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Nonparametric Identification in Nonseparable Panel Data Models with Generalized Fixed Effects
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Cited by:
- 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.
- Hsu, Yu-Chin & Huang, Ta-Cheng & Xu, Haiqing, 2023.
"Testing For Unobserved Heterogeneous Treatment Effects With Observational Data,"
Econometric Theory, Cambridge University Press, vol. 39(3), pages 582-622, June.
- Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
- Shiu, Ji-Liang & Hu, Yingyao, 2013.
"Identification and estimation of nonlinear dynamic panel data models with unobserved covariates,"
Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
- Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.
- 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.
- Iván Fernández-Val & Martin Weidner, 2018.
"Fixed Effects Estimation of Large-TPanel Data Models,"
Annual Review of Economics, Annual Reviews, vol. 10(1), pages 109-138, August.
- Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP42/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- Iv'an Fern'andez-Val & Martin Weidner, 2017. "Fixed Effect Estimation of Large T Panel Data Models," Papers 1709.08980, arXiv.org, revised Mar 2018.
- Irene Botosaru & Chris Muris, 2017.
"Binarization for panel models with fixed effects,"
CeMMAP working papers
31/17, Institute for Fiscal Studies.
- 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.
- 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.
- Laurent Davezies & Xavier D'Haultf{oe}uille & Louise Laage, 2021. "Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models," Papers 2105.00879, arXiv.org, revised Dec 2024.
- 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.
- Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.
- 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.
- Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Identification of Panel Data Models with Endogenous Censoring," MPRA Paper 30373, University Library of Munich, Germany.
- Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.
- Dalia Ghanem & Sarojini Hirshleifer & Karen Ortiz-Becerra, 2019.
"Testing Attrition Bias in Field Experiments,"
Working Papers
202218, University of California at Riverside, Department of Economics, revised Oct 2022.
- Ghanem, Dalia & Hirshleifer, Sarojini & Ortiz-Becerra, Karen, 2019. "Testing Attrition Bias in Field Experiments," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 291215, Agricultural and Applied Economics Association.
- Dalia Ghanem & Sarojini Hirshleifer & Karen Ortiz-Becerra, 2019. "Testing for Attrition Bias in Field Experiments," Working Papers 202010, University of California at Riverside, Department of Economics, revised Mar 2020.
- Karen Ortiz-Becerra, 2022. "Testing attrition bias in field experiments," Economics Virtual Symposium 2022 08, Stata Users Group.
- Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
- Rosen, Adam M., 2012.
"Set identification via quantile restrictions in short panels,"
Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
- Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- Musolesi Antonio & Mazzanti Massimiliano, 2014.
"Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 521-541, December.
- Mazzanti, M. & Musolesi, A., 2013. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," Working Papers 2013-08, Grenoble Applied Economics Laboratory (GAEL).
- Antonio Musolesi & Massimiliano Mazzanti, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries," Post-Print hal-01123027, HAL.
- Massimiliano Mazzanti & Antonio Musolesi, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," SEEDS Working Papers 2214, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
- Čížek, Pavel & Lei, Jinghua, 2018.
"Identification and estimation of nonseparable single-index models in panel data with correlated random effects,"
Journal of Econometrics, Elsevier, vol. 203(1), pages 113-128.
- Cizek, P. & Lei, J., 2013. "Identification and Estimation of Nonseparable Single-Index Models in Panel Data with Correlated Random Effects," Other publications TiSEM 73e394eb-6799-4c79-af23-8, Tilburg University, School of Economics and Management.
- Cizek, P. & Lei, J., 2013. "Identification and Estimation of Nonseparable Single-Index Models in Panel Data with Correlated Random Effects," Discussion Paper 2013-062, Tilburg University, Center for Economic Research.
- Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
- Gao, Yichen & Li, Cong & Liang, Zhongwen, 2015. "Binary response correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 421-434.
- Eva Schlenker & Robert Maderitsch, 2015. "Monitoring household liquidity constraints across Europe: a panel approach," International Economics and Economic Policy, Springer, vol. 12(1), pages 75-91, March.
- Stefan Hoderlein & Yuya Sasaki, 2011. "On the role of time in nonseparable panel data models," CeMMAP working papers CWP15/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- 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.
- Chen, Songnian & Wang, Xi, 2018. "Semiparametric estimation of panel data models without monotonicity or separability," Journal of Econometrics, Elsevier, vol. 206(2), pages 515-530.
- Ishihara, Takuya, 2020. "Identification and estimation of time-varying nonseparable panel data models without stayers," Journal of Econometrics, Elsevier, vol. 215(1), pages 184-208.
- D’Haultfœuille, Xavier & Hoderlein, Stefan & Sasaki, Yuya, 2023.
"Nonparametric difference-in-differences in repeated cross-sections with continuous treatments,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 664-690.
- Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2021. "Nonparametric Difference-in-Differences in Repeated Cross-Sections with Continuous Treatments," Papers 2104.14458, arXiv.org, revised May 2022.
- Cl'ement de Chaisemartin & Xavier D'Haultfoeuille & F'elix Pasquier & Doulo Sow & Gonzalo Vazquez-Bare, 2022.
"Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period,"
Papers
2201.06898, arXiv.org, revised Jul 2024.
- Clément de Chaisemartin & Xavier d'Haultfoeuille & Félix Pasquier & Gonzalo Vazquez-Bare, 2022. "Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period," SciencePo Working papers Main hal-03873926, HAL.
- Clément de Chaisemartin & Xavier d'Haultfoeuille & Félix Pasquier & Gonzalo Vazquez-Bare, 2022. "Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period," Working Papers hal-03873926, HAL.
- Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
- Shakeeb Khan & Fu Ouyang & Elie Tamer, 2019. "Inference on Semiparametric Multinomial Response Models," Boston College Working Papers in Economics 980, Boston College Department of Economics.
- Juan Rodriguez-Poo & Alexandra Soberón, 2015. "Differencing techniques in semi-parametric panel data varying coefficient models with fixed effects: a Monte Carlo study," Computational Statistics, Springer, vol. 30(3), pages 885-906, September.
- Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
- 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.
- Takuya Ishihara, 2020. "Panel Data Quantile Regression for Treatment Effect Models," Papers 2001.04324, arXiv.org, revised Nov 2021.
- Liangjun Su & Stefan Hoderlein & Halbert White, 2013. "Testing Monotonicity in Unobservables with Panel Data," Boston College Working Papers in Economics 892, Boston College Department of Economics, revised 01 Feb 2016.
- Oliver Linton & Ji-Liang Shiu, 2018.
"Semiparametric nonlinear panel data models with measurement error,"
CeMMAP working papers
CWP09/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Linton, O. & Shiu, J-L., 2019. "Semiparametric Nonlinear Panel Data Models with Measurement Error," Cambridge Working Papers in Economics 1906, Faculty of Economics, University of Cambridge.
- Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
- Evgeniy M. Ozhegov & Daria Teterina, 2018. "The Ensemble Method For Censored Demand Prediction," HSE Working papers WP BRP 200/EC/2018, National Research University Higher School of Economics.
- Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014.
"Modeling structural change in the European metropolitan areas during the process of economic integration,"
Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
- Christian Longhi & Antonio Musolesi & Catherine Baumont, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Post-Print halshs-01228053, HAL.
- 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.
- Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
- Yuya Sasaki & Takuya Ura, 2021. "Slow Movers in Panel Data," Papers 2110.12041, arXiv.org.
- Dalia Ghanem & Sarojini Hirshleifer & Karen Ortiz-Becerra, 2019.
"Testing for Attrition Bias in Field Experiments,"
Working Papers
202010, University of California at Riverside, Department of Economics, revised Mar 2020.
- Sarojini Hirshleifer & Dalia Ghanem & Karen Ortiz-Becerra, 2019. "Testing for Attrition Bias in Field Experiments," Working Papers 201919, University of California at Riverside, Department of Economics, revised Aug 2019.
- Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
- Amaresh K Tiwari, 2021. "A Control Function Approach to Estimate Panel Data Binary Response Model," Papers 2102.12927, arXiv.org, revised Sep 2021.
- Cristian Bartolucci & Mathis Wagner & Claudia Villosio, 2013. "Who Migrates and Why?," Carlo Alberto Notebooks 333, Collegio Carlo Alberto.
- Irene Botosaru & Chris Muris & Krishna Pendakur, 2020.
"Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares,"
CeMMAP working papers
CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
- Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
- Cizek, Pavel & Sadikoglu, Serhan, 2022.
"Nonseparable Panel Models with Index Structure and Correlated Random Effects,"
Other publications TiSEM
7899deb9-0eda-47e6-a3b8-2, Tilburg University, School of Economics and Management.
- Cizek, Pavel & Sadikoglu, Serhan, 2022. "Nonseparable Panel Models with Index Structure and Correlated Random Effects," Discussion Paper 2022-009, Tilburg University, Center for Economic Research.
- 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.
- Shakeeb Khan & Fu Ouyang & Elie Tamer, 2021. "Inference on semiparametric multinomial response models," Quantitative Economics, Econometric Society, vol. 12(3), pages 743-777, July.
- Laurent Davezies & Xavier D'Haultfoeuille & Louise Laage, 2021.
"Identification and Estimation of Average Marginal Effects in Fixed Effects Logit Models,"
Papers
2105.00879, arXiv.org, revised Oct 2022.
- Xavier D'Haultfoeuille, 2023. "Identification and estimation of average marginal effects in fixed-effects logit models," Economics Virtual Symposium 2023 03, Stata Users Group.
- Crane-Droesch, Andrew, 2017. "Semiparametric Panel Data Using Neural Networks," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258128, Agricultural and Applied Economics Association.
- Longhi, C. & Musolesi, A. & Baumont, C., 2013. "Modeling the industrial dynamics of the European metropolitan areas during the process of economic integration: a semiparametric approach," Working Papers 2013-10, Grenoble Applied Economics Laboratory (GAEL).
- Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.
- Hugo Freeman, 2022. "Linear multidimensional regression with interactive fixed-effects," Papers 2209.11691, arXiv.org, revised Aug 2024.
- Hubner, Stefan, 2023. "Identification of unobserved distribution factors and preferences in the collective household model," Journal of Econometrics, Elsevier, vol. 234(1), pages 301-326.