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Average and Quantile Effects in Nonseparable Panel Models
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Cited by:
- Fernández-Val, Iván & Weidner, Martin, 2016.
"Individual and time effects in nonlinear panel models with large N, T,"
Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
- Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP60/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP32/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP17/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Hugo Freeman & Martin Weidner, 2021.
"Low-rank approximations of nonseparable panel models,"
The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 40-77.
- Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2021. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP10/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ho, Kate & Rosen, Adam M., 2015.
"Partial Identification in Applied Research: Benefits and Challenges,"
CEPR Discussion Papers
10883, C.E.P.R. Discussion Papers.
- Kate Ho & Adam Rosen, 2016. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 45/16, Institute for Fiscal Studies.
- Kate Ho & Adam Rosen, 2016. "Partial identification in applied research: benefits and challenges," CeMMAP working papers CWP45/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
- Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
- Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers CWP64/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jesús M. Carro & Elizaveta Pronkina, 2022.
"The heterogeneous effects of the great recession on informal care to the elderly,"
International Journal of Health Economics and Management, Springer, vol. 22(4), pages 355-367, December.
- Carro, Jesús M. & Pronkina, Elizaveta, 2021. "The heterogeneous effects of the Great Recession on informal care to the elderly," UC3M Working papers. Economics 33444, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Christopher Dobronyi & Jiaying Gu & Kyoo il Kim, 2021. "Identification of Dynamic Panel Logit Models with Fixed Effects," Papers 2104.04590, arXiv.org, revised Apr 2021.
- Brantly Callaway & Tong Li, 2019.
"Quantile treatment effects in difference in differences models with panel data,"
Quantitative Economics, Econometric Society, vol. 10(4), pages 1579-1618, November.
- Brantly Callaway & Tong Li, 2017. "Quantile Treatment Effects in Difference in Differences Models with Panel Data," DETU Working Papers 1701, Department of Economics, Temple University.
- Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
- Sant’Anna, Pedro H.C. & Zhao, Jun, 2020.
"Doubly robust difference-in-differences estimators,"
Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
- Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
- Kedagni, Desire & Krishna, Kala & Megalokonomou, Rigissa & Zhao, Yingyan, 2021.
"Does class size matter? How, and at what cost?,"
European Economic Review, Elsevier, vol. 133(C).
- Kedagni, Desire & Krishna, Kala & Megalokonomou, Rigissa & Zhao, Yingyan, 2019. "Does Class Size Matter? How, and at What Cost?," ISU General Staff Papers 201904010700001085, Iowa State University, Department of Economics.
- Desire Kedagni & Kala Krishna & Rigissa Megalokonomou & Yingyan Zhao, 2019. "Does Class Size Matter? How, and at What Cost?," NBER Working Papers 25736, National Bureau of Economic Research, Inc.
- Kedagni, Desire & Krishna, Kala & Megalokonomou, Rigissa & Zhao, Yingyan, 2021. "Does class size matter? How, and at what cost?," ISU General Staff Papers 202104010700001085, Iowa State University, Department of Economics.
- Shu Yang & Yunshu Zhang, 2023. "Multiply robust matching estimators of average and quantile treatment effects," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 235-265, March.
- Chernozhukov, Victor & Fernández-Val, Iván & Hoderlein, Stefan & Holzmann, Hajo & Newey, Whitney, 2015.
"Nonparametric identification in panels using quantiles,"
Journal of Econometrics, Elsevier, vol. 188(2), pages 378-392.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers CWP66/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey, 2014. "Nonparametric identification in panels using quantiles," CeMMAP working papers CWP54/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers 66/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey, 2014. "Nonparametric identification in panels using quantiles," CeMMAP working papers 54/14, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney Newey, 2013. "Nonparametric Identification in Panels using Quantiles," Papers 1312.4094, arXiv.org, revised Aug 2014.
- Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods and an Application on the Minimum Wage and Employment," DETU Working Papers 1804, Department of Economics, Temple University.
- Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023.
"Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
- Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.
- Callaway, Brantly & Sant’Anna, Pedro H.C., 2021.
"Difference-in-Differences with multiple time periods,"
Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
- Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
- Clément de Chaisemartin & Xavier D’Haultfœuille, 2023.
"Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: a survey,"
The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 1-30.
- Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2021. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Papers 2112.04565, arXiv.org, revised Jun 2022.
- Clément de Chaisemartin & Xavier D’haultfœuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Post-Print hal-03873885, HAL.
- Clément de Chaisemartin & Xavier D'Haultfoeuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," NBER Working Papers 29734, National Bureau of Economic Research, Inc.
- Clément de Chaisemartin & Xavier D'Haultfoeuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," NBER Working Papers 29691, National Bureau of Economic Research, Inc.
- Xavier d'Haultfoeuille, 2022. "Two-way fixed effects and difference in differences with heterogeneous treatment effects: A survey," French Stata Users' Group Meetings 2022 01, Stata Users Group.
- Clément de Chaisemartin & Xavier D’haultfœuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," SciencePo Working papers Main hal-03873885, HAL.
- Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
- Pauline Givord & Lionel Wilner, 2015. "When Does the Stepping‐Stone Work? Fixed‐Term Contracts Versus Temporary Agency Work in Changing Economic Conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 787-805, August.
- Michelle Marcus & Pedro H. C. Sant’Anna, 2021.
"The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics,"
Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(2), pages 235-275.
- Michelle Marcus & Pedro H. C. Sant'Anna, 2020. "The role of parallel trends in event study settings: An application to environmental economics," Papers 2009.01963, arXiv.org.
- Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013.
"Nonlinear difference-in-differences in repeated cross sections with continuous treatments,"
CeMMAP working papers
40/13, Institute for Fiscal Studies.
- Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments," Boston College Working Papers in Economics 839, Boston College Department of Economics.
- Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers CWP40/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018.
"A quantile correlated random coefficients panel data model,"
Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers CWP34/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
- Jesus M. Carro & Alejandra Traferri, 2014.
"State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
- Jesus M. Carro & Alejandra Traferri, 2011. "State Dependence and Heterogeneity in Health Using a Bias Corrected Fixed Effects Estimator," Documentos de Trabajo 402, Instituto de Economia. Pontificia Universidad Católica de Chile..
- Carro, Jesús M. & Traferri, Alejandra, 2011. "State dependence and heterogeneity in health using a bias corrected fixed effects estimator," UC3M Working papers. Economics we1118, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2016.
"Identification of panel data models with endogenous censoring,"
Journal of Econometrics, Elsevier, vol. 194(1), pages 57-75.
- Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.
- Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Identification of Panel Data Models with Endogenous Censoring," MPRA Paper 30373, University Library of Munich, Germany.
- Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Feb 2024.
- Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
- Victor Aguirregabiria, 2023.
"Dynamic demand for differentiated products with fixed-effects unobserved heterogeneity,"
The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 1-25.
- Victor Aguirregabiria, 2022. "Dynamic demand for differentiated products with fixed-effects unobserved heterogeneity," Papers 2205.03948, arXiv.org, revised Aug 2022.
- Victor Aguirregabiria, 2022. "Dynamic demand for differentiated products with fixed-effects unobserved heterogeneity," Working Papers tecipa-723, University of Toronto, Department of Economics.
- Aguirregabiria, Victor, 2022. "Dynamic demand for differentiated products with fixed effects unobserved heterogeneity," CEPR Discussion Papers 17292, C.E.P.R. Discussion Papers.
- Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2023.
"Identification analysis in models with unrestricted latent variables: Fixed effects and initial conditions,"
IFS Working Papers
WCWP20/23, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2023. "Identification analysis in models with unrestricted latent variables: Fixed effects and initial conditions," CeMMAP working papers 20/23, Institute for Fiscal Studies.
- Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
- 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.
- Cheng Hsiao & Qi Li & Zhongwen Liang & Wei Xie, 2019. "Panel Data Estimation for Correlated Random Coefficients Models," Econometrics, MDPI, vol. 7(1), pages 1-18, February.
- Benjamin Williams, 2019.
"Identification of a nonseparable model under endogeneity using binary proxies for unobserved heterogeneity,"
Quantitative Economics, Econometric Society, vol. 10(2), pages 527-563, May.
- Benjamin Williams, 2018. "Identification of a Nonseparable Model under Endogeneity using Binary Proxies for Unobserved Heterogeneity," Working Papers 2018-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Yingyao Hu & Ji‐Liang Shiu, 2018. "Identification and estimation of semi‐parametric censored dynamic panel data models of short time periods," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 55-85, February.
- Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
- Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wüthrich, 2022.
"Selection and Parallel Trends,"
CESifo Working Paper Series
9910, CESifo.
- Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
- Tymon Sloczynski, 2018.
"A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands,"
Working Papers
125, Brandeis University, Department of Economics and International Business School.
- Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
- Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
- Manuel Arellano & Stéphane Bonhomme, 2012.
"Identifying Distributional Characteristics in Random Coefficients Panel Data Models,"
Review of Economic Studies, Oxford University Press, vol. 79(3), pages 987-1020.
- Manuel Arellano & Stéphane Bonhomme, 2009. "Identifying Distributional Characteristics in Random Coefficients Panel Data Models," Working Papers wp2009_0904, CEMFI.
- Manuel Arellano & Stéphane Bonhomme, 2009. "Identifying distributional characteristics in random coefficients panel data models," CeMMAP working papers CWP22/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Cassidy, Rachel & Groot Bruinderink, Marije & Janssens, Wendy & Morsink, Karlijn, 2021.
"The power to protect: Household bargaining and female condom use,"
Journal of Development Economics, Elsevier, vol. 153(C).
- Rachel Cassidy & Marije Groot Bruinderink & Wendy Janssens & Karlijn Morsink, 2018. "The Power to Protect: Household Bargaining and Female Condom Use," CSAE Working Paper Series 2018-08, Centre for the Study of African Economies, University of Oxford.
- Rachel Cassidy & Marije Groot Bruinderink & Wendy Janssens & Karlijn Morsink, 2020. "The Power to Protect: Household Bargaining and Female Condom Use," Tinbergen Institute Discussion Papers 20-058/VI, Tinbergen Institute.
- Harding, Matthew & Lamarche, Carlos, 2019.
"A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment,"
Journal of Econometrics, Elsevier, vol. 211(1), pages 61-82.
- Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
- Dmitry Arkhangelsky & Guido W. Imbens, 2019.
"Doubly Robust Identification for Causal Panel Data Models,"
Papers
1909.09412, arXiv.org, revised Feb 2022.
- Dmitry Arkhangelsky & Guido W. Imbens, 2021. "Double-Robust Identification for Causal Panel Data Models," NBER Working Papers 28364, National Bureau of Economic Research, Inc.
- Irene Botosaru & Raffaella Giacomini & Martin Weidner, 2023. "Forecasted Treatment Effects," Papers 2309.05639, arXiv.org, revised Jan 2024.
- Ghanem, Dalia & Zhang, Junjie, 2014. "‘Effortless Perfection:’ Do Chinese cities manipulate air pollution data?," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 203-225.
- Xiao, Zhijie & Xu, Lan, 2019. "What do mean impacts miss? Distributional effects of corporate diversification," Journal of Econometrics, Elsevier, vol. 213(1), pages 92-120.
- Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2021.
"Sufficient statistics for unobserved heterogeneity in structural dynamic logit models,"
Journal of Econometrics, Elsevier, vol. 223(2), pages 280-311.
- Victor Aguirregabiria & Jiaying Gu & Yao Luo, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," Papers 1805.04048, arXiv.org.
- Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," CEPR Discussion Papers 12930, C.E.P.R. Discussion Papers.
- Victor Aguirregabiria & Jiaying Gu & Yao Luo, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," Working Papers tecipa-603, University of Toronto, Department of Economics.
- Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
- Emine Boz & Gita Gopinath & Mikkel Plagborg-Møller, 2017.
"Global Trade and the Dollar,"
NBER Working Papers
23988, National Bureau of Economic Research, Inc.
- Mikkel Plagborg-Moller & Gita Gopinath & Emine Boz, 2017. "Global Trade and the Dollar," 2017 Meeting Papers 1041, Society for Economic Dynamics.
- Ms. Emine Boz & Ms. Gita Gopinath & Mikkel Plagborg-Møller, 2017. "Global Trade and the Dollar," IMF Working Papers 2017/239, International Monetary Fund.
- Emine Boz & Gita Gopinath & Mikkel Plagborg-Møller, 2017. "Global Trade and the Dollar," Working Paper 489661, Harvard University OpenScholar.
- Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
- Bo E Honoré & Áureo de Paula, 2021.
"Identification in simple binary outcome panel data models,"
The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 78-93.
- 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.
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018.
"Network and panel quantile effects via distribution regression,"
CeMMAP working papers
CWP21/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018. "Network and panel quantile effects via distribution regression," CeMMAP working papers CWP70/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Iv'an Fern'andez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-Rank Approximations of Nonseparable Panel Models," Papers 2010.12439, arXiv.org, revised Mar 2021.
- Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
- Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020.
"On the unbiased asymptotic normality of quantile regression with fixed effects,"
Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
- 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.
- Manuel Arellano & Stéphane Bonhomme, 2016.
"Nonlinear panel data estimation via quantile regressions,"
Econometrics Journal, Royal Economic Society, vol. 19(3), pages 61-94, October.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers 40/15, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear Panel Data Estimation via Quantile Regression," Working Papers wp2015_1505, CEMFI.
- Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
- Stéphane Bonhomme & Martin Weidner, 2018.
"Minimizing sensitivity to model misspecification,"
CeMMAP working papers
CWP59/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- St'ephane Bonhomme & Martin Weidner, 2018. "Minimizing Sensitivity to Model Misspecification," Papers 1807.02161, arXiv.org, revised Oct 2021.
- Chernozhukov, Victor & Fernández-Val, Iván & Newey, Whitney K., 2019.
"Nonseparable multinomial choice models in cross-section and panel data,"
Journal of Econometrics, Elsevier, vol. 211(1), pages 104-116.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Whitney Newey, 2017. "Nonseparable Multinomial Choice Models in Cross-Section and Panel Data," Papers 1706.08418, arXiv.org, revised May 2018.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers 33/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers CWP33/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wooldridge, Jeffrey M., 2019. "Correlated random effects models with unbalanced panels," Journal of Econometrics, Elsevier, vol. 211(1), pages 137-150.
- Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2022. "Efficient Bias Correction for Cross-section and Panel Data," Papers 2207.09943, arXiv.org, revised Jan 2024.
- Stéphane Bonhomme & Martin Weidner, 2020. "Minimizing Sensitivity to Model Misspecification," CeMMAP working papers CWP37/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2021.
"Predicting individual effects in fixed effects panel probit models,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1109-1145, July.
- Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2021. "Predicting Individual Effects in Fixed Effects Panel Probit Models," SoDa Laboratories Working Paper Series 2021-05, Monash University, SoDa Laboratories.
- Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
- 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.
- 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.
- Laurent Davezies & Xavier D'Haultfœuille & Martin Mugnier, 2023.
"Fixed‐effects binary choice models with three or more periods,"
Quantitative Economics, Econometric Society, vol. 14(3), pages 1105-1132, July.
- Laurent Davezies & Xavier D'Haultfoeuille & Martin Mugnier, 2020. "Fixed Effects Binary Choice Models with Three or More Periods," Papers 2009.08108, arXiv.org, revised Sep 2022.
- Sun, Liyang & Abraham, Sarah, 2021.
"Estimating dynamic treatment effects in event studies with heterogeneous treatment effects,"
Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
- Liyang Sun & Sarah Abraham, 2018. "Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects," Papers 1804.05785, arXiv.org, revised Sep 2020.
- Gibbons Charles E. & Suárez Serrato Juan Carlos & Urbancic Michael B., 2019.
"Broken or Fixed Effects?,"
Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-12, January.
- Charles E. Gibbons & Juan Carlos Suárez Serrato & Michael B. Urbancic, 2014. "Broken or Fixed Effects?," NBER Working Papers 20342, National Bureau of Economic Research, Inc.
- Jennifer Betz & Maximilian Nagl & Daniel Rösch, 2022. "Credit line exposure at default modelling using Bayesian mixed effect quantile regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2035-2072, October.
- Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
- Paul Contoyannis & Jinhu Li, 2017. "The dynamics of adolescent depression: an instrumental variable quantile regression with fixed effects approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 907-922, June.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021.
"Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada,"
Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
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