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Debopam Bhattacharya

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 & Tatiana Komarova, 2021. "Incorporating Social Welfare in Program-Evaluation and Treatment Choice," Papers 2105.08689, arXiv.org, revised Nov 2022.

    Cited by:

    1. Maitra, Pushkar & Mitra, Sandip & Mookherjee, Dilip & Visaria, Sujata, 2022. "Evaluating the distributive effects of a micro-credit intervention," Journal of Development Economics, Elsevier, vol. 158(C).
    2. Ganesh Karapakula, 2022. "An Axiomatic Framework for Cost-Benefit Analysis," Papers 2207.13033, arXiv.org.

  2. Bhattacharya, D. & Rabovic, R., 2020. "Do Elite Universities Practise Meritocratic Admissions? Evidence from Cambridge," Cambridge Working Papers in Economics 2056, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Karlsson, Linn & Wikström, Magnus, 2021. "Gender differences in admission scores and first-year university achievement," Umeå Economic Studies 1001, Umeå University, Department of Economics.
    2. Judith M. Delaney & Paul J. Devereux, 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," Working Papers 202103, School of Economics, University College Dublin.

  3. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2019. "Demand and Welfare Analysis in Discrete Choice Models with Social Interactions," CREATES Research Papers 2019-09, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    2. Michael P. Leung, 2020. "Equilibrium computation in discrete network games," Quantitative Economics, Econometric Society, vol. 11(4), pages 1325-1347, November.
    3. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    4. Wilfried Youmbi, 2024. "Nonparametric Analysis of Random Utility Models Robust to Nontransitive Preferences," Papers 2406.13969, arXiv.org.

  4. Debopam Bhattacharya, 2019. "The Empirical Content of Binary Choice Models," Papers 1902.11012, arXiv.org, revised Oct 2020.

    Cited by:

    1. Zheng Fang & Juwon Seo, 2021. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Econometrica, Econometric Society, vol. 89(5), pages 2439-2458, September.
    2. Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
    3. Petri, Henrik, 2023. "Binary single-crossing random utility models," Games and Economic Behavior, Elsevier, vol. 138(C), pages 311-320.

  5. Lee, Y-Y. & Bhattacharya, D., 2018. "Applied Welfare Analysis for Discrete Choice with Interval-data on Income," Cambridge Working Papers in Economics 1882, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    2. Debopam Bhattacharya & Tatiana Komarova, 2021. "Incorporating Social Welfare in Program-Evaluation and Treatment Choice," Papers 2105.08689, arXiv.org, revised Nov 2022.
    3. Bhattacharya, D., 2018. "The Empirical Content of Binary Choice Models," Cambridge Working Papers in Economics 1883, Faculty of Economics, University of Cambridge.

  6. Bhattacharya, D. & Dupas, P. & Kanaya, S., 2018. "Demand and Welfare Analysis in Discrete Choice Models under Social Interactions," Cambridge Working Papers in Economics 1885, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Debopam Bhattacharya & Tatiana Komarova, 2021. "Incorporating Social Welfare in Program-Evaluation and Treatment Choice," Papers 2105.08689, arXiv.org, revised Nov 2022.
    2. Babcock, Philip & Bedard, Kelly & Fischer, Stefanie & Hartman, John, 2020. "Coordination and contagion: Individual connections and peer mechanisms in a randomized field experiment," Journal of Public Economics, Elsevier, vol. 185(C).

  7. Kanaya, S. & Bhattacharya, D., 2017. "Uniform Convergence of Smoothed Distribution Functions with an Application to Delta Method for the Lorenz Curve," Cambridge Working Papers in Economics 1760, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Masayuki Hirukawa & Irina Murtazashvili & Artem Prokhorov, 2022. "Uniform convergence rates for nonparametric estimators smoothed by the beta kernel," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1353-1382, September.

  8. 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.

    Cited by:

    1. Arcidiacono, Peter & Kinsler, Josh & Ransom, Tyler, 2022. "Asian American Discrimination in Harvard Admissions," European Economic Review, Elsevier, vol. 144(C).
    2. Karlsson, Linn & Wikström, Magnus, 2021. "Gender differences in admission scores and first-year university achievement," Umeå Economic Studies 1001, Umeå University, Department of Economics.
    3. Bhattacharya, D. & Shvets, J., 2022. "Inferring the Performance Diversity Trade-Off in University Admissions: Evidence from Cambridge," Cambridge Working Papers in Economics 2238, Faculty of Economics, University of Cambridge.
    4. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    5. Bhattacharya, D. & Rabovic, R., 2020. "Do Elite Universities Practise Meritocratic Admissions? Evidence from Cambridge," Cambridge Working Papers in Economics 2056, Faculty of Economics, University of Cambridge.
    6. 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 of Labor Economics (IZA).

  9. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," CREATES Research Papers 2013-06, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Rokhaya Dieye & Habiba Djebbari & Felipe Barrera-Osorio, 2014. "Accounting for Peer Effects in Treatment Response," Working Papers halshs-01025680, HAL.
    2. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    3. Debopam Bhattacharya, 2013. "Nonparametric Welfare Analysis for Discrete Choice," Economics Series Working Papers 669, University of Oxford, Department of Economics.
    4. Bhattacharya, D. & Dupas, P. & Kanaya, S., 2018. "Demand and Welfare Analysis in Discrete Choice Models under Social Interactions," Cambridge Working Papers in Economics 1885, Faculty of Economics, University of Cambridge.
    5. Dupas, Pascaline & Miguel, Edward, 2016. "Impacts and Determinants of Health Levels in Low-Income Countries," Department of Economics, Working Paper Series qt3r04k69j, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.

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

    Cited by:

    1. Romuald Meango & Esther Mirjam Girsberger, 2023. "Identification of Ex ante Returns Using Elicited Choice Probabilities: an Application to Preferences for Public-sector Jobs," Papers 2303.03009, arXiv.org, revised Jun 2024.
    2. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    3. Sam Cosaert & Thomas Demuynck, 2018. "Nonparametric welfare and demand analysis with unobserved individual heterogeneity," ULB Institutional Repository 2013/251988, ULB -- Universite Libre de Bruxelles.
    4. 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.
    5. 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).
    6. Debopam Bhattacharya & Tatiana Komarova, 2021. "Incorporating Social Welfare in Program-Evaluation and Treatment Choice," Papers 2105.08689, arXiv.org, revised Nov 2022.
    7. Kory Kroft & Yao Luo & Magne Mogstad & Bradley Setzler, 2020. "Imperfect Competition and Rents in Labor and Product Markets: The Case of the Construction Industry," NBER Working Papers 27325, National Bureau of Economic Research, Inc.
    8. Bhattacharya, D., 2018. "The Empirical Content of Binary Choice Models," Cambridge Working Papers in Economics 1883, Faculty of Economics, University of Cambridge.
    9. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2024. "Demand and Welfare Analysis in Discrete Choice Models with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 748-784.
    10. Bhattacharya, D. & Dupas, P. & Kanaya, S., 2018. "Demand and Welfare Analysis in Discrete Choice Models under Social Interactions," Cambridge Working Papers in Economics 1885, Faculty of Economics, University of Cambridge.
    11. Thiptaiya Sydavong & Daisaku Goto & Keisuke Kawata & Shinji Kaneko & Masaru Ichihashi, 2019. "Potential demand for voluntary community-based health insurance improvement in rural Lao People’s Democratic Republic: A randomized conjoint experiment," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-21, January.
    12. Thomas Demuynck, 2018. "Testing the homogeneous marginal utility of income assumption," ULB Institutional Repository 2013/251991, ULB -- Universite Libre de Bruxelles.
    13. Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
    14. Jerry A. Hausman & Whitney K. Newey, 2016. "Individual Heterogeneity and Average Welfare," Econometrica, Econometric Society, vol. 84, pages 1225-1248, May.
    15. Sandomirskiy, Fedor & Ushchev, Philip, 2024. "The geometry of consumer preference aggregation," CEPR Discussion Papers 19100, C.E.P.R. Discussion Papers.
    16. Bart Cap'eau & Liebrecht De Sadeleer & Sebastiaan Maes, 2023. "Identifying the Distribution of Welfare from Discrete Choice," Papers 2303.02645, arXiv.org, revised Jan 2025.
    17. Haikady N Nagaraja & Shane Sanders, 2020. "The aggregation paradox for statistical rankings and nonparametric tests," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-21, March.
    18. Romauld Méango, 2023. "Identification of ex ante returns using elicited choice probabilities," Economics Series Working Papers 1007, University of Oxford, Department of Economics.
    19. Paolo Delle Site & André de Palma & Karim Kilani, 2022. "Consumers' welfare and compensating variation: survey and mode choice application," Working Papers hal-03719025, HAL.
    20. Bart Capéau & Liebrecht De Sadeleer & Sebastiaan Maes & André M.J. Decoster, 2021. "Nonparametric Welfare Analysis for Discrete Choice: Levels and Differences of Individual and Social Welfare," CESifo Working Paper Series 9071, CESifo.
    21. KANEKO Shinji & KAWATA Keisuke & YIN Ting, 2019. "Estimating Family Preference for Home Elderly-care Services: Large-scale Conjoint Survey Experiment in Japan," Discussion papers 19092, Research Institute of Economy, Trade and Industry (RIETI).
    22. Sebastiaan Maes & Raghav Malhotra, 2023. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," Papers 2303.01231, arXiv.org, revised Nov 2023.
    23. John K. Dagsvik, 2020. "Marginal compensated effects and the slutsky equation for discrete choice models," Discussion Papers 930, Statistics Norway, Research Department.
    24. Allen, Roy & Rehbeck, John, 2022. "Latent complementarity in bundles models," Journal of Econometrics, Elsevier, vol. 228(2), pages 322-341.
    25. Maes, Sebastiaan & Malhotra, Raghav, 2024. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," CRETA Online Discussion Paper Series 84, Centre for Research in Economic Theory and its Applications CRETA.
    26. 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. Debopam Bhattacharya, 2012. "Evaluating Treatment Protocols using Data Combination," Economics Series Working Papers 609, University of Oxford, Department of Economics.

    Cited by:

    1. D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2022. "Partially Linear Models under Data Combination," IZA Discussion Papers 15230, Institute of Labor Economics (IZA).
    2. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022. "Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs," NBER Working Papers 30469, National Bureau of Economic Research, Inc.
    3. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2012. "Are University Admissions Academically Fair?," Economics Series Working Papers 608, University of Oxford, Department of Economics.
    4. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.

  12. 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. FUJISHIMA Shota & HOSHINO Tadao & SUGAWARA Shinya, 2020. "Heterogeneous Treatment Effects of Place-based Policies: Which Cities Should be Targeted?," Discussion papers 20036, Research Institute of Economy, Trade and Industry (RIETI).
    2. Jonas Hjort, 2013. "Ethnic Divisions and Production in Firms," CESifo Working Paper Series 4449, CESifo.
    3. Toru Kitagawa & Aleksey Tetenov, 2018. "Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
    4. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
    5. Carlos Fernández-Loría & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2023. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Information Systems Research, INFORMS, vol. 34(2), pages 786-803, June.
    6. Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. 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.
    8. Toru Kitagawa & Aleksey Tetenov, 2018. "Equality-minded treatment choice," CeMMAP working papers CWP71/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. 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.
    10. Sørensen, Bent E & Nygaard, Vegard M. & Wang, Fan, 2020. "Optimal allocations to heterogeneous agents with an application to stimulus checks," CEPR Discussion Papers 15283, C.E.P.R. Discussion Papers.
    11. Lai Xinglin, 2021. "Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest," Papers 2111.15320, arXiv.org, revised Mar 2022.
    12. Giovanni Cerulli, 2020. "Optimal Policy Learning: From Theory to Practice," Papers 2011.04993, arXiv.org.
    13. Kirill Ponomarev & Vira Semenova, 2024. "On the Lower Confidence Band for the Optimal Welfare," Papers 2410.07443, arXiv.org, revised Oct 2024.
    14. John List & Imran Rasul, 2010. "Field experiments in labor economics," Artefactual Field Experiments 00092, The Field Experiments Website.
    15. Debopam Bhattacharya & Tatiana Komarova, 2021. "Incorporating Social Welfare in Program-Evaluation and Treatment Choice," Papers 2105.08689, arXiv.org, revised Nov 2022.
    16. Victor Chernozhukov & Iván Fernández‐Val & Ye Luo, 2018. "The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages," Econometrica, Econometric Society, vol. 86(6), pages 1911-1938, November.
    17. Ferracci, Marc & Jolivet, Grégory & van den Berg, Gerard J., 2010. "Treatment Evaluation in the Case of Interactions within Markets," IZA Discussion Papers 4700, Institute of Labor Economics (IZA).
    18. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    19. Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
    20. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    21. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    22. Anders Bredahl Kock & David Preinerstorfer, 2024. "Regularizing Discrimination in Optimal Policy Learning with Distributional Targets," Papers 2401.17909, arXiv.org.
    23. Juliano Assunção & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," NBER Working Papers 25636, National Bureau of Economic Research, Inc.
    24. Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
    25. Daniel F. Pellatt, 2022. "PAC-Bayesian Treatment Allocation Under Budget Constraints," Papers 2212.09007, arXiv.org, revised Jun 2023.
    26. Bhattacharya, D. & Dupas, P. & Kanaya, S., 2018. "Demand and Welfare Analysis in Discrete Choice Models under Social Interactions," Cambridge Working Papers in Economics 1885, Faculty of Economics, University of Cambridge.
    27. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    28. Xiaohong Chen & Zhengling Qi & Runzhe Wan, 2023. "STEEL: Singularity-aware Reinforcement Learning," Papers 2301.13152, arXiv.org, revised Jun 2024.
    29. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    30. Roshni Sahoo & Stefan Wager, 2022. "Policy Learning with Competing Agents," Papers 2204.01884, arXiv.org, revised Apr 2024.
    31. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2014. "Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment," NBER Working Papers 20142, National Bureau of Economic Research, Inc.
    32. Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Dec 2024.
    33. Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2022. "Functional Sequential Treatment Allocation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(539), pages 1311-1323, September.
    34. Yan Liu, 2022. "Policy Learning under Endogeneity Using Instrumental Variables," Papers 2206.09883, arXiv.org, revised Mar 2024.
    35. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
    36. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.
    37. Eric Mbakop & Max Tabord‐Meehan, 2021. "Model Selection for Treatment Choice: Penalized Welfare Maximization," Econometrica, Econometric Society, vol. 89(2), pages 825-848, March.
    38. Yuya Sasaki & Takuya Ura, 2020. "Welfare Analysis via Marginal Treatment Effects," Papers 2012.07624, arXiv.org.
    39. Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org, revised Jul 2024.
    40. Firpo, Sergio & Galvao, Antonio F. & Kobus, Martyna & Parker, Thomas & Rosa-Dias, Pedro, 2020. "Loss Aversion and the Welfare Ranking of Policy Interventions," IZA Discussion Papers 13176, Institute of Labor Economics (IZA).
    41. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2012. "Are University Admissions Academically Fair?," Economics Series Working Papers 608, University of Oxford, Department of Economics.
    42. Toru Kitagawa & Hugo Lopez & Jeff Rowley, 2022. "Stochastic Treatment Choice with Empirical Welfare Updating," Papers 2211.01537, arXiv.org, revised Feb 2023.
    43. Bertrand,Marianne & Crepon,Bruno Jacques Jean Philippe & Marguerie,Alicia Charlene & Premand,Patrick, 2021. "Do Workfare Programs Live Up to Their Promises ? Experimental Evidence from Côte d’Ivoire," Policy Research Working Paper Series 9611, The World Bank.
    44. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    45. Shosei Sakaguchi, 2021. "Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints," Papers 2106.05031, arXiv.org, revised Aug 2024.
    46. 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.
    47. 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.
    48. Toru Kitagawa & Shosei Sakaguchi & Aleksey Tetenov, 2021. "Constrained Classification and Policy Learning," Papers 2106.12886, arXiv.org, revised Jul 2023.
    49. Anders Bredahl Kock & Martin Thyrsgaard, 2017. "Optimal sequential treatment allocation," Papers 1705.09952, arXiv.org, revised Aug 2018.
    50. Garbero, Alessandra & Sakos, Grayson & Cerulli, Giovanni, 2023. "Towards data-driven project design: Providing optimal treatment rules for development projects," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    51. Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers 10/15, Institute for Fiscal Studies.
    52. Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023. "Treatment recommendation with distributional targets," Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
    53. Christopher Adjaho & Timothy Christensen, 2022. "Externally Valid Policy Choice," Papers 2205.05561, arXiv.org, revised Jul 2023.
    54. Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for Continuous Treatments," Papers 2402.02535, arXiv.org, revised Nov 2024.
    55. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    56. Timothy Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," IFS Working Papers WCWP28/24, Institute for Fiscal Studies.
    57. Toru Kitagawa & Aleksey Tetenov, 2017. "Equality-minded treatment choice," CeMMAP working papers 10/17, Institute for Fiscal Studies.
    58. Juliano Assuncao & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," Working Papers tecipa-631, University of Toronto, Department of Economics.
    59. Kohei Yata, 2021. "Optimal Decision Rules Under Partial Identification," Papers 2111.04926, arXiv.org, revised Aug 2023.
    60. Carlos Fern'andez-Lor'ia & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2020. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Papers 2004.11532, arXiv.org, revised Apr 2022.
    61. Karun Adusumilli & Friedrich Geiecke & Claudio Schilter, 2019. "Dynamically Optimal Treatment Allocation," Papers 1904.01047, arXiv.org, revised Nov 2024.
    62. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    63. Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022. "Targeting Impact versus Deprivation," NBER Working Papers 30138, National Bureau of Economic Research, Inc.
    64. Yingjie Zhang & Beibei Li & Xueming Luo & Xiaoyi Wang, 2019. "Personalized Mobile Targeting with User Engagement Stages: Combining a Structural Hidden Markov Model and Field Experiment," Information Systems Research, INFORMS, vol. 30(3), pages 787-804, September.
    65. Liyang Sun, 2024. "Empirical welfare maximization with constraints," CeMMAP working papers 19/24, Institute for Fiscal Studies.
    66. Carlos Fernández-Loría & Foster Provost, 2022. "Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 4-16, April.
    67. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Oct 2024.
    68. Davide Viviano & Jelena Bradic, 2020. "Fair Policy Targeting," Papers 2005.12395, arXiv.org, revised Jun 2022.
    69. Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org, revised May 2024.

  13. 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., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    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 & Pascaline Dupas & Shin Kanaya, 2024. "Demand and Welfare Analysis in Discrete Choice Models with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 748-784.
    See citations under working paper version above.
  2. Debopam Bhattacharya, 2021. "The Empirical Content of Binary Choice Models," Econometrica, Econometric Society, vol. 89(1), pages 457-474, January.
    See citations under working paper version above.
  3. Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
    See citations under working paper version above.
  4. Debopam Bhattacharya, 2018. "Empirical welfare analysis for discrete choice: Some general results," Quantitative Economics, Econometric Society, vol. 9(2), pages 571-615, July.

    Cited by:

    1. Romuald Meango & Esther Mirjam Girsberger, 2023. "Identification of Ex ante Returns Using Elicited Choice Probabilities: an Application to Preferences for Public-sector Jobs," Papers 2303.03009, arXiv.org, revised Jun 2024.
    2. Debopam Bhattacharya & Tatiana Komarova, 2021. "Incorporating Social Welfare in Program-Evaluation and Treatment Choice," Papers 2105.08689, arXiv.org, revised Nov 2022.
    3. Steven Berry & Philip Haile, 2023. "Nonparametric Identification of Differentiated Products Demand Using Micro Data," Cowles Foundation Discussion Papers 2357, Cowles Foundation for Research in Economics, Yale University.
    4. Bhattacharya, D., 2018. "The Empirical Content of Binary Choice Models," Cambridge Working Papers in Economics 1883, Faculty of Economics, University of Cambridge.
    5. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2024. "Demand and Welfare Analysis in Discrete Choice Models with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 748-784.
    6. Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
    7. Vishal Kamat & Samuel Norris, 2020. "Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers," Papers 2002.00103, arXiv.org, revised Aug 2024.
    8. Romauld Méango, 2023. "Identification of ex ante returns using elicited choice probabilities," Economics Series Working Papers 1007, University of Oxford, Department of Economics.
    9. Paolo Delle Site & André de Palma & Karim Kilani, 2022. "Consumers' welfare and compensating variation: survey and mode choice application," Working Papers hal-03719025, HAL.
    10. Bart Capéau & Liebrecht De Sadeleer & Sebastiaan Maes & André M.J. Decoster, 2021. "Nonparametric Welfare Analysis for Discrete Choice: Levels and Differences of Individual and Social Welfare," CESifo Working Paper Series 9071, CESifo.
    11. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," NBER Working Papers 29305, National Bureau of Economic Research, Inc.
    12. KANEKO Shinji & KAWATA Keisuke & YIN Ting, 2019. "Estimating Family Preference for Home Elderly-care Services: Large-scale Conjoint Survey Experiment in Japan," Discussion papers 19092, Research Institute of Economy, Trade and Industry (RIETI).
    13. Debopam Bhattacharya & Anders Kjelsrud & Rohini Somanathan, 2021. "Estimating the Welfare Gains from Public Schools in Rural India," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 430-443, November.
    14. Sebastiaan Maes & Raghav Malhotra, 2023. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," Papers 2303.01231, arXiv.org, revised Nov 2023.
    15. Alessandro Iaria, & Wang, Ao, 2021. "An Empirical Model of Quantity Discounts with Large Choice Sets," The Warwick Economics Research Paper Series (TWERPS) 1378, University of Warwick, Department of Economics.
    16. John K. Dagsvik, 2020. "Marginal compensated effects and the slutsky equation for discrete choice models," Discussion Papers 930, Statistics Norway, Research Department.

  5. 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.
  6. 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.
  7. 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. Ramses Abul Naga & Christopher Stapenhurst & Gaston Yalonetzky, 2020. "Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function," Econometrics, MDPI, vol. 8(1), pages 1-15, February.
    2. 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.
    3. 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.
    4. Nianqing Liu & Yao Luo, 2017. "A Nonparametric Test For Comparing Valuation Distributions In First‐Price Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(3), pages 857-888, August.
    5. Yang Wei & Zhouping Li & Yunqiu Dai, 2022. "Unified smoothed jackknife empirical likelihood tests for comparing income inequality indices," Statistical Papers, Springer, vol. 63(5), pages 1415-1475, October.
    6. 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.
    7. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    8. 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.
    9. Christopher J. Bennett, 2013. "Inference For Dominance Relations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1309-1328, November.
    10. 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.
    11. 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.
    12. Firmin Doko Tchatoka & Robert Garrard & Virginie Masson, 2017. "Testing for Stochastic Dominance in Social Networks," School of Economics and Public Policy Working Papers 2017-02, University of Adelaide, School of Economics and Public Policy.
    13. Hongyi Jiang & Zhenting Sun & Shiyun Hu, 2023. "A Nonparametric Test of $m$th-degree Inverse Stochastic Dominance," Papers 2306.12271, arXiv.org, revised Jul 2023.
    14. Amy Beech & Rosetta Dollman & Richard Finlay & Gianni La Cava, 2014. "The Distribution of Household Spending in Australia," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 13-22, March.
    15. Dhongde, Shatakshee, 2017. "Measuring Segregation of the Poor: Evidence from India," World Development, Elsevier, vol. 89(C), pages 111-123.
    16. Garry F. Barrett & Stephen G. Donald & Yu-Chin Hsu, 2015. "Consistent Tests for Poverty Dominance Relations," IEAS Working Paper : academic research 15-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    17. Susan Thorp & Hardy Hulley & Rebecca McKibbin & Andreas Pedersen, 2009. "Means-tested income support, portfolio choice and decumulation in retirement," CAMA Working Papers 2009-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Pier Luigi Conti & Alberto Iorio & Alessio Guandalini & Daniela Marella & Paola Vicard & Vincenzina Vitale, 2020. "On the estimation of the Lorenz curve under complex sampling designs," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 1-24, March.
    19. Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
    20. 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.
    21. Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2024. "Tests for almost stochastic dominance," Papers 2403.15258, arXiv.org.
    22. Xiaojun Song & Zhenting Sun, 2023. "Almost Dominance: Inference and Application," Papers 2312.02288, arXiv.org.
    23. Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
    24. 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.
    25. Mussa, Richard, 2017. "To Err is Human: Inconsistencies in Food Conversion Factors and Inequality in Malawi," MPRA Paper 75981, University Library of Munich, Germany.
    26. Francesco Andreoli, 2018. "Robust Inference for Inverse Stochastic Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 146-159, January.
    27. Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2021. "Extremal points of Lorenz curves and applications to inequality analysis," Papers 2103.03286, arXiv.org.
    28. Belzunce, Félix & Martínez-Riquelme, Carolina, 2023. "A new stochastic dominance criterion for dependent random variables with applications," Insurance: Mathematics and Economics, Elsevier, vol. 108(C), pages 165-176.

  8. 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.
  9. 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.
  10. 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. Todd E. Elder & David N. Figlio & Scott A. Imberman & Claudia L. Persico, 2021. "School Segregation and Racial Gaps in Special Education Identification," Journal of Labor Economics, University of Chicago Press, vol. 39(S1), pages 151-197.
    2. Marie Connolly & Miles Corak & Catherine Haeck, 2019. "Intergenerational Mobility Between and Within Canada and the United States," Journal of Labor Economics, University of Chicago Press, vol. 37(S2), pages 595-641.
    3. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2022. "The Great Gatsby Curve," NBER Working Papers 29761, National Bureau of Economic Research, Inc.
    4. 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, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    5. Yoosoon Chang & Fabio Gómez-Rodríguez & Christian Matthes, 2023. "The Influence of Fiscal and Monetary Policies on the Shape of the Yield Curve," CAMA Working Papers 2023-65, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Bo, Shiyu & Liu, Jing & Shiu, Ji-Liang & Song, Yan & Zhou, Sen, 2019. "Admission mechanisms and the mismatch between colleges and students: Evidence from a large administrative dataset from China," Economics of Education Review, Elsevier, vol. 68(C), pages 27-37.
    7. Yu-Wei Luke Chu & Ming-Jen Lin, 2020. "Intergenerational earnings mobility in Taiwan: 1990–2010," Empirical Economics, Springer, vol. 59(1), pages 11-45, July.
    8. Rucker C. Johnson, 2018. "Addressing Racial Health Disparities: Looking Back to Point the Way Forward," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 132-171, November.
    9. Miles Corak, 2017. "Divided Landscapes of Economic Opportunity: The Canadian Geography of Intergenerational Income Mobility," Working Papers 2017-043, Human Capital and Economic Opportunity Working Group.
    10. Richey, Jeremiah & Rosburg, Alicia, 2016. "Understanding intergenerational economic mobility by decomposing joint distributions," MPRA Paper 72665, University Library of Munich, Germany.
    11. Bacic, Ryan & Zheng, Angela, 2023. "Race and the income-achievement gap," CLEF Working Paper Series 55, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    12. 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.
    13. Ian K. McDonough & Punarjit Roychowdhury & Gaurav Dhamija, 2021. "Measuring the Dynamics of the Achievement Gap Between Public and Private School Students During Early Life in India," Journal of Labor Research, Springer, vol. 42(1), pages 78-122, March.
    14. Luis Monroy-Gomez-Franco & Roberto Velez-Grajales, 2020. "Skin tone differences in social mobility in mexico: are we forgetting regional variance?," Working Papers 525, ECINEQ, Society for the Study of Economic Inequality.
    15. Millimet, Daniel L. & Tchernis, Rusty, 2015. "Persistence in body mass index in a recent cohort of US children," Economics & Human Biology, Elsevier, vol. 17(C), pages 157-176.
    16. De Giorgi, Giacomo & Gambetti, Luca & Naguib, Costanza, 2020. "Life-Cycle Inequality: Blacks And Whites Differentials In Life Expectancy, Savings, Income, And Consumption," CEPR Discussion Papers 15182, C.E.P.R. Discussion Papers.
    17. Richey, Jeremiah & Rosburg, Alicia, 2015. "Decomposing economic mobility transition matrices," MPRA Paper 66485, University Library of Munich, Germany.
    18. Bacic, Ryan & Zheng, Angela, 2023. "Race and the Income-Achievement Gap," IZA Discussion Papers 16419, Institute of Labor Economics (IZA).
    19. Bhashkar Mazumder, 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.
    20. Doan, Quang Hung & Nguyen, Ngoc Anh, 2016. "Intergenerational Income Mobility in Vietnam," MPRA Paper 70603, University Library of Munich, Germany.
    21. Mehtabul Azam, 2022. "Household income mobility in India, 1993–2011," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 1902-1943, November.
    22. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2017. "Status Traps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 265-287, April.
    23. Brantly Callaway & Weige Huang, 2018. "Local Intergenerational Elasticities," DETU Working Papers 1805, Department of Economics, Temple University.
    24. Patrick Koval, 2018. "Toxic Effects of Lead Disposal in Water: An Analysis of TRI Facility Releases," Working Papers 1809, College of the Holy Cross, Department of Economics.
    25. Markus Jantti & Stephen P. Jenkins, 2014. "Income Mobility," Working Papers 319, ECINEQ, Society for the Study of Economic Inequality.
    26. Brantly Callaway & Weige Huang, 2020. "Distributional Effects of a Continuous Treatment with an Application on Intergenerational Mobility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 808-842, August.
    27. Schnitzlein, Daniel D., 2014. "A new look at intergenerational mobility in Germany compared to the US," Hannover Economic Papers (HEP) dp-538, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    28. Nawazuddin Ahmed & Dinesh K. Nauriyal, 2023. "Occupational and Educational Mobility Among Indian Muslims: Primary Survey-Based Evidence," Millennial Asia, , vol. 14(2), pages 228-259, June.
    29. Lijie Song, 2022. "Examining the Relationship Between Intergenerational Upward Mobility and Inequality: Evidence from Panel Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 1-27, August.
    30. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2019. "Non-separable models with high-dimensional data," Journal of Econometrics, Elsevier, vol. 212(2), pages 646-677.
    31. Kroeger, Sarah & Thompson, Owen, 2016. "Educational mobility across three generations of American women," Economics of Education Review, Elsevier, vol. 53(C), pages 72-86.
    32. Chu, Luke Yu-Wei & Lin, Ming-Jen, 2016. "Economic development and intergenerational earnings mobility: Evidence from Taiwan," Working Paper Series 19495, Victoria University of Wellington, School of Economics and Finance.
    33. Daniel H. Cooper & María Jose 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.
    34. Augustine Denteh & Daniel L. Millimet & Rusty Tchernis, 2019. "The origins of early childhood anthropometric persistence," Empirical Economics, Springer, vol. 56(6), pages 2185-2224, June.
    35. Petar Jolakoski & Arnab Pal & Trifce Sandev & Ljupco Kocarev & Ralf Metzler & Viktor Stojkoski, 2022. "The fate of the American dream: A first passage under resetting approach to income dynamics," Papers 2212.13176, arXiv.org.
    36. Shuai Zhao, 2023. "Family Size and Intergenerational Inequality: Evidence from China's One-child Policy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 283-307, January.
    37. MAURO Joseph, 2020. "The Impact Of Intergenerational Mobility On Msa Growth In The United States," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(1), pages 127-141, April.
    38. Millimet, Daniel L. & Tchernis, Rusty, 2013. "Anthropometric Mobility During Childhood," IZA Discussion Papers 7453, Institute of Labor Economics (IZA).
    39. Brantly Callaway & Tong Li & Irina Murtazashvili, 2021. "Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility," Papers 2107.09235, arXiv.org, revised Jun 2024.
    40. Irina Murtazashvili & Di Liu & Artem Prokhorov, 2015. "Two-sample nonparametric estimation of intergenerational income mobility in the United States and Sweden," Canadian Journal of Economics, Canadian Economics Association, vol. 48(5), pages 1733-1761, December.
    41. Bhashkar Mazumder, 2014. "Black–White Differences in Intergenerational Economic Mobility in the U.S," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I.
    42. Michele Bavaro & Federico Tullio, 2023. "Intergenerational mobility measurement with latent transition matrices," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(1), pages 25-45, March.
    43. Dang, Thang, 2015. "Intergenerational mobility of earnings and income among sons and daughters in Vietnam," MPRA Paper 75357, University Library of Munich, Germany.
    44. Vegard Iversen & Anirudh Krishna & Kunal Sen, 2016. "Rags to riches? Intergenerational occupational mobility in India," Global Development Institute Working Paper Series 042016, GDI, The University of Manchester.
    45. 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.
    46. Bhashkar Mazumder, 2018. "Intergenerational Mobility in the United States: What We Have Learned from the PSID," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 213-234, November.
    47. Jeremiah Richey & Alicia Rosburg, 2020. "Decomposing joint distributions via reweighting functions: an application to intergenerational economic mobility," Econometric Reviews, Taylor & Francis Journals, vol. 39(6), pages 541-558, July.
    48. Corak, Miles & Lindquist, Matthew J. & Mazumder, Bhashkar, 2014. "A comparison of upward and downward intergenerational mobility in Canada, Sweden and the United States," Labour Economics, Elsevier, vol. 30(C), pages 185-200.
    49. Robert A. Margo, "undated". "Obama, Katrina, and the Persistence of Racial Inequality," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-272, Boston University - Department of Economics.
    50. Hanol Lee & Jong‐Wha Lee, 2021. "Patterns and determinants of intergenerational educational mobility: Evidence across countries," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 70-90, February.
    51. Liu, Yaxuan & Hao, Yu & Lu, Zhi Nan, 2022. "Health shock, medical insurance and financial asset allocation: evidence from CHFS in China," LSE Research Online Documents on Economics 117277, London School of Economics and Political Science, LSE Library.
    52. 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.
    53. Halliday, Timothy & Mazumder, Bhashkar & Wong, Ashley, 2021. "Intergenerational mobility in self-reported health status in the US," Journal of Public Economics, Elsevier, vol. 193(C).
    54. Feng, Qundi & He, Qinying, 2022. "Does parental migration increase upward intergenerational mobility? Evidence from rural China," Economic Modelling, Elsevier, vol. 115(C).
    55. Dionissi Aliprantis & Daniel R. Carroll & Eric Young, 2019. "The Dynamics of the Racial Wealth Gap," Working Papers 19-18R, Federal Reserve Bank of Cleveland, revised 29 Nov 2022.
    56. 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.
    57. Shariq Mohammed, A.R., 2019. "Does a good father now have to be rich? Intergenerational income mobility in rural India," Labour Economics, Elsevier, vol. 60(C), pages 99-114.
    58. 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.
    59. Florencia Torche, 2015. "Analyses of Intergenerational Mobility," The ANNALS of the American Academy of Political and Social Science, , vol. 657(1), pages 37-62, January.
    60. Ran Abramitzky & Leah Platt Boustan & Elisa Jácome & Santiago Pérez, 2019. "Intergenerational Mobility of Immigrants over Two Centuries," Working Papers 2019-6, Princeton University. Economics Department..
    61. Xiao, Mimi, 2015. "Intergenerational transmission and the effects of health on migration," Economics PhD Theses 0515, Department of Economics, University of Sussex Business School.
    62. Brantly Callaway & Weige Huang, 2018. "Intergenerational Income Mobility: Counterfactual Distributions with a Continuous Treatment," DETU Working Papers 1801, Department of Economics, Temple University.
    63. Ryan Bacic & Angela Zheng, 2024. "Race and the Income‐Achievement Gap," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 5-23, January.
    64. Monroy-Gómez-Franco, Luis & Vélez-Grajales, Roberto & Yalonetzky, Gastón, 2021. "Layers of inequality: Unequal opportunities and skin colour in Mexico," MPRA Paper 106605, University Library of Munich, Germany.
    65. 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.
    66. Kourtellos, Andros & Marr, Christa & Tan, Chih Ming, 2020. "Local Intergenerational Mobility," European Economic Review, Elsevier, vol. 126(C).
    67. William J. Collins & Marianne H. Wanamaker, 2017. "African American Intergenerational Economic Mobility Since 1880," NBER Working Papers 23395, National Bureau of Economic Research, Inc.
    68. Gregory N. Price & Chris W. Surprenant, 2022. "The Treatment Effect of Business Education on the Supply of High School Entrepreneurs in Atlanta and New Orleans," The American Economist, Sage Publications, vol. 67(1), pages 85-98, March.
    69. Toru Kitagawa & Martin Nybom & Jan Stuhler, 2018. "Measurement error and rank correlations," CeMMAP working papers CWP28/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    70. McDonough, Ian K., 2015. "Dynamics of the black–white gap in academic achievement," Economics of Education Review, Elsevier, vol. 47(C), pages 17-33.
    71. Adnan, Wifag & Zhang, Jonathan & Zheng, Angela, 2023. "Intergenerational Mobility of Immigrants by Refugee Status: An Analysis of Linked Landing Files and Tax Records," IZA Discussion Papers 16471, Institute of Labor Economics (IZA).
    72. 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).
    73. Zachary Ward, 2019. "Internal Migration, Education and Upward Rank Mobility:Evidence from American History," CEH Discussion Papers 04, Centre for Economic History, Research School of Economics, Australian National University.
    74. Vladimir Hlasny & Shireen AlAzzawi, 2020. "Return Migration and Earnings Mobility in Egypt, Jordan and Tunisia," Working Papers 562, ECINEQ, Society for the Study of Economic Inequality.

  11. 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. Xavier d'Haultfoeuille & Roland Rathelot, 2011. "Measuring Segregation on Small Units : A Partial Identification Analysis," Working Papers 2011-18, Center for Research in Economics and Statistics.
    2. Jonas Hjort, 2013. "Ethnic Divisions and Production in Firms," CESifo Working Paper Series 4449, CESifo.
    3. Bryan S. Graham & Geert Ridder & Petra Thiemann & Gema Zamarro, 2020. "Teacher-to-classroom assignment and student achievement," CeMMAP working papers CWP36/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. de Castro, Luciano & Galvao, Antonio F. & Noussair, Charles N. & Qiao, Liang, 2022. "Do people maximize quantiles?," Games and Economic Behavior, Elsevier, vol. 132(C), pages 22-40.
    5. Kimbrough, Erik O. & McGee, Andrew & Shigeoka, Hitoshi, 2017. "How Do Peers Impact Learning? An Experimental Investigation of Peer-To-Peer Teaching and Ability Tracking," IZA Discussion Papers 10783, Institute of Labor Economics (IZA).
    6. Bennett, Magdalena & Bergman, Peter, 2018. "Better Together? Social Networks in Truancy and the Targeting of Treatment," IZA Discussion Papers 11267, Institute of Labor Economics (IZA).
    7. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020. "Inference on winners," CeMMAP working papers CWP43/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. 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.
    9. Tarun Jain & Nishtha Langer, 2019. "Does Whom You Know Matter? Unraveling The Influence Of Peers' Network Attributes On Academic Performance," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 141-161, January.
    10. Robert Garlick, 2018. "Academic Peer Effects with Different Group Assignment Policies: Residential Tracking versus Random Assignment," American Economic Journal: Applied Economics, American Economic Association, vol. 10(3), pages 345-369, July.
    11. 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.
    12. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    13. 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.
    14. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    15. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    16. Luciano De Castro & Antonio F. Galvao & Gabriel Montes Rojas & José Olmo, 2020. "Portfolio Selection in Quantile Decision Models," Working Papers 11, Red Nacional de Investigadores en Economía (RedNIE).
    17. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    18. 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.
    19. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2012. "Are University Admissions Academically Fair?," Economics Series Working Papers 608, University of Oxford, Department of Economics.
    20. 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.
    21. Brian Krauth, 2020. "Peers as treatments," Discussion Papers dp20-08, Department of Economics, Simon Fraser University.
    22. de Castro, Luciano & Galvao, Antonio F. & Muchon, Andre, 2023. "Numerical Solution of Dynamic Quantile Models," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
    23. de Castro, Luciano I. & Galvao, Antonio F. & Nunes, Daniel da Siva, 0. "Dynamic economics with quantile preferences," Theoretical Economics, Econometric Society.
    24. Luciano Castro & Antonio F. Galvao, 2022. "Static and dynamic quantile preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(2), pages 747-779, April.

  12. Bhattacharya, Debopam, 2008. "A Permutation-Based Estimator For Monotone Index Models," Econometric Theory, Cambridge University Press, vol. 24(3), pages 795-807, June.

    Cited by:

    1. Bhattacharya, D., 2018. "The Empirical Content of Binary Choice Models," Cambridge Working Papers in Economics 1883, Faculty of Economics, University of Cambridge.
    2. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2024. "Demand and Welfare Analysis in Discrete Choice Models with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 748-784.
    3. Bhattacharya, D. & Dupas, P. & Kanaya, S., 2018. "Demand and Welfare Analysis in Discrete Choice Models under Social Interactions," Cambridge Working Papers in Economics 1885, Faculty of Economics, University of Cambridge.
    4. Bo E. Honoré & Luojia Hu, 2018. "Simpler bootstrap estimation of the asymptotic variance of U‐statistic‐based estimators," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-10, February.

  13. 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. Marcel Das & Vera Toepoel & Arthur van Soest, 2011. "Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys," Sociological Methods & Research, , vol. 40(1), pages 32-56, February.
    2. 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.
    3. Yamana Kazufumi, 2020. "Monte Carlo Evidence on the Estimation Method for Industry Dynamics," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-12, January.
    4. 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.
    5. 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.
    6. Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
    7. Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
    8. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    9. Kim, Seik & Varanasi, Nalina, 2019. "Labor supply of married foreign-born women in credit-constrained households," Economic Modelling, Elsevier, vol. 81(C), pages 411-421.
    10. 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.
    11. Christophe Bell'ego & David Benatia & Vincent Dortet-Bernardet, 2023. "The Chained Difference-in-Differences," Papers 2301.01085, arXiv.org, revised May 2024.
    12. 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.
    13. Laurent Davezies & Xavier d'Haultfoeuille, 2013. "Endogenous Attrition in Panels," Working Papers 2013-17, Center for Research in Economics and Statistics.
    14. 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.
    15. Olanrewaju Akande & Gabriel Madson & D. Sunshine Hillygus & Jerome P. Reiter, 2021. "Leveraging auxiliary information on marginal distributions in nonignorable models for item and unit nonresponse," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 643-662, April.
    16. 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.
    17. Seik Kim, "undated". "Sample Attrition in the Presence of Population Attrition," Working Papers UWEC-2009-02, University of Washington, Department of Economics.

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

    Cited by:

    1. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    2. Berger Yves G. & Balay İklim Gedik, 2020. "Confidence Intervals of Gini Coefficient Under Unequal Probability Sampling," Journal of Official Statistics, Sciendo, vol. 36(2), pages 237-249, June.
    3. Wang, Zheng-Xin & Jv, Yue-Qi, 2023. "Revisiting income inequality among households: New evidence from the Chinese Household Income Project," China Economic Review, Elsevier, vol. 81(C).
    4. 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).
    5. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers CWP09/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. 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.
    7. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf, 2019. "Permutation Tests for Comparing Inequality Measures," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 457-470, July.
    8. Kanaya, S. & Bhattacharya, D., 2017. "Uniform Convergence of Smoothed Distribution Functions with an Application to Delta Method for the Lorenz Curve," Cambridge Working Papers in Economics 1760, Faculty of Economics, University of Cambridge.
    9. Ming Gao & Fan Jiang & Jiwen Wang & Bi Wu, 2024. "Population ageing and income inequality in rural China: an 18-year analysis," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    10. 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.
    11. Karoly, Lynn & Schröder, Carsten, 2013. "Fast methods for jackknifing inequality indices," Economics Working Papers 2013-04, Christian-Albrechts-University of Kiel, Department of Economics.
    12. Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.
    13. Brantly Callaway & Weige Huang, 2020. "Distributional Effects of a Continuous Treatment with an Application on Intergenerational Mobility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 808-842, August.
    14. Davidson, Russell, 2009. "Reliable inference for the Gini index," Journal of Econometrics, Elsevier, vol. 150(1), pages 30-40, May.
    15. Bhargab Chattopadhyay & Shyamal Krishna De, 2016. "Estimation of Gini Index within Pre-Specified Error Bound," Econometrics, MDPI, vol. 4(3), pages 1-12, June.
    16. ANDREOLI Francesco & PELUSO Eugenio, 2017. "So close yet so unequal: Spatial inequality in American cities," LISER Working Paper Series 2017-11, Luxembourg Institute of Socio-Economic Research (LISER).
    17. Francis Bilson Darku & Frank Konietschke & Bhargab Chattopadhyay, 2020. "Gini Index Estimation within Pre-Specified Error Bound: Application to Indian Household Survey Data," Econometrics, MDPI, vol. 8(2), pages 1-20, June.
    18. 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.
    19. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    20. 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.
    21. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
    22. Christopher J. Bennett & Shabana Mitra, 2013. "Multidimensional Poverty: Measurement, Estimation, and Inference," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 57-83, January.
    23. Judith A. Clarke & Nilanjana Roy, 2010. "On Statistical Inference for Inequality Measures Calculated from Complex Survey Data," Econometrics Working Papers 1002, Department of Economics, University of Victoria.
    24. Christopher J. Bennett, 2013. "Inference For Dominance Relations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1309-1328, November.
    25. Russell Davidson, 2010. "Innis Lecture: Inference on income distributions," Canadian Journal of Economics, Canadian Economics Association, vol. 43(4), pages 1122-1148, November.
    26. Firpo, Sergio, 2010. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," IZA Discussion Papers 4841, Institute of Labor Economics (IZA).
    27. 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.
    28. Jiun-Hua Su, 2019. "Counterfactual Inference in Duration Models with Random Censoring," Papers 1902.08502, arXiv.org.
    29. Zhao, Puying & Haziza, David & Wu, Changbao, 2020. "Survey weighted estimating equation inference with nuisance functionals," Journal of Econometrics, Elsevier, vol. 216(2), pages 516-536.
    30. Pier Luigi Conti & Alberto Iorio & Alessio Guandalini & Daniela Marella & Paola Vicard & Vincenzina Vitale, 2020. "On the estimation of the Lorenz curve under complex sampling designs," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 1-24, March.
    31. Rami V. Tabri & Mathew J. Elias, 2024. "Testing for Restricted Stochastic Dominance under Survey Nonresponse with Panel Data: Theory and an Evaluation of Poverty in Australia," Papers 2406.15702, arXiv.org.
    32. 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.
    33. 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.

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

    Cited by:

    1. Jonah B. Gelbach & Doug Miller, 2009. "Robust Inference with Multi-way Clustering," Working Papers 226, University of California, Davis, Department of Economics.
    2. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 316, University of California, Davis, Department of Economics.
    3. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," Papers 2108.04852, arXiv.org, revised Aug 2024.
    4. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf, 2019. "Permutation Tests for Comparing Inequality Measures," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 457-470, July.
    5. 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.
    6. Bhargab Chattopadhyay & Shyamal Krishna De, 2016. "Estimation of Gini Index within Pre-Specified Error Bound," Econometrics, MDPI, vol. 4(3), pages 1-12, June.
    7. 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.
    8. Francis Bilson Darku & Frank Konietschke & Bhargab Chattopadhyay, 2020. "Gini Index Estimation within Pre-Specified Error Bound: Application to Indian Household Survey Data," Econometrics, MDPI, vol. 8(2), pages 1-20, June.
    9. 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.
    10. 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.
    11. Judith A. Clarke & Nilanjana Roy, 2010. "On Statistical Inference for Inequality Measures Calculated from Complex Survey Data," Econometrics Working Papers 1002, 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. Alessandro Tarozzi, 2004. "Calculating Comparable Statistics from Incomparable Surveys, with an Application to Poverty in India," Econometric Society 2004 North American Winter Meetings 280, Econometric Society.
    14. Otávio Bartalotti & Quentin Brummet, 2015. "Estimation and Inference in Regression Discontinuity Designs with Clustered Sampling," CARRA Working Papers 2015-06, Center for Economic Studies, U.S. Census Bureau.
    15. 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.
    16. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," STICERD - Econometrics Paper Series 617, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    17. 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.
    18. Champonnois, Victor & Chanel, Olivier & Makhloufi, Khaled, 2018. "Reducing the anchoring bias in multiple question CV surveys," Journal of choice modelling, Elsevier, vol. 28(C), pages 1-9.
    19. Garry F. Barrett & Stephen G. Donald & Yu-Chin Hsu, 2015. "Consistent Tests for Poverty Dominance Relations," IEAS Working Paper : academic research 15-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    20. Zhao, Puying & Haziza, David & Wu, Changbao, 2020. "Survey weighted estimating equation inference with nuisance functionals," Journal of Econometrics, Elsevier, vol. 216(2), pages 516-536.
    21. Pier Luigi Conti & Alberto Iorio & Alessio Guandalini & Daniela Marella & Paola Vicard & Vincenzina Vitale, 2020. "On the estimation of the Lorenz curve under complex sampling designs," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 1-24, March.
    22. 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.
    23. Rami V. Tabri & Mathew J. Elias, 2024. "Testing for Restricted Stochastic Dominance under Survey Nonresponse with Panel Data: Theory and an Evaluation of Poverty in Australia," Papers 2406.15702, arXiv.org.
    24. Paulo M.D.C. Parente & Joao M.C. Santos Silva, 2013. "Quantile regression with clustered data," Discussion Papers 1305, University of Exeter, Department of Economics.
    25. 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.

  16. 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," RFF Working Paper Series 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.
    3. Olena Nizalova, 2012. "The Wage Elasticity of Informal Care Supply: Evidence from the Health and Retirement Study," Southern Economic Journal, John Wiley & Sons, vol. 79(2), pages 350-366, October.
    4. Lichun Wang, 2018. "On Seemingly Unrelated Regressions with Linear Restrictions," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 6(4), pages 110-113, April.

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