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Matrix Completion Methods for Causal Panel Data Models
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Cited by:
- Hugo Freeman & Martin Weidner, 2021.
"Low-rank approximations of nonseparable panel models,"
The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 40-77.
- Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2021. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP10/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Eli Ben‐Michael & Avi Feller & Jesse Rothstein, 2022.
"Synthetic controls with staggered adoption,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 351-381, April.
- Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2019. "Synthetic Controls with Staggered Adoption," Papers 1912.03290, arXiv.org, revised Jan 2021.
- Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2021. "Synthetic Controls with Staggered Adoption," NBER Working Papers 28886, National Bureau of Economic Research, Inc.
- Nuno Garoupa & Rok Spruk, 2024. "Populist Constitutional Backsliding and Judicial Independence: Evidence from Turkiye," Papers 2410.02439, arXiv.org.
- Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
- Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
- Ibtihal Ferwana & Lav R. Varshney, 2022. "Optimal Recovery for Causal Inference," Papers 2208.06729, arXiv.org, revised Dec 2023.
- Abhijit Mandal & Beste Hamiye Beyaztas & Soutir Bandyopadhyay, 2023. "Robust density power divergence estimates for panel data models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(5), pages 773-798, October.
- Ignacio Martinez & Jaume Vives-i-Bastida, 2022. "Bayesian and Frequentist Inference for Synthetic Controls," Papers 2206.01779, arXiv.org, revised Jul 2024.
- Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
- Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2021.
"An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1849-1864, October.
- Victor Chernozhukov & Kaspar Wüthrich & Yu Zhu, 2017. "An exact and robust conformal inference method for counterfactual and synthetic controls," CeMMAP working papers 62/17, Institute for Fiscal Studies.
- Chernozhukov, Victor & Wüthrich, Kaspar & Zhu, Yinchu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," University of California at San Diego, Economics Working Paper Series qt90m9d66s, Department of Economics, UC San Diego.
- Victor Chernozhukov & Kaspar Wüthrich & Yu Zhu, 2017. "An exact and robust conformal inference method for counterfactual and synthetic controls," CeMMAP working papers CWP62/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2017. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Papers 1712.09089, arXiv.org, revised May 2021.
- Jack (Peiyao) Ma & Andrea Mantovani & Carlo Reggiani & Annette Broocks & Néstor Duch-Brown, 2024. "The Price Effects of Prohibiting Price Parity Clauses: Evidence from International Hotel Groups," Economics Series Working Papers 1043, University of Oxford, Department of Economics.
- Mideksa, Torben K., 2024.
"Pricing for a cooler planet: An empirical analysis of the effect of taxing carbon,"
Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
- Torben K. Mideksa, 2021. "Pricing for a Cooler Planet: An Empirical Analysis of the Effect of Taxing Carbon," CESifo Working Paper Series 9172, CESifo.
- Irene Botosaru & Bruno Ferman, 2019.
"On the role of covariates in the synthetic control method,"
The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
- Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
- Lionel Fontagn'e & Francesca Micocci & Armando Rungi, 2024. "The heterogeneous impact of the EU-Canada agreement with causal machine learning," Papers 2407.07652, arXiv.org, revised Jul 2024.
- Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
- Jin, Sainan & Miao, Ke & Su, Liangjun, 2021.
"On factor models with random missing: EM estimation, inference, and cross validation,"
Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
- Su, Liangjun & Miao, Ke & Jin, Sainan, 2019. "On Factor Models with Random Missing: EM Estimation, Inference, and Cross Validation," Economics and Statistics Working Papers 4-2019, Singapore Management University, School of Economics.
- Denis Fougère & Nicolas Jacquemet, 2020.
"Policy Evaluation Using Causal Inference Methods,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," PSE-Ecole d'économie de Paris (Postprint) hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Working Papers hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Post-Print hal-03098058, HAL.
- Fougère, Denis & Jacquemet, Nicolas, 2020. "Policy Evaluation Using Causal Inference Methods," IZA Discussion Papers 12922, Institute of Labor Economics (IZA).
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03098058, HAL.
- Cahan, Ercument & Bai, Jushan & Ng, Serena, 2023.
"Factor-based imputation of missing values and covariances in panel data of large dimensions,"
Journal of Econometrics, Elsevier, vol. 233(1), pages 113-131.
- Ercument Cahan & Jushan Bai & Serena Ng, 2021. "Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions," Papers 2103.03045, arXiv.org, revised Feb 2022.
- Mantovani, Andrea & Reggiani, Carlo & Broocks, Annette & Duch-Brown, Nestor & Ma, Peiyao, 2022. "The Price Effects of Banning Price Parity Clauses in the EU: Evidence from International Hotel Groups," TSE Working Papers 22-1371, Toulouse School of Economics (TSE).
- Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wüthrich, 2022.
"Selection and Parallel Trends,"
CESifo Working Paper Series
9910, CESifo.
- Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
- Choi, Jungjun & Kwon, Hyukjun & Liao, Yuan, 2024. "Inference for low-rank completion without sample splitting with application to treatment effect estimation," Journal of Econometrics, Elsevier, vol. 240(1).
- Kirill Borusyak & Peter Hull, 2023. "Nonrandom Exposure to Exogenous Shocks," Econometrica, Econometric Society, vol. 91(6), pages 2155-2185, November.
- Wei Tian, 2023. "Individual Causal Inference Using Panel Data With Multiple Outcomes," Papers 2306.01969, arXiv.org.
- Muhammad Jehangir Amjad & Devavrat Shah & Dennis Shen, 2017. "Robust Synthetic Control," Papers 1711.06940, arXiv.org.
- Vanessa Boese-Schlosser & Markus Eberhardt, 2023.
"How does democracy cause growth?,"
Discussion Papers
2023-13, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
- Boese-Schlosser, Vanessa A. & Eberhardt, Markus, 2023. "How Does Democracy Cause Growth?," Discussion Papers, Research Unit: Transformations of Democracy SP V 2023-501, WZB Berlin Social Science Center.
- 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.
- Eberhardt, Markus, 2022.
"Democracy, growth, heterogeneity, and robustness,"
European Economic Review, Elsevier, vol. 147(C).
- Eberhardt, Markus, 2021. "Democracy, Growth, Heterogeneity, and Robustness," CEPR Discussion Papers 16719, C.E.P.R. Discussion Papers.
- Markus Eberhardt, 2021. "Democracy, growth, heterogeneity, and robustness," Discussion Papers 2021-02, University of Nottingham, GEP.
- Yiping Lu & Jiajin Li & Lexing Ying & Jose Blanchet, 2022. "Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls," Papers 2211.15241, arXiv.org.
- Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019.
"Ensemble Methods for Causal Effects in Panel Data Settings,"
AEA Papers and Proceedings, American Economic Association, vol. 109, pages 65-70, May.
- Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019. "Ensemble Methods for Causal Effects in Panel Data Settings," NBER Working Papers 25675, National Bureau of Economic Research, Inc.
- Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019. "Ensemble Methods for Causal Effects in Panel Data Settings," Papers 1903.10079, arXiv.org.
- Feliu Serra-Burriel & Pedro Delicado & Fernando M. Cucchietti, 2021. "Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis," Mathematics, MDPI, vol. 9(11), pages 1-22, June.
- David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
- Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019.
"High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing,"
Papers
1912.02151, arXiv.org, revised Aug 2022.
- Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," The Warwick Economics Research Paper Series (TWERPS) 1230, University of Warwick, Department of Economics.
- Cerqua, Augusto & Letta, Marco, 2022.
"Local inequalities of the COVID-19 crisis,"
Regional Science and Urban Economics, Elsevier, vol. 92(C).
- Cerqua, Augusto & Letta, Marco, 2021. "Local inequalities of the COVID-19 crisis," GLO Discussion Paper Series 875, Global Labor Organization (GLO).
- Incerti, Trevor, 2024. "Who benefits from the revolving door? Evidence from Japan," OSF Preprints cmt7j, Center for Open Science.
- Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.
- Lluc Puig-Codina & Jaime Pinilla & Jaume Puig-Junoy, 2021. "The impact of taxing sugar-sweetened beverages on cola purchasing in Catalonia: an approach to causal inference with time series cross-sectional data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 155-168, February.
- Anish Agarwal & Vasilis Syrgkanis, 2022. "Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime," Papers 2210.11003, arXiv.org.
- Yu-Kai Lin & Arun Rai, 2024. "The Scope of Software Patent Protection in the Digital Age: Evidence from Alice," Information Systems Research, INFORMS, vol. 35(2), pages 657-672, June.
- Alberto Abadie & Jaume Vives-i-Bastida, 2022. "Synthetic Controls in Action," Papers 2203.06279, arXiv.org.
- Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2024.
"Optimal Experimental Design for Staggered Rollouts,"
Management Science, INFORMS, vol. 70(8), pages 5317-5336, August.
- Athey, Susan & Imbens, Guido W. & Bayati, Mohsen, 2019. "Optimal Experimental Design for Staggered Rollouts," Research Papers 3837, Stanford University, Graduate School of Business.
- Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.
- Rüttenauer, Tobias & Kapelle, Nicole, 2024. "Panel Data Analysis," SocArXiv 3mfzq, Center for Open Science.
- Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176R, Cowles Foundation for Research in Economics, Yale University, revised Sep 2020.
- Giorgio Gnecco & Sara Landi & Massimo Riccaboni, 2024. "The emergence of social soft skill needs in the post COVID-19 era," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 647-680, February.
- Qili Wang & Liangfei Qiu & Wei Xu, 2024. "Informal Payments and Doctor Engagement in an Online Health Community: An Empirical Investigation Using Generalized Synthetic Control," Information Systems Research, INFORMS, vol. 35(2), pages 706-726, June.
- Roberta Di Stefano & Giovanni Mellace, 2020.
"The inclusive synthetic control method,"
Working Papers
21/20, Sapienza University of Rome, DISS.
- Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
- Roberta Di Stefano & Giovanni Mellace, 2024. "The inclusive Synthetic Control Method," Papers 2403.17624, arXiv.org, revised Nov 2024.
- Qihui Chen, 2022. "A Unified Framework for Estimation of High-dimensional Conditional Factor Models," Papers 2209.00391, arXiv.org.
- Anil Kumar & Che-Yuan Liang, 2024.
"Labor Market Effects of Credit Constraints: Evidence from a Natural Experiment,"
American Economic Journal: Economic Policy, American Economic Association, vol. 16(3), pages 1-26, August.
- Anil Kumar & Che-Yuan Liang, 2018. "Labor Market Effects of Credit Constraints: Evidence from a Natural Experiment," Working Papers 1810, Federal Reserve Bank of Dallas, revised 04 Feb 2023.
- Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
- Rafaty, R. & Dolphin, G. & Pretis, F., 2020.
"Carbon pricing and the elasticity of CO2 emissions,"
Cambridge Working Papers in Economics
20116, Faculty of Economics, University of Cambridge.
- Rafaty, Ryan & Dolphin, Geoffroy & Pretis, Felix, 2021. "Carbon Pricing and the Elasticity of CO2 Emissions," RFF Working Paper Series 21-33, Resources for the Future.
- Ryan Rafaty & Geoffroy Dolphin & Felix Pretis, 2020. "Carbon pricing and the elasticity of CO2 emissions," Working Papers EPRG2035, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Ryan Rafaty & Geoffroy Dolphin & Felix Pretis, 2020. "Carbon Pricing and the Elasticity of CO2 Emissions," Working Papers Series inetwp140, Institute for New Economic Thinking.
- Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
- Xiong, Ruoxuan & Pelger, Markus, 2023.
"Large dimensional latent factor modeling with missing observations and applications to causal inference,"
Journal of Econometrics, Elsevier, vol. 233(1), pages 271-301.
- Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
- Li, Xingyu & Shen, Yan & Zhou, Qiankun, 2024.
"Confidence intervals of treatment effects in panel data models with interactive fixed effects,"
Journal of Econometrics, Elsevier, vol. 240(1).
- Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
- Kanishka Misra & Vishal Singh & Qianyun (Poppy) Zhang, 2022. "Frontiers: Impact of Stay-at-Home-Orders and Cost-of-Living on Stimulus Response: Evidence from the CARES Act," Marketing Science, INFORMS, vol. 41(2), pages 211-229, March.
- Victor Chernozhukov & Christian Hansen & Yuan Liao & Yinchu Zhu, 2019. "Inference for heterogeneous effects using low-rank estimations," CeMMAP working papers CWP31/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Tomasz Serwach, 2023. "The European Union and within‐country income inequalities. The case of the new member states," The World Economy, Wiley Blackwell, vol. 46(7), pages 1890-1939, July.
- Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176R2, Cowles Foundation for Research in Economics, Yale University, revised Jun 2021.
- Abhineet Agarwal & Anish Agarwal & Suhas Vijaykumar, 2023. "Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions," Papers 2303.14226, arXiv.org, revised Jan 2024.
- Léa BOU SLEIMAN & Germain GAUTHIER, 2020. "COVID-19: Reduced forms have gone viral, but what do they tell us?," Working Papers 2020-32, Center for Research in Economics and Statistics, revised 18 Jan 2021.
- Michał Marcin Kobierecki & Michał Pierzgalski, 2022. "Sports Mega-Events and Economic Growth: A Synthetic Control Approach," Journal of Sports Economics, , vol. 23(5), pages 567-597, June.
- Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
- Peter G. Klein & Robert Wuebker, 2020. "Corporate diversification and innovation: Managerial myopia or inefficient internal capital markets?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1403-1416, December.
- Cengiz, Doruk & Tekgüç, Hasan, 2024. "Counterfactual reconciliation: Incorporating aggregation constraints for more accurate causal effect estimates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 564-580.
- Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
- Dallas Dotter & Duncan Chaplin & Maria Bartlett, "undated". "Impacts of School Reforms in Washington, DC on Student Achievement," Mathematica Policy Research Reports 44e95d7566434a21b8d57f951, Mathematica Policy Research.
- Bogatyrev, Konstantin & Stoetzer, Lukas, 2024. "Synthetic Control Methods for Proportions," OSF Preprints brhd3, Center for Open Science.
- Ziwei Mei & Peter C. B. Phillips & Zhentao Shi, 2022.
"The boosted HP filter is more general than you might think,"
Papers
2209.09810, arXiv.org, revised Apr 2024.
- Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
- Zhengge Tu & Jiayang Kong & Renjun Shen, 2022. "Smart City Projects Boost Urban Energy Efficiency in China," Sustainability, MDPI, vol. 14(3), pages 1-16, February.
- Keegan Harris & Anish Agarwal & Chara Podimata & Zhiwei Steven Wu, 2022. "Strategyproof Decision-Making in Panel Data Settings and Beyond," Papers 2211.14236, arXiv.org, revised Dec 2023.
- Apoorva Lal & Daniel M Thompson, 2023. "Did Private Election Administration Funding Advantage Democrats in 2020?," Papers 2310.05275, arXiv.org.
- Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
- Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
- Finer, David Andrew, 2022. "No Shock Waves through Wall Street? Market Responses to the Risk of Nuclear War," Working Papers 318, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
- Subodha Kumar & Liangfei Qiu & Arun Sen & Atish P. Sinha, 2022. "Putting analytics into action in care coordination research: Emerging issues and potential solutions," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2714-2738, June.
- Andersson, Henrik & Blind, Ina & Brunåker, Fabian & Dahlberg, Matz & Fredriksson, Greta & Granath, Jakob & Liang, Che-Yuan, 2023. "What's in a Label? On Neighbourhood Labelling, Stigma and Housing Prices," SocArXiv xu759, Center for Open Science.
- Anish Agarwal & Munther Dahleh & Devavrat Shah & Dennis Shen, 2021. "Causal Matrix Completion," Papers 2109.15154, arXiv.org.
- Giulio Grossi, 2023. "The policy is always greener: impact heterogeneity of Covid-19 vaccination lotteries in the US," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1351-1375, October.
- Cameron M. Ellis & Martin F. Grace & Rhet A. Smith & Juan Zhang, 2022. "Medical cannabis and automobile accidents: Evidence from auto insurance," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1878-1897, September.
- Jin Liu & Xingchen Xu & Xi Nan & Yongjun Li & Yong Tan, 2023. ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers 2308.05201, arXiv.org, revised Jun 2024.
- Yiren Wang & Liangjun Su & Yichong Zhang, 2022. "Low-rank Panel Quantile Regression: Estimation and Inference," Papers 2210.11062, arXiv.org.
- Wei Tian & Seojeong Lee & Valentyn Panchenko, 2023. "Synthetic Controls with Multiple Outcomes," Papers 2304.02272, arXiv.org, revised Jul 2024.
- Seonghoon Kim & Kanghyock Koh, 2022. "Health insurance and subjective well‐being: Evidence from two healthcare reforms in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 233-249, January.
- Chen Liang & Murat Tunc & Gordon Burtch, 2024. "The Market Consequences of Perceived Strategic Generosity: An Empirical Examination of NFT Charity Fundraisers," Papers 2401.12064, arXiv.org, revised Dec 2024.
- Cong Wang, 2024. "Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis," Papers 2408.09271, arXiv.org, revised Sep 2024.
- Dinesh Puranam & Vrinda Kadiyali & Vishal Narayan, 2021. "The Impact of Increase in Minimum Wages on Consumer Perceptions of Service: A Transformer Model of Online Restaurant Reviews," Marketing Science, INFORMS, vol. 40(5), pages 985-1004, September.
- Jungjun Choi & Hyukjun Kwon & Yuan Liao, 2023. "Inference for Low-rank Completion without Sample Splitting with Application to Treatment Effect Estimation," Papers 2307.16370, arXiv.org.
- Yang Zhou & Shigeto Kitano, 2024. "Effects of Capital Flow Management Measures on Wealth Inequality: New Evidence from Counterfactual Estimators," Discussion Paper Series DP2024-30, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2024.
- Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
- Mani Bayani, 2021. "Robust PCA Synthetic Control," Papers 2108.12542, arXiv.org, revised Oct 2021.
- Greta Laage & Emma Frejinger & Andrea Lodi & Guillaume Rabusseau, 2021. "Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?," Papers 2101.10249, arXiv.org, revised Jun 2021.
- Alberto Abadie & Anish Agarwal & Raaz Dwivedi & Abhin Shah, 2024. "Doubly Robust Inference in Causal Latent Factor Models," Papers 2402.11652, arXiv.org, revised Oct 2024.
- Jungjun Choi & Hyukjun Kwon & Yuan Liao, 2023. "Inference for Low-rank Models without Estimating the Rank," Papers 2311.16440, arXiv.org, revised Oct 2024.
- Luis Costa & Vivek F. Farias & Patricio Foncea & Jingyuan (Donna) Gan & Ayush Garg & Ivo Rosa Montenegro & Kumarjit Pathak & Tianyi Peng & Dusan Popovic, 2023. "Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure," Interfaces, INFORMS, vol. 53(5), pages 336-349, September.
- Alrababa’H, Ala’ & Marble, William & Mousa, Salma & Siegel, Alexandra A., 2021. "Can Exposure to Celebrities Reduce Prejudice? The Effect of Mohamed Salah on Islamophobic Behaviors and Attitudes," American Political Science Review, Cambridge University Press, vol. 115(4), pages 1111-1128, November.
- Shan Huang & Chen Wang & Yuan Yuan & Jinglong Zhao & Brocco & Zhang, 2023. "Estimating Effects of Long-Term Treatments," Papers 2308.08152, arXiv.org, revised Dec 2024.
- Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2023. "Same Root Different Leaves: Time Series and Cross‐Sectional Methods in Panel Data," Econometrica, Econometric Society, vol. 91(6), pages 2125-2154, November.
- Marc K. Chan & Simon S. Kwok, 2022.
"The PCDID Approach: Difference-in-Differences When Trends Are Potentially Unparallel and Stochastic,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1216-1233, June.
- Chan, Mark K. & Kwok, Simon, 2020. "The PCDID Approach: Difference-in-Differences when Trends are Potentially Unparallel and Stochastic," Working Papers 2020-03, University of Sydney, School of Economics.
- Dmitry Arkhangelsky & Guido Imbens, 2018. "Fixed Effects and the Generalized Mundlak Estimator," Papers 1807.02099, arXiv.org, revised Aug 2023.
- Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 13/22, Monash University, Department of Econometrics and Business Statistics.
- Dmitry Arkhangelsky & Aleksei Samkov, 2024. "Sequential Synthetic Difference in Differences," Papers 2404.00164, arXiv.org.
- Ramah Al Balawi & Yuheng Hu & Liangfei Qiu, 2023. "Brand Crisis and Customer Relationship Management on Social Media: Evidence from a Natural Experiment from the Airline Industry," Information Systems Research, INFORMS, vol. 34(2), pages 442-462, June.
- Bennato, Anna Rita & Davies, Stephen & Mariuzzo, Franco & Ormosi, Peter, 2021. "Mergers and innovation: Evidence from the hard disk drive market," International Journal of Industrial Organization, Elsevier, vol. 77(C).
- Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
- Tomasz Serwach, 2022. "The European Union and within-country income inequalities. The case of the New Member States," Working Papers hal-03548416, HAL.
- Dor Leventer & Daniel Nevo, 2024. "Correcting invalid regression discontinuity designs with multiple time period data," Papers 2408.05847, arXiv.org.
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