," The British Accounting Review, Elsevier, vol. 51(4), pages 333-351.
    19. Roy Cerqueti & Mauro Costantini & Luciano Gutierrez & Joakim Westerlund, 2019. "Panel stationary tests against changes in persistence," Statistical Papers, Springer, vol. 60(4), pages 1079-1100, August.
    20. Westerlund, Joakim, 2015. "The effect of recursive detrending on panel unit root tests," Journal of Econometrics, Elsevier, vol. 185(2), pages 453-467.
    21. Zhu, Min, 2018. "Informative fund size, managerial skill, and investor rationality," Journal of Financial Economics, Elsevier, vol. 130(1), pages 114-134.
    22. Bai, Jushan & Kao, Chihwa & Ng, Serena, 2009. "Panel cointegration with global stochastic trends," Journal of Econometrics, Elsevier, vol. 149(1), pages 82-99, April.
    23. Stambaugh, Robert F. & Pástor, Luboš & Taylor, Lucian, 2014. "Scale and Skill in Active Management," CEPR Discussion Papers 9854, C.E.P.R. Discussion Papers.
    24. Kajal Lahiri & Zhongwen Liang & Huaming Peng, 2017. "The Local Power of the IPS Test with Both Initial Conditions and Incidental Trends," CESifo Working Paper Series 6313, CESifo.
    25. Hayakawa, Kazuhiko, 2016. "Improved GMM estimation of panel VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 240-264.
    26. Dierk Herzer, 2019. "The long-run effect of aid on health: evidence from panel cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 51(12), pages 1319-1338, March.
    27. Arthur Grimes & Andrew Aitken, 2010. "Housing Supply, Land Costs and Price Adjustment," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(2), pages 325-353, June.
    28. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    29. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.
    30. Kooli, Maher & Zhang, Min, 2022. "Not only skill but also scale: Evidence from the hedge funds industry," International Review of Financial Analysis, Elsevier, vol. 83(C).

  24. Moon, H.R. & Perron, P., 2000. "The Seemingly Unrelated Dynamic Cointegration Regression Model and Testing for Purching Power Parity," Cahiers de recherche 2000-03, Centre interuniversitaire de recherche en économie quantitative, CIREQ.

    Cited by:

    1. Joerg Breitung & M. Hashem Pesaran, 2005. "Unit Roots and Cointegration in Panels," CESifo Working Paper Series 1565, CESifo.
    2. Nelson C. Mark & Masao Ogaki & Donggyu Sul, 2003. "Dynamic Seemingly Unrelated Cointegrating Regression," NBER Technical Working Papers 0292, National Bureau of Economic Research, Inc.
    3. Di Iorio, Francesca & Fachin, Stefano, 2008. "A note on the estimation of long-run relationships in dependent cointegrated panels," MPRA Paper 12053, University Library of Munich, Germany.
    4. Kok, Christoffer & Werner, Thomas, 2006. "Bank interest rate pass-through in the euro area: a cross country comparison," Working Paper Series 580, European Central Bank.
    5. Monika Blaszkiewicz & Przemek Kowalski & Lukasz Rawdanowicz & Przemyslaw Wozniak, 2004. "Harrod-Balassa-Samuelson Effect in Selected Countries of Central and Eastern Europe," CASE Network Reports 0057, CASE-Center for Social and Economic Research.
    6. Irandoust, Manuchehr & Ericsson, Johan, 2005. "Foreign aid, domestic savings, and growth in LDCs: An application of likelihood-based panel cointegration," Economic Modelling, Elsevier, vol. 22(4), pages 616-627, July.

  25. Peter C.B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Cowles Foundation Discussion Papers 1222, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    3. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Ms. Susan M Schadler & Mr. Pipat Luengnaruemitchai, 2007. "Do Economists’ and Financial Markets’ Perspectives on the New Members of the EU differ?," IMF Working Papers 2007/065, International Monetary Fund.
    5. Martin Iseringhausen & Hauke Vierke, 2018. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," European Economy - Discussion Papers 075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Carolyn Chisadza & Manoel Bittencourt, 2014. "Is Democracy Eluding Sub-Saharan Africa?," Working Papers 437, Economic Research Southern Africa.
    7. Gilbert Colletaz & Christophe Hurlin, 2006. "Threshold Effects of the Public Capital Productivity : An International Panel Smooth Transition Approach," Working Papers halshs-00008056, HAL.
    8. Ana G. Bus y José L. Nicolini-Llosa, 2015. "La renta diferencial agrícola en Argentina en 1986-2008, con datos de panel y co-integración," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 61, pages 53-79, January-D.
    9. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Discussion Paper 2013-017, Tilburg University, Center for Economic Research.
    10. Badi H. Baltagi & Chihwa Kao & Sanggon Na, 2011. "Test Of Hypotheses In Panel Data Models When The Regressor And Disturbances Are Possibly Nonstationary," Center for Policy Research Working Papers 128, Center for Policy Research, Maxwell School, Syracuse University.
    11. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    12. Usama Al-Mulali & Ilhan Ozturk & Hooi Lean, 2015. "The influence of economic growth, urbanization, trade openness, financial development, and renewable energy on pollution in Europe," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 621-644, October.
    13. Serge Mandiefe Piabuo & Peter A. Minang & Chupezi Julius Tieguhong & Divine Foundjem-Tita & Frankline Nghobuoche, 2021. "Illegal logging, governance effectiveness and carbon dioxide emission in the timber-producing countries of Congo Basin and Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14176-14196, October.
    14. Song, Tao & Zheng, Tingguo & Tong, Lianjun, 2008. "An empirical test of the environmental Kuznets curve in China: A panel cointegration approach," China Economic Review, Elsevier, vol. 19(3), pages 381-392, September.
    15. Michael J. Artis & Mathias Hoffmann, 2007. "The Home Bias and Capital Income Flows between Countries and Regions," IEW - Working Papers 316, Institute for Empirical Research in Economics - University of Zurich.
    16. Kapetanios, George & Pesaran, M. Hashem & Yamagata, Takashi, 2006. "Panels with Nonstationary Multifactor Error Structures," IZA Discussion Papers 2243, Institute of Labor Economics (IZA).
    17. McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June.
    18. Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2021. "Pooled Bewley Estimator of Long-Run Relationships in Dynamic Heterogenous Panels," Globalization Institute Working Papers 409, Federal Reserve Bank of Dallas, revised 08 Nov 2023.
    19. Westerlund, Joakim, 2005. "Panel Cointegration Tests of the Fisher Hypothesis," Working Papers 2005:10, Lund University, Department of Economics.
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  26. Hyungsik R. Moon & Peter C.B. Phillips, 1999. "Estimation of Autoregressive Roots Near Unity Using Panel Data," Cowles Foundation Discussion Papers 1224, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Kruiniger, Hugo, 2009. "Gmm Estimation And Inference In Dynamic Panel Data Models With Persistent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1348-1391, October.
    2. Peter C.B. Phillips & Donggyu Sul, 2004. "Bias in Dynamic Panel Estimation with Fixed Effects, Incidental Trends and Cross Section Dependence," Yale School of Management Working Papers ysm428, Yale School of Management.
    3. Hjalmarsson, Erik, 2005. "Predictive regressions with panel data," Working Papers in Economics 160, University of Gothenburg, Department of Economics.
    4. Moon, Hyungsik R. & Phillips, Peter C.B., 1999. "Estimation of Autoregressive Roots near Unity using Panel Data," University of California at Santa Barbara, Economics Working Paper Series qt7fd8x80m, Department of Economics, UC Santa Barbara.
    5. Michael Jansson & Marcelo J. Moreira, 2006. "Optimal Inference in Regression Models with Nearly Integrated Regressors," Econometrica, Econometric Society, vol. 74(3), pages 681-714, May.
    6. Erik Hjalmarsson, 2008. "Predicting global stock returns," International Finance Discussion Papers 933, Board of Governors of the Federal Reserve System (U.S.).
    7. Phillips, Peter C.B. & Moon, Hyungsik Roger & Xiao, Zhijie, 2001. "How To Estimate Autoregressive Roots Near Unity," Econometric Theory, Cambridge University Press, vol. 17(1), pages 29-69, February.
    8. Hyungsik R. Moon & Peter C.B. Phillips, 1999. "Maximum Likelihood Estimation in Panels with Incidental Trends," Cowles Foundation Discussion Papers 1246, Cowles Foundation for Research in Economics, Yale University.
    9. 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.
    10. Milda Norkute & Joakim Westerlund & Ovidijus Stauskas, 2021. "The Factor Analytical Approach in Trending Near Unit Root Panels," Bank of Lithuania Working Paper Series 91, Bank of Lithuania.
    11. Ai Deng, 2013. "Understanding Spurious Regression in Financial Economics," Journal of Financial Econometrics, Oxford University Press, vol. 12(1), pages 122-150, December.
    12. Peter C.B. Phillips & Joon Y. Park & Yoosoon Chang, 2001. "Nonlinear Instrumental Variable Estimation of an Autoregression," Cowles Foundation Discussion Papers 1331, Cowles Foundation for Research in Economics, Yale University.
    13. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    14. Westerlund, Joakim & Larsson, Rolf, 2015. "New tools for understanding the local asymptotic power of panel unit root tests," Journal of Econometrics, Elsevier, vol. 188(1), pages 59-93.
    15. McMillan, David G., 2013. "Consumption and stock prices: Evidence from a small international panel," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 76-88.
    16. Hyungsik Roger Moon & Peter C. B. Phillips, 2004. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Econometrica, Econometric Society, vol. 72(2), pages 467-522, March.
    17. Robinson, Peter M. & Velasco, Carlos, 2018. "Inference on trending panel data," Journal of Econometrics, Elsevier, vol. 206(2), pages 282-304.
    18. Hjalmarsson, Erik, 2008. "The Stambaugh bias in panel predictive regressions," Finance Research Letters, Elsevier, vol. 5(1), pages 47-58, March.
    19. Jamie Emerson & Chihwa Kao, 2000. "Testing for Structural Change of a Time Trend Regression in Panel Data," Center for Policy Research Working Papers 15, Center for Policy Research, Maxwell School, Syracuse University.
    20. Di Iorio, Francesca & Fachin, Stefano, 2010. "A Panel Cointegration study of the long-run relationship between Savings and Investments in the OECD economies, 1970-2007," MPRA Paper 25873, University Library of Munich, Germany.
    21. Erik Hjalmarsson, 2005. "Estimation of average local-to-unity roots in heterogenous panels," International Finance Discussion Papers 852, Board of Governors of the Federal Reserve System (U.S.).
    22. Stauskas, Ovidijus, 2019. "On the Limit Theory of Mixed to Unity VARs: Panel Setting With Weakly Dependent Errors," Working Papers 2019:2, Lund University, Department of Economics.
    23. McMillan, David G., 2019. "Predicting firm level stock returns: Implications for asset pricing and economic links," The British Accounting Review, Elsevier, vol. 51(4), pages 333-351.
    24. Roy Cerqueti & Mauro Costantini & Luciano Gutierrez & Joakim Westerlund, 2019. "Panel stationary tests against changes in persistence," Statistical Papers, Springer, vol. 60(4), pages 1079-1100, August.
    25. Westerlund, Joakim, 2015. "The effect of recursive detrending on panel unit root tests," Journal of Econometrics, Elsevier, vol. 185(2), pages 453-467.
    26. Zhu, Min, 2018. "Informative fund size, managerial skill, and investor rationality," Journal of Financial Economics, Elsevier, vol. 130(1), pages 114-134.
    27. Bai, Jushan & Kao, Chihwa & Ng, Serena, 2009. "Panel cointegration with global stochastic trends," Journal of Econometrics, Elsevier, vol. 149(1), pages 82-99, April.
    28. Stambaugh, Robert F. & Pástor, Luboš & Taylor, Lucian, 2014. "Scale and Skill in Active Management," CEPR Discussion Papers 9854, C.E.P.R. Discussion Papers.
    29. Hayakawa, Kazuhiko, 2016. "Improved GMM estimation of panel VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 240-264.
    30. Liyu Dou & Ulrich K. Müller, 2021. "Generalized Local‐to‐Unity Models," Econometrica, Econometric Society, vol. 89(4), pages 1825-1854, July.
    31. Arthur Grimes & Andrew Aitken, 2010. "Housing Supply, Land Costs and Price Adjustment," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(2), pages 325-353, June.
    32. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    33. Choi, Yongok & Jacewitz, Stefan & Park, Joon Y., 2016. "A reexamination of stock return predictability," Journal of Econometrics, Elsevier, vol. 192(1), pages 168-189.
    34. Kooli, Maher & Zhang, Min, 2022. "Not only skill but also scale: Evidence from the hedge funds industry," International Review of Financial Analysis, Elsevier, vol. 83(C).
    35. Emre Aylar & Stephan Smeekes & Joakim Westerlund, 2019. "Lag truncation and the local asymptotic distribution of the ADF test for a unit root," Statistical Papers, Springer, vol. 60(6), pages 2109-2118, December.
    36. Ovidijus Stauskas, 2020. "On the limit theory of mixed to unity VARs: Panel setting with weakly dependent errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(6), pages 892-898, November.
    37. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    38. Chihwa Kao & Long Liu, 2007. "Consistent Estimation with Weak Instruments in Panel Data," Center for Policy Research Working Papers 95, Center for Policy Research, Maxwell School, Syracuse University.

  27. Hyungsik R. Moon & Peter C.B. Phillips, 1999. "Maximum Likelihood Estimation in Panels with Incidental Trends," Cowles Foundation Discussion Papers 1246, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Win Chou & Dominica Lee, 2005. "Panel Cointegration Analysis of Audit Pricing Model," Review of Quantitative Finance and Accounting, Springer, vol. 24(4), pages 423-439, June.
    2. Peter C.B. Phillips & Donggyu Sul, 2004. "Bias in Dynamic Panel Estimation with Fixed Effects, Incidental Trends and Cross Section Dependence," Yale School of Management Working Papers ysm428, Yale School of Management.
    3. Olegs Tkacevs, 2020. "Secular Decline in Public Investment: are National Fiscal Rules to Blame?," Working Papers 2020/04, Latvijas Banka.
    4. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    5. Milda Norkute & Joakim Westerlund & Ovidijus Stauskas, 2021. "The Factor Analytical Approach in Trending Near Unit Root Panels," Bank of Lithuania Working Paper Series 91, Bank of Lithuania.
    6. 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.
    7. Westerlund, Joakim & Larsson, Rolf, 2009. "Testing for a Unit Root in a Random Coefficient Panel Data Model," Working Papers in Economics 383, University of Gothenburg, Department of Economics.
    8. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    9. 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.
    10. Westerlund, Joakim & Larsson, Rolf, 2015. "New tools for understanding the local asymptotic power of panel unit root tests," Journal of Econometrics, Elsevier, vol. 188(1), pages 59-93.
    11. Hyungsik Roger Moon & Peter C. B. Phillips, 2004. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Econometrica, Econometric Society, vol. 72(2), pages 467-522, March.
    12. Peter C.B. Phillips & Hyungsik Roger Moon & Benoit Perron, 2004. "Incidental Trends and the Power of Panel Unit Root Tests," Yale School of Management Working Papers ysm414, Yale School of Management.
    13. Robinson, Peter M. & Velasco, Carlos, 2018. "Inference on trending panel data," Journal of Econometrics, Elsevier, vol. 206(2), pages 282-304.
    14. Erik Hjalmarsson, 2005. "Estimation of average local-to-unity roots in heterogenous panels," International Finance Discussion Papers 852, Board of Governors of the Federal Reserve System (U.S.).
    15. Westerlund, Joakim & Breitung, Jörg, 2009. "Myths and Facts about Panel Unit Root Tests," Working Papers in Economics 380, University of Gothenburg, Department of Economics.
    16. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.
    17. 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.
    18. Topi, Jukka & Vilmunen, Jouko, 2001. "Transmission of monetary policy shocks in Finland: evidence from bank level data on loans," Working Paper Series 100, European Central Bank.
    19. 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.
    20. Westerlund, Joakim, 2015. "The power of PANIC," Journal of Econometrics, Elsevier, vol. 185(2), pages 495-509.

  28. Peter C.B. Phillips & Hyungsik R. Moon, 1999. "Nonstationary Panel Data Analysis: An Overview of Some Recent Developments," Cowles Foundation Discussion Papers 1221, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Vincent Bodart & Bertrand Candelon & Jean - François Carpantier, 2011. "Real exchanges rates in commodity producing countries : A reappraisal," Working Papers hal-01821152, HAL.
    2. Binder, M. & Hsaio, C. & Pesaran, M.H., 2000. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Cambridge Working Papers in Economics 0003, Faculty of Economics, University of Cambridge.
    3. Knut Are Aastveit & André K. Anundsen, 2017. "Asymmetric effects of monetary policy in regional housing markets," Working Paper 2017/25, Norges Bank.
    4. Chletsos Michael & Roupakias Stelios, 2020. "The effect of military spending on income inequality: evidence from NATO countries," Empirical Economics, Springer, vol. 58(3), pages 1305-1337, March.
    5. Shigeyuki HAMORI, 2008. "Trade Balances and the Terms of Trade in G-7 Countries: Penal Cointegration Approach," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 13-22.
    6. Manuchehr Irandoust, 2017. "Saving behaviour under terms-of-trade uncertainty: evidence from hidden cointegration approach," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 10(2), pages 135-150, May.
    7. Christophe Hurlin & Valérie Mignon, 2006. "Une synthèse des tests de cointégration sur données de panel," Working Papers halshs-00070887, HAL.
    8. Shahbaz, Muhammad & Islam , Faridul & Shabbir, Muhammad Shahbaz, 2012. "Phillips Curve in a Small Open Economy: A Time Series Exploration of North Cyprus," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(4), pages 113-130, December.
    9. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    10. Yoosoon Chang, 2004. "Taking a New Contour: A Novel Approach to Panel Unit Root Tests," Econometric Society 2004 Far Eastern Meetings 796, Econometric Society.
    11. Andrea Borsato, 2022. "An agent-based model for Secular Stagnation in the USA: theory and empirical evidence," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1345-1389, September.
    12. Herings, P.J.J. & van der Laan, G. & Talman, A.J.J. & Yang, Z.F., 2005. "A Fixed Point Theorem for Discontinuous Functions," Other publications TiSEM b5476df4-4fc0-420a-b4ee-0, Tilburg University, School of Economics and Management.
    13. Nguyen-Van, Phu, 2010. "Energy consumption and income: A semiparametric panel data analysis," Energy Economics, Elsevier, vol. 32(3), pages 557-563, May.
    14. Jerry Coakley & Ana-Maria Fuertes & Andrew Wood, 2004. "A new interpretation of the exchange rate-yield differential nexus," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 201-218.
    15. Mitze, Timo & Makkonen, Teemu, 2023. "Can large-scale RDI funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    16. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Identification of Panel Data Models with Endogenous Censoring," MPRA Paper 30373, University Library of Munich, Germany.
    17. Ravetti, Chiara & Cambini, Carlo, 2021. "Energy Use Beyond GDP: A Dynamic Panel Analysis with Different Development Indicators," Working Papers 10-2021, Copenhagen Business School, Department of Economics.
    18. Mr. Luc Eyraud & Ms. Changchang Zhang & Mr. Abdoul A Wane & Mr. Benedict J. Clements, 2011. "Who's Going Green and Why? Trends and Determinants of Green Investment," IMF Working Papers 2011/296, International Monetary Fund.
    19. Anindya Banerjee & Josep Lluis Carrion-i-Silvestre, 2011. "Testing for Panel Cointegration Using Common Correlated Effects," Discussion Papers 11-16, Department of Economics, University of Birmingham.
    20. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2007. "Bayesian Inference in a Cointegrating Panel Data Model," Working Paper series 02_07, Rimini Centre for Economic Analysis.
    21. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    22. Jacobo Campo Robledo & Henry Antonio Mendoza Tolosa, 2014. "Gasto Público y Crecimiento Económico regional en Colombia (1984 - 2012)," Documentos de Trabajo 12425, Universidad Católica de Colombia.
    23. Pedro Albuquerque & Wassim Rajhi, 2019. "Banking stability, natural disasters, and state fragility: Panel VAR evidence from developing countries," Post-Print hal-02270791, HAL.
    24. Hiller, Norbert & Lerbs, Oliver W., 2016. "Aging and urban house prices," ZEW Discussion Papers 15-024, ZEW - Leibniz Centre for European Economic Research, revised 2016.
    25. Alfonso ARPAIA & Alessandro TURRINI, 2008. "Government Expenditure and Economic Growth in the EU: Long-Run Tendencies and Short-Term Adjustment," EcoMod2008 23800006, EcoMod.
    26. José-Antonio Monteiro & Madina Kukenova, 2009. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," IRENE Working Papers 09-01, IRENE Institute of Economic Research.
    27. Deng, Ai & Perron, Pierre, 2008. "A non-local perspective on the power properties of the CUSUM and CUSUM of squares tests for structural change," Journal of Econometrics, Elsevier, vol. 142(1), pages 212-240, January.
    28. Chia, Poh San & Law, Siong Hook & Trinugroho, Irwan & Wiwoho, Jamal & Damayanti, Sylviana Maya & Sergi, Bruno S., 2022. "Dynamic linkages among transparency, income inequality and economic growth in developing countries: Evidence from panel vector autoregressive (PVAR) model," Research in International Business and Finance, Elsevier, vol. 60(C).
    29. Moon, Hyungsik R. & Phillips, Peter C.B., 1999. "Estimation of Autoregressive Roots near Unity using Panel Data," University of California at Santa Barbara, Economics Working Paper Series qt7fd8x80m, Department of Economics, UC Santa Barbara.
    30. Achim Schmillen, 2011. "Are Wages Equal Across Sectors of Production? A Panel Data Analysis for Tradable and Non-Tradable Goods," Working Papers 102, Bavarian Graduate Program in Economics (BGPE).
    31. Paul Alagidede & George Adu & Prince Boakye Frimpong, 2014. "The Effect of Climate Change on Economic Growth: Evidence from Sub-Saharan Africa," WIDER Working Paper Series wp-2014-017, World Institute for Development Economic Research (UNU-WIDER).
    32. Erik Hjalmarsson, 2008. "Predicting global stock returns," International Finance Discussion Papers 933, Board of Governors of the Federal Reserve System (U.S.).
    33. Herzer, Dierk & Strulik, Holger, 2013. "Religiosity and income: A panel cointegration and causality analysis," University of Göttingen Working Papers in Economics 168, University of Goettingen, Department of Economics.
    34. Caporale, Guglielmo Maria & Cerrato, Mario, 2004. "Panel Data Tests of PPP. A Critical Overview," Economics Series 159, Institute for Advanced Studies.
    35. Gabriel Bruneau & Kevin Moran, 2012. "Exchange Rate Fluctuations and Labour Market Adjustments in Canadian Manufacturing Industries," Cahiers de recherche 1227, CIRPEE.
    36. El-Shazly, Alaa, 2013. "Electricity demand analysis and forecasting: A panel cointegration approach," Energy Economics, Elsevier, vol. 40(C), pages 251-258.
    37. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2017. "Testing for Panel Cointegration Using Common Correlated Effects Estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(4), pages 610-636, July.
    38. Österholm, Pär, 2004. "Estimating the Relationship between Age Structure and GDP in the OECD Using Panel Cointegration Methods," Working Paper Series 2004:13, Uppsala University, Department of Economics.
    39. Russell Thomson & Paul Jensen, 2013. "The Effects of Government Subsidies on Business R&D Employment: Evidence From Oecd Countries," National Tax Journal, National Tax Association;National Tax Journal, vol. 66(2), pages 281-310, June.
    40. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    41. Mr. Willy A Hoffmaister & Mr. David T. Coe & Mr. Elhanan Helpman, 2008. "International R&D Spillovers and Institutions," IMF Working Papers 2008/104, International Monetary Fund.
    42. Herzer, Dierk, 2014. "The long-run relationship between trade and population health: evidence from five decades," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100441, Verein für Socialpolitik / German Economic Association.
    43. Md. Shabbir Alam & Mustafa Raza Rabbani & Mohammad Rumzi Tausif & Joji Abey, 2021. "Banks’ Performance and Economic Growth in India: A Panel Cointegration Analysis," Economies, MDPI, vol. 9(1), pages 1-13, March.
    44. Sequeira, Tiago & Santos, Marcelo & Ferreira-Lopes, Alexandra, 2014. "Income Inequality, TFP, and Human Capital," MPRA Paper 55471, University Library of Munich, Germany.
    45. Campo, Jacobo & Mendoza, Henry, 2018. "Gasto público y crecimiento económico: un análisis regional para Colombia, 1984-2012," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 88, pages 77-108, January.
    46. Pushan Dutt & V. Padmanabhan, 2011. "Crisis and Consumption Smoothing," Marketing Science, INFORMS, vol. 30(3), pages 491-512, 05-06.
    47. Neelu Seetaram & Sylvain Petit, 2012. "Panel data analysis in Tourism Research," Post-Print hal-01831529, HAL.
    48. Juan Aquino-Chávez & N.R. Ramírez-Rondán, 2017. "Estimating Factor Shares from Nonstationary Panel Data," Working Papers 89, Peruvian Economic Association.
    49. Zhongwen Liang, 2017. "A Unified Approach on the Local Power of Panel Unit Root Tests," Papers 1710.02944, arXiv.org.
    50. Igor Petruška & Eva Litavcová & Jana Chovancová, 2022. "Impact of Renewable Energy Sources and Nuclear Energy on CO 2 Emissions Reductions—The Case of the EU Countries," Energies, MDPI, vol. 15(24), pages 1-23, December.
    51. Mendi, Pedro, 2007. "Trade in disembodied technology and total factor productivity in OECD countries," Research Policy, Elsevier, vol. 36(1), pages 121-133, February.
    52. Robert J. Sonora & Josip Tica, 2014. "Harrod, Balassa, and Samuelson (re)visit Eastern Europe," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-17, December.
    53. Charles Shaaba Saba & Nicholas Ngepah, 2022. "Nexus between defence spending, economic growth and development: evidence from a disaggregated panel data analysis," Economic Change and Restructuring, Springer, vol. 55(1), pages 109-151, February.
    54. Badi H. Baltagi & Chihwa Kao & Long Liu, 2014. "Test of Hypotheses in a Time Trend Panel Data Model with Serially Correlated Error Component Disturbances," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 347-394, Emerald Group Publishing Limited.
    55. Rebucci, Alessandro, 2010. "Estimating VARs with long stationary heterogeneous panels: A comparison of the fixed effect and the mean group estimators," Economic Modelling, Elsevier, vol. 27(5), pages 1183-1198, September.
    56. Christev, Atanas & FitzRoy, Felix, 2002. "Employment and Wage Adjustment: Insider-Outsider Control in a Polish Privatization Panel Study," Journal of Comparative Economics, Elsevier, vol. 30(2), pages 251-275, June.
    57. Elena Kopnova & Lilia Rodionova, 2017. "An Analysis of the Economic Determinants of Food Security in North Africa," HSE Working papers WP BRP 166/EC/2017, National Research University Higher School of Economics.
    58. Wen-Den Chen, 2006. "Testing for spurious regression in a panel data model with the individual number and time length growing," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(8), pages 759-772.
    59. Liu, Ying & Feng, Chao, 2023. "Promoting renewable energy through national energy legislation," Energy Economics, Elsevier, vol. 118(C).
    60. Stephen Taiwo Onifade & Abdul Qahar Khatir & Ahmet Ay & Murat Canitez, 2022. "Reviewing the Trade Openness, Domestic Investment, and Economic Growth Nexus: Contemporary Policy Implications for the MENA Region," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 14(2), pages 489-512, June.
    61. Silvia GOLEM & Lena MALEŠEVIC PEROVIC, 2014. "An Empirical Analysis of the Relationship between Fiscal Decentralization and the Size of Government," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(1), pages 30-58, February.
    62. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
    63. Jerry Coakley & Ana-Maria Fuertes & Fabio Spagnolo, 2004. "The Feldstein-Horioka puzzle is not as bad as you think," Money Macro and Finance (MMF) Research Group Conference 2003 17, Money Macro and Finance Research Group.
    64. Bennouna, Hicham, 2019. "Interest rate pass-through in Morocco: Evidence from bank-level survey data," Economic Modelling, Elsevier, vol. 80(C), pages 142-157.
    65. Mariarosaria Comunale, 2020. "The persistently high rate of suicide in Lithuania: an updated view," Bank of Lithuania Discussion Paper Series 21, Bank of Lithuania.
    66. Inmaculada Buendía-Martínez & Agustín Álvarez-Herranz & Mercedes Moreira Menéndez, 2020. "Business Cycle, SSE Policy, and Cooperatives: The Case of Ecuador," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    67. Rodríguez-Benavides, Domingo & Mendoza-González, Miguel Ángel & Venegas-Martínez, Francisco, 2014. "¿Realmente existe convergencia regional en México? Un modelo no lineal de datos panel TAR [Is There Really Regional Convergence in Mexico? A Non-linear Panel-Data TAR Model]," MPRA Paper 56874, University Library of Munich, Germany.
    68. Georges Bresson & Badi H. Baltagi & Alain Pirotte, 2007. "Panel unit root tests and spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 339-360.
    69. Joseph F. Francois & Julia Wörz, 2011. "Shifts in International Trade and Value Added from 1995 to 2007: Insights into the Drivers of Growth," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 37-56.
    70. Emam, Sherief & Grebel, Thomas, 2014. "Rising energy prices and advances in renewable energy technologies," Ilmenau Economics Discussion Papers 91, Ilmenau University of Technology, Institute of Economics.
    71. Audi, Marc & Ali, Amjad, 2018. "Determinants of Environmental Degradation under the Perspective of Globalization: A Panel Analysis of Selected MENA Nations," MPRA Paper 85776, University Library of Munich, Germany.
    72. Canning, David & Bennathan, Esra, 2000. "The social rate of return on infrastructure investments," Policy Research Working Paper Series 2390, The World Bank.
    73. Stelios Bekiros & Bo Sjö & Richard J. Sweeney, 2018. "Pitfalls In Cross‐Section Studies With Integrated Regressors: A Survey And New Developments," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1045-1073, September.
    74. Edward F. Blackburne III & Mark W. Frank, 2007. "Estimation of nonstationary heterogeneous panels," Stata Journal, StataCorp LP, vol. 7(2), pages 197-208, June.
    75. Josep Lluis Carrion Silvestre & Tomas del Barrio Castro & Enrique Lopez Bazo, 2003. "Breaking the panels. An application to the GDP per capita," Working Papers in Economics 97, Universitat de Barcelona. Espai de Recerca en Economia.
    76. Candelon, Bertrand & Kool, Clemens & Raabe, Katharina & van Veen, Tom, 2007. "Long-run real exchange rate determinants: Evidence from eight new EU member states, 1993-2003," Journal of Comparative Economics, Elsevier, vol. 35(1), pages 87-107, March.
    77. Arlene Garces-Ozanne, 2006. "A bounds test approach to the study of level relationships in a panel of high-performing Asian economies (hpaes)," Working Papers 0607, University of Otago, Department of Economics, revised Nov 2006.
    78. Duo Qin & Haiyan Song, 2007. "Sources of Investment Inefficiency: The Case of Fixed-Asset Investment in China," Working Papers 584, Queen Mary University of London, School of Economics and Finance.
    79. António Afonso, 2002. "Disturbing the fiscal theory of the price level: Can it fit the eu-15?," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B4-3, International Conferences on Panel Data.
    80. Lukman O Oyelami, 2019. "Relative effects of regional and global trade on carbon emissions in ECOWAS member countries," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 22(1), pages 64-75, March.
    81. M. E. Bontempi & L. Bottazzi & R. Golinelli, 2015. "Dynamic corporate capital structure behavior: empirical assessment in the light of heterogeneity and non stationarity," Working Papers wp988, Dipartimento Scienze Economiche, Universita' di Bologna.
    82. Muhammad Shahbaz & Talat Afza & Muhammad Shahbaz Shabbir, 2013. "Does Defence Spending Impede Economic Growth? Cointegration And Causality Analysis For Pakistan," Defence and Peace Economics, Taylor & Francis Journals, vol. 24(2), pages 105-120, April.
    83. Ricardo Bebczuk & Tamara Burdisso & Máximo Sangiácomo, 2012. "Credit vs. Payment Services: Financial Development and Economic Activity Revisited," BCRA Working Paper Series 201256, Central Bank of Argentina, Economic Research Department.
    84. Liu, Yucan & Shumway, C. Richard, 2005. "Indirect Utility Maximization under Risk: A Heterogeneous Panel Application," 2005 Annual Meeting, July 6-8, 2005, San Francisco, California 36307, Western Agricultural Economics Association.
    85. Manuel Ennes Ferreira & João Dias & Jelson Serafim, 2022. "Stock Market and Economic Growth: Evidence from Africa," Working Papers REM 2022/0228, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    86. Mark W. Frank, 2008. "A New State-Level Panel of Annual Inequality Measures Over the Period 1916 – 2005," Working Papers 0802, Sam Houston State University, Department of Economics and International Business.
    87. Khanal, Aditya R. & Mishra, Ashok K. & Bhattarai, Madhusudan, 2014. "Weather Risk and Cropping Intensity: A Non-Stationary and Dynamic Panel Modeling Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170603, Agricultural and Applied Economics Association.
    88. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    89. Raffaela Giordano & Marcello Pericoli & Pietro Tommasino, 2013. "Pure or Wake-up-Call Contagion? Another Look at the EMU Sovereign Debt Crisis," International Finance, Wiley Blackwell, vol. 16(2), pages 131-160, June.
    90. Songtao He & Shuigen Yang & Amar Razzaq & Sahar Erfanian & Azhar Abbas, 2023. "Mechanism and Impact of Digital Economy on Urban Economic Resilience under the Carbon Emission Scenarios: Evidence from China’s Urban Development," IJERPH, MDPI, vol. 20(5), pages 1-20, March.
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    99. Jacobo Campo & Henry Mendoza, 2018. "Public expenditure and economic growth: a regional analysis for Colombia, 1984-2012," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 88, pages 77-108, Enero - J.
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    104. Jindřich Špička & Markéta Arltová & Petr Boukal, 2019. "Selected Socioeconomic Determinants of the Size of the Nonprofit Sector Serving Households in the OECD Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(3), pages 276-295.
    105. Badi H. Baltagi & Chihwa Kao & Long Liu, 2020. "Testing for shifts in a time trend panel data model with serially correlated error component disturbances," Econometric Reviews, Taylor & Francis Journals, vol. 39(8), pages 745-762, September.
    106. Dirk HOORELBEKE, 2010. "Testing for Hysteresis in Unemployment in the Belgian Regions," EcoMod2010 259600075, EcoMod.
    107. Andrea Borsato, 2021. "An Agent-based Model for Secular Stagnation in the USA: Theory and Empirical Evidence," LEM Papers Series 2021/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    108. Edmond, Chris, 2001. "Some Panel Cointegration Models of International R&D Spillovers," Journal of Macroeconomics, Elsevier, vol. 23(2), pages 241-260, April.
    109. Deniz Baglan & Emre Yoldas, 2013. "Government debt and macroeconomic activity: a predictive analysis for advanced economies," Finance and Economics Discussion Series 2013-05, Board of Governors of the Federal Reserve System (U.S.).
    110. Fahr, René & Sunde, Uwe, 2001. "Disaggregate Matching Functions," IZA Discussion Papers 335, Institute of Labor Economics (IZA).
    111. António Afonso, 2005. "Ricardian Fiscal Regimes in the European Union," Working Papers Department of Economics 2005/18, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    112. Achim Schmillen, 2013. "Are wages equal across sectors of production?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(4), pages 655-682, October.
    113. Enn Lun Yong, 2019. "Unemployment and the European Union, 2000–2017: structural exploration of distant past economic experience and future prosperity," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-21, December.
    114. Chang, Yoosoon, 2003. "Nonlinear IV Panel Unit Root Tests," Working Papers 2003-06, Rice University, Department of Economics.
    115. Zeira, Joseph & di Vaio, Gianfranco & Battisti, Michele, 2013. "Global Divergence in Growth Regressions," CEPR Discussion Papers 9687, C.E.P.R. Discussion Papers.
    116. Jerry Coakley & Ana‐Maria Fuertes & Fabio Spagnolo, 2004. "Is the Feldstein–Horioka Puzzle History?," Manchester School, University of Manchester, vol. 72(5), pages 569-590, September.
    117. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    118. Chang, Yoosoon & Nguyen, Chi Mai, 2012. "Residual based tests for cointegration in dependent panels," Journal of Econometrics, Elsevier, vol. 167(2), pages 504-520.
    119. Eyraud, Luc & Clements, Benedict & Wane, Abdoul, 2013. "Green investment: Trends and determinants," Energy Policy, Elsevier, vol. 60(C), pages 852-865.
    120. Naeem AKRAM & Muhammad Irfan AKRAM, 2015. "Savings Behaviour In Muslim And Non-Muslim Countries In Context To The Interest Rate," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 25(2), pages 161-177.
    121. Trapani, Lorenzo, 2012. "On the asymptotic t-test for large nonstationary panel models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3286-3306.
    122. Neelu Seeteram, 2010. "A Study of Outbound Tourism From Australia," Monash Economics Working Papers 47-10, Monash University, Department of Economics.
    123. Qin, Duo, 2006. "Is China's growing service sector leading to cost disease?," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 267-287, September.
    124. Torrini, Roberto, 2005. "Cross-country differences in self-employment rates: the role of institutions," Labour Economics, Elsevier, vol. 12(5), pages 661-683, October.
    125. Afees A. Salisu & Kazeem Isah, 2017. "A Capital Flight-Growth Nexus in Sub-Saharan Africa: The Role of Macroeconomic Uncertainty," Working Papers 034, Centre for Econometric and Allied Research, University of Ibadan.
    126. Shin-Ichi Nishiyama, 2011. "The Cross-Euler Equation Approach to testing for the Liquidity Constraint: Evidence from Macro and Micro Data," TERG Discussion Papers 273, Graduate School of Economics and Management, Tohoku University.
    127. Topi, Jukka & Vilmunen, Jouko, 2001. "Transmission of monetary policy shocks in Finland: evidence from bank level data on loans," Working Paper Series 100, European Central Bank.
    128. Bohlin, Jan & Eurenius, Anna-Maria, 2010. "Why they moved -- Emigration from the Swedish countryside to the United States, 1881-1910," Explorations in Economic History, Elsevier, vol. 47(4), pages 533-551, October.
    129. Josef Arlt & Markéta Arltová, 2005. "Vztah deficitu běžného účtu platební bilance a rozpočtového deficitu - analýza panelových dat [The relationship of budget deficit and current account balance - panel data analysis]," Politická ekonomie, Prague University of Economics and Business, vol. 2005(6), pages 747-764.
    130. Jalil, Abdul, 2014. "Energy–growth conundrum in energy exporting and importing countries: Evidence from heterogeneous panel methods robust to cross-sectional dependence," Energy Economics, Elsevier, vol. 44(C), pages 314-324.
    131. Bhupal Singh, 2022. "Housing and stock market wealth effects in developing economies," International Economics and Economic Policy, Springer, vol. 19(1), pages 29-49, February.
    132. Georgios E. Chortareas & Rebecca L. Driver, 2001. "PPP and the real exchange rate-real interest rate differential puzzle revisited: evidence from non-stationary panel data," Bank of England working papers 138, Bank of England.
    133. Simon Stevenson, 2016. "Macro-Economic and Financial Determinants of Comovement across Global Real Estate Security Markets," Journal of Real Estate Research, American Real Estate Society, vol. 38(4), pages 595-624.
    134. René Fahr & Uwe Sunde, 2002. "On the Effects of Career Choice: Matching Efficiency of Different Occupations and Education Levels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B1-1, International Conferences on Panel Data.
    135. Jesús Mur & Fernando López, 2010. "Modeling spatiotemporal data: an issue in honor of Dr. Jean Paelinck," Journal of Geographical Systems, Springer, vol. 12(2), pages 105-109, June.
    136. Ashok Parikh & Elizabeth Wakerly, 2000. "Real exchange rates and unit root tests," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 136(3), pages 478-490, September.
    137. Abd. Ghani, Judhiana & Grewal, Bhajan & Ahmed, Abdullahi D. & Mohamed Nor, Norashidah, 2019. "Fiscal Decentralisation and Economic Growth in Malaysia: A Market Preserving Federalism Perspective," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(1), pages 153-170.
    138. Deng, Jiapin & Liu, Yanchu, 2022. "Does digital finance reduce the employment in the finance industry? Evidence from China," Finance Research Letters, Elsevier, vol. 48(C).
    139. Sanja Samirana Pattnayak & Shandre Thangavelu, 2010. "Economic liberalization and productivity for selected Indian manufacturing industries: a panel cointegration approach," Applied Economics, Taylor & Francis Journals, vol. 42(2), pages 197-209.
    140. Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(C).
    141. B. Candelon & C.J.M. Kool & K. Raabe & T. van Veen, 2005. "The feasibility of a fixed exchange rate regime for new EU-members: evidence from real exchange rates," Working Papers 05-09, Utrecht School of Economics.
    142. C. Bortoli & L. Harreau & C. Pouvelle, 2014. "Determinants of OECD countries’ sovereign yields: safe havens, purgatory, and the damned," Working papers 494, Banque de France.
    143. Silika Prohl & Friedrich G. Schneider, 2006. "Sustainability of Public Debt and Budget Deficit: Panel cointegration analysis for the European Union Member countries," Economics working papers 2006-10, Department of Economics, Johannes Kepler University Linz, Austria.
    144. Johannes Pöschl & Neil Foster-McGregor & Robert Stehrer, 2016. "International R&D Spillovers and Business Service Innovation," The World Economy, Wiley Blackwell, vol. 39(12), pages 2025-2045, December.
    145. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2002. "Separation, Weak Exogeneity, And P-T Decomposition In Cointegrated Var Systems With Common Features," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 273-307.
    146. António Afonso, 2007. "Expansionary fiscal consolidations in Europe: part of conventional wisdom?," Money Macro and Finance (MMF) Research Group Conference 2006 50, Money Macro and Finance Research Group.
    147. Christos Ioannidis & David A. Peel & Michael J. Peel, 2003. "The Time Series Properties of Financial Ratios: Lev Revisited," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5‐6), pages 699-714, June.
    148. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, December.
    149. Tasnim Ahmed & Mohammad Mazibar Rahman & Mahbuba Aktar & Anupam Gupta & Mohammad Zoynul Abedin, 2023. "The impact of economic development on environmental sustainability: evidence from the Asian region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3523-3553, April.
    150. Tomás Baioni, 2021. "A Dynamic Fixed Effects and Nonlinear Causality Approach to analyze CO2 Emissions," Asociación Argentina de Economía Política: Working Papers 4432, Asociación Argentina de Economía Política.
    151. Irandoust, Manuchehr & Ericsson, Johan, 2005. "Foreign aid, domestic savings, and growth in LDCs: An application of likelihood-based panel cointegration," Economic Modelling, Elsevier, vol. 22(4), pages 616-627, July.

  29. Peter C.B. Phillips & Hyungsik R. Moon & Zhijie Xiao, 1998. "How to Estimate Autoregressive Roots Near Unity," Cowles Foundation Discussion Papers 1191, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Wang, Qiying & Wu, Dongsheng & Zhu, Ke, 2018. "Model checks for nonlinear cointegrating regression," Journal of Econometrics, Elsevier, vol. 207(2), pages 261-284.
    2. Brissimis, Sophocles & Migiakis, Petros, 2010. "Inflation persistence and the rationality of inflation expectations," MPRA Paper 29052, University Library of Munich, Germany.
    3. Donggyu Sul & Peter C. B. Phillips & Chi‐Young Choi, 2005. "Prewhitening Bias in HAC Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 517-546, August.
    4. Charlotte S. Hansen & Bjorn E. Tuypens, 2004. "Long-Run Regressions: Theory and Application to US Asset Markets," Finance 0410018, University Library of Munich, Germany.
    5. E. E. Ioannidis & G. A. Chronis, 2005. "Extreme Spectra of Var Models and Orders of Near‐Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(3), pages 399-421, May.
    6. Moon, Hyungsik R. & Phillips, Peter C.B., 1999. "Estimation of Autoregressive Roots near Unity using Panel Data," University of California at Santa Barbara, Economics Working Paper Series qt7fd8x80m, Department of Economics, UC Santa Barbara.
    7. Baharumshah, Ahmad Zubaidi & Soon, Siew-Voon & Hamzah, Nor Aishah, 2013. "Parity reversion in real interest rate in the Asian countries: Further evidence based on local-persistent model," Economic Modelling, Elsevier, vol. 35(C), pages 634-642.
    8. Hyungsik R. Moon & Peter C.B. Phillips, 1999. "Maximum Likelihood Estimation in Panels with Incidental Trends," Cowles Foundation Discussion Papers 1246, Cowles Foundation for Research in Economics, Yale University.
    9. H. Peter Boswijk, 2001. "Block Local to Unity and Continuous Record Asymptotics," Tinbergen Institute Discussion Papers 01-078/4, Tinbergen Institute.
    10. Kim, Soyoung & Lima, Luiz Renato, 2010. "Local persistence and the PPP hypothesis," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 555-569, April.
    11. Ai Deng, 2013. "Understanding Spurious Regression in Financial Economics," Journal of Financial Econometrics, Oxford University Press, vol. 12(1), pages 122-150, December.
    12. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    13. Chambers, MJ & Kyriacou, M, 2016. "Jackknife Bias Reduction in the Presence of a Near-Unit Root," Economics Discussion Papers 17623, University of Essex, Department of Economics.
    14. Sabzikar, Farzad & Wang, Qiying & Phillips, Peter C.B., 2020. "Asymptotic theory for near integrated processes driven by tempered linear processes," Journal of Econometrics, Elsevier, vol. 216(1), pages 192-202.
    15. Christis Katsouris, 2022. "Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions," Papers 2204.02073, arXiv.org, revised Aug 2023.
    16. Erik Hjalmarsson, 2005. "Estimation of average local-to-unity roots in heterogenous panels," International Finance Discussion Papers 852, Board of Governors of the Federal Reserve System (U.S.).
    17. Baharumshah, Ahmad Zubaidi & Soon, Siew-Voon & Boršič, Darja, 2013. "Real interest parity in Central and Eastern European countries: Evidence on integration into EU and the US markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 163-180.
    18. Bo Zhang & Jiti Gao & Guangming Pan, 2019. "A Near Unit Root Test for High-Dimensional Nonstationary Time Series," Monash Econometrics and Business Statistics Working Papers 10/19, Monash University, Department of Econometrics and Business Statistics.
    19. Chen, Ye & Phillips, Peter C.B. & Yu, Jun, 2017. "Inference in continuous systems with mildly explosive regressors," Journal of Econometrics, Elsevier, vol. 201(2), pages 400-416.
    20. Chevillon, Guillaume, 2007. "Inference in the Presence of Stochastic and Deterministic Trends," ESSEC Working Papers DR 07021, ESSEC Research Center, ESSEC Business School.
    21. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    22. Soon, Siew-Voon & Baharumshah, Ahmad Zubaidi & Mohamad Shariff, Nurul Sima, 2017. "The persistence in real interest rates: Does it solve the intertemporal consumption behavior puzzle?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 36-51.
    23. Bo Zhang & Jiti Gao & Guangming Pan, 2020. "Estimation and Testing for High-Dimensional Near Unit Root Time Series," Monash Econometrics and Business Statistics Working Papers 12/20, Monash University, Department of Econometrics and Business Statistics.
    24. Jeong, Minsoo, 2022. "Modelling persistent stationary processes in continuous time," Economic Modelling, Elsevier, vol. 109(C).
    25. Peter C.B. Phillips, 2003. "Laws and Limits of Econometrics," Cowles Foundation Discussion Papers 1397, Cowles Foundation for Research in Economics, Yale University.
    26. Frühwirth, Manfred & Sögner, Leopold, 2015. "Weather and SAD related mood effects on the financial market," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 11-31.
    27. Baharumshah, Ahmad Zubaidi & Soon, Siew-Voon & Lau, Evan, 2017. "Fiscal sustainability in an emerging market economy: When does public debt turn bad?," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 99-113.
    28. Ovidijus Stauskas, 2023. "Complete Theory for CCE Under Heterogeneous Slopes and General Unknown Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 283-303, April.
    29. Emre Aylar & Stephan Smeekes & Joakim Westerlund, 2019. "Lag truncation and the local asymptotic distribution of the ADF test for a unit root," Statistical Papers, Springer, vol. 60(6), pages 2109-2118, December.
    30. Dimitris A. Georgoutsos & Petros Migiakis, 2010. "European sovereign bond spreads: monetary unification, market conditions and financial integration," Working Papers 115, Bank of Greece.
    31. Lima, Luiz Renato & Xiao, Zhijie, 2007. "Do shocks last forever? Local persistency in economic time series," Journal of Macroeconomics, Elsevier, vol. 29(1), pages 103-122, March.

Articles

  1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Forecasting With Dynamic Panel Data Models," Econometrica, Econometric Society, vol. 88(1), pages 171-201, January.
    See citations under working paper version above.
  2. Benjamin J Gillen & Sergio Montero & Hyungsik Roger Moon & Matthew Shum, 2019. "BLP-2LASSO for aggregate discrete choice models with rich covariates," The Econometrics Journal, Royal Economic Society, vol. 22(3), pages 262-281.

    Cited by:

    1. Haoge Chang & Yusuke Narita & Kota Saito, 2022. "Approximating Choice Data by Discrete Choice Models," Papers 2205.01882, arXiv.org, revised Dec 2023.
    2. Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
    3. Masayuki Sawada & Kohei Kawaguchi, 2020. "Estimating High-Dimensional Discrete Choice Model of Differentiated Products with Random Coefficients," Papers 2004.08791, arXiv.org.
    4. Brett R. Gordon & Mitchell J. Lovett & Bowen Luo & James C. Reeder, 2023. "Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections," Management Science, INFORMS, vol. 69(1), pages 220-243, January.
    5. Wang, Ao, 2021. "A BLP Demand Model of Product-Level Market Shares with Complementarity," The Warwick Economics Research Paper Series (TWERPS) 1351, University of Warwick, Department of Economics.

  3. Moon, Hyungsik Roger & Shum, Matthew & Weidner, Martin, 2018. "Estimation of random coefficients logit demand models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 613-644.
    See citations under working paper version above.
  4. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Inference for VARs identified with sign restrictions," Quantitative Economics, Econometric Society, vol. 9(3), pages 1087-1121, November.
    See citations under working paper version above.
  5. Moon, Hyungsik Roger & Weidner, Martin, 2017. "Dynamic Linear Panel Regression Models With Interactive Fixed Effects," Econometric Theory, Cambridge University Press, vol. 33(1), pages 158-195, February.
    See citations under working paper version above.
  6. 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.

    Cited by:

    1. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    2. 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.
    3. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2019. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove–Arrow Framework," Management Science, INFORMS, vol. 65(11), pages 5197-5218, November.
    4. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    5. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. 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.
    7. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    8. Kuzman, Tanja & Lazarevic, Jelisaveta & Nedeljkovic, Milan, 2022. "Capital flows liberalisation and macroprudential policies: The effects on credit cycles in emerging economies," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 602-619.
    9. Yiren Wang & Peter C. B. Phillips & Liangjun Su, 2023. "Panel Data Models with Time-Varying Latent Group Structures," Cowles Foundation Discussion Papers 2364, Cowles Foundation for Research in Economics, Yale University.
    10. 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.
    11. Sinem Hacıoğlu Hoke & George Kapetanios, 2021. "Common correlated effect cross‐sectional dependence corrections for nonlinear conditional mean panel models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 125-150, January.
    12. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    13. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
    14. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    15. Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
    16. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
    17. Chau, Thi Tuyet Trang & Ailliot, Pierre & Monbet, Valérie, 2021. "An algorithm for non-parametric estimation in state–space models," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).
    18. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.

  7. Jinyong Hahn & Hyungsik Roger Moon & Connan Snider, 2017. "LM Test of Neglected Correlated Random Effects and Its Application," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 359-370, July.

    Cited by:

    1. Xiao, Ruli, 2018. "Identification and estimation of incomplete information games with multiple equilibria," Journal of Econometrics, Elsevier, vol. 203(2), pages 328-343.

  8. Hyungsik Roger Moon & Martin Weidner, 2015. "Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects," Econometrica, Econometric Society, vol. 83(4), pages 1543-1579, July.
    See citations under working paper version above.
  9. Eleanor Jawon Choi & Hyungsik Roger Moon & Geert Ridder, 2014. "Estimation of an Education Production Function under Random Assignment with Selection," American Economic Review, American Economic Association, vol. 104(5), pages 206-211, May.
    See citations under working paper version above.
  10. Hyungsik Roger Moon & Benoit Perron & Peter C. B. Phillips, 2014. "Point‐optimal panel unit root tests with serially correlated errors," Econometrics Journal, Royal Economic Society, vol. 17(3), pages 338-372, October.

    Cited by:

    1. Samuel Brien & Michael Jansson & Morten Ørregaard Nielsen, 2022. "Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order," Working Paper 1429, Economics Department, Queen's University.
    2. John C. Chao & Peter C. B. Phillips, 2019. "Uniform Inference in Panel Autoregression," Econometrics, MDPI, vol. 7(4), pages 1-28, November.
    3. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.
    4. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.

  11. Granziera, Eleonora & Hubrich, Kirstin & Moon, Hyungsik Roger, 2014. "A predictability test for a small number of nested models," Journal of Econometrics, Elsevier, vol. 182(1), pages 174-185.
    See citations under working paper version above.
  12. Hyungsik Roger Moon & Frank Schorfheide, 2012. "Bayesian and Frequentist Inference in Partially Identified Models," Econometrica, Econometric Society, vol. 80(2), pages 755-782, March.
    See citations under working paper version above.
  13. Moon, H.R. & Perron, B., 2012. "Beyond panel unit root tests: Using multiple testing to determine the nonstationarity properties of individual series in a panel," Journal of Econometrics, Elsevier, vol. 169(1), pages 29-33.
    See citations under working paper version above.
  14. Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.
    See citations under working paper version above.
  15. Hahn, Jinyong & Ham, John & Moon, Hyungsik Roger, 2011. "Test of random versus fixed effects with small within variation," Economics Letters, Elsevier, vol. 112(3), pages 293-297, September.

    Cited by:

    1. Joseph L Dieleman & Tara Templin, 2014. "Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-17, October.
    2. Stefan Schmid & Felix Roedder, 2022. "Much ado about diversity? The perpetuation of old elites on corporate boards," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3263-3285, December.
    3. Wang, Yun & Zhang, Yonghui & Zhou, Qiankun, 2016. "A Stein-like estimator for linear panel data models," Economics Letters, Elsevier, vol. 141(C), pages 156-161.

  16. Hahn, Jinyong & Ham, John C. & Moon, Hyungsik Roger, 2011. "The Hausman test and weak instruments," Journal of Econometrics, Elsevier, vol. 160(2), pages 289-299, February.

    Cited by:

    1. Loban, Lidia & Sarto, José Luis & Vicente, Luis, 2021. "Determinants of non-compliant equity funds with EU portfolio concentration limits," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
    2. Doko Tchatoka, Firmin, 2012. "On the validity of Durbin-Wu-Hausman tests for assessing partial exogeneity hypotheses with possibly weak instruments," Working Papers 15061, University of Tasmania, Tasmanian School of Business and Economics, revised 06 Jul 2012.
    3. Tetsuya Kaji, 2019. "Theory of Weak Identification in Semiparametric Models," Papers 1908.10478, arXiv.org, revised Aug 2020.
    4. Ruprecht, Benedikt & Entrop, Oliver & Kick, Thomas & Wilkens, Marco, 2013. "Market Timing, Maturity Mismatch, and Risk Management: Evidence from the Banking Industry," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79733, Verein für Socialpolitik / German Economic Association.
    5. Alekh Gour & Shikha Aggarwal & Subodha Kumar, 2022. "Lending ears to unheard voices: An empirical analysis of user‐generated content on social media," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2457-2476, June.
    6. James Hansen, 2011. "Does Equity Mispricing Influence Household and Firm Decisions?," RBA Research Discussion Papers rdp2011-06, Reserve Bank of Australia.
    7. Yongming Zhu & Xiaoyu Zhou & Junjie Li & Fan Wang, 2022. "Technological Innovation, Fiscal Decentralization, Green Development Efficiency: Based on Spatial Effect and Moderating Effect," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
    8. Or Levkovich & Jan Rouwendal & Jos van Ommeren, 2017. "The impact of highways on population redistribution: The role of land development restrictions," Tinbergen Institute Discussion Papers 17-109/VIII, Tinbergen Institute.
    9. Seri, Paolo & Zanfei, Antonello, 2013. "The co-evolution of ICT, skills and organization in public administrations: Evidence from new European country-level data," Structural Change and Economic Dynamics, Elsevier, vol. 27(C), pages 160-176.
    10. Ephraim Kwashie Thompson & Changki Kim, 2020. "Post-M&A Performance and Failure: Implications of Time until Deal Completion," Sustainability, MDPI, vol. 12(7), pages 1-31, April.
    11. Kinclová Lenka, 2015. "Legitimacy of the “Humanitarian Military Intervention”: An Empirical Assessment," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 21(1), pages 111-152, January.
    12. Doko Tchatoka, Firmin, 2012. "Testing for partial exogeneity with weak identification," Working Papers 14565, University of Tasmania, Tasmanian School of Business and Economics, revised 31 May 2012.
    13. Woutersen, Tiemen & Hausman, Jerry A., 2019. "Increasing the power of specification tests," Journal of Econometrics, Elsevier, vol. 211(1), pages 166-175.
    14. 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.
    15. Bertille Antoine & Eric Renault, 2017. "On the relevance of weaker instruments," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 928-945, October.
    16. Goetzke, Frank & Vance, Colin, 2021. "An increasing gasoline price elasticity in the United States?," Energy Economics, Elsevier, vol. 95(C).
    17. Escobal, Javier A. & Cavero, Denice, 2012. "Transaction Costs, Institutional Arrangements and Inequality Outcomes: Potato Marketing by Small Producers in Rural Peru," World Development, Elsevier, vol. 40(2), pages 329-341.
    18. Inoue, Atsushi & Rossi, Barbara, 2011. "Testing for weak identification in possibly nonlinear models," Journal of Econometrics, Elsevier, vol. 161(2), pages 246-261, April.
    19. Daria Ciriaci & Sandro Montresor & Daniela Palma, 2013. "Do KIBS make manufacturing more innovative? An empirical investigation for four European countries," JRC Working Papers on Corporate R&D and Innovation 2013-04, Joint Research Centre.
    20. Laura Di Giorgio & Massimo Filippini & Giuliano Masiero, 2014. "The relationship between costs and quality in nonprofit nursing homes," IdEP Economic Papers 1402, USI Università della Svizzera italiana.
    21. Christian Danne, 2015. "Regional Integration and the Rule of Law," FIW Working Paper series 157, FIW.
    22. 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.
    23. Kiviet, Jan F. & Pleus, Milan, 2017. "The performance of tests on endogeneity of subsets of explanatory variables scanned by simulation," Econometrics and Statistics, Elsevier, vol. 2(C), pages 1-21.
    24. Liping Zhu & Rui Shi & Lincheng Mi & Pu Liu & Guofeng Wang, 2022. "Spatial Distribution and Convergence of Agricultural Green Total Factor Productivity in China," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
    25. L. Di Giorgio & M. Filippini & G. Masiero, 2016. "Is higher nursing home quality more costly?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 1011-1026, November.
    26. Qusai Mohammad Qasim Alabed & Fathin Faizah Said & Zulkefly Abdul Karim & Mohd Azlan Shah Zaidi & Mohammed Daher Alshammary, 2021. "Energy–Growth Nexus in the MENA Region: A Dynamic Panel Threshold Estimation," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    27. Jonathan Chapman, 2019. "The contribution of infrastructure investment to Britain's urban mortality decline, 1861–1900," Economic History Review, Economic History Society, vol. 72(1), pages 233-259, February.
    28. Reda Cherif & Fuad Hasanov & Lichen Wang, 2018. "Sharp Instrument: A Stab at Identifying the Causes of Economic Growth," IMF Working Papers 2018/117, International Monetary Fund.
    29. Samuel Bazzi & Michael A. Clemens, 2013. "Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 152-186, April.
    30. Deng, Xiangzheng & Gibson, John, 2021. "Trade-Offs between Ecosystem Services Provided By Natural Capital and the Predominant Land Use and Land Cover Changes in China," 2021 Conference, August 17-31, 2021, Virtual 315187, International Association of Agricultural Economists.
    31. Li, Yan & Lyons, Bruce, 2012. "Market structure, regulation and the speed of mobile network penetration," International Journal of Industrial Organization, Elsevier, vol. 30(6), pages 697-707.
    32. Tuğba KAYHAN & Temur KAYHAN & Engin YARBAŞI, 2019. "Profit management in the case of financial distress and global volatile market behaviour: Evidence from Borsa Istanbul Stock Exchange," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(620), A), pages 179-192, Autumn.

  17. Hahn, Jinyong & Moon, Hyungsik Roger, 2010. "Panel Data Models With Finite Number Of Multiple Equilibria," Econometric Theory, Cambridge University Press, vol. 26(3), pages 863-881, June.

    Cited by:

    1. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2022. "Discretizing Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 90(2), pages 625-643, March.
    2. Xiaorong Yang & Jia Chen & Degui Li & Runze Li, 2023. "Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure," Papers 2303.13218, arXiv.org.
    3. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    4. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Liu, Yanbo & Phillips, Peter C. B. & Yu, Jun, 2022. "A Panel Clustering Approach to Analyzing Bubble Behavior," Economics and Statistics Working Papers 1-2022, Singapore Management University, School of Economics.
    6. Leng, Xuan & Chen, Heng & Wang, Wendun, 2023. "Multi-dimensional latent group structures with heterogeneous distributions," Journal of Econometrics, Elsevier, vol. 233(1), pages 1-21.
    7. Mammen, Enno & Wilke, Ralf A. & Zapp, Kristina Maria, 2022. "Estimation of group structures in panel models with individual fixed effects," ZEW Discussion Papers 22-023, ZEW - Leibniz Centre for European Economic Research.
    8. Victor Aguirregabiria & Pedro Mira, 2013. "Identification of Games of Incomplete Information with Multiple Equilibria and Common Unobserved Heterogeneity," Working Papers tecipa-474, University of Toronto, Department of Economics.
    9. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2017. "Discretizing unobserved heterogeneity," IFS Working Papers W17/03, Institute for Fiscal Studies.
    10. Stéphane Bonhomme, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," Working Papers 2021-15, Becker Friedman Institute for Research In Economics.
    11. Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers 42/17, Institute for Fiscal Studies.
    12. Dong Hwan Oh & Andrew J. Patton, 2021. "Dynamic Factor Copula Models with Estimated Cluster Assignments," Finance and Economics Discussion Series 2021-029r1, Board of Governors of the Federal Reserve System (U.S.), revised 06 May 2022.
    13. Pigini, Claudia & Pionati, Alessandro & Valentini, Francesco, 2023. "Specification testing with grouped fixed effects," MPRA Paper 117821, University Library of Munich, Germany.
    14. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    15. Dzemski, Andreas & Okui, Ryo, 2018. "Confidence Set for Group Membership," Working Papers in Economics 727, University of Gothenburg, Department of Economics.
    16. Ryo Okui & Wendun Wang, 2018. "Heterogeneous structural breaks in panel data models," Papers 1801.04672, arXiv.org, revised Nov 2018.
    17. Dzemski, Andreas & Okui, Ryo, 2020. "Convergence rate of estimators of clustered panel models with misclassication," Working Papers in Economics 790, University of Gothenburg, Department of Economics.
    18. Áureo de Paula, 2013. "Econometric Analysis of Games with Multiple Equilibria," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 107-131, May.
    19. Lumsdaine, Robin L. & Okui, Ryo & Wang, Wendun, 2023. "Estimation of panel group structure models with structural breaks in group memberships and coefficients," Journal of Econometrics, Elsevier, vol. 233(1), pages 45-65.
    20. Thomas Wiemann, 2023. "Optimal Categorical Instrumental Variables," Papers 2311.17021, arXiv.org.
    21. Boyuan Zhang, 2022. "Incorporating Prior Knowledge of Latent Group Structure in Panel Data Models," Papers 2211.16714, arXiv.org, revised Oct 2023.
    22. Liu, Ruiqi & Shang, Zuofeng & Zhang, Yonghui & Zhou, Qiankun, 2020. "Identification and estimation in panel models with overspecified number of groups," Journal of Econometrics, Elsevier, vol. 215(2), pages 574-590.
    23. Denis Chetverikov & Elena Manresa, 2022. "Spectral and post-spectral estimators for grouped panel data models," Papers 2212.13324, arXiv.org, revised Dec 2022.
    24. Stephane Bonhomme, 2021. "Teams: Heterogeneity, Sorting, and Complementarity," Papers 2102.01802, arXiv.org.
    25. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    26. Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.
    27. Su, Liangjun & Wang, Wuyi & Xu, Xingbai, 2023. "Identifying latent group structures in spatial dynamic panels," Journal of Econometrics, Elsevier, vol. 235(2), pages 1955-1980.
    28. Andreas Dzemski & Ryo Okui, 2017. "Confidence set for group membership," Papers 1801.00332, arXiv.org, revised Nov 2023.

  18. Moon, Hyungsik Roger & Schorfheide, Frank, 2009. "Estimation with overidentifying inequality moment conditions," Journal of Econometrics, Elsevier, vol. 153(2), pages 136-154, December.

    Cited by:

    1. Michael Boutros, 2022. "Windfall Income Shocks with Finite Planning Horizons," Staff Working Papers 22-40, Bank of Canada.
    2. Lee Tae-Hwy & Wang He & Xi Zhou & Zhang Ru, 2023. "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 57-83, January.
    3. João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
    4. Chaudhuri, Saraswata & Zivot, Eric, 2011. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Journal of Econometrics, Elsevier, vol. 164(2), pages 239-251, October.
    5. Adam McCloskey, 2012. "Bonferroni-Based Size-Correction for Nonstandard Testing Problems," Working Papers 2012-16, Brown University, Department of Economics.
    6. Rhys ap Gwilym & M. Shahid Ebrahim & Abdelkader O. El Alaoui & Hamid Rahman & Abderrahim Taamouti, 2019. "Financial Frictions and the Futures Pricing Puzzle," Working Papers 2019_07, Durham University Business School.
    7. Kleiber, Christian & Zeileis, Achim, 2010. "Reproducible Econometric Simulations," Working papers 2010/12, Faculty of Business and Economics - University of Basel.
    8. Gabrielle Fack & Julien Grenet & Yinghua He, 2019. "Beyond Truth-Telling: Preference Estimation with Centralized School Choice and College Admissions," American Economic Review, American Economic Association, vol. 109(4), pages 1486-1529, April.
    9. Jason Allen & Robert Clark & Brent Hickman & Eric Richert, 2019. "Resolving Failed Banks: Uncertainty, Multiple Bidding & Auction Design," Staff Working Papers 19-30, Bank of Canada.
    10. Yu‐Chin Hsu & Xiaoxia Shi, 2017. "Model‐selection tests for conditional moment restriction models," Econometrics Journal, Royal Economic Society, vol. 20(1), pages 52-85, February.
    11. Jun Cai & Qu Feng & William C. Horrace & Guiying Laura Wu, 2021. "Wrong skewness and finite sample correction in the normal-half normal stochastic frontier model," Empirical Economics, Springer, vol. 60(6), pages 2837-2866, June.
    12. Coroneo, Laura & Corradi, Valentina & Santos Monterio, Paulo, 2012. "Testing for optimal monetary policy via moment inequalities," Economic Research Papers 270654, University of Warwick - Department of Economics.
    13. Timothy B. Armstrong & Michal Kolesár, 2020. "Sensitivity Analysis using Approximate Moment Condition Models," Working Papers 2020-28, Princeton University. Economics Department..
    14. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    15. Timmermann, Allan & Patton, Andrew, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," CEPR Discussion Papers 8194, C.E.P.R. Discussion Papers.
    16. Rami V. Tabri & Christopher D. Walker, 2020. "Inference for Moment Inequalities: A Constrained Moment Selection Procedure," Papers 2008.09021, arXiv.org, revised Aug 2020.
    17. Gregory Cox, 2022. "A Generalized Argmax Theorem with Applications," Papers 2209.08793, arXiv.org.
    18. Koijen, Ralph & Yogo, Motohiro, 2018. "The Fragility of Market Risk Insurance," CEPR Discussion Papers 12560, C.E.P.R. Discussion Papers.
    19. Thomas H. Jørgensen, 2016. "Euler equation estimation: Children and credit constraints," Quantitative Economics, Econometric Society, vol. 7(3), pages 935-968, November.
    20. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers 23/18, Institute for Fiscal Studies.
    21. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Second Version," PIER Working Paper Archive 15-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 31 Aug 2015.
    22. Romano, Joseph P. & Wolf, Michael, 2013. "Testing for monotonicity in expected asset returns," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 93-116.
    23. Francis J. DiTraglia & Camilo García-Jimeno, 2017. "Mis-classified, Binary, Endogenous Regressors: Identification and Inference," NBER Working Papers 23814, National Bureau of Economic Research, Inc.
    24. Marine Carrasco & N'Golo Koné, 2023. "Test for Trading Costs Effect in a Portfolio Selection Problem with Recursive Utility," CIRANO Working Papers 2023s-03, CIRANO.
    25. Battey, Heather & Feng, Qiang & Smith, Richard J., 2016. "Improving confidence set estimation when parameters are weakly identified," Statistics & Probability Letters, Elsevier, vol. 118(C), pages 117-123.
    26. Alastair R. Hall, 2013. "Generalized Method of Moments," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 14, pages 313-333, Edward Elgar Publishing.
    27. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers CWP23/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    28. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Third Version," PIER Working Paper Archive 15-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Sep 2015.
    29. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," Papers 2011.07276, arXiv.org.
    30. He, Yinghua, 2015. "Gaming the Boston School Choice Mechanism in Beijing," TSE Working Papers 15-551, Toulouse School of Economics (TSE), revised Sep 2017.
    31. Shi, Xiaoxia, 2015. "Model selection tests for moment inequality models," Journal of Econometrics, Elsevier, vol. 187(1), pages 1-17.
    32. Nicky L. Grant & Richard J. Smith, 2018. "GEL-Based Inference from Unconditional Moment Inequality Restrictions," Economics Discussion Paper Series 1802, Economics, The University of Manchester.
    33. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.
    34. Edvard Bakhitov, 2020. "Frequentist Shrinkage under Inequality Constraints," Papers 2001.10586, arXiv.org.
    35. Fan, Yanqin & Shi, Xuetao, 2023. "Wald, QLR, and score tests when parameters are subject to linear inequality constraints," Journal of Econometrics, Elsevier, vol. 235(2), pages 2005-2026.
    36. Ruoyao Shi & Zhipeng Liao, 2018. "An Averaging GMM Estimator Robust to Misspecification," Working Papers 201803, University of California at Riverside, Department of Economics.

  19. Hyungsik Roger Moon & Benoit Perron, 2008. "Asymptotic local power of pooled t-ratio tests for unit roots in panels with fixed effects," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 80-104, March.

    Cited by:

    1. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Discussion Paper 2013-017, Tilburg University, Center for Economic Research.
    2. Gutierrez, Luciano, 2009. "Sampling at different frequencies, and the power of panel unit root tests," Economics Letters, Elsevier, vol. 102(1), pages 59-61, January.
    3. Westerlund, Joakim, 2014. "Pooled panel unit root tests and the effect of past initialization," Working Papers fe_2014_06, Deakin University, Department of Economics.
    4. 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.
    5. 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.
    6. 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.
    7. Westerlund, Joakim & Larsson, Rolf, 2009. "Testing for a Unit Root in a Random Coefficient Panel Data Model," Working Papers in Economics 383, University of Gothenburg, Department of Economics.
    8. Zhongwen Liang, 2017. "A Unified Approach on the Local Power of Panel Unit Root Tests," Papers 1710.02944, arXiv.org.
    9. Westerlund, Joakim & Larsson, Rolf, 2015. "New tools for understanding the local asymptotic power of panel unit root tests," Journal of Econometrics, Elsevier, vol. 188(1), pages 59-93.
    10. 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.
    11. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Other publications TiSEM e34b7d23-8e53-4cea-ba69-5, Tilburg University, School of Economics and Management.
    12. Yiannis Karavias & Elias Tzavalis, 2013. "The power performance of fixed-T panel unit root tests allowing for structural breaks," Discussion Papers 13/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    13. Peter C.B. Phillips & Hyungsik Roger Moon & Benoit Perron, 2004. "Incidental Trends and the Power of Panel Unit Root Tests," Yale School of Management Working Papers ysm414, Yale School of Management.
    14. 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.
    15. Georges Bresson & Badi H. Baltagi & Alain Pirotte, 2007. "Panel unit root tests and spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 339-360.
    16. Joakim Westerlund & Johan Blomquist, 2013. "A modified LLC panel unit root test of the PPP hypothesis," Empirical Economics, Springer, vol. 44(2), pages 833-860, April.
    17. Claude Lopez, 2003. "An Improved Panel Unit Root Test Using GLS-Detrending," Econometrics 0310003, University Library of Munich, Germany.
    18. Westerlund, Joakim, 2015. "The effect of recursive detrending on panel unit root tests," Journal of Econometrics, Elsevier, vol. 185(2), pages 453-467.
    19. Kajal Lahiri & Zhongwen Liang & Huaming Peng, 2017. "The Local Power of the IPS Test with Both Initial Conditions and Incidental Trends," CESifo Working Paper Series 6313, CESifo.
    20. Yiannis Karavias & Elias Tzavalis, 2017. "Local power of panel unit root tests allowing for structural breaks," Econometric Reviews, Taylor & Francis Journals, vol. 36(10), pages 1123-1156, November.
    21. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.
    22. 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.
    23. Djaballah Mustapha, 2020. "The Relationship Between the Financial Innovation and the Money Supply: Empirical Study on the Maghreb Countries," Economics and Business, Sciendo, vol. 34(1), pages 168-178, February.
    24. Westerlund, Joakim, 2015. "The power of PANIC," Journal of Econometrics, Elsevier, vol. 185(2), pages 495-509.

  20. Moon, Hyungsik Roger & Perron, Benoit & Phillips, Peter C.B., 2007. "Incidental trends and the power of panel unit root tests," Journal of Econometrics, Elsevier, vol. 141(2), pages 416-459, December.
    See citations under working paper version above.
  21. Benoit Perron & Hyungsik Roger Moon, 2007. "An empirical analysis of nonstationarity in a panel of interest rates with factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 383-400.

    Cited by:

    1. Cerrato, Mario & Kim, Hyunsok & MacDonald, Ronald, 2010. "Nominal Interest Rates and Stationarity," SIRE Discussion Papers 2010-43, Scottish Institute for Research in Economics (SIRE).
    2. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    3. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    4. Poncela, Pilar & Ruiz Ortega, Esther, 2012. "More is not always better : back to the Kalman filter in dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS ws122317, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Dobdinga Cletus Fonchamnyo & Ongo Nkoa Bruno Emmanuel & Gildas Dohba Dinga, 2021. "The effects of trade, foreign direct investment, and economic growth on environmental quality and overshoot: a dynamic common correlation effects approach," SN Business & Economics, Springer, vol. 1(10), pages 1-27, October.
    6. Sium Bodha Hannadige & Jiti Gao & Mervyn J Silvapulle & Param Silvapulle, 2021. "Time Series Forecasting Using a Mixture of Stationary and Nonstationary Predictors," Monash Econometrics and Business Statistics Working Papers 6/21, Monash University, Department of Econometrics and Business Statistics.
    7. Kula Ferit & Aslan Alper, 2010. "Hysteresis vs. Natural Rate of Unemployment: One, the Other, or Both?," South East European Journal of Economics and Business, Sciendo, vol. 5(1), pages 91-94, April.
    8. Tim Buyse & Freddy Heylen & Ruben Schoonackers, 2016. "On the role of public policies and wage formation for private investment in R&D:A long-run panel analysis," Working Paper Research 292, National Bank of Belgium.
    9. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2012. "Interest rate co-movements, global factors and the long end of the term spread," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 183-192.
    10. Bianco, Dominique & Niang, Abdou-Aziz, 2012. "On International Spillovers," MPRA Paper 41046, University Library of Munich, Germany.
    11. MOON, Hyungsik Roger & PERRON, Benoit, 2010. "Beyond Panel Unit Root Tests: Using Multiple Testing to Determine the Non Stationarity Properties of Individual Series in a Panel," Cahiers de recherche 2010-04, Universite de Montreal, Departement de sciences economiques.
    12. Łukasz Goczek & Dagmara Mycielska, 2013. "Ready for euro? Empirical study of the actual monetary policy independence in Poland," Working Papers 2013-13, Faculty of Economic Sciences, University of Warsaw.
    13. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
    14. Peter C.B. Phillips & Hyungsik Roger Moon & Benoit Perron, 2004. "Incidental Trends and the Power of Panel Unit Root Tests," Yale School of Management Working Papers ysm414, Yale School of Management.
    15. Casalin, Fabrizio, 2013. "Testing the expectations hypothesis of the term structure with permanent-transitory component models," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3192-3203.
    16. Sean HOLLY & Ivan PETRELLA, 2010. "Factor demand linkages, technology shocks and the business cycle," Working Papers of Department of Economics, Leuven ces10.26, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    17. Onatski, A. & Wang, C., 2020. "Spurious Factor Analysis," Cambridge Working Papers in Economics 2003, Faculty of Economics, University of Cambridge.
    18. Claude Lopez, 2003. "An Improved Panel Unit Root Test Using GLS-Detrending," Econometrics 0310003, University Library of Munich, Germany.
    19. Matteo Deleidi & Enrico Sergio Levrero, 2021. "Monetary policy and long‐term interest rates: Evidence from the U.S. economy," Metroeconomica, Wiley Blackwell, vol. 72(1), pages 121-147, February.
    20. Georgi MARINOV, 2016. "Small Sample Properties Of Panel Cointegration Tests In The Presence Of Structural Change," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 5(1), pages 35-41, JULY.
    21. Hui Ding & Jaebeom Kim, 2012. "Does inflation targeting matter for PPP? An empirical investigation," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1777-1780, December.
    22. Alejandro C. García-Cintado & Diego Romero-Ávila & Carlos Usabiaga, 2016. "The economic integration of Spain: a change in the inflation pattern," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 25(1), pages 1-41, December.
    23. Kiryoung LEE & Chanik JO, 2018. "Forecasting Chinese Business Cycle Using Long-term Interest Rate Comovements," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 118-134, December.
    24. Gerdie Everaert & Freddy Heylen & Ruben Schoonackers, 2014. "Fiscal policy and TFP in the OECD : Measuring direct and indirect effects," Working Paper Research 274, National Bank of Belgium.
    25. Sleibi, Yacoub & Casalin, Fabrizio & Fazio, Giorgio, 2023. "Unconventional monetary policies and credit co-movement in the Eurozone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    26. Sium Bodha Hannadige & Jiti Gao & Mervyn J. Silvapulle & Param Silvapulle, 2020. "Forecasting a Nonstationary Time Series with a Mixture of Stationary and Nonstationary Factors as Predictors," Monash Econometrics and Business Statistics Working Papers 19/20, Monash University, Department of Econometrics and Business Statistics.
    27. Ding, Hui & Kim, Jaebeom, 2017. "Inflation-targeting and real interest rate parity: A bias correction approach," Economic Modelling, Elsevier, vol. 60(C), pages 132-137.
    28. Łukasz Goczek & Dagmara Mycielska, 2019. "Actual monetary policy independence in a small open economy: the Polish perspective," Empirical Economics, Springer, vol. 56(2), pages 499-522, February.
    29. Mehmet BÖLÜKBAŞ & Mehmet Hanefi TOPAL & Hakan HOTUNLUOĞLU, 2018. "Testing Twin Deficits Hypothesis for Eu-27 and Turkey : A Panel Granger Causality Approach under Cross-sectional Dependence," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 101-119, December.

  22. Guerre, Emmanuel & Moon, Hyungsik Roger, 2006. "A Study Of A Semiparametric Binary Choice Model With Integrated Covariates," Econometric Theory, Cambridge University Press, vol. 22(4), pages 721-742, August.
    See citations under working paper version above.
  23. Hahn, Jinyong & Moon, Hyungsik Roger, 2006. "Reducing Bias Of Mle In A Dynamic Panel Model," Econometric Theory, Cambridge University Press, vol. 22(3), pages 499-512, June.
    See citations under working paper version above.
  24. Moon, H.R. & Perron, B. & Phillips, P.C.B., 2006. "On The Breitung Test For Panel Unit Roots And Local Asymptotic Power," Econometric Theory, Cambridge University Press, vol. 22(6), pages 1179-1190, December.

    Cited by:

    1. Angeliki N. Menegaki & Aviral Kumar Tiwari, 2018. "A global food–energy–water nexus with heterogeneity, non-stationarity and cross-sectional dependence," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2723-2755, November.
    2. 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.
    3. Westerlund, Joakim & Larsson, Rolf, 2009. "Testing for a Unit Root in a Random Coefficient Panel Data Model," Working Papers in Economics 383, University of Gothenburg, Department of Economics.
    4. Zhongwen Liang, 2017. "A Unified Approach on the Local Power of Panel Unit Root Tests," Papers 1710.02944, arXiv.org.
    5. Westerlund, Joakim & Larsson, Rolf, 2015. "New tools for understanding the local asymptotic power of panel unit root tests," Journal of Econometrics, Elsevier, vol. 188(1), pages 59-93.
    6. 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.
    7. Westerlund, Joakim, 2015. "The effect of recursive detrending on panel unit root tests," Journal of Econometrics, Elsevier, vol. 185(2), pages 453-467.
    8. Mohan, Ramesh & Kemegue, Francis & Sjuib, Fahlino, 2007. "Hysteresis in Unemployment: Panel Unit Roots Tests Using State Level Data," MPRA Paper 5580, University Library of Munich, Germany.
    9. Gu, Jianqiang & Yue, Xiao-Guang & Nosheen, Safia & Naveed -ul-Haq, & Shi, Lei, 2022. "Does more stringencies in government policies during pandemic impact stock returns? Fresh evidence from GREF countries, a new emerging green bloc," Resources Policy, Elsevier, vol. 76(C).
    10. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.
    11. Westerlund, Joakim, 2015. "The power of PANIC," Journal of Econometrics, Elsevier, vol. 185(2), pages 495-509.
    12. Chi Lau & Ka Fung & Lee Pugalis, 2014. "Is health care expenditure across Europe converging? Findings from the application of a nonlinear panel unit root test," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 137-156, December.

  25. Hyungsik Roger Moon & Benoit Perron, 2005. "Efficient Estimation of the Seemingly Unrelated Regression Cointegration Model and Testing for Purchasing Power Parity," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 293-323.

    Cited by:

    1. Muhammad Omer & Jakob de Haan & Bert Scholtens, 2019. "Does Uncovered Interest Rate Parity Hold After All?," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 24(2), pages 49-72, July-Dec.
    2. Wagner, Martin, 2023. "Fully Modified Least Squares Estimation and Inference for Systems of Cointegrating Polynomial Regressions," IHS Working Paper Series 44, Institute for Advanced Studies.
    3. Tsagkanos, Athanasios & Siriopoulos, Costas, 2015. "Stock markets and industrial production in north and south of Euro-zone: Asymmetric effects via threshold cointegration approach," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 162-172.
    4. Saeed, Momna & Izzeldin, Marwan & Hassan, M. Kabir & Pappas, Vasileios, 2020. "The inter-temporal relationship between risk, capital and efficiency: The case of Islamic and conventional banks," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    5. In Choi, 2012. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    6. Christophe Blot & Fabien Labondance, 2013. "Politique monétaire unique, taux bancaires et prix immobiliers dans la zone euro," Sciences Po publications info:hdl:2441/7o52iohb7k6, Sciences Po.

  26. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    See citations under working paper version above.
  27. Hyungsik Roger Moon & Peter C. B. Phillips, 2004. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Econometrica, Econometric Society, vol. 72(2), pages 467-522, March.
    See citations under working paper version above.
  28. Moon, Hyungsik Roger, 2004. "Maximum score estimation of a nonstationary binary choice model," Journal of Econometrics, Elsevier, vol. 122(2), pages 385-403, October.

    Cited by:

    1. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    2. Julia Kloos & Niklas Baumert, 2015. "Preventive resettlement in anticipation of sea level rise: a choice experiment from Alexandria, Egypt," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 99-121, March.
    3. Marcin Owczarczuk, 2009. "Maximum Score Type Estimators," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(1), pages 7-34, March.
    4. Marcin Owczarczuk, 2015. "Improving the Effectiveness of Maximum Score Estimators for Binary Regression Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(4), pages 205-217, December.
    5. Taisuke Otsu & Myung Hwan Seo, 2014. "Asymptotics for maximum score method under general conditions," STICERD - Econometrics Paper Series 571, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    6. Chen, Songnian & Zhang, Hanghui, 2015. "Binary quantile regression with local polynomial smoothing," Journal of Econometrics, Elsevier, vol. 189(1), pages 24-40.

  29. Moon, Hyungsik Roger & Schorfheide, Frank, 2002. "Minimum Distance Estimation Of Nonstationary Time Series Models," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1385-1407, December.

    Cited by:

    1. Gabriel Montes-Rojas & Luciano de Castro & Antonio F. Galvao & Jeong Yeol Kim & José Olmo, 2021. "Experiments On Portfolio Selection: A Comparison Between Quantile Preferences And Expected Utility Decision Models," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2021-68, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
    2. Considine, Timothy J., 2018. "Estimating concave substitution possibilities with non-stationary data using the dynamic linear logit demand model," Economic Modelling, Elsevier, vol. 72(C), pages 22-30.
    3. Christis Katsouris, 2023. "Structural Analysis of Vector Autoregressive Models," Papers 2312.06402, arXiv.org, revised Feb 2024.
    4. Leandro M. Magnusson & Sophocles Mavroeidis, 2010. "Identification‐Robust Minimum Distance Estimation of the New Keynesian Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2‐3), pages 465-481, March.
    5. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    6. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.

  30. Guerre, Emmanuel & Moon, Hyungsik Roger, 2002. "A note on the nonstationary binary choice logit model," Economics Letters, Elsevier, vol. 76(2), pages 267-271, July.

    Cited by:

    1. Chu, Chia-Shang J. & Liu, Nan & Zhang, Lina, 2017. "Significance test in nonstationary logit panel model with serially correlated dependent variable," Economics Letters, Elsevier, vol. 159(C), pages 37-41.
    2. Moon, Hyungsik Roger, 2004. "Maximum score estimation of a nonstationary binary choice model," Journal of Econometrics, Elsevier, vol. 122(2), pages 385-403, October.
    3. Mao, Guangyu, 2014. "Testing for joint significance in nonstationary binary choice model," Economics Letters, Elsevier, vol. 122(2), pages 311-313.

  31. Phillips, Peter C.B. & Moon, Hyungsik Roger & Xiao, Zhijie, 2001. "How To Estimate Autoregressive Roots Near Unity," Econometric Theory, Cambridge University Press, vol. 17(1), pages 29-69, February.
    See citations under working paper version above.
  32. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    See citations under working paper version above.
  33. Moon, Hyungsik R. & Phillips, Peter C.B., 2000. "Estimation Of Autoregressive Roots Near Unity Using Panel Data," Econometric Theory, Cambridge University Press, vol. 16(6), pages 927-997, December.
    See citations under working paper version above.
  34. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
    See citations under working paper version above.
  35. Moon, Hyungsik R., 1999. "A note on fully-modified estimation of seemingly unrelated regressions models with integrated regressors," Economics Letters, Elsevier, vol. 65(1), pages 25-31, October.

    Cited by:

    1. Tiffin, J. Richard & Balcombe, Kelvin George, 2003. "Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25845, International Association of Agricultural Economists.
    2. Sima M. Fortsch & Jeong Hoon Choi & Elena A. Khapalova, 2022. "Competition can help predict sales," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 331-344, March.
    3. Efthymios Pavlidis & Ivan Paya & David Alan Peel & Alisa Yevgenyevna Yusupova, 2017. "Exuberance in the U.K. Regional Housing Markets," Working Papers 168117137, Lancaster University Management School, Economics Department.
    4. Reed, Albert J. & Levedahl, J. William & Hallahan, Charles B., 2004. "The Generalized Composite Commodity Theorem And Food Demand Estimation," 2004 Annual meeting, August 1-4, Denver, CO 20107, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Ho, Tsung-Wu, 2003. "A re-examination of the unbiasedness forward rate hypothesis using dynamic SUR model," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 542-559.
    6. Brücker, Herbert & Fachin, Stefano & Venturini, Alessandra, 2009. "Do Foreigners Replace Native Immigrants? Evidence from a Panel Cointegration Analysis," IZA Discussion Papers 4438, Institute of Labor Economics (IZA).
    7. Nelson C. Mark & Masao Ogaki & Donggyu Sul, 2003. "Dynamic Seemingly Unrelated Cointegrating Regression," NBER Technical Working Papers 0292, National Bureau of Economic Research, Inc.
    8. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics Discussion Papers 2012-1, Kiel Institute for the World Economy (IfW Kiel).
    9. Moon, H.R. & Perron, P., 2000. "The Seemingly Unrelated Dynamic Cointegration Regression Model and Testing for Purching Power Parity," Cahiers de recherche 2000-03, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    10. Nieh, Chien-Chung & Ho, Tsung-wu, 2006. "Does the expansionary government spending crowd out the private consumption?: Cointegration analysis in panel data," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(1), pages 133-148, February.
    11. Di Iorio, Francesca & Fachin, Stefano, 2008. "A note on the estimation of long-run relationships in dependent cointegrated panels," MPRA Paper 12053, University Library of Munich, Germany.
    12. Hailong Qian & Heather L. Bednarek, 2015. "Partial efficient estimation of SUR models," Economics Bulletin, AccessEcon, vol. 35(1), pages 338-348.
    13. Mohammad Arashi & Mahdi Roozbeh, 2015. "Shrinkage estimation in system regression model," Computational Statistics, Springer, vol. 30(2), pages 359-376, June.
    14. Wagner, Martin & Grabarczyk, Peter & Hong, Seung Hyun, 2020. "Fully modified OLS estimation and inference for seemingly unrelated cointegrating polynomial regressions and the environmental Kuznets curve for carbon dioxide emissions," Journal of Econometrics, Elsevier, vol. 214(1), pages 216-255.
    15. Balcombe, Kelvin & Tiffin, Richard, 2002. "Fully modified estimation with cross-equation restrictions," Economics Letters, Elsevier, vol. 74(2), pages 257-263, January.
    16. Basher, Syed A. & Fachin, Stefano, 2008. "The long-term decline of internal migration in Canada – Ontario as a case study," MPRA Paper 6685, University Library of Munich, Germany.
    17. Stefano Fachin & Andrea Gavosto, 2010. "Trends of labour productivity in Italy: a study with panel co‐integration methods," International Journal of Manpower, Emerald Group Publishing Limited, vol. 31(7), pages 755-769, October.
    18. Syed Basher & S. Fachin, 2008. "The long-term decline of internal migration in Canada: the case of Ontario," Letters in Spatial and Resource Sciences, Springer, vol. 1(2), pages 171-181, December.
    19. Shin, Dong Wan & Joon Kim, Han & Jhee, Won-Chul, 2007. "Asymptotic efficiency of the ordinary least-squares estimator for sur models with integrated regressors," Statistics & Probability Letters, Elsevier, vol. 77(1), pages 75-82, January.
    20. J. Kleyn & M. Arashi & S. Millard, 2018. "Preliminary test estimation in system regression models in view of asymmetry," Computational Statistics, Springer, vol. 33(4), pages 1897-1921, December.

Chapters

  1. Benjamin J. Gillen & Matthew Shum & Hyungsik Roger Moon, 2014. "Demand Estimation with High-Dimensional Product Characteristics," Advances in Econometrics, in: Bayesian Model Comparison, volume 34, pages 301-323, Emerald Group Publishing Limited.

    Cited by:

    1. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments," Papers 1501.03185, arXiv.org.
    2. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2016. "Valid post-selection and post-regularization inference: An elementary, general approach," CeMMAP working papers CWP36/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

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