Andres Santos
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
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018.
"The wild bootstrap with a "small" number of "large" clusters,"
CeMMAP working papers
CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2019. "The Wild Bootstrap with a Small Number of Large Clusters," CeMMAP working papers CWP40/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Ampofo, Akwasi & Cheng, Terence C. & Doko Tchatoka, Firmin, 2022.
"Oil extraction and spillover effects into local labour market: Evidence from Ghana,"
Energy Economics, Elsevier, vol. 106(C).
- Akwasi Ampofo & Terence C Cheng & Firmin Doko Tchatoka, 2021. "Oil extraction and spillover effects into local labour market: Evidence from Ghana," School of Economics and Public Policy Working Papers 2021-03 Classification-O1, University of Adelaide, School of Economics and Public Policy.
- Hwang, Jungbin, 2021. "Simple and trustworthy cluster-robust GMM inference," Journal of Econometrics, Elsevier, vol. 222(2), pages 993-1023.
- James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
- Yong Cai, 2021. "A Modified Randomization Test for the Level of Clustering," Papers 2105.01008, arXiv.org, revised Jan 2022.
- Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.
- Yong Cai, 2021. "Some Finite Sample Properties of the Sign Test," Papers 2103.01412, arXiv.org, revised Feb 2024.
- Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2017.
"Using Instrumental Variables for Inference about Policy Relevant Treatment Effects,"
NBER Working Papers
23568, National Bureau of Economic Research, Inc.
Cited by:
- Patrick Kline & Christopher R. Walters, 2017.
"On Heckits, LATE, and Numerical Equivalence,"
Papers
1706.05982, arXiv.org, revised Oct 2018.
- Patrick Kline & Christopher R. Walters, 2019. "On Heckits, LATE, and Numerical Equivalence," Econometrica, Econometric Society, vol. 87(2), pages 677-696, March.
- Patrick M. Kline & Christopher R. Walters, 2018. "On Heckits, LATE, and Numerical Equivalence," NBER Working Papers 24477, National Bureau of Economic Research, Inc.
- Patrick Kline & Christopher R. Walters, 2018. "On Heckits, LATE, and Numerical Equivalence," CESifo Working Paper Series 6994, CESifo.
- Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
- Santiago Pereda Fernández, 2019.
"Identification and estimation of triangular models with a binary treatment,"
Temi di discussione (Economic working papers)
1210, Bank of Italy, Economic Research and International Relations Area.
- Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
- Han, Sukjin & Yang, Shenshen, 2024.
"A computational approach to identification of treatment effects for policy evaluation,"
Journal of Econometrics, Elsevier, vol. 240(1).
- Sukjin Han & Shenshen Yang, 2020. "A Computational Approach to Identification of Treatment Effects for Policy Evaluation," Papers 2009.13861, arXiv.org, revised Aug 2023.
- David Arnold & Will Dobbie & Crystal S Yang, 2018.
"Racial Bias in Bail Decisions,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1885-1932.
- David Arnold & Will Dobbie & Crystal S. Yang, 2017. "Racial Bias in Bail Decisions," NBER Working Papers 23421, National Bureau of Economic Research, Inc.
- David Arnold & Will Dobbie & Crystal S. Yang, 2017. "Racial Bias in Bail Decisions," Working Papers 611, Princeton University, Department of Economics, Industrial Relations Section..
- Max Tabord-Meehan, 2023.
"Stratification Trees for Adaptive Randomisation in Randomised Controlled Trials,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2646-2673.
- Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jul 2022.
- Ity Shurtz & Alon Eizenberg & Adi Alkalay & Amnon Lahad, 2022.
"Physician workload and treatment choice: the case of primary care,"
RAND Journal of Economics, RAND Corporation, vol. 53(4), pages 763-791, December.
- Eizenberg, Alon & Shurtz, Ity & Alkalay, Adi & Lahad, Amnon, 2018. "Physician workload and treatment choice: the case of primary care," CEPR Discussion Papers 13157, C.E.P.R. Discussion Papers.
- Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
- Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
- Monique De Haan & Ragnhild C. Schreiner, 2018.
"The Intergenerational Transmission of Welfare Dependency,"
CESifo Working Paper Series
7140, CESifo.
- Monique De Haan & Ragnhild C. Schreiner, 2018. "The Intergenerational Transmission of Welfare Dependency," RF Berlin - CReAM Discussion Paper Series 1810, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Timothy B. Armstrong & Michal Kolesár, 2020.
"Sensitivity Analysis using Approximate Moment Condition Models,"
Working Papers
2020-28, Princeton University. Economics Department..
- Timothy B. Armstrong & Michal Koles'ar, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Papers 1808.07387, arXiv.org, revised Jul 2020.
- Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2019.
- Timothy B. Armstrong & Michal Kolesár, 2021. "Sensitivity analysis using approximate moment condition models," Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
- Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158, Cowles Foundation for Research in Economics, Yale University.
- Amanda E. Kowalski, 2018.
"Behavior within a Clinical Trial and Implications for Mammography Guidelines,"
NBER Working Papers
25049, National Bureau of Economic Research, Inc.
- Amanda E Kowalski, 2023. "Behaviour within a Clinical Trial and Implications for Mammography Guidelines," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 432-462.
- Sokbae (Simon) Lee & Bernard Salanie, 2018.
"Identifying effects of multivalued treatments,"
CeMMAP working papers
CWP34/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae Lee & Bernard Salanié, 2018. "Identifying Effects of Multivalued Treatments," Econometrica, Econometric Society, vol. 86(6), pages 1939-1963, November.
- Salanié, Bernard, 2015. "Identifying Effects of Multivalued Treatments," CEPR Discussion Papers 10970, C.E.P.R. Discussion Papers.
- Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers 72/15, Institute for Fiscal Studies.
- Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers CWP72/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae Lee & Bernard Salani'e, 2018. "Identifying Effects of Multivalued Treatments," Papers 1805.00057, arXiv.org.
- Brigham Frandsen & Lars Lefgren & Emily Leslie, 2023.
"Judging Judge Fixed Effects,"
American Economic Review, American Economic Association, vol. 113(1), pages 253-277, January.
- Brigham R. Frandsen & Lars J. Lefgren & Emily C. Leslie, 2019. "Judging Judge Fixed Effects," NBER Working Papers 25528, National Bureau of Economic Research, Inc.
- Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Francesca Molinari, 2020.
"Microeconometrics with Partial Identi?cation,"
CeMMAP working papers
CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
- Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.
- Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018. "Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters," Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
- Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022.
"Inference on estimators defined by mathematical programming,"
Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
- Yu-Wei Hsieh & Xiaoxia Shi & Matthew Shum, 2017. "Inference on Estimators defined by Mathematical Programming," Papers 1709.09115, arXiv.org.
- Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
- Yuya Sasaki & Takuya Ura, 2018. "Estimation and Inference for Policy Relevant Treatment Effects," Papers 1805.11503, arXiv.org, revised Jul 2020.
- Matthew A. Masten & Alexandre Poirier, 2021.
"Salvaging Falsified Instrumental Variable Models,"
Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
- Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
- Patrick Kline & Christopher R. Walters, 2017.
"On Heckits, LATE, and Numerical Equivalence,"
Papers
1706.05982, arXiv.org, revised Oct 2018.
- Xiaohong Chen & Andres Santos, 2015.
"Overidentification in Regular Models,"
Cowles Foundation Discussion Papers
1999, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Andres Santos, 2018. "Overidentification in Regular Models," Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
Cited by:
- Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
- Lewbel, Arthur & Choi, Jin Young & Zhou, Zhuzhu, 2023.
"Over-identified Doubly Robust identification and estimation,"
Journal of Econometrics, Elsevier, vol. 235(1), pages 25-42.
- Arthur Lewbel & Jin-Young Choi & Zhuzhu Zhou, 2019. "Over-Identified Doubly Robust Identification and Estimation," Boston College Working Papers in Economics 1003, Boston College Department of Economics, revised 15 Jan 2022.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022.
"Locally Robust Semiparametric Estimation,"
Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers CWP31/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2018. "Locally robust semiparametric estimation," CeMMAP working papers CWP30/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers 31/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised Aug 2020.
- Juan Carlos Escanciano & Wei Li, 2018.
"Optimal Linear Instrumental Variables Approximations,"
Papers
1805.03275, arXiv.org, revised Feb 2020.
- Escanciano, Juan Carlos & Li, Wei, 2021. "Optimal Linear Instrumental Variables Approximations," Journal of Econometrics, Elsevier, vol. 221(1), pages 223-246.
- Hidehiko Ichimura & Whitney K. Newey, 2017.
"The influence function of semiparametric estimators,"
CeMMAP working papers
06/17, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2022. "The influence function of semiparametric estimators," Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.
- Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers CWP06/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers CWP44/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The Influence Function of Semiparametric Estimators," CIRJE F-Series CIRJE-F-985, CIRJE, Faculty of Economics, University of Tokyo.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers 44/15, Institute for Fiscal Studies.
- Yuehao Bai & Jizhou Liu & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "On the Efficiency of Finely Stratified Experiments," Papers 2307.15181, arXiv.org, revised Aug 2024.
- Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2018.
"On the Informativeness of Descriptive Statistics for Structural Estimates,"
NBER Working Papers
25217, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "On the Informativeness of Descriptive Statistics for Structural Estimates," Econometrica, Econometric Society, vol. 88(6), pages 2231-2258, November.
- Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "On the Informativeness of Descriptive Statistics for Structural Estimates," Working Papers 2020-06, Brown University, Department of Economics.
- Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019.
"Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
- Xiaohong Chen & Demian Pouzo & James L. Powell, 2019. "Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions," Papers 1902.10100, arXiv.org.
- Christoph Breunig, 2019. "Specification Testing in Nonparametric Instrumental Quantile Regression," Papers 1909.10129, arXiv.org.
- Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
- Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org, revised Aug 2024.
- Haitian Xie, 2020. "Efficient and Robust Estimation of the Generalized LATE Model," Papers 2001.06746, arXiv.org, revised Feb 2022.
- Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
- Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Christopher D. Walker, 2024. "Semiparametric Bayesian Inference for a Conditional Moment Equality Model," Papers 2410.16017, arXiv.org.
- 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.
- 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.
- Drew Fudenberg & Wayne Gao & Annie Liang, 2020. "How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories," Papers 2007.09213, arXiv.org, revised Aug 2023.
- Shantanu Gupta & Zachary C. Lipton & David Childers, 2020. "Estimating Treatment Effects with Observed Confounders and Mediators," Papers 2003.11991, arXiv.org, revised Jun 2021.
- Naoya Sueishi, 2022. "A Misuse of Specification Tests," Papers 2211.11915, arXiv.org.
- Isaac Meza & Rahul Singh, 2021. "Nested Nonparametric Instrumental Variable Regression: Long Term, Mediated, and Time Varying Treatment Effects," Papers 2112.14249, arXiv.org, revised Mar 2024.
- Andres Santos, 2020. "A Comment on: “On the Informativeness of Descriptive Statistics for Structural Estimates” by Isaiah Andrews, Matthew Gentzkow, and Jesse M. Shapiro," Econometrica, Econometric Society, vol. 88(6), pages 2271-2276, November.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015.
"Constrained conditional moment restriction models,"
CeMMAP working papers
CWP59/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015. "Constrained conditional moment restriction models," CeMMAP working papers 59/15, Institute for Fiscal Studies.
Cited by:
- Zheng Fang & Juwon Seo, 2021. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Econometrica, Econometric Society, vol. 89(5), pages 2439-2458, September.
- Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
- Xiaohong Chen & Yin Jia Jeff Qiu, 2016.
"Methods for Nonparametric and Semiparametric Regressions with Endogeneity: A Gentle Guide,"
Annual Review of Economics, Annual Reviews, vol. 8(1), pages 259-290, October.
- Xiaohong Chen & Yin Jia Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: a Gentle Guide," Cowles Foundation Discussion Papers 2032, Cowles Foundation for Research in Economics, Yale University.
- Chen, Qihui, 2021. "Robust and optimal estimation for partially linear instrumental variables models with partial identification," Journal of Econometrics, Elsevier, vol. 221(2), pages 368-380.
- Babii, Andrii & Kumar, Rohit, 2023.
"Isotonic regression discontinuity designs,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
- Andrii Babii & Rohit Kumar, 2019. "Isotonic Regression Discontinuity Designs," Papers 1908.05752, arXiv.org, revised Dec 2020.
- Khashayar Khosravi & Greg Lewis & Vasilis Syrgkanis, 2019. "Non-Parametric Inference Adaptive to Intrinsic Dimension," Papers 1901.03719, arXiv.org, revised Jun 2019.
- Kline, Patrick & Walters, Christopher, 2019.
"Audits as Evidence: Experiments, Ensembles, and Enforcement,"
Institute for Research on Labor and Employment, Working Paper Series
qt3z72m9kn, Institute of Industrial Relations, UC Berkeley.
- Patrick Kline & Christopher Walters, 2019. "Audits as Evidence: Experiments, Ensembles, and Enforcement," Papers 1907.06622, arXiv.org, revised Jul 2019.
- Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
- Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019.
"Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
- Xiaohong Chen & Demian Pouzo & James L. Powell, 2019. "Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions," Papers 1902.10100, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2017.
"Nonparametric instrumental variable estimation under monotonicity,"
CeMMAP working papers
CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP39/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," Papers 1507.05270, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP48/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Isaac Loh, 2024. "Inference under partial identification with minimax test statistics," Papers 2401.13057, arXiv.org, revised Apr 2024.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016.
"Conditional quantile processes based on series or many regressors,"
CeMMAP working papers
46/16, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val, 2011. "Conditional quantile processes based on series or many regressors," CeMMAP working papers CWP19/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers CWP46/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván, 2019. "Conditional quantile processes based on series or many regressors," Journal of Econometrics, Elsevier, vol. 213(1), pages 4-29.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Iv'an Fern'andez-Val, 2011. "Conditional Quantile Processes based on Series or Many Regressors," Papers 1105.6154, arXiv.org, revised Aug 2018.
- Zheng Fang & Andres Santos & Azeem M. Shaikh & Alexander Torgovitsky, 2020.
"Inference for Large-Scale Linear Systems with Known Coefficients,"
Papers
2009.08568, arXiv.org, revised Sep 2021.
- Zheng Fang & Andres Santos & Azeem M. Shaikh & Alexander Torgovitsky, 2023. "Inference for Large‐Scale Linear Systems With Known Coefficients," Econometrica, Econometric Society, vol. 91(1), pages 299-327, January.
- Zheng Fang & Andres Santos & Azeem Shaikh & Alexander Torgovitsky, 2020. "Inference for Large-Scale Linear Systems with Known Coefficients," Working Papers 2020-134, Becker Friedman Institute for Research In Economics.
- Lee, Y-Y. & Bhattacharya, D., 2018.
"Applied Welfare Analysis for Discrete Choice with Interval-data on Income,"
Cambridge Working Papers in Economics
1882, Faculty of Economics, University of Cambridge.
- Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
- Christoph Breunig & Xiaohong Chen, 2020. "Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models," Cowles Foundation Discussion Papers 2238R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
- Zheng Fang, 2021. "A Unifying Framework for Testing Shape Restrictions," Papers 2107.12494, arXiv.org, revised Aug 2021.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023.
"Inference for Linear Conditional Moment Inequalities,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," Papers 1909.10062, arXiv.org, revised Dec 2022.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
- Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2020.
"A Random Attention Model,"
Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2796-2836.
- Cattaneo, Matias D & Ma, Xinwei & Masatlioglu, Yusufcan & Suleymanov, Elchin, 2020. "A Random Attention Model," University of California at San Diego, Economics Working Paper Series qt34m788c3, Department of Economics, UC San Diego.
- Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2017. "A Random Attention Model," Papers 1712.03448, arXiv.org, revised Aug 2019.
- Christoph Breunig & Xiaohong Chen, 2020. "Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models," Papers 2006.09587, arXiv.org, revised Nov 2024.
- Patrick Kline & Christopher Walters, 2021.
"Reasonable Doubt: Experimental Detection of Job‐Level Employment Discrimination,"
Econometrica, Econometric Society, vol. 89(2), pages 765-792, March.
- Patrick M. Kline & Christopher R. Walters, 2020. "Reasonable Doubt: Experimental Detection of Job-Level Employment Discrimination," NBER Working Papers 26861, National Bureau of Economic Research, Inc.
- Ivan Korolev, 2018. "A Consistent Heteroskedasticity Robust LM Type Specification Test for Semiparametric Models," Papers 1810.07620, arXiv.org, revised Nov 2019.
- Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
- Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.
- Giovanni Compiani, 2022. "Market counterfactuals and the specification of multiproduct demand: A nonparametric approach," Quantitative Economics, Econometric Society, vol. 13(2), pages 545-591, May.
- David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Simultaneous Inference for Local Structural Parameters with Random Forests," Papers 2405.07860, arXiv.org, revised Sep 2024.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2012.
"On the testability of identification in some nonparametric models with endogeneity,"
CeMMAP working papers
CWP18/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2013. "On the Testability of Identification in Some Nonparametric Models With Endogeneity," Econometrica, Econometric Society, vol. 81(6), pages 2535-2559, November.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2012. "On the testability of identification in some nonparametric models with endogeneity," CeMMAP working papers 18/12, Institute for Fiscal Studies.
Cited by:
- Cui, Liyuan & Hong, Yongmiao & Li, Yingxing, 2021. "Solving Euler equations via two-stage nonparametric penalized splines," Journal of Econometrics, Elsevier, vol. 222(2), pages 1024-1056.
- Xiaohong Chen & Andres Santos, 2015.
"Overidentification in Regular Models,"
Cowles Foundation Discussion Papers
1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Andres Santos, 2018. "Overidentification in Regular Models," Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
- Rodrigo Adao & Arnaud Costinot & Dave Donaldson, 2017.
"Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade,"
American Economic Review, American Economic Association, vol. 107(3), pages 633-689, March.
- Rodrigo Adao & Arnaud Costinot & Dave Donaldson, 2015. "Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade," NBER Working Papers 21401, National Bureau of Economic Research, Inc.
- Babii, Andrii, 2020.
"Honest Confidence Sets In Nonparametric Iv Regression And Other Ill-Posed Models,"
Econometric Theory, Cambridge University Press, vol. 36(4), pages 658-706, August.
- Andrii Babii, 2016. "Honest Confidence Sets in Nonparametric IV Regression and Other Ill-Posed Models," Papers 1611.03015, arXiv.org, revised Dec 2020.
- Babii, Andrii, 2017. "Honest confidence sets in nonparametric IV regression and other ill-posed models," TSE Working Papers 17-803, Toulouse School of Economics (TSE).
- Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers CWP37/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Centorrino Samuele & Feve Frederique & Florens Jean-Pierre, 2017.
"Additive Nonparametric Instrumental Regressions: A Guide to Implementation,"
Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-25, January.
- Samuele Centorrino & Frederique Feve & Jean-Pierre Florens, 2017. "Additive Nonparametric Instrumental Regressions: A Guide to Implementation," Department of Economics Working Papers 17-06, Stony Brook University, Department of Economics.
- Laurent Davezies & Thomas Le Barbanchon, 2014.
"Regression Discontinuity Design with Continuous Measurement Error in the Running Variable,"
Working Papers
2014-27, Center for Research in Economics and Statistics.
- Davezies, Laurent & Le Barbanchon, Thomas, 2017. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," IZA Discussion Papers 10801, Institute of Labor Economics (IZA).
- Davezies, Laurent & Le Barbanchon, Thomas, 2017. "Regression discontinuity design with continuous measurement error in the running variable," Journal of Econometrics, Elsevier, vol. 200(2), pages 260-281.
- Le Barbanchon, Thomas & Davezies, Laurent, 2017. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," CEPR Discussion Papers 11775, C.E.P.R. Discussion Papers.
- Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019.
"Nonparametric Estimates of Demand in the California Health Insurance Exchange,"
NBER Working Papers
25827, National Bureau of Economic Research, Inc.
- Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2023. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," Econometrica, Econometric Society, vol. 91(1), pages 107-146, January.
- Yu Zhu, 2020. "Inference in nonparametric/semiparametric moment equality models with shape restrictions," Quantitative Economics, Econometric Society, vol. 11(2), pages 609-636, May.
- Chen, Qihui, 2021. "Robust and optimal estimation for partially linear instrumental variables models with partial identification," Journal of Econometrics, Elsevier, vol. 221(2), pages 368-380.
- Manuel Arellano & Stéphane Bonhomme, 2016.
"Nonlinear panel data methods for dynamic heterogeneous agent models,"
CeMMAP working papers
51/16, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers CWP51/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 471-496, September.
- Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Working Papers wp2017_1703, CEMFI.
- Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Working Papers wp2016_1607, CEMFI.
- Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
- Juan Carlos Escanciano & Wei Li, 2018.
"Optimal Linear Instrumental Variables Approximations,"
Papers
1805.03275, arXiv.org, revised Feb 2020.
- Escanciano, Juan Carlos & Li, Wei, 2021. "Optimal Linear Instrumental Variables Approximations," Journal of Econometrics, Elsevier, vol. 221(1), pages 223-246.
- Hu, Yingyao & Schennach, Susanne & Shiu, Ji-Liang, 2022. "Identification of nonparametric monotonic regression models with continuous nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 226(2), pages 269-294.
- Hidehiko Ichimura & Whitney K. Newey, 2017.
"The influence function of semiparametric estimators,"
CeMMAP working papers
06/17, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2022. "The influence function of semiparametric estimators," Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.
- Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers CWP06/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers CWP44/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The Influence Function of Semiparametric Estimators," CIRJE F-Series CIRJE-F-985, CIRJE, Faculty of Economics, University of Tokyo.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers 44/15, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019.
"Testing for the presence of measurement error,"
CeMMAP working papers
CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
- Bertanha, Marinho & Moreira, Marcelo J., 2020.
"Impossible inference in econometrics: Theory and applications,"
Journal of Econometrics, Elsevier, vol. 218(2), pages 247-270.
- Marinho Bertanha & Marcelo J. Moreira, 2016. "Impossible Inference in Econometrics: Theory and Applications," Papers 1612.02024, arXiv.org, revised Feb 2020.
- Marinho Bertanha & Marcelo Moreira, 2019. "Impossible inference in econometrics: theory and applications," CeMMAP working papers CWP02/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jason R. Blevins & Wei Shi & Donald R. Haurin & Stephanie Moulton, 2020. "A Dynamic Discrete Choice Model Of Reverse Mortgage Borrower Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1437-1477, November.
- Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015.
"Constrained conditional moment restriction models,"
CeMMAP working papers
59/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015. "Constrained conditional moment restriction models," CeMMAP working papers CWP59/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
- Takahiro Hoshino & Keisuke Takahata, 2018. "Identification of heterogeneous treatment effects as a function of potential untreated outcome under the nonignorable assignment condition," Keio-IES Discussion Paper Series 2018-005, Institute for Economics Studies, Keio University.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, 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 regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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 Regression," Working Papers wp2015_1505, CEMFI.
- Marek Jarocinski & Albert Marcet, 2013.
"Priors about Observables in Vector Autoregressions,"
UFAE and IAE Working Papers
929.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
- Jarociński, Marek & Marcet, Albert, 2019. "Priors about observables in vector autoregressions," Journal of Econometrics, Elsevier, vol. 209(2), pages 238-255.
- Marek Jarocinski & Albert Marcet, 2013. "Priors about Observables in Vector Autoregressions," Working Papers 684, Barcelona School of Economics.
- S. Centorrino & J. S. Racine, 2016.
"Semiparametric Varying Coefficient Models with Endogenous Covariates,"
Department of Economics Working Papers
2016-02, McMaster University.
- Samuele CENTORRINO & Jeffrey S. RACINE, 2017. "Semiparametric Varying Coefficient Models with Endogenous Covariates," Annals of Economics and Statistics, GENES, issue 128, pages 261-295.
- Denis Chetverikov & Daniel Wilhelm, 2017.
"Nonparametric instrumental variable estimation under monotonicity,"
CeMMAP working papers
CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP39/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," Papers 1507.05270, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP48/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
- Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers CWP15/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Loh, Isaac, 2023. "Genericity of the completeness condition with constrained instruments," Economics Letters, Elsevier, vol. 224(C).
- Rodrigo Adao & Costas Arkolakis & Sharat Ganapati, 2020.
"Aggregate Implications of Firm Heterogeneity: A Nonparametric Analysis of Monopolistic Competition Trade Models,"
Cowles Foundation Discussion Papers
2265, Cowles Foundation for Research in Economics, Yale University.
- Adao, Rodrigo & Arkolakis, Konstantinos & Ganapati, Sharat, 2020. "Aggregate Implications of Firm Heterogeneity: A Nonparametric Analysis of Monopolistic Competition Trade Models," Conference papers 333181, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
- Rodrigo Adão & Costas Arkolakis & Sharat Ganapati, 2020. "Aggregate Implications of Firm Heterogeneity: A Nonparametric Analysis of Monopolistic Competition Trade Models," Working Papers 2020-161, Becker Friedman Institute for Research In Economics.
- Andrew Chesher & Adam Rosen, 2014.
"Generalized instrumental variable models,"
CeMMAP working papers
04/14, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers 43/13, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers CWP04/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrew Chesher & Adam M. Rosen, 2017. "Generalized Instrumental Variable Models," Econometrica, Econometric Society, vol. 85, pages 959-989, May.
- Krief, Jerome M., 2017. "Direct instrumental nonparametric estimation of inverse regression functions," Journal of Econometrics, Elsevier, vol. 201(1), pages 95-107.
- Nail Kashaev, 2022.
"Identification and Estimation of Multinomial Choice Models with Latent Special Covariates,"
University of Western Ontario, Departmental Research Report Series
20224, University of Western Ontario, Department of Economics.
- Nail Kashaev, 2018. "Identification and estimation of multinomial choice models with latent special covariates," Papers 1811.05555, arXiv.org, revised Mar 2022.
- Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 31/13, Institute for Fiscal Studies.
- Andrews, Donald W.K., 2017.
"Examples of L2-complete and boundedly-complete distributions,"
Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
- Donald W.K. Andrews, 2011. "Examples of L^2-Complete and Boundedly-Complete Distributions," Cowles Foundation Discussion Papers 1801, Cowles Foundation for Research in Economics, Yale University.
- Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers 37/13, Institute for Fiscal Studies.
- Caetano, Carolina & Rothe, Christoph & Yıldız, Neşe, 2016. "A discontinuity test for identification in triangular nonseparable models," Journal of Econometrics, Elsevier, vol. 193(1), pages 113-122.
- Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.
- Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2022. "Inference on Strongly Identified Functionals of Weakly Identified Functions," Papers 2208.08291, arXiv.org, revised Jun 2023.
- Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
- Patrick Kline & Enrico Moretti, 2013.
"Local Economic Development, Agglomeration Economies and the Big Push: 100 Years of Evidence from the Tennessee Valley Authority,"
Working Paper series
43_13, Rimini Centre for Economic Analysis.
- Patrick M. Kline & Enrico Moretti, 2013. "Local Economic Development, Agglomeration Economies, and the Big Push: 100 Years of Evidence from the Tennessee Valley Authority," NBER Working Papers 19293, National Bureau of Economic Research, Inc.
- Enrico Moretti, 2014. "Local Economic Development, Agglomeration Economies, and the Big Push: 100 Years of Evidence from the Tennessee Valley Authority," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 275-331.
- Moretti, Enrico & Kline, Patrick, 2013. "Local Economic Development, Agglomeration Economies, and the Big Push: 100 Years of Evidence from the Tennessee Valley Authorit," CEPR Discussion Papers 9593, C.E.P.R. Discussion Papers.
- Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers CWP31/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Robust inference in deconvolution," Quantitative Economics, Econometric Society, vol. 12(1), pages 109-142, January.
- Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
- Yilin Li & Wang Miao & Ilya Shpitser & Eric J. Tchetgen Tchetgen, 2023. "A self‐censoring model for multivariate nonignorable nonmonotone missing data," Biometrics, The International Biometric Society, vol. 79(4), pages 3203-3214, December.
- Wang, Ao, 2021. "A BLP Demand Model of Product-Level Market Shares with Complementarity," The Warwick Economics Research Paper Series (TWERPS) 1351, University of Warwick, Department of Economics.
- Matthew A. Masten & Alexandre Poirier, 2021.
"Salvaging Falsified Instrumental Variable Models,"
Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
- Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
- Christoph Breunig & Peter Haan, 2018. "Nonparametric Regression with Selectively Missing Covariates," Papers 1810.00411, arXiv.org, revised Oct 2020.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 39/15, Institute for Fiscal Studies.
- 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.
- Hu, Yingyao & Yao, Jiaxiong, 2022. "Illuminating economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 359-378.
- Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 15/12, Institute for Fiscal Studies.
- Patrick M. Kline & Andres Santos, 2011.
"Higher Order Properties of the Wild Bootstrap Under Misspecification,"
NBER Working Papers
16793, National Bureau of Economic Research, Inc.
- Kline, Patrick & Santos, Andres, 2012. "Higher order properties of the wild bootstrap under misspecification," Journal of Econometrics, Elsevier, vol. 171(1), pages 54-70.
Cited by:
- Taisuke Otsu & Yoshiyasu Rai, 2017.
"Bootstrap Inference of Matching Estimators for Average Treatment Effects,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1720-1732, October.
- Taisuke Otsu & Yoshiyasu Rai, 2015. "Bootstrap inference of matching estimators for average treatment effects," STICERD - Econometrics Paper Series /2015/580, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Cattaneo, Matias D & Jansson, Michael & Newey, Whitney K, 2018.
"Inference in Linear Regression Models with Many Covariates and Heteroscedasticity,"
Department of Economics, Working Paper Series
qt6rp7p9gs, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Matias Cattaneo & Michael Jansson & Whitney K. Newey, 2017. "Inference in linear regression models with many covariates and heteroskedasticity," CeMMAP working papers 03/17, Institute for Fiscal Studies.
- Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Inference in Linear Regression Models with Many Covariates and Heteroskedasticity," Papers 1507.02493, arXiv.org, revised Jan 2017.
- Matias Cattaneo & Michael Jansson & Whitney K. Newey, 2017. "Inference in linear regression models with many covariates and heteroskedasticity," CeMMAP working papers CWP03/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2018. "Inference in Linear Regression Models with Many Covariates and Heteroscedasticity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1350-1361, July.
- Richard, Patrick, 2017. "Robust heteroskedasticity-robust tests," Economics Letters, Elsevier, vol. 159(C), pages 28-32.
- Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression," Papers 1808.01398, arXiv.org, revised Jul 2021.
- Kline Patrick & Santos Andres, 2012.
"A Score Based Approach to Wild Bootstrap Inference,"
Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 23-41, August.
- Patrick M. Kline & Andres Santos, 2010. "A Score Based Approach to Wild Bootstrap Inference," NBER Working Papers 16127, National Bureau of Economic Research, Inc.
- Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018.
"On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
- Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2015. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Papers 1508.02973, arXiv.org, revised Mar 2018.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019.
"Two-Step Estimation and Inference with Possibly Many Included Covariates,"
University of California at San Diego, Economics Working Paper Series
qt86c7x315, Department of Economics, UC San Diego.
- Matias D Cattaneo & Michael Jansson & Xinwei Ma, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1095-1122.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Department of Economics, Working Paper Series qt86c7x315, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Papers 1807.10100, arXiv.org.
- Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
- Seojeong Lee, 2013.
"Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators,"
Discussion Papers
2013-09, School of Economics, The University of New South Wales.
- Lee, Seojeong, 2014. "Asymptotic refinements of a misspecification-robust bootstrap for generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 178(P3), pages 398-413.
- Seojeong Lee, 2018. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Papers 1806.01450, arXiv.org.
- Lavergne, Pascal & Bertail, Patrice, 2020. "Bootstrapping Quasi Likelihood Ratio Tests under Misspecification," TSE Working Papers 20-1102, Toulouse School of Economics (TSE).
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019.
"Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors,"
CREATES Research Papers
2019-05, Department of Economics and Business Economics, Aarhus University.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- Hershbein Brad J., 2012. "Graduating High School in a Recession: Work, Education, and Home Production," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-32, January.
- Spokoiny, Vladimir & Zhilova, Mayya, 2014. "Bootstrap confidence sets under model misspecification," SFB 649 Discussion Papers 2014-067, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Patrick Kline & Andres Santos, 2010.
"Sensitivity to Missing Data Assumptions: Theory and An Evaluation of the U.S. Wage Structure,"
NBER Working Papers
15716, National Bureau of Economic Research, Inc.
- Patrick Kline & Andres Santos, 2013. "Sensitivity to missing data assumptions: Theory and an evaluation of the U.S. wage structure," Quantitative Economics, Econometric Society, vol. 4(2), pages 231-267, July.
Cited by:
- Brantly Callaway, 2020.
"Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement,"
Papers
2008.08117, arXiv.org.
- Callaway, Brantly, 2021. "Bounds on distributional treatment effect parameters using panel data with an application on job displacement," Journal of Econometrics, Elsevier, vol. 222(2), pages 861-881.
- 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 Attrition Bias in Field Experiments," Working Papers 202218, University of California at Riverside, Department of Economics, revised Oct 2022.
- Karen Ortiz-Becerra, 2022. "Testing attrition bias in field experiments," Economics Virtual Symposium 2022 08, Stata Users Group.
- 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.
- 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.
- 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.
- 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.
- Matthew Masten & Alexandre Poirier, 2017.
"Inference on breakdown frontiers,"
CeMMAP working papers
20/17, Institute for Fiscal Studies.
- Matthew Masten & Alexandre Poirier, 2017. "Inference on breakdown frontiers," CeMMAP working papers CWP20/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Matthew A. Masten & Alexandre Poirier, 2017. "Inference on Breakdown Frontiers," Papers 1705.04765, arXiv.org, revised Feb 2019.
- Matthew A. Masten & Alexandre Poirier, 2020. "Inference on breakdown frontiers," Quantitative Economics, Econometric Society, vol. 11(1), pages 41-111, January.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012.
"Inference on counterfactual distributions,"
CeMMAP working papers
05/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on Counterfactual Distributions," Papers 0904.0951, arXiv.org, revised Sep 2013.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers CWP17/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers CWP09/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers 09/09, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2008. "Inference On Counterfactual Distributions," Boston University - Department of Economics - Working Papers Series wp2008-005, Boston University - Department of Economics.
- Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers CWP05/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers 17/13, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2017.
"Quantile Selection Models With an Application to Understanding Changes in Wage Inequality,"
Econometrica, Econometric Society, vol. 85, pages 1-28, January.
- Manuel Arellano & Stéphane Bonhomme, 2016. "Quantile Selection Models with an Application to Understanding Changes in Wage Inequality," Working Papers wp2016_1610, CEMFI.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Quantile selection models: with an application to understanding changes in wage inequality," CeMMAP working papers CWP75/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Quantile selection models: with an application to understanding changes in wage inequality," CeMMAP working papers 75/15, Institute for Fiscal Studies.
- Manski, Charles F., 2016. "Credible interval estimates for official statistics with survey nonresponse," Journal of Econometrics, Elsevier, vol. 191(2), pages 293-301.
- David Card & Jörg Heining & Patrick Kline, 2013.
"Workplace Heterogeneity and the Rise of West German Wage Inequality,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
- Card, David & Heining, Jörg & Kline, Patrick, 2012. "Workplace heterogeneity and the rise of West German wage inequality," IAB-Discussion Paper 201226, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- David Card & Jörg Heining & Patrick Kline, 2012. "Workplace Heterogeneity and the Rise of West German Wage Inequality," NBER Working Papers 18522, National Bureau of Economic Research, Inc.
- Card, David & Heining, Jörg & Kline, Patrick, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," IZA Discussion Papers 7200, Institute of Labor Economics (IZA).
- Heining, Jörg & Card, David & Kline, Patrick, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80034, Verein für Socialpolitik / German Economic Association.
- Melvin Stephens, Jr. & Takashi Unayama, 2015.
"Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data,"
NBER Working Papers
21248, National Bureau of Economic Research, Inc.
- Melvin Stephens & Takashi Unayama, 2019. "Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 468-475, July.
- Ivan A. Canay & Azeem M. Shaikh, 2016.
"Practical and theoretical advances in inference for partially identified models,"
CeMMAP working papers
CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers 05/16, Institute for Fiscal Studies.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012.
"Inference for best linear approximations to set identified functions,"
CeMMAP working papers
CWP43/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012. "Inference for best linear approximations to set identified functions," CeMMAP working papers 43/12, Institute for Fiscal Studies.
- Fan, Yanqin & Liu, Ruixuan, 2018. "Partial identification and inference in censored quantile regression," Journal of Econometrics, Elsevier, vol. 206(1), pages 1-38.
- Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014.
"Where is the Land of Opportunity? The Geography of Intergenerational Mobility in the United States,"
NBER Working Papers
19843, National Bureau of Economic Research, Inc.
- Chetty, Nadarajan & Hendren, Nathaniel & Kline, Patrick & Saez, Emmanuel, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," Scholarly Articles 30750027, Harvard University Department of Economics.
- Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
- Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
- Battistin, Erich & Chesher, Andrew, 2014.
"Treatment effect estimation with covariate measurement error,"
Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
- Erich Battistin & Andrew Chesher, 2009. "Treatment effect estimation with covariate measurement error," CeMMAP working papers CWP25/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- 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.
- Breunig, Christoph & Kummer, Michael & Ohnemus, Jörg & Viete, Steffen, 2016. "IT outsourcing and firm productivity: Eliminating bias from selective missingness in the dependent variable," ZEW Discussion Papers 16-092, ZEW - Leibniz Centre for European Economic Research.
- Juan Carlos Escanciano & Lin Zhu, 2013.
"Set inferences and sensitivity analysis in semiparametric conditionally identified models,"
CeMMAP working papers
55/13, Institute for Fiscal Studies.
- Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers CWP55/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lee, Y-Y. & Bhattacharya, D., 2018.
"Applied Welfare Analysis for Discrete Choice with Interval-data on Income,"
Cambridge Working Papers in Economics
1882, Faculty of Economics, University of Cambridge.
- Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
- Breunig, Christoph, 2017. "Testing missing at random using instrumental variables," SFB 649 Discussion Papers 2017-007, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- 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.
- Julian Martinez-Iriarte, 2023. "Sensitivity Analysis in Unconditional Quantile Effects," Papers 2303.14298, arXiv.org, revised Jun 2024.
- Matthew Masten & Alexandre Poirier, 2016.
"Partial independence in nonseparable models,"
CeMMAP working papers
26/16, Institute for Fiscal Studies.
- Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers CWP26/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019.
"Best linear approximations to set identified functions: with an application to the gender wage gap,"
CeMMAP working papers
09/19, Institute for Fiscal Studies.
- Arun G. Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019. "Best Linear Approximations to Set Identified Functions: With an Application to the Gender Wage Gap," NBER Working Papers 25593, National Bureau of Economic Research, Inc.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019. "Best linear approximations to set identified functions: with an application to the gender wage gap," CeMMAP working papers CWP09/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.
- Breunig, Christoph, 2017. "Testing Missing At Random Using Instrumental Variables," Rationality and Competition Discussion Paper Series 59, CRC TRR 190 Rationality and Competition.
- Klee, Mark A. & Chenevert, Rebecca L. & Wilkin, Kelly R., 2019. "Revisiting the shape of earnings nonresponse," Economics Letters, Elsevier, vol. 184(C).
- Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
- Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
- Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
- Daniel Ober-Reynolds, 2024. "Robustness to Missing Data: Breakdown Point Analysis," Papers 2406.06804, arXiv.org.
- Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020.
"Transparency in Structural Research,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 711-722, October.
- Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "Transparency in Structural Research," NBER Working Papers 26631, National Bureau of Economic Research, Inc.
- Rami V. Tabri & Mathew J. Elias, 2024. "Testing for Restricted Stochastic Dominance under Survey Nonresponse with Panel Data: Theory and an Evaluation of Poverty in Australia," Papers 2406.15702, arXiv.org.
- Ilić, Ivana, 2012. "On tail index estimation using a sample with missing observations," Statistics & Probability Letters, Elsevier, vol. 82(5), pages 949-958.
- Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.
- Breunig, Christoph, 2015. "Testing missing at random using instrumental variables," SFB 649 Discussion Papers 2015-016, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Bollinger, Christopher R. & Hirsch, Barry & Hokayem, Charles M. & Ziliak, James P., 2018. "Trouble in the Tails? What We Know about Earnings Nonresponse Thirty Years after Lillard, Smith, and Welch," IZA Discussion Papers 11710, Institute of Labor Economics (IZA).
- Patrick M. Kline & Andres Santos, 2010.
"A Score Based Approach to Wild Bootstrap Inference,"
NBER Working Papers
16127, National Bureau of Economic Research, Inc.
- Kline Patrick & Santos Andres, 2012. "A Score Based Approach to Wild Bootstrap Inference," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 23-41, August.
Cited by:
- Hiroaki Kaido, 2014.
"Asymptotically efficient estimation of weighted average derivatives with an interval censored variable,"
CeMMAP working papers
03/14, Institute for Fiscal Studies.
- Hiroaki Kaido, 2013. "Asymptotically Efficient Estimation of Weighted Average Derivatives with an Inverval Censored Variable," Boston University - Department of Economics - Working Papers Series 2013-022, Boston University - Department of Economics.
- Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers CWP03/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kaido, Hiroaki, 2017. "Asymptotically Efficient Estimation Of Weighted Average Derivatives With An Interval Censored Variable," Econometric Theory, Cambridge University Press, vol. 33(5), pages 1218-1241, October.
- Gary Charness & Ramón Cobo-Reyes & Erik Eyster & Gabriel Katz & Ángela Sánchez & Matthias Sutter, 2020.
"Improving healthy eating in children: Experimental evidence,"
Discussion Paper Series of the Max Planck Institute for Research on Collective Goods
2021_01, Max Planck Institute for Research on Collective Goods.
- Charness, Gary & Cobo-Reyes, Ramón & Eyster, Erik & Katz, Gabriel & Sánchez, Ángela & Sutter, Matthias, 2020. "Improving Healthy Eating in Children: Experimental Evidence," IZA Discussion Papers 13999, Institute of Labor Economics (IZA).
- Gary Charness & Ramón Cobo-Reyes & Erik Eyster & Gabriel Katz & Ángela Sánchez & Matthias Sutter, 2020. "Improving healthy eating in children: Experimental evidence," ECONtribute Discussion Papers Series 047, University of Bonn and University of Cologne, Germany.
- Marcela Ibanez & Sebastian O. Schneider, 2023. "Income Risk, Precautionary Saving, and Loss Aversion – An Empirical Test," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2023_06, Max Planck Institute for Research on Collective Goods.
- Pedro H. C. Sant'Anna & Jun B. Zhao, 2018.
"Doubly Robust Difference-in-Differences Estimators,"
Papers
1812.01723, arXiv.org, revised May 2020.
- Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024.
"Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models,"
Working Paper
1515, Economics Department, Queen's University.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for binary response models," Papers 2406.00650, arXiv.org.
- Todtenhaupt, Maximilian & Voget, Johannes & Feld, Lars P. & Ruf, Martin & Schreiber, Ulrich, 2020.
"Taxing away M&A: Capital gains taxation and acquisition activity,"
Munich Reprints in Economics
84733, University of Munich, Department of Economics.
- Todtenhaupt, Maximilian & Voget, Johannes & Feld, Lars P. & Ruf, Martin & Schreiber, Ulrich, 2020. "Taxing away M&A: Capital gains taxation and acquisition activity," European Economic Review, Elsevier, vol. 128(C).
- 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.
- Kumar, Rahul & Maity, Bipasha, 2022.
"Cultural norms and women’s health: Implications of the practice of menstrual restrictions in Nepal,"
World Development Perspectives, Elsevier, vol. 27(C).
- Kumar, Rahul & Maity, Bipasha, 2021. "Cultural Norms and Women's Health: Implications of the Practice of Menstrual Restrictions in Nepal," GLO Discussion Paper Series 907, Global Labor Organization (GLO).
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016.
"Program evaluation and causal inference with high-dimensional data,"
CeMMAP working papers
13/16, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fern'andez-Val & Christian Hansen, 2013. "Program Evaluation and Causal Inference with High-Dimensional Data," Papers 1311.2645, arXiv.org, revised Jan 2018.
- A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen, 2017. "Program Evaluation and Causal Inference With High‐Dimensional Data," Econometrica, Econometric Society, vol. 85, pages 233-298, January.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers CWP13/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Backes-Gellner, Uschi & Herz, Holger & Kosfeld, Michael & Oswald, Yvonne, 2018.
"Do Preferences and Biases Predict Life Outcomes? Evidence from Education and Labor Market Entry Decisions,"
IZA Discussion Papers
11288, Institute of Labor Economics (IZA).
- Backes-Gellner, Uschi & Herz, Holger & Kosfeld, Michael & Oswald, Yvonne, 2021. "Do preferences and biases predict life outcomes? Evidence from education and labor market entry decisions," European Economic Review, Elsevier, vol. 134(C).
- Uschi Backes-Gellner & Holger Herz & Michael Kosfeld & Yvonne Oswald, 2018. "Do Preferences and Biases Predict Life Outcomes? Evidence from Education and Labor Market Entry Decisions," CESifo Working Paper Series 6863, CESifo.
- Kosfeld, Michael & Herz, Holger & Oswald, Yvonne & Backes-Gellner, Uschi, 2018. "Do Preferences and Biases predict Life Outcomes? Evidence from Education and Labor Market Entry Decisions," CEPR Discussion Papers 12609, C.E.P.R. Discussion Papers.
- Uschi Backes-Gellner & Holger Herz & Michael Kosfeld & Yvonne Oswald, 2018. "Do Preferences and Biases predict Life Outcomes? Evidence from Education and Labor Market Entry Decisions," Economics of Education Working Paper Series 0144, University of Zurich, Department of Business Administration (IBW), revised Mar 2021.
- Brantly Callaway & Pedro H. C. Sant'Anna, 2018.
"Difference-in-Differences with Multiple Time Periods,"
Papers
1803.09015, arXiv.org, revised Dec 2020.
- 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.
- Dargnies, Marie-Pierre & Kübler, Dorothea, 2017.
"Self-Confidence and Unraveling In Matching Markets,"
Rationality and Competition Discussion Paper Series
5, CRC TRR 190 Rationality and Competition.
- Dargnies, Marie-Pierre & Hakimov, Rustamdjan & Kübler, Dorothea, 2016. "Self-confidence and unraveling in matching markets," Discussion Papers, Research Unit: Market Behavior SP II 2016-210, WZB Berlin Social Science Center.
- Marie-Pierre Dargnies & Rustamdjan Hakimov & Dorothea Kübler, 2019. "Self-Confidence and Unraveling in Matching Markets," Management Science, INFORMS, vol. 65(12), pages 5603-5618, December.
- Marie-Pierre Dargnies & Rustamdjan Hakimov & Dorothea Kübler, 2019. "Self-confidence and unraveling in matching markets," Post-Print hal-02059282, HAL.
- Dargnies, Marie-Pierre & Hakimov, Rustamdjan & Kübler, Dorothea, 2019. "Self-Confidence and Unraveling in Matching Markets," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 65(12), pages 5603-5618.
- Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org, revised Nov 2024.
- Fone, Zachary S. & Friedson, Andrew I. & Lipton, Brandy & Sabia, Joseph J., 2020. "The Dependent Coverage Mandate Took a Bite Out of Crime," IZA Discussion Papers 12968, Institute of Labor Economics (IZA).
- Adhvaryu, Achyuta & Nyshadham, Anant & Xu, Huayu, 2023. "Hostel takeover: Living conditions, reference dependence, and the well-being of migrant workers," Journal of Public Economics, Elsevier, vol. 226(C).
- Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.
- Richard Murphy, 2019.
"Why Unions Survive: Understanding How Unions Overcome The Free-Rider Problem,"
NBER Working Papers
25924, National Bureau of Economic Research, Inc.
- Murphy, Richard, 2019. "Why unions survive: understanding how unions overcome the free-rider problem," LSE Research Online Documents on Economics 102809, London School of Economics and Political Science, LSE Library.
- Richard Murphy, 2020. "Why Unions Survive: Understanding How Unions Overcome the Free-Rider Problem," Journal of Labor Economics, University of Chicago Press, vol. 38(4), pages 1141-1188.
- Alexandra Ferreira‐Lopes & Pedro Linhares & Luís Filipe Martins & Tiago Neves Sequeira, 2022. "Quantitative easing and economic growth in Japan: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 235-268, February.
- Xiaohong Chen & Demian Pouzo, 2014.
"Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models,"
Papers
1411.1144, arXiv.org, revised Mar 2015.
- 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, 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, 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 1897RR, Cowles Foundation for Research in Economics, Yale University, revised Nov 2014.
- Federico Belotti & Edoardo Di Porto & Gianluca Santoni, 2016.
"The Effect of Local Taxes on Firm Performance: Evidence from Geo-referenced Data,"
CSEF Working Papers
430, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Federico Belotti & Edoardo Di Porto & Gianluca Santoni, 2016. "The Effect of Local Taxes on Firm Performance: Evidence from Geo-referenced Data," CEIS Research Paper 377, Tor Vergata University, CEIS, revised 13 Apr 2016.
- Belotti, Federico & Di Porto, Edoardo & Santoni, Gianluca, 2016. "The effect of local taxes on firm performance: evidence from geo-referenced data," Working Paper Series 2016:3, Uppsala University, Department of Economics.
- Federico Belotti & Edoardo di Porto & Gianluca Santoni, 2016. "The effect of local taxes on firm performance: evidence from geo referenced data," Working Papers 2016-03, CEPII research center.
- Federico Belotti & Edoardo Di Porto & Gianluca Santoni, 2021. "The effect of local taxes on firm performance: Evidence from geo‐referenced data," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 492-510, March.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022.
"Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference,"
Working Paper
1485, Economics Department, Queen's University.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
- James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Papers 2301.04527, arXiv.org, revised Feb 2023.
- David Roodman & James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2018.
"Fast And Wild: Bootstrap Inference In Stata Using Boottest,"
Working Paper
1406, Economics Department, Queen's University.
- David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
- James G. MacKinnon & Morten Ørregaard Nielsen & David Roodman & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," CREATES Research Papers 2018-34, Department of Economics and Business Economics, Aarhus University.
- A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
- Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," CeMMAP working papers 38/14, Institute for Fiscal Studies.
- Attila Gaspar & Tommaso Giommoni & Massimo Morelli & Antonio Nicolò, 2021.
"Corruption and Extremism,"
BAFFI CAREFIN Working Papers
21163, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- Morelli, Massimo & Giommoni, Tommaso & Nicolò, Antonio, 2020. "Corruption and Extremism," CEPR Discussion Papers 14634, C.E.P.R. Discussion Papers.
- Choudhury, Sanchari, 2023. "Non-random selection into entrepreneurship in the realm of government decentralization and corruption," European Journal of Political Economy, Elsevier, vol. 78(C).
- Malmendier, Ulrike M. & Steiny Wellsjo, Alex, 2020. "Rent or Buy? The Role of Lifetime Experiences on Homeownership within and across Countries," CEPR Discussion Papers 14935, C.E.P.R. Discussion Papers.
- Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013.
"Program evaluation with high-dimensional data,"
CeMMAP working papers
57/13, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2014. "Program evaluation with high-dimensional data," CeMMAP working papers CWP33/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers 77/13, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2015. "Program evaluation with high-dimensional data," CeMMAP working papers CWP55/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2014. "Program evaluation with high-dimensional data," CeMMAP working papers 33/14, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers CWP77/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2015. "Program evaluation with high-dimensional data," CeMMAP working papers 55/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers CWP57/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lixiong Yang & Chingnun Lee & I‐Po Chen, 2021. "Threshold model with a time‐varying threshold based on Fourier approximation," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 406-430, July.
- Rahi Abouk & Keshar M. Ghimire & Johanna Catherine Maclean & David Powell, 2023. "Pain Management and Work Capacity: Evidence From Workers’ Compensation and Marijuana Legalization," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(3), pages 737-770, June.
- David Powell, 2017. "Inference with Correlated Clusters," Working Papers WR-1137-1, RAND Corporation.
- Havlik, Annika, 2020. "Political budget cycles in European public procurement," ZEW Discussion Papers 20-069, ZEW - Leibniz Centre for European Economic Research.
- Florian Englmaier & Stefan Grimm & Dominik Grothe & David Schindler & Simeon Schudy, 2024.
"The Efficacy of Tournaments for Nonroutine Team Tasks,"
Journal of Labor Economics, University of Chicago Press, vol. 42(4), pages 921-948.
- Florian Englmaier & Stefan Grimm & Dominik Grothe & David Schindler & Simeon Schudy, 2021. "The Efficacy of Tournaments for Non-Routine Team Tasks," CESifo Working Paper Series 9189, CESifo.
- Florian Englmaier & Stefan Grimm & Dominik Grothe & David Schindler & Simeon Schudy, 2023. "The Efficacy of Tournaments for Non-Routine Team Tasks," Rationality and Competition Discussion Paper Series 445, CRC TRR 190 Rationality and Competition.
- Englmaier, Florian & Grimm, Stefan & Grothe, Dominik & Schindler, David & Schudy, Simeon, 2021. "The Efficacy of Tournaments for Non-Routine Team Tasks," CEPR Discussion Papers 16360, C.E.P.R. Discussion Papers.
- Callaway, Brantly & Karami, Sonia, 2023.
"Treatment effects in interactive fixed effects models with a small number of time periods,"
Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
- Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
- Menon Martina & Perali Federico & Veronesi Marcella, 2017. "“Leaving No Child Behind:” Preferences for Social Inclusion and Altruism," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 17(3), pages 1-19, July.
- Jorge González Chapela & Sergi Jiménez-Martín & Judit Vall Castello, 2023.
"Education and internal migration: evidence from a child labor reform in Spain,"
SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(2), pages 143-164, June.
- Jorge González Chapela & Sergi Jiménez-Martín & Judith Vall Castello, 2021. "Education and Internal Migration: Evidence from a Child Labor Reform in Spain," Studies on the Spanish Economy eee2021-34, FEDEA.
- Jan Hogrefe & Jens Wrona, 2015. "Trade, tasks and training: The effect of offshoring on individual skill upgrading," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(4), pages 1537-1560, November.
- Baumgarten, Daniel & Kvasnicka, Michael, 2016.
"Temporary Agency Work and the Great Recession,"
IZA Discussion Papers
9913, Institute of Labor Economics (IZA).
- Daniel Baumgarten & Michael Kvasnicka, 2016. "Temporary Agency Work and the Great Recession," FEMM Working Papers 160003, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
- Baumgarten, Daniel & Kvasnicka, Michael, 2017. "Temporary agency work and the Great Recession," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 29-44.
- Baumgarten, Daniel & Kvasnicka, Michael, 2017. "Temporary agency work and the Great Recession," Munich Reprints in Economics 49930, University of Munich, Department of Economics.
- Baumgarten, Daniel & Kvasnicka, Michael, 2016. "Temporary Agency Work and the Great Recession," Discussion Papers in Economics 27991, University of Munich, Department of Economics.
- Joan Costa-i-Font & Sergi Jimenez-Martin & Cristina Vilaplana, 2016.
"Thinking of Incentivizing Care? The Effect of Demand Subsidies on Informal Caregiving and Intergenerational Transfers,"
CESifo Working Paper Series
6124, CESifo.
- Joan Costa-Font & Sergi Jiménez-Martín & Cristina Vilaplana-Prieto, 2016. "Thinking of incentivizing care? The effect of demand subsidies on informal caregiving and intergenerational transfers," Economics Working Papers 1537, Department of Economics and Business, Universitat Pompeu Fabra, revised May 2017.
- Joan Costa-Font & Sergi Jiménez-Martín & Cristina Vilaplana Prieto, 2016. "Thinking of incentivizing care? The effect of demand subsidies on informal caregiving and intergenerational transfers," Working Papers 929, Barcelona School of Economics.
- Costa-Font, Joan & Jiménez-Martín, Sergi & Vilaplana-Prieto, Cristina, 2022. "Do Public Caregiving Subsidies and Supports affect the Provision of Care and Transfers?," Journal of Health Economics, Elsevier, vol. 84(C).
- Joan Costa-Font & Sergi Jiménez-Martín & Cristina Vilaplana-Prieto, 2016. "Thinking of Incentivizing Care? The Effect of Demand Subsidies on Informal Caregiving and Intergenerational Transfers," Working Papers 2016-08, FEDEA.
- Costa-Font, Joan & Jimenez-Martin, Sergi & Vilaplana-Prieto, Cristina, 2018. "Thinking of Incentivizing Care? The Effect of Demand Subsidies on Informal Caregiving and Intergenerational Transfers," IZA Discussion Papers 11774, Institute of Labor Economics (IZA).
- Costa-Font, Joan & Jimenez-Martin, Sergi & Vilaplana-Prieto, Cristina, 2022. "Do public caregiving subsidies and supports affect the provision of care and transfers?," LSE Research Online Documents on Economics 115185, London School of Economics and Political Science, LSE Library.
- Felipe González, 2018.
"Collective Action in Networks: Evidence from the Chilean Student Movement,"
Documentos de Trabajo
509, Instituto de Economia. Pontificia Universidad Católica de Chile..
- González, Felipe, 2020. "Collective action in networks: Evidence from the Chilean student movement," Journal of Public Economics, Elsevier, vol. 188(C).
- Zhu, Heng & Taylor, J. Edward & Gupta, Anubhab, 2018.
"Economic Impact of Giving Land to Refugees,"
2018 Annual Meeting, August 5-7, Washington, D.C.
274212, Agricultural and Applied Economics Association.
- Heng Zhu & Anubhab Gupta & Mateusz Filipski & Jaakko Valli & Ernesto Gonzalez‐Estrada & J. Edward Taylor, 2024. "Economic impact of giving land to refugees," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(1), pages 226-251, January.
- Chad D. Cotti & Charles J. Courtemanche & Yang Liang & Johanna Catherine Maclean & Erik T. Nesson & Joseph J. Sabia, 2024.
"The Effect of E-Cigarette Flavor Bans on Tobacco Use,"
NBER Working Papers
32535, National Bureau of Economic Research, Inc.
- Cotti, Chad D. & Courtemanche, Charles J. & Liang, Yang & Maclean, Johanna Catherine & Nesson, Erik T. & Sabia, Joseph J., 2024. "The Effect of E-Cigarette Flavor Bans on Tobacco Use," Working Papers 114, Wake Forest University, Economics Department.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018.
"The wild bootstrap with a "small" number of "large" clusters,"
CeMMAP working papers
CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2019. "The Wild Bootstrap with a Small Number of Large Clusters," CeMMAP working papers CWP40/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Matei Demetrescu & Christoph Hanck, 2013. "Nonlinear IV panel unit root testing under structural breaks in the error variance," Statistical Papers, Springer, vol. 54(4), pages 1043-1066, November.
- James G. MacKinnon, 2019.
"How cluster-robust inference is changing applied econometrics,"
Working Paper
1413, Economics Department, Queen's University.
- James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 851-881, August.
- James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
- Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
- Aaron Barkley, 2023. "The Human Cost of Collusion: Health Effects of a Mexican Insulin Cartel," Journal of the European Economic Association, European Economic Association, vol. 21(5), pages 1865-1904.
- Harold D. Chiang, 2019.
"Many Average Partial Effects: with an Application to Text Regression,"
2019 Papers
pch1836, Job Market Papers.
- Harold D. Chiang, 2018. "Many Average Partial Effects: with An Application to Text Regression," Papers 1812.09397, arXiv.org, revised Jan 2022.
- Jules Dupuy & Thomas Barnay & Éric Defebvre, 2024.
"Clear as a Bell? Policy Stringency and Elderly Health during Covid-19,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
hal-04549298, HAL.
- Jules Dupuy & Thomas Barnay & Éric Defebvre, 2024. "Clear as a Bell? Policy Stringency and Elderly Health during Covid-19," Post-Print hal-04549298, HAL.
- Dupuy, Jules & Barnay, Thomas & Defebvre, Eric, 2024. "Clear as a bell? Policy stringency and elderly health during Covid-19," Social Science & Medicine, Elsevier, vol. 349(C).
- Brütt, Katharina & Schram, Arthur & Sonnemans, Joep, 2020. "Endogenous group formation and responsibility diffusion: An experimental study," Games and Economic Behavior, Elsevier, vol. 121(C), pages 1-31.
- Tristan Le Cotty & Elodie Maître d'Hôtel & Raphaël Soubeyran & Julie Subervie, 2018.
"Inventory credit as a commitment device to save grain until the hunger season,"
CEE-M Working Papers
hal-01947421, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
- Tristan Le Cotty & Elodie Maître d'Hôtel & Raphaël Soubeyran & Julie Subervie, 2018. "Inventory credit as a commitment device to save grain until the hunger season," Working Papers hal-01947421, HAL.
- Tristan Le Cotty & Elodie Maître d'Hôtel & Raphaël Soubeyran & Julie Subervie, 2019. "Inventory credit as a commitment device to save grain until the hunger season," Post-Print hal-02090939, HAL.
- T Le Cotty & E Maître d’Hôtel & R Soubeyran & J Subervie, 2019. "Inventory Credit as a Commitment Device to Save Grain Until the Hunger Season," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(4), pages 1115-1139.
- Tristan Le Cotty & Elodie Maître d'Hôtel & Raphaël Soubeyran & Julie Subervie, 2018. "Inventory credit as a commitment device to save grain until the hunger season," CIRED Working Papers hal-01947421, HAL.
- Jean-Jacques Forneron & Serena Ng, 2021.
"Estimation and Inference by Stochastic Optimization: Three Examples,"
AEA Papers and Proceedings, American Economic Association, vol. 111, pages 626-630, May.
- Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," Papers 2102.10443, arXiv.org.
- 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.
- 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.
- Chen, Roy, 2017. "Coordination with endogenous groups," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 177-187.
- Charness, Gary & Cobo-Reyes, Ramón & Eyster, Erik & Katz, Gabriel & Sánchez, Ángela & Sutter, Matthias, 2023. "Improving children's food choices: Experimental evidence from the field," European Economic Review, Elsevier, vol. 159(C).
- Maike Hohberg & Peter Pütz & Thomas Kneib, 2020. "Treatment effects beyond the mean using distributional regression: Methods and guidance," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-29, February.
- Jiti Gao & Fei Liu & Bin Peng & Yanrong Yang, 2023. "Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy," Papers 2306.05593, arXiv.org, revised Jul 2024.
- Arrieta, Johar & Florián, David & López, Kristian & Morales, Valeria, 2020.
"Policies for Transactional De-Dollarization: A Laboratory Study,"
Working Papers
2020-011, Banco Central de Reserva del Perú.
- Johar Arrieta & David Florián & Kristian López & Valeria Morales, 2020. "Policies for Transactional De-Dollarization: A Laboratory Study," Working Papers 172, Peruvian Economic Association.
- Arrieta Vidal, Johar & Florián Hoyle, David & López Vargas, Kristian & Morales Vásquez, Valeria, 2022. "Policies for transactional de-dollarization: A laboratory study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 31-54.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly, 2019.
"Fast Algorithms for the Quantile Regression Process,"
Papers
1909.05782, arXiv.org, revised Apr 2020.
- Victor Chernozhukov & Iván Fernández-Val & Blaise Melly, 2022. "Fast algorithms for the quantile regression process," Empirical Economics, Springer, vol. 62(1), pages 7-33, January.
- Geng, Hao & Shi, Ce Matthew, 2024. "Health policy, price regulation, and innovation: Evidence from China’s vaccine industry," Journal of Development Economics, Elsevier, vol. 167(C).
- Jiti Gao & Bin Peng & Yayi Yan, 2022.
"Higher-order Expansions and Inference for Panel Data Models,"
Papers
2205.00577, arXiv.org, revised Jun 2023.
- Jiti Gao & Bin Peng & Yayi Yan, 2023. "Higher-order Expansions and Inference for Panel Data Models," Monash Econometrics and Business Statistics Working Papers 15/23, Monash University, Department of Econometrics and Business Statistics.
- Linda Babcock & Maria P. Recalde & Lise Vesterlund & Laurie Weingart, 2017. "Gender Differences in Accepting and Receiving Requests for Tasks with Low Promotability," American Economic Review, American Economic Association, vol. 107(3), pages 714-747, March.
- Su Liangjun & Tadao Hoshino, 2015.
"Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models,"
Working Papers
01-2015, Singapore Management University, School of Economics.
- Su, Liangjun & Hoshino, Tadao, 2016. "Sieve instrumental variable quantile regression estimation of functional coefficient models," Journal of Econometrics, Elsevier, vol. 191(1), pages 231-254.
- Johanna Catherine Maclean & Sabrina Wulff Pabilonia, 2024. "Paid Sick Leave and Childcare," NBER Working Papers 32710, National Bureau of Economic Research, Inc.
- Fallesen, Peter & Geerdsen, Lars Pico & Imai, Susumu & Tranæs, Torben, 2018. "The effect of active labor market policies on crime: Incapacitation and program effects," Labour Economics, Elsevier, vol. 52(C), pages 263-286.
- Richard Murphy, 2019. "Why unions: understanding how unions overcome the free-rider problem," CEP Discussion Papers dp1625, Centre for Economic Performance, LSE.
- Steinberg, Philip J. & Urbig, Diemo & Procher, Vivien D. & Volkmann, Christine, 2021. "Knowledge transfer and home-market innovativeness: A comparison of emerging and advanced economy multinationals," Journal of International Management, Elsevier, vol. 27(4).
- Rahi Abouk & John S. Earle & Johanna Catherine Maclean & Sungbin Park, 2024. "Promoting Public Health with Blunt Instruments: Evidence from Vaccine Mandates," NBER Working Papers 32286, National Bureau of Economic Research, Inc.
- James Andreoni & Christina Gravert & Michael A. Kuhn & Silvia Saccardo & Yang Yang, 2018. "Arbitrage Or Narrow Bracketing? On Using Money to Measure Intertemporal Preferences," NBER Working Papers 25232, National Bureau of Economic Research, Inc.
- Melvin Stephens, Jr. & Desmond J. Toohey, 2018. "The Impact of Health on Labor Market Outcomes: Experimental Evidence from MRFIT," NBER Working Papers 24231, National Bureau of Economic Research, Inc.
- Eiji Yamada, 2020. "Three chapters on spatial and urban economics [Trois chapitres sur l’économie spatiale et urbaine]," SciencePo Working papers Main tel-03767752, HAL.
- Keith Finlay & Leandro M. Magnusson, 2019. "Two applications of wild bootstrap methods to improve inference in cluster‐IV models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 911-933, September.
- Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," THEMA Working Papers 2024-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Boxell, Levi, 2016.
"A Drought-Induced African Slave Trade?,"
MPRA Paper
69853, University Library of Munich, Germany.
- Boxell, Levi, 2019. "Droughts, conflict, and the African slave trade," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 774-791.
- Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
- Havlik, Annika & Heinemann, Friedrich & Nover, Justus, 2021.
"Election cycles in European public procurement,"
ZEW Discussion Papers
21-079, ZEW - Leibniz Centre for European Economic Research.
- Annika Havlik & Friedrich Heinemann & Justus Nover, 2021. "Election Cycles in European Public Procurement," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 77(4), pages 376-407.
- Di Pietro Giorgio & European Commission & IZA, 2022. "Studying abroad and earnings: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1096-1129, September.
- Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
- Olivier Deschenes & Christopher Malloy & Gavin G. McDonald, 2023.
"Causal Effects of Renewable Portfolio Standards on Renewable Investments and Generation: The Role of Heterogeneity and Dynamics,"
NBER Working Papers
31568, National Bureau of Economic Research, Inc.
- Deschenes, Olivier & Malloy, Christopher & McDonald, Gavin, 2023. "Causal effects of Renewable Portfolio Standards on renewable investments and generation: The role of heterogeneity and dynamics," Resource and Energy Economics, Elsevier, vol. 75(C).
- Kaizhao Liu & Jose Blanchet & Lexing Ying & Yiping Lu, 2024. "Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty," Papers 2404.19145, arXiv.org, revised Apr 2024.
- Giommoni, Tommaso, 2021. "Exposure to corruption and political participation: Evidence from Italian municipalities," European Journal of Political Economy, Elsevier, vol. 68(C).
- Ben Yishay, Ariel & Fraker, Andrew & Guiteras, Raymond & Palloni, Giordano & Shah, Neil Buddy & Shirrell, Stuart & Wang, Paul, 2017. "Microcredit and willingness to pay for environmental quality: Evidence from a randomized-controlled trial of finance for sanitation in rural Cambodia," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 121-140.
- Ludovico Carrino & Cristina Elisa Orso & Giacomo Pasini, 2018.
"Demand of long‐term care and benefit eligibility across European countries,"
Health Economics, John Wiley & Sons, Ltd., vol. 27(8), pages 1175-1188, August.
- Ludovico Carrino & Cristina Elisa Orso & Giacomo Pasini, 2015. "Demand of Long-Term Care and benefit eligibility across European countries," Working Papers 2015:26, Department of Economics, University of Venice "Ca' Foscari".
- Salmon, Timothy C. & Serra, Danila, 2017. "Corruption, social judgment and culture: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 64-78.
- Jean-Jacques Forneron & Serena Ng, 2020. "Inference by Stochastic Optimization: A Free-Lunch Bootstrap," Papers 2004.09627, arXiv.org, revised Sep 2020.
- Armstrong, Timothy B. & Bertanha, Marinho & Hong, Han, 2014. "A fast resample method for parametric and semiparametric models," Journal of Econometrics, Elsevier, vol. 179(2), pages 128-133.
- Nicholas J. Pates & Nathan P. Hendricks, 2021. "Fields from Afar: Evidence of Heterogeneity in United States Corn Rotational Response from Remote Sensing Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1759-1782, October.
- Guerra, Alice & Zhuravleva, Tatyana, 2021. "Do bystanders react to bribery?," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 442-462.
- Nie, Zihan & Yang, Xiaojun & Tu, Qin, 2020. "Resource scarcity and cooperation: Evidence from a gravity irrigation system in China," World Development, Elsevier, vol. 135(C).
- Preety Srivastava & Ou Yang & Xueyan Zhao, 2022. "Equal Tax for Equal Alcohol? Beverage Types and Antisocial and Unlawful Behaviours," The Economic Record, The Economic Society of Australia, vol. 98(323), pages 354-372, December.
- Gilpin, Gregory, 2019. "Teen driver licensure provisions, licensing, and vehicular fatalities," Journal of Health Economics, Elsevier, vol. 66(C), pages 54-70.
- Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2023. "Distribution regression with sample selection and UK wage decomposition," CeMMAP working papers 09/23, Institute for Fiscal Studies.
- Zachary S. Fone, 2023. "You Booze, You Lose? Spillovers to Crime from Alcohol Sales at College Football Games," Journal of Sports Economics, , vol. 24(2), pages 193-240, February.
- Hoff,Karla & Jalan,Jyotsna & Santra,Sattwik, 2021. "Participatory Theater Empowers Women : Evidence from India," Policy Research Working Paper Series 9680, The World Bank.
- Keith Finlay & Leandro M. Magnusson, 2014. "Bootstrap Methods for Inference with Cluster-Sample IV Models," Economics Discussion / Working Papers 14-12, The University of Western Australia, Department of Economics.
- Yuichi Kitamura & Andres Santos & Azeem M. Shaikh, 2009.
"On the Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions,"
Cowles Foundation Discussion Papers
1722, Cowles Foundation for Research in Economics, Yale University.
- Yuichi Kitamura & Andres Santos & Azeem M. Shaikh, 2012. "On the Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions," Econometrica, Econometric Society, vol. 80(1), pages 413-423, January.
Cited by:
- Marmer, Vadim & Otsu, Taisuke, 2008.
"Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit,"
Microeconomics.ca working papers
vadim_marmer-2008-13, Vancouver School of Economics, revised 25 Jul 2011.
- Vadim Marmer & Taisuke Otsu, 2009. "Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit," Cowles Foundation Discussion Papers 1724, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
- Marmer, Vadim & Otsu, Taisuke, 2012. "Optimal comparison of misspecified moment restriction models under a chosen measure of fit," Journal of Econometrics, Elsevier, vol. 170(2), pages 538-550.
- Otsu, Taisuke, 2010. "On Bahadur efficiency of empirical likelihood," Journal of Econometrics, Elsevier, vol. 157(2), pages 248-256, August.
- Susanne M. Schennach, 2013.
"Entropic Latent Variable Integration via Simulation,"
CeMMAP working papers
CWP32/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach, 2013. "Entropic Latent Variable Integration via Simulation," CeMMAP working papers 32/13, Institute for Fiscal Studies.
- Susanne M. Schennach, 2014. "Entropic Latent Variable Integration via Simulation," Econometrica, Econometric Society, vol. 82(1), pages 345-385, January.
- De Silva, Dakshina G. & Hubbard, Timothy P. & Schiller, Anita R. & Tsionas, Mike G., 2023. "Estimating outcomes in the presence of endogeneity and measurement error with an application to R&D," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 278-294.
- Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
- Zeng-Hua Lu, 2020. "Bahadur intercept with applications to one-sided testing," Statistical Papers, Springer, vol. 61(2), pages 645-658, April.
- Guggenberger, Patrik, 2012. "A note on the (in)consistency of the test of overidentifying restrictions and the concepts of true and pseudo-true parameters," Economics Letters, Elsevier, vol. 117(3), pages 901-904.
- Hsin‐wen Chang & Ian W. McKeague, 2022. "Empirical likelihood‐based inference for functional means with application to wearable device data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1947-1968, November.
- Canay, Ivan A., 2010. "EL inference for partially identified models: Large deviations optimality and bootstrap validity," Journal of Econometrics, Elsevier, vol. 156(2), pages 408-425, June.
- Canay, Ivan A. & Otsu, Taisuke, 2012. "Hodges–Lehmann optimality for testing moment conditions," Journal of Econometrics, Elsevier, vol. 171(1), pages 45-53.
- Komunjer, Ivana & Santos, Andres, 2009.
"Semiparametric Estimation of Nonseparable Models: A Minimum Distance from Independence Approach,"
University of California at San Diego, Economics Working Paper Series
qt32k957bp, Department of Economics, UC San Diego.
- Ivana Komunjer & Andres Santos, 2010. "Semi-parametric estimation of non-separable models: a minimum distance from independence approach," Econometrics Journal, Royal Economic Society, vol. 13(3), pages 28-55, October.
Cited by:
- Poirier, Alexandre, 2017. "Efficient estimation in models with independence restrictions," Journal of Econometrics, Elsevier, vol. 196(1), pages 1-22.
- Torgovitsky, Alexander, 2017. "Minimum distance from independence estimation of nonseparable instrumental variables models," Journal of Econometrics, Elsevier, vol. 199(1), pages 35-48.
- Junlong Feng & Sokbae Lee, 2023. "Individual Welfare Analysis: Random Quasilinear Utility, Independence, and Confidence Bounds," Papers 2304.01921, arXiv.org, revised Nov 2024.
- Florian Gunsilius, 2018. "Point-identification in multivariate nonseparable triangular models," Papers 1806.09680, arXiv.org.
- 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.
Articles
- Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018.
"Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters,"
Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
Cited by:
- Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
- Patrick Kline & Christopher R. Walters, 2017.
"On Heckits, LATE, and Numerical Equivalence,"
Papers
1706.05982, arXiv.org, revised Oct 2018.
- Patrick Kline & Christopher R. Walters, 2019. "On Heckits, LATE, and Numerical Equivalence," Econometrica, Econometric Society, vol. 87(2), pages 677-696, March.
- Patrick M. Kline & Christopher R. Walters, 2018. "On Heckits, LATE, and Numerical Equivalence," NBER Working Papers 24477, National Bureau of Economic Research, Inc.
- Patrick Kline & Christopher R. Walters, 2018. "On Heckits, LATE, and Numerical Equivalence," CESifo Working Paper Series 6994, CESifo.
- Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
- Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019.
"Nonparametric Estimates of Demand in the California Health Insurance Exchange,"
NBER Working Papers
25827, National Bureau of Economic Research, Inc.
- Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2023. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," Econometrica, Econometric Society, vol. 91(1), pages 107-146, January.
- Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
- 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.
- Ivan A. Canay & Magne Mogstad & Jack Mountjoy, 2020.
"On the Use of Outcome Tests for Detecting Bias in Decision Making,"
Working Papers
2020-125, Becker Friedman Institute for Research In Economics.
- Ivan A. Canay & Magne Mogstad & Jack Mountjoy, 2020. "On the Use of Outcome Tests for Detecting Bias in Decision Making," NBER Working Papers 27802, National Bureau of Economic Research, Inc.
- Ivan A Canay & Magne Mogstad & Jack Mount, 2024. "On the Use of Outcome Tests for Detecting Bias in Decision Making," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(4), pages 2135-2167.
- 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.
- Robert A. Moffitt & Matthew V. Zahn, 2019.
"The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation,"
NBER Working Papers
26028, National Bureau of Economic Research, Inc.
- Moffitt, Robert A. & Zahn, Matthew V., 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," IZA Discussion Papers 15046, Institute of Labor Economics (IZA).
- Robert A. Moffitt & Matthew V. Zahn, 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Papers 2202.03413, arXiv.org.
- Moffitt, Robert A. & Zahn, Matthew V., 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Economics Working Paper Archive 66674, The Johns Hopkins University,Department of Economics.
- Bennett, Patrick & Blundell, Richard & Salvanes, Kjell Gunnar, 2020.
"A Second Chance? Labor Market Returns to Adult Education Using School Reforms,"
Discussion Paper Series in Economics
14/2020, Norwegian School of Economics, Department of Economics.
- Bennett, Patrick & Blundell, Richard & Salvanes, Kjell G., 2020. "A Second Chance? Labor Market Returns to Adult Education Using School Reforms," IZA Discussion Papers 13592, Institute of Labor Economics (IZA).
- Patrick Bennett & Richard Blundell & Kjell G. Salvanes, 2021. "A Second Chance? The Labor Market Outcomes of Reforming Access to Adult Education," CESifo Working Paper Series 9306, CESifo.
- Patrick Bennett & Richard Blundell & Kjell Salvanes, 2020. "A Second Chance? Labor Market Returns to Adult Education Using School Reforms," Working Papers 2020-058, Human Capital and Economic Opportunity Working Group.
- Salvanes, Kjell G & Blundell, Richard & Bennett, Patrick, 2020. "A Second Chance? Labor Market Returns to Adult Education Using School Reforms," CEPR Discussion Papers 15158, C.E.P.R. Discussion Papers.
- Patrick Bennett & Richard Blundell & Kjell G. Salvanes, 2020. "A second chance? Labor market returns to adult education using school reforms," IFS Working Papers W20/28, Institute for Fiscal Studies.
- Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
- Santiago Pereda Fernández, 2019.
"Identification and estimation of triangular models with a binary treatment,"
Temi di discussione (Economic working papers)
1210, Bank of Italy, Economic Research and International Relations Area.
- Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
- Goto, Tsuyoshi, 2022.
"Do municipal mergers reduce public expenditure? Evidence from the MTE approach,"
MPRA Paper
114376, University Library of Munich, Germany.
- Tsuyoshi Goto, 2023. "Do municipal mergers reduce public expenditure? Evidence from the MTE approach," Economics Bulletin, AccessEcon, vol. 43(3), pages 1366-1376.
- Han, Sukjin & Yang, Shenshen, 2024.
"A computational approach to identification of treatment effects for policy evaluation,"
Journal of Econometrics, Elsevier, vol. 240(1).
- Sukjin Han & Shenshen Yang, 2020. "A Computational Approach to Identification of Treatment Effects for Policy Evaluation," Papers 2009.13861, arXiv.org, revised Aug 2023.
- Andrews, Isaiah, 2019. "On the structure of IV estimands," Journal of Econometrics, Elsevier, vol. 211(1), pages 294-307.
- Dobbie, Will & Hull, Peter & Arnold, David, 2022.
"Measuring Racial Discrimination in Bail Decisions,"
University of California at San Diego, Economics Working Paper Series
qt6f22n2h3, Department of Economics, UC San Diego.
- David Arnold & Will S. Dobbie & Peter Hull, 2020. "Measuring Racial Discrimination in Bail Decisions," NBER Working Papers 26999, National Bureau of Economic Research, Inc.
- David Arnold & Will Dobbie & Peter Hull, 2022. "Measuring Racial Discrimination in Bail Decisions," American Economic Review, American Economic Association, vol. 112(9), pages 2992-3038, September.
- David Arnold & Will Dobbie & Peter Hull, 2020. "Measuring Racial Discrimination in Bail Decisions," Working Papers 2020-33, Becker Friedman Institute for Research In Economics.
- Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
- Denni Tommasi & Lina Zhang, 2020.
"Bounding Program Benefits When Participation is Misreported,"
Monash Econometrics and Business Statistics Working Papers
24/20, Monash University, Department of Econometrics and Business Statistics.
- Tommasi, Denni & Zhang, Lina, 2020. "Bounding Program Benefits When Participation Is Misreported," IZA Discussion Papers 13430, Institute of Labor Economics (IZA).
- Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
- Ity Shurtz & Alon Eizenberg & Adi Alkalay & Amnon Lahad, 2022.
"Physician workload and treatment choice: the case of primary care,"
RAND Journal of Economics, RAND Corporation, vol. 53(4), pages 763-791, December.
- Eizenberg, Alon & Shurtz, Ity & Alkalay, Adi & Lahad, Amnon, 2018. "Physician workload and treatment choice: the case of primary care," CEPR Discussion Papers 13157, C.E.P.R. Discussion Papers.
- Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Unpacking treatment effect heterogeneity of alternative sentences on time-to-recidivism in Brazil," Papers 2311.13969, arXiv.org, revised May 2024.
- Koichiro Ito & Takanori Ida & Makoto Tanaka, 2021.
"Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice,"
Working Papers
2021-12, Becker Friedman Institute for Research In Economics.
- Koichiro Ito & Takanori Ida & Makoto Tanaka, 2023. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," American Economic Review, American Economic Association, vol. 113(11), pages 2937-2973, November.
- ITO Koichiro & IDA Takanori & TANAKA Makoto, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," Discussion papers 21008, Research Institute of Economy, Trade and Industry (RIETI).
- Koichiro Ito & Takanori Ida & Makoto Tanaka, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," NBER Working Papers 28413, National Bureau of Economic Research, Inc.
- Westphal, Matthias & Kamhöfer, Daniel A. & Schmitz, Hendrik, 2020.
"Marginal College Wage Premiums under Selection into Employment,"
IZA Discussion Papers
13382, Institute of Labor Economics (IZA).
- Matthias Westphal & Daniel A. Kamhöfer & Hendrik Schmitz, 2020. "Marginal College Wage Premiums under Selection into Employment," Working Papers CIE 133, Paderborn University, CIE Center for International Economics.
- Westphal, Matthias & Kamhöfer, Daniel A. & Schmitz, Hendrik, 2020. "Marginal college wage premiums under selection into employment," Ruhr Economic Papers 855, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Matthias Westphal & Daniel A Kamhöfer & Hendrik Schmitz, 2022. "Marginal College Wage Premiums Under Selection Into Employment," The Economic Journal, Royal Economic Society, vol. 132(646), pages 2231-2272.
- Westphal, Matthias & Kamhöfer, Daniel A. & Schmitz, Hendrik, 2020. "Marginal college wage premiums under selection into employment," DICE Discussion Papers 341, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Emilio Borghesan & Hugo Reis & Petra E. Todd, 2022.
"Learning Through Repetition? A Dynamic Evaluation of Grade Retention in Portugal,"
PIER Working Paper Archive
22-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Hugo Reis & Emilio Borghesan, 2022. "Learning Through Repetition? A Dynamic Evaluation of Grade Retention in Portugal," Working Papers w202220, Banco de Portugal, Economics and Research Department.
- Yan Liu, 2022. "Policy Learning under Endogeneity Using Instrumental Variables," Papers 2206.09883, arXiv.org, revised Mar 2024.
- Timothy B. Armstrong & Michal Kolesár, 2020.
"Sensitivity Analysis using Approximate Moment Condition Models,"
Working Papers
2020-28, Princeton University. Economics Department..
- Timothy B. Armstrong & Michal Koles'ar, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Papers 1808.07387, arXiv.org, revised Jul 2020.
- Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2019.
- Timothy B. Armstrong & Michal Kolesár, 2021. "Sensitivity analysis using approximate moment condition models," Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
- Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158, Cowles Foundation for Research in Economics, Yale University.
- Caio Waisman & Brett R. Gordon, 2023. "Multi-cell experiments for marginal treatment effect estimation of digital ads," Papers 2302.13857, arXiv.org, revised Jan 2024.
- Vishal Kamat & Samuel Norris, 2020. "Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers," Papers 2002.00103, arXiv.org, revised Aug 2024.
- Yuya Sasaki & Takuya Ura, 2020. "Welfare Analysis via Marginal Treatment Effects," Papers 2012.07624, arXiv.org.
- Philip Marx, 2020. "Sharp Bounds in the Latent Index Selection Model," Papers 2012.02390, arXiv.org, revised Apr 2023.
- Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
- Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
- Deniz Dutz & Ingrid Huitfeldt & Santiago Lacouture & Magne Mogstad & Alexander Torgovitsky & Winnie van Dijk, 2021. "Selection in Surveys: Using Randomized Incentives to Detect and Account for Nonresponse Bias," NBER Working Papers 29549, National Bureau of Economic Research, Inc.
- Bruce E. Hansen & Seojeong Lee, 2021. "Inference for Iterated GMM Under Misspecification," Econometrica, Econometric Society, vol. 89(3), pages 1419-1447, May.
- Leonard Goff, 2024. "When does IV identification not restrict outcomes?," Papers 2406.02835, arXiv.org, revised Sep 2024.
- Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Jorge Rodríguez & Fernando Saltiel & Sergio S. Urzúa, 2018.
"Dynamic Treatment Effects of Job Training,"
NBER Working Papers
25408, National Bureau of Economic Research, Inc.
- Jorge Rodríguez & Fernando Saltiel & Sergio Urzúa, 2022. "Dynamic treatment effects of job training," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 242-269, March.
- Robert W. Hahn & Robert D. Metcalfe, 2021.
"Efficiency and Equity Impacts of Energy Subsidies,"
NBER Working Papers
28371, National Bureau of Economic Research, Inc.
- Robert W. Hahn & Robert D. Metcalfe, 2021. "Efficiency and Equity Impacts of Energy Subsidies," American Economic Review, American Economic Association, vol. 111(5), pages 1658-1688, May.
- Robert Hahn & Robert Metcalfe, 2021. "Efficiency and Equity Impacts of Energy Subsidies," Natural Field Experiments 00724, The Field Experiments Website.
- Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
- Gerten, Elisa & Beckmann, Michael & Kräkel, Matthias, 2022.
"Information and Communication Technology, Hierarchy, and Job Design,"
IZA Discussion Papers
15491, Institute of Labor Economics (IZA).
- Elisa Gerten & Michael Beckmann & Elisa Gerten & Matthias Kräkel, 2022. "Information and Communication Technology, Hierarchy, and Job Design," ECONtribute Discussion Papers Series 189, University of Bonn and University of Cologne, Germany.
- Luther Yap, 2022. "Sensitivity of Policy Relevant Treatment Parameters to Violations of Monotonicity," Working Papers 655, Princeton University, Department of Economics, Industrial Relations Section..
- Francesca Molinari, 2020.
"Microeconometrics with Partial Identi?cation,"
CeMMAP working papers
CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
- Heller, Sara B., 2022. "When scale and replication work: Learning from summer youth employment experiments," Journal of Public Economics, Elsevier, vol. 209(C).
- Luis Antonio Fantozzi Alvarez & Rodrigo Toneto, 2024. "The interpretation of 2SLS with a continuous instrument: a weighted LATE representation," Working Papers, Department of Economics 2024_11, University of São Paulo (FEA-USP).
- Gathmann, Christina & Vonnahme, Christina & Kim, Jongoh & Busse, Anna, 2021.
"Marginal Returns to Citizenship and Educational Performance,"
CEPR Discussion Papers
16636, C.E.P.R. Discussion Papers.
- Gathmann, Christina & Vonnahme, Christina & Busse, Anna & Kim, Jongoh, 2021. "Marginal returns to citizenship and educational performance," Ruhr Economic Papers 920, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Valentin Verdier, 2020. "Average treatment effects for stayers with correlated random coefficient models of panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 917-939, November.
- Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023.
"Inference for Linear Conditional Moment Inequalities,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," Papers 1909.10062, arXiv.org, revised Dec 2022.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
- Sebastian Himmler & Jannis Stöckel & Job van Exel & Werner B. F. Brouwer, 2021. "The value of health—Empirical issues when estimating the monetary value of a quality‐adjusted life year based on well‐being data," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1849-1870, August.
- Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023.
"Identifying marginal treatment effects in the presence of sample selection,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
- Bartalotti, Otávio & Kedagni, Desire & Possebom, Vitor, 2019. "Identifying Marginal Treatment Effects in the Presence of Sample Selection," ISU General Staff Papers 201909150700001080, Iowa State University, Department of Economics.
- Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vítor Augusto, 2021. "Identifying Marginal Treatment Effects in the Presence of Sample Selection," IZA Discussion Papers 14428, Institute of Labor Economics (IZA).
- Ot'avio Bartalotti & D'esir'e K'edagni & Vitor Possebom, 2021. "Identifying Marginal Treatment Effects in the Presence of Sample Selection," Papers 2112.07014, arXiv.org.
- Goff, Leonard, 2024. "A vector monotonicity assumption for multiple instruments," Journal of Econometrics, Elsevier, vol. 241(1).
- Haitian Xie, 2020. "Efficient and Robust Estimation of the Generalized LATE Model," Papers 2001.06746, arXiv.org, revised Feb 2022.
- Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
- Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
- Zhewen Pan & Zhengxin Wang & Junsen Zhang & Yahong Zhou, 2024. "Marginal treatment effects in the absence of instrumental variables," Papers 2401.17595, arXiv.org, revised Aug 2024.
- Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Nibbering, Didier & Oosterveen, Matthijs & Silva, Pedro Luís, 2022. "Clustered Local Average Treatment Effects: Fields of Study and Academic Student Progress," IZA Discussion Papers 15159, Institute of Labor Economics (IZA).
- Santiago Acerenza, 2024.
"Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 74-100, February.
- Santiago Acerenza, 2021. "Partial Identification of Marginal Treatment Effects with discrete instruments and misreported treatment," Papers 2110.06285, arXiv.org, revised Mar 2023.
- Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
- Songnian Chen & Shakeeb Khan & Xun Tang, 2022. "Endogeneity in Weakly Separable Models without Monotonicity," Papers 2208.05047, arXiv.org.
- Marx, Philip, 2024. "Sharp bounds in the latent index selection model," Journal of Econometrics, Elsevier, vol. 238(2).
- Stephen Coussens & Jann Spiess, 2021. "Improving Inference from Simple Instruments through Compliance Estimation," Papers 2108.03726, arXiv.org.
- Leonard Goff, 2020. "A Vector Monotonicity Assumption for Multiple Instruments," Papers 2009.00553, arXiv.org, revised Mar 2024.
- Matthew A. Masten & Alexandre Poirier, 2021.
"Salvaging Falsified Instrumental Variable Models,"
Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
- Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
- Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
- Vishal Kamat & Samuel Norris & Matthew Pecenco, 2023. "Identification in Multiple Treatment Models under Discrete Variation," Papers 2307.06174, arXiv.org.
- Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023.
"Limited Monotonicity and the Combined Compliers LATE,"
Boston College Working Papers in Economics
1059, Boston College Department of Economics, revised 25 Apr 2024.
- van ’t Hoff, Nadja & Lewbel, Arthur & Mellace, Giovanni, 2023. "Limited Monotonicity and the Combined Compliers LATE," Discussion Papers on Economics 2/2023, University of Southern Denmark, Department of Economics.
- Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2024. "Endogeneity in weakly separable models without monotonicity," Journal of Econometrics, Elsevier, vol. 238(1).
- Humlum, Anders & Munch, Jakob R. & Rasmussen, Mette, 2023. "What Works for the Unemployed? Evidence from Quasi-Random Caseworker Assignments," IZA Discussion Papers 16033, Institute of Labor Economics (IZA).
- Harold D. Chiang & Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs," Papers 2102.06586, arXiv.org.
- Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
- Ashesh Rambachan & Neil Shephard, 2019. "Econometric analysis of potential outcomes time series: instruments, shocks, linearity and the causal response function," Papers 1903.01637, arXiv.org, revised Feb 2020.
- Jiafeng Chen, 2021. "Nonparametric Treatment Effect Identification in School Choice," Papers 2112.03872, arXiv.org, revised Oct 2023.
- Denis Chetverikov & Andres Santos & Azeem M. Shaikh, 2018.
"The Econometrics of Shape Restrictions,"
Annual Review of Economics, Annual Reviews, vol. 10(1), pages 31-63, August.
Cited by:
- Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
- Xi Chen & Victor Chernozhukov & Iv'an Fern'andez-Val & Scott Kostyshak & Ye Luo, 2018. "Shape-Enforcing Operators for Point and Interval Estimators," Papers 1809.01038, arXiv.org, revised Feb 2021.
- Xiaohong Chen & Andres Santos, 2018.
"Overidentification in Regular Models,"
Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
See citations under working paper version above.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- Hiroaki Kaido & Andres Santos, 2014.
"Asymptotically Efficient Estimation of Models Defined by Convex Moment Inequalities,"
Econometrica, Econometric Society, vol. 82(1), pages 387-413, January.
Cited by:
- Hiroaki Kaido, 2014.
"Asymptotically efficient estimation of weighted average derivatives with an interval censored variable,"
CeMMAP working papers
03/14, Institute for Fiscal Studies.
- Hiroaki Kaido, 2013. "Asymptotically Efficient Estimation of Weighted Average Derivatives with an Inverval Censored Variable," Boston University - Department of Economics - Working Papers Series 2013-022, Boston University - Department of Economics.
- Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers CWP03/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kaido, Hiroaki, 2017. "Asymptotically Efficient Estimation Of Weighted Average Derivatives With An Interval Censored Variable," Econometric Theory, Cambridge University Press, vol. 33(5), pages 1218-1241, October.
- Yuan Liao & Anna Simoni, 2012.
"Semi-parametric Bayesian Partially Identified Models based on Support Function,"
Papers
1212.3267, arXiv.org, revised Nov 2013.
- Liao, Yuan & Simoni, Anna, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," MPRA Paper 43262, University Library of Munich, Germany.
- Victor Chernozhukov & Emre Kocatulum & Konrad Menzel, 2012.
"Inference on Sets in Finance,"
Papers
1211.4282, arXiv.org.
- Victor Chernozhukov & Emre Kocatulum & Konrad Menzel, 2015. "Inference on sets in finance," Quantitative Economics, Econometric Society, vol. 6(2), pages 309-358, July.
- Victor Chernozhukov & Emre Kocatulum & Konrad Menzel, 2012. "Inference on sets in finance," CeMMAP working papers 46/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Emre Kocatulum & Konrad Menzel, 2012. "Inference on sets in finance," CeMMAP working papers CWP04/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Emre Kocatulum & Konrad Menzel, 2012. "Inference on sets in finance," CeMMAP working papers 04/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Emre Kocatulum & Konrad Menzel, 2012. "Inference on sets in finance," CeMMAP working papers CWP46/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Otsu, Taisuke & Matsushita, Yukitoshi & Xu, Ke-Li, 2014.
"Empirical likelihood for regression discontinuity design,"
LSE Research Online Documents on Economics
58065, London School of Economics and Political Science, LSE Library.
- Taisuke Otsu & Ke-Li Xu, 2011. "Empirical Likelihood for Regression Discontinuity Design," Cowles Foundation Discussion Papers 1799, Cowles Foundation for Research in Economics, Yale University.
- Otsu, Taisuke & Xu, Ke-Li & Matsushita, Yukitoshi, 2015. "Empirical likelihood for regression discontinuity design," Journal of Econometrics, Elsevier, vol. 186(1), pages 94-112.
- Otsu, Taisuke & Xu, Ke-Li & Matsushita, Yukitoshi, 2015. "Empirical likelihood for regression discontinuity design," LSE Research Online Documents on Economics 58513, London School of Economics and Political Science, LSE Library.
- Yukitoshi Matsushita & Taisuke Otsu & Ke-Li Xu, 2014. "Empirical Likelihood for Regression Discontinuity Design," STICERD - Econometrics Paper Series 573, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Ivan A. Canay & Azeem M. Shaikh, 2016.
"Practical and theoretical advances in inference for partially identified models,"
CeMMAP working papers
CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers 05/16, Institute for Fiscal Studies.
- 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 & R. Kumar, 2020. "A Geometric Approach to Inference in Set identified Entry Games," Post-Print hal-03849554, HAL.
- Christian Bontemps & Rohit Kumar, 2020. "A Geometric Approach to Inference in Set-Identified Entry Games," Post-Print hal-02137356, HAL.
- 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.
- Sukjin Han & Hiroaki Kaido & Lorenzo Magnolfi, 2024. "Testing Information Ordering for Strategic Agents," Papers 2402.19425, arXiv.org.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016.
"Confidence Intervals for Projections of Partially Identified Parameters,"
Papers
1601.00934, arXiv.org, revised Jun 2019.
- Stoye, Joerg & Kaido, Hiroaki & Molinari, Francesca, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145485, Verein für Socialpolitik / German Economic Association.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
- Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 02/16, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP49/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers CWP26/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019. "Confidence Intervals for Projections of Partially Identified Parameters," Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019.
"Constraint Qualifications in Partial Identification,"
Papers
1908.09103, arXiv.org, revised Apr 2021.
- Kaido, Hiroaki & Molinari, Francesca & Stoye, Jörg, 2022. "Constraint Qualifications In Partial Identification," Econometric Theory, Cambridge University Press, vol. 38(3), pages 596-619, June.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015.
"Constrained conditional moment restriction models,"
CeMMAP working papers
59/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015. "Constrained conditional moment restriction models," CeMMAP working papers CWP59/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
- Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
- Kline Patrick & Santos Andres, 2012.
"A Score Based Approach to Wild Bootstrap Inference,"
Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 23-41, August.
- Patrick M. Kline & Andres Santos, 2010. "A Score Based Approach to Wild Bootstrap Inference," NBER Working Papers 16127, National Bureau of Economic Research, Inc.
- Yuan Liao & Anna Simoni, 2019.
"Bayesian inference for partially identified smooth convex models,"
Post-Print
hal-03089881, HAL.
- Liao, Yuan & Simoni, Anna, 2019. "Bayesian inference for partially identified smooth convex models," Journal of Econometrics, Elsevier, vol. 211(2), pages 338-360.
- Qihui Chen & Zheng Fang, 2019. "Inference on Functionals under First Order Degeneracy," Papers 1901.04861, arXiv.org.
- , 2023. "Price Competition and Endogenous Product Choice in Networks: Evidence from the US airline Industry," Working Papers 950, Queen Mary University of London, School of Economics and Finance.
- Magnac, Thierry, 2014.
"Identification partielle: méthodes et conséquences pour les applications empiriques,"
TSE Working Papers
14-458, Toulouse School of Economics (TSE).
- Magnac, Thierry, 2013. "Identification partielle : méthodes et conséquences pour les applications empiriques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 233-258, Décembre.
- Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," IDEI Working Papers 814, Institut d'Économie Industrielle (IDEI), Toulouse.
- Victor H. Aguiar & Nail Kashaev & Roy Allen, 2022.
"Prices, Profits, Proxies, and Production,"
University of Western Ontario, Departmental Research Report Series
20226, University of Western Ontario, Department of Economics.
- Aguiar, Victor H. & Kashaev, Nail & Allen, Roy, 2023. "Prices, profits, proxies, and production," Journal of Econometrics, Elsevier, vol. 235(2), pages 666-693.
- Victor H. Aguiar & Roy Allen & Nail Kashaev, 2020. "Prices, Profits, Proxies, and Production," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20202, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
- Victor H. Aguiar & Nail Kashaev & Roy Allen, 2018. "Prices, Profits, Proxies, and Production," Papers 1810.04697, arXiv.org, revised Jun 2022.
- Lee, Y-Y. & Bhattacharya, D., 2018.
"Applied Welfare Analysis for Discrete Choice with Interval-data on Income,"
Cambridge Working Papers in Economics
1882, Faculty of Economics, University of Cambridge.
- Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
- Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
- Ashesh Rambachan & Jonathan Roth, 2023. "A More Credible Approach to Parallel Trends," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2555-2591.
- Francesca Molinari, 2020.
"Microeconometrics with Partial Identi?cation,"
CeMMAP working papers
CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
- Karun Adusumilli & Taisuke Otsu, 2014.
"Empirical Likelihood for Random Sets,"
STICERD - Econometrics Paper Series
574, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Karun Adusumilli & Taisuke Otsu, 2017. "Empirical Likelihood for Random Sets," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1064-1075, July.
- Adusumilli, Karun & Otsu, Taisuke, 2014. "Empirical likelihood for random sets," LSE Research Online Documents on Economics 58064, London School of Economics and Political Science, LSE Library.
- Adusumilli, Karun & Otsu, Taisuke, 2017. "Empirical likelihood for random sets," LSE Research Online Documents on Economics 76770, London School of Economics and Political Science, LSE Library.
- Christian Bontemps & Thierry Magnac, 2017.
"Set Identification, Moment Restrictions, and Inference,"
Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
- Bontemps, Christian & Magnac, Thierry, 2017. "Set Identification, Moment Restrictions and Inference," TSE Working Papers 16-752, Toulouse School of Economics (TSE).
- Christian Bontemps & Thierry Magnac, 2017. "Set identification, moment restrictions, and inference," Post-Print hal-01575813, HAL.
- Raffaella Giacomini & Toru Kitagawa, 2018.
"Robust Bayesian inference for set-identified models,"
CeMMAP working papers
CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Raffaella Giacomini & Toru Kitagawa, 2020. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP12/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Raffaella Giacomini & Toru Kitagawa, 2021. "Robust Bayesian Inference for Set‐Identified Models," Econometrica, Econometric Society, vol. 89(4), pages 1519-1556, July.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019.
"Best linear approximations to set identified functions: with an application to the gender wage gap,"
CeMMAP working papers
09/19, Institute for Fiscal Studies.
- Arun G. Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019. "Best Linear Approximations to Set Identified Functions: With an Application to the Gender Wage Gap," NBER Working Papers 25593, National Bureau of Economic Research, Inc.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019. "Best linear approximations to set identified functions: with an application to the gender wage gap," CeMMAP working papers CWP09/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Yi Zhang, 2019.
"Robust likelihood ratio tests for incomplete economic models,"
CeMMAP working papers
CWP68/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Yi Zhang, 2019. "Robust Likelihood Ratio Tests for Incomplete Economic Models," Papers 1910.04610, arXiv.org, revised Dec 2019.
- Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022.
"Inference on estimators defined by mathematical programming,"
Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
- Yu-Wei Hsieh & Xiaoxia Shi & Matthew Shum, 2017. "Inference on Estimators defined by Mathematical Programming," Papers 1709.09115, arXiv.org.
- Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Jul 2024.
- Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
- David Pacini, 2012. "Least Square Linear Prediction with Two-Sample Data," Bristol Economics Discussion Papers 12/631, School of Economics, University of Bristol, UK.
- Yuan Liao & Anna Simoni, 2016. "Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference?," Departmental Working Papers 201607, Rutgers University, Department of Economics.
- Hiroaki Kaido, 2014.
"Asymptotically efficient estimation of weighted average derivatives with an interval censored variable,"
CeMMAP working papers
03/14, Institute for Fiscal Studies.
- Patrick Kline & Andres Santos, 2013.
"Sensitivity to missing data assumptions: Theory and an evaluation of the U.S. wage structure,"
Quantitative Economics, Econometric Society, vol. 4(2), pages 231-267, July.
See citations under working paper version above.
- Patrick Kline & Andres Santos, 2010. "Sensitivity to Missing Data Assumptions: Theory and An Evaluation of the U.S. Wage Structure," NBER Working Papers 15716, National Bureau of Economic Research, Inc.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2013.
"On the Testability of Identification in Some Nonparametric Models With Endogeneity,"
Econometrica, Econometric Society, vol. 81(6), pages 2535-2559, November.
See citations under working paper version above.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2012. "On the testability of identification in some nonparametric models with endogeneity," CeMMAP working papers 18/12, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2012. "On the testability of identification in some nonparametric models with endogeneity," CeMMAP working papers CWP18/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andres Santos, 2012.
"Inference in Nonparametric Instrumental Variables With Partial Identification,"
Econometrica, Econometric Society, vol. 80(1), pages 213-275, January.
Cited by:
- Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013.
"Specification tests for partially identified models defined by moment inequalities,"
CeMMAP working papers
CWP01/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bugni, Federico A. & Canay, Ivan A. & Shi, Xiaoxia, 2015. "Specification tests for partially identified models defined by moment inequalities," Journal of Econometrics, Elsevier, vol. 185(1), pages 259-282.
- Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers 01/13, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2014. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers CWP19/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Andres Santos, 2015.
"Overidentification in Regular Models,"
Cowles Foundation Discussion Papers
1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Andres Santos, 2018. "Overidentification in Regular Models," Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
- Babii, Andrii, 2020.
"Honest Confidence Sets In Nonparametric Iv Regression And Other Ill-Posed Models,"
Econometric Theory, Cambridge University Press, vol. 36(4), pages 658-706, August.
- Andrii Babii, 2016. "Honest Confidence Sets in Nonparametric IV Regression and Other Ill-Posed Models," Papers 1611.03015, arXiv.org, revised Dec 2020.
- Babii, Andrii, 2017. "Honest confidence sets in nonparametric IV regression and other ill-posed models," TSE Working Papers 17-803, Toulouse School of Economics (TSE).
- Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers CWP37/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Centorrino Samuele & Feve Frederique & Florens Jean-Pierre, 2017.
"Additive Nonparametric Instrumental Regressions: A Guide to Implementation,"
Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-25, January.
- Samuele Centorrino & Frederique Feve & Jean-Pierre Florens, 2017. "Additive Nonparametric Instrumental Regressions: A Guide to Implementation," Department of Economics Working Papers 17-06, Stony Brook University, Department of Economics.
- Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019.
"Nonparametric Estimates of Demand in the California Health Insurance Exchange,"
NBER Working Papers
25827, National Bureau of Economic Research, Inc.
- Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2023. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," Econometrica, Econometric Society, vol. 91(1), pages 107-146, January.
- Yu Zhu, 2020. "Inference in nonparametric/semiparametric moment equality models with shape restrictions," Quantitative Economics, Econometric Society, vol. 11(2), pages 609-636, May.
- Chen, Qihui, 2021. "Robust and optimal estimation for partially linear instrumental variables models with partial identification," Journal of Econometrics, Elsevier, vol. 221(2), pages 368-380.
- Xiaohong Chen & Demian Pouzo, 2014.
"Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models,"
Papers
1411.1144, arXiv.org, revised Mar 2015.
- 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, 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, 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 1897RR, Cowles Foundation for Research in Economics, Yale University, revised Nov 2014.
- Breunig, Christoph, 2015. "Goodness-of-fit tests based on series estimators in nonparametric instrumental regression," Journal of Econometrics, Elsevier, vol. 184(2), pages 328-346.
- Juan Carlos Escanciano & Wei Li, 2018.
"Optimal Linear Instrumental Variables Approximations,"
Papers
1805.03275, arXiv.org, revised Feb 2020.
- Escanciano, Juan Carlos & Li, Wei, 2021. "Optimal Linear Instrumental Variables Approximations," Journal of Econometrics, Elsevier, vol. 221(1), pages 223-246.
- Breunig, Christoph & Hoderlein, Stefan, 2018.
"Specification Testing in Random Coefficient Models,"
Rationality and Competition Discussion Paper Series
77, CRC TRR 190 Rationality and Competition.
- Christoph Breunig & Stefan Hoderlein, 2018. "Specification testing in random coefficient models," Quantitative Economics, Econometric Society, vol. 9(3), pages 1371-1417, November.
- Breunig, Christoph & Hoderlein, Stefan, 2016. "Specification testing in random coefficient models," SFB 649 Discussion Papers 2015-053, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Freyberger, Joachim & Horowitz, Joel L., 2015. "Identification and shape restrictions in nonparametric instrumental variables estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 41-53.
- Shengjie Hong & Yu-Chin Hsu & Yuanyuan Wan, 2023. "Subvector inference for Varying Coefficient Models with Partial Identification," Working Papers tecipa-756, University of Toronto, Department of Economics.
- Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," CeMMAP working papers 38/14, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019.
"Testing for the presence of measurement error,"
CeMMAP working papers
CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
- Victor Chernozhukov & Christian Hansen, 2013.
"Quantile models with endogeneity,"
CeMMAP working papers
CWP25/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Christian Hansen, 2013. "Quantile models with endogeneity," CeMMAP working papers 25/13, Institute for Fiscal Studies.
- V. Chernozhukov & C. Hansen, 2013. "Quantile Models with Endogeneity," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 57-81, May.
- Victor Chernozhukov & Christian Hansen, 2013. "Quantile Models with Endogeneity," Papers 1303.7050, arXiv.org.
- Hong, Shengjie, 2017. "Inference in semiparametric conditional moment models with partial identification," Journal of Econometrics, Elsevier, vol. 196(1), pages 156-179.
- Fan, Yanqin & Liu, Ruixuan, 2018. "Partial identification and inference in censored quantile regression," Journal of Econometrics, Elsevier, vol. 206(1), pages 1-38.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015.
"Constrained conditional moment restriction models,"
CeMMAP working papers
59/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015. "Constrained conditional moment restriction models," CeMMAP working papers CWP59/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2017.
"Nonparametric instrumental variable estimation under monotonicity,"
CeMMAP working papers
CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP39/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," Papers 1507.05270, arXiv.org.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP48/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2023. "Source Condition Double Robust Inference on Functionals of Inverse Problems," Papers 2307.13793, arXiv.org.
- Isaac Loh, 2024. "Inference under partial identification with minimax test statistics," Papers 2401.13057, arXiv.org, revised Apr 2024.
- Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers CWP15/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2012.
"On the testability of identification in some nonparametric models with endogeneity,"
CeMMAP working papers
CWP18/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2012. "On the testability of identification in some nonparametric models with endogeneity," CeMMAP working papers 18/12, Institute for Fiscal Studies.
- Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2013. "On the Testability of Identification in Some Nonparametric Models With Endogeneity," Econometrica, Econometric Society, vol. 81(6), pages 2535-2559, November.
- Juan Carlos Escanciano & Lin Zhu, 2013.
"Set inferences and sensitivity analysis in semiparametric conditionally identified models,"
CeMMAP working papers
55/13, Institute for Fiscal Studies.
- Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers CWP55/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Christoph Breunig & Xiaohong Chen, 2020. "Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models," Cowles Foundation Discussion Papers 2238R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
- James L. Powell, 2017. "Identification and Asymptotic Approximations: Three Examples of Progress in Econometric Theory," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 107-124, Spring.
- Francesca Molinari, 2020.
"Microeconometrics with Partial Identi?cation,"
CeMMAP working papers
CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
- Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 31/13, Institute for Fiscal Studies.
- Marcoux, Mathieu & Russell, Thomas M. & Wan, Yuanyuan, 2024.
"A simple specification test for models with many conditional moment inequalities,"
Journal of Econometrics, Elsevier, vol. 242(1).
- Mathieu Marcoux & Thomas Russell & Yuanyuan Wan, 2023. "A Simple Specification Test for Models with Many Conditional Moment Inequalities," Working Papers tecipa-764, University of Toronto, Department of Economics.
- Andrews, Donald W.K., 2017.
"Examples of L2-complete and boundedly-complete distributions,"
Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
- Donald W.K. Andrews, 2011. "Examples of L^2-Complete and Boundedly-Complete Distributions," Cowles Foundation Discussion Papers 1801, Cowles Foundation for Research in Economics, Yale University.
- Carolina Caetano & Juan Carlos Escaniano, 2015. "Identifying Multiple Marginal Effects with a Single Binary Instrument or by Regression Discontinuity," CAEPR Working Papers 2015-009, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Liao, Yuan & Jiang, Wenxin, 2011. "Posterior consistency of nonparametric conditional moment restricted models," MPRA Paper 38700, University Library of Munich, Germany.
- Lu, Zhentong & Shi, Xiaoxia & Tao, Jing, 2023. "Semi-nonparametric estimation of random coefficients logit model for aggregate demand," Journal of Econometrics, Elsevier, vol. 235(2), pages 2245-2265.
- Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers 37/13, Institute for Fiscal Studies.
- Loh, Isaac, 2023. "Nonparametric identification and estimation with discrete instruments and regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 1257-1279.
- Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators," Papers 2110.06763, arXiv.org, revised Oct 2022.
- Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.
- Christoph Breunig & Stefan Hoderlein, 2016. "Nonparametric Specification Testing in Random Parameter Models," Boston College Working Papers in Economics 897, Boston College Department of Economics.
- Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2022. "Inference on Strongly Identified Functionals of Weakly Identified Functions," Papers 2208.08291, arXiv.org, revised Jun 2023.
- Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jean‐Jacques Forneron, 2023. "A Sieve‐SMM Estimator for Dynamic Models," Econometrica, Econometric Society, vol. 91(3), pages 943-977, May.
- Guo Yan, 2024. "A Kernelization-Based Approach to Nonparametric Binary Choice Models," Papers 2410.15734, arXiv.org.
- Joachim Freyberger & Matthew Masten, 2016.
"Compactness of infinite dimensional parameter spaces,"
CeMMAP working papers
01/16, Institute for Fiscal Studies.
- Joachim Freyberger & Matthew Masten, 2016. "Compactness of infinite dimensional parameter spaces," CeMMAP working papers CWP01/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers CWP31/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Robust inference in deconvolution," Quantitative Economics, Econometric Society, vol. 12(1), pages 109-142, January.
- Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
- Juan Carlos Escanciano & Wei Li, 2013.
"On the identification of structural linear functionals,"
CeMMAP working papers
48/13, Institute for Fiscal Studies.
- Juan Carlos Escanciano & Wei Li, 2013. "On the identification of structural linear functionals," CeMMAP working papers CWP48/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Horowitz, Joel L., 2021. "Bounding the difference between true and nominal rejection probabilities in tests of hypotheses about instrumental variables models," Journal of Econometrics, Elsevier, vol. 222(2), pages 1057-1082.
- Kaido, Hiroaki & White, Halbert, 2014. "A two-stage procedure for partially identified models," Journal of Econometrics, Elsevier, vol. 182(1), pages 5-13.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 39/15, Institute for Fiscal Studies.
- Fan, Yanqin & Shi, Xuetao & Tao, Jing, 2023. "Partial identification and inference in moment models with incomplete data," Journal of Econometrics, Elsevier, vol. 235(2), pages 418-443.
- Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 15/12, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013.
"Specification tests for partially identified models defined by moment inequalities,"
CeMMAP working papers
CWP01/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kline, Patrick & Santos, Andres, 2012.
"Higher order properties of the wild bootstrap under misspecification,"
Journal of Econometrics, Elsevier, vol. 171(1), pages 54-70.
See citations under working paper version above.
- Patrick M. Kline & Andres Santos, 2011. "Higher Order Properties of the Wild Bootstrap Under Misspecification," NBER Working Papers 16793, National Bureau of Economic Research, Inc.
- Kline Patrick & Santos Andres, 2012.
"A Score Based Approach to Wild Bootstrap Inference,"
Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 23-41, August.
See citations under working paper version above.
- Patrick M. Kline & Andres Santos, 2010. "A Score Based Approach to Wild Bootstrap Inference," NBER Working Papers 16127, National Bureau of Economic Research, Inc.
- Yuichi Kitamura & Andres Santos & Azeem M. Shaikh, 2012.
"On the Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions,"
Econometrica, Econometric Society, vol. 80(1), pages 413-423, January.
See citations under working paper version above.
- Yuichi Kitamura & Andres Santos & Azeem M. Shaikh, 2009. "On the Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions," Cowles Foundation Discussion Papers 1722, Cowles Foundation for Research in Economics, Yale University.
- Santos, Andres, 2011.
"Instrumental variable methods for recovering continuous linear functionals,"
Journal of Econometrics, Elsevier, vol. 161(2), pages 129-146, April.
Cited by:
- Xiaohong Chen & Andres Santos, 2015.
"Overidentification in Regular Models,"
Cowles Foundation Discussion Papers
1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Andres Santos, 2018. "Overidentification in Regular Models," Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
- Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2011.
"Local identification of nonparametric and semiparametric models,"
CeMMAP working papers
17/11, Institute for Fiscal Studies.
- Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney Newey, 2011. "Local Identification of Nonparametric and Semiparametric Models," Cowles Foundation Discussion Papers 1795, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney K. Newey, 2014. "Local Identification of Nonparametric and Semiparametric Models," Econometrica, Econometric Society, vol. 82(2), pages 785-809, March.
- Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2012. "Local identification of nonparametric and semiparametric models," CeMMAP working papers CWP37/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2012. "Local identification of nonparametric and semiparametric models," CeMMAP working papers 37/12, Institute for Fiscal Studies.
- Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney Newey, 2011. "Local Identification of Nonparametric and Semiparametric Models," Cowles Foundation Discussion Papers 1795R, Cowles Foundation for Research in Economics, Yale University, revised Nov 2012.
- Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2011. "Local identification of nonparametric and semiparametric models," CeMMAP working papers CWP17/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chen, Qihui, 2021. "Robust and optimal estimation for partially linear instrumental variables models with partial identification," Journal of Econometrics, Elsevier, vol. 221(2), pages 368-380.
- Xiaohong Chen & Demian Pouzo, 2014.
"Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models,"
Papers
1411.1144, arXiv.org, revised Mar 2015.
- 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, 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, 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 1897RR, Cowles Foundation for Research in Economics, Yale University, revised Nov 2014.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022.
"Locally Robust Semiparametric Estimation,"
Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers CWP31/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2018. "Locally robust semiparametric estimation," CeMMAP working papers CWP30/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers 31/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised Aug 2020.
- Juan Carlos Escanciano & Wei Li, 2018.
"Optimal Linear Instrumental Variables Approximations,"
Papers
1805.03275, arXiv.org, revised Feb 2020.
- Escanciano, Juan Carlos & Li, Wei, 2021. "Optimal Linear Instrumental Variables Approximations," Journal of Econometrics, Elsevier, vol. 221(1), pages 223-246.
- Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," CeMMAP working papers 38/14, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2017.
"The influence function of semiparametric estimators,"
CeMMAP working papers
06/17, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2022. "The influence function of semiparametric estimators," Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.
- Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers CWP06/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers CWP44/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The Influence Function of Semiparametric Estimators," CIRJE F-Series CIRJE-F-985, CIRJE, Faculty of Economics, University of Tokyo.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers 44/15, Institute for Fiscal Studies.
- Chen, Jiafeng & Chen, Xiaohong & Tamer, Elie, 2023. "Efficient estimation of average derivatives in NPIV models: Simulation comparisons of neural network estimators," Journal of Econometrics, Elsevier, vol. 235(2), pages 1848-1875.
- Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation of Average Derivatives in NPIV Models: Simulation Comparisons of Neural Network Estimators," Cowles Foundation Discussion Papers 2319, Cowles Foundation for Research in Economics, Yale University.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015.
"Constrained conditional moment restriction models,"
CeMMAP working papers
59/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015. "Constrained conditional moment restriction models," CeMMAP working papers CWP59/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
- Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2023. "Source Condition Double Robust Inference on Functionals of Inverse Problems," Papers 2307.13793, arXiv.org.
- Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
- Juan Carlos Escanciano, 2020.
"Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity,"
Papers
2005.08611, arXiv.org.
- Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
- Schennach, Susanne & White, Halbert & Chalak, Karim, 2012.
"Local indirect least squares and average marginal effects in nonseparable structural systems,"
Journal of Econometrics, Elsevier, vol. 166(2), pages 282-302.
- Susanne Schennach & Halbert White & Karim Chalak, 2007. "Local Indirect Least Squares and Average Marginal Effects in Nonseparable Structural Systems," Boston College Working Papers in Economics 680, Boston College Department of Economics, revised 26 Dec 2009.
- Liao, Yuan & Jiang, Wenxin, 2011. "Posterior consistency of nonparametric conditional moment restricted models," MPRA Paper 38700, University Library of Munich, Germany.
- Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2022. "Inference on Strongly Identified Functionals of Weakly Identified Functions," Papers 2208.08291, arXiv.org, revised Jun 2023.
- Shi, Xiaoxia, 2015. "Model selection tests for moment inequality models," Journal of Econometrics, Elsevier, vol. 187(1), pages 1-17.
- Zhang, Jeffrey & Li, Wei & Miao, Wang & Tchetgen Tchetgen, Eric, 2023. "Proximal causal inference without uniqueness assumptions," Statistics & Probability Letters, Elsevier, vol. 198(C).
- Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Robust inference in deconvolution," Quantitative Economics, Econometric Society, vol. 12(1), pages 109-142, January.
- Centorrino, Samuele & Florens, Jean-Pierre, 2021. "Nonparametric Instrumental Variable Estimation of Binary Response Models with Continuous Endogenous Regressors," Econometrics and Statistics, Elsevier, vol. 17(C), pages 35-63.
- Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2023. "Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness," Papers 2302.05404, arXiv.org.
- Juan Carlos Escanciano & Wei Li, 2013.
"On the identification of structural linear functionals,"
CeMMAP working papers
48/13, Institute for Fiscal Studies.
- Juan Carlos Escanciano & Wei Li, 2013. "On the identification of structural linear functionals," CeMMAP working papers CWP48/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Laurent Davezies & Xavier d'Haultfoeuille, 2013. "Endogenous Attrition in Panels," Working Papers 2013-17, Center for Research in Economics and Statistics.
- Xiaohong Chen & Andres Santos, 2015.
"Overidentification in Regular Models,"
Cowles Foundation Discussion Papers
1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- Ivana Komunjer & Andres Santos, 2010.
"Semi-parametric estimation of non-separable models: a minimum distance from independence approach,"
Econometrics Journal, Royal Economic Society, vol. 13(3), pages 28-55, October.
See citations under working paper version above.
- Komunjer, Ivana & Santos, Andres, 2009. "Semiparametric Estimation of Nonseparable Models: A Minimum Distance from Independence Approach," University of California at San Diego, Economics Working Paper Series qt32k957bp, Department of Economics, UC San Diego.