IDEAS home Printed from https://ideas.repec.org/f/c/pjo240.html
   My authors  Follow this author

Koen Jochmans

Citations

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

Working papers

  1. Ayden Higgins & Koen Jochmans, 2023. "Identification of mixtures of dynamic discrete choices," Post-Print hal-04251997, HAL.

    Cited by:

    1. Jochmans, Koen, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Journal of Econometrics, Elsevier, vol. 242(2).
    2. Jochmans, Koen & Higgins, Ayden, 2022. "Learning Markov Processes with Latent Variables From Longitudinal Data," TSE Working Papers 22-1366, Toulouse School of Economics (TSE).

  2. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.

    Cited by:

    1. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.

  3. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.

    Cited by:

    1. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    2. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2023. "Specification testing with grouped fixed effects," Papers 2310.01950, arXiv.org.
    3. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).

  4. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.

    Cited by:

    1. Wu, Xiaokang & Yang, Jijun, 2023. "High-speed railway and patent trade in China," Economic Modelling, Elsevier, vol. 123(C).

  5. Marc Henry & Koen Jochmans & Bernard Salani'e, 2021. "Inference on two component mixtures under tail restrictions," Papers 2102.06232, arXiv.org.

    Cited by:

    1. Kedagni, Desire, 2018. "Identifying Treatment Effects in the Presence of Confounded Types," ISU General Staff Papers 201809110700001056, Iowa State University, Department of Economics.
    2. Yuichi Kitamura & Louise Laage, 2018. "Nonparametric Analysis of Finite Mixtures," Papers 1811.02727, arXiv.org.

  6. Jochmans, K., 2020. "Testing Random Assignment to Peer Groups," Cambridge Working Papers in Economics 2024, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Radbruch, Jonas & Schiprowski, Amelie, 2021. "Interview Sequences and the Formation of Subjective Assessments," IZA Discussion Papers 14799, Institute of Labor Economics (IZA).
    2. Pedro Carneiro & Yyannú Cruz-Aguayo & Norbert Schady & Francesca Salvati, 2023. "The effect of classroom rank on learning throughout elementary school: experimental evidence from Ecuador," CeMMAP working papers 19/23, Institute for Fiscal Studies.
    3. Deng, Weiguang & Jiang, Shengjun & Li, Xue & Ye, Maoliang, 2024. "Peer effects in donations: Evidence from random assignment of college roommates," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 631-644.

  7. Koen Jochmans, 2020. "Peer effects and endogenous social interactions," Papers 2008.07886, arXiv.org.

    Cited by:

    1. Rhys Murrian & Paul A. Raschky & Klaus Ackermann, 2024. "Friends, Key Players and the Adoption and Use of Experience Goods," SoDa Laboratories Working Paper Series 2024-03, Monash University, SoDa Laboratories.
    2. Aristide Houndetoungan, 2024. "Count Data Models with Heterogeneous Peer Effects under Rational Expectations," Papers 2405.17290, arXiv.org.
    3. Diemer, Andreas, 2022. "Endogenous peer effects in diverse friendship networks: Evidence from Swedish classrooms," Economics of Education Review, Elsevier, vol. 89(C).
    4. Tadao Hoshino, 2023. "Causal Interpretation of Linear Social Interaction Models with Endogenous Networks," Papers 2308.04276, arXiv.org, revised Oct 2023.
    5. Aristide Houndetoungan & Cristelle Kouame & Michael Vlassopoulos, 2024. "Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students," Papers 2405.06850, arXiv.org.
    6. Houndetoungan, Aristide & Kouame, Cristelle & Vlassopoulos, Michael, 2024. "Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students," IZA Discussion Papers 16998, Institute of Labor Economics (IZA).
    7. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    8. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).

  8. Jochmans, K., 2020. "Heteroskedasticity-Robust Inference in Linear Regression Models with Many Covariates," Cambridge Working Papers in Economics 2033, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Kaspar Wuthrich & Ying Zhu, 2019. "Omitted variable bias of Lasso-based inference methods: A finite sample analysis," Papers 1903.08704, arXiv.org, revised Sep 2021.
    2. Anatolyev, Stanislav & Sølvsten, Mikkel, 2023. "Testing many restrictions under heteroskedasticity," Journal of Econometrics, Elsevier, vol. 236(1).
    3. Ng Cheuk Fai, 2022. "Robust Inference in High Dimensional Linear Model with Cluster Dependence," Papers 2212.05554, arXiv.org.
    4. Seyed Morteza Moghimi & Thomas Aaron Gulliver & Ilamparithi Thirumarai Chelvan & Hossen Teimoorinia, 2024. "Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning," Energies, MDPI, vol. 17(23), pages 1-31, December.
    5. Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023. "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers 2304.08184, arXiv.org, revised Nov 2024.
    6. Liu, Lin & Mukherjee, Rajarshi & Robins, James M., 2024. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    7. Wei, Waverly & Zhou, Yuqing & Zheng, Zeyu & Wang, Jingshen, 2024. "Inference on the best policies with many covariates," Journal of Econometrics, Elsevier, vol. 239(2).

  9. Jochmans, K., 2019. "Heteroskedasticity-Robust Inference in Linear Regression Models," Cambridge Working Papers in Economics 1957, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Anatolyev, Stanislav & Sølvsten, Mikkel, 2023. "Testing many restrictions under heteroskedasticity," Journal of Econometrics, Elsevier, vol. 236(1).

  10. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Zou, Tao & Lan, Wei & Li, Runze & Tsai, Chih-Ling, 2022. "Inference on covariance-mean regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 318-338.

  11. Jochmans, K., 2019. "Modified-Likelihood Estimation of Fixed-Effect Models for Dyadic Data," Cambridge Working Papers in Economics 1958, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Shujie Ma & Liangjun Su & Yichong Zhang, 2020. "Detecting Latent Communities in Network Formation Models," Papers 2005.03226, arXiv.org, revised Mar 2021.

  12. Jochmans, K., 2019. "Testing for Correlation in Error-Component Models," Cambridge Working Papers in Economics 1910, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).

  13. Koen Jochmans & Martin Weidner, 2018. "Inference on a Distribution from Noisy Draws," Papers 1803.04991, arXiv.org, revised Dec 2021.

    Cited by:

    1. Thierry Magnac & Sébastien Roux, 2021. "Heterogeneity and wage inequalities over the life cycle," Post-Print hal-04532017, HAL.
    2. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    3. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    4. Laurent Barras & Patrick Gagliardini & Olivier Scaillet, 2022. "Skill, Scale, and Value Creation in the Mutual Fund Industry," Journal of Finance, American Finance Association, vol. 77(1), pages 601-638, February.
    5. Gobillon, Laurent & Magnac, Thierry & Roux, Sébastien, 2022. "Lifecycle Wages and Human Capital Investments: Selection and Missing Data," CEPR Discussion Papers 16999, C.E.P.R. Discussion Papers.
    6. Stéphane Bonhomme & Martin Weidner, 2019. "Posterior average effects," CeMMAP working papers CWP43/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  14. Jochmans, K., 2018. "A Portmanteau Test for Correlation in Short Panels," Cambridge Working Papers in Economics 1886, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Jochmans, K. & Verardi, V., 2019. "xtserialpm: A portmanteau test for serial correlation in a linear panel model," Cambridge Working Papers in Economics 1944, Faculty of Economics, University of Cambridge.
    2. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).
    3. Sonja Đuričin & Isidora Beraha & Olivera Jovanović & Marija Mosurović Ružičić & Marija Lazarević-Moravčević & Mihailo Paunović, 2022. "The Efficiency of National Innovation Policy Programs: The Case of Serbia," Sustainability, MDPI, vol. 14(14), pages 1-14, July.

  15. Jochmans, K. & Otsu, T., 2018. "Likelihood Corrections for Two-way Models," Cambridge Working Papers in Economics 1887, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2024. "MCMC conditional maximum likelihood for the two-way fixed-effects logit," Econometric Reviews, Taylor & Francis Journals, vol. 43(6), pages 379-404, July.
    2. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.

  16. Koen Jochmans, 2017. "Two-Way Models for Gravity," Post-Print hal-03567923, HAL.

    Cited by:

    1. Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
    2. Candelaria, Luis E., 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," The Warwick Economics Research Paper Series (TWERPS) 1279, University of Warwick, Department of Economics.
    3. Martin, Will, 2020. "Making Gravity Great Again," 2020: Economic Implications of COVID-19, December 14-15, Virtual Platform 339376, International Agricultural Trade Research Consortium.
    4. Jules Hugot & Camilo Umana Dajud, 2016. "Trade costs and the Suez and Panama Canals," Working Papers 2016-29, CEPII research center.
    5. Giorgio Fagiolo & Tommaso Rughi, 2021. "Exploring the Macroeconomic Drivers of International Bilateral-Remittance Flows: A Gravity-Model Approach," LEM Papers Series 2021/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Bougherara, Douadia & Piet, Laurent, 2018. "On the role of probability weighting on WTP for crop insurance with and without yield skewness," Working Papers 279351, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    7. 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.
    8. Lockwood, Ben & Porcelli, Francesco & Redoano, Michela & Schiavone, Antonio, 2022. "Yardstick Competition in the Digital Age : Unveiling New Networks in Tax Competition," The Warwick Economics Research Paper Series (TWERPS) 1438, University of Warwick, Department of Economics.
    9. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    10. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    11. 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.
    12. Mario Larch & Yoto V. Yotov, 2024. "Estimating the effects of trade agreements: Lessons from 60 years of methods and data," The World Economy, Wiley Blackwell, vol. 47(5), pages 1771-1799, May.
    13. Jochmans, K. & Verardi, V., 2019. "twexp and twgravity: Estimating exponential regression models with two-way fixed effects," Cambridge Working Papers in Economics 1945, Faculty of Economics, University of Cambridge.
    14. Michael Pfaffermayr, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, CEPII research center, issue 161, pages 188-198.
    15. Kwon, Ohyun & Yoon, Jangsu & Yotov, Yoto, 2022. "A Generalized Poisson-Pseudo Maximum Likelihood Estimator," School of Economics Working Paper Series 2022-13, LeBow College of Business, Drexel University.
    16. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Hugo Rojas-Romagosa & Johannes Bollen, 2018. "Estimating migration changes from the EU’s free movement of people principle," CPB Discussion Paper 385, CPB Netherlands Bureau for Economic Policy Analysis.
    18. Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
    19. J. M. C. Santos Silva & Silvana Tenreyro, 2022. "The Log of Gravity at 15," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 423-437, September.
    20. Choi Nakgyoon, 2018. "Economic Effects of Anti-Dumping Duties: Protectionist Measures or Trade Remedies?," Working Papers id:12447, eSocialSciences.
    21. Camilo Umana Dajud, 2016. "Do Visas Hinder International Trade in Goods?," Working Papers 2016-30, CEPII research center.
    22. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    23. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Shipping Container Disruptions and U.S. Agricultural Exports," Working Papers 320397, International Agricultural Trade Research Consortium.

  17. Koen Jochmans, 2017. "Two-Way Models for Gravity," SciencePo Working papers Main hal-03567923, HAL.

    Cited by:

    1. Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
    2. Candelaria, Luis E., 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," The Warwick Economics Research Paper Series (TWERPS) 1279, University of Warwick, Department of Economics.
    3. Martin, Will, 2020. "Making Gravity Great Again," 2020: Economic Implications of COVID-19, December 14-15, Virtual Platform 339376, International Agricultural Trade Research Consortium.
    4. Jules Hugot & Camilo Umana Dajud, 2016. "Trade costs and the Suez and Panama Canals," Working Papers 2016-29, CEPII research center.
    5. Giorgio Fagiolo & Tommaso Rughi, 2021. "Exploring the Macroeconomic Drivers of International Bilateral-Remittance Flows: A Gravity-Model Approach," LEM Papers Series 2021/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Bougherara, Douadia & Piet, Laurent, 2018. "On the role of probability weighting on WTP for crop insurance with and without yield skewness," Working Papers 279351, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    7. 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.
    8. Lockwood, Ben & Porcelli, Francesco & Redoano, Michela & Schiavone, Antonio, 2022. "Yardstick Competition in the Digital Age : Unveiling New Networks in Tax Competition," The Warwick Economics Research Paper Series (TWERPS) 1438, University of Warwick, Department of Economics.
    9. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    10. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    11. 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.
    12. Mario Larch & Yoto V. Yotov, 2024. "Estimating the effects of trade agreements: Lessons from 60 years of methods and data," The World Economy, Wiley Blackwell, vol. 47(5), pages 1771-1799, May.
    13. Jochmans, K. & Verardi, V., 2019. "twexp and twgravity: Estimating exponential regression models with two-way fixed effects," Cambridge Working Papers in Economics 1945, Faculty of Economics, University of Cambridge.
    14. Michael Pfaffermayr, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, CEPII research center, issue 161, pages 188-198.
    15. Kwon, Ohyun & Yoon, Jangsu & Yotov, Yoto, 2022. "A Generalized Poisson-Pseudo Maximum Likelihood Estimator," School of Economics Working Paper Series 2022-13, LeBow College of Business, Drexel University.
    16. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Hugo Rojas-Romagosa & Johannes Bollen, 2018. "Estimating migration changes from the EU’s free movement of people principle," CPB Discussion Paper 385, CPB Netherlands Bureau for Economic Policy Analysis.
    18. Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
    19. J. M. C. Santos Silva & Silvana Tenreyro, 2022. "The Log of Gravity at 15," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 423-437, September.
    20. Choi Nakgyoon, 2018. "Economic Effects of Anti-Dumping Duties: Protectionist Measures or Trade Remedies?," Working Papers id:12447, eSocialSciences.
    21. Camilo Umana Dajud, 2016. "Do Visas Hinder International Trade in Goods?," Working Papers 2016-30, CEPII research center.
    22. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    23. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Shipping Container Disruptions and U.S. Agricultural Exports," Working Papers 320397, International Agricultural Trade Research Consortium.

  18. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," Post-Print hal-03264006, HAL.

    Cited by:

    1. Jochmans, Koen, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Journal of Econometrics, Elsevier, vol. 242(2).
    2. Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021. "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers 2109.09043, arXiv.org, revised Nov 2023.
    3. Martin Garcia-Vazquez, 2021. "Identification and Estimation of Non-stationary Hidden Markov Models," Working Papers 2021-023, Human Capital and Economic Opportunity Working Group.
    4. Oliver Cassagneau-Francis, 2022. "Essays on skills and education [Essais sur les compétences et l'éducation]," SciencePo Working papers Main tel-03857494, HAL.

  19. Geert Dhaene & Koen Jochmans, 2016. "Bias-corrected estimation of panel vector autoregressions," Post-Print hal-03392010, HAL.

    Cited by:

    1. Inoue, Atsushi & Jordà , Òscar & Kuersteiner, Guido, 2024. "Inference for Local Projections," CEPR Discussion Papers 19379, C.E.P.R. Discussion Papers.
    2. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.
    3. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.

  20. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," SciencePo Working papers Main hal-03391995, HAL.

    Cited by:

    1. 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.
    2. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    3. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 88623, University Library of Munich, Germany.
    4. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    5. 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.
    6. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    7. 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.
    8. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    9. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    10. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    11. 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.
    12. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    13. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    14. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers 04/17, Institute for Fiscal Studies.
    15. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    16. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    17. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    18. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2021. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Land Economics, University of Wisconsin Press, vol. 97(4), pages 875-892.
    19. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    20. Bun, Maurice J.G. & Kleibergen, Frank, 2022. "Identification Robust Inference For Moments-Based Analysis Of Linear Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 38(4), pages 689-751, August.
    21. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    22. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.

  21. Koen Jochmans, 2016. "Semiparametric Analysis of Network Formation," SciencePo Working papers Main hal-03393207, HAL.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
    3. Candelaria, Luis E., 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," The Warwick Economics Research Paper Series (TWERPS) 1279, University of Warwick, Department of Economics.
    4. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    5. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    6. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
    7. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    8. André, Pierre & Dupraz, Yannick, 2019. "Education and Polygamy : Evidence from Cameroon," The Warwick Economics Research Paper Series (TWERPS) 1219, University of Warwick, Department of Economics.
    9. HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
    10. Lockwood, Ben & Porcelli, Francesco & Redoano, Michela & Schiavone, Antonio, 2022. "Yardstick Competition in the Digital Age : Unveiling New Networks in Tax Competition," The Warwick Economics Research Paper Series (TWERPS) 1438, University of Warwick, Department of Economics.
    11. Gualdani, Cristina, 2018. "An Econometric Model of Network Formation with an Application to Board Interlocks between Firms," TSE Working Papers 17-898, Toulouse School of Economics (TSE), revised Jul 2019.
    12. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2024. "MCMC conditional maximum likelihood for the two-way fixed-effects logit," Econometric Reviews, Taylor & Francis Journals, vol. 43(6), pages 379-404, July.
    13. Wayne Yuan Gao & Ming Li & Sheng Xu, 2020. "Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities," Papers 2001.00691, arXiv.org, revised Jul 2021.
    14. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    15. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    16. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Jochmans, Koen, 2024. "Modified-likelihood estimation of fixed-effect models for dyadic data," TSE Working Papers 24-1502, Toulouse School of Economics (TSE).
    18. 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.
    19. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    20. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    21. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    22. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    23. Andrin Pelican & Bryan S. Graham, 2020. "An optimal test for strategic interaction in social and economic network formation between heterogeneous agents," Papers 2009.00212, arXiv.org, revised May 2022.
    24. L. Sanna Stephan, 2024. "Semiparametric Estimation of Individual Coefficients in a Dyadic Link Formation Model Lacking Observable Characteristics," Papers 2408.04552, arXiv.org.
    25. Nils Breitmar & Matthew C. Harding & Hanqiao Zhang, 2024. "Analysis of Proximity Informed User Behavior in a Global Online Social Network," Papers 2404.18979, arXiv.org.
    26. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    27. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    28. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    29. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Chen, Cathy Yi-hsuan & Okhrin, Yarema & Wang, Tengyao, 2022. "Monitoring network changes in social media," LSE Research Online Documents on Economics 113742, London School of Economics and Political Science, LSE Library.
    31. Candelaria, Luis E. & Ura, Takuya, 2023. "Identification and inference of network formation games with misclassified links," Journal of Econometrics, Elsevier, vol. 235(2), pages 862-891.

  22. Koen Jochmans & Martin Weidner, 2016. "Fixed-Effect Regressions on Network Data," Papers 1608.01532, arXiv.org, revised Apr 2019.

    Cited by:

    1. Philippe Choné & Lionel Wilner, 2015. "Complementarity or substitutability in networks? Methodology and application to the hospital industry," Working Papers 2015-07, Center for Research in Economics and Statistics.
    2. Bonhomme, Stéphane & Denis, Angela, 2024. "Estimating heterogeneous effects: Applications to labor economics," Labour Economics, Elsevier, vol. 91(C).
    3. Katarína Borovičková & Robert Shimer, 2017. "High Wage Workers Work for High Wage Firms," NBER Working Papers 24074, National Bureau of Economic Research, Inc.
    4. 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.
    5. Alviarez, Vanessa & Head, Keith & Mayer, Thierry, 2021. "Global Giants and Local Stars: How Changes in Brand Ownership Affect Competition," IDB Publications (Working Papers) 11329, Inter-American Development Bank.
    6. Francis Kramarz & Julien Martin & Isabelle Mejean, 2020. "Volatility in the Small and in the Large: the Lack of Diversification in International Trade," SciencePo Working papers Main hal-04207800, HAL.
    7. Bonhomme, Stéphane & Lamadon, Thibaut & Manresa, Elena, 2017. "Discretizing Unobserved Heterogeneity," Working Paper Series 2017:21, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    8. Junhui Cai & Dan Yang & Wu Zhu & Haipeng Shen & Linda Zhao, 2021. "Network regression and supervised centrality estimation," Papers 2111.12921, arXiv.org.
    9. Ester Faia & Gianmarco I. P. Ottaviano & Saverio Spinella, 2023. "Robot adoption, worker-firm sorting and wage inequality: evidence from administrative panel data," CEP Discussion Papers dp1902, Centre for Economic Performance, LSE.
    10. Ajay Bhaskarabhatla & Luis Cabral & Deepak Hegde & Thomas Peeters, 2021. "Are Inventors or Firms the Engines of Innovation?," Management Science, INFORMS, vol. 67(6), pages 3899-3920, June.
    11. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    12. Bonhomme, Stéphane & Holzheu, Kerstin & Lamadon, Thibaut & Manresa, Elena & Mogstad, Magne & Setzler, Bradley, 2021. "How much should we trust estimates of firm effcts and worker sorting?," Working Paper Series 2021:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    13. Thomas Peeters & Jan C. van Ours, 2022. "International Assortative Matching in the European Labor Market," Tinbergen Institute Discussion Papers 22-057/V, Tinbergen Institute.
    14. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2022. "Consumption peer effects and utility needs in India," Quantitative Economics, Econometric Society, vol. 13(3), pages 1257-1295, July.
    15. Jochmans, K., 2019. "Heteroskedasticity-Robust Inference in Linear Regression Models," Cambridge Working Papers in Economics 1957, Faculty of Economics, University of Cambridge.
    16. Michael P. Leung, 2023. "Network Cluster‐Robust Inference," Econometrica, Econometric Society, vol. 91(2), pages 641-667, March.
    17. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    18. Bartanen, Brendan & Husain, Aliza N., 2022. "Connected networks in principal value-added models," Economics of Education Review, Elsevier, vol. 90(C).
    19. Halvarsson, Daniel & Lark, Olga & Gustavsson Tingvall, Patrik, 2022. "Foreign Ownership and Transferring of Gender Norms," Working Paper Series 1433, Research Institute of Industrial Economics.
    20. Halvarsson, Daniel & Lark, Olga & Gustavsson Tingvall, Patrik, 2022. "Foreign Ownership and Transferring of Gender Norms," Working Papers 2022:6, Lund University, Department of Economics.
    21. Esteves, Rui & Geisler Mesevage, Gabriel, 2019. "Social Networks in Economic History: Opportunities and Challenges," Explorations in Economic History, Elsevier, vol. 74(C).

  23. Koen Jochmans, 2016. "Semiparametric Analysis of Network Formation," SciencePo Working papers Main hal-03393207, HAL.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
    3. Candelaria, Luis E., 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," The Warwick Economics Research Paper Series (TWERPS) 1279, University of Warwick, Department of Economics.
    4. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    5. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    6. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
    7. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    8. André, Pierre & Dupraz, Yannick, 2019. "Education and Polygamy : Evidence from Cameroon," The Warwick Economics Research Paper Series (TWERPS) 1219, University of Warwick, Department of Economics.
    9. HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
    10. Lockwood, Ben & Porcelli, Francesco & Redoano, Michela & Schiavone, Antonio, 2022. "Yardstick Competition in the Digital Age : Unveiling New Networks in Tax Competition," The Warwick Economics Research Paper Series (TWERPS) 1438, University of Warwick, Department of Economics.
    11. Gualdani, Cristina, 2018. "An Econometric Model of Network Formation with an Application to Board Interlocks between Firms," TSE Working Papers 17-898, Toulouse School of Economics (TSE), revised Jul 2019.
    12. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2024. "MCMC conditional maximum likelihood for the two-way fixed-effects logit," Econometric Reviews, Taylor & Francis Journals, vol. 43(6), pages 379-404, July.
    13. Wayne Yuan Gao & Ming Li & Sheng Xu, 2020. "Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities," Papers 2001.00691, arXiv.org, revised Jul 2021.
    14. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    15. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    16. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Jochmans, Koen, 2024. "Modified-likelihood estimation of fixed-effect models for dyadic data," TSE Working Papers 24-1502, Toulouse School of Economics (TSE).
    18. 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.
    19. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    20. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    21. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    22. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    23. Andrin Pelican & Bryan S. Graham, 2020. "An optimal test for strategic interaction in social and economic network formation between heterogeneous agents," Papers 2009.00212, arXiv.org, revised May 2022.
    24. L. Sanna Stephan, 2024. "Semiparametric Estimation of Individual Coefficients in a Dyadic Link Formation Model Lacking Observable Characteristics," Papers 2408.04552, arXiv.org.
    25. Nils Breitmar & Matthew C. Harding & Hanqiao Zhang, 2024. "Analysis of Proximity Informed User Behavior in a Global Online Social Network," Papers 2404.18979, arXiv.org.
    26. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    27. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    28. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    29. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Chen, Cathy Yi-hsuan & Okhrin, Yarema & Wang, Tengyao, 2022. "Monitoring network changes in social media," LSE Research Online Documents on Economics 113742, London School of Economics and Political Science, LSE Library.
    31. Candelaria, Luis E. & Ura, Takuya, 2023. "Identification and inference of network formation games with misclassified links," Journal of Econometrics, Elsevier, vol. 235(2), pages 862-891.

  24. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2016. "Estimating Multivariate Latent-Structure Models," Post-Print hal-03392022, HAL.

    Cited by:

    1. Koen Jochmans & Marc Henry & Bernard Salanié, 2017. "Inference on Two-Component Mixtures under Tail Restrictions," SciencePo Working papers Main hal-03945858, HAL.
    2. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, 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. Jochmans, Koen & Weidner, Martin, 2021. "Inference On A Distribution From Noisy Draws," TSE Working Papers 21-1275, Toulouse School of Economics (TSE).
    5. Hu, Yingyao, 2017. "The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics," Journal of Econometrics, Elsevier, vol. 200(2), pages 154-168.
    6. Ying Liu & Steven Andrew Culpepper & Yuguo Chen, 2023. "Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 361-386, June.
    7. Chen, Xiaohong & Linton, Oliver & Yi, Yanping, 2017. "Semiparametric identification of the bid–ask spread in extended Roll models," Journal of Econometrics, Elsevier, vol. 200(2), pages 312-325.
    8. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.

  25. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," SciencePo Working papers Main hal-03391995, HAL.

    Cited by:

    1. 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.
    2. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    3. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 88623, University Library of Munich, Germany.
    4. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    5. 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.
    6. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    7. 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.
    8. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    9. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    10. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    11. 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.
    12. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    13. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    14. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers 04/17, Institute for Fiscal Studies.
    15. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    16. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    17. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    18. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2021. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Land Economics, University of Wisconsin Press, vol. 97(4), pages 875-892.
    19. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    20. Bun, Maurice J.G. & Kleibergen, Frank, 2022. "Identification Robust Inference For Moments-Based Analysis Of Linear Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 38(4), pages 689-751, August.
    21. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    22. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.

  26. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.

    Cited by:

    1. 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.
    2. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    3. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 88623, University Library of Munich, Germany.
    4. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    5. 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.
    6. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    7. 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.
    8. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    9. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    10. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    11. 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.
    12. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    13. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    14. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers 04/17, Institute for Fiscal Studies.
    15. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    16. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    17. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    18. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2021. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Land Economics, University of Wisconsin Press, vol. 97(4), pages 875-892.
    19. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    20. Bun, Maurice J.G. & Kleibergen, Frank, 2022. "Identification Robust Inference For Moments-Based Analysis Of Linear Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 38(4), pages 689-751, August.
    21. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    22. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.

  27. Koen Jochmans & Geert Dhaene, 2015. "Bias-corrected estimation of panel vector autoregressions," SciencePo Working papers Main hal-01174330, HAL.

    Cited by:

    1. Inoue, Atsushi & Jordà , Òscar & Kuersteiner, Guido, 2024. "Inference for Local Projections," CEPR Discussion Papers 19379, C.E.P.R. Discussion Papers.
    2. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.
    3. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.

  28. Koen Jochmans & Stéphane Bonhomme & Jean-Marc Robin, 2015. "Nonparametric estimation of finite mixtures from repeated measurements," Post-Print hal-03568247, HAL.

    Cited by:

    1. Koen Jochmans & Marc Henry & Bernard Salanié, 2017. "Inference on Two-Component Mixtures under Tail Restrictions," SciencePo Working papers Main hal-03945858, HAL.
    2. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    3. Jochmans, Koen & Weidner, Martin, 2021. "Inference On A Distribution From Noisy Draws," TSE Working Papers 21-1275, Toulouse School of Economics (TSE).
    4. Bellemare, Charles & Sebald, Alexander, 2019. "Measuring Belief-Dependent Preferences without Information about Beliefs," IZA Discussion Papers 12153, Institute of Labor Economics (IZA).
    5. Rasmus Lentz & Jean Marc Robin & Suphanit Piyapromdee, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," 2018 Meeting Papers 469, Society for Economic Dynamics.
    6. Hu, Yingyao, 2017. "The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics," Journal of Econometrics, Elsevier, vol. 200(2), pages 154-168.
    7. Stephane Bonhomme, 2021. "Teams: Heterogeneity, Sorting, and Complementarity," Papers 2102.01802, arXiv.org.
    8. Qihui Chen & Zheng Fang, 2018. "Improved Inference on the Rank of a Matrix," Papers 1812.02337, arXiv.org, revised Mar 2019.
    9. Christoph Engel, 2019. "Estimating Heterogeneous Reactions to Experimental Treatments," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2019_01, Max Planck Institute for Research on Collective Goods.
    10. Jochmans, Koen, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Journal of Econometrics, Elsevier, vol. 242(2).
    11. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    12. Xiaotian Zhu & David R. Hunter, 2019. "Clustering via finite nonparametric ICA mixture models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 65-87, March.

  29. Koen Jochmans, 2015. "Multiplicative-error models with sample selection," Post-Print hal-03392990, HAL.

    Cited by:

    1. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    2. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
    3. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.
    4. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2021. "Intercept Estimation in Nonlinear Selection Models," IZA Discussion Papers 14364, Institute of Labor Economics (IZA).

  30. Koen Jochmans, 2015. "Two-way models for gravity," SciencePo Working papers hal-01114776, HAL.

    Cited by:

    1. Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
    2. Candelaria, Luis E., 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," The Warwick Economics Research Paper Series (TWERPS) 1279, University of Warwick, Department of Economics.
    3. Martin, Will, 2020. "Making Gravity Great Again," 2020: Economic Implications of COVID-19, December 14-15, Virtual Platform 339376, International Agricultural Trade Research Consortium.
    4. Jules Hugot & Camilo Umana Dajud, 2016. "Trade costs and the Suez and Panama Canals," Working Papers 2016-29, CEPII research center.
    5. Giorgio Fagiolo & Tommaso Rughi, 2021. "Exploring the Macroeconomic Drivers of International Bilateral-Remittance Flows: A Gravity-Model Approach," LEM Papers Series 2021/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Bougherara, Douadia & Piet, Laurent, 2018. "On the role of probability weighting on WTP for crop insurance with and without yield skewness," Working Papers 279351, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    7. 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.
    8. Lockwood, Ben & Porcelli, Francesco & Redoano, Michela & Schiavone, Antonio, 2022. "Yardstick Competition in the Digital Age : Unveiling New Networks in Tax Competition," The Warwick Economics Research Paper Series (TWERPS) 1438, University of Warwick, Department of Economics.
    9. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    10. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    11. 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.
    12. Mario Larch & Yoto V. Yotov, 2024. "Estimating the effects of trade agreements: Lessons from 60 years of methods and data," The World Economy, Wiley Blackwell, vol. 47(5), pages 1771-1799, May.
    13. Jochmans, K. & Verardi, V., 2019. "twexp and twgravity: Estimating exponential regression models with two-way fixed effects," Cambridge Working Papers in Economics 1945, Faculty of Economics, University of Cambridge.
    14. Michael Pfaffermayr, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, CEPII research center, issue 161, pages 188-198.
    15. Kwon, Ohyun & Yoon, Jangsu & Yotov, Yoto, 2022. "A Generalized Poisson-Pseudo Maximum Likelihood Estimator," School of Economics Working Paper Series 2022-13, LeBow College of Business, Drexel University.
    16. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Hugo Rojas-Romagosa & Johannes Bollen, 2018. "Estimating migration changes from the EU’s free movement of people principle," CPB Discussion Paper 385, CPB Netherlands Bureau for Economic Policy Analysis.
    18. Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
    19. J. M. C. Santos Silva & Silvana Tenreyro, 2022. "The Log of Gravity at 15," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 423-437, September.
    20. Choi Nakgyoon, 2018. "Economic Effects of Anti-Dumping Duties: Protectionist Measures or Trade Remedies?," Working Papers id:12447, eSocialSciences.
    21. Camilo Umana Dajud, 2016. "Do Visas Hinder International Trade in Goods?," Working Papers 2016-30, CEPII research center.
    22. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    23. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Shipping Container Disruptions and U.S. Agricultural Exports," Working Papers 320397, International Agricultural Trade Research Consortium.

  31. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," SciencePo Working papers Main hal-01070553, HAL.

    Cited by:

    1. Xiao, Jiaqi & Juodis, Arturas & Karavias, Yiannis & Sarafidis, Vasilis & Ditzen, Jan, 2022. "Improved Tests for Granger Non-Causality in Panel Data," MPRA Paper 114231, University Library of Munich, Germany.
    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. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. de Groot, Oliver & Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Nikalexi, Katerina, 2020. "Monetary policy and regional inequality," Working Paper Series 2385, European Central Bank.
    5. Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
    6. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    7. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    8. Ghazala Aziz & Suleman Sarwar, 2023. "Empirical Evidence of Environmental Technologies, Renewable Energy and Tourism to Minimize the Environmental Damages: Implication of Advanced Panel Analysis," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    9. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    10. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    11. Marwa Elsherif, 2024. "Nexus between Blue Economy, Renewable Energy and Environmental Sustainability in the MENA Region: Evidence from Panel Threshold Regression," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 169-185, July.
    12. 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.
    13. Alexander Chudik & M. Hashem Pesaran, 2018. "Mean Group Estimation in Presence of Weakly Cross-Correlated Estimators," Globalization Institute Working Papers 349, Federal Reserve Bank of Dallas.
    14. 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.
    15. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    16. Ryo Okui, 2017. "Misspecification in Dynamic Panel Data Models and Model-Free Inferences," The Japanese Economic Review, Springer, vol. 68(3), pages 283-304, September.
    17. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    18. 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.
    19. 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.
    20. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    21. Chengwang Liao & Ziwei Mei & Zhentao Shi, 2024. "Nickell Meets Stambaugh: A Tale of Two Biases in Panel Predictive Regressions," Papers 2410.09825, arXiv.org.
    22. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    23. Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
    24. Jochmans, Koen & Weidner, Martin, 2021. "Inference On A Distribution From Noisy Draws," TSE Working Papers 21-1275, Toulouse School of Economics (TSE).
    25. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    26. Okumus, İlyas & Guzel, Arif Eser & Destek, Mehmet Akif, 2021. "Renewable, Non-renewable Energy Consumption and Economic Growth Nexus in G7: Fresh Evidence from CS-ARDL," MPRA Paper 114136, University Library of Munich, Germany.
    27. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    28. W. Robert Reed & Min Zhu, 2015. "On Estimating Long-Run Effects in Models with Lagged Dependent Variables," Working Papers in Economics 15/18, University of Canterbury, Department of Economics and Finance.
    29. Abida Naurin & Panayiotis M. Pourpourides, 2023. "On the causality between household and government spending on education: evidence from a panel of 40 countries," Empirical Economics, Springer, vol. 65(2), pages 567-585, August.
    30. Wang, Wuyi & Su, Liangjun, 2017. "Identifying Latent Group Structures in Nonlinear Panels," Economics and Statistics Working Papers 19-2017, Singapore Management University, School of Economics.
    31. 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.
    32. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    33. Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
    34. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    35. 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.
    36. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    37. Vasco Gabriel, 2021. "Institutional Arrangements and Inflation Bias: A Dynamic Heterogeneous Panel Approach," Working Papers w202106, Banco de Portugal, Economics and Research Department.
    38. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    39. 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.
    40. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    41. Francesco Fallucchi & Andrea Mercatanti & Jan Niederreiter, 2021. "Identifying types in contest experiments," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(1), pages 39-61, March.
    42. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    43. Nwani, Chinazaekpere & Usman, Ojonugwa & Okere, Kingsley Ikechukwu & Bekun, Festus Victor, 2023. "Technological pathways to decarbonisation and the role of renewable energy: A study of European countries using consumption-based metrics," Resources Policy, Elsevier, vol. 83(C).
    44. Sun, Yixiao & Kim, Min Seong, 2009. "k-step Bootstrap Bias Correction for Fixed Effects Estimators in Nonlinear Panel Models," University of California at San Diego, Economics Working Paper Series qt9gn6n5mr, Department of Economics, UC San Diego.
    45. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    46. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2021. "Financial Development, Reforms and Growth," Bank of Lithuania Working Paper Series 98, Bank of Lithuania.
    47. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    48. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    49. Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner, 2016. "probitfe and logitfe: Bias corrections for probit and logit models with two-way fixed effects," Papers 1610.07714, arXiv.org, revised Feb 2017.
    50. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    51. Wen, Jun & Mughal, Nafeesa & Kashif, Maryam & Jain, Vipin & Ramos Meza, Carlos Samuel & Cong, Phan The, 2022. "Volatility in natural resources prices and economic performance: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 75(C).
    52. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    53. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    54. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    55. 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.
    56. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    57. Bartolucci, Francesco & Pigini, Claudia, 2019. "Partial effects estimation for fixed-effects logit panel data models," MPRA Paper 92243, University Library of Munich, Germany.
    58. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    59. 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.
    60. 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.
    61. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    62. Jochmans, Koen, 2024. "Modified-likelihood estimation of fixed-effect models for dyadic data," TSE Working Papers 24-1502, Toulouse School of Economics (TSE).
    63. Talan, Amogh & Rao, Amar & Sharma, Gagan Deep & Apostu, Simona-Andreea & Abbas, Shujaat, 2023. "Transition towards clean energy consumption in G7: Can financial sector, ICT and democracy help?," Resources Policy, Elsevier, vol. 82(C).
    64. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    65. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    66. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    67. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    68. 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.
    69. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
    70. Paulo M.M. Rodrigues & Pedro Portugal & Anabela Carneiro, 2021. "The persistence of wages," Working Papers w202112, Banco de Portugal, Economics and Research Department.
    71. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
    72. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    73. Giulia Bettin & Claudia Pigini & Alberto Zazzaro, 2020. "Financial inclusion and poverty transitions: an empirical analysis for Italy," Mo.Fi.R. Working Papers 164, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    74. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
    75. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    76. Hordofa, Tolassa Temesgen & Liying, Song & Mughal, Nafeesa & Arif, Asma & Minh Vu, Hieu & Kaur, Prabjot, 2022. "Natural resources rents and economic performance: Post-COVID-19 era for G7 countries," Resources Policy, Elsevier, vol. 75(C).
    77. Oconnor, Christopher, 2023. "Robust estimates of vulnerability to poverty using quantile models," Economic Modelling, Elsevier, vol. 123(C).
    78. Bajo-Rubio, Oscar & Ramos-Herrera, María del Carmen, 2023. "Does international trade promote economic growth? Europe, 19th and 20th centuries," GLO Discussion Paper Series 1358, Global Labor Organization (GLO).
    79. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina & Prümer, Stephanie, 2022. "Understanding the public-private sector wage gap in Germany: New evidence from a Fixed Effects quantile Approach∗," Economic Modelling, Elsevier, vol. 116(C).
    80. 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.
    81. Michael Haylock, 2022. "Distributional differences in the time horizon of executive compensation," Empirical Economics, Springer, vol. 62(1), pages 157-186, January.
    82. 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.
    83. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    84. Liang Chen & Minyuan Zhang, 2023. "Common Correlated Effects Estimation of Nonlinear Panel Data Models," Papers 2304.13199, arXiv.org.
    85. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    86. Raf Van Gestel & Tobias Mueller & Johan Bosmans, 2018. "Learning from failure in healthcare: Dynamic panel evidence of a physician shock effect," Diskussionsschriften dp1809, Universitaet Bern, Departement Volkswirtschaft.
    87. Ziwei Mei & Liugang Sheng & Zhentao Shi, 2023. "Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You Think," Papers 2302.13455, arXiv.org, revised Oct 2023.
    88. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina & Prümer, Stephanie, 2021. "Does it pay to go public? Understanding the public-private sector wage gap in Germany," Discussion Papers 116, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    89. Ntarmah, Albert Henry & Kong, Yusheng & Cobbinah, Eric & Gyan, Micheal Kobina & Manu, Emmanuel Kwaku, 2020. "Analysis of the Responsiveness of Environmental Sustainability to Non-Performing Loans in Africa," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 27(2).
    90. Simar, Léopold & Zelenyuk, Valentin, 2020. "Improving finite sample approximation by central limit theorems for estimates from Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1002-1015.
    91. Grigory Franguridi & Bulat Gafarov & Kaspar Wüthrich, 2021. "Conditional Quantile Estimators: A Small Sample Theory," CESifo Working Paper Series 9046, CESifo.
    92. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2013. "Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income," IZA Discussion Papers 7651, Institute of Labor Economics (IZA).
    93. Arturas Juodis & Yiannis Karavias, 2019. "Partially heterogeneous tests for Granger non-causality in panel data," Bank of Lithuania Working Paper Series 59, Bank of Lithuania.
    94. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    95. You, Wanhai & Zhang, Yue & Lee, Chien-Chiang, 2022. "The dynamic impact of economic growth and economic complexity on CO2 emissions: An advanced panel data estimation," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 112-128.
    96. Bo E. Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," CeMMAP working papers CWP14/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    97. Blazsek, Szabolcs, 2012. "Patents, secret innovations and firm's rate of return : differential effects of the innovation leader," UC3M Working papers. Economics we1202, Universidad Carlos III de Madrid. Departamento de Economía.
    98. 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.
    99. Besstremyannaya, Galina & Golovan, Sergei, 2021. "Measuring heterogeneity with fixed effect quantile regression: Long panels and short panels," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 70-82.
    100. Ramon Cobo-Reyes & Gabriel Katz & Simone Meraglia, 2017. "Endogenous Sanctioning Institutions and Migration Patterns: Experimental Evidence," Discussion Papers 1702, University of Exeter, Department of Economics.
    101. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2019. "Predicting fixed effects in panel probit models," Monash Economics Working Papers 10-19, Monash University, Department of Economics.
    102. Xie, Bofeng & Rehman, Mubeen Abdur & Zhang, Junyan & Yang, Runze, 2022. "Does the financialization of natural resources lead toward sustainability? An application of advance panel Granger non-causality," Resources Policy, Elsevier, vol. 79(C).
    103. Sasaki, Shusaku, 2019. "Majority size and conformity behavior in charitable giving: Field evidence from a donation-based crowdfunding platform in Japan," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 36-51.
    104. St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
    105. Bednarek, Peter & Dinger, Valeriya & Schultz, Alison & von Westernhagen, Natalja, 2023. "Banks of a feather: The informational advantage of being alike," Discussion Papers 09/2023, Deutsche Bundesbank.
    106. Li, Kunpeng, 2018. "Spatial panel data models with structural change," MPRA Paper 85388, University Library of Munich, Germany.
    107. 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.
    108. João Martins & Linda Veiga & Bruno Fernandes, 2021. "Does electronic government deter corruption? Evidence from across the world," NIPE Working Papers 02/2021, NIPE - Universidade do Minho.
    109. 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.
    110. Bel, Germà & Joseph, Stephan, 2018. "Policy stringency under the European Union Emission trading system and its impact on technological change in the energy sector," Energy Policy, Elsevier, vol. 117(C), pages 434-444.
    111. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.
    112. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    113. Bargain, Olivier & Etienne, Audrey & Melly, Blaise, 2021. "Informal pay gaps in good and bad times: Evidence from Russia," Journal of Comparative Economics, Elsevier, vol. 49(3), pages 693-714.
    114. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    115. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    116. Alessandra Casarico & Paola Profeta & Chiara Pronzato, 2012. "On the local labor market determinants of female university enrolment in European regions," Carlo Alberto Notebooks 278, Collegio Carlo Alberto.
    117. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    118. Liang, Huijun & Shi, Changkuan & Abid, Nabila & Yu, Yanliang, 2023. "Are digitalization and human development discarding the resource curse in emerging economies?," Resources Policy, Elsevier, vol. 85(PB).
    119. Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Renault, Théodore, 2022. "Risk sharing and monetary policy transmission," Working Paper Series 2746, European Central Bank.
    120. 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.
    121. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    122. Golovan, Sergei & Volchkova, Natalya, 2022. "How costly is exporting? An empirical assessment of trade model with heterogeneous firms," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 93-116.
    123. Godøy, Anna & Huitfeldt, Ingrid, 2020. "Regional variation in health care utilization and mortality," Journal of Health Economics, Elsevier, vol. 71(C).
    124. Asif Tariq & Aadil Amin & Masroor Ahmad, 2024. "Deciphering the non-linear nexus between government size and inflation in MENA countries: an application of dynamic-panel threshold model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-20, December.
    125. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    126. Song, Jia & Cheng, Terence C., 2020. "How do gender differences in family responsibilities affect doctors' labour supply? Evidence from Australian panel data," Social Science & Medicine, Elsevier, vol. 265(C).
    127. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    128. 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.
    129. 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.
    130. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," SciencePo Working papers Main hal-04067326, HAL.
    131. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    132. Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang, 2024. "Arellano-bond lasso estimator for dynamic linear panel models," CeMMAP working papers 09/24, Institute for Fiscal Studies.
    133. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
    134. Riccardo Lucchetti & Claudia Pigini, 2018. "Dynamic panel probit: finite-sample performance of alternative random-effects estimators," Working Papers 426, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    135. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    136. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
    137. Hahn, Jinyong & Liu, Xueyuan, 2022. "Jackknife bias reduction for simulated maximum likelihood estimator of discrete choice models," Economics Letters, Elsevier, vol. 219(C).
    138. Rabe, Collin & Waddle, Andrea, 2020. "The evolution of purchasing power parity," Journal of International Money and Finance, Elsevier, vol. 109(C).
    139. Sharon Traiberman, 2019. "Occupations and Import Competition: Evidence from Denmark," American Economic Review, American Economic Association, vol. 109(12), pages 4260-4301, December.
    140. Rehman, Mubeen Abdur, 2024. "How has FinTech become a solution for minerals management?," Resources Policy, Elsevier, vol. 92(C).
    141. Livio Di Matteo & Robert Petrunia, 2022. "Does economic inequality breed murder? An empirical investigation of the relationship between economic inequality and homicide rates in Canadian provinces and CMAs," Empirical Economics, Springer, vol. 62(6), pages 2951-2988, June.
    142. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    143. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    144. Van Gestel, R.; Müller, T.; Bosmans, J.;, 2017. "Learning from failure in healthcare: dynamic panel evidence of a physician shock effect," Health, Econometrics and Data Group (HEDG) Working Papers 17/24, HEDG, c/o Department of Economics, University of York.
    145. 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.
    146. Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
    147. 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.
    148. Buchmueller, Thomas C. & Cheng, Terence C. & Pham, Ngoc T.A. & Staub, Kevin E., 2021. "The effect of income-based mandates on the demand for private hospital insurance and its dynamics," Journal of Health Economics, Elsevier, vol. 75(C).
    149. 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.
    150. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    151. Lu, Xun & Su, Liangjun, 2020. "Determining individual or time effects in panel data models," Journal of Econometrics, Elsevier, vol. 215(1), pages 60-83.
    152. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).
    153. Xin Liu & Wei-Guo Wang & Hai-Jun Liu, 2016. "The Efficiency of Split Panel Designs in an Analysis of Variance Model," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-20, May.
    154. Kim, Jounghyeon, 2023. "Does population aging matter for remittances in developing countries?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1038-1056.
    155. 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.
    156. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.
    157. Hugo Kruiniger, 2021. "Root-n-consistent Conditional ML estimation of dynamic panel logit models with fixed effects," Papers 2103.04973, arXiv.org, revised Apr 2021.
    158. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
    159. Riccardo (Jack) Lucchetti & Claudia Pigini, 2020. "Choice of solutions to the initial-conditions problem in dynamic panel probit models," Working Papers 2020:27, Department of Economics, University of Venice "Ca' Foscari".

  32. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," SciencePo Working papers Main hal-01070553, HAL.

    Cited by:

    1. Xiao, Jiaqi & Juodis, Arturas & Karavias, Yiannis & Sarafidis, Vasilis & Ditzen, Jan, 2022. "Improved Tests for Granger Non-Causality in Panel Data," MPRA Paper 114231, University Library of Munich, Germany.
    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. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. de Groot, Oliver & Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Nikalexi, Katerina, 2020. "Monetary policy and regional inequality," Working Paper Series 2385, European Central Bank.
    5. Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
    6. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    7. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    8. Ghazala Aziz & Suleman Sarwar, 2023. "Empirical Evidence of Environmental Technologies, Renewable Energy and Tourism to Minimize the Environmental Damages: Implication of Advanced Panel Analysis," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    9. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    10. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    11. Marwa Elsherif, 2024. "Nexus between Blue Economy, Renewable Energy and Environmental Sustainability in the MENA Region: Evidence from Panel Threshold Regression," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 169-185, July.
    12. 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.
    13. Alexander Chudik & M. Hashem Pesaran, 2018. "Mean Group Estimation in Presence of Weakly Cross-Correlated Estimators," Globalization Institute Working Papers 349, Federal Reserve Bank of Dallas.
    14. 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.
    15. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    16. Ryo Okui, 2017. "Misspecification in Dynamic Panel Data Models and Model-Free Inferences," The Japanese Economic Review, Springer, vol. 68(3), pages 283-304, September.
    17. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    18. 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.
    19. 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.
    20. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    21. Chengwang Liao & Ziwei Mei & Zhentao Shi, 2024. "Nickell Meets Stambaugh: A Tale of Two Biases in Panel Predictive Regressions," Papers 2410.09825, arXiv.org.
    22. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    23. Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
    24. Jochmans, Koen & Weidner, Martin, 2021. "Inference On A Distribution From Noisy Draws," TSE Working Papers 21-1275, Toulouse School of Economics (TSE).
    25. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    26. Okumus, İlyas & Guzel, Arif Eser & Destek, Mehmet Akif, 2021. "Renewable, Non-renewable Energy Consumption and Economic Growth Nexus in G7: Fresh Evidence from CS-ARDL," MPRA Paper 114136, University Library of Munich, Germany.
    27. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    28. W. Robert Reed & Min Zhu, 2015. "On Estimating Long-Run Effects in Models with Lagged Dependent Variables," Working Papers in Economics 15/18, University of Canterbury, Department of Economics and Finance.
    29. Abida Naurin & Panayiotis M. Pourpourides, 2023. "On the causality between household and government spending on education: evidence from a panel of 40 countries," Empirical Economics, Springer, vol. 65(2), pages 567-585, August.
    30. Wang, Wuyi & Su, Liangjun, 2017. "Identifying Latent Group Structures in Nonlinear Panels," Economics and Statistics Working Papers 19-2017, Singapore Management University, School of Economics.
    31. 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.
    32. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    33. Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
    34. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    35. 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.
    36. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    37. Vasco Gabriel, 2021. "Institutional Arrangements and Inflation Bias: A Dynamic Heterogeneous Panel Approach," Working Papers w202106, Banco de Portugal, Economics and Research Department.
    38. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    39. 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.
    40. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    41. Francesco Fallucchi & Andrea Mercatanti & Jan Niederreiter, 2021. "Identifying types in contest experiments," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(1), pages 39-61, March.
    42. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    43. Nwani, Chinazaekpere & Usman, Ojonugwa & Okere, Kingsley Ikechukwu & Bekun, Festus Victor, 2023. "Technological pathways to decarbonisation and the role of renewable energy: A study of European countries using consumption-based metrics," Resources Policy, Elsevier, vol. 83(C).
    44. Sun, Yixiao & Kim, Min Seong, 2009. "k-step Bootstrap Bias Correction for Fixed Effects Estimators in Nonlinear Panel Models," University of California at San Diego, Economics Working Paper Series qt9gn6n5mr, Department of Economics, UC San Diego.
    45. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    46. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2021. "Financial Development, Reforms and Growth," Bank of Lithuania Working Paper Series 98, Bank of Lithuania.
    47. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    48. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    49. Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner, 2016. "probitfe and logitfe: Bias corrections for probit and logit models with two-way fixed effects," Papers 1610.07714, arXiv.org, revised Feb 2017.
    50. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    51. Wen, Jun & Mughal, Nafeesa & Kashif, Maryam & Jain, Vipin & Ramos Meza, Carlos Samuel & Cong, Phan The, 2022. "Volatility in natural resources prices and economic performance: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 75(C).
    52. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    53. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    54. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    55. 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.
    56. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    57. Bartolucci, Francesco & Pigini, Claudia, 2019. "Partial effects estimation for fixed-effects logit panel data models," MPRA Paper 92243, University Library of Munich, Germany.
    58. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    59. 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.
    60. 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.
    61. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    62. Jochmans, Koen, 2024. "Modified-likelihood estimation of fixed-effect models for dyadic data," TSE Working Papers 24-1502, Toulouse School of Economics (TSE).
    63. Talan, Amogh & Rao, Amar & Sharma, Gagan Deep & Apostu, Simona-Andreea & Abbas, Shujaat, 2023. "Transition towards clean energy consumption in G7: Can financial sector, ICT and democracy help?," Resources Policy, Elsevier, vol. 82(C).
    64. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    65. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    66. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    67. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    68. 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.
    69. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
    70. Paulo M.M. Rodrigues & Pedro Portugal & Anabela Carneiro, 2021. "The persistence of wages," Working Papers w202112, Banco de Portugal, Economics and Research Department.
    71. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
    72. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    73. Giulia Bettin & Claudia Pigini & Alberto Zazzaro, 2020. "Financial inclusion and poverty transitions: an empirical analysis for Italy," Mo.Fi.R. Working Papers 164, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    74. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
    75. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    76. Hordofa, Tolassa Temesgen & Liying, Song & Mughal, Nafeesa & Arif, Asma & Minh Vu, Hieu & Kaur, Prabjot, 2022. "Natural resources rents and economic performance: Post-COVID-19 era for G7 countries," Resources Policy, Elsevier, vol. 75(C).
    77. Oconnor, Christopher, 2023. "Robust estimates of vulnerability to poverty using quantile models," Economic Modelling, Elsevier, vol. 123(C).
    78. Bajo-Rubio, Oscar & Ramos-Herrera, María del Carmen, 2023. "Does international trade promote economic growth? Europe, 19th and 20th centuries," GLO Discussion Paper Series 1358, Global Labor Organization (GLO).
    79. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina & Prümer, Stephanie, 2022. "Understanding the public-private sector wage gap in Germany: New evidence from a Fixed Effects quantile Approach∗," Economic Modelling, Elsevier, vol. 116(C).
    80. 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.
    81. Michael Haylock, 2022. "Distributional differences in the time horizon of executive compensation," Empirical Economics, Springer, vol. 62(1), pages 157-186, January.
    82. 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.
    83. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    84. Liang Chen & Minyuan Zhang, 2023. "Common Correlated Effects Estimation of Nonlinear Panel Data Models," Papers 2304.13199, arXiv.org.
    85. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    86. Raf Van Gestel & Tobias Mueller & Johan Bosmans, 2018. "Learning from failure in healthcare: Dynamic panel evidence of a physician shock effect," Diskussionsschriften dp1809, Universitaet Bern, Departement Volkswirtschaft.
    87. Ziwei Mei & Liugang Sheng & Zhentao Shi, 2023. "Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You Think," Papers 2302.13455, arXiv.org, revised Oct 2023.
    88. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina & Prümer, Stephanie, 2021. "Does it pay to go public? Understanding the public-private sector wage gap in Germany," Discussion Papers 116, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    89. Ntarmah, Albert Henry & Kong, Yusheng & Cobbinah, Eric & Gyan, Micheal Kobina & Manu, Emmanuel Kwaku, 2020. "Analysis of the Responsiveness of Environmental Sustainability to Non-Performing Loans in Africa," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 27(2).
    90. Simar, Léopold & Zelenyuk, Valentin, 2020. "Improving finite sample approximation by central limit theorems for estimates from Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1002-1015.
    91. Grigory Franguridi & Bulat Gafarov & Kaspar Wüthrich, 2021. "Conditional Quantile Estimators: A Small Sample Theory," CESifo Working Paper Series 9046, CESifo.
    92. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2013. "Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income," IZA Discussion Papers 7651, Institute of Labor Economics (IZA).
    93. Arturas Juodis & Yiannis Karavias, 2019. "Partially heterogeneous tests for Granger non-causality in panel data," Bank of Lithuania Working Paper Series 59, Bank of Lithuania.
    94. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    95. You, Wanhai & Zhang, Yue & Lee, Chien-Chiang, 2022. "The dynamic impact of economic growth and economic complexity on CO2 emissions: An advanced panel data estimation," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 112-128.
    96. Bo E. Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," CeMMAP working papers CWP14/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    97. Blazsek, Szabolcs, 2012. "Patents, secret innovations and firm's rate of return : differential effects of the innovation leader," UC3M Working papers. Economics we1202, Universidad Carlos III de Madrid. Departamento de Economía.
    98. 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.
    99. Besstremyannaya, Galina & Golovan, Sergei, 2021. "Measuring heterogeneity with fixed effect quantile regression: Long panels and short panels," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 70-82.
    100. Ramon Cobo-Reyes & Gabriel Katz & Simone Meraglia, 2017. "Endogenous Sanctioning Institutions and Migration Patterns: Experimental Evidence," Discussion Papers 1702, University of Exeter, Department of Economics.
    101. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2019. "Predicting fixed effects in panel probit models," Monash Economics Working Papers 10-19, Monash University, Department of Economics.
    102. Xie, Bofeng & Rehman, Mubeen Abdur & Zhang, Junyan & Yang, Runze, 2022. "Does the financialization of natural resources lead toward sustainability? An application of advance panel Granger non-causality," Resources Policy, Elsevier, vol. 79(C).
    103. Sasaki, Shusaku, 2019. "Majority size and conformity behavior in charitable giving: Field evidence from a donation-based crowdfunding platform in Japan," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 36-51.
    104. St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
    105. Bednarek, Peter & Dinger, Valeriya & Schultz, Alison & von Westernhagen, Natalja, 2023. "Banks of a feather: The informational advantage of being alike," Discussion Papers 09/2023, Deutsche Bundesbank.
    106. Li, Kunpeng, 2018. "Spatial panel data models with structural change," MPRA Paper 85388, University Library of Munich, Germany.
    107. 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.
    108. João Martins & Linda Veiga & Bruno Fernandes, 2021. "Does electronic government deter corruption? Evidence from across the world," NIPE Working Papers 02/2021, NIPE - Universidade do Minho.
    109. 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.
    110. Bel, Germà & Joseph, Stephan, 2018. "Policy stringency under the European Union Emission trading system and its impact on technological change in the energy sector," Energy Policy, Elsevier, vol. 117(C), pages 434-444.
    111. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.
    112. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    113. Bargain, Olivier & Etienne, Audrey & Melly, Blaise, 2021. "Informal pay gaps in good and bad times: Evidence from Russia," Journal of Comparative Economics, Elsevier, vol. 49(3), pages 693-714.
    114. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    115. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    116. Alessandra Casarico & Paola Profeta & Chiara Pronzato, 2012. "On the local labor market determinants of female university enrolment in European regions," Carlo Alberto Notebooks 278, Collegio Carlo Alberto.
    117. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    118. Liang, Huijun & Shi, Changkuan & Abid, Nabila & Yu, Yanliang, 2023. "Are digitalization and human development discarding the resource curse in emerging economies?," Resources Policy, Elsevier, vol. 85(PB).
    119. Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Renault, Théodore, 2022. "Risk sharing and monetary policy transmission," Working Paper Series 2746, European Central Bank.
    120. 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.
    121. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    122. Golovan, Sergei & Volchkova, Natalya, 2022. "How costly is exporting? An empirical assessment of trade model with heterogeneous firms," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 93-116.
    123. Godøy, Anna & Huitfeldt, Ingrid, 2020. "Regional variation in health care utilization and mortality," Journal of Health Economics, Elsevier, vol. 71(C).
    124. Asif Tariq & Aadil Amin & Masroor Ahmad, 2024. "Deciphering the non-linear nexus between government size and inflation in MENA countries: an application of dynamic-panel threshold model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-20, December.
    125. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    126. Song, Jia & Cheng, Terence C., 2020. "How do gender differences in family responsibilities affect doctors' labour supply? Evidence from Australian panel data," Social Science & Medicine, Elsevier, vol. 265(C).
    127. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    128. 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.
    129. 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.
    130. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," SciencePo Working papers Main hal-04067326, HAL.
    131. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    132. Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang, 2024. "Arellano-bond lasso estimator for dynamic linear panel models," CeMMAP working papers 09/24, Institute for Fiscal Studies.
    133. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
    134. Riccardo Lucchetti & Claudia Pigini, 2018. "Dynamic panel probit: finite-sample performance of alternative random-effects estimators," Working Papers 426, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    135. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    136. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
    137. Hahn, Jinyong & Liu, Xueyuan, 2022. "Jackknife bias reduction for simulated maximum likelihood estimator of discrete choice models," Economics Letters, Elsevier, vol. 219(C).
    138. Rabe, Collin & Waddle, Andrea, 2020. "The evolution of purchasing power parity," Journal of International Money and Finance, Elsevier, vol. 109(C).
    139. Sharon Traiberman, 2019. "Occupations and Import Competition: Evidence from Denmark," American Economic Review, American Economic Association, vol. 109(12), pages 4260-4301, December.
    140. Rehman, Mubeen Abdur, 2024. "How has FinTech become a solution for minerals management?," Resources Policy, Elsevier, vol. 92(C).
    141. Livio Di Matteo & Robert Petrunia, 2022. "Does economic inequality breed murder? An empirical investigation of the relationship between economic inequality and homicide rates in Canadian provinces and CMAs," Empirical Economics, Springer, vol. 62(6), pages 2951-2988, June.
    142. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    143. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    144. Van Gestel, R.; Müller, T.; Bosmans, J.;, 2017. "Learning from failure in healthcare: dynamic panel evidence of a physician shock effect," Health, Econometrics and Data Group (HEDG) Working Papers 17/24, HEDG, c/o Department of Economics, University of York.
    145. 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.
    146. Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
    147. 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.
    148. Buchmueller, Thomas C. & Cheng, Terence C. & Pham, Ngoc T.A. & Staub, Kevin E., 2021. "The effect of income-based mandates on the demand for private hospital insurance and its dynamics," Journal of Health Economics, Elsevier, vol. 75(C).
    149. 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.
    150. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    151. Lu, Xun & Su, Liangjun, 2020. "Determining individual or time effects in panel data models," Journal of Econometrics, Elsevier, vol. 215(1), pages 60-83.
    152. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).
    153. Xin Liu & Wei-Guo Wang & Hai-Jun Liu, 2016. "The Efficiency of Split Panel Designs in an Analysis of Variance Model," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-20, May.
    154. Kim, Jounghyeon, 2023. "Does population aging matter for remittances in developing countries?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1038-1056.
    155. 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.
    156. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.
    157. Hugo Kruiniger, 2021. "Root-n-consistent Conditional ML estimation of dynamic panel logit models with fixed effects," Papers 2103.04973, arXiv.org, revised Apr 2021.
    158. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
    159. Riccardo (Jack) Lucchetti & Claudia Pigini, 2020. "Choice of solutions to the initial-conditions problem in dynamic panel probit models," Working Papers 2020:27, Department of Economics, University of Venice "Ca' Foscari".

  33. Marc Henry & Koen Jochmans & Bernard Salanié, 2014. "Inference on Mixtures Under Tail Restrictions," SciencePo Working papers hal-01053810, HAL.

    Cited by:

    1. Koen Jochmans & Marc Henry & Bernard Salanié, 2017. "Inference on Two-Component Mixtures under Tail Restrictions," SciencePo Working papers Main hal-03945858, HAL.
    2. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Estimating Multivariate Latent-Structure Models," SciencePo Working papers Main hal-01097135, HAL.
    3. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Nonparametric spectral-based estimation of latent structures," CeMMAP working papers CWP18/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  34. Koen Jochmans, 2014. "Multiplicative-error models with sample selection," SciencePo Working papers Main hal-00987290, HAL.

    Cited by:

    1. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    2. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
    3. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.
    4. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2021. "Intercept Estimation in Nonlinear Selection Models," IZA Discussion Papers 14364, Institute of Labor Economics (IZA).

  35. Marc Henry & Koen Jochmans & Bernard Salanié, 2014. "Inference on Mixtures Under Tail Restrictions," SciencePo Working papers Main hal-01053810, HAL.

    Cited by:

    1. Koen Jochmans & Marc Henry & Bernard Salanié, 2017. "Inference on Two-Component Mixtures under Tail Restrictions," SciencePo Working papers Main hal-03945858, HAL.
    2. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Estimating Multivariate Latent-Structure Models," SciencePo Working papers Main hal-01097135, HAL.
    3. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Nonparametric spectral-based estimation of latent structures," CeMMAP working papers CWP18/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  36. Koen Jochmans, 2014. "Multiplicative-error models with sample selection," SciencePo Working papers hal-00987290, HAL.

    Cited by:

    1. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    2. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
    3. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.
    4. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2021. "Intercept Estimation in Nonlinear Selection Models," IZA Discussion Papers 14364, Institute of Labor Economics (IZA).

  37. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2013. "Nonparametric estimation of finite mixtures," SciencePo Working papers Main hal-00972868, HAL.

    Cited by:

    1. Marc Henry & Koen Jochmans & Bernard Salanié, 2014. "Inference on Mixtures Under Tail Restrictions," SciencePo Working papers Main hal-01053810, HAL.
    2. Brodaty, Thomas & Gary-Bobo, Robert J. & Prieto, Ana, 2014. "Do risk aversion and wages explain educational choices?," Journal of Public Economics, Elsevier, vol. 117(C), pages 125-148.
    3. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Nonparametric spectral-based estimation of latent structures," CeMMAP working papers CWP18/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  38. Geert Dhaene & Koen Jochmans, 2013. "Likelihood inference in an Autoregression with fixed effects," SciencePo Working papers hal-01070434, HAL.

    Cited by:

    1. 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.
    2. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    3. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 88623, University Library of Munich, Germany.
    4. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    5. 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.
    6. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    7. 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.
    8. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    9. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    10. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    11. 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.
    12. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    13. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    14. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers 04/17, Institute for Fiscal Studies.
    15. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    16. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    17. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    18. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2021. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Land Economics, University of Wisconsin Press, vol. 97(4), pages 875-892.
    19. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    20. Bun, Maurice J.G. & Kleibergen, Frank, 2022. "Identification Robust Inference For Moments-Based Analysis Of Linear Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 38(4), pages 689-751, August.
    21. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    22. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.

  39. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2013. "Nonparametric estimation of finite mixtures," SciencePo Working papers hal-00972868, HAL.

    Cited by:

    1. Marc Henry & Koen Jochmans & Bernard Salanié, 2014. "Inference on Mixtures Under Tail Restrictions," SciencePo Working papers Main hal-01053810, HAL.
    2. Brodaty, Thomas & Gary-Bobo, Robert J. & Prieto, Ana, 2014. "Do risk aversion and wages explain educational choices?," Journal of Public Economics, Elsevier, vol. 117(C), pages 125-148.
    3. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Nonparametric spectral-based estimation of latent structures," CeMMAP working papers CWP18/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  40. Koen Jochmans, 2013. "Pairwise-comparison estimation with non-parametric controls," Post-Print hal-03399882, HAL.

    Cited by:

    1. Koen Jochmans, 2015. "Multiplicative-error models with sample selection," SciencePo Working papers Main hal-03392990, HAL.
    2. Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020. "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers 14008, Institute of Labor Economics (IZA).
    3. Juan Carlos Escanciano & Joel Robert Terschuur, 2022. "Machine Learning Inference on Inequality of Opportunity," Papers 2206.05235, arXiv.org, revised Oct 2023.

  41. Koen Jochmans, 2012. "The variance of a rank estimator of transformation models," Post-Print hal-03399550, HAL.

    Cited by:

    1. Koen Jochmans, 2013. "Pairwise-comparison estimation with non-parametric controls," SciencePo Working papers Main hal-03399882, HAL.
    2. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Arkadiusz Szydlowski, 2017. "Testing a parametric transformation model versus a nonparametric alternative," Discussion Papers in Economics 17/15, Division of Economics, School of Business, University of Leicester.

  42. Koen Jochmans, 2011. "The variance of a rank estimator of transformation models," SciencePo Working papers Main hal-00973007, HAL.

    Cited by:

    1. Koen Jochmans, 2013. "Pairwise-comparison estimation with non-parametric controls," SciencePo Working papers Main hal-03399882, HAL.
    2. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Arkadiusz Szydlowski, 2017. "Testing a parametric transformation model versus a nonparametric alternative," Discussion Papers in Economics 17/15, Division of Economics, School of Business, University of Leicester.

  43. Geert Dhaene & Koen Jochmans, 2011. "An Adjusted profile likelihood for non-stationary panel data models with fixed effects," SciencePo Working papers Main hal-01073732, HAL.

    Cited by:

    1. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    2. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post Schooling Human Capital Investments and the Life Cycle Variance of Earnings," IZA Discussion Papers 7407, Institute of Labor Economics (IZA).
    3. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    5. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    6. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.

  44. DHAENE, Geert & JOCHMANS, Koen, 2010. "Split-panel jackknife estimation of fixed-effect models," LIDAM Discussion Papers CORE 2010003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Xiao, Jiaqi & Juodis, Arturas & Karavias, Yiannis & Sarafidis, Vasilis & Ditzen, Jan, 2022. "Improved Tests for Granger Non-Causality in Panel Data," MPRA Paper 114231, University Library of Munich, Germany.
    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. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. de Groot, Oliver & Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Nikalexi, Katerina, 2020. "Monetary policy and regional inequality," Working Paper Series 2385, European Central Bank.
    5. Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
    6. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    7. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    8. Ghazala Aziz & Suleman Sarwar, 2023. "Empirical Evidence of Environmental Technologies, Renewable Energy and Tourism to Minimize the Environmental Damages: Implication of Advanced Panel Analysis," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    9. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    10. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    11. Marwa Elsherif, 2024. "Nexus between Blue Economy, Renewable Energy and Environmental Sustainability in the MENA Region: Evidence from Panel Threshold Regression," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 169-185, July.
    12. 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.
    13. Alexander Chudik & M. Hashem Pesaran, 2018. "Mean Group Estimation in Presence of Weakly Cross-Correlated Estimators," Globalization Institute Working Papers 349, Federal Reserve Bank of Dallas.
    14. 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.
    15. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    16. Ryo Okui, 2017. "Misspecification in Dynamic Panel Data Models and Model-Free Inferences," The Japanese Economic Review, Springer, vol. 68(3), pages 283-304, September.
    17. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    18. 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.
    19. 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.
    20. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    21. Chengwang Liao & Ziwei Mei & Zhentao Shi, 2024. "Nickell Meets Stambaugh: A Tale of Two Biases in Panel Predictive Regressions," Papers 2410.09825, arXiv.org.
    22. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    23. Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
    24. Jochmans, Koen & Weidner, Martin, 2021. "Inference On A Distribution From Noisy Draws," TSE Working Papers 21-1275, Toulouse School of Economics (TSE).
    25. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    26. Okumus, İlyas & Guzel, Arif Eser & Destek, Mehmet Akif, 2021. "Renewable, Non-renewable Energy Consumption and Economic Growth Nexus in G7: Fresh Evidence from CS-ARDL," MPRA Paper 114136, University Library of Munich, Germany.
    27. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    28. W. Robert Reed & Min Zhu, 2015. "On Estimating Long-Run Effects in Models with Lagged Dependent Variables," Working Papers in Economics 15/18, University of Canterbury, Department of Economics and Finance.
    29. Abida Naurin & Panayiotis M. Pourpourides, 2023. "On the causality between household and government spending on education: evidence from a panel of 40 countries," Empirical Economics, Springer, vol. 65(2), pages 567-585, August.
    30. Wang, Wuyi & Su, Liangjun, 2017. "Identifying Latent Group Structures in Nonlinear Panels," Economics and Statistics Working Papers 19-2017, Singapore Management University, School of Economics.
    31. 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.
    32. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    33. Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
    34. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    35. 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.
    36. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    37. Vasco Gabriel, 2021. "Institutional Arrangements and Inflation Bias: A Dynamic Heterogeneous Panel Approach," Working Papers w202106, Banco de Portugal, Economics and Research Department.
    38. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    39. 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.
    40. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    41. Francesco Fallucchi & Andrea Mercatanti & Jan Niederreiter, 2021. "Identifying types in contest experiments," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(1), pages 39-61, March.
    42. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    43. Nwani, Chinazaekpere & Usman, Ojonugwa & Okere, Kingsley Ikechukwu & Bekun, Festus Victor, 2023. "Technological pathways to decarbonisation and the role of renewable energy: A study of European countries using consumption-based metrics," Resources Policy, Elsevier, vol. 83(C).
    44. Sun, Yixiao & Kim, Min Seong, 2009. "k-step Bootstrap Bias Correction for Fixed Effects Estimators in Nonlinear Panel Models," University of California at San Diego, Economics Working Paper Series qt9gn6n5mr, Department of Economics, UC San Diego.
    45. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    46. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2021. "Financial Development, Reforms and Growth," Bank of Lithuania Working Paper Series 98, Bank of Lithuania.
    47. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    48. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    49. Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner, 2016. "probitfe and logitfe: Bias corrections for probit and logit models with two-way fixed effects," Papers 1610.07714, arXiv.org, revised Feb 2017.
    50. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    51. Wen, Jun & Mughal, Nafeesa & Kashif, Maryam & Jain, Vipin & Ramos Meza, Carlos Samuel & Cong, Phan The, 2022. "Volatility in natural resources prices and economic performance: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 75(C).
    52. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    53. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    54. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    55. 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.
    56. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    57. Bartolucci, Francesco & Pigini, Claudia, 2019. "Partial effects estimation for fixed-effects logit panel data models," MPRA Paper 92243, University Library of Munich, Germany.
    58. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    59. 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.
    60. 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.
    61. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    62. Jochmans, Koen, 2024. "Modified-likelihood estimation of fixed-effect models for dyadic data," TSE Working Papers 24-1502, Toulouse School of Economics (TSE).
    63. Talan, Amogh & Rao, Amar & Sharma, Gagan Deep & Apostu, Simona-Andreea & Abbas, Shujaat, 2023. "Transition towards clean energy consumption in G7: Can financial sector, ICT and democracy help?," Resources Policy, Elsevier, vol. 82(C).
    64. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    65. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    66. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    67. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    68. 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.
    69. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
    70. Paulo M.M. Rodrigues & Pedro Portugal & Anabela Carneiro, 2021. "The persistence of wages," Working Papers w202112, Banco de Portugal, Economics and Research Department.
    71. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
    72. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    73. Giulia Bettin & Claudia Pigini & Alberto Zazzaro, 2020. "Financial inclusion and poverty transitions: an empirical analysis for Italy," Mo.Fi.R. Working Papers 164, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    74. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
    75. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    76. Hordofa, Tolassa Temesgen & Liying, Song & Mughal, Nafeesa & Arif, Asma & Minh Vu, Hieu & Kaur, Prabjot, 2022. "Natural resources rents and economic performance: Post-COVID-19 era for G7 countries," Resources Policy, Elsevier, vol. 75(C).
    77. Oconnor, Christopher, 2023. "Robust estimates of vulnerability to poverty using quantile models," Economic Modelling, Elsevier, vol. 123(C).
    78. Bajo-Rubio, Oscar & Ramos-Herrera, María del Carmen, 2023. "Does international trade promote economic growth? Europe, 19th and 20th centuries," GLO Discussion Paper Series 1358, Global Labor Organization (GLO).
    79. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina & Prümer, Stephanie, 2022. "Understanding the public-private sector wage gap in Germany: New evidence from a Fixed Effects quantile Approach∗," Economic Modelling, Elsevier, vol. 116(C).
    80. 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.
    81. Michael Haylock, 2022. "Distributional differences in the time horizon of executive compensation," Empirical Economics, Springer, vol. 62(1), pages 157-186, January.
    82. 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.
    83. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    84. Liang Chen & Minyuan Zhang, 2023. "Common Correlated Effects Estimation of Nonlinear Panel Data Models," Papers 2304.13199, arXiv.org.
    85. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    86. Raf Van Gestel & Tobias Mueller & Johan Bosmans, 2018. "Learning from failure in healthcare: Dynamic panel evidence of a physician shock effect," Diskussionsschriften dp1809, Universitaet Bern, Departement Volkswirtschaft.
    87. Ziwei Mei & Liugang Sheng & Zhentao Shi, 2023. "Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You Think," Papers 2302.13455, arXiv.org, revised Oct 2023.
    88. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina & Prümer, Stephanie, 2021. "Does it pay to go public? Understanding the public-private sector wage gap in Germany," Discussion Papers 116, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    89. Ntarmah, Albert Henry & Kong, Yusheng & Cobbinah, Eric & Gyan, Micheal Kobina & Manu, Emmanuel Kwaku, 2020. "Analysis of the Responsiveness of Environmental Sustainability to Non-Performing Loans in Africa," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 27(2).
    90. Simar, Léopold & Zelenyuk, Valentin, 2020. "Improving finite sample approximation by central limit theorems for estimates from Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1002-1015.
    91. Grigory Franguridi & Bulat Gafarov & Kaspar Wüthrich, 2021. "Conditional Quantile Estimators: A Small Sample Theory," CESifo Working Paper Series 9046, CESifo.
    92. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2013. "Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income," IZA Discussion Papers 7651, Institute of Labor Economics (IZA).
    93. Arturas Juodis & Yiannis Karavias, 2019. "Partially heterogeneous tests for Granger non-causality in panel data," Bank of Lithuania Working Paper Series 59, Bank of Lithuania.
    94. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    95. You, Wanhai & Zhang, Yue & Lee, Chien-Chiang, 2022. "The dynamic impact of economic growth and economic complexity on CO2 emissions: An advanced panel data estimation," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 112-128.
    96. Bo E. Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," CeMMAP working papers CWP14/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    97. Blazsek, Szabolcs, 2012. "Patents, secret innovations and firm's rate of return : differential effects of the innovation leader," UC3M Working papers. Economics we1202, Universidad Carlos III de Madrid. Departamento de Economía.
    98. 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.
    99. Besstremyannaya, Galina & Golovan, Sergei, 2021. "Measuring heterogeneity with fixed effect quantile regression: Long panels and short panels," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 70-82.
    100. Ramon Cobo-Reyes & Gabriel Katz & Simone Meraglia, 2017. "Endogenous Sanctioning Institutions and Migration Patterns: Experimental Evidence," Discussion Papers 1702, University of Exeter, Department of Economics.
    101. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2019. "Predicting fixed effects in panel probit models," Monash Economics Working Papers 10-19, Monash University, Department of Economics.
    102. Xie, Bofeng & Rehman, Mubeen Abdur & Zhang, Junyan & Yang, Runze, 2022. "Does the financialization of natural resources lead toward sustainability? An application of advance panel Granger non-causality," Resources Policy, Elsevier, vol. 79(C).
    103. Sasaki, Shusaku, 2019. "Majority size and conformity behavior in charitable giving: Field evidence from a donation-based crowdfunding platform in Japan," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 36-51.
    104. St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
    105. Bednarek, Peter & Dinger, Valeriya & Schultz, Alison & von Westernhagen, Natalja, 2023. "Banks of a feather: The informational advantage of being alike," Discussion Papers 09/2023, Deutsche Bundesbank.
    106. Li, Kunpeng, 2018. "Spatial panel data models with structural change," MPRA Paper 85388, University Library of Munich, Germany.
    107. 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.
    108. João Martins & Linda Veiga & Bruno Fernandes, 2021. "Does electronic government deter corruption? Evidence from across the world," NIPE Working Papers 02/2021, NIPE - Universidade do Minho.
    109. 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.
    110. Bel, Germà & Joseph, Stephan, 2018. "Policy stringency under the European Union Emission trading system and its impact on technological change in the energy sector," Energy Policy, Elsevier, vol. 117(C), pages 434-444.
    111. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.
    112. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    113. Bargain, Olivier & Etienne, Audrey & Melly, Blaise, 2021. "Informal pay gaps in good and bad times: Evidence from Russia," Journal of Comparative Economics, Elsevier, vol. 49(3), pages 693-714.
    114. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    115. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    116. Alessandra Casarico & Paola Profeta & Chiara Pronzato, 2012. "On the local labor market determinants of female university enrolment in European regions," Carlo Alberto Notebooks 278, Collegio Carlo Alberto.
    117. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    118. Liang, Huijun & Shi, Changkuan & Abid, Nabila & Yu, Yanliang, 2023. "Are digitalization and human development discarding the resource curse in emerging economies?," Resources Policy, Elsevier, vol. 85(PB).
    119. Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Renault, Théodore, 2022. "Risk sharing and monetary policy transmission," Working Paper Series 2746, European Central Bank.
    120. 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.
    121. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    122. Golovan, Sergei & Volchkova, Natalya, 2022. "How costly is exporting? An empirical assessment of trade model with heterogeneous firms," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 93-116.
    123. Godøy, Anna & Huitfeldt, Ingrid, 2020. "Regional variation in health care utilization and mortality," Journal of Health Economics, Elsevier, vol. 71(C).
    124. Asif Tariq & Aadil Amin & Masroor Ahmad, 2024. "Deciphering the non-linear nexus between government size and inflation in MENA countries: an application of dynamic-panel threshold model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-20, December.
    125. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    126. Song, Jia & Cheng, Terence C., 2020. "How do gender differences in family responsibilities affect doctors' labour supply? Evidence from Australian panel data," Social Science & Medicine, Elsevier, vol. 265(C).
    127. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    128. 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.
    129. 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.
    130. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," SciencePo Working papers Main hal-04067326, HAL.
    131. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    132. Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang, 2024. "Arellano-bond lasso estimator for dynamic linear panel models," CeMMAP working papers 09/24, Institute for Fiscal Studies.
    133. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
    134. Riccardo Lucchetti & Claudia Pigini, 2018. "Dynamic panel probit: finite-sample performance of alternative random-effects estimators," Working Papers 426, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    135. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    136. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
    137. Hahn, Jinyong & Liu, Xueyuan, 2022. "Jackknife bias reduction for simulated maximum likelihood estimator of discrete choice models," Economics Letters, Elsevier, vol. 219(C).
    138. Rabe, Collin & Waddle, Andrea, 2020. "The evolution of purchasing power parity," Journal of International Money and Finance, Elsevier, vol. 109(C).
    139. Sharon Traiberman, 2019. "Occupations and Import Competition: Evidence from Denmark," American Economic Review, American Economic Association, vol. 109(12), pages 4260-4301, December.
    140. Rehman, Mubeen Abdur, 2024. "How has FinTech become a solution for minerals management?," Resources Policy, Elsevier, vol. 92(C).
    141. Livio Di Matteo & Robert Petrunia, 2022. "Does economic inequality breed murder? An empirical investigation of the relationship between economic inequality and homicide rates in Canadian provinces and CMAs," Empirical Economics, Springer, vol. 62(6), pages 2951-2988, June.
    142. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    143. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    144. Van Gestel, R.; Müller, T.; Bosmans, J.;, 2017. "Learning from failure in healthcare: dynamic panel evidence of a physician shock effect," Health, Econometrics and Data Group (HEDG) Working Papers 17/24, HEDG, c/o Department of Economics, University of York.
    145. 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.
    146. Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
    147. 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.
    148. Buchmueller, Thomas C. & Cheng, Terence C. & Pham, Ngoc T.A. & Staub, Kevin E., 2021. "The effect of income-based mandates on the demand for private hospital insurance and its dynamics," Journal of Health Economics, Elsevier, vol. 75(C).
    149. 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.
    150. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    151. Lu, Xun & Su, Liangjun, 2020. "Determining individual or time effects in panel data models," Journal of Econometrics, Elsevier, vol. 215(1), pages 60-83.
    152. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).
    153. Xin Liu & Wei-Guo Wang & Hai-Jun Liu, 2016. "The Efficiency of Split Panel Designs in an Analysis of Variance Model," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-20, May.
    154. Kim, Jounghyeon, 2023. "Does population aging matter for remittances in developing countries?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1038-1056.
    155. 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.
    156. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.
    157. Hugo Kruiniger, 2021. "Root-n-consistent Conditional ML estimation of dynamic panel logit models with fixed effects," Papers 2103.04973, arXiv.org, revised Apr 2021.
    158. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
    159. Riccardo (Jack) Lucchetti & Claudia Pigini, 2020. "Choice of solutions to the initial-conditions problem in dynamic panel probit models," Working Papers 2020:27, Department of Economics, University of Venice "Ca' Foscari".

Articles

  1. Jochmans, Koen & Weidner, Martin, 2024. "Inference On A Distribution From Noisy Draws," Econometric Theory, Cambridge University Press, vol. 40(1), pages 60-97, February.
    See citations under working paper version above.
  2. Higgins, Ayden & Jochmans, Koen, 2023. "Identification of mixtures of dynamic discrete choices," Journal of Econometrics, Elsevier, vol. 237(1).
    See citations under working paper version above.
  3. Jochmans, Koen, 2023. "Peer effects and endogenous social interactions," Journal of Econometrics, Elsevier, vol. 235(2), pages 1203-1214.
    See citations under working paper version above.
  4. Koen Jochmans, 2023. "Testing random assignment to peer groups," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 321-333, April.
    See citations under working paper version above.
  5. Koen Jochmans, 2023. "Modified-likelihood estimation of fixed-effect models for dyadic data," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(3), pages 417-433, December.
    See citations under working paper version above.
  6. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental‐variable estimation of exponential‐regression models with two‐way fixed effects with an application to gravity equations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1121-1137, September.
    See citations under working paper version above.
  7. Koen Jochmans, 2022. "Heteroscedasticity-Robust Inference in Linear Regression Models With Many Covariates," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(538), pages 887-896, April.
    See citations under working paper version above.
  8. Jochmans, Koen, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Economics Letters, Elsevier, vol. 212(C).
    See citations under working paper version above.
  9. Koen Jochmans & Vincenzo Verardi, 2020. "Fitting exponential regression models with two-way fixed effects," Stata Journal, StataCorp LP, vol. 20(2), pages 468-480, June.

    Cited by:

    1. Lockwood, Ben & Porcelli, Francesco & Redoano, Michela & Schiavone, Antonio, 2022. "Yardstick Competition in the Digital Age : Unveiling New Networks in Tax Competition," The Warwick Economics Research Paper Series (TWERPS) 1438, University of Warwick, Department of Economics.
    2. Eduardo Rodrigues Sanguinet & Augusto Mussi Alvim & Miguel Atienza, 2022. "Trade agreements and participation in global value chains: Empirical evidence from Latin America," The World Economy, Wiley Blackwell, vol. 45(3), pages 702-738, March.

  10. Jochmans, Koen, 2020. "A Portmanteau Test For Correlation In Short Panels," Econometric Theory, Cambridge University Press, vol. 36(6), pages 1159-1166, December.
    See citations under working paper version above.
  11. Koen Jochmans, 2020. "Testing for correlation in error‐component models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 860-878, November.
    See citations under working paper version above.
  12. Koen Jochmans & Vincenzo Verardi, 2020. "A portmanteau test for serial correlation in a linear panel model," Stata Journal, StataCorp LP, vol. 20(1), pages 149-161, March.

    Cited by:

    1. Croutzet, Alexandre & Dabbous, Amal, 2021. "Do FinTech trigger renewable energy use? Evidence from OECD countries," Renewable Energy, Elsevier, vol. 179(C), pages 1608-1617.
    2. Sonja Đuričin & Isidora Beraha & Olivera Jovanović & Marija Mosurović Ružičić & Marija Lazarević-Moravčević & Mihailo Paunović, 2022. "The Efficiency of National Innovation Policy Programs: The Case of Serbia," Sustainability, MDPI, vol. 14(14), pages 1-14, July.

  13. Koen Jochmans & Martin Weidner, 2019. "Fixed‐Effect Regressions on Network Data," Econometrica, Econometric Society, vol. 87(5), pages 1543-1560, September.
    See citations under working paper version above.
  14. Koen Jochmans & Taisuke Otsu, 2019. "Likelihood Corrections for Two-way Models," Annals of Economics and Statistics, GENES, issue 134, pages 227-242.
    See citations under working paper version above.
  15. Koen Jochmans, 2018. "Semiparametric Analysis of Network Formation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 705-713, October.
    See citations under working paper version above.
  16. Bonhomme, Stéphane & Jochmans, Koen & Robin, Jean-Marc, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," Journal of Econometrics, Elsevier, vol. 201(2), pages 237-248.
    See citations under working paper version above.
  17. Jochmans, Koen & Henry, Marc & Salanié, Bernard, 2017. "Inference On Two-Component Mixtures Under Tail Restrictions," Econometric Theory, Cambridge University Press, vol. 33(3), pages 610-635, June.
    See citations under working paper version above.
  18. Koen Jochmans, 2017. "Two-Way Models for Gravity," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 478-485, July.
    See citations under working paper version above.
  19. Dhaene, Geert & Jochmans, Koen, 2016. "Bias-corrected estimation of panel vector autoregressions," Economics Letters, Elsevier, vol. 145(C), pages 98-103.
    See citations under working paper version above.
  20. Dhaene, Geert & Jochmans, Koen, 2016. "Likelihood Inference In An Autoregression With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1178-1215, October.
    See citations under working paper version above.
  21. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2016. "Non-parametric estimation of finite mixtures from repeated measurements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 211-229, January.
    See citations under working paper version above.
  22. Jochmans, Koen, 2015. "Multiplicative-error models with sample selection," Journal of Econometrics, Elsevier, vol. 184(2), pages 315-327.
    See citations under working paper version above.
  23. Geert Dhaene & Koen Jochmans, 2015. "Split-panel Jackknife Estimation of Fixed-effect Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 991-1030.
    See citations under working paper version above.
  24. Koen Jochmans, 2013. "Pairwise‐comparison estimation with non‐parametric controls," Econometrics Journal, Royal Economic Society, vol. 16(3), pages 340-372, October.
    See citations under working paper version above.
  25. Jochmans, Koen, 2012. "The variance of a rank estimator of transformation models," Economics Letters, Elsevier, vol. 117(1), pages 168-169.
    See citations under working paper version above.

Software components

    Sorry, no citations of software components recorded.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.