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Irregular Identification, Support Conditions, and Inverse Weight Estimation
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Xiaohong Chen & Demian Pouzo, 2015.
"Sieve Wald and QLR Inferences on Semi/Nonparametric Conditional Moment Models,"
Econometrica, Econometric Society, vol. 83(3), pages 1013-1079, May.
- Xiaohong Chen & Demian Pouzo, 2013. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," Cowles Foundation Discussion Papers 1897RR, Cowles Foundation for Research in Economics, Yale University, revised Nov 2014.
- Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," CeMMAP working papers CWP38/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Demian Pouzo, 2013. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," Cowles Foundation Discussion Papers 1897R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2014.
- Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," Papers 1411.1144, arXiv.org, revised Mar 2015.
- Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017.
"The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation,"
Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
- Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, Institute of Labor Economics (IZA).
- Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation," FSES Working Papers 454, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Heiler, Phillip & Kazak, Ekaterina, 2021. "Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores," Journal of Econometrics, Elsevier, vol. 222(2), pages 1083-1108.
- Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
- 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.
- Carlos A. Flores & Oscar A. Mitnik, 2013.
"Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies,"
The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1691-1707, December.
- Carlos A. Flores & Oscar A. Mitnik, 2011. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," Working Papers 2011-10, University of Miami, Department of Economics.
- Rothe, Christoph, 2016. "The Value of Knowing the Propensity Score for Estimating Average Treatment Effects," IZA Discussion Papers 9989, Institute of Labor Economics (IZA).
- Paolo Riccardo Morganti, 2021. "Extreme Value Theory and Auction Models," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(2), pages 1-15, Abril - J.
- Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
- Bontemps, Christian & Kumar, Rohit, 2020.
"A geometric approach to inference in set-identified entry games,"
Journal of Econometrics, Elsevier, vol. 218(2), pages 373-389.
- Bontemps, Christian & Kumar, Rohit, 2018. "A Geometric Approach to Inference in Set-Identified Entry Games," TSE Working Papers 18-943, Toulouse School of Economics (TSE), revised Mar 2019.
- Christian Bontemps & Rohit Kumar, 2020. "A Geometric Approach to Inference in Set-Identified Entry Games," Post-Print hal-02137356, HAL.
- Christian Bontemps & R. Kumar, 2020. "A Geometric Approach to Inference in Set identified Entry Games," Post-Print hal-03849554, HAL.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017.
"Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models,"
CeMMAP working papers
11/17, Institute for Fiscal Studies.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2022. "Nonparametric Identification of Random Coefficients in Endogenous and Heterogeneous Aggregate Demand Models," Papers 2201.06140, arXiv.org.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017. "Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models," CeMMAP working papers CWP11/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lewbel, Arthur & Tang, Xun, 2015.
"Identification and estimation of games with incomplete information using excluded regressors,"
Journal of Econometrics, Elsevier, vol. 189(1), pages 229-244.
- Arthur Lewbel & Xun Tang, 2012. "Identification and Estimation of Games with Incomplete Information Using Excluded Regressors," Boston College Working Papers in Economics 808, Boston College Department of Economics, revised 05 Mar 2013.
- Donald, Stephen G. & Hsu, Yu-Chin, 2014.
"Estimation and inference for distribution functions and quantile functions in treatment effect models,"
Journal of Econometrics, Elsevier, vol. 178(P3), pages 383-397.
- Stephen G. Donald & Yu-Chin Hsu, 2012. "Estimation and Inference for Distribution Functions and Quantile Functions in Treatment Effect Models," IEAS Working Paper : academic research 12-A016, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Michael Lechner & Anthony Strittmatter, 2019.
"Practical procedures to deal with common support problems in matching estimation,"
Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
- Lechner, Michael & Strittmatter, Anthony, 2014. "Practical Procedures to Deal with Common Support Problems in Matching Estimation," Economics Working Paper Series 1410, University of St. Gallen, School of Economics and Political Science.
- Lechner, Michael & Strittmatter, Anthony, 2017. "Practical Procedures to Deal with Common Support Problems in Matching Estimation," IZA Discussion Papers 10532, Institute of Labor Economics (IZA).
- Strittmatter, Anthony & Wunsch, Conny, 2021.
"The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?,"
Working papers
2021/05, Faculty of Business and Economics - University of Basel.
- Strittmatter, Anthony & Wunsch, Conny, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," IZA Discussion Papers 14128, Institute of Labor Economics (IZA).
- Anthony Strittmatter & Conny Wunsch, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Papers 2102.09207, arXiv.org, revised Feb 2021.
- Anthony Strittmatter & Conny Wunsch, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," CESifo Working Paper Series 8912, CESifo.
- Wunsch, Conny & Strittmatter, Anthony, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," CEPR Discussion Papers 15840, C.E.P.R. Discussion Papers.
- Toru Kitagawa & Chris Muris, 2013.
"Covariate selection and model averaging in semiparametric estimation of treatment effects,"
CeMMAP working papers
61/13, Institute for Fiscal Studies.
- Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP61/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- Koen Jochmans & Marc Henry & Bernard Salanié, 2017. "Inference on Two-Component Mixtures under Tail Restrictions," Post-Print hal-03945858, HAL.
- Koen Jochmans & Marc Henry & Bernard Salanié, 2017. "Inference on Two-Component Mixtures under Tail Restrictions," SciencePo Working papers Main hal-03945858, HAL.
- Marc Henry & Koen Jochmans & Bernard Salani'e, 2021. "Inference on two component mixtures under tail restrictions," Papers 2102.06232, arXiv.org.
- Marta Rubio Codina & Pierre Dubois, 2012.
"Child Care Provision: Semiparametric Evidence from a Randomized Experiment in Mexico,"
Annals of Economics and Statistics, GENES, issue 105-106, pages 155-184.
- Dubois, Pierre & Rubio-Codina, Marta, 2009. "Child Care Provision: Semiparametric Evidence from a Randomized Experiment in Mexico," CEPR Discussion Papers 7203, C.E.P.R. Discussion Papers.
- Dubois, Pierre & Rubio-Codina, Marta, 2010. "Child Care Provision: Semiparametric Evidence from a Randomized Experiment in Mexico," IDEI Working Papers 542, Institut d'Économie Industrielle (IDEI), Toulouse, revised Sep 2011.
- Dubois, Pierre & Rubio-Codina, Marta, 2010. "Child Care Provision: Semiparametric Evidence from a Randomized Experiment in Mexico," TSE Working Papers 09-016, Toulouse School of Economics (TSE).
- Yingying Dong & Arthur Lewbel, 2015.
"A Simple Estimator for Binary Choice Models with Endogenous Regressors,"
Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 82-105, February.
- Yingying Dong & Arthur Lewbel, 2004. "A Simple Estimator for Binary Choice Models with Endogenous Regressors," Boston College Working Papers in Economics 604, Boston College Department of Economics, revised 15 Jun 2012.
- Yingying Dong & Arthur Lewbel, 2012. "Simple Estimators for Binary Choice Models with Endogenous Regressors," Working Papers 111204, University of California-Irvine, Department of Economics.
- Yingying Dong & Arthur Lewbel, 2012. "A Simple Estimator for Binary Choice Models With Endogenous Regressors," Boston College Working Papers in Economics 807, Boston College Department of Economics.
- Dolton, Peter & Smith, Jeffrey A., 2011. "The Impact of the UK New Deal for Lone Parents on Benefit Receipt," IZA Discussion Papers 5491, Institute of Labor Economics (IZA).
- Jeremy Fox & Natalia Lazzati, 2013.
"Identification of discrete choice models for bundles and binary games,"
CeMMAP working papers
CWP04/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jeremy Fox & Natalia Lazzati, 2013. "Identification of discrete choice models for bundles and binary games," CeMMAP working papers 04/13, Institute for Fiscal Studies.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015.
"Quantile Regression with Panel Data,"
NBER Working Papers
21034, National Bureau of Economic Research, Inc.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers CWP12/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers 12/15, Institute for Fiscal Studies.
- Klein, Roger & Shen, Chan & Vella, Francis, 2015. "Estimation of marginal effects in semiparametric selection models with binary outcomes," Journal of Econometrics, Elsevier, vol. 185(1), pages 82-94.
- Martin Huber, 2015.
"Causal Pitfalls in the Decomposition of Wage Gaps,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
- Huber, Martin, 2014. "Causal pitfalls in the decomposition of wage gaps," Economics Working Paper Series 1405, University of St. Gallen, School of Economics and Political Science.
- KOIZUMI, Hideto, 2024. "Cascades of Tax Policy through Production Networks : Evidence from Japan," TDB-CAREE Discussion Paper Series E-2023-03, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
- Yukun Ma & Pedro H. C. Sant'Anna & Yuya Sasaki & Takuya Ura, 2023. "Doubly Robust Estimators with Weak Overlap," Papers 2304.08974, arXiv.org, revised Apr 2023.
- Pohlmeier, Winfried & Seiberlich, Ruben & Uysal, Selver Derya, 2016.
"A simple and successful shrinkage method for weighting estimators of treatment effects,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 512-525.
- Pohlmeier, Winfried & Seiberlich, Ruben & Uysal, Selver Derya, 2014. "A Simple and Successsful Shrinkage Method for Weighting Estimators of Treatment Effects," Economics Series 304, Institute for Advanced Studies.
- Christoph Rothe, 2017.
"Robust Confidence Intervals for Average Treatment Effects Under Limited Overlap,"
Econometrica, Econometric Society, vol. 85, pages 645-660, March.
- Rothe, Christoph, 2015. "Robust Confidence Intervals for Average Treatment Effects under Limited Overlap," IZA Discussion Papers 8758, Institute of Labor Economics (IZA).
- Martin Huber, 2019.
"An introduction to flexible methods for policy evaluation,"
Papers
1910.00641, arXiv.org.
- Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Martin Huber & Michael Lechner & Giovanni Mellace, 2016.
"The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
- Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "The finite sample performance of estimators for mediation analysis under sequential conditional independence," Economics Working Paper Series 1415, University of St. Gallen, School of Economics and Political Science, revised Nov 2014.
- Kitagawa, Toru & Muris, Chris, 2016.
"Model averaging in semiparametric estimation of treatment effects,"
Journal of Econometrics, Elsevier, vol. 193(1), pages 271-289.
- Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers 46/15, Institute for Fiscal Studies.
- Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sant’Anna, Pedro H.C. & Song, Xiaojun, 2019.
"Specification tests for the propensity score,"
Journal of Econometrics, Elsevier, vol. 210(2), pages 379-404.
- Pedro H. C. Sant'Anna & Xiaojun Song, 2016. "Specification Tests for the Propensity Score," Papers 1611.06217, arXiv.org, revised Feb 2019.
- Byrne, David P. & Imai, Susumu & Jain, Neelam & Sarafidis, Vasilis, 2022. "Instrument-free identification and estimation of differentiated products models using cost data," Journal of Econometrics, Elsevier, vol. 228(2), pages 278-301.
- Hoshino, Tadao, 2013. "Partial identification in binary response models with nonignorable nonresponses," Economics Letters, Elsevier, vol. 121(1), pages 74-78.
- Hoshino, Tadao & Yanagi, Takahide, 2023.
"Treatment effect models with strategic interaction in treatment decisions,"
Journal of Econometrics, Elsevier, vol. 236(2).
- Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
- 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.
- Hoderlein, Stefan & Sherman, Robert, 2015.
"Identification and estimation in a correlated random coefficients binary response model,"
Journal of Econometrics, Elsevier, vol. 188(1), pages 135-149.
- Stefan Hoderlein & Robert Sherman, 2012. "Identification And Estimation In A Correlated Random Coefficients Binary Response Model," Boston College Working Papers in Economics 837, Boston College Department of Economics.
- Stefan Hoderlein & Robert Sherman, 2012. "Identification and estimation in a correlated random coefficients binary response model," CeMMAP working papers CWP42/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Stefan Hoderlein & Robert Sherman, 2012. "Identification and estimation in a correlated random coefficients binary response model," CeMMAP working papers 42/12, Institute for Fiscal Studies.
- Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020.
"Direct and indirect effects of continuous treatments based on generalized propensity score weighting,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
- Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Plamen Nikolov & Hongjian Wang & Kevin Acker, 2020.
"Wage premium of Communist Party membership: Evidence from China,"
Pacific Economic Review, Wiley Blackwell, vol. 25(3), pages 309-338, August.
- Wang, Hongjian & Nikolov, Plamen & Acker, Kevin, 2019. "The Wage Premium of Communist Party Membership: Evidence from China," IZA Discussion Papers 12874, Institute of Labor Economics (IZA).
- Plamen Nikolov & Hongjian Wang & Kevin Acker, 2020. "The Wage Premium of Communist Party Membership: Evidence from China," Papers 2007.13549, arXiv.org.
- 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.
- 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.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015.
"Estimating Conditional Average Treatment Effects,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012. "Estimating Conditional Average Treatment Effects," CEU Working Papers 2012_16, Department of Economics, Central European University, revised 20 Jul 2012.
- Timothy B. Armstrong & Michal Kolesár, 2021.
"Finite‐Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness,"
Econometrica, Econometric Society, vol. 89(3), pages 1141-1177, May.
- Timothy B. Armstrong & Michal Koles'r, 2017. "Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Cowles Foundation Discussion Papers 2115R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2018.
- Timothy B. Armstrong & Michal Koles'r, 2017. "Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Cowles Foundation Discussion Papers 2115, Cowles Foundation for Research in Economics, Yale University.
- Timothy B. Armstrong & Michal Koles'ar, 2017. "Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Papers 1712.04594, arXiv.org, revised Jan 2021.
- Paolo Riccardo Morganti, 2021. "Extreme Value Theory and Auction Models," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(2), pages 1-15, Abril - J.
- Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
- Timothy B. Armstrong, 2014.
"Adaptive Testing on a Regression Function at a Point,"
Cowles Foundation Discussion Papers
1957R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2015.
- Timothy B. Armstrong, 2014. "Adaptive Testing on a Regression Function at a Point," Cowles Foundation Discussion Papers 1957, Cowles Foundation for Research in Economics, Yale University, revised Oct 2014.
- Arthur Lewbel, 2019.
"The Identification Zoo: Meanings of Identification in Econometrics,"
Journal of Economic Literature, American Economic Association, vol. 57(4), pages 835-903, December.
- Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2023. "Nonparametric identification of random coefficients in aggregate demand models for differentiated products," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 279-306.
- Wan, Yuanyuan & Xu, Haiqing, 2015.
"Inference in semiparametric binary response models with interval data,"
Journal of Econometrics, Elsevier, vol. 184(2), pages 347-360.
- Yuanyuan Wan & Haiqing Xu, 2013. "Inference in Semiparametric Binary Response Models with Interval Data," Working Papers tecipa-492, University of Toronto, Department of Economics.
- Chen, Xiaohong & Liao, Zhipeng, 2014. "Sieve M inference on irregular parameters," Journal of Econometrics, Elsevier, vol. 182(1), pages 70-86.
- Timothy B Armstrong & Michal Kolesár, 2018.
"A Simple Adjustment for Bandwidth Snooping,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 732-765.
- Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R3, Cowles Foundation for Research in Economics, Yale University, revised Jun 2017.
- Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2016.
- Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2015.
- Timothy B. Armstrong & Michal Kolesar, 2014. "A Simple Adjustment for Bandwidth Snooping," Cowles Foundation Discussion Papers 1961, Cowles Foundation for Research in Economics, Yale University.
- Arthur Lewbel & Krishna Pendakur, 2017.
"Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients,"
Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1100-1148.
- Arthur Lewbel & Krishna Pendakur, 2012. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Boston College Working Papers in Economics 791, Boston College Department of Economics, revised 01 Jul 2013.
- Arthur Lewbel & Krishna Pendakur, 2015. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Discussion Papers dp16-03, Department of Economics, Simon Fraser University.
- Arthur Lewbel & Krishna Pendakur, 2015. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Discussion Papers dp15-12, Department of Economics, Simon Fraser University.
- Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1614-1636.
- Fox, Jeremy T. & Kim, Kyoo il & Ryan, Stephen P. & Bajari, Patrick, 2012.
"The random coefficients logit model is identified,"
Journal of Econometrics, Elsevier, vol. 166(2), pages 204-212.
- Patrick Bajari & Jeremy Fox & Kyoo il Kim & Stephen P. Ryan, 2009. "The Random Coefficients Logit Model Is Identified," NBER Working Papers 14934, National Bureau of Economic Research, Inc.
- Robson, M.; & Doran, T.; & Cookson, R.;, 2019. "Estimating and Decomposing Conditional Average Treatment Effects: The Smoking Ban in England," Health, Econometrics and Data Group (HEDG) Working Papers 19/20, HEDG, c/o Department of Economics, University of York.
- Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2016.
"Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST),"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 288-301, April.
- Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.
- D’Haultfœuille, Xavier & Maurel, Arnaud & Zhang, Yichong, 2018.
"Extremal quantile regressions for selection models and the black–white wage gap,"
Journal of Econometrics, Elsevier, vol. 203(1), pages 129-142.
- D'Haultfoeuille, Xavier & Maurel, Arnaud & Zhang, Yichong, 2014. "Extremal Quantile Regressions for Selection Models and the Black-White Wage Gap," IZA Discussion Papers 8256, Institute of Labor Economics (IZA).
- Xavier D'Haultfoeuille & Arnaud Maurel & Yichong Zhang, 2014. "Extremal Quantile Regressions for Selection Models and the Black-White Wage Gap," NBER Working Papers 20257, National Bureau of Economic Research, Inc.
- 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.
- Arthur Lewbel, 2012. "An Overview of the Special Regressor Method," Boston College Working Papers in Economics 810, Boston College Department of Economics.
- D’Amour, Alexander & Ding, Peng & Feller, Avi & Lei, Lihua & Sekhon, Jasjeet, 2021. "Overlap in observational studies with high-dimensional covariates," Journal of Econometrics, Elsevier, vol. 221(2), pages 644-654.
- Ben Deaner & Hyejin Ku, 2024. "Causal Duration Analysis with Diff-in-Diff," Papers 2405.05220, arXiv.org.
- Phillip Heiler & Michael C. Knaus, 2021.
"Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments,"
Papers
2110.01427, arXiv.org, revised Aug 2023.
- Heiler, Phillip & Knaus, Michael C., 2022. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," IZA Discussion Papers 15580, Institute of Labor Economics (IZA).
- Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012.
"Comparing features of convenient estimators for binary choice models with endogenous regressors,"
Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 809-829, August.
- Yingying Dong & Arthur Lewbel & Thomas Tao Yang, 2012. "Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors," Boston College Working Papers in Economics 789, Boston College Department of Economics, revised 15 May 2012.
- Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2021. "Intercept Estimation in Nonlinear Selection Models," IZA Discussion Papers 14364, Institute of Labor Economics (IZA).
- Martin Huber & Anna Solovyeva, 2020.
"Direct and Indirect Effects under Sample Selection and Outcome Attrition,"
Econometrics, MDPI, vol. 8(4), pages 1-25, December.
- Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Ferman, Bruno, 2021.
"Matching estimators with few treated and many control observations,"
Journal of Econometrics, Elsevier, vol. 225(2), pages 295-307.
- Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
- Bruno Ferman, 2019. "Matching Estimators with Few Treated and Many Control Observations," Papers 1909.05093, arXiv.org, revised Mar 2021.
- Hugo Bodory & Martin Huber & Michael Lechner, 2024. "The Finite Sample Performance of Instrumental Variable-Based Estimators of the Local Average Treatment Effect When Controlling for Covariates," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2053-2078, October.
- Adeola Oyenubi, 2020. "A note on Covariate Balancing Propensity Score and Instrument-like variables," Economics Bulletin, AccessEcon, vol. 40(1), pages 202-209.
- Mogens Fosgerau & Dennis Kristensen, 2021.
"Identification of a class of index models: A topological approach,"
The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 121-133.
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