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Cristine Campos de Xavier Pinto

Personal Details

First Name:Cristine
Middle Name:Campos de Xavier
Last Name:Pinto
Suffix:
RePEc Short-ID:ppi260
http://sites.google.com/site/cristinepinto/

Affiliation

Escola de Economia de São Paulo (EESP)
Fundação Getulio Vargas (FGV)

São Paulo, Brazil
http://economics-sp.fgv.br/

: 55 (011) 3799-3350
55 (011) 3799-3357
Rua Itapeva, 474, 13o andar, CEP 01332-000, São Paulo - SP
RePEc:edi:eegvfbr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
  2. Ferman, Bruno & Pinto, Cristine Campos de Xavier & Possebom, Vitor Augusto, 2016. "Cherry picking with synthetic controls," Textos para discussão 420, FGV/EESP - Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
  3. 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 Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  4. Ferman, Bruno & Pinto, Cristine, 2016. "Revisiting the Synthetic Control Estimator," MPRA Paper 73982, University Library of Munich, Germany.
  5. Antônio José Negreiros & Flávia Chein & Cristine Pinto, 2016. "Ensino Profissionalizante, Desempenho Escolar E Inserção Produtiva: Uma Análise Com Dados Do Enem," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42ndd Brazilian Economics Meeting] 205, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  6. Geraldo Andrade Da Silva Filho & Cristine Campos De Xavier Pinto & Marcel De Toledo Vieira, 2016. "Does Money Move Teachers?," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42ndd Brazilian Economics Meeting] 240, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  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.
  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, Getulio Vargas Foundation (Brazil).
  9. Rodrigues, Clarissa G. & Rios-Neto, Eduardo L. G. & 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, Getulio Vargas Foundation (Brazil).
  10. Rodrigues, Clarissa G. & 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, Getulio Vargas Foundation (Brazil).
  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.
  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.

Articles

  1. 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.
  2. 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.
  3. 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.
  4. Arthur de Rezende Pinto & Flávia Chein & Cristine Campos de Xavier Pinto, 2013. "Restrição de crédito e decisão de investimento: a experiência do setor informal no Brasil," Pesquisa e Planejamento Econômico - PPE, Instituto de Pesquisa Econômica Aplicada, vol. 43(1), pages 7-48, abr..
  5. 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.
  6. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 1053-1079.

Books

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

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 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," Review of Economic Studies, Oxford University Press, 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. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.

    Cited by:

    1. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2017. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Papers 1712.09089, arXiv.org, revised Jan 2018.

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

    Cited by:

    1. 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, Getulio Vargas Foundation (Brazil).
    2. Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
    3. Becker, Martin & Klößner, Stefan & Pfeifer, Gregor, 2017. "Cross-Validating Synthetic Controls," MPRA Paper 83679, University Library of Munich, Germany.
    4. Muhammad Jehangir Amjad & Devavrat Shah & Dennis Shen, 2017. "Robust Synthetic Control," Papers 1711.06940, arXiv.org.
    5. Roel Dom, 2017. "Semi-Autonomous Revenue Authorities in Sub-Saharan Africa: Silver Bullet or White Elephant," Discussion Papers 2017-01, University of Nottingham, CREDIT.
    6. 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.
    7. 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 - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

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

    Cited by:

    1. Ferman, Bruno & Pinto, Cristine & Possebom, Vitor, 2017. "Cherry Picking with Synthetic Controls," MPRA Paper 78213, University Library of Munich, Germany.
    2. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    3. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org.
    4. Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
    5. Muhammad Jehangir Amjad & Devavrat Shah & Dennis Shen, 2017. "Robust Synthetic Control," Papers 1711.06940, arXiv.org.
    6. 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.
    7. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.

  4. 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. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    2. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
    3. Carvalho, Carlos Viana de & Masini, Ricardo Pereira & Medeiros, Marcelo C., 2017. "Arco: an artificial counterfactual approach for high-dimensional panel time-series data," Textos para discussão 454, FGV/EESP - Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
    4. Peri, Giovanni & Yasenov, Vasil, 2017. "The Labor Market Effects of a Refugee Wave: Synthetic Control Method Meets the Mariel Boatlift," IZA Discussion Papers 10605, Institute for the Study of Labor (IZA).
    5. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.

  5. 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, Getulio Vargas Foundation (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, Getulio Vargas Foundation (Brazil).

  6. Rodrigues, Clarissa G. & 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, Getulio Vargas Foundation (Brazil).

    Cited by:

    1. 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 41th Brazilian Economics Meeting] 231, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
    2. Harold Alderman, 2011. "No Small Matter : The Impact of Poverty, Shocks, and Human Capital Investments in Early Childhood Development," World Bank Publications, The World Bank, number 2266.

  7. 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. 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.
    2. 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.
    3. 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.
    4. 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 Jun 2016.
    5. 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.
    6. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP61/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Susan Athey & Guido W. Imbens & Stefan Wager, 2016. "Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions," Papers 1604.07125, arXiv.org, revised Jan 2018.
    8. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    9. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    10. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," Papers 1702.01250, arXiv.org.

  8. 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 & Éric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
    2. 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.
    3. Òscar Jordà & Alan M. Taylor, 2013. "The Time for Austerity: Estimating the Average Treatment Effect of Fiscal Policy," NBER Working Papers 19414, National Bureau of Economic Research, Inc.
    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. 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.
    6. Sloczynski, Tymon & Wooldridge, Jeffrey M., 2014. "A General Double Robustness Result for Estimating Average Treatment Effects," IZA Discussion Papers 8084, Institute for the Study of Labor (IZA).
    7. Pierre Chausse & George Luta, 2017. "Casual Inference using Generalized Empirical Likelihood Methods," Working Papers 1707, University of Waterloo, Department of Economics, revised Dec 2017.
    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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Rothe, Christoph & Firpo, Sergio, 2013. "Semiparametric Estimation and Inference Using Doubly Robust Moment Conditions," IZA Discussion Papers 7564, Institute for the Study of Labor (IZA).
    16. 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.
    17. 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.
    18. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP61/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Kitagawa, Toru & Muris, Chris, 2016. "Model averaging in semiparametric estimation of treatment effects," Journal of Econometrics, Elsevier, vol. 193(1), pages 271-289.
    20. Susan Athey & Guido W. Imbens & Stefan Wager, 2016. "Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions," Papers 1604.07125, arXiv.org, revised Jan 2018.
    21. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
    22. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    23. 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.
    24. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva, 2016. "Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine," Educational Studies, Higher School of Economics, issue 1, pages 61-83.
    25. Bodory, Hugo & Huber, Martin & Camponovo, Lorenzo & Lechner, Michael, 2016. "The finite sample performance of inference methods for propensity score matching and weighting estimators," FSES Working Papers 466, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    26. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," Working Paper Series of the German Council for Social and Economic Data 165, German Council for Social and Economic Data (RatSWD).
    27. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    28. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," Papers 1702.01250, arXiv.org.
    29. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.

Articles

  1. 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.

    Cited by:

    1. 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.
    2. 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.
    3. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, Elsevier.
    4. 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.
    5. 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.
    6. García, A., 2016. "Oaxaca-Blinder Type Counterfactual Decomposition Methods for Duration Outcomes," DOCUMENTOS DE TRABAJO 014186, UNIVERSIDAD DEL ROSARIO.
    7. Cañón Salazar Carlos Iván, 2016. "Distributional Policy Effects with Many Treatment Outcomes," Working Papers 2016-01, Banco de México.
    8. Maier, Michael, 2011. "Tests for distributional treatment effects under unconfoundedness," Economics Letters, Elsevier, vol. 110(1), pages 49-51, January.
    9. 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.
    10. Toru Kitagawa & Aleksey Tetenov, 2017. "Equality-minded treatment choice," CeMMAP working papers CWP10/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. 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.

  2. 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.
  3. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," Review of Economic Studies, Oxford University Press, 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, The World Bank, number 7452.

    Cited by:

    1. 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.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 14 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (6) 2008-05-17 2011-04-16 2015-11-15 2016-06-18 2016-07-02 2017-04-23. Author is listed
  2. NEP-EDU: Education (1) 2012-09-30
  3. NEP-HEA: Health Economics (1) 2015-09-05
  4. NEP-LAB: Labour Economics (1) 2012-09-30
  5. NEP-ORE: Operations Research (1) 2015-11-15
  6. NEP-URE: Urban & Real Estate Economics (1) 2012-10-06

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