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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. Koen Jochmans, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Post-Print hal-04672521, HAL.

    Cited by:

    1. Diegert, Paul & Jochmans, Koen, 2024. "Nonparametric Identification of Models for Dyadic Data”," TSE Working Papers 24-1574, Toulouse School of Economics (TSE).
    2. Yan Xu & Bo Zhou, 2025. "Batched Adaptive Network Formation," Papers 2507.18961, arXiv.org.

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

    Cited by:

    1. Koen Jochmans, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Post-Print hal-04672521, HAL.
    2. Ertian Chen, 2025. "Robust Structural Estimation under Misspecified Latent-State Dynamics," Papers 2510.22347, arXiv.org, revised Nov 2025.
    3. Jochmans, Koen & Higgins, Ayden, 2022. "Learning Markov Processes with Latent Variables," TSE Working Papers 22-1366, Toulouse School of Economics (TSE).

  3. 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).

  4. 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.
    2. Johannes Gessner, 2025. "Shifting Gears: Environmental Regulation in the Car Industry and Technological Change Among Suppliers," CRC TR 224 Discussion Paper Series crctr224_2025_654, University of Bonn and University of Mannheim, Germany.

  5. 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. Pigini, Claudia & Pionati, Alessandro & Valentini, Francesco, 2023. "Specification testing with grouped fixed effects," MPRA Paper 117821, University Library of Munich, Germany.
    3. Ayden Higgins & Koen Jochmans, 2025. "Inference in dynamic models for panel data using the moving block bootstrap," Papers 2502.08311, arXiv.org.
    4. 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.
    5. Kevin Dano & Bo E. Honor'e & Martin Weidner, 2025. "Binary choice logit models with general fixed effects for panel and network data," Papers 2508.11556, arXiv.org.
    6. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).

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

    Cited by:

    1. Yuichi Kitamura & Louise Laage, 2018. "Nonparametric Analysis of Finite Mixtures," Papers 1811.02727, arXiv.org.
    2. Schennach, Susanne M., 2020. "Mismeasured and unobserved variables," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 487-565, Elsevier.
    3. Kedagni, Desire, 2018. "Identifying Treatment Effects in the Presence of Confounded Types," ISU General Staff Papers 201809110700001056, Iowa State University, Department of Economics.

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

    Cited by:

    1. 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.
    2. Pedro Carneiro & Yyannú Cruz-Aguayo & Francesca Salvati & Norbert Schady, 2023. "The effect of classroom rank on learning throughout elementary school: experimental evidence from Ecuador," IFS Working Papers WCWP19/23, Institute for Fiscal Studies.
    3. Contreras Silva, Valentina & Orsini, Chiara & Özcan, Berkay & Koehler, Johann, 2025. "Effects of team diversity on individual performance and voice: a field experiment of group composition by gender and language," LSE Research Online Documents on Economics 128788, London School of Economics and Political Science, LSE Library.
    4. Jonas Radbruch & Amelie Schiprowski, 2024. "Interview Sequences and the Formation of Subjective Assessments," CESifo Working Paper Series 10957, CESifo.
    5. Contreras, Valentina & Orsini, Chiara & Özcan, Berkay & Koehler, Johann, 2025. "Effects of Team Diversity on Individual Performance and Voice: A Field Experiment of Group Composition by Gender and Language," IZA Discussion Papers 18145, Institute of Labor Economics (IZA).
    6. Max Coveney & Pilar Garcia-Gomez & Teresa Marreiros Bago d'Uva, 2025. "Gender and Performance in Collaboration: Evidence from Random Student Teams," Tinbergen Institute Discussion Papers 25-032/V, Tinbergen Institute.
    7. Menaka Hampole & Francesca Truffa & Ashley Wong, 2024. "Peer Effects and the Gender Gap in Corporate Leadership: Evidence from MBA Students," CESifo Working Paper Series 11295, CESifo.

  8. 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 & Cristelle Kouame & Michael Vlassopoulos, 2024. "Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students," Papers 2405.06850, arXiv.org, revised Jan 2026.
    3. Camilo Garcia-Jimeno & Sahar Parsa, 2024. "Cultural Change Through Writing Style: Gendered Pronoun Use in the Economics Profession," Working Paper Series WP 2024-23, Federal Reserve Bank of Chicago.
    4. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    5. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).
    6. Comola, Margherita & Dieye, Rokhaya & Fortin, Bernard, 2025. "Heterogeneous peer effects and gender-based interventions for teenage obesity," Journal of Health Economics, Elsevier, vol. 102(C).
    7. Aristide Houndetoungan, 2024. "Count Data Models with Heterogeneous Peer Effects under Rational Expectations," Papers 2405.17290, arXiv.org, revised Feb 2026.
    8. Diemer, Andreas, 2022. "Endogenous peer effects in diverse friendship networks: Evidence from Swedish classrooms," Economics of Education Review, Elsevier, vol. 89(C).
    9. Tadao Hoshino, 2023. "Causal Interpretation of Linear Social Interaction Models with Endogenous Networks," Papers 2308.04276, arXiv.org, revised Oct 2023.

  9. 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. Jiang, Liang & Li, Liyao & Miao, Ke & Zhang, Yichong, 2025. "Adjustments with many regressors under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 249(PB).
    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. T. Tony Cai & Zijian Guo & Yin Xia, 2023. "Rejoinder on: statistical inference and large-scale multiple testing for high-dimensional regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(4), pages 1187-1194, December.
    6. Ng Cheuk Fai, 2022. "Robust Inference in High Dimensional Linear Model with Cluster Dependence," Papers 2212.05554, arXiv.org.
    7. 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).
    8. 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. Seyed Morteza Moghimi & Thomas Aaron Gulliver & Ilamparithi Thirumarai Chelvan & Hossen Teimoorinia, 2024. "Load Optimization for Connected Modern Buildings Using Deep Hybrid Machine Learning in Island Mode," Energies, MDPI, vol. 17(24), pages 1-25, December.

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

    Cited by:

    1. Stanislav Anatolyev & Mikkel S{o}lvsten, 2020. "Testing Many Restrictions Under Heteroskedasticity," Papers 2003.07320, arXiv.org, revised Jan 2023.

  13. 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).
    2. Khanna, Rupika & Sharma, Chandan, 2024. "Beyond information technology and productivity paradox: Analysing the channels of impact at the firm-level," Technological Forecasting and Social Change, Elsevier, vol. 203(C).

  14. Jochmans, K., 2019. "Testing Correlation in Error-Component Models," Cambridge Working Papers in Economics 1993, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Khanna, Rupika & Sharma, Chandan, 2024. "Beyond information technology and productivity paradox: Analysing the channels of impact at the firm-level," Technological Forecasting and Social Change, Elsevier, vol. 203(C).

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

    Cited by:

    1. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    2. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    3. Gobillon, Laurent & Magnac, Thierry & Roux, Sébastien, 2025. "Lifecycle Wages and Human Capital Investments: Selection and Missing Data," IZA Discussion Papers 17838, Institute of Labor Economics (IZA).
    4. Kutta, Tim & Dette, Holger, 2024. "Validating approximate slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 246(1).
    5. Stéphane Bonhomme & Martin Weidner, 2019. "Posterior average effects," CeMMAP working papers CWP43/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Magnac, Thierry & Roux, Sébastien, 2021. "Heterogeneity and wage inequalities over the life cycle," European Economic Review, Elsevier, vol. 134(C).
    7. Barras, Laurent & Scaillet, Olivier & Gagliardini, Patrick, 2021. "Skill, scale, and value creation in the mutual fund industry," Working Papers unige:150822, University of Geneva, Geneva School of Economics and Management.

  16. 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. Sinha, Apra & Sedai, Ashish Kumar, 2025. "National river conservation plan and water pollutants in India," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 2192-2206.
    2. 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.
    3. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).
    4. 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.

  17. 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. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit," MPRA Paper 110034, University Library of Munich, Germany.
    2. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Jan 2026.

  18. 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. Jules Hugot & Camilo Umana Dajud, 2016. "Trade costs and the Suez and Panama Canals," Working Papers 2016-29, CEPII research center.
    4. 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).
    5. 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.
    6. Federico Crippa, 2025. "Identification, Estimation, and Inference in Two-Sided Interaction Models," Papers 2510.22884, arXiv.org.
    7. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    8. 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.
    9. Giorgio Fagiolo & Tommaso Rughi, 2023. "Exploring the Macroeconomic Drivers of International Bilateral Remittance Flows: A Gravity-Model Approach," Economies, MDPI, vol. 11(7), pages 1-27, July.
    10. 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.
    11. Ohyun Kwon & Jangsu Yoon & Yoto V. Yotov, 2022. "A Generalized Poisson-Pseudo Maximum Likelihood Estimator," CESifo Working Paper Series 10145, CESifo.
    12. Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
    13. 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.
    14. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    15. Martin,William J., 2020. "Making Gravity Great Again," Policy Research Working Paper Series 9391, The World Bank.
    16. Camilo Umana Dajud, 2016. "Do Visas Hinder International Trade in Goods?," Working Papers 2016-30, CEPII research center.
    17. 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. 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.
    19. 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.
    20. 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.
    21. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2024. "Teaching advanced topics in econometrics using introductory textbooks: The case of dynamic panel data methods," International Review of Economics Education, Elsevier, vol. 47(C).
    22. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Container Trade Disruptions and U.S. Agricultural Exports," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322364, Agricultural and Applied Economics Association.
    23. Kevin Dano & Bo E. Honor'e & Martin Weidner, 2025. "Binary choice logit models with general fixed effects for panel and network data," Papers 2508.11556, arXiv.org.
    24. Mario Larch & Yoto V. Yotov, 2023. "Estimating the Effects of Trade Agreements: Lessons from 60 Years of Methods and Data," CESifo Working Paper Series 10267, CESifo.
    25. Choi Nakgyoon, 2018. "Economic Effects of Anti-Dumping Duties: Protectionist Measures or Trade Remedies?," Working Papers id:12447, eSocialSciences.
    26. Mugnier, Martin, 2025. "A simple and computationally trivial estimator for grouped fixed effects models," Journal of Econometrics, Elsevier, vol. 250(C).
    27. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    28. Pfaffermayr, Michael, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, Elsevier, vol. 161(C), pages 188-198.

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

    Cited by:

    1. 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.
    2. Koen Jochmans, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Post-Print hal-04672521, HAL.
    3. Oliver Cassagneau-Francis, 2022. "Essays on skills and education [Essais sur les compétences et l'éducation]," Sciences Po Economics Publications (main) tel-03857494, HAL.
    4. Martin Garcia-Vazquez, 2021. "Identification and Estimation of Non-stationary Hidden Markov Models," Working Papers 2021-023, Human Capital and Economic Opportunity Working Group.

  20. Koen Jochmans, 2017. "Two-Way Models for Gravity," Sciences Po Economics Publications (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. Jules Hugot & Camilo Umana Dajud, 2016. "Trade costs and the Suez and Panama Canals," Working Papers 2016-29, CEPII research center.
    4. 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).
    5. 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.
    6. Federico Crippa, 2025. "Identification, Estimation, and Inference in Two-Sided Interaction Models," Papers 2510.22884, arXiv.org.
    7. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    8. 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.
    9. Giorgio Fagiolo & Tommaso Rughi, 2023. "Exploring the Macroeconomic Drivers of International Bilateral Remittance Flows: A Gravity-Model Approach," Economies, MDPI, vol. 11(7), pages 1-27, July.
    10. 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.
    11. Ohyun Kwon & Jangsu Yoon & Yoto V. Yotov, 2022. "A Generalized Poisson-Pseudo Maximum Likelihood Estimator," CESifo Working Paper Series 10145, CESifo.
    12. Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
    13. 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.
    14. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    15. Martin,William J., 2020. "Making Gravity Great Again," Policy Research Working Paper Series 9391, The World Bank.
    16. Camilo Umana Dajud, 2016. "Do Visas Hinder International Trade in Goods?," Working Papers 2016-30, CEPII research center.
    17. 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. 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.
    19. 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.
    20. 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.
    21. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2024. "Teaching advanced topics in econometrics using introductory textbooks: The case of dynamic panel data methods," International Review of Economics Education, Elsevier, vol. 47(C).
    22. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Container Trade Disruptions and U.S. Agricultural Exports," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322364, Agricultural and Applied Economics Association.
    23. Kevin Dano & Bo E. Honor'e & Martin Weidner, 2025. "Binary choice logit models with general fixed effects for panel and network data," Papers 2508.11556, arXiv.org.
    24. Mario Larch & Yoto V. Yotov, 2023. "Estimating the Effects of Trade Agreements: Lessons from 60 Years of Methods and Data," CESifo Working Paper Series 10267, CESifo.
    25. Choi Nakgyoon, 2018. "Economic Effects of Anti-Dumping Duties: Protectionist Measures or Trade Remedies?," Working Papers id:12447, eSocialSciences.
    26. Mugnier, Martin, 2025. "A simple and computationally trivial estimator for grouped fixed effects models," Journal of Econometrics, Elsevier, vol. 250(C).
    27. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    28. Pfaffermayr, Michael, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, Elsevier, vol. 161(C), pages 188-198.

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

    Cited by:

    1. Shengnan Cui & Yanqiu Wang & Ping Xu & Liping Li, 2024. "Ecological welfare performance, industrial agglomeration and technological innovation: an empirical study based on Beijing–Tianjin–Hebei, Yangtze River Delta and Pearl River Delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1505-1528, January.
    2. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.
    3. Atsushi Inoue & Òscar Jordà & Guido M. Kuersteiner, 2024. "Inference for Local Projections," Working Paper Series 2024-29, Federal Reserve Bank of San Francisco.
    4. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.

  22. Koen Jochmans, 2016. "Semiparametric Analysis of Network Formation," Sciences Po Economics Publications (main) hal-03393207, 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. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    4. Chris Muris & Cavit Pakel & Qichen Zhang, 2025. "Dyadic data with ordered outcome variables," Papers 2507.16689, arXiv.org.
    5. 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.
    6. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers CWP08/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit," MPRA Paper 110034, University Library of Munich, Germany.
    8. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2025. "Grouped fixed effects regularization for binary choice models," Papers 2502.06446, arXiv.org, revised Nov 2025.
    10. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    11. 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.
    12. Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin, 2024. "Network and panel quantile effects via distribution regression," Journal of Econometrics, Elsevier, vol. 240(2).
    13. 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.
    14. Tadao Hoshino & Daichi Shimamoto & Yasuyuki Todo, 2020. "Accounting for Heterogeneity in Network Formation Behaviour: An Application to Vietnamese SMEs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1042-1067, October.
    15. Graham, Bryan S., 2020. "Network data," Handbook of Econometrics,, Elsevier.
    16. André, Pierre & Dupraz, Yannick, 2019. "Education and Polygamy: Evidence from Cameroon," CAGE Online Working Paper Series 435, Competitive Advantage in the Global Economy (CAGE).
    17. 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.
    18. 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.
    19. 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.
    20. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    21. 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.
    22. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    30. 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.
    31. L. Sanna Stephan, 2024. "Semiparametric Estimation of Individual Coefficients in a Dyadic Link Formation Model Lacking Observable Characteristics," Papers 2408.04552, arXiv.org.
    32. 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.
    33. Chris Muris & Cavit Pakel, 2025. "Triadic Network Formation," Papers 2509.26420, arXiv.org.
    34. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    35. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. David W. Hughes, 2022. "A jackknife bias correction for nonlinear network data models with fixed effects," Papers 2203.15603, arXiv.org, revised Nov 2025.
    37. 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.

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

    Cited by:

    1. Bonhomme, Stéphane & Denis, Angela, 2024. "Estimating heterogeneous effects: Applications to labor economics," Labour Economics, Elsevier, vol. 91(C).
    2. Katarína Borovičková & Robert Shimer, 2017. "High Wage Workers Work for High Wage Firms," NBER Working Papers 24074, National Bureau of Economic Research, Inc.
    3. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Philippe CHONÉ & Lionel WILNER, 2019. "Competition on Unobserved Attributes: The Case of the Hospital Industry," Working Papers 2019-21, Center for Research in Economics and Statistics.
    5. Vanessa Alviarez & Keith Head & Thierry Mayer, 2021. "Global Giants and Local Stars: How Changes in Brand Ownership Affect Competition," Sciences Po Economics Discussion Papers hal-03389199, HAL.
    6. Federico Crippa, 2025. "Identification, Estimation, and Inference in Two-Sided Interaction Models," Papers 2510.22884, arXiv.org.
    7. 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.
    8. 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.
    9. Stéphane Bonhomme & Koen Jochmans & Martin Weidner, 2025. "A neyman-orthogonalization approach to the incidental parameter problem," CeMMAP working papers 05/25, Institute for Fiscal Studies.
    10. Peeters, Thomas & van Ours, Jan C., 2022. "International Assortative Matching in the European Labor Market," IZA Discussion Papers 15521, Institute of Labor Economics (IZA).
    11. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2017. "Discretizing unobserved heterogeneity," IFS Working Papers W17/03, Institute for Fiscal Studies.
    12. Stéphane Bonhomme & Kerstin Holzheu & Thibaut Lamadon & Elena Manresa & Magne Mogstad & Bradley Setzler, 2020. "How Much Should we Trust Estimates of Firm Effects and Worker Sorting?," NBER Working Papers 27368, National Bureau of Economic Research, Inc.
    13. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2018. "Consumption Peer Effects and Utility Needs in India," Boston College Working Papers in Economics 958, Boston College Department of Economics, revised 15 Sep 2021.
    14. Haus, Martin, 2025. "Breaking Out of Low-Effort Traps: Bureaucratic Leadership by Persuasion," SocArXiv 9zx5w_v1, Center for Open Science.
    15. Halvarsson, Daniel & Lark, Olga & Gustavsson Tingvall, Patrik, 2022. "Foreign Ownership and Transferring of Gender Norms," Working Paper Series 1433, Research Institute of Industrial Economics.
    16. Halvarsson, Daniel & Lark, Olga & Gustavsson Tingvall, Patrik, 2022. "Foreign Ownership and Transferring of Gender Norms," Working Papers 2022:6, Lund University, Department of Economics.
    17. Esteves, Rui & Geisler Mesevage, Gabriel, 2019. "Social Networks in Economic History: Opportunities and Challenges," Explorations in Economic History, Elsevier, vol. 74(C).
    18. Michael P. Leung, 2021. "Network Cluster-Robust Inference," Papers 2103.01470, arXiv.org, revised Feb 2023.
    19. Junhui Cai & Dan Yang & Ran Chen & Wu Zhu & Haipeng Shen & Linda Zhao, 2021. "Network regression and supervised centrality estimation," Papers 2111.12921, arXiv.org, revised Feb 2025.
    20. Jochmans, Koen, 2025. "Identification in Models for Matched Panel Data with Two-Sided Random Effects," TSE Working Papers 25-1649, Toulouse School of Economics (TSE), revised Oct 2025.
    21. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    22. Kline, Patrick, 2024. "Firm wage effects," Handbook of Labor Economics,, Elsevier.
    23. Hou, Shihang & Heath Milsom, Luke, 2025. "The Role of Firms and Occupations in Wage Inequality," VfS Annual Conference 2025 (Cologne): Revival of Industrial Policy 325461, Verein für Socialpolitik / German Economic Association.
    24. Kramarz, Francis & Martin, Julien & Mejean, Isabelle, 2020. "Volatility in the small and in the large: The lack of diversification in international trade," Journal of International Economics, Elsevier, vol. 122(C).
    25. Jochmans, K., 2019. "Heteroskedasticity-Robust Inference in Linear Regression Models," Cambridge Working Papers in Economics 1957, Faculty of Economics, University of Cambridge.
    26. Bartanen, Brendan & Husain, Aliza N., 2022. "Connected networks in principal value-added models," Economics of Education Review, Elsevier, vol. 90(C).
    27. Damien Babet & Olivier Godechot & Marco G. Palladino, 2025. "In the Land of AKM: Explaining the Dynamics of Wage Inequality in France," Working papers 987, Banque de France.

  24. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Sciences Po Economics Publications (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. 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.
    3. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," Sciences Po Economics Discussion Papers hal-01070553, HAL.
    4. Stéphane Bonhomme & Koen Jochmans & Martin Weidner, 2025. "A neyman-orthogonalization approach to the incidental parameter problem," CeMMAP working papers 05/25, Institute for Fiscal Studies.
    5. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    6. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    7. 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.
    8. 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.
    9. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    10. 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.
    11. Jochmans, Koen & Higgins, Ayden, 2022. "Bootstrap inference for fixed-effect models," TSE Working Papers 22-1328, Toulouse School of Economics (TSE), revised Dec 2023.
    12. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    13. Maurice J. G. Bun & Frank Kleibergen, 2021. "Identification robust inference for moments based analysis of linear dynamic panel data models," Papers 2105.08346, arXiv.org.
    14. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2020. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Center for Agricultural and Rural Development (CARD) Publications 20-wp612, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    15. 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.
    16. 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.
    17. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    18. 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.
    19. 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.
    20. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    21. Hugo Kruiniger, 2025. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," Papers 2508.20753, arXiv.org, revised Jan 2026.
    22. Alexander Chudik & Cameron M. Ellis & Johannes G. Jaspersen, 2025. "Lags, Leave-Outs and Fixed Effects," Working Papers 2536, Federal Reserve Bank of Dallas.
    23. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    24. 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.

  25. Koen Jochmans, 2016. "Semiparametric Analysis of Network Formation," Sciences Po Economics Discussion Papers hal-03393207, 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. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    4. Chris Muris & Cavit Pakel & Qichen Zhang, 2025. "Dyadic data with ordered outcome variables," Papers 2507.16689, arXiv.org.
    5. Dzemski, Andreas, 2017. "An empirical model of dyadic link formation in a network with unobserved heterogeneity," Working Papers in Economics 698, University of Gothenburg, Department of Economics, revised Apr 2018.
    6. 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.
    7. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers CWP08/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit," MPRA Paper 110034, University Library of Munich, Germany.
    9. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2025. "Grouped fixed effects regularization for binary choice models," Papers 2502.06446, arXiv.org, revised Nov 2025.
    11. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    12. 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.
    13. Ida Johnsson & Hyungsik Roger Moon, 2017. "Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach," Papers 1709.10024, arXiv.org, revised Jul 2019.
    14. Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin, 2024. "Network and panel quantile effects via distribution regression," Journal of Econometrics, Elsevier, vol. 240(2).
    15. Wayne Yuan Gao, 2017. "Nonparametric Identification in Index Models of Link Formation," Papers 1710.11230, arXiv.org, revised May 2018.
    16. 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.
    17. Tadao Hoshino & Daichi Shimamoto & Yasuyuki Todo, 2020. "Accounting for Heterogeneity in Network Formation Behaviour: An Application to Vietnamese SMEs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1042-1067, October.
    18. Graham, Bryan S., 2020. "Network data," Handbook of Econometrics,, Elsevier.
    19. André, Pierre & Dupraz, Yannick, 2019. "Education and Polygamy: Evidence from Cameroon," CAGE Online Working Paper Series 435, Competitive Advantage in the Global Economy (CAGE).
    20. 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.
    21. 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.
    22. 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.
    23. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    24. 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.
    25. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    33. 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.
    34. L. Sanna Stephan, 2024. "Semiparametric Estimation of Individual Coefficients in a Dyadic Link Formation Model Lacking Observable Characteristics," Papers 2408.04552, arXiv.org.
    35. Koen Jochmans & Martin Weidner, 2016. "Fixed-Effect Regressions on Network Data," Papers 1608.01532, arXiv.org, revised Apr 2019.
    36. 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.
    37. Chris Muris & Cavit Pakel, 2025. "Triadic Network Formation," Papers 2509.26420, arXiv.org.
    38. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    39. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    40. David W. Hughes, 2022. "A jackknife bias correction for nonlinear network data models with fixed effects," Papers 2203.15603, arXiv.org, revised Nov 2025.
    41. 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.

  26. Koen Jochmans, 2016. "Semiparametric Analysis of Network Formation," Sciences Po Economics Publications (main) hal-03393207, 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. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    4. Chris Muris & Cavit Pakel & Qichen Zhang, 2025. "Dyadic data with ordered outcome variables," Papers 2507.16689, arXiv.org.
    5. 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.
    6. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit," MPRA Paper 110034, University Library of Munich, Germany.
    7. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2025. "Grouped fixed effects regularization for binary choice models," Papers 2502.06446, arXiv.org, revised Nov 2025.
    9. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    10. 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.
    11. Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin, 2024. "Network and panel quantile effects via distribution regression," Journal of Econometrics, Elsevier, vol. 240(2).
    12. 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.
    13. Tadao Hoshino & Daichi Shimamoto & Yasuyuki Todo, 2020. "Accounting for Heterogeneity in Network Formation Behaviour: An Application to Vietnamese SMEs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1042-1067, October.
    14. Graham, Bryan S., 2020. "Network data," Handbook of Econometrics,, Elsevier.
    15. André, Pierre & Dupraz, Yannick, 2019. "Education and Polygamy: Evidence from Cameroon," CAGE Online Working Paper Series 435, Competitive Advantage in the Global Economy (CAGE).
    16. 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.
    17. 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.
    18. 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.
    19. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    20. 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.
    21. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    29. 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.
    30. L. Sanna Stephan, 2024. "Semiparametric Estimation of Individual Coefficients in a Dyadic Link Formation Model Lacking Observable Characteristics," Papers 2408.04552, arXiv.org.
    31. 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.
    32. Chris Muris & Cavit Pakel, 2025. "Triadic Network Formation," Papers 2509.26420, arXiv.org.
    33. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    34. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    35. David W. Hughes, 2022. "A jackknife bias correction for nonlinear network data models with fixed effects," Papers 2203.15603, arXiv.org, revised Nov 2025.
    36. 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.

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

    Cited by:

    1. 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.
    2. Schennach, Susanne M., 2020. "Mismeasured and unobserved variables," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 487-565, Elsevier.
    3. Argan, Damiano & Gary-Bobo, Robert J. & Goussé, Marion, 2025. "Is There a Devaluation of Degrees? Unobserved Heterogeneity in Returns to Education and Early Experience," IZA Discussion Papers 18053, Institute of Labor Economics (IZA).
    4. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    5. 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.
    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. Jochmans, Koen, 2025. "Identification in Models for Matched Panel Data with Two-Sided Random Effects," TSE Working Papers 25-1649, Toulouse School of Economics (TSE), revised Oct 2025.
    8. 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.
    9. Marc Henry & Koen Jochmans & Bernard Salani'e, 2021. "Inference on two component mixtures under tail restrictions," Papers 2102.06232, arXiv.org.
    10. 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.
    11. Koen Jochmans & Martin Weidner, 2021. "Inference on a distribution from noisy draws," CeMMAP working papers CWP42/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  28. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2016. "Estimating Multivariate Latent-Structure Models," Sciences Po Economics Publications (main) hal-03392022, HAL.

    Cited by:

    1. 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.
    2. Schennach, Susanne M., 2020. "Mismeasured and unobserved variables," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 487-565, Elsevier.
    3. Argan, Damiano & Gary-Bobo, Robert J. & Goussé, Marion, 2025. "Is There a Devaluation of Degrees? Unobserved Heterogeneity in Returns to Education and Early Experience," IZA Discussion Papers 18053, Institute of Labor Economics (IZA).
    4. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    5. 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.
    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. Jochmans, Koen, 2025. "Identification in Models for Matched Panel Data with Two-Sided Random Effects," TSE Working Papers 25-1649, Toulouse School of Economics (TSE), revised Oct 2025.
    8. 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.
    9. Marc Henry & Koen Jochmans & Bernard Salani'e, 2021. "Inference on two component mixtures under tail restrictions," Papers 2102.06232, arXiv.org.
    10. 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.
    11. Koen Jochmans & Martin Weidner, 2021. "Inference on a distribution from noisy draws," CeMMAP working papers CWP42/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  29. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Sciences Po Economics Publications (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. 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.
    3. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," Sciences Po Economics Discussion Papers hal-01070553, HAL.
    4. Stéphane Bonhomme & Koen Jochmans & Martin Weidner, 2025. "A neyman-orthogonalization approach to the incidental parameter problem," CeMMAP working papers 05/25, Institute for Fiscal Studies.
    5. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    6. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    7. 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.
    8. 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.
    9. Artūras Juodis & Vasilis Sarafidis, 2023. "New results on asymptotic properties of likelihood estimators with persistent data for small and large T," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(3), pages 435-461, December.
    10. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    11. 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.
    12. Jochmans, Koen & Higgins, Ayden, 2022. "Bootstrap inference for fixed-effect models," TSE Working Papers 22-1328, Toulouse School of Economics (TSE), revised Dec 2023.
    13. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    14. Maurice J. G. Bun & Frank Kleibergen, 2021. "Identification robust inference for moments based analysis of linear dynamic panel data models," Papers 2105.08346, arXiv.org.
    15. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2020. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Center for Agricultural and Rural Development (CARD) Publications 20-wp612, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    16. 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.
    17. 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.
    18. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    19. 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.
    20. 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.
    21. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    22. Hugo Kruiniger, 2025. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," Papers 2508.20753, arXiv.org, revised Jan 2026.
    23. Alexander Chudik & Cameron M. Ellis & Johannes G. Jaspersen, 2025. "Lags, Leave-Outs and Fixed Effects," Working Papers 2536, Federal Reserve Bank of Dallas.
    24. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    25. 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.

  30. 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. 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.
    3. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," Sciences Po Economics Discussion Papers hal-01070553, HAL.
    4. Stéphane Bonhomme & Koen Jochmans & Martin Weidner, 2025. "A neyman-orthogonalization approach to the incidental parameter problem," CeMMAP working papers 05/25, Institute for Fiscal Studies.
    5. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    6. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    7. 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.
    8. 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.
    9. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    10. 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.
    11. Jochmans, Koen & Higgins, Ayden, 2022. "Bootstrap inference for fixed-effect models," TSE Working Papers 22-1328, Toulouse School of Economics (TSE), revised Dec 2023.
    12. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    13. Maurice J. G. Bun & Frank Kleibergen, 2021. "Identification robust inference for moments based analysis of linear dynamic panel data models," Papers 2105.08346, arXiv.org.
    14. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2020. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Center for Agricultural and Rural Development (CARD) Publications 20-wp612, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    15. 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.
    16. 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.
    17. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    18. 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.
    19. 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.
    20. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    21. Hugo Kruiniger, 2025. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," Papers 2508.20753, arXiv.org, revised Jan 2026.
    22. Alexander Chudik & Cameron M. Ellis & Johannes G. Jaspersen, 2025. "Lags, Leave-Outs and Fixed Effects," Working Papers 2536, Federal Reserve Bank of Dallas.
    23. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    24. 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.

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

    Cited by:

    1. Budanova, Sofya, 2025. "Penalized estimation of finite mixture models," Journal of Econometrics, Elsevier, vol. 249(PB).
    2. 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.
    3. Victor Aguirregabiria & Alessandro Iaria & Senay Sokullu, 2023. "Identification and Estimation of Demand Models with Endogenous Product Entry and Exit," Papers 2308.14196, arXiv.org.
    4. Engel, Christoph, 2020. "Estimating heterogeneous reactions to experimental treatments," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 124-147.
    5. Michael Levine & Gildas Mazo, 2024. "A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure," Computational Statistics, Springer, vol. 39(4), pages 1825-1846, June.
    6. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    7. Schennach, Susanne M., 2020. "Mismeasured and unobserved variables," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 487-565, Elsevier.
    8. 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.
    9. 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.
    10. Bellemare, Charles & Sebald, Alexander, 2019. "Measuring Belief-Dependent Preferences without Information about Beliefs," IZA Discussion Papers 12153, Institute of Labor Economics (IZA).
    11. 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.
    12. Stephane Bonhomme, 2021. "Teams: Heterogeneity, Sorting, and Complementarity," Papers 2102.01802, arXiv.org.
    13. Qihui Chen & Zheng Fang, 2018. "Improved Inference on the Rank of a Matrix," Papers 1812.02337, arXiv.org, revised Mar 2019.
    14. Jochmans, Koen, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Journal of Econometrics, Elsevier, vol. 242(2).
    15. Marc Henry & Koen Jochmans & Bernard Salani'e, 2021. "Inference on two component mixtures under tail restrictions," Papers 2102.06232, arXiv.org.
    16. Koen Jochmans & Martin Weidner, 2021. "Inference on a distribution from noisy draws," CeMMAP working papers CWP42/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Arthur Lewbel & Xi Qu & Xun Tang, 2025. "Estimating Social Network Models with Link Misclassification," Papers 2509.07343, arXiv.org.

  32. Koen Jochmans & Geert Dhaene, 2015. "Bias-corrected estimation of panel vector autoregressions," Sciences Po Economics Publications (main) hal-01174330, HAL.

    Cited by:

    1. Shengnan Cui & Yanqiu Wang & Ping Xu & Liping Li, 2024. "Ecological welfare performance, industrial agglomeration and technological innovation: an empirical study based on Beijing–Tianjin–Hebei, Yangtze River Delta and Pearl River Delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1505-1528, January.
    2. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.
    3. Atsushi Inoue & Òscar Jordà & Guido M. Kuersteiner, 2024. "Inference for Local Projections," Working Paper Series 2024-29, Federal Reserve Bank of San Francisco.
    4. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.

  33. Koen Jochmans & Geert Dhaene, 2015. "Bias-corrected estimation of panel vector autoregressions," Sciences Po Economics Publications (main) hal-01174330, HAL.

    Cited by:

    1. Shengnan Cui & Yanqiu Wang & Ping Xu & Liping Li, 2024. "Ecological welfare performance, industrial agglomeration and technological innovation: an empirical study based on Beijing–Tianjin–Hebei, Yangtze River Delta and Pearl River Delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1505-1528, January.
    2. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.
    3. Atsushi Inoue & Òscar Jordà & Guido M. Kuersteiner, 2024. "Inference for Local Projections," Working Paper Series 2024-29, Federal Reserve Bank of San Francisco.
    4. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.

  34. Koen Jochmans, 2015. "Two-way models for gravity," Sciences Po Economics Discussion 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. Jules Hugot & Camilo Umana Dajud, 2016. "Trade costs and the Suez and Panama Canals," Working Papers 2016-29, CEPII research center.
    4. 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).
    5. 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.
    6. Federico Crippa, 2025. "Identification, Estimation, and Inference in Two-Sided Interaction Models," Papers 2510.22884, arXiv.org.
    7. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    8. 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.
    9. Giorgio Fagiolo & Tommaso Rughi, 2023. "Exploring the Macroeconomic Drivers of International Bilateral Remittance Flows: A Gravity-Model Approach," Economies, MDPI, vol. 11(7), pages 1-27, July.
    10. 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.
    11. Ohyun Kwon & Jangsu Yoon & Yoto V. Yotov, 2022. "A Generalized Poisson-Pseudo Maximum Likelihood Estimator," CESifo Working Paper Series 10145, CESifo.
    12. Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
    13. 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.
    14. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    15. Martin,William J., 2020. "Making Gravity Great Again," Policy Research Working Paper Series 9391, The World Bank.
    16. Camilo Umana Dajud, 2016. "Do Visas Hinder International Trade in Goods?," Working Papers 2016-30, CEPII research center.
    17. 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. 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.
    19. 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.
    20. 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.
    21. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2024. "Teaching advanced topics in econometrics using introductory textbooks: The case of dynamic panel data methods," International Review of Economics Education, Elsevier, vol. 47(C).
    22. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Container Trade Disruptions and U.S. Agricultural Exports," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322364, Agricultural and Applied Economics Association.
    23. Kevin Dano & Bo E. Honor'e & Martin Weidner, 2025. "Binary choice logit models with general fixed effects for panel and network data," Papers 2508.11556, arXiv.org.
    24. Mario Larch & Yoto V. Yotov, 2023. "Estimating the Effects of Trade Agreements: Lessons from 60 Years of Methods and Data," CESifo Working Paper Series 10267, CESifo.
    25. Choi Nakgyoon, 2018. "Economic Effects of Anti-Dumping Duties: Protectionist Measures or Trade Remedies?," Working Papers id:12447, eSocialSciences.
    26. Mugnier, Martin, 2025. "A simple and computationally trivial estimator for grouped fixed effects models," Journal of Econometrics, Elsevier, vol. 250(C).
    27. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    28. Pfaffermayr, Michael, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, Elsevier, vol. 161(C), pages 188-198.

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

    Cited by:

    1. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
    2. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.
    3. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2021. "Intercept Estimation in Nonlinear Selection Models," IZA Discussion Papers 14364, Institute of Labor Economics (IZA).
    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.

  36. Koen Jochmans, 2015. "Two-way models for gravity," Sciences Po Economics Discussion 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. Jules Hugot & Camilo Umana Dajud, 2016. "Trade costs and the Suez and Panama Canals," Working Papers 2016-29, CEPII research center.
    4. 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).
    5. 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.
    6. Federico Crippa, 2025. "Identification, Estimation, and Inference in Two-Sided Interaction Models," Papers 2510.22884, arXiv.org.
    7. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    8. 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.
    9. Giorgio Fagiolo & Tommaso Rughi, 2023. "Exploring the Macroeconomic Drivers of International Bilateral Remittance Flows: A Gravity-Model Approach," Economies, MDPI, vol. 11(7), pages 1-27, July.
    10. 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.
    11. Ohyun Kwon & Jangsu Yoon & Yoto V. Yotov, 2022. "A Generalized Poisson-Pseudo Maximum Likelihood Estimator," CESifo Working Paper Series 10145, CESifo.
    12. Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
    13. 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.
    14. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    15. Martin,William J., 2020. "Making Gravity Great Again," Policy Research Working Paper Series 9391, The World Bank.
    16. Camilo Umana Dajud, 2016. "Do Visas Hinder International Trade in Goods?," Working Papers 2016-30, CEPII research center.
    17. 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. 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.
    19. 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.
    20. 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.
    21. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2024. "Teaching advanced topics in econometrics using introductory textbooks: The case of dynamic panel data methods," International Review of Economics Education, Elsevier, vol. 47(C).
    22. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Container Trade Disruptions and U.S. Agricultural Exports," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322364, Agricultural and Applied Economics Association.
    23. Kevin Dano & Bo E. Honor'e & Martin Weidner, 2025. "Binary choice logit models with general fixed effects for panel and network data," Papers 2508.11556, arXiv.org.
    24. Mario Larch & Yoto V. Yotov, 2023. "Estimating the Effects of Trade Agreements: Lessons from 60 Years of Methods and Data," CESifo Working Paper Series 10267, CESifo.
    25. Choi Nakgyoon, 2018. "Economic Effects of Anti-Dumping Duties: Protectionist Measures or Trade Remedies?," Working Papers id:12447, eSocialSciences.
    26. Mugnier, Martin, 2025. "A simple and computationally trivial estimator for grouped fixed effects models," Journal of Econometrics, Elsevier, vol. 250(C).
    27. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    28. Pfaffermayr, Michael, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, Elsevier, vol. 161(C), pages 188-198.

  37. Geert Dhaene & Koen Jochmans, 2015. "Profile-score adjustments for incidental-parameter problems," Sciences Po Economics Publications (main) hal-03460016, HAL.

    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.
    2. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    3. Martellosio, Federico & Hillier, Grant, 2020. "Adjusted QMLE for the spatial autoregressive parameter," Journal of Econometrics, Elsevier, vol. 219(2), pages 488-506.

  38. Koen Jochmans & Geert Dhaene, 2015. "Bias-corrected estimation of panel vector autoregressions," Sciences Po Economics Discussion Papers hal-01174330, HAL.

    Cited by:

    1. Shengnan Cui & Yanqiu Wang & Ping Xu & Liping Li, 2024. "Ecological welfare performance, industrial agglomeration and technological innovation: an empirical study based on Beijing–Tianjin–Hebei, Yangtze River Delta and Pearl River Delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1505-1528, January.
    2. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.
    3. Atsushi Inoue & Òscar Jordà & Guido M. Kuersteiner, 2024. "Inference for Local Projections," Working Paper Series 2024-29, Federal Reserve Bank of San Francisco.
    4. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.

  39. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," Sciences Po Economics Discussion Papers hal-01070553, HAL.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," Sciences Po Economics Publications (main) hal-01073733, HAL.
    3. 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.
    4. 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.
    5. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    6. 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.
    7. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    8. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    9. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    10. 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.
    11. 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.
    12. 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.
    13. Diana Lima & Vasco Gabriel, 2021. "Institutional Arrangements and Inflation Bias: A Dynamic Heterogeneous Panel Approach," Working Papers w202106, Banco de Portugal, Economics and Research Department.
    14. 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.
    15. Florian Marcel Nuță & Alina Gabriela Mărcuță & Levente Dimen & Liviu Mărcuță & Lucian Gaban & Nargiz Hajiyeva & Alina Cristina Nuta, 2025. "The Role of Poverty and Gender in Shaping Households’ Energy Consumption Patterns in Selected European Countries," Energies, MDPI, vol. 18(5), pages 1-17, March.
    16. 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.
    17. 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.
    18. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    19. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    20. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    21. Yilmaz Bayar & Özlem Yorulmaz & Oğuzhan Yelkesen & Valentin Toader, 2024. "The interaction between ICT penetration and sustainable development: empirical evidence from African countries," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    22. 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.
    23. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    24. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    25. Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2023. "Pooled Bewley Estimator of Long Run Relationships in Dynamic Heterogenous Panels," Papers 2311.02196, arXiv.org.
    26. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    27. 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.
    28. Xiao, Jiaqi & Juodis, Arturas & Karavias, Yiannis & Sarafidis, Vasilis, 2021. "Improved Tests for Granger Non-Causality in Panel Data," MPRA Paper 107180, University Library of Munich, Germany.
    29. Jochmans, K. & Weidner, M., 2019. "Inference on a distribution from noisy draws," Cambridge Working Papers in Economics 1946, Faculty of Economics, University of Cambridge.
    30. Kazenin, Konstantin Igorevich (Казенин, Константин Игоревич), 2016. "Adaptation of Rural Migrant Workers in Cities of Intensive Urbanization: Case of Makhachkala [Адаптация сельских мигрантов в городах интенсивной урбанизации: case Махачкала]," Working Papers 1036, Russian Presidential Academy of National Economy and Public Administration.
    31. 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.
    32. Weidner, Martin & Zylkin, Thomas, 2021. "Bias and consistency in three-way gravity models," Journal of International Economics, Elsevier, vol. 132(C).
    33. Bajo-Rubio, Oscar & Ramos-Herrera, María del Carmen, 2024. "Does international trade promote economic growth? Europe, 19th and 20th centuries," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 561-575.
    34. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
    35. 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.
    36. Carneiro, Anabela & Portugal, Pedro & Raposo, Pedro & Rodrigues, Paulo M.M., 2023. "The persistence of wages," Journal of Econometrics, Elsevier, vol. 233(2), pages 596-611.
    37. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    38. 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).
    39. 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).
    40. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2025. "Grouped fixed effects regularization for binary choice models," Papers 2502.06446, arXiv.org, revised Nov 2025.
    41. Michael Haylock, 2022. "Distributional differences in the time horizon of executive compensation," Empirical Economics, Springer, vol. 62(1), pages 157-186, January.
    42. 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.
    43. Liu, Junrong & Deng, Guoying & Yan, Jingzhou & Ma, Shibo, 2025. "Does economic policy uncertainty matter to corporate default probability? findings from theoretic analyses and China’s listed firms," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    44. 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 Jan 2026.
    45. 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.
    46. Grigory Franguridi & Bulat Gafarov & Kaspar Wüthrich, 2021. "Conditional Quantile Estimators: A Small Sample Theory," CESifo Working Paper Series 9046, CESifo.
    47. 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).
    48. Battistini, Niccolò & Falagiarda, Matteo & Hackmann, Angelina & Roma, Moreno, 2025. "Navigating the housing channel of monetary policy across euro area regions," European Economic Review, Elsevier, vol. 171(C).
    49. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    50. 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.
    51. Arne Nagengast & Fernando Rios-Avila & Yoto Yotov, 2025. "The European Single Market and Intra-EU Trade: An Assessment with Heterogeneity-Robust Difference-in-Differences Methods," Working Papers 2025003, Center for Global Policy Analysis, LeBow College of Business, Drexel University.
    52. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    53. 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.
    54. Geert Dhaene & Martin Weidner, 2023. "Approximate functional differencing," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(3), pages 379-416, December.
    55. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    56. Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin, 2024. "Network and panel quantile effects via distribution regression," Journal of Econometrics, Elsevier, vol. 240(2).
    57. 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.
    58. Hospido, Laura, 2010. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," IZA Discussion Papers 4712, Institute of Labor Economics (IZA).
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. Koen Jochmans, 2023. "Bootstrap inference for fixed-effect models," French Stata Users' Group Meetings 2023 21, Stata Users Group.
    64. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," MPRA Paper 110031, University Library of Munich, Germany.
    65. 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.
    66. Godøy, Anna & Huitfeldt, Ingrid, 2020. "Regional variation in health care utilization and mortality," Journal of Health Economics, Elsevier, vol. 71(C).
    67. 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.
    68. 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).
    69. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    70. 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.
    71. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Sciences Po Economics Publications (main) hal-04067326, HAL.
    72. 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.
    73. Gao, Jiti & Liu, Fei & Peng, Bin & Yan, Yayi, 2023. "Binary response models for heterogeneous panel data with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 1654-1679.
    74. Ayden Higgins & Koen Jochmans, 2025. "Inference in dynamic models for panel data using the moving block bootstrap," Papers 2502.08311, arXiv.org.
    75. 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.
    76. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2022. "Financial Development, Reforms and Growth," Discussion Paper Series 2022_07, Department of Economics, University of Macedonia, revised Sep 2022.
    77. 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.
    78. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
    79. Rabe, Collin & Waddle, Andrea, 2020. "The evolution of purchasing power parity," Journal of International Money and Finance, Elsevier, vol. 109(C).
    80. 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.
    81. 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.
    82. 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.
    83. 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.
    84. Ihsaan Bassier & Alan Manning, 2025. "Estimating labour market power: the long and short of it," CEP Discussion Papers dp2108, Centre for Economic Performance, LSE.
    85. 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).
    86. 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.
    87. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    88. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers CWP45/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    89. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).
    90. 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.
    91. Marc Rysman & Shuang Wang & Krzysztof Wozniak, 2025. "Understanding Preferences for Payment Cards using Household Scanner Data," Finance and Economics Discussion Series 2025-096, Board of Governors of the Federal Reserve System (U.S.).
    92. Hyungsik Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP35/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    93. 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.
    94. Hugo Kruiniger, 2021. "Root-n-consistent Conditional ML estimation of dynamic panel logit models with fixed effects," Papers 2103.04973, arXiv.org, revised Aug 2025.
    95. 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.
    96. de Groot, Oliver & Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Nikalexi, Katerina, 2020. "Monetary policy and regional inequality," Working Paper Series 2385, European Central Bank.
    97. 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.
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    148. 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.
    149. 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.
    150. Cobo-Reyes, Ramón & Katz, Gabriel & Meraglia, Simone, 2019. "Endogenous sanctioning institutions and migration patterns: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 575-606.
    151. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Jan 2026.
    152. 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.
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    154. Antonio Fatas & Bram Gootjes & Joseph Mawejje, 2025. "Dynamic Effects of Fiscal Rules : Do Initial Conditions Matter ?," Policy Research Working Paper Series 11066, The World Bank.
    155. 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.
    156. 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).
    157. Alexander Chudik & Cameron M. Ellis & Johannes G. Jaspersen, 2025. "Lags, Leave-Outs and Fixed Effects," Working Papers 2536, Federal Reserve Bank of Dallas.
    158. Reed, W. Robert & Zhu, Min, 2017. "On estimating long-run effects in models with lagged dependent variables," Economic Modelling, Elsevier, vol. 64(C), pages 302-311.
    159. Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Renault, Théodore, 2022. "Risk sharing and monetary policy transmission," Working Paper Series 2746, European Central Bank.
    160. Sergei Golovan & Natalya Volchkova, 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.
    161. 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.
    162. 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.
    163. Chudik, Alexander & Pesaran, M. Hashem, 2019. "Mean group estimation in presence of weakly cross-correlated estimators," Economics Letters, Elsevier, vol. 175(C), pages 101-105.
    164. Wang, Wuyi & Su, Liangjun, 2021. "Identifying latent group structures in nonlinear panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 272-295.
    165. 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).
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    167. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
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    180. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.
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  40. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Estimating Multivariate Latent-Structure Models," Sciences Po Economics Discussion Papers hal-01097135, HAL.

    Cited by:

    1. 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.
    2. Schennach, Susanne M., 2020. "Mismeasured and unobserved variables," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 487-565, Elsevier.
    3. Argan, Damiano & Gary-Bobo, Robert J. & Goussé, Marion, 2025. "Is There a Devaluation of Degrees? Unobserved Heterogeneity in Returns to Education and Early Experience," IZA Discussion Papers 18053, Institute of Labor Economics (IZA).
    4. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    5. 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.
    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. Jochmans, Koen, 2025. "Identification in Models for Matched Panel Data with Two-Sided Random Effects," TSE Working Papers 25-1649, Toulouse School of Economics (TSE), revised Oct 2025.
    8. 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.
    9. Marc Henry & Koen Jochmans & Bernard Salani'e, 2021. "Inference on two component mixtures under tail restrictions," Papers 2102.06232, arXiv.org.
    10. 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.
    11. Koen Jochmans & Martin Weidner, 2021. "Inference on a distribution from noisy draws," CeMMAP working papers CWP42/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  41. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," Sciences Po Economics Publications (main) hal-01070553, HAL.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," Sciences Po Economics Publications (main) hal-01073733, HAL.
    3. 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.
    4. 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.
    5. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    6. Vivian Norambuena, 2015. "Sovereign Debt Default: Are Countries Trapped by Their Own Default History?," Working Papers wp416, University of Chile, Department of Economics.
    7. 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.
    8. 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.
    9. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    10. Dzemski, Andreas, 2017. "An empirical model of dyadic link formation in a network with unobserved heterogeneity," Working Papers in Economics 698, University of Gothenburg, Department of Economics, revised Apr 2018.
    11. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    12. Kunz, Johannes S. & Staub, Kevin E. & Winkelmann, Rainer, 2017. "Estimating Fixed Effects: Perfect Prediction and Bias in Binary Response Panel Models, with an Application to the Hospital Readmissions Reduction Program," IZA Discussion Papers 11182, Institute of Labor Economics (IZA).
    13. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    14. 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.
    15. 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.
    16. 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.
    17. Diana Lima & Vasco Gabriel, 2021. "Institutional Arrangements and Inflation Bias: A Dynamic Heterogeneous Panel Approach," Working Papers w202106, Banco de Portugal, Economics and Research Department.
    18. 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.
    19. Florian Marcel Nuță & Alina Gabriela Mărcuță & Levente Dimen & Liviu Mărcuță & Lucian Gaban & Nargiz Hajiyeva & Alina Cristina Nuta, 2025. "The Role of Poverty and Gender in Shaping Households’ Energy Consumption Patterns in Selected European Countries," Energies, MDPI, vol. 18(5), pages 1-17, March.
    20. 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.
    21. 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.
    22. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    23. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    24. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    25. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    26. Yilmaz Bayar & Özlem Yorulmaz & Oğuzhan Yelkesen & Valentin Toader, 2024. "The interaction between ICT penetration and sustainable development: empirical evidence from African countries," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    27. 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.
    28. Raf Van Gestel & Tobias Müller & Johan Bosmans, 2018. "Learning from failure in healthcare: Dynamic panel evidence of a physician shock effect," Health Economics, John Wiley & Sons, Ltd., vol. 27(9), pages 1340-1353, September.
    29. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    30. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    31. Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2023. "Pooled Bewley Estimator of Long Run Relationships in Dynamic Heterogenous Panels," Papers 2311.02196, arXiv.org.
    32. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    33. 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.
    34. Xiao, Jiaqi & Juodis, Arturas & Karavias, Yiannis & Sarafidis, Vasilis, 2021. "Improved Tests for Granger Non-Causality in Panel Data," MPRA Paper 107180, University Library of Munich, Germany.
    35. Jochmans, K. & Weidner, M., 2019. "Inference on a distribution from noisy draws," Cambridge Working Papers in Economics 1946, Faculty of Economics, University of Cambridge.
    36. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    37. 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.
    38. Weidner, Martin & Zylkin, Thomas, 2021. "Bias and consistency in three-way gravity models," Journal of International Economics, Elsevier, vol. 132(C).
    39. Bajo-Rubio, Oscar & Ramos-Herrera, María del Carmen, 2024. "Does international trade promote economic growth? Europe, 19th and 20th centuries," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 561-575.
    40. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
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    181. Bo E. Honor'e & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Papers 2005.05942, arXiv.org, revised Dec 2023.
    182. 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).
    183. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    184. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
    185. Hahn, Jinyong & Liu, Xueyuan, 2022. "Jackknife bias reduction for simulated maximum likelihood estimator of discrete choice models," Economics Letters, Elsevier, vol. 219(C).
    186. Chen, Mingli, "undated". "Estimation of Nonlinear Panel Models with Multiple Unobserved Effects," Economic Research Papers 269326, University of Warwick - Department of Economics.
    187. Chambers, MJ & Kyriacou, M, 2010. "Jackknife Bias Reduction in the Presence of a Unit Root," Economics Discussion Papers 2785, University of Essex, Department of Economics.
    188. Sharon Traiberman, 2019. "Occupations and Import Competition: Evidence from Denmark," American Economic Review, American Economic Association, vol. 109(12), pages 4260-4301, December.
    189. Rehman, Mubeen Abdur, 2024. "How has FinTech become a solution for minerals management?," Resources Policy, Elsevier, vol. 92(C).
    190. 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.
    191. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    192. 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.
    193. Antonio Focacci, 2025. "An Empirical Investigation into the Investment–Saving Relationship Through Granger Non-Causality Panel Tests," JRFM, MDPI, vol. 18(7), pages 1-14, June.
    194. Lu, Xun & Su, Liangjun, 2020. "Determining individual or time effects in panel data models," Journal of Econometrics, Elsevier, vol. 215(1), pages 60-83.
    195. Dai, Siqi & Hong, Yongmiao & Li, Haiqi & Zheng, Chaowen, 2025. "Shrinkage estimation of spatial panel data models with multiple structural breaks and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 251(C).
    196. 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.
    197. Kim, Jounghyeon, 2023. "Does population aging matter for remittances in developing countries?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1038-1056.
    198. David W. Hughes, 2022. "A jackknife bias correction for nonlinear network data models with fixed effects," Papers 2203.15603, arXiv.org, revised Nov 2025.
    199. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.
    200. Andreas Dzemski & Ryo Okui, 2017. "Confidence set for group membership," Papers 1801.00332, arXiv.org, revised Nov 2023.
    201. 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".

  42. Marc Henry & Koen Jochmans & Bernard Salanié, 2014. "Inference on Mixtures Under Tail Restrictions," Sciences Po Economics Publications (main) hal-01053810, HAL.

    Cited by:

    1. 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.
    2. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2016. "Estimating Multivariate Latent-Structure Models," Post-Print hal-03392022, HAL.
    3. Marc Henry & Koen Jochmans & Bernard Salani'e, 2021. "Inference on two component mixtures under tail restrictions," Papers 2102.06232, arXiv.org.

  43. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," Sciences Po Economics Publications (main) hal-01070553, HAL.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," Sciences Po Economics Publications (main) hal-01073733, HAL.
    3. 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.
    4. 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.
    5. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    6. 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.
    7. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    8. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    9. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    10. 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.
    11. 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.
    12. 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.
    13. Diana Lima & Vasco Gabriel, 2021. "Institutional Arrangements and Inflation Bias: A Dynamic Heterogeneous Panel Approach," Working Papers w202106, Banco de Portugal, Economics and Research Department.
    14. 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.
    15. Florian Marcel Nuță & Alina Gabriela Mărcuță & Levente Dimen & Liviu Mărcuță & Lucian Gaban & Nargiz Hajiyeva & Alina Cristina Nuta, 2025. "The Role of Poverty and Gender in Shaping Households’ Energy Consumption Patterns in Selected European Countries," Energies, MDPI, vol. 18(5), pages 1-17, March.
    16. 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.
    17. 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.
    18. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    19. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    20. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    21. Yilmaz Bayar & Özlem Yorulmaz & Oğuzhan Yelkesen & Valentin Toader, 2024. "The interaction between ICT penetration and sustainable development: empirical evidence from African countries," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    22. 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.
    23. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    24. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    25. Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2023. "Pooled Bewley Estimator of Long Run Relationships in Dynamic Heterogenous Panels," Papers 2311.02196, arXiv.org.
    26. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    27. 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.
    28. Xiao, Jiaqi & Juodis, Arturas & Karavias, Yiannis & Sarafidis, Vasilis, 2021. "Improved Tests for Granger Non-Causality in Panel Data," MPRA Paper 107180, University Library of Munich, Germany.
    29. Jochmans, K. & Weidner, M., 2019. "Inference on a distribution from noisy draws," Cambridge Working Papers in Economics 1946, Faculty of Economics, University of Cambridge.
    30. 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.
    31. Weidner, Martin & Zylkin, Thomas, 2021. "Bias and consistency in three-way gravity models," Journal of International Economics, Elsevier, vol. 132(C).
    32. Bajo-Rubio, Oscar & Ramos-Herrera, María del Carmen, 2024. "Does international trade promote economic growth? Europe, 19th and 20th centuries," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 561-575.
    33. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
    34. 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.
    35. Carneiro, Anabela & Portugal, Pedro & Raposo, Pedro & Rodrigues, Paulo M.M., 2023. "The persistence of wages," Journal of Econometrics, Elsevier, vol. 233(2), pages 596-611.
    36. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    37. 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).
    38. 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).
    39. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2025. "Grouped fixed effects regularization for binary choice models," Papers 2502.06446, arXiv.org, revised Nov 2025.
    40. Michael Haylock, 2022. "Distributional differences in the time horizon of executive compensation," Empirical Economics, Springer, vol. 62(1), pages 157-186, January.
    41. 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.
    42. Liu, Junrong & Deng, Guoying & Yan, Jingzhou & Ma, Shibo, 2025. "Does economic policy uncertainty matter to corporate default probability? findings from theoretic analyses and China’s listed firms," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    43. 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 Jan 2026.
    44. 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.
    45. Grigory Franguridi & Bulat Gafarov & Kaspar Wüthrich, 2021. "Conditional Quantile Estimators: A Small Sample Theory," CESifo Working Paper Series 9046, CESifo.
    46. 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).
    47. Battistini, Niccolò & Falagiarda, Matteo & Hackmann, Angelina & Roma, Moreno, 2025. "Navigating the housing channel of monetary policy across euro area regions," European Economic Review, Elsevier, vol. 171(C).
    48. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    49. 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.
    50. Arne Nagengast & Fernando Rios-Avila & Yoto Yotov, 2025. "The European Single Market and Intra-EU Trade: An Assessment with Heterogeneity-Robust Difference-in-Differences Methods," Working Papers 2025003, Center for Global Policy Analysis, LeBow College of Business, Drexel University.
    51. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    52. 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.
    53. Geert Dhaene & Martin Weidner, 2023. "Approximate functional differencing," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(3), pages 379-416, December.
    54. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    55. Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin, 2024. "Network and panel quantile effects via distribution regression," Journal of Econometrics, Elsevier, vol. 240(2).
    56. 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.
    57. Hospido, Laura, 2010. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," IZA Discussion Papers 4712, Institute of Labor Economics (IZA).
    58. 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.
    59. 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.
    60. 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.
    61. 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.
    62. Koen Jochmans, 2023. "Bootstrap inference for fixed-effect models," French Stata Users' Group Meetings 2023 21, Stata Users Group.
    63. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," MPRA Paper 110031, University Library of Munich, Germany.
    64. 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.
    65. Godøy, Anna & Huitfeldt, Ingrid, 2020. "Regional variation in health care utilization and mortality," Journal of Health Economics, Elsevier, vol. 71(C).
    66. 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.
    67. 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).
    68. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    69. 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.
    70. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Sciences Po Economics Publications (main) hal-04067326, HAL.
    71. 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.
    72. Gao, Jiti & Liu, Fei & Peng, Bin & Yan, Yayi, 2023. "Binary response models for heterogeneous panel data with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 1654-1679.
    73. Ayden Higgins & Koen Jochmans, 2025. "Inference in dynamic models for panel data using the moving block bootstrap," Papers 2502.08311, arXiv.org.
    74. 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.
    75. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2022. "Financial Development, Reforms and Growth," Discussion Paper Series 2022_07, Department of Economics, University of Macedonia, revised Sep 2022.
    76. 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.
    77. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
    78. Rabe, Collin & Waddle, Andrea, 2020. "The evolution of purchasing power parity," Journal of International Money and Finance, Elsevier, vol. 109(C).
    79. 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.
    80. 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.
    81. 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.
    82. 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.
    83. Ihsaan Bassier & Alan Manning, 2025. "Estimating labour market power: the long and short of it," CEP Discussion Papers dp2108, Centre for Economic Performance, LSE.
    84. 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).
    85. 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.
    86. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    87. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers CWP45/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    88. Jochmans, Koen, 2023. "Many (Weak) Judges in Judge-Leniency Designs," TSE Working Papers 23-1481, Toulouse School of Economics (TSE).
    89. 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.
    90. Marc Rysman & Shuang Wang & Krzysztof Wozniak, 2025. "Understanding Preferences for Payment Cards using Household Scanner Data," Finance and Economics Discussion Series 2025-096, Board of Governors of the Federal Reserve System (U.S.).
    91. Hyungsik Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP35/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    92. 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.
    93. Hugo Kruiniger, 2021. "Root-n-consistent Conditional ML estimation of dynamic panel logit models with fixed effects," Papers 2103.04973, arXiv.org, revised Aug 2025.
    94. 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.
    95. de Groot, Oliver & Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Nikalexi, Katerina, 2020. "Monetary policy and regional inequality," Working Paper Series 2385, European Central Bank.
    96. 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.
    97. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    98. 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.
    99. 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.
    100. Alessandro Magrini & Luca Rimediotti, 2025. "Assessing the impact of Covid-19 on the Italian comic book industry: a panel vector autoregressive analysis of financial ratios," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(4), pages 3545-3573, August.
    101. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    102. 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.
    103. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    104. Chengwang Liao & Ziwei Mei & Zhentao Shi, 2024. "Nickell Meets Stambaugh: A Tale of Two Biases in Panel Predictive Regressions," Papers 2410.09825, arXiv.org.
    105. 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.
    106. 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.
    107. 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.
    108. 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.
    109. 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.
    110. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    111. 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).
    112. 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.
    113. Usman, Muhammad & Horobet, Alexandra & Radulescu, Magdalena & Balsalobre-Lorente, Daniel, 2025. "Environmental taxes, environmental policy stringency and policy complementarity: A comprehensive analysis of EU economic and environmental goals," International Review of Economics & Finance, Elsevier, vol. 103(C).
    114. Jin, Sainan & Lu, Xun & Su, Liangjun, 2025. "Three-dimensional heterogeneous panel data models with multi-level interactive fixed effects," Journal of Econometrics, Elsevier, vol. 249(PB).
    115. 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.
    116. 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.
    117. 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).
    118. Bartolucci, Francesco & Pigini, Claudia, 2019. "Partial effects estimation for fixed-effects logit panel data models," MPRA Paper 92243, University Library of Munich, Germany.
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    120. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    121. 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.
    122. 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.
    123. 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).
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    125. De Nora, Giorgia & Pereira, Ana & Pirovano, Mara & Stammwitz, Florian, 2025. "From losses to buffer - calibrating the positive neutral CCyB rate in the euro area," Working Paper Series 3061, European Central Bank.
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    129. Oconnor, Christopher, 2023. "Robust estimates of vulnerability to poverty using quantile models," Economic Modelling, Elsevier, vol. 123(C).
    130. 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.
    131. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2024. "Teaching advanced topics in econometrics using introductory textbooks: The case of dynamic panel data methods," International Review of Economics Education, Elsevier, vol. 47(C).
    132. Liang Chen & Minyuan Zhang, 2023. "Common Correlated Effects Estimation of Nonlinear Panel Data Models," Papers 2304.13199, arXiv.org.
    133. 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.
    134. Hoskins, Stephen & Johnston, David W. & Kunz, Johannes S. & Shields, Michael A. & Staub, Kevin E., 2024. "The importance of sampling frequency for estimates of well-being dynamics," Economics Letters, Elsevier, vol. 242(C).
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    136. 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).
    137. 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.
    138. 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.
    139. Bian, Yulin & Su, Liangjun, 2025. "A note on factor models with latent group structures," Economics Letters, Elsevier, vol. 252(C).
    140. Blazsek, Szabolcs & Escribano, Álvaro, 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.
    141. Galina Besstremyannaya & Sergei Golovan, 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.
    142. Peiyun Jiang & Yoshimasa Uematsu & Takashi Yamagata, 2025. "Bias Correction in Factor-Augmented Regression Models with Weak Factors," Papers 2509.02066, arXiv.org, revised Oct 2025.
    143. 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).
    144. 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.
    145. St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
    146. Li, Kunpeng, 2018. "Spatial panel data models with structural change," MPRA Paper 85388, University Library of Munich, Germany.
    147. 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.
    148. 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.
    149. Cobo-Reyes, Ramón & Katz, Gabriel & Meraglia, Simone, 2019. "Endogenous sanctioning institutions and migration patterns: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 575-606.
    150. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Jan 2026.
    151. 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.
    152. 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.
    153. Antonio Fatas & Bram Gootjes & Joseph Mawejje, 2025. "Dynamic Effects of Fiscal Rules : Do Initial Conditions Matter ?," Policy Research Working Paper Series 11066, The World Bank.
    154. 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.
    155. 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).
    156. Alexander Chudik & Cameron M. Ellis & Johannes G. Jaspersen, 2025. "Lags, Leave-Outs and Fixed Effects," Working Papers 2536, Federal Reserve Bank of Dallas.
    157. Reed, W. Robert & Zhu, Min, 2017. "On estimating long-run effects in models with lagged dependent variables," Economic Modelling, Elsevier, vol. 64(C), pages 302-311.
    158. Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Renault, Théodore, 2022. "Risk sharing and monetary policy transmission," Working Paper Series 2746, European Central Bank.
    159. Sergei Golovan & Natalya Volchkova, 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.
    160. 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.
    161. 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.
    162. Chudik, Alexander & Pesaran, M. Hashem, 2019. "Mean group estimation in presence of weakly cross-correlated estimators," Economics Letters, Elsevier, vol. 175(C), pages 101-105.
    163. Wang, Wuyi & Su, Liangjun, 2021. "Identifying latent group structures in nonlinear panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 272-295.
    164. 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).
    165. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    166. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
    167. Hahn, Jinyong & Liu, Xueyuan, 2022. "Jackknife bias reduction for simulated maximum likelihood estimator of discrete choice models," Economics Letters, Elsevier, vol. 219(C).
    168. Sharon Traiberman, 2019. "Occupations and Import Competition: Evidence from Denmark," American Economic Review, American Economic Association, vol. 109(12), pages 4260-4301, December.
    169. Rehman, Mubeen Abdur, 2024. "How has FinTech become a solution for minerals management?," Resources Policy, Elsevier, vol. 92(C).
    170. 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.
    171. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    172. 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.
    173. Antonio Focacci, 2025. "An Empirical Investigation into the Investment–Saving Relationship Through Granger Non-Causality Panel Tests," JRFM, MDPI, vol. 18(7), pages 1-14, June.
    174. Lu, Xun & Su, Liangjun, 2020. "Determining individual or time effects in panel data models," Journal of Econometrics, Elsevier, vol. 215(1), pages 60-83.
    175. Dai, Siqi & Hong, Yongmiao & Li, Haiqi & Zheng, Chaowen, 2025. "Shrinkage estimation of spatial panel data models with multiple structural breaks and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 251(C).
    176. 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.
    177. Kim, Jounghyeon, 2023. "Does population aging matter for remittances in developing countries?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1038-1056.
    178. David W. Hughes, 2022. "A jackknife bias correction for nonlinear network data models with fixed effects," Papers 2203.15603, arXiv.org, revised Nov 2025.
    179. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.
    180. 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".

  44. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2013. "Nonparametric estimation of finite mixtures," Sciences Po Economics Discussion Papers hal-00972868, HAL.

    Cited by:

    1. 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.
    2. 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.
    3. Marc Henry & Koen Jochmans & Bernard Salanié, 2014. "Inference on Mixtures Under Tail Restrictions," Sciences Po Economics Discussion Papers hal-01053810, HAL.
    4. Bellemare, Charles & Sebald, Alexander, 2019. "Measuring Belief-Dependent Preferences without Information about Beliefs," IZA Discussion Papers 12153, Institute of Labor Economics (IZA).
    5. Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
    6. Manuel Arellano & Stephane Bonhomme, 2019. "Recovering Latent Variables by Matching," Papers 1912.13081, arXiv.org.

  45. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2013. "Nonparametric estimation of finite mixtures," Sciences Po Economics Publications (main) hal-00972868, HAL.

    Cited by:

    1. 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.
    2. 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.
    3. Marc Henry & Koen Jochmans & Bernard Salanié, 2014. "Inference on Mixtures Under Tail Restrictions," Sciences Po Economics Discussion Papers hal-01053810, HAL.

  46. Geert Dhaene & Koen Jochmans, 2013. "Likelihood inference in an Autoregression with fixed effects," Sciences Po Economics Discussion 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. 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.
    3. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," Sciences Po Economics Discussion Papers hal-01070553, HAL.
    4. Stéphane Bonhomme & Koen Jochmans & Martin Weidner, 2025. "A neyman-orthogonalization approach to the incidental parameter problem," CeMMAP working papers 05/25, Institute for Fiscal Studies.
    5. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    6. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    7. 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.
    8. 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.
    9. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    10. 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.
    11. Jochmans, Koen & Higgins, Ayden, 2022. "Bootstrap inference for fixed-effect models," TSE Working Papers 22-1328, Toulouse School of Economics (TSE), revised Dec 2023.
    12. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    13. Maurice J. G. Bun & Frank Kleibergen, 2021. "Identification robust inference for moments based analysis of linear dynamic panel data models," Papers 2105.08346, arXiv.org.
    14. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2020. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Center for Agricultural and Rural Development (CARD) Publications 20-wp612, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    15. Alexander Chudik & M. Hashem Pesaran & Jui-Chung Yang, 2016. "Half-panel jackknife fixed effects estimation of panels with weakly exogenous regressor," Globalization Institute Working Papers 281, Federal Reserve Bank of Dallas.
    16. 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.
    17. 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.
    18. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    19. 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.
    20. 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.
    21. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    22. Hugo Kruiniger, 2025. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," Papers 2508.20753, arXiv.org, revised Jan 2026.
    23. Alexander Chudik & Cameron M. Ellis & Johannes G. Jaspersen, 2025. "Lags, Leave-Outs and Fixed Effects," Working Papers 2536, Federal Reserve Bank of Dallas.
    24. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    25. 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.

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

    Cited by:

    1. 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).
    2. Jochmans, Koen, 2015. "Multiplicative-error models with sample selection," Journal of Econometrics, Elsevier, vol. 184(2), pages 315-327.
    3. Juan Carlos Escanciano & Joel Robert Terschuur, 2022. "Debiased Machine Learning U-statistics," Papers 2206.05235, arXiv.org, revised Oct 2025.

  48. 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 nonparametric controls," Sciences Po Economics Discussion Papers hal-00973068, 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.

  49. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," Sciences Po Economics Publications (main) hal-01073733, HAL.

    Cited by:

    1. Koen Jochmans, 2015. "Two-way models for gravity," Working Papers hal-01114776, HAL.
    2. Deb Partha & Trivedi Pravin K., 2013. "Finite Mixture for Panels with Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 35-51, July.

  50. Koen Jochmans, 2011. "The variance of a rank estimator of transformation models," Sciences Po Economics Publications (main) hal-00973007, HAL.

    Cited by:

    1. Koen Jochmans, 2013. "Pairwise-comparison estimation with nonparametric controls," Sciences Po Economics Discussion Papers hal-00973068, 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.

  51. Geert Dhaene & Koen Jochmans, 2011. "An Adjusted profile likelihood for non-stationary panel data models with fixed effects," Sciences Po Economics Publications (main) hal-01073732, HAL.

    Cited by:

    1. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post schooling human capital investments and the life cycle variance of earnings," IDEI Working Papers 765, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    3. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," Working Papers hal-01073733, HAL.
    4. 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.
    5. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.
    6. Maurice J.G. Bun & Martin A. Carree & Arturas Juodis, 2014. "On Maximum Likelihood estimation of dynamic panel data models," UvA-Econometrics Working Papers 14-04, Universiteit van Amsterdam, Dept. of Econometrics.

  52. 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. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," Sciences Po Economics Publications (main) hal-01073733, HAL.
    3. 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.
    4. 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.
    5. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    6. 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.
    7. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    8. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    9. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    10. 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.
    11. 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.
    12. 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.
    13. Diana Lima & Vasco Gabriel, 2021. "Institutional Arrangements and Inflation Bias: A Dynamic Heterogeneous Panel Approach," Working Papers w202106, Banco de Portugal, Economics and Research Department.
    14. 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.
    15. Florian Marcel Nuță & Alina Gabriela Mărcuță & Levente Dimen & Liviu Mărcuță & Lucian Gaban & Nargiz Hajiyeva & Alina Cristina Nuta, 2025. "The Role of Poverty and Gender in Shaping Households’ Energy Consumption Patterns in Selected European Countries," Energies, MDPI, vol. 18(5), pages 1-17, March.
    16. 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.
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    158. Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Renault, Théodore, 2022. "Risk sharing and monetary policy transmission," Working Paper Series 2746, European Central Bank.
    159. Sergei Golovan & Natalya Volchkova, 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.
    160. 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.
    161. 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.
    162. Chudik, Alexander & Pesaran, M. Hashem, 2019. "Mean group estimation in presence of weakly cross-correlated estimators," Economics Letters, Elsevier, vol. 175(C), pages 101-105.
    163. Wang, Wuyi & Su, Liangjun, 2021. "Identifying latent group structures in nonlinear panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 272-295.
    164. 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).
    165. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    166. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
    167. Hahn, Jinyong & Liu, Xueyuan, 2022. "Jackknife bias reduction for simulated maximum likelihood estimator of discrete choice models," Economics Letters, Elsevier, vol. 219(C).
    168. Sharon Traiberman, 2019. "Occupations and Import Competition: Evidence from Denmark," American Economic Review, American Economic Association, vol. 109(12), pages 4260-4301, December.
    169. Rehman, Mubeen Abdur, 2024. "How has FinTech become a solution for minerals management?," Resources Policy, Elsevier, vol. 92(C).
    170. 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.
    171. Jochmans, K. & Verardi, V., 2019. "Instrumental-Variable Estimation of Gravity Equations," Cambridge Working Papers in Economics 1994, Faculty of Economics, University of Cambridge.
    172. 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.
    173. Antonio Focacci, 2025. "An Empirical Investigation into the Investment–Saving Relationship Through Granger Non-Causality Panel Tests," JRFM, MDPI, vol. 18(7), pages 1-14, June.
    174. Lu, Xun & Su, Liangjun, 2020. "Determining individual or time effects in panel data models," Journal of Econometrics, Elsevier, vol. 215(1), pages 60-83.
    175. Dai, Siqi & Hong, Yongmiao & Li, Haiqi & Zheng, Chaowen, 2025. "Shrinkage estimation of spatial panel data models with multiple structural breaks and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 251(C).
    176. 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.
    177. Kim, Jounghyeon, 2023. "Does population aging matter for remittances in developing countries?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1038-1056.
    178. David W. Hughes, 2022. "A jackknife bias correction for nonlinear network data models with fixed effects," Papers 2203.15603, arXiv.org, revised Nov 2025.
    179. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.
    180. 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, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Journal of Econometrics, Elsevier, vol. 242(2).
    See citations under working paper version above.
  2. 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.
  3. Ayden Higgins & Koen Jochmans, 2024. "Bootstrap Inference for Fixed‐Effect Models," Econometrica, Econometric Society, vol. 92(2), pages 411-427, March.
    See citations under working paper version above.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. Koen Jochmans & Vincenzo Verardi, 2020. "Fitting exponential regression models with two-way fixed effects," Stata Journal, StataCorp LLC, 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.

  13. 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.
  14. Koen Jochmans & Vincenzo Verardi, 2020. "A portmanteau test for serial correlation in a linear panel model," Stata Journal, StataCorp LLC, vol. 20(1), pages 149-161, March.

    Cited by:

    1. Yasir Ahmed Solangi & Rakan Alyamani & Muhammad Asghar & Sharafat Ali & Cosimo Magazzino, 2025. "The Impact of Social Investment and Green Finance on Sustainable Development: Evidence From Emerging Market Economies," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(3), pages 4366-4379, June.
    2. Croutzet, Alexandre & Dabbous, Amal, 2021. "Do FinTech trigger renewable energy use? Evidence from OECD countries," Renewable Energy, Elsevier, vol. 179(C), pages 1608-1617.
    3. Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera & Juan J. Rubio-Guerrero, 2025. "Public Expenditure and Economic Growth: Further Evidence for the European Union," Economies, MDPI, vol. 13(3), pages 1-25, February.
    4. 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. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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

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