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Cristine Campos de Xavier Pinto

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.

    Mentioned in:

    1. Inverse Probability Tilting for Moment Condition Models with Missing Data (REStud 2012) in ReplicationWiki ()

Working papers

  1. Bruno Ferman & Cristine Pinto, 2019. "Synthetic Controls with Imperfect Pre-Treatment Fit," Papers 1911.08521, arXiv.org, revised Jan 2021.

    Cited by:

    1. Masahiro Kato & Akari Ohda & Masaaki Imaizumi & Kenichiro McAlinn, 2023. "Synthetic Control Methods by Density Matching under Implicit Endogeneity," Papers 2307.11127, arXiv.org, revised Jul 2023.
    2. Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
    3. Ignacio Martinez & Jaume Vives-i-Bastida, 2022. "Bayesian and Frequentist Inference for Synthetic Controls," Papers 2206.01779, arXiv.org, revised Feb 2023.
    4. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    5. Daouda Bamba, 2023. "Assessing the impact of used vehicle imports ban policy: Evidence from Côte d’Ivoire," CERDI Working papers hal-04391362, HAL.
    6. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
    7. Pier Basaglia & Sophie Behr & Moritz A. Drupp, 2023. "De-Fueling Externalities: How Tax Salience and Fuel Substitution Mediate Climate and Health Benefits," Discussion Papers of DIW Berlin 2041, DIW Berlin, German Institute for Economic Research.
    8. 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.
    9. Avdic, Daniel & Ivets, Maryna & Lagerqvist, Bo & Sriubaite, Ieva, 2021. "Providers, Peers and Patients: How do Physicians’ Practice Environments Affect Patient Outcomes?," CINCH Working Paper Series (since 2020) 74000, Duisburg-Essen University Library, DuEPublico.
    10. Avdic, Daniel & von Hinke, Stephanie, 2021. "Extending alcohol retailers’ opening hours: Evidence from Sweden," European Economic Review, Elsevier, vol. 138(C).
    11. 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.
    12. Xiaomeng Zhang & Wendun Wang & Xinyu Zhang, 2022. "Asymptotic Properties of the Synthetic Control Method," Papers 2211.12095, arXiv.org.
    13. Tello-Pacheco, Mario, 2023. "Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 42(75), pages 161-195, January.
    14. Pier Basaglia & Sophie M. Behr & Moritz A. Drupp, 2023. "De-Fueling Externalities: Causal Effects of Fuel Taxation and Mediating Mechanisms for Reducing Climate and Pollution Costs," CESifo Working Paper Series 10508, CESifo.
    15. Loukas Karabarbounis & Jeremy Lise & Anusha Nath, 2022. "Minimum Wages and Labor Markets in the Twin Cities," Working Papers 793, Federal Reserve Bank of Minneapolis.
    16. 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.
    17. Dench, Daniel & Pineda-Torres, Mayra & Myers, Caitlin Knowles, 2023. "The Effects of the Dobbs Decision on Fertility," IZA Discussion Papers 16608, Institute of Labor Economics (IZA).
    18. Aaron Adalja & Jūra Liaukonytė & Emily Wang & Xinrong Zhu, 2023. "GMO and Non-GMO Labeling Effects: Evidence from a Quasi-Natural Experiment," Marketing Science, INFORMS, vol. 42(2), pages 233-250, March.
    19. Alberto Abadie & Jaume Vives-i-Bastida, 2022. "Synthetic Controls in Action," Papers 2203.06279, arXiv.org.
    20. Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
    21. Bilbao-Goyoaga, Eugenia, 2023. "Perceptions Matter: Quasi-Experimental Evidence on the Effects of Minimum Income on Objective and Subjective Financial Wellbeing in Spain," SocArXiv wv7xt, Center for Open Science.
    22. Wei Tian & Seojeong Lee & Valentyn Panchenko, 2023. "Synthetic Controls with Multiple Outcomes: Estimating the Effects of Non-Pharmaceutical Interventions in the COVID-19 Pandemic," Discussion Papers 2023-05, School of Economics, The University of New South Wales.
    23. 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.
    24. Demirci, Murat, 2023. "Youth responses to political populism: Education abroad as a step toward emigration," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 653-673.
    25. Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers 2023-07, University of Connecticut, Department of Economics.
    26. Grier, Kevin & Mahmood, Towhid & Powell, Benjamin, 2023. "Anti-sweatshop activism and the safety-employment tradeoff: Evidence from Bangladesh's Rana Plaza disaster," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 174-190.
    27. Jiafeng Chen, 2022. "Synthetic Control As Online Linear Regression," Papers 2202.08426, arXiv.org, revised Nov 2022.
    28. Clarke, Damian & Pailañir, Daniel & Athey, Susan & Imbens, Guido W., 2023. "Synthetic Difference-in-Differences Estimation," IZA Discussion Papers 15907, Institute of Labor Economics (IZA).
    29. Barros, Fernando & Delalibera, Bruno R. & Neto, Valdemar Pinho & Rodrigues, Victor, 2022. "Bonus for firearms seizures and police performance," Economics Letters, Elsevier, vol. 217(C).
    30. Erick Lahura & Rosario Sabrera, 2023. "The effect of infrastructure investment on tourism demand: a synthetic control approach for the case of Kuelap, Peru," Empirical Economics, Springer, vol. 65(1), pages 443-478, July.
    31. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Mar 2024.
    32. Guillaume Allaire Pouliot & Zhen Xie, 2022. "Degrees of Freedom and Information Criteria for the Synthetic Control Method," Papers 2207.02943, arXiv.org.
    33. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "scpi: Uncertainty Quantification for Synthetic Control Methods," Papers 2202.05984, arXiv.org, revised Oct 2022.
    34. Luis Alvarez & Bruno Ferman, 2023. "Extensions for Inference in Difference-in-Differences with Few Treated Clusters," Papers 2302.03131, arXiv.org.
    35. Bruno Ferman & Gaute Torsvik & Kjell Vaage, 2023. "Skipping the doctor: evidence from a case with extended self-certification of paid sick leave," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 935-971, April.
    36. Timo Schenk, 2023. "Time-Weighted Difference-in-Differences: Accounting for Common Factors in Short T Panels," Tinbergen Institute Discussion Papers 23-004/III, Tinbergen Institute.
    37. Dmitry Arkhangelsky & Aleksei Samkov, 2024. "Sequential Synthetic Difference in Differences," Papers 2404.00164, arXiv.org.
    38. 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.
    39. Aleksandar Keseljevic & Rok Spruk, 2022. "Estimating the Effects of Syrian Civil War," Papers 2209.03046, arXiv.org.
    40. Gabriel, Ricardo Duque & Pessoa, Ana Sofia, 2020. "Adopting the Euro: a synthetic control approach," MPRA Paper 99391, University Library of Munich, Germany.
    41. Kim, Youngho, 2023. "Payments for Ecosystem Services Programs and Climate Change Adaptation in Agriculture," 2023 Annual Meeting, July 23-25, Washington D.C. 335971, Agricultural and Applied Economics Association.
    42. Rong J. B. Zhu, 2023. "Synthetic Regressing Control Method," Papers 2306.02584, arXiv.org, revised Oct 2023.

  2. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.

    Cited by:

    1. Whitney K. Newey & Sami Stouli, 2018. "Heterogenous coefficients, discrete instruments, and identification of treatment effects," CeMMAP working papers CWP66/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov, 2019. "Semi-Parametric Efficient Policy Learning with Continuous Actions," Papers 1905.10116, arXiv.org, revised Jul 2019.
    3. Ohanisian Alina & Levchenko Nataliia & Shyshkanova Ganna & Abuselidze George & Prykhodko Volodymyr & Banchuk-Petrosova Olena, 2022. "Organic farms are the fundamental basis for the sustainable foreign economic activities of agrarians in Ukraine," Environmental & Socio-economic Studies, Sciendo, vol. 10(2), pages 49-61, June.
    4. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
    5. Whitney K. Newey & Sami Stouli, 2020. "Heterogeneous Coefficients, Control Variables, and Identification of Multiple Treatment Effects," Papers 2009.02314, arXiv.org, revised Nov 2021.
    6. Stijn Vansteelandt & Oliver Dukes, 2022. "Assumption‐lean inference for generalised linear model parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 657-685, July.
    7. Alejandro Sanchez-Becerra, 2022. "The Network Propensity Score: Spillovers, Homophily, and Selection into Treatment," Papers 2209.14391, arXiv.org.
    8. DiTraglia, Francis J. & García-Jimeno, Camilo & O’Keeffe-O’Donovan, Rossa & Sánchez-Becerra, Alejandro, 2023. "Identifying causal effects in experiments with spillovers and non-compliance," Journal of Econometrics, Elsevier, vol. 235(2), pages 1589-1624.
    9. Rainer Winkelmann, 2023. "Neglected heterogeneity, Simpson’s paradox, and the anatomy of least squares," ECON - Working Papers 426, Department of Economics - University of Zurich, revised Jul 2023.
    10. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.

  3. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.

    Cited by:

    1. Felipe Filgueiras, Elias Cavalcante-Filho, Rodrigo de Losso, José Roberto Savoia, 2019. "Law Change in a Regulated Sector Impacts Other Regulated Sectors: Evidence from Brazil," Working Papers, Department of Economics 2019_27, University of São Paulo (FEA-USP).
    2. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    3. Harsh Parikh & Carlos Varjao & Louise Xu & Eric Tchetgen Tchetgen, 2022. "Validating Causal Inference Methods," Papers 2202.04208, arXiv.org, revised Jul 2022.
    4. Bluszcz, Julia & Valente, Marica, 2020. "The Economic Costs of Hybrid Wars: The Case of Ukraine," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest Ar, pages 1-25.
    5. Benjamin Krebs & Simon Luechinger, 2020. "The effect of an electricity tax on aggregate electricity consumption: evidence from Basel," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
    6. 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.
    7. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    8. 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.
    9. Andre Gbato & Falapalaki Lemou & Jean-François Brun, 2021. "Effectiveness of SARA reform in sub-Saharan Africa [Efficacité de la réforme des SARA en Afrique subsaharienne]," Working Papers hal-03119001, HAL.
    10. Matthew Ridley & Camille Terrier, 2018. "Fiscal and education spillovers from charter school expansion," CEP Discussion Papers dp1577, Centre for Economic Performance, LSE.
    11. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.
    12. Klößner, Stefan & Pfeifer, Gregor, 2015. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113207, Verein für Socialpolitik / German Economic Association.
    13. Claudia Shi & Dhanya Sridhar & Vishal Misra & David M. Blei, 2021. "On the Assumptions of Synthetic Control Methods," Papers 2112.05671, arXiv.org, revised Dec 2021.
    14. Lea Bottmer & Guido Imbens & Jann Spiess & Merrill Warnick, 2021. "A Design-Based Perspective on Synthetic Control Methods," Papers 2101.09398, arXiv.org, revised Jul 2023.
    15. Rodrigo Aranda & Michael Darden & Donald Rose, 2021. "Measuring the impact of calorie labeling: The mechanisms behind changes in obesity," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2858-2878, November.
    16. Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers 2023-07, University of Connecticut, Department of Economics.
    17. Julia Bluszcz & Marica Valente, 2019. "The War in Europe: Economic Costs of the Ukrainian Conflict," Discussion Papers of DIW Berlin 1804, DIW Berlin, German Institute for Economic Research.
    18. Jianfei Cao & Connor Dowd, 2019. "Estimation and Inference for Synthetic Control Methods with Spillover Effects," Papers 1902.07343, arXiv.org, revised Nov 2019.
    19. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    20. Nadler, Carl & Allegretto, Sylvia & Godoey, Anna & Reich, Michael, 2019. "Are Local Minimum Wages Too High? Working Paper #102-19," Institute for Research on Labor and Employment, Working Paper Series qt7xt8716f, Institute of Industrial Relations, UC Berkeley.
    21. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Giovanni Peri & Derek Rury & Justin C. Wiltshire, 2020. "The Economic Impact of Migrants from Hurricane Maria," NBER Working Papers 27718, National Bureau of Economic Research, Inc.
    23. Ando Michihito & Furuichi Masato & Kaneko Yoshihiro, 2021. "Does universal long-term care insurance boost female labor force participation? Macro-level evidence," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-50, May.
    24. Aleksandar Keseljevic & Rok Spruk, 2022. "Estimating the Effects of Syrian Civil War," Papers 2209.03046, arXiv.org.
    25. Ikeme, Sionegael & Han, Doo Bong, 2021. "The Impacts of the EU Integration on Food Production in Baltic Countries," 2021 Annual Meeting, August 1-3, Austin, Texas 313989, Agricultural and Applied Economics Association.
    26. Chen, Qiang & Yan, Guanpeng, 2023. "A mixed placebo test for synthetic control method," Economics Letters, Elsevier, vol. 224(C).
    27. Justin Wiltshire, 2021. "allsynth: Synthetic control bias-corrections utilities for Stata," 2021 Stata Conference 15, Stata Users Group.
    28. Samuel Verevis & Murat Üngör, 2021. "What has New Zealand gained from The FTA with China?: Two counterfactual analyses†," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(1), pages 20-50, February.
    29. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "A $t$-test for synthetic controls," Papers 1812.10820, arXiv.org, revised Jan 2024.
    30. Wei Tian, 2023. "The Synthetic Control Method with Nonlinear Outcomes: Estimating the Impact of the 2019 Anti-Extradition Law Amendments Bill Protests on Hong Kong's Economy," Papers 2306.01967, arXiv.org.
    31. Harsh Parikh, 2022. "Are Synthetic Control Weights Balancing Score?," Papers 2211.01575, arXiv.org.

  4. Ferman, Bruno & Pinto, Cristine Campos de Xavier & Possebom, Vítor Augusto, 2016. "Cherry picking with synthetic controls," Textos para discussão 420, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. MAKIOKA Ryo & ZHANG Hongyong, 2023. "The Impact of Export Controls on International Trade: Evidence from the Japan–Korea trade dispute in the semiconductor industry," Discussion papers 23017, Research Institute of Economy, Trade and Industry (RIETI).
    2. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    3. Felipe Filgueiras, Elias Cavalcante-Filho, Rodrigo de Losso, José Roberto Savoia, 2019. "Law Change in a Regulated Sector Impacts Other Regulated Sectors: Evidence from Brazil," Working Papers, Department of Economics 2019_27, University of São Paulo (FEA-USP).
    4. Carl Bonander & Mats Ekman & Niklas Jakobsson, 2023. "When do default nudges work?," Oxford Open Economics, Oxford University Press, vol. 2, pages 391-425.
    5. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    6. Maximiliano Marzetti & Rok Spruk, 2023. "Long-Term Economic Effects of Populist Legal Reforms: Evidence from Argentina," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 60-95, March.
    7. Benjamin Krebs & Simon Luechinger, 2020. "The effect of an electricity tax on aggregate electricity consumption: evidence from Basel," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
    8. Keller, Michael, 2022. "Oil revenues vs domestic taxation: Deeper insights into the crowding-out effect," Resources Policy, Elsevier, vol. 76(C).
    9. Ferman, Bruno & Pinto, Cristine Campos de Xavier, 2016. "Revisiting the synthetic control estimator," Textos para discussão 421, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    10. Andrew I. Friedson & Drew McNichols & Joseph J. Sabia & Dhaval Dave, 2021. "Shelter‐In‐Place Orders And Public Health: Evidence From California During The Covid‐19 Pandemic," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(1), pages 258-283, January.
    11. Breinlich, Holger & Leromain, Elsa & Novy, Dennis & Sampson, Thomas, 2020. "Voting with their money: Brexit and outward investment by UK firms," European Economic Review, Elsevier, vol. 124(C).
    12. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
    13. Linan Peng & Justin T. Callais, 2023. "The authoritarian trade‐off: A synthetic control analysis of development and social coercion in the Xinjiang Uyghur Autonomous Region," Contemporary Economic Policy, Western Economic Association International, vol. 41(2), pages 370-387, April.
    14. Maria Angélica Bautista & Felipe González & Luis R. Martínez & Pablo Muñoz & Mounu Prem, 2020. "Chile's Missing Students: Dictatorship, Higher Education and Social Mobility," HiCN Working Papers 329, Households in Conflict Network.
    15. Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
    16. Denti, Daria & Iammarino, Simona, 2022. "Coming Out of the Woods. Do local support services influence the propensity to report sexual violence?," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 334-352.
    17. Pier Basaglia & Sophie Behr & Moritz A. Drupp, 2023. "De-Fueling Externalities: How Tax Salience and Fuel Substitution Mediate Climate and Health Benefits," Discussion Papers of DIW Berlin 2041, DIW Berlin, German Institute for Economic Research.
    18. Abidemi Adisa & Michael Farmer & Jamie Bologna Pavlik, 2023. "The effect of the Mahathir regime on the Malaysian economy," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(1), pages 97-114, January.
    19. Acel Jardón & Onno Kuik & Richard S.J. Tol, 2020. "Causal Effects of PetroCaribe on Sustainable Development: A Synthetic Control Analysis," Manchester School, University of Manchester, vol. 88(1), pages 156-210, January.
    20. Martin Becker & Stefan Klößner & Gregor Pfeifer, 2018. "Cross-Validating Synthetic Controls," Economics Bulletin, AccessEcon, vol. 38(1), pages 603-609.
    21. Propheter, Geoffrey, 2020. "The effect of a new sports facility on property development: Evidence from building permits and a localized synthetic control," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 50(1), December.
    22. Bautista, María Angélica & González, Felipe & Martinez, Luis R. & Muñoz, Pablo & Prem, Mounu, 2020. "Dictatorship, Higher Education, and Social Mobility," SocArXiv 6st9r, Center for Open Science.
    23. Mohammad Reza Farzanegan & Sven Fischer, 2023. "The Impact of a Large-Scale Natural Disaster on Local Economic Activity: Evidence from the 2003 Bam Earthquake in Iran," CESifo Working Paper Series 10502, CESifo.
    24. Jiayi Bao, 2022. "Social safety nets and new venture performance: The role of employee access to paid family leave benefits," Strategic Management Journal, Wiley Blackwell, vol. 43(12), pages 2545-2576, December.
    25. Nathan, Max, 2019. "Does Light Touch Cluster Policy Work? Evaluating the Tech City Programme," IZA Discussion Papers 12631, Institute of Labor Economics (IZA).
    26. Dhaval Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Drew McNichols & Joseph J. Sabia, 2023. "Sudden lockdown repeals, social mobility, and COVID‐19: Evidence from a judicial natural experiment," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(2), pages 272-304, June.
    27. Muhammad Jehangir Amjad & Devavrat Shah & Dennis Shen, 2017. "Robust Synthetic Control," Papers 1711.06940, arXiv.org.
    28. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," Post-Print hal-03789141, HAL.
    29. Sian Mughan & Geoffrey Propheter, 2017. "Estimating the Manufacturing Employment Impact of Eliminating the Tangible Personal Property Tax: Evidence From Ohio," Economic Development Quarterly, , vol. 31(4), pages 299-311, November.
    30. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    31. Giraldo, Carlos & Giraldo, Iader & Gomez-Gonzalez, Jose E. & Uribe, Jorge M., 2023. "Banks' leverage in foreign exchange derivatives in times of crisis: A tale of two countries," Emerging Markets Review, Elsevier, vol. 55(C).
    32. Pier Basaglia & Sophie M. Behr & Moritz A. Drupp, 2023. "De-Fueling Externalities: Causal Effects of Fuel Taxation and Mediating Mechanisms for Reducing Climate and Pollution Costs," CESifo Working Paper Series 10508, CESifo.
    33. Jason Poulos & Shuxi Zeng, 2017. "RNN-based counterfactual prediction, with an application to homestead policy and public schooling," Papers 1712.03553, arXiv.org, revised May 2021.
    34. 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.
    35. Anson T. Y. Ho & Kim Huynh & David T. Jacho-Chávez & Geneviève Vallée, 2023. "We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress," Staff Working Papers 23-15, Bank of Canada.
    36. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    37. Panizza, Ugo & Caselli, Francesca & Faralli, Matilde & Manasse, Paolo, 2021. "On the Benefits of Repaying," CEPR Discussion Papers 16539, C.E.P.R. Discussion Papers.
    38. Bonander, Carl & Ekman, Mats & Jakobsson, Niklas, 2022. "Vaccination nudges: A study of pre-booked COVID-19 vaccinations in Sweden," Social Science & Medicine, Elsevier, vol. 309(C).
    39. Ruiz, Miguel Haro & Schult, Christoph & Wunder, Christoph, 2024. "The effects of the Iberian exception mechanism on wholesale electricity prices and consumer inflation: A synthetic-controls approach," IWH Discussion Papers 5/2024, Halle Institute for Economic Research (IWH).
    40. Klößner, Stefan & Pfeifer, Gregor, 2015. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113207, Verein für Socialpolitik / German Economic Association.
    41. Abman, Ryan & Longbrake, Gabrial, 2023. "Resource development and governance declines: The case of the Chad–Cameroon petroleum pipeline," Energy Economics, Elsevier, vol. 117(C).
    42. Ayala, Luis & Martín-Román, Javier & Navarro, Carolina, 2023. "Unemployment shocks and material deprivation in the European Union: A synthetic control approach," Economic Systems, Elsevier, vol. 47(1).
    43. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    44. Bruno Ferman & Cristine Pinto, 2021. "Synthetic controls with imperfect pretreatment fit," Quantitative Economics, Econometric Society, vol. 12(4), pages 1197-1221, November.
    45. Gempesaw, David & Henry, Joseph J. & Velthuis, Raisa, 2022. "Piecing together the extent of retail fractional trading," Global Finance Journal, Elsevier, vol. 54(C).
    46. 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.
    47. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2021. "Decoupling synthetic control methods to ensure stability, accuracy and meaningfulness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(4), pages 549-584, December.
    48. Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers 2023-07, University of Connecticut, Department of Economics.
    49. Victor Hugo de Oliveira & Ines Lee & Climent Quintana‐Domeque, 2022. "The effect of increasing Women's autonomy on primary and repeated caesarean sections in Brazil," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1800-1804, August.
    50. Dogu Tan Araci & Murat Demirci & Murat Guray Kirdar, 2021. "Development Level of Hosting Areas and the Impact of Refugees on Natives’ Labor Market Outcomes," Koç University-TUSIAD Economic Research Forum Working Papers 2102, Koc University-TUSIAD Economic Research Forum.
    51. Kleis, Mischa & Moessinger, Marc-Daniel, 2016. "The long-run effect of fiscal consolidation on economic growth: Evidence from quantitative case studies," ZEW Discussion Papers 16-047, ZEW - Leibniz Centre for European Economic Research, revised 2016.
    52. Alice Lépissier & Matto Mildenberger, 2021. "Unilateral climate policies can substantially reduce national carbon pollution," Climatic Change, Springer, vol. 166(3), pages 1-21, June.
    53. Jeffrey Clemens & Michael R. Strain, 2020. "Public Policy and Participation in Political Interest Groups: An Analysis of Minimum Wages, Labor Unions, and Effective Advocacy," NBER Working Papers 27902, National Bureau of Economic Research, Inc.
    54. Thomas Barnebeck Andersen, 2023. "The Cost of a Currency Peg during the Great Recession," Open Economies Review, Springer, vol. 34(2), pages 255-279, April.
    55. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    56. Jiménez Durán, Rafael & Muller, Karsten & Schwarz, Carlo, 2024. "The Effect of Content Moderation on Online and Offline Hate: Evidence from Germany’s NetzDG," CAGE Online Working Paper Series 701, Competitive Advantage in the Global Economy (CAGE).
    57. Ryan Abman & Hisham Foad, 2022. "Border Walls and Crime: Evidence From the Secure Fence Act," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(2), pages 167-197, April.
    58. Grier, Kevin & Mahmood, Towhid & Powell, Benjamin, 2023. "Anti-sweatshop activism and the safety-employment tradeoff: Evidence from Bangladesh's Rana Plaza disaster," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 174-190.
    59. Hobbs, Duncan & Strain, Michael R., 2024. "Do Reemployment Bonuses Increase Employment? Evidence from the Idaho Return to Work Bonus Program," IZA Discussion Papers 16924, Institute of Labor Economics (IZA).
    60. Clemens, Jeffrey & Strain, Michael R., 2023. "Why Do Labor Unions Advocate for Minimum Wage Increases?," IZA Discussion Papers 16059, Institute of Labor Economics (IZA).
    61. Erick Lahura & Rosario Sabrera, 2023. "The effect of infrastructure investment on tourism demand: a synthetic control approach for the case of Kuelap, Peru," Empirical Economics, Springer, vol. 65(1), pages 443-478, July.
    62. Kuosmanen, Timo & Zhou, Xun & Eskelinen, Juha & Malo, Pekka, 2021. "Design Flaw of the Synthetic Control Method," MPRA Paper 106328, University Library of Munich, Germany.
    63. Costa, Francisco J M & Szerman, Dimitri & Assunção, Juliano, 2018. "Local Economic Impacts of Hydroelectric Power Plants: Evidence from Brazil," SocArXiv kzhs6, Center for Open Science.
    64. Ersoy, Fulya Y., 2020. "The effects of the great recession on college majors," Economics of Education Review, Elsevier, vol. 77(C).
    65. Debdeep Chattopadhyay, 2023. "Did the Massachusetts Health Reform Program increase self-employment?," Empirical Economics, Springer, vol. 65(3), pages 1309-1344, September.
    66. Mohammad Reza Farzanegan & Mohammad Ali Kadivar, 2021. "The Effect of Islamic Revolution and War on Income Inequality in Iran," CESifo Working Paper Series 9428, CESifo.
    67. Robbert Maseland & Rok Spruk, 2023. "The benefits of US statehood: an analysis of the growth effects of joining the USA," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 17(1), pages 49-89, January.
    68. Johnson, Josiah & Smith, Rhet A., 2023. "Main street business initiatives and crime in small towns," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 91-112.
    69. John Charles Bradbury, 2022. "Does hosting a professional sports team benefit the local community? Evidence from property assessments," Economics of Governance, Springer, vol. 23(3), pages 219-252, December.
    70. Brehm, Johannes & aus dem Moore, Nils & Gruhl, Henri, 2022. "Driving Innovation? – Carbon Tax Effects in the Swedish Transport Sector," VfS Annual Conference 2022 (Basel): Big Data in Economics 264085, Verein für Socialpolitik / German Economic Association.
    71. Hong Zhuang & Miao Grace Wang & Imre Ersoy & Mesut Eren, 2023. "Does joining the European monetary union improve labor productivity? A synthetic control approach," Journal of Productivity Analysis, Springer, vol. 59(3), pages 287-306, June.
    72. Aracı, Doğu Tan & Demirci, Murat & Kırdar, Murat Güray, 2022. "Development level of hosting areas and the impact of refugees on natives’ labor market outcomes in Turkey☆," European Economic Review, Elsevier, vol. 145(C).
    73. Roel Dom, 2017. "Semi-Autonomous Revenue Authorities in Sub-Saharan Africa: Silver Bullet or White Elephant," Discussion Papers 2017-01, University of Nottingham, CREDIT.
    74. Dhaval M. Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Drew McNichols & Joseph J. Sabia, 2020. "Are the Effects of Adoption and Termination of Shelter-in-Place Orders Symmetric? Evidence from a Natural Experiment," NBER Working Papers 27322, National Bureau of Economic Research, Inc.
    75. Dave, Dhaval M. & Friedson, Andrew I. & Matsuzawa, Kyutaro & McNichols, Drew & Sabia, Joseph J., 2020. "Did the Wisconsin Supreme Court Restart a COVID-19 Epidemic? Evidence from a Natural Experiment," IZA Discussion Papers 13314, Institute of Labor Economics (IZA).
    76. Bruno Ferman & Gaute Torsvik & Kjell Vaage, 2023. "Skipping the doctor: evidence from a case with extended self-certification of paid sick leave," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 935-971, April.
    77. Ando Michihito & Furuichi Masato & Kaneko Yoshihiro, 2021. "Does universal long-term care insurance boost female labor force participation? Macro-level evidence," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-50, May.
    78. Izabela Sobiech Pellegrini, 2022. "Untimely Reopening? Increase in the Number of New COVID‐19 Cases After Reopening in One Brazilian State," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 675-693, August.
    79. Kramer, Niklas & Lessmann, Christian, 2023. "The Effects of Carbon Trading: Evidence from California’s ETS," MPRA Paper 116796, University Library of Munich, Germany.
    80. Tomasz Serwach, 2022. "The European Union and within-country income inequalities. The case of the New Member States," Working Papers hal-03548416, HAL.
    81. Clark, Robert & Fabiilli, Christopher & Lasio, Laura, 2022. "Collusion in the US generic drug industry," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    82. Helena Glebocki Keefe & Ralf Hepp, 2024. "The effects of European fiscal discipline measures on current account balances," International Economics and Economic Policy, Springer, vol. 21(1), pages 251-283, February.
    83. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
    84. Peter Dreuw, 2023. "Structural time series models and synthetic controls—assessing the impact of the euro adoption," Empirical Economics, Springer, vol. 64(2), pages 681-725, February.
    85. Gabriel, Ricardo Duque & Pessoa, Ana Sofia, 2020. "Adopting the Euro: a synthetic control approach," MPRA Paper 99391, University Library of Munich, Germany.
    86. Kasper Vrolijk & Misato Sato, 2023. "Quasi-Experimental Evidence on Carbon Pricing," The World Bank Research Observer, World Bank, vol. 38(2), pages 213-248.
    87. Vrolijk, Kasper & Sato, Misato, 2023. "Quasi-experimental evidence on carbon pricing," LSE Research Online Documents on Economics 118404, London School of Economics and Political Science, LSE Library.
    88. Samuel Verevis & Murat Üngör, 2021. "What has New Zealand gained from The FTA with China?: Two counterfactual analyses†," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(1), pages 20-50, February.
    89. Trang My Tran, 2022. "International Environmental Agreement and Trade in Environmental Goods: The Case of Kyoto Protocol," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 341-379, October.
    90. Aurélia Lépine & Maria Restuccio & Eric Strobl, 2021. "Can we mitigate the effect of natural disasters on child health? Evidence from the Indian Ocean tsunami in Indonesia," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 432-452, February.
    91. John Charles Bradbury, 2022. "The impact of sports stadiums on localized commercial activity: Evidence from a Business Improvement District," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 194-217, January.
    92. Kaelo Mpho Ntwaepelo, 2023. "Bank Stability versus Financial Development: A Generous Deposit Insurer's Dilemma," Economics Discussion Papers em-dp2023-09, Department of Economics, University of Reading.

  5. Flavia Lúcia Chein Feres & Cristine Campos De Xavier Pinto, 2016. "Credit Constraint And Human Capital Investment: An Empirical Analysis Using Brazilian Household Budget Survey," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 207, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Cited by:

    1. Ma, Wanglin & Qiu, Huanguang & Fan, Yubing & Zhou, Xiaoshi, 2020. "The joint effects of ICT adoption and access to credit on household income in China," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304431, Agricultural and Applied Economics Association.
    2. Wanglin Ma & Huanguang Qiu & Dil Bahadur Rahut, 2023. "Rural development in the digital age: Does information and communication technology adoption contribute to credit access and income growth in rural China?," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1421-1444, August.
    3. Wei, Huaying & Guo, Rui & Sun, Honghao & Wang, Nan, 2021. "Household leverage and education expenditure: the role of household investment," Finance Research Letters, Elsevier, vol. 38(C).

  6. Ferman, Bruno & Pinto, Cristine, 2016. "Revisiting the Synthetic Control Estimator," MPRA Paper 73982, University Library of Munich, Germany.

    Cited by:

    1. Felipe Filgueiras, Elias Cavalcante-Filho, Rodrigo de Losso, José Roberto Savoia, 2019. "Law Change in a Regulated Sector Impacts Other Regulated Sectors: Evidence from Brazil," Working Papers, Department of Economics 2019_27, University of São Paulo (FEA-USP).
    2. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    3. Brett Parker, 2021. "Death Penalty Statutes and Murder Rates: Evidence From Synthetic Controls," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 18(3), pages 488-533, September.
    4. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    5. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    6. Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
    7. Denti, Daria & Iammarino, Simona, 2022. "Coming Out of the Woods. Do local support services influence the propensity to report sexual violence?," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 334-352.
    8. Andre Gbato & Falapalaki Lemou & Jean-François Brun, 2021. "Effectiveness of SARA reform in sub-Saharan Africa [Efficacité de la réforme des SARA en Afrique subsaharienne]," Working Papers hal-03119001, HAL.
    9. Muhammad Jehangir Amjad & Devavrat Shah & Dennis Shen, 2017. "Robust Synthetic Control," Papers 1711.06940, arXiv.org.
    10. Povilas Lastauskas & Julius Stakėnas, 2022. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 217-241, Emerald Group Publishing Limited.
    11. Santamaria, J., 2022. "‘When a Stranger Shall Sojourn with Thee': The Impact of the Venezuelan Exodus on Colombian Labor Markets," Documentos de trabajo - Alianza EFI 20046, Alianza EFI.
    12. Jason Poulos & Shuxi Zeng, 2017. "RNN-based counterfactual prediction, with an application to homestead policy and public schooling," Papers 1712.03553, arXiv.org, revised May 2021.
    13. Lucke, Bernd & Rehfeldt, Erik, 2022. "How does expropriation affect FDI? A synthetic control analysis of oil and gas sector nationalizations in South America," MPRA Paper 115374, University Library of Munich, Germany.
    14. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    15. Abby E. Alpert & William N. Evans & Ethan M.J. Lieber & David Powell, 2019. "Origins of the Opioid Crisis and Its Enduring Impacts," NBER Working Papers 26500, National Bureau of Economic Research, Inc.
    16. Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers 2023-07, University of Connecticut, Department of Economics.
    17. Ruoyao Shi & Jinyong Hahn, 2016. "Synthetic Control and Inference," Working Papers 201802, University of California at Riverside, Department of Economics, revised Nov 2017.
    18. Jianfei Cao & Connor Dowd, 2019. "Estimation and Inference for Synthetic Control Methods with Spillover Effects," Papers 1902.07343, arXiv.org, revised Nov 2019.
    19. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    20. Giambattista Salinari & Federico Benassi & Gianni Carboni, 2023. "The Effect of the Great Recession on Italian Life Expectancy," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(1), pages 1-15, February.
    21. Castillo, Emilio, 2021. "The impacts of profit-based royalties on early-stage mineral exploration," Resources Policy, Elsevier, vol. 73(C).
    22. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    23. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    24. Christoph F. Kurz & Martin Rehm & Rolf Holle & Christina Teuner & Michael Laxy & Larissa Schwarzkopf, 2019. "The effect of bariatric surgery on health care costs: A synthetic control approach using Bayesian structural time series," Health Economics, John Wiley & Sons, Ltd., vol. 28(11), pages 1293-1307, November.
    25. Lucke, Bernd, 2022. "Growth Effects of European Monetary Union: A Synthetic Control Approach," MPRA Paper 115373, University Library of Munich, Germany.
    26. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
    27. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    28. Damien Bricard & Zeynep Or & Anne Penneau, 2018. "Méthodologie de l’évaluation d’impact de l’expérimentation Parcours santé des aînés (Paerpa)," Working Papers DT74, IRDES institut for research and information in health economics, revised Jun 2018.
    29. Harsh Parikh, 2022. "Are Synthetic Control Weights Balancing Score?," Papers 2211.01575, arXiv.org.
    30. Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.

  7. Ferman, Bruno & Pinto, Cristine, 2015. "Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity," MPRA Paper 67665, University Library of Munich, Germany.

    Cited by:

    1. James G. MacKinnon & Matthew D. Webb, 2019. "Randomization Inference For Difference-in-differences With Few Treated Clusters," Working Paper 1355, Economics Department, Queen's University.
    2. Cragun, Randy, 2019. "Effects of lower ages of majority on oral contraceptive use: Evidence on the validity of The Power of the Pill," MPRA Paper 100871, University Library of Munich, Germany, revised 03 Jun 2020.
    3. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
    5. Bossavie, Laurent & Cho, Yoonyoung & Heath, Rachel, 2023. "The effects of international scrutiny on manufacturing workers: Evidence from the Rana Plaza collapse in Bangladesh," Journal of Development Economics, Elsevier, vol. 163(C).
    6. Michelle Marcus & Pedro H. C. Sant’Anna, 2021. "The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(2), pages 235-275.
    7. Luis Alvarez & Bruno Ferman, 2020. "Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation," Papers 2006.16997, arXiv.org, revised Apr 2023.
    8. 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.
    9. Sarah Papich, 2024. "Do Democracy Vouchers help democracy?," Contemporary Economic Policy, Western Economic Association International, vol. 42(1), pages 4-24, January.
    10. Lindo, Jason M. & Pineda-Torres, Mayra, 2021. "New Evidence on the Effects of Mandatory Waiting Periods for Abortion," Journal of Health Economics, Elsevier, vol. 80(C).
    11. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    12. Prem, M & González, F, 2021. "Police Repression And Protest Behavior: Evidence From Student Protests In Chile," Documentos de Trabajo 18672, Universidad del Rosario.
    13. Melo, Carolina & Moita, Rodrigo & Sunao, Stefanie, 2021. "Passing through the supply chain: Implications for market power," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    14. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
    15. Eleanor Golightly & Pamela Meyerhofer, 2022. "Does Paid Family Leave Cause Mothers to Have More Children? Evidence from California," Journal of Labor Research, Springer, vol. 43(2), pages 203-238, June.
    16. Bobonis, Gustavo J. & Stabile, Mark & Tovar, Leonardo, 2020. "Military training exercises, pollution, and their consequences for health," Journal of Health Economics, Elsevier, vol. 73(C).
    17. Farin, Sherajum Monira & Hoehn-Velasco, Lauren & Pesko, Michael, 2022. "The Impact of Legal Abortion on Maternal Mortality," IZA Discussion Papers 15657, Institute of Labor Economics (IZA).
    18. Andreas Hagemann, 2020. "Inference with a single treated cluster," Papers 2010.04076, arXiv.org.
    19. Abouk, Rahi & Powell, David, 2021. "Can electronic prescribing mandates reduce opioid-related overdoses?," Economics & Human Biology, Elsevier, vol. 42(C).
    20. Nils Braakmann, 2022. "Does stop and search reduce crime? Evidence from street‐level data and a surge in operations following a high‐profile crime," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1370-1397, July.
    21. Bergstrom,Katy Ann & Dodds,William & Robles Rios,Juan Carlos, 2022. "Welfare Analysis of Changing Notches: Evidence from Bolsa Família," Policy Research Working Paper Series 10117, The World Bank.
    22. Hwanoong Lee & Changsu Ko & Wookun Kim, 2023. "Local Employment Multiplier: Evidence from Relocation of Public-Sector Entities in South Korea," CESifo Working Paper Series 10870, CESifo.
    23. Priscila Espinosa & Daniel Aparicio-Pérez & Emili Tortosa-Ausina, 2023. "On the Impact of Next Generation EU Funds: A Regional Synthetic Control Method Approach," Working Papers 2023/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    24. Bruno Ferman, 2019. "Assessing Inference Methods," Papers 1912.08772, arXiv.org, revised Oct 2022.
    25. Dwenger, Nadja & Bittschi, Benjamin & Rincke, Johannes, 2020. "Water the Flowers You Want to Grow? Evidence on Private Recognition and Donor Loyalty," CEPR Discussion Papers 14996, C.E.P.R. Discussion Papers.
    26. Adam Scavette, 2023. "The Impact of New Jersey's Urban Enterprise Zones on Local Employment: A Synthetic Control Approach," Economic Development Quarterly, , vol. 37(2), pages 127-142, May.
    27. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    28. 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.
    29. Prettyman, Alexa, 2024. "Underreporting child maltreatment during the pandemic: Evidence from Colorado," Children and Youth Services Review, Elsevier, vol. 156(C).
    30. Aparna Soni, 2022. "The impact of the repeal of the federal individual insurance mandate on uninsurance," International Journal of Health Economics and Management, Springer, vol. 22(4), pages 423-441, December.
    31. Rodrigo Aranda & Michael Darden & Donald Rose, 2021. "Measuring the impact of calorie labeling: The mechanisms behind changes in obesity," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2858-2878, November.
    32. Marco Francesconi & Jonathan James, 2022. "Alcohol Price Floors and Externalities: The Case of Fatal Road Crashes," CESifo Working Paper Series 9745, CESifo.
    33. Jonathan Roth & Pedro H. C. Sant'Anna & Alyssa Bilinski & John Poe, 2022. "What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature," Papers 2201.01194, arXiv.org, revised Jan 2023.
    34. Costa, Francisco J M & Szerman, Dimitri & Assunção, Juliano, 2024. "The Environmental Costs of Political Interference: Evidence from Power Plants in the Amazon," SocArXiv 6y7vk, Center for Open Science.
    35. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    36. Wang, Jialan & Burke, Kathleen, 2022. "The effects of disclosure and enforcement on payday lending in Texas," Journal of Financial Economics, Elsevier, vol. 145(2), pages 489-507.
    37. Giovanni Peri & Vasil Yasenov, 2019. "The Labor Market Effects of a Refugee Wave: Synthetic Control Method Meets the Mariel Boatlift," Journal of Human Resources, University of Wisconsin Press, vol. 54(2), pages 267-309.
    38. Erick Lahura & Rosario Sabrera, 2023. "The effect of infrastructure investment on tourism demand: a synthetic control approach for the case of Kuelap, Peru," Empirical Economics, Springer, vol. 65(1), pages 443-478, July.
    39. Costa, Francisco J M & Szerman, Dimitri & Assunção, Juliano, 2018. "Local Economic Impacts of Hydroelectric Power Plants: Evidence from Brazil," SocArXiv kzhs6, Center for Open Science.
    40. William D. Lastrapes & Ian Schmutte & Thor Watson, 2022. "Home equity lending, credit constraints and small business in the US," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 43-63, January.
    41. Bruno Ferman, 2019. "Inference in Difference-in-Differences: How Much Should We Trust in Independent Clusters?," Papers 1909.01782, arXiv.org, revised Sep 2022.
    42. Fry, Jane M., 2023. "Do increased speeding fines save lives?," Economics of Transportation, Elsevier, vol. 34(C).
    43. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
    44. Luo, Changyuan & Luo, Qin & Zeng, Shuai, 2022. "Bilateral tax agreement and FDI inflows: Evidence from Hong Kong investment in the Mainland China," China Economic Review, Elsevier, vol. 73(C).
    45. Luis Alvarez & Bruno Ferman, 2023. "Extensions for Inference in Difference-in-Differences with Few Treated Clusters," Papers 2302.03131, arXiv.org.
    46. Shooshan Danagoulian & Derek Jenkins, 2021. "Rolling back the gains: Maternal stress undermines pregnancy health after Flint's water switch," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 564-584, March.
    47. Baron, E. Jason & Goldstein, Ezra G. & Wallace, Cullen T., 2020. "Suffering in silence: How COVID-19 school closures inhibit the reporting of child maltreatment," Journal of Public Economics, Elsevier, vol. 190(C).
    48. Bruno Ferman & Gaute Torsvik & Kjell Vaage, 2023. "Skipping the doctor: evidence from a case with extended self-certification of paid sick leave," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 935-971, April.
    49. Michael Lipsitz & Evan Starr, 2022. "Low-Wage Workers and the Enforceability of Noncompete Agreements," Management Science, INFORMS, vol. 68(1), pages 143-170, January.
    50. Feng Chen, 2023. "Does paid family leave save infant lives? Evidence from California's paid family leave program," Contemporary Economic Policy, Western Economic Association International, vol. 41(2), pages 319-337, April.
    51. Olden, Andreas & Møen, Jarle, 2020. "The Triple Difference Estimator," Discussion Papers 2020/1, Norwegian School of Economics, Department of Business and Management Science.
    52. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
    53. Alexander James & Nathaly Rivera & Brock Smith, 2022. "Cash Transfers and Voter Turnout," Working Papers 2022-01, University of Alaska Anchorage, Department of Economics.
    54. E. Jason Baron & Ezra G. Goldstein & Joseph Ryan, 2023. "The Push for Racial Equity in Child Welfare: Can Blind Removals Reduce Disproportionality?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(2), pages 456-487, March.
    55. Kenchington, David G. & Shohfi, Thomas D. & Smith, Jared D. & White, Roger M., 2022. "Do sin tax hikes spur cheating in interpersonal exchange?," Accounting, Organizations and Society, Elsevier, vol. 96(C).
    56. Marina Dias & Demian Pouzo, 2021. "Inference for multi-valued heterogeneous treatment effects when the number of treated units is small," Papers 2105.10965, arXiv.org.
    57. Matthew Freedman & Yoonjung Kim, 2022. "Quasi‐Experimental Evidence on the Effects of Expanding Cash Welfare," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(3), pages 859-890, June.
    58. Han, Luyi & Winters, John V., 2020. "Industry Fluctuations and College Major Choices: Evidence from an Energy Boom and Bust," Economics of Education Review, Elsevier, vol. 77(C).
    59. Beshir, H.A.; & Fichera, E.;, 2022. "“And Breathe Normally†: The Low Emission Zone impacts on health and well-being in England," Health, Econometrics and Data Group (HEDG) Working Papers 22/09, HEDG, c/o Department of Economics, University of York.
    60. Stearns, Jenna & White, Corey, 2018. "Can paid sick leave mandates reduce leave-taking?," Labour Economics, Elsevier, vol. 51(C), pages 227-246.

  8. Mattos, Enlinson & Pinto, Cristine Campos de Xavier & Teixeira, Lucas, 2015. "Sanitation and health: empirical evidence for Brazilian municipalities," Textos para discussão 392, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Castro, Marcelo Araújo & Mattos, Enlinson & Patriota, Fernanda, 2016. "Spatial spillovers and political coordination in public health provision," Textos para discussão 417, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  9. Rodrigues, Clarissa Guimarães & Rios-Neto, Eduardo Luiz Gonçalves & Pinto, Cristine Campos de Xavier, 2012. "Changes in test scores distribution for students of the fourth grade in Brazil: a relative distribution analysis for the years 1997 to 2005," Textos para discussão 282, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Tommaso Agasisti & Sergio Longobardi & Vincenzo Prete & Felice Russo, 2018. "Multidimensional poverty measures for analysing educational poverty in European countries," Working papers 73, Società Italiana di Economia Pubblica.

  10. Rodrigues, Clarissa Guimarães & Pinto, Cristine Campos de Xavier & Santos, Daniel D., 2012. "The impact of daycare attendance on math test scores for a cohort of 4th graders in Brazil," Textos para discussão 290, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Özler, Berk & Fernald, Lia C.H. & Kariger, Patricia & McConnell, Christin & Neuman, Michelle & Fraga, Eduardo, 2018. "Combining pre-school teacher training with parenting education: A cluster-randomized controlled trial," Journal of Development Economics, Elsevier, vol. 133(C), pages 448-467.
    2. Igor Vieira Procópio & Ricardo Freguglia & Flávia Chei, 2014. "The Effect Of Preschool On Pro…Ciency Level: An Analysis From Longitudinal Data," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 231, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. Harold Alderman, 2011. "No Small Matter : The Impact of Poverty, Shocks, and Human Capital Investments in Early Childhood Development," World Bank Publications - Books, The World Bank Group, number 2266, December.

  11. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    2. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    4. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    5. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    6. Zichen Deng & Maarten Lindeboom, 2022. "Early‐life famine exposure, hunger recall, and later‐life health," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 771-787, June.
    7. Deng, Zichen & Lindeboom, Maarten, 2021. "Early-Life Famine Exposure, Hunger Recall and Later-Life Health," IZA Discussion Papers 14487, Institute of Labor Economics (IZA).
    8. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    9. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    10. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    11. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    12. Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
    13. Buchinsky, Moshe & Li, Fanghua & Liao, Zhipeng, 2022. "Estimation and inference of semiparametric models using data from several sources," Journal of Econometrics, Elsevier, vol. 226(1), pages 80-103.
    14. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
    15. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    16. Doerr, Annabelle & Strittmatter, Anthony, 2014. "Assignment Mechanisms, Selection Criteria, and the Effectiveness of Training Programs," Economics Working Paper Series 1421, University of St. Gallen, School of Economics and Political Science, revised May 2017.
    17. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    18. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers 61/13, Institute for Fiscal Studies.
    19. Yanqin Fan & Hyeonseok Park & Gaoqian Xu, 2023. "Quantifying Distributional Model Risk in Marginal Problems via Optimal Transport," Papers 2307.00779, arXiv.org.
    20. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
    21. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    22. Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2023.
    23. Susan Athey & Raj Chetty & Guido W. Imbens & Hyunseung Kang, 2019. "The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely," NBER Working Papers 26463, National Bureau of Economic Research, Inc.
    24. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    25. Karun Adusumilli & Taisuke Otsu & Chen Qiu, 2020. "Reweighted nonparametric likelihood inference for linear functionals," STICERD - Econometrics Paper Series 614, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    26. Adusumilli, Karun & Otsu, Taisuke & Qiu, Chen, 2023. "Reweighted nonparametric likelihood inference for linear functionals," LSE Research Online Documents on Economics 120198, London School of Economics and Political Science, LSE Library.
    27. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326, arXiv.org, revised Apr 2024.
    28. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    29. Karun Adusumilli & Taisuke Otsu, 2018. "Likelihood ratio inference for missing data models," STICERD - Econometrics Paper Series 599, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    30. Atsushi Inoue & Tong Li & Qi Xu, 2021. "Two Sample Unconditional Quantile Effect," Papers 2105.09445, arXiv.org.
    31. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.

  12. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2008. "Inverse Probability Tilting for Moment Condition Models with Missing Data," NBER Working Papers 13981, National Bureau of Economic Research, Inc.

    Cited by:

    1. Saraswata Chaudhuriy & David T. Frazierz & Eric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
    2. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    3. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    6. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
    7. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    8. Bryan S. Graham & Keisuke Hirano, 2011. "Robustness to Parametric Assumptions in Missing Data Models," American Economic Review, American Economic Association, vol. 101(3), pages 538-543, May.
    9. Sloczynski, Tymon & Wooldridge, Jeffrey M., 2014. "A General Double Robustness Result for Estimating Average Treatment Effects," IZA Discussion Papers 8084, Institute of Labor Economics (IZA).
    10. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    11. Zichen Deng & Maarten Lindeboom, 2022. "Early‐life famine exposure, hunger recall, and later‐life health," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 771-787, June.
    12. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference In Differences," NBER Working Papers 25532, National Bureau of Economic Research, Inc.
    13. Yuya Sasaki & Takuya Ura & Yichong Zhang, 2020. "Unconditional Quantile Regression with High Dimensional Data," Papers 2007.13659, arXiv.org, revised Feb 2022.
    14. Deng, Zichen & Lindeboom, Maarten, 2021. "Early-Life Famine Exposure, Hunger Recall and Later-Life Health," IZA Discussion Papers 14487, Institute of Labor Economics (IZA).
    15. Knaus, Michael C. & Lechner, Michael & Reimers, Anne K., 2018. "For Better or Worse? The Effects of Physical Education on Child Development," IZA Discussion Papers 11268, Institute of Labor Economics (IZA).
    16. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    17. Kosuke Imai & Marc Ratkovic, 2015. "Robust Estimation of Inverse Probability Weights for Marginal Structural Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1013-1023, September.
    18. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    19. Samia FERHAT, 2022. "The impact of university openings on labor market outcomes," THEMA Working Papers 2022-18, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    20. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    21. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    22. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.
    23. Denisova-Schmidt, Elena & Huber, Martin & Prytula, Yaroslav, 2015. "An experimental evaluation of an anti-corruption intervention among Ukrainian university students," FSES Working Papers 462, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    24. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2018. "A Unified Framework for Efficient Estimation of General Treatment Models," Papers 1808.04936, arXiv.org, revised Aug 2018.
    25. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    26. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    27. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    28. Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
    29. Rothe, Christoph & Firpo, Sergio, 2013. "Semiparametric Estimation and Inference Using Doubly Robust Moment Conditions," IZA Discussion Papers 7564, Institute of Labor Economics (IZA).
    30. Denis Heng Yan Leung & Ken Yamada & Biao Zhang, 2015. "Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 155-179, March.
    31. Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
    32. Bazzi, Samuel & Sumarto, Sudarno & Suryahadi, Asep, 2013. "It's All in the Timing:Household Expenditure and Labor Supply Responses to Unconditional Cash Transfers," MPRA Paper 57892, University Library of Munich, Germany, revised 31 Nov 2013.
    33. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
    34. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    35. Jordà, Òscar & Taylor, Alan M., 2014. "The time for austerity: Estimating the average treatment effect of fiscal policy," SAFE Working Paper Series 79, Leibniz Institute for Financial Research SAFE.
    36. Arun Advani & Tymon Sloczynski, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP64/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers 61/13, Institute for Fiscal Studies.
    38. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
    39. Marianne Bl'ehaut & Xavier D'Haultfoeuille & J'er'emy L'Hour & Alexandre B. Tsybakov, 2020. "An alternative to synthetic control for models with many covariates under sparsity," Papers 2005.12225, arXiv.org, revised Jun 2021.
    40. Yukitoshi Matsushita & Taisuke Otsu & Keisuke Takahata, 2022. "Estimating density ratio of marginals to joint: Applications to causal inference," STICERD - Econometrics Paper Series 619, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    41. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
    42. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, Institute of Labor Economics (IZA).
    43. Sean Yiu & Li Su, 2018. "Covariate association eliminating weights: a unified weighting framework for causal effect estimation," Biometrika, Biometrika Trust, vol. 105(3), pages 709-722.
    44. Yang Ning & Sida Peng & Jing Tao, 2020. "Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data," Papers 2009.03151, arXiv.org.
    45. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    46. Christopher R. Bollinger & Barry T. Hirsch, 2013. "Is Earnings Nonresponse Ignorable?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 407-416, May.
    47. Filomena, Mattia & Picchio, Matteo, 2023. "You'll Never Walk Alone: Unemployment, Social Networks and Leisure Activities," IZA Discussion Papers 16579, Institute of Labor Economics (IZA).
    48. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    49. Pierre Chausse & George Luta, 2017. "Casual Inference using Generalized Empirical Likelihood Methods," Working Papers 1707, University of Waterloo, Department of Economics, revised Dec 2017.
    50. Michael L. Anderson, 2017. "The Benefits of College Athletic Success: An Application of the Propensity Score Design," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 119-134, March.
    51. Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
    52. Carlos A. Flores & Oscar A. Mitnik, 2011. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," Working Papers 2011-10, University of Miami, Department of Economics.
    53. Sean Yiu & Li Su, 2022. "Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models," Biometrics, The International Biometric Society, vol. 78(1), pages 115-127, March.
    54. Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
    55. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    56. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    57. Firpo, Sergio Pinheiro & Pinto, Rafael de Carvalho Cayres, 2012. "Combining Strategies for the Estimation of Treatment Effects," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(1), March.
    58. Karun Adusumilli & Taisuke Otsu & Chen Qiu, 2020. "Reweighted nonparametric likelihood inference for linear functionals," STICERD - Econometrics Paper Series 614, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    59. Adusumilli, Karun & Otsu, Taisuke & Qiu, Chen, 2023. "Reweighted nonparametric likelihood inference for linear functionals," LSE Research Online Documents on Economics 120198, London School of Economics and Political Science, LSE Library.
    60. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326, arXiv.org, revised Apr 2024.
    61. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    62. Karun Adusumilli & Taisuke Otsu, 2018. "Likelihood ratio inference for missing data models," STICERD - Econometrics Paper Series 599, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    63. Victor Chernozhukov & Vira Semenova, 2018. "Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions," CeMMAP working papers CWP40/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    64. Hristache, Marian & Patilea, Valentin, 2021. "Equivalent models for observables under the assumption of missing at random," Econometrics and Statistics, Elsevier, vol. 20(C), pages 153-165.
    65. Kostas Bimpikis & Wedad J. Elmaghraby & Ken Moon & Wenchang Zhang, 2020. "Managing Market Thickness in Online Business-to-Business Markets," Management Science, INFORMS, vol. 66(12), pages 5783-5822, December.
    66. Hao Cheng & Ying Wei, 2018. "A fast imputation algorithm in quantile regression," Computational Statistics, Springer, vol. 33(4), pages 1589-1603, December.
    67. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    68. Bazzi, Samuel & Sumarto, Sudarno & Suryahadi, Asep, 2015. "It's all in the timing: Cash transfers and consumption smoothing in a developing country," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 267-288.
    69. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva, 2016. "Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 61-83.
    70. Kwun Chuen Gary Chan & Sheung Chi Phillip Yam & Zheng Zhang, 2016. "Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 673-700, June.
    71. Chaudhuri, Saraswata & Frazier, David T. & Renault, Eric, 2018. "Indirect Inference with endogenously missing exogenous variables," Journal of Econometrics, Elsevier, vol. 205(1), pages 55-75.
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    73. 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.
    74. Phillip Heiler, 2020. "Efficient Covariate Balancing for the Local Average Treatment Effect," Papers 2007.04346, arXiv.org.
    75. Samuel Bazzi & Sudarno Sumarto & Asep Suryahadi, "undated". "It’s All in the Timing: Household Expenditure and Labor Supply Responses to Unconditional Cash Transfers," Working Papers 280, Publications Department.
    76. Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.

Articles

  1. Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022. "Semiparametrically efficient estimation of the average linear regression function," Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
    See citations under working paper version above.
  2. Bruno Ferman & Cristine Pinto, 2021. "Synthetic controls with imperfect pretreatment fit," Quantitative Economics, Econometric Society, vol. 12(4), pages 1197-1221, November.
    See citations under working paper version above.
  3. Mattos, Enlinson & Pinto, Cristine & Teixeira, Lucas Iten & Meloni, Luis, 2020. "Sanitation and Health: Empirical evidence for Brazilian Municipalities," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2), March.
    See citations under working paper version above.
  4. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    See citations under working paper version above.
  5. Bruno Ferman & Cristine Pinto, 2019. "Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 452-467, July.
    See citations under working paper version above.
  6. Flávia Chein & Cristine Pinto, 2018. "Credit constraint and human capital investment: an empirical analysis using Brazilian household budget survey," Applied Economics, Taylor & Francis Journals, vol. 50(21), pages 2369-2385, May.
    See citations under working paper version above.
  7. Sergio Firpo & Cristine Pinto, 2016. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 457-486, April.

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    1. Toru Kitagawa & Aleksey Tetenov, 2018. "Equality-minded treatment choice," CeMMAP working papers CWP71/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. HILDEBRAND Vincent & PI ALPERIN Maria Noel & VAN KERM Philippe, 2012. "Measuring and accounting for the deprivation gap of Portuguese immigrants in Luxembourg," LISER Working Paper Series 2012-33, Luxembourg Institute of Socio-Economic Research (LISER).
    3. Fernando Rios-Avila, 2019. "Recentered Influence Functions in Stata: Methods for Analyzing the Determinants of Poverty and Inequality," Economics Working Paper Archive wp_927, Levy Economics Institute.
    4. Christian Ahlin & Hyeok Jeong, 2021. "A conditional Gini: measure, estimation, and application," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(2), pages 363-384, June.
    5. Juan Cruz Varvello & Jorge Camusso & Ana Inés Navarro, 2022. "Teletrabajo y distribución de ingresos laborales en Argentina," Asociación Argentina de Economía Política: Working Papers 4605, Asociación Argentina de Economía Política.
    6. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    7. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
    8. Cécile Couharde & Rémi Generoso, 2024. "Assessing the Impact of National Air Quality Standards on Agricultural Land Values: Insights from Corn and Soybean Regions," EconomiX Working Papers 2024-9, University of Paris Nanterre, EconomiX.
    9. Ferreira,Francisco H. G. & Firpo,Sergio & Galvao,Antonio F., 2017. "Estimation and inference for actual and counterfactual growth incidence curves," Policy Research Working Paper Series 7933, The World Bank.
    10. Ying-Ying Lee, 2015. "Efficient propensity score regression estimators of multi-valued treatment effects for the treated," Economics Series Working Papers 738, University of Oxford, Department of Economics.
    11. García, A., 2016. "Oaxaca-Blinder Type Counterfactual Decomposition Methods for Duration Outcomes," Documentos de Trabajo 14186, Universidad del Rosario.
    12. Cañón Salazar Carlos Iván, 2016. "Distributional Policy Effects with Many Treatment Outcomes," Working Papers 2016-01, Banco de México.
    13. Maier, Michael, 2011. "Tests for distributional treatment effects under unconfoundedness," Economics Letters, Elsevier, vol. 110(1), pages 49-51, January.
    14. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    15. Rumeng Cui & Zhong Ma & Longfeng Wang, 2022. "Allocation of Decision Rights and CSR Disclosure: Evidence from Listed Business Groups in China," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    16. Kim, Ju Hyun & Park, Byoung G., 2018. "Weak convergence of local quantile treatment effect processes," Economics Letters, Elsevier, vol. 162(C), pages 49-52.
    17. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    18. Donald, Stephen G. & Hsu, Yu-Chin, 2014. "Estimation and inference for distribution functions and quantile functions in treatment effect models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 383-397.
    19. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    20. Varvello Juan Cruz & Camusso Jorge & Navarro Ana Inés, 2023. "Does Teleworking Affect The Labor Income Distribution? Empirical Evidence From South American Countries," Asociación Argentina de Economía Política: Working Papers 4698, Asociación Argentina de Economía Política.
    21. Ghosh, Pallab Kumar, 2014. "The contribution of human capital variables to changes in the wage distribution function," Labour Economics, Elsevier, vol. 28(C), pages 58-69.
    22. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    23. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    24. Tuomas Kosonen & Tuomas Matikka, 2023. "Discrete Labor Supply: Quasi-Experimental Evidence and Implications," Working Papers 9, Finnish Centre of Excellence in Tax Systems Research.
    25. Susan Harkness, 2022. "Single Mothers’ Income in Twelve Rich Nations: Differences in Disadvantage across the Distribution," LIS Working papers 835, LIS Cross-National Data Center in Luxembourg.
    26. Garcia-Medina Cecilia, 2016. "You, Me and the Mean: a Semiparametric Approach to the Redistributive Effects of Transfer Programs," Working Papers 2016-16, Banco de México.
    27. Abagna, Matthew Amalitinga & Hornok, Cecília & Mulyukova, Alina, 2024. "Place-based policies and household wealth in Africa," Kiel Working Papers 2263, Kiel Institute for the World Economy (IfW Kiel).
    28. Mariko Hatase & Mototsugu Shintani & Tomoyoshi Yabu, 2013. "Great earthquakes, exchange rate volatility and government interventions," Vanderbilt University Department of Economics Working Papers 13-00007, Vanderbilt University Department of Economics.
    29. Hope Bodenschatz & Gerald Eric Daniels Jr. & Jeffrey P. Thompson, 2023. "Decomposing Lifetime-Earnings Differences between White, Black, and Hispanic Families," Working Papers 23-14, Federal Reserve Bank of Boston.
    30. Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.

  8. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2016. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 288-301, April.
    See citations under working paper version above.
  9. Sergio Firpo & Hugo Jales & Cristine Pinto, 2015. "Measuring peer effects in the Brazilian school system," Applied Economics, Taylor & Francis Journals, vol. 47(32), pages 3414-3438, July.

    Cited by:

    1. Gregorio Gimenez & Denisa Ciobanu & Beatriz Barrado, 2021. "A Proposal of Spatial Measurement of Peer Effect through Socioeconomic Indices and Unsatisfied Basic Needs," Economies, MDPI, vol. 9(2), pages 1-20, May.

  10. Rodrigues, Clarissa Guimarães & Rios-Neto, Eduardo Luiz Gonçalves & de Xavier Pinto, Cristine Campos, 2013. "Changes in test scores distribution for students of the fourth grade in Brazil: A relative distribution analysis for the years 1997–2005," Economics of Education Review, Elsevier, vol. 34(C), pages 227-242.
    See citations under working paper version above.
  11. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    See citations under working paper version above.

Books

  1. Anjali Kumar & Thorsten Beck & Cristine Campos & Soumya Chattopadhyay, 2005. "Assessing Financial Access in Brazil," World Bank Publications - Books, The World Bank Group, number 7452, December.

    Cited by:

    1. Jesús Antonio López Cabrera & Francisco Gabriel Villarreal & Diego Cardoso López, 2023. "Una propuesta de medición de la inclusión financiera en México," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(3), pages 1-41, Julio - S.
    2. Kung'U, Gabriel Kamau, 2011. "Factors influencing SMEs access to finance: A case study of Westland Division,Kenya," MPRA Paper 66633, University Library of Munich, Germany, revised 2014.
    3. Makler Harry & Ness Walter L. & Tschoegl Adrian E., 2013. "Inequalities in Firms’ Access to Credit in Latin America," Global Economy Journal, De Gruyter, vol. 13(3-4), pages 283-318, December.
    4. Cavalcanti, Marco A.F.H. & Vereda, Luciano & Doctors, Rebeca de B. & Lima, Felipe C. & Maynard, Lucas, 2018. "The macroeconomic effects of monetary policy shocks under fiscal rules constrained by public debt sustainability," Economic Modelling, Elsevier, vol. 71(C), pages 184-201.

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