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Debopam Bhattacharya

Personal Details

First Name:Debopam
Middle Name:
Last Name:Bhattacharya
Suffix:
RePEc Short-ID:pbh33
[This author has chosen not to make the email address public]
http://www.economics.ox.ac.uk/members/debopam.bhattacharya/index.htm

Affiliation

Faculty of Economics
University of Cambridge

Cambridge, United Kingdom
http://www.econ.cam.ac.uk/

:

Austin Robinson Building, Sidgwick Avenue, Cambridge CB3 9DD
RePEc:edi:fecamuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," NBER Working Papers 18833, National Bureau of Economic Research, Inc.
  2. Debopam Bhattacharya, 2013. "Nonparametric Welfare Analysis for Discrete Choice," Economics Series Working Papers 669, University of Oxford, Department of Economics.
  3. Debopam Bhattacharya, 2012. "Evaluating Treatment Protocols using Data Combination," Economics Series Working Papers 609, University of Oxford, Department of Economics.
  4. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2012. "Are University Admissions Academically Fair?," Economics Series Working Papers 608, University of Oxford, Department of Economics.
  5. Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.
  6. Debopam Bhattacharya & Bhashkar Mazumder, 2007. "Nonparametric analysis of intergenerational income mobility with application to the United States," Working Paper Series WP-07-12, Federal Reserve Bank of Chicago.

Articles

  1. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2017. "Are University Admissions Academically Fair?," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 449-464, July.
  2. Debopam Bhattacharya, 2015. "Nonparametric Welfare Analysis for Discrete Choice," Econometrica, Econometric Society, vol. 83, pages 617-649, March.
  3. Garry F. Barrett & Stephen G. Donald & Debopam Bhattacharya, 2014. "Consistent Nonparametric Tests for Lorenz Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 1-13, January.
  4. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
  5. Bhattacharya, Debopam & Dupas, Pascaline, 2012. "Inferring welfare maximizing treatment assignment under budget constraints," Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
  6. Debopam Bhattacharya & Bhashkar Mazumder, 2011. "A nonparametric analysis of black–white differences in intergenerational income mobility in the United States," Quantitative Economics, Econometric Society, vol. 2(3), pages 335-379, November.
  7. Bhattacharya, Debopam, 2009. "Inferring Optimal Peer Assignment From Experimental Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 486-500.
  8. Bhattacharya, Debopam, 2008. "A Permutation-Based Estimator For Monotone Index Models," Econometric Theory, Cambridge University Press, vol. 24(03), pages 795-807, June.
  9. Bhattacharya, Debopam, 2008. "Inference in panel data models under attrition caused by unobservables," Journal of Econometrics, Elsevier, vol. 144(2), pages 430-446, June.
  10. Bhattacharya, Debopam, 2007. "Inference on inequality from household survey data," Journal of Econometrics, Elsevier, vol. 137(2), pages 674-707, April.
  11. Bhattacharya, Debopam, 2005. "Asymptotic inference from multi-stage samples," Journal of Econometrics, Elsevier, vol. 126(1), pages 145-171, May.
  12. Bhattacharya, Debopam, 2004. "Seemingly unrelated regressions with identical regressors: a note," Economics Letters, Elsevier, vol. 85(2), pages 247-255, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," NBER Working Papers 18833, National Bureau of Economic Research, Inc.

    Cited by:

    1. Rokhaya Dieye & Habiba Djebbari & Felipe Barrera-Osorio, 2014. "Accounting for Peer Effects in Treatment Response," Working Papers halshs-01025680, HAL.
    2. Debopam Bhattacharya, 2013. "Nonparametric Welfare Analysis for Discrete Choice," Economics Series Working Papers 669, University of Oxford, Department of Economics.
    3. Pascaline Dupas & Edward Miguel, 2016. "Impacts and Determinants of Health Levels in Low-Income Countries," NBER Working Papers 22235, National Bureau of Economic Research, Inc.

  2. Debopam Bhattacharya, 2013. "Nonparametric Welfare Analysis for Discrete Choice," Economics Series Working Papers 669, University of Oxford, Department of Economics.

    Cited by:

    1. Rachel Griffith & Lars Nesheim & Martin O'Connell, 2015. "Income effects and the welfare consequences of tax in differentiated product oligopoly," CeMMAP working papers CWP23/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Jerry Hausman & Whitney K. Newey, 2014. "Individual Heterogeneity and Average Welfare," CeMMAP working papers CWP42/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Su Thet Hninn & Keisuke Kawata & Shinji Kaneko & Yuichiro Yoshida, 2016. "A nonparametric welfare analysis on water quality improvement of the floating people on Inlay Lake via a randomized conjoint field experiment," IDEC DP2 Series 6-2, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
    4. 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.

  3. Debopam Bhattacharya, 2012. "Evaluating Treatment Protocols using Data Combination," Economics Series Working Papers 609, University of Oxford, Department of Economics.

    Cited by:

    1. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2014. "Are University Admissions Academically Fair?," CREATES Research Papers 2014-06, Department of Economics and Business Economics, Aarhus University.

  4. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2012. "Are University Admissions Academically Fair?," Economics Series Working Papers 608, University of Oxford, Department of Economics.

    Cited by:

    1. Debopam Bhattacharya, 2012. "Evaluating Treatment Protocols using Data Combination," Economics Series Working Papers 609, University of Oxford, Department of Economics.
    2. Sevilla, Almudena & Borra, Cristina, 2015. "Parental Time Investments in Children: The Role of Competition for University Places in the UK," IZA Discussion Papers 9168, Institute for the Study of Labor (IZA).

  5. Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ferracci, Marc & Jolivet, Grégory & van den Berg, Gerard J., 2010. "Treatment Evaluation in the Case of Interactions within Markets," IZA Discussion Papers 4700, Institute for the Study of Labor (IZA).
    2. Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute for the Study of Labor (IZA).
    3. Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP10/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Susan Athey & Stefan Wager, 2017. "Efficient Policy Learning," Papers 1702.02896, arXiv.org, revised Oct 2017.
    5. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2017. "Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 683-697, July.
    6. Debopam Bhattacharya, 2012. "Evaluating Treatment Protocols using Data Combination," Economics Series Working Papers 609, University of Oxford, Department of Economics.
    7. List, John A. & Rasul, Imran, 2011. "Field Experiments in Labor Economics," Handbook of Labor Economics, Elsevier.
    8. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," Economics Series Working Papers 646, University of Oxford, Department of Economics.
    9. Anders Bredahl Kock & Martin Thyrsgaard, 2017. "Optimal sequential treatment allocation," Papers 1705.09952, arXiv.org, revised Jan 2018.
    10. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2014. "Are University Admissions Academically Fair?," CREATES Research Papers 2014-06, Department of Economics and Business Economics, Aarhus University.
    11. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
    12. Jonas Hjort, 2013. "Ethnic Divisions and Production in Firms," CESifo Working Paper Series 4449, CESifo Group Munich.
    13. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927RR, Cowles Foundation for Research in Economics, Yale University, revised Apr 2015.
    14. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2014.
    15. Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages," Papers 1512.05635, arXiv.org, revised Nov 2017.
    16. Jonathan M.V. Davis & Sara B. Heller, 2017. "Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs," NBER Working Papers 23443, National Bureau of Economic Research, Inc.

  6. Debopam Bhattacharya & Bhashkar Mazumder, 2007. "Nonparametric analysis of intergenerational income mobility with application to the United States," Working Paper Series WP-07-12, Federal Reserve Bank of Chicago.

    Cited by:

    1. Black, Sandra E. & Devereux, Paul J., 2010. "Recent Developments in Intergenerational Mobility," IZA Discussion Papers 4866, Institute for the Study of Labor (IZA).
    2. Viktoria Hnatkovska & Amartya Lahiri & Sourabh B. Paul, 2013. "Breaking the Caste Barrier: Intergenerational Mobility in India," Journal of Human Resources, University of Wisconsin Press, vol. 48(2), pages 435-473.

Articles

  1. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2017. "Are University Admissions Academically Fair?," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 449-464, July.
    See citations under working paper version above.
  2. Debopam Bhattacharya, 2015. "Nonparametric Welfare Analysis for Discrete Choice," Econometrica, Econometric Society, vol. 83, pages 617-649, March.
    See citations under working paper version above.
  3. Garry F. Barrett & Stephen G. Donald & Debopam Bhattacharya, 2014. "Consistent Nonparametric Tests for Lorenz Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 1-13, January.

    Cited by:

    1. Luca Crivelli & Paola Salari, 2012. "Fiscal federalism and income redistribution through healthcare financing: An empirical analysis for the Swiss cantons," CEPRA working paper 1204, USI Università della Svizzera italiana.
    2. Sotomayor, Orlando J., 2009. "Changes in the Distribution of Household Income in Brazil: The Role of Male and Female Earnings," World Development, Elsevier, vol. 37(10), pages 1706-1715, October.
    3. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
    4. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian assessment of Lorenz and stochastic dominance," Monash Econometrics and Business Statistics Working Papers 15/17, Monash University, Department of Econometrics and Business Statistics.
    5. Andrews, Donald W.K. & Shi, Xiaoxia, 2017. "Inference based on many conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 196(2), pages 275-287.
    6. Susan Thorp & Hardy Hulley & Rebecca McKibbin & Andreas Pedersen, 2009. "Means-Tested Income Support, Portfolio Choice and Decumulation in Retirement," Research Paper Series 248, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Mussa, Richard, 2017. "To Err is Human: Inconsistencies in Food Conversion Factors and Inequality in Malawi," MPRA Paper 75981, University Library of Munich, Germany.
    8. Franck A. Cowell & Emmanuel Flachaire, 2015. "Statistical Methods for Distributional Analysis," AMSE Working Papers 1507, Aix-Marseille School of Economics, Marseille, France.
    9. Stephen G. Donald & Yu‐Chin Hsu & Garry F. Barrett, 2012. "Incorporating covariates in the measurement of welfare and inequality: methods and applications," Econometrics Journal, Royal Economic Society, vol. 15(1), pages 1-30, February.
    10. Mohamed Khaled & Paul Makdissi & Myra Yazbeck, 2016. "Income-Related Health Transfers Principles and Orderings of Joint Distributions of Income and Health," Working Papers 160009, Canadian Centre for Health Economics.
    11. David Lander & David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2016. "Bayesian Assessment of Lorenz and Stochastic Dominance Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 2023, The University of Melbourne.
    12. Firmin Doko Tchatoka & Robert Garrard & Virginie Masson, 2017. "Testing for Stochastic Dominance in Social Networks," School of Economics Working Papers 2017-02, University of Adelaide, School of Economics.
    13. Amy Beech & Rosetta Dollman & Richard Finlay & Gianni La Cava, 2014. "The Distribution of Household Spending in Australia," RBA Bulletin, Reserve Bank of Australia, pages 13-22, March.
    14. Dhongde, Shatakshee, 2017. "Measuring Segregation of the Poor: Evidence from India," World Development, Elsevier, vol. 89(C), pages 111-123.
    15. Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.
    16. Nianqing Liu & Yao Luo, 2014. "A Nonparametric Test of Exogenous Participation in First-Price Auctions," Working Papers tecipa-519, University of Toronto, Department of Economics.
    17. Barrett, Garry F. & Donald, Stephen G. & Hsu, Yu-Chin, 2016. "Consistent tests for poverty dominance relations," Journal of Econometrics, Elsevier, vol. 191(2), pages 360-373.

  4. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    See citations under working paper version above.
  5. Bhattacharya, Debopam & Dupas, Pascaline, 2012. "Inferring welfare maximizing treatment assignment under budget constraints," Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
    See citations under working paper version above.
  6. Debopam Bhattacharya & Bhashkar Mazumder, 2011. "A nonparametric analysis of black–white differences in intergenerational income mobility in the United States," Quantitative Economics, Econometric Society, vol. 2(3), pages 335-379, November.

    Cited by:

    1. Yonghong An & Wang Le & Ruli Xiao, 2015. "Your American Dream is Not Mine! A New Approach to Estimating Intergenerational Mobility Elasticities," Caepr Working Papers 2015-016 Classification-, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
    2. Richey, Jeremiah & Rosburg, Alicia, 2016. "Understanding intergenerational economic mobility by decomposing joint distributions," MPRA Paper 72665, University Library of Munich, Germany.
    3. Mazumder, Bhashkar, 2015. "Estimating the Intergenerational Elasticity and Rank Association in the U.S.: Overcoming the Current Limitations of Tax Data," Working Paper Series WP-2015-4, Federal Reserve Bank of Chicago.
    4. Markus Jantti & Stephen P. Jenkins, 2014. "Income Mobility," Working Papers 319, ECINEQ, Society for the Study of Economic Inequality.
    5. Azam, Mehtabul, 2016. "Household Income Mobility in India: 1993-2011," IZA Discussion Papers 10308, Institute for the Study of Labor (IZA).
    6. Bhashkar Mazumder, 2011. "Black-White Differences in Intergenerational Economic Mobility in the U.S," Working Papers 11-40, Center for Economic Studies, U.S. Census Bureau.
    7. Deirdre Bloome, 2017. "Childhood Family Structure and Intergenerational Income Mobility in the United States," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 541-569, April.
    8. Daniel D. Schnitzlein, 2014. "A New Look at Intergenerational Mobility in Germany Compared to the US," SOEPpapers on Multidisciplinary Panel Data Research 689, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Viktoria Hnatkovska & Amartya Lahiri & Sourabh B. Paul, 2013. "Breaking the Caste Barrier: Intergenerational Mobility in India," Journal of Human Resources, University of Wisconsin Press, vol. 48(2), pages 435-473.
    10. Daniel D. Schnitzlein, 2016. "A New Look at Intergenerational Mobility in Germany Compared to the U.S," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(4), pages 650-667, December.
    11. Julia Schwenkenberg, 2013. "Selection into Occupations and the Intergenerational Socioeconomic Mobility of Daughters and Sons," Working Papers Rutgers University, Newark 2013-006, Department of Economics, Rutgers University, Newark.
    12. Robert A. Margo, 2016. "Obama, Katrina, and the Persistence of Racial Inequality," NBER Working Papers 21933, National Bureau of Economic Research, Inc.
    13. Liana E. Fox, 2016. "Parental Wealth and the Black–White Mobility Gap in the U.S," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(4), pages 706-723, December.
    14. Corak, Miles & Lindquist, Matthew & Mazumder., Bhashkar, 2014. "A Comparison of Upward and Downward Intergenerational Mobility in Canada, Sweden and the United States," Working Paper Series 5/2014, Stockholm University, Swedish Institute for Social Research.
    15. McDonough, Ian K., 2015. "Dynamics of the black–white gap in academic achievement," Economics of Education Review, Elsevier, vol. 47(C), pages 17-33.
    16. Mathias Huebener, 2012. "The Role of Family Risk Attitudes in Education and Intergenerational Mobility: An Empirical Analysis," SOEPpapers on Multidisciplinary Panel Data Research 529, DIW Berlin, The German Socio-Economic Panel (SOEP).
    17. Bratberg, Espen & Davis, Jonathan & Mazumder, Bhashkar & Nybom, Martin & Schnitzlein, Daniel & Vaage, Kjell, 2015. "A comparison of intergenerational mobility curves in Germany, Norway, Sweden and the U.S," Working Papers in Economics 01/15, University of Bergen, Department of Economics.
    18. Richey, Jeremiah & Rosburg, Alicia, 2015. "Decomposing economic mobility transition matrices," MPRA Paper 66485, University Library of Munich, Germany.
    19. Doan, Quang Hung & Nguyen, Ngoc Anh, 2016. "Intergenerational Income Mobility in Vietnam," MPRA Paper 70603, University Library of Munich, Germany.
    20. Kroeger, Sarah & Thompson, Owen, 2016. "Educational mobility across three generations of American women," Economics of Education Review, Elsevier, vol. 53(C), pages 72-86.
    21. Daniel H. Cooper & María José Luengo-Prado, 2011. "House price growth when kids are teenagers: a path to higher intergenerational achievement?," Working Papers 11-6, Federal Reserve Bank of Boston.
    22. Millimet, Daniel L. & Tchernis, Rusty, 2013. "Anthropometric Mobility During Childhood," IZA Discussion Papers 7453, Institute for the Study of Labor (IZA).
    23. Dang, Thang, 2015. "Intergenerational mobility of earnings and income among sons and daughters in Vietnam," MPRA Paper 75357, University Library of Munich, Germany.
    24. Millimet, Daniel L. & Tchernis, Rusty, 2013. "The Origins of Early Childhood Anthropometric Persistence," IZA Discussion Papers 7657, Institute for the Study of Labor (IZA).
    25. Adams, Scott & Bose, Niloy & Rustichini, Aldo, 2014. "How different are smokers? An analysis based on personal finances," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 40-50.
    26. Richey, Jeremiah & Rosburg, Alicia, 2016. "Decomposing Joint Distributions via Reweighting Functions: An Application to Intergenerational Economic Mobility," MPRA Paper 74744, University Library of Munich, Germany.
    27. Gary A. Hoover & Ryan A. Compton & Daniel C. Giedeman, 2015. "The Impact of Economic Freedom on the Black/White Income Gap," American Economic Review, American Economic Association, vol. 105(5), pages 587-592, May.
    28. Xiao, Mimi, 2015. "Intergenerational transmission and the effects of health on migration," Economics PhD Theses 0515, Department of Economics, University of Sussex.
    29. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2016. "Status Traps," Working Paper series 16-13, Rimini Centre for Economic Analysis.

  7. Bhattacharya, Debopam, 2009. "Inferring Optimal Peer Assignment From Experimental Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 486-500.

    Cited by:

    1. Jason R. Blevins, 2013. "Non-Standard Rates of Convergence of Criterion-Function-Based Set Estimators," Working Papers 13-02, Ohio State University, Department of Economics.
    2. Erik O. Kimbrough & Andrew D. McGee & Hitoshi Shigeoka, 2017. "How Do Peers Impact Learning? An Experimental Investigation of Peer-to-Peer Teaching and Ability Tracking," NBER Working Papers 23439, National Bureau of Economic Research, Inc.
    3. Magdalena Bennett & Peter Leopold S. Bergman, 2018. "Better Together? Social Networks in Truancy and the Targeting of Treatment," CESifo Working Paper Series 6848, CESifo Group Munich.
    4. Garlick, Robert, 2014. "Academic peer effects with different group assignment policies : residential tracking versus random assignment," Policy Research Working Paper Series 6787, The World Bank.
    5. Debopam Bhattacharya, 2012. "Evaluating Treatment Protocols using Data Combination," Economics Series Working Papers 609, University of Oxford, Department of Economics.
    6. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," Economics Series Working Papers 646, University of Oxford, Department of Economics.
    7. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2014. "Are University Admissions Academically Fair?," CREATES Research Papers 2014-06, Department of Economics and Business Economics, Aarhus University.
    8. Jonas Hjort, 2013. "Ethnic Divisions and Production in Firms," CESifo Working Paper Series 4449, CESifo Group Munich.
    9. Bennett, Magdalena & Bergman, Peter, 2018. "Better Together? Social Networks in Truancy and the Targeting of Treatment," IZA Discussion Papers 11267, Institute for the Study of Labor (IZA).
    10. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2011. "From Natural Variation to Optimal Policy? The Lucas Critique Meets Peer Effects," NBER Working Papers 16865, National Bureau of Economic Research, Inc.
    11. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2014. "Complementarity and aggregate implications of assortative matching: A nonparametric analysis," Quantitative Economics, Econometric Society, vol. 5, pages 29-66, March.
    12. Santiago Pereda-Fernández, 2017. "Social Spillovers in the Classroom: Identification, Estimation and Policy Analysis," Economica, London School of Economics and Political Science, vol. 84(336), pages 712-747, October.

  8. Bhattacharya, Debopam, 2008. "A Permutation-Based Estimator For Monotone Index Models," Econometric Theory, Cambridge University Press, vol. 24(03), pages 795-807, June.

    Cited by:

    1. Honore, Bo E. & Hu, Luojia, 2015. "Simpler Bootstrap Estimation of the Asymptotic Variance of U-statistic Based Estimators," Working Paper Series WP-2015-7, Federal Reserve Bank of Chicago.

  9. Bhattacharya, Debopam, 2008. "Inference in panel data models under attrition caused by unobservables," Journal of Econometrics, Elsevier, vol. 144(2), pages 430-446, June.

    Cited by:

    1. Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments," Boston College Working Papers in Economics 839, Boston College Department of Economics.
    2. Seger, R. & Franses, Ph.H.B.F., 2007. "Panel design effects on response rates and response quality," Econometric Institute Research Papers EI 2007-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Heng Chen & Marie-Hélène Felt & Kim Huynh, 2014. "Retail Payment Innovations and Cash Usage: Accounting for Attrition Using Refreshment Samples," Staff Working Papers 14-27, Bank of Canada.
    4. Das, J.W.M. & van Soest, A.H.O. & Toepoel, V., 2011. "Nonparametric tests of panel conditioning and attrition bias in panel surveys," Other publications TiSEM 76b0a827-e4b6-403d-8465-a, Tilburg University, School of Economics and Management.
    5. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    6. Seik Kim, 2013. "Wage Mobility of Foreign-Born Workers in the United States," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 628-658.
    7. Emre Ekinci & Insan Tunah & Berk Yavuzoglu, 2017. "Rescaled Additivity Non-Ignorable (RAN) Model of Generalized Attrition," Working Papers 1702, Nazarbayev University, Department of Economics, revised Mar 2017.
    8. Insan Tunali & Emre Ekinci & Berk Yavuzoglu, 2012. "Rescaled Additively Non-ignorable (RAN) Model of Attrition and Substitution," Koç University-TUSIAD Economic Research Forum Working Papers 1220, Koc University-TUSIAD Economic Research Forum.
    9. Seik Kim, "undated". "Sample Attrition in the Presence of Population Attrition," Working Papers UWEC-2009-02, University of Washington, Department of Economics.
    10. Heng Chen & Marie-Hélène Felt & Kim P. Huynh, 2017. "Retail payment innovations and cash usage: accounting for attrition by using refreshment samples," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 503-530, February.
    11. Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
    12. Laurent Davezies & Xavier d'Haultfoeuille, 2013. "Endogenous Attrition in Panels," Working Papers 2013-17, Center for Research in Economics and Statistics.
    13. Seik Kim & Nalina Varanasi, "undated". "Labor Supply of Married Women in Credit-Constrained Households: Theory and Evidence," Working Papers UWEC-2010-01, University of Washington, Department of Economics.

  10. Bhattacharya, Debopam, 2007. "Inference on inequality from household survey data," Journal of Econometrics, Elsevier, vol. 137(2), pages 674-707, April.

    Cited by:

    1. Francesco Andreoli & Eugenio Peluso, 2017. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," DISCE - Working Papers del Dipartimento di Economia e Finanza def055, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    2. Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.
    3. Davidson, Russell, 2009. "Reliable inference for the Gini index," Journal of Econometrics, Elsevier, vol. 150(1), pages 30-40, May.
    4. Bhargab Chattopadhyay & Shyamal Krishna De, 2016. "Estimation of Gini Index within Pre-Specified Error Bound," Econometrics, MDPI, Open Access Journal, vol. 4(3), pages 1-12, June.
    5. ANDREOLI Francesco & PELUSO Eugenio, 2017. "So close yet so unequal: Spatial inequality in American cities," LISER Working Paper Series 2017-11, LISER.
    6. 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.
    7. Xiaofeng Lv & Gupeng Zhang & Guangyu Ren, 2017. "Gini index estimation for lifetime data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 275-304, April.
    8. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on Counterfactual Distributions," Papers 0904.0951, arXiv.org, revised Sep 2013.
    9. Lynn A. Karoly & Carsten Schröder, 2014. "Fast Methods for Jackknifing Inequality Indices," SOEPpapers on Multidisciplinary Panel Data Research 643, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Firpo, Sergio, 2010. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," IZA Discussion Papers 4841, Institute for the Study of Labor (IZA).
    11. Wang, Dongliang & Zhao, Yichuan & Gilmore, Dirk W., 2016. "Jackknife empirical likelihood confidence interval for the Gini index," Statistics & Probability Letters, Elsevier, vol. 110(C), pages 289-295.
    12. Judith A. Clarke & Nilanjana Roy, 2009. "On Statistical Inference for Inequality Measures Calculated from Complex Survey Data," Econometrics Working Papers 0904, Department of Economics, University of Victoria.
    13. Franck A. Cowell & Emmanuel Flachaire, 2015. "Statistical Methods for Distributional Analysis," AMSE Working Papers 1507, Aix-Marseille School of Economics, Marseille, France.
    14. Christopher J. Bennett and Shabana Mitra, 2011. "Multidimensional Poverty: Measurement, Estimation, and Inference," OPHI Working Papers ophiwp047, Queen Elizabeth House, University of Oxford.
    15. Stephen G. Donald & Yu‐Chin Hsu & Garry F. Barrett, 2012. "Incorporating covariates in the measurement of welfare and inequality: methods and applications," Econometrics Journal, Royal Economic Society, vol. 15(1), pages 1-30, February.
    16. Judith A. Clarke & Ahmed A. Hoque, 2014. "On Variance Estimation for a Gini Coefficient Estimator Obtained from Complex Survey Data," Econometrics Working Papers 1401, Department of Economics, University of Victoria.
    17. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
    18. Farfán, Gabriela & Genoni, María Eugenia & Vakis, Renos, 2017. "You are what (and where) you eat: Capturing food away from home in welfare measures," Food Policy, Elsevier, vol. 72(C), pages 146-156.
    19. 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.

  11. Bhattacharya, Debopam, 2005. "Asymptotic inference from multi-stage samples," Journal of Econometrics, Elsevier, vol. 126(1), pages 145-171, May.

    Cited by:

    1. Bhargab Chattopadhyay & Shyamal Krishna De, 2016. "Estimation of Gini Index within Pre-Specified Error Bound," Econometrics, MDPI, Open Access Journal, vol. 4(3), pages 1-12, June.
    2. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    3. DUo Qin & Yimeng Liu, 2013. "Modelling Scale Effect in Crosssection Data:The Case of Hedonic Price Regression," Working Papers 184, Department of Economics, SOAS, University of London, UK.
    4. Bartalotti, Otávio C. & Brummet, Quentin O., 2016. "Regression Discontinuity Designs with Clustered Data: Variance and Bandwidth Choice," ISU General Staff Papers 201608010700001001, Iowa State University, Department of Economics.
    5. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 106, University of California, Davis, Department of Economics.
    6. Ekki Syamsulhakim, 2008. "The significance of Sampling Design on Inference: An Analysis of Binary Outcome Model of Children’s Schooling Using Indonesian Large Multi-stage Sampling Data," Working Papers in Economics and Development Studies (WoPEDS) 200809, Department of Economics, Padjadjaran University, revised Oct 2008.
    7. Viktoria Hnatkovska & Amartya Lahiri & Sourabh B. Paul, 2013. "Breaking the Caste Barrier: Intergenerational Mobility in India," Journal of Human Resources, University of Wisconsin Press, vol. 48(2), pages 435-473.
    8. Judith A. Clarke & Nilanjana Roy, 2009. "On Statistical Inference for Inequality Measures Calculated from Complex Survey Data," Econometrics Working Papers 0904, Department of Economics, University of Victoria.
    9. Paulo M.D.C. Parente & Joao M.C. Santos Silva, 2013. "Quantile regression with clustered data," Discussion Papers 1305, Exeter University, Department of Economics.
    10. Tarozzi, Alessandro, 2007. "Calculating Comparable Statistics From Incomparable Surveys, With an Application to Poverty in India," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 314-336, July.
    11. Judith A. Clarke & Ahmed A. Hoque, 2014. "On Variance Estimation for a Gini Coefficient Estimator Obtained from Complex Survey Data," Econometrics Working Papers 1401, Department of Economics, University of Victoria.
    12. Michela Tincani, 2014. "School Vouchers and the Joint Sorting of Students and Teachers," Working Papers 2014-012, Human Capital and Economic Opportunity Working Group.
    13. Smith, Travis A., 2013. ""Billions and Billions Served" Heterogeneous Effects of Food Source on Child Dietary Quality," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151212, Agricultural and Applied Economics Association.
    14. Farfán, Gabriela & Genoni, María Eugenia & Vakis, Renos, 2017. "You are what (and where) you eat: Capturing food away from home in welfare measures," Food Policy, Elsevier, vol. 72(C), pages 146-156.
    15. Barrett, Garry F. & Donald, Stephen G. & Hsu, Yu-Chin, 2016. "Consistent tests for poverty dominance relations," Journal of Econometrics, Elsevier, vol. 191(2), pages 360-373.

  12. Bhattacharya, Debopam, 2004. "Seemingly unrelated regressions with identical regressors: a note," Economics Letters, Elsevier, vol. 85(2), pages 247-255, November.

    Cited by:

    1. Arimura, Toshi & Hibiki, Akira & Katayama, Hajime, 2007. "Is a Voluntary Approach an Effective Environmental Policy Instrument? A Case for Environmental Management Systems," Discussion Papers dp-07-31, Resources For the Future.
    2. Andres J. Vargas, 2016. "Assimilation effects beyond the labor market: time allocations of Mexican immigrants to the US," Review of Economics of the Household, Springer, vol. 14(3), pages 625-668, September.

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This author is among the top 5% authors according to these criteria:
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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 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 (2) 2008-01-05 2008-11-11
  2. NEP-EDU: Education (2) 2012-06-25 2014-03-08
  3. NEP-AFR: Africa (1) 2013-03-09
  4. NEP-DCM: Discrete Choice Models (1) 2013-11-02
  5. NEP-EXP: Experimental Economics (1) 2012-06-25
  6. NEP-HEA: Health Economics (1) 2013-03-16
  7. NEP-LAB: Labour Economics (1) 2012-06-25
  8. NEP-UPT: Utility Models & Prospect Theory (1) 2013-11-02

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