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Jason Abrevaya

Citations

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

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Jason Abrevaya, 2009. "Are There Missing Girls in the United States? Evidence from Birth Data," American Economic Journal: Applied Economics, American Economic Association, vol. 1(2), pages 1-34, April.

    Mentioned in:

    1. Are There Missing Girls in the United States? Evidence from Birth Data (American Economic Journal: Applied Economics 2009) in ReplicationWiki ()
  2. Jason Abrevaya, 2006. "Estimating the effect of smoking on birth outcomes using a matched panel data approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 489-519.

    Mentioned in:

    1. Estimating the effect of smoking on birth outcomes using a matched panel data approach (Journal of Applied Econometrics 2006) in ReplicationWiki ()
  3. Jason Abrevaya & Laura Puzzello, 2012. "Taxes, Cigarette Consumption, and Smoking Intensity: Comment," American Economic Review, American Economic Association, vol. 102(4), pages 1751-1763, June.

    Mentioned in:

    1. Taxes, Cigarette Consumption, and Smoking Intensity: Comment (AER 2012) in ReplicationWiki ()

Working papers

  1. Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012. "Estimating Conditional Average Treatment Effects," CEU Working Papers 2012_16, Department of Economics, Central European University, revised 20 Jul 2012.

    Cited by:

    1. Barbera, Alessandro & Gereben, Aron & Wolski, Marcin, 2022. "Estimating conditional treatment effects of EIB lending to SMEs in Europe," EIB Working Papers 2022/03, European Investment Bank (EIB).
    2. Sokbae Lee & Ryo Okui & Yoon†Jae Whang, 2017. "Doubly robust uniform confidence band for the conditional average treatment effect function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1207-1225, November.
    3. Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
    4. Sakos, Grayson & Cerulli, Giovanni & Garbero, Alessandra, 2021. "Beyond the ATE: Idiosyncratic Effect Estimation to Uncover Distributional Impacts Results from 17 Impact Evaluations," 2021 Annual Meeting, August 1-3, Austin, Texas 314017, Agricultural and Applied Economics Association.
    5. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2021. "Estimating Partially Conditional Quantile Treatment Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202103, University of Kansas, Department of Economics, revised Jan 2021.
    6. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    7. Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2022. "Estimation of Conditional Average Treatment Effects With High-Dimensional Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 313-327, January.
    8. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    9. Victor Chernozhukov & Whitney K. Newey & Rahul Singh, 2021. "A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees," Papers 2105.15197, arXiv.org, revised Oct 2022.
    10. Seungyeon Cho, 2022. "The Effect of Participation in the Supplemental Nutrition Assistance Program on Food Insecurity of Children in U.S. Immigrant Households," Journal of Family and Economic Issues, Springer, vol. 43(3), pages 501-510, September.
    11. Feng, Sanying & Kong, Kaidi & Kong, Yinfei & Li, Gaorong & Wang, Zhaoliang, 2022. "Statistical inference of heterogeneous treatment effect based on single-index model," Computational Statistics & Data Analysis, Elsevier, vol. 175(C).
    12. Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
    13. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    14. Robson, M.; & Doran, T.; & Cookson, R.;, 2019. "Estimating and Decomposing Conditional Average Treatment Effects: The Smoking Ban in England," Health, Econometrics and Data Group (HEDG) Working Papers 19/20, HEDG, c/o Department of Economics, University of York.
    15. Yixiao Jiang, 2021. "Semiparametric Estimation of a Corporate Bond Rating Model," Econometrics, MDPI, vol. 9(2), pages 1-20, May.
    16. Shengfang Tang & Zongwu Cai & Ying Fang & Ming Lin, 2020. "A New Quantile Treatment Effect Model for Studying Smoking Effect on Birth Weight During Mother's Pregnancy," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202003, University of Kansas, Department of Economics, revised Feb 2020.
    17. Pengzhou Wu & Kenji Fukumizu, 2021. "$\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap," Papers 2110.05225, arXiv.org.
    18. Wichman, Casey J., 2015. "Information Provision and Consumer Behavior: A Natural Experiment in Billing Frequency," RFF Working Paper Series dp-15-35, Resources for the Future.
    19. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
    20. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    21. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    22. Sebastian Calonico & Rafael Di Tella & Juan Cruz Lopez Del Valle, 2022. "Causal Inference During a Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina," NBER Working Papers 30084, National Bureau of Economic Research, Inc.
    23. Zimmert, Franziska & Zimmert, Michael, 2020. "Paid parental leave and maternal reemployment: Do part-time subsidies help or harm?," Economics Working Paper Series 2002, University of St. Gallen, School of Economics and Political Science.
    24. Niwen Zhou & Xu Guo & Lixing Zhu, 2022. "The role of propensity score structure in asymptotic efficiency of estimated conditional quantile treatment effect," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 718-743, June.
    25. Zhou, Niwen & Guo, Xu & Zhu, Lixing, 2024. "Significance test for semiparametric conditional average treatment effects and other structural functions," Computational Statistics & Data Analysis, Elsevier, vol. 189(C).
    26. Daniel Kaliski, 2023. "Identifying the impact of health insurance on subgroups with changing rates of diagnosis," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2098-2112, September.
    27. Arthur Charpentier & Emmanuel Flachaire & Ewen Gallic, 2023. "Optimal Transport for Counterfactual Estimation: A Method for Causal Inference," Papers 2301.07755, arXiv.org.
    28. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Apr 2024.
    29. Masahiro Kato, 2024. "Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects," Papers 2403.03240, arXiv.org.
    30. Sungwon Lee, 2021. "Partial Identification and Inference for Conditional Distributions of Treatment Effects," Papers 2108.00723, arXiv.org, revised Nov 2023.
    31. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    32. Huang, W. & Linton, O. & Zhang, Z., 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Cambridge Working Papers in Economics 2113, Faculty of Economics, University of Cambridge.
    33. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    34. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2021. "A Nonparametric Test for Testing Heterogeneity in Conditional Quantile Treatment Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202117, University of Kansas, Department of Economics, revised Aug 2021.
    35. Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences with Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Apr 2024.
    36. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
    37. ASAKAWA Shinsuke & OHTAKE Fumio, 2022. "Impact of COVID-19 School Closures on the Cognitive and Non-cognitive Skills of Elementary School Students," Discussion papers 22075, Research Institute of Economy, Trade and Industry (RIETI).
    38. Heejun Shin & Joseph Antonelli, 2023. "Improved inference for doubly robust estimators of heterogeneous treatment effects," Biometrics, The International Biometric Society, vol. 79(4), pages 3140-3152, December.
    39. Isaac Meza & Rahul Singh, 2021. "Nested Nonparametric Instrumental Variable Regression: Long Term, Mediated, and Time Varying Treatment Effects," Papers 2112.14249, arXiv.org, revised Mar 2024.
    40. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
    41. Lu Li & Niwen Zhou & Lixing Zhu, 2022. "Outcome regression-based estimation of conditional average treatment effect," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(5), pages 987-1041, October.
    42. Sungwon Lee, 2024. "Partial identification and inference for conditional distributions of treatment effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 107-127, January.

  2. Hamermesh, Daniel S. & Abrevaya, Jason, 2011. ""Beauty Is the Promise of Happiness"?," IZA Discussion Papers 5600, Institute of Labor Economics (IZA).

    Cited by:

    1. Eiji Yamamura & Ryohei Hayashi & Yoshiro Tsutsui & Fumio Ohtake, 2018. "Racers f attractive looks, popularity, and performance: How do speedboat racers react to fans f expectations?," Discussion Papers in Economics and Business 18-28, Osaka University, Graduate School of Economics.
    2. Zhang, Junsen & Fei, Shulan & Wen, Yanbing, 2023. "How Does the Beauty of Wives Affect Post-marriage Family Outcomes? Helen's Face in Chinese Households," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 122-137.
    3. Jacek Rothert & Douglas VanDerwerken & Ethan White, 2020. "Socioeconomic factors and happiness: evidence from self-reported mental health data," Empirical Economics, Springer, vol. 58(6), pages 3101-3123, June.
    4. Daniel S. Hamermesh & Rachel A. Gordon & Robert Crosnoe, 2019. "O Youth and Beauty: Children’s Looks and Children’s Cognitive Development," NBER Working Papers 26412, National Bureau of Economic Research, Inc.
    5. van de Gevel, A.J.W. & Noussair, C.N., 2012. "The Nexus between Artificial Intelligence and Economics," Discussion Paper 2012-087, Tilburg University, Center for Economic Research.
    6. Fazio, Andrea, 2022. "Attractiveness and preferences for redistribution," Economics & Human Biology, Elsevier, vol. 46(C).
    7. Deng, Weiguang & Li, Dayang & Zhou, Dong, 2019. "Beauty and Job Accessibility: New Evidence from a Field Experiment," GLO Discussion Paper Series 369, Global Labor Organization (GLO).
    8. Berggren, Niclas & Jordahl, Henrik & Poutvaara, Panu, 2017. "The right look: Conservative politicians look better and voters reward it," Munich Reprints in Economics 55048, University of Munich, Department of Economics.
    9. Sonia Oreffice & Climent Quintana-Domeque, 2015. "The Role of Body Size in Economic Research Above and Beyond Beauty," CHILD Working Papers Series 35, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    10. Green, Colin P. & Wilson, Luke B. & Zhang, Anwen, 2023. "Beauty, Underage Drinking, and Adolescent Risky Behaviours," GLO Discussion Paper Series 1270, Global Labor Organization (GLO).
    11. Zhang, Junsen & Fei, Shulan & Wen, Yanbing, 2023. "How Does the Beauty of Wives Affect Post-Marriage Family Outcomes? Helen's Face in Chinese Households," IZA Discussion Papers 16157, Institute of Labor Economics (IZA).
    12. Cheng, Hua & Li, Xue & Dong, Yan & Qi, Shusen, 2020. "Competition and favoritism in bank loan markets," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    13. Dilmaghani, Maryam, 2020. "Beauty perks: Physical appearance, earnings, and fringe benefits," Economics & Human Biology, Elsevier, vol. 38(C).
    14. Gan, Hongwu & Lu, Shengfeng & Lu, Weijie & Niu, Geng & Zhou, Yang, 2023. "Beauty and stock market participation," Journal of Banking & Finance, Elsevier, vol. 155(C).
    15. Resul Cesur & Naci Mocan, 2014. "Does Secular Education Impact Religiosity, Electoral Participation and the Propensity to Vote for Islamic Parties? Evidence from an Education Reform in a Muslim Country," Koç University-TUSIAD Economic Research Forum Working Papers 1422, Koc University-TUSIAD Economic Research Forum.
    16. Markus Gehrsitz, 2014. "Looks and Labor: Do Attractive People Work More?," LABOUR, CEIS, vol. 28(3), pages 269-287, September.
    17. Hani Mansour & Terra McKinnish, 2011. "Who Marries Differently-Aged Spouses?: Earnings, Ability and Appearance," Discussion Papers of DIW Berlin 1123, DIW Berlin, German Institute for Economic Research.
    18. Daniel S. Hamermesh & Daiji Kawaguchi & Jungmin Lee, 2014. "Does Labor Legislation Benefit Workers? Well-Being after an Hours Reduction," NBER Working Papers 20398, National Bureau of Economic Research, Inc.
    19. Mageli, Ingvild & Mannberg, Andrea & Heen, Eirik Eriksen, 2022. "With whom, and about what, do we compete for social status? Effects of social closeness and relevance of reference groups for positional concerns," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    20. Sonia Oreffice & Climent Quintana-Domeque, 2014. "Attractiveness, Anthropometry or Both? Their Relationship and Role in Economic Research," Working Papers 2014.106, Fondazione Eni Enrico Mattei.
    21. Zuzana Brokesova & Andrej Cupak & Anthony Lepinteur & Marian Rizov, 2021. "Wealth, Assets and Life Satisfaction: A Metadata Instrumental-Variable Approach," Working and Discussion Papers WP 4/2021, Research Department, National Bank of Slovakia.
    22. Mads Meier Jæger, 2019. "Hello Beautiful? The Effect of Interviewer Physical Attractiveness on Cooperation Rates and Survey Responses," Sociological Methods & Research, , vol. 48(1), pages 156-184, February.
    23. Oreffice, Sonia & Quintana-Domeque, Climent, 2016. "Beauty, body size and wages: Evidence from a unique data set," Economics & Human Biology, Elsevier, vol. 22(C), pages 24-34.
    24. Guo, Yuanyuan & Zhang, Kexin & Wang, Chaoyou, 2022. "Way to success: Understanding top streamer's popularity and influence from the perspective of source characteristics," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    25. Andrea Fazio, 2021. "Beautiful inequality: Are beautiful people more willing to redistribute?," Working Papers in Public Economics 194, University of Rome La Sapienza, Department of Economics and Law.
    26. Mavisakalyan, Astghik, 2018. "Do employers reward physical attractiveness in transition countries?," Economics & Human Biology, Elsevier, vol. 28(C), pages 38-52.
    27. Joon-Ho Seon & Sun-Ok Jung & Kyu-Hye Lee, 2021. "Building a Runway to Subjective Happiness: The Role of Fashion Modeling Classes in Promoting Seniors’ Mental Well-Being," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    28. Franklin G. Mixon & Steven B. Caudill, 2013. "Campus competition and co-ed allure: An institution-level analysis of collegiate dating markets," Economics Bulletin, AccessEcon, vol. 33(1), pages 442-453.
    29. Olivier Gergaud & Victor Ginsburgh & florine Livat, 2016. "Looking Good and Looking Smart," Working Papers ECARES ECARES 2016-28, ULB -- Universite Libre de Bruxelles.
    30. Astghik Mavisakalyan, 2016. "Looks matter: Attractiveness and employment in the former soviet union," Bankwest Curtin Economics Centre Working Paper series WP1604, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    31. Peng, Langchuan & Wang, Xi & Ying, Shanshan, 2020. "The heterogeneity of beauty premium in China: Evidence from CFPS," Economic Modelling, Elsevier, vol. 90(C), pages 386-396.
    32. Héctor Bellido & J. Ignacio Giménez-Nadal & José Alberto Molina, 2023. "Body mass index and the distribution of housework among British couples," Review of Economics of the Household, Springer, vol. 21(4), pages 1247-1268, December.

  3. Abrevaya, Jason & Hamermesh, Daniel S., 2010. "Charity and Favoritism in the Field: Are Female Economists Nicer (To Each Other)?," IZA Discussion Papers 4921, Institute of Labor Economics (IZA).

    Cited by:

    1. David Card & Stefano DellaVigna & Patricia Funk & Nagore Iriberri, 2020. "Are Referees and Editors in Economics Gender Neutral?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 269-327.
    2. Bagues, Manuel & Sylos-Labini, Mauro & Zinovyeva, Natalia, 2015. "Does the Gender Composition of Scientific Committees Matter?," IZA Discussion Papers 9199, Institute of Labor Economics (IZA).
    3. Hammermann, Andrea & Mohnen, Alwine & Nieken, Petra, 2012. "Whom to Choose as a Team Mate? A Lab Experiment about In-Group Favouritism," IZA Discussion Papers 6286, Institute of Labor Economics (IZA).
    4. Quoc-Anh Do & Kieu-Trang Nguyen & Anh Tran, 2013. "One Mandarin Benefits the Whole Clan: Hometown Favoritism in an Authoritarian Regime," Sciences Po publications info:hdl:2441/2ck6as9uec9, Sciences Po.
    5. Zussman, Asaf, 2021. "Scapegoating in evaluation decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 152-163.
    6. Fabiana Rocha, Paula Pereda, & Liz Matsunaga & Maria Dolores Montoya Diaz & Renata Narita, & Bruna Borges, 2021. "Gender differences in the academic career of economics in Brazil," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 40(84), pages 815-892, October.
    7. D. Checchi & S. Cicognani & N. Kulic, 2015. "Gender quotas or girls networks? Towards an understanding of recruitment in the research profession in Italy," Working Papers wp1047, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Hospido, Laura & Sanz, Carlos, 2019. "Gender Gaps in the Evaluation of Research: Evidence from Submissions to Economics Conferences," IZA Discussion Papers 12494, Institute of Labor Economics (IZA).
    9. Giacomo De Giorgi & Marco Paccagnella & Michele Pellizzari, 2013. "Gender complementarities in the labor market," Questioni di Economia e Finanza (Occasional Papers) 183, Bank of Italy, Economic Research and International Relations Area.
    10. Pierre Deschamps, 2018. "Gender Quotas in Hiring Committees: a Boon or a Bane for Women?," Working Papers hal-03393117, HAL.
    11. Feld, J.F. & Salamanca Acosta, N. & Hamermesh, D., 2013. "Endophilia or exophobia: beyond discrimination," Research Memorandum 026, Maastricht University, Graduate School of Business and Economics (GSBE).
    12. Koffi, Marlene, 2021. "Innovative ideas and gender inequality," CLEF Working Paper Series 35, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    13. Olivier Bargain & Maria Lo Bue, 2022. "The Economic Gains of closing the Employment Gender Gap: Evidence from Morocco," Working Papers hal-03891726, HAL.
    14. Zinovyeva, Natalia & Bagues, Manuel, 2011. "Does Gender Matter for Academic Promotion? Evidence from a Randomized Natural Experiment," IZA Discussion Papers 5537, Institute of Labor Economics (IZA).
    15. Hengel, E., 2017. "Publishing while Female. Are women held to higher standards? Evidence from peer review," Cambridge Working Papers in Economics 1753, Faculty of Economics, University of Cambridge.
    16. Suzanne Heller Clain & Karen Leppel, 2018. "Patterns in Economics Journal Acceptances and Rejections," The American Economist, Sage Publications, vol. 63(1), pages 94-109, March.
    17. Dempsey, Judith A. & Plantinga, Andrew J., 2013. "How well do urban growth boundaries contain development? Results for Oregon using a difference-in-difference estimator," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 996-1007.
    18. Marianne Bertrand & Esther Duflo, 2016. "Field Experiments on Discrimination," NBER Working Papers 22014, National Bureau of Economic Research, Inc.
    19. Mengel, Friederike & Sauermann, Jan & Zölitz, Ulf, 2017. "Gender Bias in Teaching Evaluations," Working Paper Series 6/2017, Stockholm University, Swedish Institute for Social Research.
    20. Verónica Amarante & Marisa Bucheli & Inés Moraes & Tatiana Pérez, 2021. "Women in Research in Economics in Uruguay," Documentos de Trabajo (working papers) 0221, Department of Economics - dECON.
    21. Leah Boustan & Andrew Langan, 2019. "Variation in Women's Success across PhD Programs in Economics," Journal of Economic Perspectives, American Economic Association, vol. 33(1), pages 23-42, Winter.
    22. Paula Pereda & Liz Matsunaga & Maria Dolores Montoya Diaz & Bruna Pugialli Borges & Jesus Mena-Chalco & Fabiana Rocha & Renata Narita & Clara Brenck, 2020. "Are women less persistent? Evidence from submissions to a nationwide meeting of Economics," Working Papers, Department of Economics 2020_19, University of São Paulo (FEA-USP).
    23. Daniel S. Hamermesh, 2015. "Age, Cohort and Co-Authorship," NBER Working Papers 20938, National Bureau of Economic Research, Inc.
    24. Bransch, Felix & Kvasnicka, Michael, 2022. "Male Gatekeepers: Gender Bias in the Publishing Process?," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 714-732.
    25. Laura Hospido & Carlos Sanz, 2019. "Gender gaps in the evaluation of research: evidence from submissions to economics conferences (Updated March 2020)," Working Papers 1918, Banco de España, revised Mar 2020.
    26. Jenny Bourne & Nathan Grawe & Nathan D. Grawe & Michael Hemesath & Maya Jensen, 2022. "Scholarly Activity among Economists at Liberal Arts Colleges: A Life Cycle Analysis," Working Papers 2022-01, Carleton College, Department of Economics.
    27. Pritchard, Annette & Morgan, Nigel, 2017. "Tourism’s lost leaders: Analysing gender and performance," Annals of Tourism Research, Elsevier, vol. 63(C), pages 34-47.
    28. Juho Jokinen & Jaakko Pehkonen, 2017. "Promotions and Earnings – Gender or Merit? Evidence from Longitudinal Personnel Data," Journal of Labor Research, Springer, vol. 38(3), pages 306-334, September.
    29. Manuel Bagues & Mauro Sylos-Labini & Natalia Zinovyeva, 2014. "Do gender quotas pass the test ? Evidence from academic evaluations in Italy," LEM Papers Series 2014/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

Articles

  1. Abrevaya, Jason & Xu, Haiqing, 2023. "Estimation of treatment effects under endogenous heteroskedasticity," Journal of Econometrics, Elsevier, vol. 234(2), pages 451-478.

    Cited by:

    1. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Feb 2023.

  2. Jason Abrevaya & Yu-Chin Hsu, 2021. "Partial effects in non-linear panel data models with correlated random effects," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 519-535.

    Cited by:

    1. Aguirregabiria, Victor & Carro, Jesus, 2021. "Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models," CEPR Discussion Papers 16354, C.E.P.R. Discussion Papers.
    2. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Dec 2023.
    3. Victor Aguirregabiria, 2023. "Dynamic demand for differentiated products with fixed-effects unobserved heterogeneity," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 1-25.
    4. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.

  3. Jason Abrevaya & Chris Muris, 2020. "Interval censored regression with fixed effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 198-216, March.

    Cited by:

    1. Bo E. Honor'e & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Papers 2005.05942, arXiv.org, revised Dec 2023.
    2. Felix Chan & Laszlo Matyas & Agoston Reguly, 2024. "Modelling with Discretized Variables," Papers 2403.15220, arXiv.org.
    3. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.
    5. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.

  4. Abrevaya, Jason, 2019. "Missing dependent variables in fixed-effects models," Journal of Econometrics, Elsevier, vol. 211(1), pages 151-165.

    Cited by:

    1. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.

  5. Jason Abrevaya & Stephen G. Donald, 2017. "A GMM Approach for Dealing with Missing Data on Regressors," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 657-662, July.

    Cited by:

    1. Richard M. Golden & Steven S. Henley & Halbert White & T. Michael Kashner, 2019. "Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data," Econometrics, MDPI, vol. 7(3), pages 1-27, September.
    2. Minji Bang & Wayne Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," NBER Working Papers 28436, National Bureau of Economic Research, Inc.
    3. Figueiredo, Erik & Lima, Luiz Renato & Orefice, Gianluca, 2020. "Migration, trade and spillover effects," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 405-421.
    4. Abrevaya, Jason, 2019. "Missing dependent variables in fixed-effects models," Journal of Econometrics, Elsevier, vol. 211(1), pages 151-165.
    5. Beckmeyer, Heiner & Wiedemann, Timo, 2022. "Recovering Missing Firm Characteristics with Attention-Based Machine Learning," VfS Annual Conference 2022 (Basel): Big Data in Economics 264135, Verein für Socialpolitik / German Economic Association.
    6. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.

  6. Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015. "Estimating Conditional Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
    See citations under working paper version above.
  7. Abrevaya Jason & McCulloch Robert, 2014. "Reversal of fortune: a statistical analysis of penalty calls in the National Hockey League," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 1-18, June.

    Cited by:

    1. Gregory DeAngelo & Adam Nowak & Imke Reimers, 2018. "Examining Regulatory Capture: Evidence From The Nhl," Contemporary Economic Policy, Western Economic Association International, vol. 36(1), pages 183-191, January.
    2. Buttrey Samuel E., 2016. "Beating the market betting on NHL hockey games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(2), pages 87-98, June.
    3. Michael J. Lopez, 2016. "Persuaded Under Pressure: Evidence From The National Football League," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1763-1773, October.
    4. Snyder Kevin & Lopez Michael, 2015. "Consistency, accuracy, and fairness: a study of discretionary penalties in the NFL," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(4), pages 219-230, December.

  8. Jason Abrevaya & Shu Shen, 2014. "Estimation Of Censored Panel‐Data Models With Slope Heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 523-548, June.

    Cited by:

    1. Muhammad Basir Paly, 2019. "Calving Interval of Productive PC to Increase Cattle Population Growth: A Case Study At South Sulawesi, Indonesia," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(5), pages 1325-1333.
    2. Ketz, Philipp, 2018. "Subvector inference when the true parameter vector may be near or at the boundary," Journal of Econometrics, Elsevier, vol. 207(2), pages 285-306.
    3. Welsch, David M. & Zimmer, David M., 2016. "The dynamic relationship between school size and academic performance: An investigation of elementary schools in Wisconsin," Research in Economics, Elsevier, vol. 70(1), pages 158-169.
    4. Diana Ayala & Milan Nedeljkovic & Christian Saborowski, 2017. "What Slice of the Pie? The Corporate Bond Market Boom in Emerging Economies," CESifo Working Paper Series 6376, CESifo.
    5. Ayala, Diana & Nedeljkovic, Milan & Saborowski, Christian, 2016. "What slice of the pie? The corporate bond market boom in emerging economies," BOFIT Discussion Papers 8/2016, Bank of Finland Institute for Emerging Economies (BOFIT).
    6. Daniel Buncic, 2019. "Identification and Estimation Issues in Exponential Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(3), pages 667-685, June.
    7. Jiahang He & Toshiyuki Yamamoto & Tomio Miwa & Takayuki Morikawa, 2020. "Hazard Duration Model with Panel Data for Daily Car Travel Distance: A Toyota City Case Study," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    8. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.
    9. Wang, Wuyi & Su, Liangjun, 2017. "Identifying Latent Group Structures in Nonlinear Panels," Economics and Statistics Working Papers 19-2017, Singapore Management University, School of Economics.

  9. Hamermesh, Daniel S. & Abrevaya, Jason, 2013. "Beauty is the promise of happiness?," European Economic Review, Elsevier, vol. 64(C), pages 351-368.
    See citations under working paper version above.
  10. Jason Abrevaya, 2013. "The projection approach for unbalanced panel data," Econometrics Journal, Royal Economic Society, vol. 16(2), pages 161-178, June.

    Cited by:

    1. Juodis, Arturas & Sarafidis, Vasilis, 2014. "Fixed T Dynamic Panel Data Estimators with Multi-Factor Errors," MPRA Paper 57659, University Library of Munich, Germany.
    2. Yimin Yang & Fei Jia & Haoran Li, 2023. "Estimation of Panel Data Models with Mixed Sampling Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 514-544, June.
    3. Do Won Kwak & Kam Ki Tang & Juyoung Cheong, 2017. "The projection approach for multi-way error components models with partially balanced panel data," Discussion Papers Series 583, School of Economics, University of Queensland, Australia.
    4. David Pacini & Frank Windmeijer, 2015. "Moment Conditions for AR(1) Panel Data Models with Missing Outcomes," Bristol Economics Discussion Papers 15/660, School of Economics, University of Bristol, UK.
    5. Abrevaya, Jason, 2019. "Missing dependent variables in fixed-effects models," Journal of Econometrics, Elsevier, vol. 211(1), pages 151-165.
    6. Kézdi, Gábor & Mátyás, László & Balázsi, László & Divényi, János Károly, 2014. "A közgazdasági adatforradalom és a panelökonometria [The revolution in economic data and panel econometrics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1319-1340.
    7. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.

  11. Jason Abrevaya & Daniel S. Hamermesh, 2012. "Charity and Favoritism in the Field: Are Female Economists Nicer (To Each Other)?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 202-207, February.
    See citations under working paper version above.
  12. Jason Abrevaya & Laura Puzzello, 2012. "Taxes, Cigarette Consumption, and Smoking Intensity: Comment," American Economic Review, American Economic Association, vol. 102(4), pages 1751-1763, June.

    Cited by:

    1. Jerome Adda & Francesca Cornaglia, 2011. "Taxes, Cigarette Consumption, and Smoking Intensity: Reply," Economics Working Papers ECO2011/32, European University Institute.
    2. Cetin, Tamer, 2017. "The effect of taxation and regulation on cigarette smoking: Fresh evidence from Turkey," Health Policy, Elsevier, vol. 121(12), pages 1288-1295.
    3. Erik Nesson, 2017. "The Impact of Tobacco Control Policies on Adolescent Smoking: Comparing Self-Reports and Biomarkers," American Journal of Health Economics, University of Chicago Press, vol. 3(4), pages 507-527, Fall.
    4. Mueller-Langer, Frank & Fecher, Benedikt & Harhoff, Dietmar & Wagner, Gert G., 2019. "Replication studies in economics—How many and which papers are chosen for replication, and why?," Research Policy, Elsevier, vol. 48(1), pages 62-83.
    5. Irvine Ian J. & Nguyen Van Hai, 2014. "Retail Tobacco Display Bans," Forum for Health Economics & Policy, De Gruyter, vol. 17(2), pages 1-27, September.
    6. Odermatt, Reto & Stutzer, Alois, 2014. "Smoking Bans, Cigarette Prices and Life Satisfaction," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100559, Verein für Socialpolitik / German Economic Association.
    7. Erik Nesson, 2012. "The Distributional Effects of Tobacco Control Policies On Adult Smoking Behavior," Working Papers 201207, Ball State University, Department of Economics, revised Jun 2012.
    8. Andrew I. Friedson & Daniel I. Rees, 2020. "Cigarette Taxes and Smoking in the Long Run," NBER Working Papers 27204, National Bureau of Economic Research, Inc.
    9. Chad Cotti & Erik Nesson & Nathan Tefft, 2016. "The Effects of Tobacco Control Policies on Tobacco Products, Tar, and Nicotine Purchases among Adults: Evidence from Household Panel Data," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 103-123, November.
    10. Ian Irvine, 2015. "Graphic Warning Labels on Cigarette Packaging in Canada: A Targeted Commentary on our Limited State of Knowledge," Working Papers 15002, Concordia University, Department of Economics.
    11. Hong Liu & John A. Rizzo & Qi Sun & Fang Wu, 2015. "How Do Smokers Respond to Cigarette Taxes? Evidence from China's Cigarette Industry," Health Economics, John Wiley & Sons, Ltd., vol. 24(10), pages 1314-1330, October.
    12. Esteban Petruzzello, 2019. "Measuring the Effect of Policy on the Demand for Menthol Cigarettes: Evidence from Household-Level Purchase Data," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(3), pages 422-445, June.
    13. Whytcross, David, 2024. "How tobacco excise increases affect smoking behaviours in Australia," Warwick-Monash Economics Student Papers 67, Warwick Monash Economics Student Papers.
    14. Erik Nesson, 2017. "Heterogeneity in Smokers' Responses to Tobacco Control Policies," Health Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 206-225, February.

  13. Jason Abrevaya & Youngki Shin, 2011. "Rank estimation of partially linear index models," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 409-437, October.

    Cited by:

    1. Youngki Shin & Zvezdomir Todorov, 2021. "Exact computation of maximum rank correlation estimator," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 589-607.
    2. Koen Jochmans, 2013. "Pairwise-comparison estimation with nonparametric controls," SciencePo Working papers Main hal-00973068, HAL.
    3. Christoph Breunig & Stephan Martin, 2020. "Nonclassical Measurement Error in the Outcome Variable," Papers 2009.12665, arXiv.org, revised May 2021.
    4. Fan, Yanqin & Han, Fang & Li, Wei & Zhou, Xiao-Hua, 2020. "On rank estimators in increasing dimensions," Journal of Econometrics, Elsevier, vol. 214(2), pages 379-412.
    5. Yanqin Fan & Fang Han & Wei Li & Xiao-Hua Zhou, 2019. "On rank estimators in increasing dimensions," Papers 1908.05255, arXiv.org.
    6. Chen, Songnian & Zhou, Yahong & Ji, Yuanyuan, 2018. "Nonparametric identification and estimation of sample selection models under symmetry," Journal of Econometrics, Elsevier, vol. 202(2), pages 148-160.

  14. Jason Abrevaya & Hongfei Tang, 2011. "Body mass index in families: spousal correlation, endogeneity, and intergenerational transmission," Empirical Economics, Springer, vol. 41(3), pages 841-864, December.

    Cited by:

    1. Yichen Gao & Yu Zhang & Ximing Wu, 2015. "Penalized exponential series estimation of copula densities with an application to intergenerational dependence of body mass index," Empirical Economics, Springer, vol. 48(1), pages 61-81, February.
    2. van Ours, Jan C. & Palali, Ali, 2015. "Love conquers all but nicotine; spousal peer effects on the decision to quit smoking," CEPR Discussion Papers 10860, C.E.P.R. Discussion Papers.
    3. Palali, Ali & van Ours, Jan, 2015. "Love Conquers All but Nicotine : Spousal Peer Effects on the Decision to Quit Smoking," Other publications TiSEM f6c6cf33-30b0-404c-ad76-7, Tilburg University, School of Economics and Management.
    4. Kuo Zhang & Jipeng Pei & Shu Wang & Karlis Rokpelnis & Xiao Yu, 2022. "Life Satisfaction in China, 2010–2018: Trends and Unique Determinants," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 2311-2348, August.
    5. Wen, Kuangyu & Wu, Ximing, 2017. "Smoothed kernel conditional density estimation," Economics Letters, Elsevier, vol. 152(C), pages 112-116.

  15. Abrevaya, Jason & Mulligan, Karen, 2011. "Effectiveness of state-level vaccination mandates: Evidence from the varicella vaccine," Journal of Health Economics, Elsevier, vol. 30(5), pages 966-976.

    Cited by:

    1. Chelsea J. Richwine & Avi Dor & Ali Moghtaderi, 2019. "Do Stricter Immunization Laws Improve Coverage? Evidence from the Repeal of Non-medical Exemptions for School Mandated Vaccines," NBER Working Papers 25847, National Bureau of Economic Research, Inc.
    2. Seth M. Freedman & Daniel W. Sacks & Kosali I. Simon & Coady Wing, 2022. "Direct and indirect effects of vaccines: Evidence from COVID-19," NBER Working Papers 30550, National Bureau of Economic Research, Inc.
    3. Barber, Andrew & West, Jeremy, 2022. "Conditional cash lotteries increase COVID-19 vaccination rates," Santa Cruz Department of Economics, Working Paper Series qt1062k4v8, Department of Economics, UC Santa Cruz.
    4. Jelnov, Artyom & Jelnov, Pavel, 2021. "Vaccination Policy and Trust," GLO Discussion Paper Series 1003, Global Labor Organization (GLO).
    5. Lenisa V. Chang, 2018. "Information, education, and health behaviors: Evidence from the MMR vaccine autism controversy," Health Economics, John Wiley & Sons, Ltd., vol. 27(7), pages 1043-1062, July.
    6. Lawler, Emily C., 2017. "Effectiveness of vaccination recommendations versus mandates: Evidence from the hepatitis A vaccine," Journal of Health Economics, Elsevier, vol. 52(C), pages 45-62.
    7. Dhaval M. Dave & Andrew I. Friedson & Drew McNichols & Joseph J. Sabia, 2020. "The Contagion Externality of a Superspreading Event: The Sturgis Motorcycle Rally and COVID-19," NBER Working Papers 27813, National Bureau of Economic Research, Inc.
    8. Lenisa V. Chang, 2016. "The Effect Of State Insurance Mandates On Infant Immunization Rates," Health Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 372-386, March.
    9. Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022. "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series 10184, CESifo.
    10. Riley K. Acton & Wenjia Cao & Emily E. Cook & Scott A. Imberman & Michael F. Lovenheim, 2022. "The Effect of Vaccine Mandates on Disease Spread: Evidence from College COVID-19 Mandates," NBER Working Papers 30303, National Bureau of Economic Research, Inc.
    11. Hair, Nicole L. & Gruber, Anja & Urban, Carly, 2021. "Personal belief exemptions for school-entry vaccinations, vaccination rates, and academic achievement," Journal of Health Economics, Elsevier, vol. 78(C).
    12. Dhaval Dave & Drew McNichols & Joseph J. Sabia, 2021. "The contagion externality of a superspreading event: The Sturgis Motorcycle Rally and COVID‐19," Southern Economic Journal, John Wiley & Sons, vol. 87(3), pages 769-807, January.
    13. Weiwei Chen & Mark Messonnier & Fangjun Zhou, 2018. "Factors associated with the pricing of childhood vaccines in the U.S. public sector," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 252-265, February.
    14. Andreas Kucher, 2019. "Vaccination recommendations and timeliness - The German measles case," Discussion Paper Series 336, Universitaet Augsburg, Institute for Economics.
    15. Churchill, Brandyn F., 2021. "How important is the structure of school vaccine requirement opt-out provisions? Evidence from Washington, DC's HPV vaccine requirement," Journal of Health Economics, Elsevier, vol. 78(C).
    16. Andreas Steinmayr & Manuel Rossi, 2022. "Vaccine-skeptic physicians and COVID-19 vaccination rates," Working Papers 2022-16, Faculty of Economics and Statistics, Universität Innsbruck.
    17. Hirani, Jonas Cuzulan & Wüst, Miriam, 2022. "Nurses and infant vaccination coverage," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 402-428.
    18. Christopher S. Carpenter & Emily C. Lawler, 2017. "Direct and Spillover Effects of Middle School Vaccination Requirements," NBER Working Papers 23107, National Bureau of Economic Research, Inc.
    19. Brilli, Ylenia & Lucifora, Claudio & Russo, Antonio & Tonello, Marco, 2020. "Vaccination Take-up and Health: Evidence from a Flu Vaccination Program for the Elderly," IZA Discussion Papers 13546, Institute of Labor Economics (IZA).
    20. Hair, Nicole L. & Gruber, Anja & Urban, Carly, 2020. "Personal Belief Exemptions for School-Entry Vaccinations, Vaccination Rates, and Academic Achievement," IZA Discussion Papers 12978, Institute of Labor Economics (IZA).
    21. Hirani, Jonas Cuzulan & Wüst, Miriam, 2023. "Reminder Design and Childhood Vaccination Coverage," IZA Discussion Papers 15877, Institute of Labor Economics (IZA).

  16. Jason Abrevaya & Jerry A. Hausman & Shakeeb Khan, 2010. "Testing for Causal Effects in a Generalized Regression Model With Endogenous Regressors," Econometrica, Econometric Society, vol. 78(6), pages 2043-2061, November.

    Cited by:

    1. Shakeeb Khan & Xiaoying Lan & Elie Tamer & Qingsong Yao, 2021. "Estimating High Dimensional Monotone Index Models by Iterative Convex Optimization1," Papers 2110.04388, arXiv.org, revised Feb 2023.
    2. Koen Jochmans, 2013. "Pairwise-comparison estimation with nonparametric controls," SciencePo Working papers Main hal-00973068, HAL.
    3. Machado, Cecilia & Shaikh, Azeem M. & Vytlacil, Edward J., 2019. "Instrumental variables and the sign of the average treatment effect," Journal of Econometrics, Elsevier, vol. 212(2), pages 522-555.
    4. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Discrete Choice Models for Bundles," Discussion Papers Series 625, School of Economics, University of Queensland, Australia.
    5. Shun-Yang Lee & Julian Runge & Daniel Yoo & Yakov Bart & Anett Gyurak & J. W. Schneider, 2023. "COVID-19 Demand Shocks Revisited: Did Advertising Technology Help Mitigate Adverse Consequences for Small and Midsize Businesses?," Papers 2307.09035, arXiv.org, revised Jan 2024.
    6. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2019. "Inference on Semiparametric Multinomial Response Models," Boston College Working Papers in Economics 980, Boston College Department of Economics.
    7. Shakeeb Khan & Arnaud Maurel & Yichong Zhang, 2021. "Informational Content of Factor Structures in Simultaneous Binary Response Models," NBER Working Papers 28327, National Bureau of Economic Research, Inc.
    8. Songnian Chen & Shakeeb Khan & Xun Tang, 2018. "Exclusion Restrictions in Dynamic Binary Choice Panel Data Models," Boston College Working Papers in Economics 947, Boston College Department of Economics.
    9. Shakeeb Khan & Tatiana Komarova & Denis Nekipelov, 2023. "On Optimal Set Estimation for Partially Identified Binary Choice Models," Papers 2310.02414, arXiv.org, revised Oct 2023.
    10. Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Anirban Basu & Norma B. Coe & Cole G. Chapman, 2018. "2SLS versus 2SRI: Appropriate methods for rare outcomes and/or rare exposures," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 937-955, June.
    12. Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 39/15, Institute for Fiscal Studies.
    13. Geraci, A. & Fabbri, D. & Monfardini, C., 2014. "Testing exogeneity of multinomial regressors in count data models: does two stage residual inclusion work?," Health, Econometrics and Data Group (HEDG) Working Papers 14/03, HEDG, c/o Department of Economics, University of York.
    14. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
    15. Esmeralda A. Ramalho & Joaquim J. S. Ramalho, 2017. "Moment-based estimation of nonlinear regression models with boundary outcomes and endogeneity, with applications to nonnegative and fractional responses," Econometric Reviews, Taylor & Francis Journals, vol. 36(4), pages 397-420, April.
    16. Vinh Huy Nguyen & Suchismita Mishra & Pankaj K. Jain, 2022. "Institutional trading around repurchase announcements: An uphill battle," The Financial Review, Eastern Finance Association, vol. 57(3), pages 485-507, August.
    17. Zhang, Zhengyu & He, Xiaobo, 2012. "Estimation of a heteroscedastic binary choice model with an endogenous dummy regressor," Economics Letters, Elsevier, vol. 117(3), pages 753-757.
    18. Hu, Yingyao & Shiu, Ji-Liang & Woutersen, Tiemen, 2016. "Identification in nonseparable models with measurement errors and endogeneity," Economics Letters, Elsevier, vol. 144(C), pages 33-36.
    19. Sukjin Han, 2018. "Identification in Nonparametric Models for Dynamic Treatment Effects," Papers 1805.09397, arXiv.org, revised Jan 2019.
    20. Songnian Chen & Shakeeb Khan & Xun Tang, 2013. "Informational Content of Special Regressors in Heteroskedastic Binary Response Models," PIER Working Paper Archive 13-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    21. Jifeng Mu & Jonathan Z. Zhang, 2021. "Seller marketing capability, brand reputation, and consumer journeys on e-commerce platforms," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 994-1020, September.
    22. Aikaterina Oikonomou & Michael Polemis & Symeoni-Eleni Soursou, 2021. "International Environmental Agreements and CO 2 Emissions: Fresh Evidence from 11 Polluting Countries," JRFM, MDPI, vol. 14(7), pages 1-13, July.
    23. Niket Jindal & Leigh McAlister, 2015. "The Impacts of Advertising Assets and R&D Assets on Reducing Bankruptcy Risk," Marketing Science, INFORMS, vol. 34(4), pages 555-572, July.
    24. Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, Institute for Fiscal Studies.
    25. Guo, Jing & Wang, Lei & Zhang, Zhengyu, 2022. "Identification and estimation of a heteroskedastic censored regression model with random coefficient dummy endogenous regressors," Economic Modelling, Elsevier, vol. 110(C).
    26. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.
    27. Anirban Basu & Norma Coe & Cole G. Chapman, 2017. "Comparing 2SLS vs 2SRI for Binary Outcomes and Binary Exposures," NBER Working Papers 23840, National Bureau of Economic Research, Inc.
    28. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2021. "Inference on semiparametric multinomial response models," Quantitative Economics, Econometric Society, vol. 12(3), pages 743-777, July.
    29. Aradillas-Lopez, Andres, 2010. "Semiparametric estimation of a simultaneous game with incomplete information," Journal of Econometrics, Elsevier, vol. 157(2), pages 409-431, August.

  17. Jason Abrevaya, 2009. "Are There Missing Girls in the United States? Evidence from Birth Data," American Economic Journal: Applied Economics, American Economic Association, vol. 1(2), pages 1-34, April.

    Cited by:

    1. Athanasios Lapatinas & Anstasia Litina & Skerdilajda Zanaj, 2021. "Economic complexity shapes attitudes about gender roles," DEM Discussion Paper Series 21-16, Department of Economics at the University of Luxembourg.
    2. Sonia Bhalotra & Abhishek Chakravarty & Dilip Mookherjee & Francisco J. Pino, 2016. "Property Rights and Gender Bias: Evidence from Land Reform in West Bengal," Working Papers wp422, University of Chile, Department of Economics.
    3. Duflo, Esther, 2012. "Women's Empowerment and Economic Development," CEPR Discussion Papers 8734, C.E.P.R. Discussion Papers.
    4. Milazzo, Annamaria, 2014. "Son preference, fertility and family structure : evidence from reproductive behavior among Nigerian women," Policy Research Working Paper Series 6869, The World Bank.
    5. Hu, Luojia & Schlosser, Analia, 2012. "Trends in Prenatal Sex Selection and Girls’ Nutritional Status in India," Foerder Institute for Economic Research Working Papers 275797, Tel-Aviv University > Foerder Institute for Economic Research.
    6. Hu, Luojia & Schlosser, Analia, 2014. "Prenatal Sex Selection and Girls’ Well‐Being: Evidence from India," Foerder Institute for Economic Research Working Papers 275836, Tel-Aviv University > Foerder Institute for Economic Research.
    7. Deng, Zichen & Lindeboom, Maarten, 2019. "A Bit of Salt, a Trace of Life: Gender Norms and the Impact of a Salt Iodization Program on Human Capital Formation of School Aged Children," IZA Discussion Papers 12629, Institute of Labor Economics (IZA).
    8. Gulesci, Selim & Bhalotra, Sonia & Chakravarty, Abhishek, 2018. "The Price of Gold: Dowry and Death in India," CEPR Discussion Papers 12712, C.E.P.R. Discussion Papers.
    9. Duan Huiqiong & Hicks Daniel L., 2020. "New evidence on son preference among immigrant households in the United States," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-28, January.
    10. Libertad González Luna, 2016. "Sex selection and health at birth among Indian immigrants," Economics Working Papers 1516, Department of Economics and Business, Universitat Pompeu Fabra.
    11. Frank T. Denton & Byron G. Spencer, 2014. "Exploring the Population Implications of Male Preference When the Sex Probabilities at Birth Can Be Altered," Department of Economics Working Papers 2014-10, McMaster University.
    12. Slesh A. Shrestha & Nethra Palaniswamy, 2017. "Sibling rivalry and gender gap: intrahousehold substitution of male and female educational investments from male migration prospects," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1355-1380, October.
    13. Anukriti, S & Bhalotra, Sonia & Tam, Eddy H. F., 2021. "On the Quantity and Quality of Girls : Fertility, Parental Investments, and Mortality," The Warwick Economics Research Paper Series (TWERPS) 1346, University of Warwick, Department of Economics.
    14. Neeraj Kaushal & Felix M. Muchomba, 2018. "Missing time with parents: son preference among Asians in the USA," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(2), pages 397-427, April.
    15. George L. Wehby & Jason M. Hockenberry, 2017. "Impact of child health and disability on subsequent maternal fertility," Review of Economics of the Household, Springer, vol. 15(3), pages 995-1016, September.
    16. Bhalotra, Sonia & Brulé, Rachel & Roy, Sanchari, 2020. "Women's inheritance rights reform and the preference for sons in India," Journal of Development Economics, Elsevier, vol. 146(C).
    17. Michael Baker & Kevin Milligan, 2016. "Boy-Girl Differences in Parental Time Investments: Evidence from Three Countries," Journal of Human Capital, University of Chicago Press, vol. 10(4), pages 399-441.
    18. Francine D. Blau & Lawrence M. Kahn & Peter Brummund & Jason Cook & Miriam Larson-Koester, 2020. "Is there still son preference in the United States?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 709-750, July.
    19. Avraham Ebenstein, 2011. "Estimating a Dynamic Model of Sex Selection in China," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 783-811, May.
    20. Milazzo, Annamaria, 2014. "Why are adult women missing ? son preference and maternal survival in India," Policy Research Working Paper Series 6802, The World Bank.
    21. Samuel Marden, 2016. "Family Size and the Demand for Sex Selection: Evidence From China," Working Paper Series 09016, Department of Economics, University of Sussex Business School.
    22. Douglas Almond & Hongbin Li & Shuang Zhang, 2019. "Land Reform and Sex Selection in China," Journal of Political Economy, University of Chicago Press, vol. 127(2), pages 560-585.
    23. Anukriti, S. & Kwon, Sungoh & Prakash, Nishith, 2022. "Saving for dowry: Evidence from rural India," Journal of Development Economics, Elsevier, vol. 154(C).
    24. Donna Feir & Randall Akee, 2018. "First People Lost: Determining the State of Status First Nations Mortality in Canada Using Administrative Data," Department Discussion Papers 1802, Department of Economics, University of Victoria.
    25. Anjali P. Verma & Imelda Imelda, 2022. "Clean Energy Access: Gender Disparity, Health, and Labour Supply," IHEID Working Papers 11-2022, Economics Section, The Graduate Institute of International Studies.
    26. Portner, Claus C, 2015. "Sex-selective abortions, fertility, and birth spacing," Policy Research Working Paper Series 7189, The World Bank.
    27. World Bank, 2011. "Work and Family : Latin American and Caribbean Women in Search of a New Balance [Trabajo & familia : mujeres de América Latina y el Caribe en busca de un nuevo equilibrio - Resumen ejecuivo (Vol. 2," World Bank Publications - Reports 12489, The World Bank Group.
    28. So Yoon Ahn & Youjin Hahn & Semee Yoon, 2021. "Can New Learning Opportunities Reshape Gender Attitudes for Girls?: Field Evidence from Tanzania," Working Papers 2021-046, Human Capital and Economic Opportunity Working Group.
    29. Almond, Douglas & Cheng, Yi, 2021. "Perinatal health among 1 million Chinese-Americans," Economics & Human Biology, Elsevier, vol. 40(C).
    30. Libertad González Luna, 2014. "Missing girls in Spain," Economics Working Papers 1420, Department of Economics and Business, Universitat Pompeu Fabra.
    31. Tavassoli Nahid, 2021. "The Transition of Son Preference: Evidence from Southeast Asian Countries," Economics, Sciendo, vol. 9(1), pages 43-67, June.
    32. Ebert, Cara & Klasen, Stephan & Vollmer, Sebastian, 2021. "Counting missing women: A reconciliation of the "flow measure" and the "stock measure"," Ruhr Economic Papers 924, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    33. Lee, Soohyung & Orsini, Chiara, 2017. "Did the Great Recession affect sex ratios at birth for groups with a son preference?," Economics Letters, Elsevier, vol. 154(C), pages 48-50.
    34. Keiti Kondi, 2023. "Gender Gap, Intra Household Bargaining and Sex Selective Abortion in Albania," LIDAM Discussion Papers IRES 2023003, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
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    91. Stacy, Brian, 2014. "Left with Bias? Quantile Regression with Measurement Error in Left Hand Side Variables," EconStor Preprints 104744, ZBW - Leibniz Information Centre for Economics.
    92. Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2013. "Wage Dispersion and Decentralization of Wage Bargaining," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 501-533.
    93. Hope Corman & Dhaval Dave & Nancy E. Reichman, 2018. "Evolution of the Infant Health Production Function," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 6-47, July.
    94. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    95. Umer Jeelanie Banday & Mustafa Kocoglu, 2023. "Modelling Simultaneous Relationships Between Human Development, Energy, and Environment: Fresh Evidence from Panel Quantile Regression," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1559-1581, June.
    96. Gu, Jiaying & Volgushev, Stanislav, 2019. "Panel data quantile regression with grouped fixed effects," Journal of Econometrics, Elsevier, vol. 213(1), pages 68-91.
    97. Fukui, Hideki, 2019. "How do slot restrictions affect airfares? New evidence from the US airline industry," Economics of Transportation, Elsevier, vol. 17(C), pages 51-71.
    98. Siminski, Peter, 2008. "What Would the Average Public Sector Employee be Paid in the Private Sector?," Economics Working Papers wp08-05, School of Economics, University of Wollongong, NSW, Australia.
    99. Leah K. Lakdawala & David Simon, 2017. "The Intergenerational Consequences of Tobacco Policy: A Review of Policy's Influence on Maternal Smoking and Child Health," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 229-274, July.
    100. Nicky Lee Grant, 2016. "Correlated Random Effects Quantile Estimation of the Tax-Price Elasticity of Charitable Donations," Economics Bulletin, AccessEcon, vol. 36(3), pages 1729-1736.
    101. Wolfgang Frimmel & Gerald J. Pruckner, 2011. "Birth weight and family status revisited: evidence from Austrian register data," Economics working papers 2011-17, Department of Economics, Johannes Kepler University Linz, Austria.
    102. Jeffrey E. Harris & Ana Balsa & Patricia Triunfo, 2014. "Campaña antitabaco en Uruguay:Impacto en la decisión de dejar de fumar durante el embarazo y en el peso al nacer," Documentos de Trabajo (working papers) 0114, Department of Economics - dECON.
    103. de-Ramon, Sebastian & Francis, William B & Straughan, Michael, 2020. "The link between bank competition and risk in the United Kingdom: two views for policymaking," Bank of England working papers 885, Bank of England.
    104. Harris, Jeffrey E. & Balsa, Ana Inés & Triunfo, Patricia, 2015. "Tobacco control campaign in Uruguay: Impact on smoking cessation during pregnancy and birth weight," Journal of Health Economics, Elsevier, vol. 42(C), pages 186-196.
    105. Kiran Krishnamurthy, Chandra & Kriström, Bengt, 2013. "Determinants of the price-premium for Green Energy: Evidence from an OECD cross-section," CERE Working Papers 2013:7, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
    106. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    107. Kwak, Sungil, 2011. "The Impact of Taxes on Charitable Giving: Empirical Evidence from the Korean Labor and Income Panel Study," MPRA Paper 36845, University Library of Munich, Germany.
    108. Esra Kose & Siobhan M. O'Keefe & Maria Rosales-Rueda, 2022. "Does the Delivery of Primary Health Care Improve Birth Outcomes? Evidence from the Rollout of Community Health Centers," NBER Working Papers 30047, National Bureau of Economic Research, Inc.
    109. Vinish Shrestha, 2019. "Maternal Education and Infant Health Gradient: New Answers to Old Questions," Working Papers 2019-03, Towson University, Department of Economics, revised May 2020.
    110. Xiaoying Liu & Jere R. Behrman & Emily Hannum & Fan Wang & Qingguo Zhao, 2022. "Same environment, stratified impacts? Air pollution, extreme temperatures, and birth weight in south China," Papers 2204.00219, arXiv.org.
    111. Schorr, A. & Lips, M., 2018. "Influence of milk yield on profitability a quantile regression analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277000, International Association of Agricultural Economists.
    112. Ricker-Gilbert, Jacob & Jayne, Thomas S., 2012. "Do Fertilizer Subsidies Boost Staple Crop Production and Reduce Poverty Across the Distribution of Smallholders in Africa? Quantile Regression Results from Malawi," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126742, International Association of Agricultural Economists.
    113. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    114. Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    115. Daniel Zaga, 2014. "The Impact of Three Mexican Nutritional Programs: The Case of Dif-Puebla," CFD Working Papers 09-2015, Centre for Finance and Development, The Graduate Institute.
    116. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    117. Shahidur R. Khandker & Douglas F. Barnes & Hussain A. Samad, 2013. "Welfare Impacts of Rural Electrification: A Panel Data Analysis from Vietnam," Economic Development and Cultural Change, University of Chicago Press, vol. 61(3), pages 659-692.
    118. Karen X. Yan & Qi Li, 2018. "Nonparametric Estimation of a Conditional Quantile Function in a Fixed Effects Panel Data Model," JRFM, MDPI, vol. 11(3), pages 1-10, August.
    119. R. Khandker, Shahidur & Khalily, M. A. Baqui & A. Samad, Hussain, 2015. "Who Benefits Most from Microfinance in Bangladesh?," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 38(4), pages 1-30, December.
    120. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    121. Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," Papers 1912.02151, arXiv.org, revised Aug 2022.
    122. Atilla Ahmet UĞUR & Demet ÖZOCAKLI, 2018. "Gıda Güvencesizliğinin Bazı Belirleyicileri (Kantil Regresyon Yöntemi ve Sabit Etki Panel Yönteminin Karşılaştırılması)," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(35).
    123. Ando, Tomohiro & Bai, Jushan, 2018. "Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity," MPRA Paper 88765, University Library of Munich, Germany.
    124. Ji Yan, 2017. "Healthy Babies: Does Prenatal Care Really Matter?," Working Papers 17-09, Department of Economics, Appalachian State University.
    125. Liu, Guanchun & Zhang, Chengsi, 2020. "Does financial structure matter for economic growth in China," China Economic Review, Elsevier, vol. 61(C).
    126. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
    127. Cooke, Edgar F. A., 2012. "Is the impact of AGOA heterogeneous?," MPRA Paper 43277, University Library of Munich, Germany.
    128. Yamada, Ken, 2016. "Tracing the impact of large minimum wage changes on household welfare in Indonesia," European Economic Review, Elsevier, vol. 87(C), pages 287-303.
    129. Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
    130. Baron, E. Jason, 2018. "The Effect of Teachers’ Unions on Student Achievement in the Short Run: Evidence from Wisconsin’s Act 10," Economics of Education Review, Elsevier, vol. 67(C), pages 40-57.
    131. Xavier Vollenweider, 2014. "A simple framework for the estimation of climate exposure," GRI Working Papers 158, Grantham Research Institute on Climate Change and the Environment.
    132. Tim Bersak & Lyudmyla Sonchak‐Ardan, 2022. "Prenatal care: Mechanisms and impacts on infant health and health care utilization," Contemporary Economic Policy, Western Economic Association International, vol. 40(1), pages 48-65, January.
    133. Xu Chen & Surya T. Tokdar, 2021. "Joint quantile regression for spatial data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(4), pages 826-852, September.
    134. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    135. Jorge Eduardo Camusso & Ana Inés Navarro, 2021. "Asymmetries in aggregate income risk over the business cycle: evidence from administrative data of Argentina," Asociación Argentina de Economía Política: Working Papers 4447, Asociación Argentina de Economía Política.
    136. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    137. Choi, Jin-young & Lee, Myoung-jae, 2019. "Twins are more different than commonly believed, but made less different by compensating behaviors," Economics & Human Biology, Elsevier, vol. 35(C), pages 18-31.

  19. Jason Abrevaya, 2008. "On recombinant estimation for experimental data," Experimental Economics, Springer;Economic Science Association, vol. 11(1), pages 25-52, March.

    Cited by:

    1. Rustamdjan Hakimov & Onur Kesten, 2018. "The Equitable Top Trading Cycles Mechanism For School Choice," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(4), pages 2219-2258, November.
    2. Tibor Besedeš & Cary Deck & Sarah Quintanar & Sudipta Sarangi & Mikhail Shor, 2014. "Effort and Performance: What Distinguishes Interacting and Noninteracting Groups from Individuals?," Southern Economic Journal, John Wiley & Sons, vol. 81(2), pages 294-322, October.
    3. Tibor Besedes & Cary Deck & Sarah Quintanar & Sudipta Sarangi & Mikhael Shor, 2012. "Free-Riding and Performance in Collaborative and Non-Collaborative Groups," Working papers 2012-21, University of Connecticut, Department of Economics.
    4. Shakun Datta Mago & Emmanuel Dechenaux, 2009. "Price leadership and firm size asymmetry: an experimental analysis," Experimental Economics, Springer;Economic Science Association, vol. 12(3), pages 289-317, September.
    5. Markus Kinateder & Hubert János Kiss & Ágnes Pintér, 2020. "Would depositors pay to show that they do not withdraw? Theory and experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 873-894, September.
    6. Calsamiglia, Caterina & Haeringer, Guillaume & Klijn, Flip, 2011. "A comment on "School choice: An experimental study" [J. Econ. Theory 127 (1) (2006) 202-231]," Journal of Economic Theory, Elsevier, vol. 146(1), pages 392-396, January.

  20. Jason Abrevaya, 2006. "Estimating the effect of smoking on birth outcomes using a matched panel data approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 489-519.

    Cited by:

    1. Emilia Del Bono & John Ermisch & Marco Francesconi, 2012. "Intrafamily Resource Allocations: A Dynamic Structural Model of Birth Weight," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 657-706.
    2. Del Bono, Emilia & Ermisch, John & Francesconi, Marco, 2008. "Intrafamily Resource Allocations: A Dynamic Model of Birth Weight," IZA Discussion Papers 3704, Institute of Labor Economics (IZA).
    3. Sokbae Lee & Ryo Okui & Yoon†Jae Whang, 2017. "Doubly robust uniform confidence band for the conditional average treatment effect function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1207-1225, November.
    4. Jérôme Adda & Valérie Lechene, 2013. "Health Selection and the Effect of Smoking on Mortality," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(3), pages 902-931, July.
    5. Stefan Bache & Christian Dahl & Johannes Kristensen, 2013. "Headlights on tobacco road to low birthweight outcomes," Empirical Economics, Springer, vol. 44(3), pages 1593-1633, June.
    6. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2021. "Estimating Partially Conditional Quantile Treatment Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202103, University of Kansas, Department of Economics, revised Jan 2021.
    7. Lane F. Burgette & Jerome P. Reiter, 2012. "Modeling Adverse Birth Outcomes via Confirmatory Factor Quantile Regression," Biometrics, The International Biometric Society, vol. 68(1), pages 92-100, March.
    8. Alyssa Carlson & Riju Joshi, 2021. "Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients," Working Papers 2103, Department of Economics, University of Missouri.
    9. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers 40/15, Institute for Fiscal Studies.
    10. Yoonseok Lee & Sung Jae Jun & Youngki Shin, 2014. "Treatment Effects with Unobserved Heterogeneity: A Set Identification Approach," Center for Policy Research Working Papers 169, Center for Policy Research, Maxwell School, Syracuse University.
    11. Cygan-Rehm, Kamila & Karbownik, Krzysztof, 2022. "The effects of incentivizing early prenatal care on infant health," Journal of Health Economics, Elsevier, vol. 83(C).
    12. Eiji Yamamura & Yoshiro Tsutsui, 2019. "Effects of Pregnancy and Birth on Smoking and Drinking Behaviours: A Comparative Study Between Men and Women," The Japanese Economic Review, Japanese Economic Association, vol. 70(2), pages 210-234, June.
    13. Wüst, Miriam, 2010. "The effect of cigarette and alcohol consumption on birth outcomes," Working Papers 10-5, University of Aarhus, Aarhus School of Business, Department of Economics.
    14. S Prethesa Mercy & C Selva Smiley, 2020. "A Study on Working Conditions of Women Beedi Workers at Aralvoimozhi Town Panchayat of Kanniyakumari District," Shanlax International Journal of Economics, Shanlax Journals, vol. 8(2), pages 49-53, March.
    15. Irvine Ian J. & Nguyen Van Hai, 2014. "Retail Tobacco Display Bans," Forum for Health Economics & Policy, De Gruyter, vol. 17(2), pages 1-27, September.
    16. Ana I. Balsa & Patricia Triunfo, 2012. "The Effectiveness of Prenatal Care in a Low Income Population: A Panel Data Approach," Documentos de Trabajo/Working Papers 1204, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    17. Ji Yan, 2013. "Prenatal Smoking Cessation and Infant Health: Evidence from Sibling Births," Southern Economic Journal, John Wiley & Sons, vol. 80(2), pages 299-323, October.
    18. Bongkyun Kim & Celeste K. Carruthers & Matthew C. Harris, 2016. "Maternal Stress and Birth Outcomes: Evidence from the 1994 Northridge Earthquake," Working Papers 2016-01, University of Tennessee, Department of Economics.
    19. Symeou, Pavlos C. & Zyglidopoulos, Stelios & Williamson, Peter, 2018. "Internationalization as a driver of the corporate social performance of extractive industry firms," Journal of World Business, Elsevier, vol. 53(1), pages 27-38.
    20. Kasey S. Buckles, 2012. "Selection and the Marriage Premium for Infant Health," Working Papers 003, University of Notre Dame, Department of Economics, revised Jul 2012.
    21. Stefan Holst Bache & Christian M. Dahl & Johannes Tang, "undated". "Headlights on tobacco road to low birthweight outcomes - Evidence from a battery of quantile regression estimators and a heterogeneous panelCreation-Date: 20080508," CREATES Research Papers 2008-20, Department of Economics and Business Economics, Aarhus University.
    22. Reinhard Schunck, 2013. "Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models," Stata Journal, StataCorp LP, vol. 13(1), pages 65-76, March.
    23. Shengfang Tang & Zongwu Cai & Ying Fang & Ming Lin, 2020. "A New Quantile Treatment Effect Model for Studying Smoking Effect on Birth Weight During Mother's Pregnancy," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202003, University of Kansas, Department of Economics, revised Feb 2020.
    24. Ana Inés Balsa & Patricia Triunfo, 2012. "¿Son los cuidados prenatales efectivos? Un enfoque con datos individuales de panel," Documentos de Trabajo (working papers) 0612, Department of Economics - dECON.
    25. Manuel Arellano & Stéphane Bonhomme, 2012. "Identifying Distributional Characteristics in Random Coefficients Panel Data Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 987-1020.
    26. Leah K. Lakdawala & David Simon, 2016. "The Intergenerational Consequences of Tobacco Policy," Working papers 2016-27, University of Connecticut, Department of Economics.
    27. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
    28. Eiji Yamamura, 2014. "Smokers’ Sexual Behavior and Their Satisfaction with Family Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(3), pages 1229-1247, September.
    29. Jeffrey E. Harris & Ana Inés Balsa & Patricia Triunfo, 2014. "Tobacco Control Campaign in Uruguay: Impact on Smoking Cessation during Pregnancy," NBER Working Papers 19878, National Bureau of Economic Research, Inc.
    30. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    31. Sadegh Eshaghnia & James J. Heckman, 2023. "Intergenerational Transmission of Inequality: Maternal Endowments, Investments, and Birth Outcomes," NBER Working Papers 31761, National Bureau of Economic Research, Inc.
    32. Kyriopoulos, Ilias & Nikoloski, Zlatko & Mossialos, Elias, 2019. "Does economic recession impact newborn health? Evidence from Greece," Social Science & Medicine, Elsevier, vol. 237(C), pages 1-1.
    33. Difang Huang & Jiti Gao & Tatsushi Oka, 2022. "Semiparametric Single-Index Estimation for Average Treatment Effects," Papers 2206.08503, arXiv.org, revised Apr 2024.
    34. MaryBeth Walker & Erdal Tekin & Sally Wallace, 2007. "Teen Smoking and Birth Outcomes," NBER Working Papers 13386, National Bureau of Economic Research, Inc.
    35. Catherine Haeck & Pierre Lefebvre, 2014. "A Simple Recipe: the Effect of a Prenatal Nutrition Program on Child Health at Birth," Working Papers 14-01, Research Group on Human Capital, University of Quebec in Montreal's School of Management, revised May 2016.
    36. Sonchak, Lyudmyla, 2015. "Medicaid reimbursement, prenatal care and infant health," Journal of Health Economics, Elsevier, vol. 44(C), pages 10-24.
    37. Marco Giesselmann & Alexander Schmidt-Catran, 2018. "Interactions in Fixed Effects Regression Models," Discussion Papers of DIW Berlin 1748, DIW Berlin, German Institute for Economic Research.
    38. Miriam Wüst, 2015. "Maternal Employment During Pregnancy and Birth Outcomes: Evidence From Danish Siblings," Health Economics, John Wiley & Sons, Ltd., vol. 24(6), pages 711-725, June.
    39. Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012. "Estimating Conditional Average Treatment Effects," CEU Working Papers 2012_16, Department of Economics, Central European University, revised 20 Jul 2012.
    40. Brian S. Armour & M. Melinda Pitts & Mary Beth Walker, 2011. "A decomposition of the black-white differential in birth outcomes," FRB Atlanta Working Paper 2011-01, Federal Reserve Bank of Atlanta.
    41. Shosei Sakaguchi, 2017. "Estimation of Average Treatment Effects Using Panel Data when Treatment Effects Are Heterogeneous by Unobserved Fixed Effects," KIER Working Papers 970, Kyoto University, Institute of Economic Research.
    42. Leah K. Lakdawala & David Simon, 2017. "The Intergenerational Consequences of Tobacco Policy: A Review of Policy's Influence on Maternal Smoking and Child Health," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 229-274, July.
    43. Koen Jochmans, 2020. "Testing for correlation in error‐component models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 860-878, November.
    44. Anna Aizer & Laura Stroud, 2010. "Education, Knowledge and the Evolution of Disparities in Health," NBER Working Papers 15840, National Bureau of Economic Research, Inc.
    45. Douglas L. Miller & Na’ama Shenhav & Michel Grosz, 2023. "Selection into Identification in Fixed Effects Models, with Application to Head Start," Journal of Human Resources, University of Wisconsin Press, vol. 58(5), pages 1523-1566.
    46. Brachet, Tanguy, 2008. "Maternal Smoking, Misclassification, and Infant Health," MPRA Paper 21466, University Library of Munich, Germany.
    47. Jeffrey E. Harris & Ana Balsa & Patricia Triunfo, 2014. "Campaña antitabaco en Uruguay:Impacto en la decisión de dejar de fumar durante el embarazo y en el peso al nacer," Documentos de Trabajo (working papers) 0114, Department of Economics - dECON.
    48. Harris, Jeffrey E. & Balsa, Ana Inés & Triunfo, Patricia, 2015. "Tobacco control campaign in Uruguay: Impact on smoking cessation during pregnancy and birth weight," Journal of Health Economics, Elsevier, vol. 42(C), pages 186-196.
    49. Adam Baybutt & Manu Navjeevan, 2023. "Doubly-Robust Inference for Conditional Average Treatment Effects with High-Dimensional Controls," Papers 2301.06283, arXiv.org.
    50. Ana Inés Balsa & Patricia Triunfo, 2015. "The Effectiveness of Prenatal Care in Uruguay's Low-Income Population: A Panel Data Approach," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 52(2), pages 149-183, November.
    51. Ji Yan, 2017. "Healthy Babies: Does Prenatal Care Really Matter?," Working Papers 17-09, Department of Economics, Appalachian State University.
    52. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
    53. Angela R. Fertig, 2010. "Selection and the effect of prenatal smoking," Health Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 209-226, February.
    54. Jochmans, K., 2019. "Testing Correlation in Error-Component Models," Cambridge Working Papers in Economics 1993, Faculty of Economics, University of Cambridge.
    55. Socha, Karolina & Bech, Mickael, 2011. "The relationship between dual practice and physicians’ work behaviour in the public hospitals: Results from the Danish survey," DaCHE discussion papers 2011:1, University of Southern Denmark, Dache - Danish Centre for Health Economics.
    56. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.
    57. Hamid Noghanibehambari & Farzaneh Noghani, 2023. "Long‐run intergenerational health benefits of women empowerment: Evidence from suffrage movements in the US," Health Economics, John Wiley & Sons, Ltd., vol. 32(11), pages 2583-2631, November.

  21. Jason Abrevaya & Jian Huang, 2005. "On the Bootstrap of the Maximum Score Estimator," Econometrica, Econometric Society, vol. 73(4), pages 1175-1204, July.

    Cited by:

    1. Seo, Myung Hwan & Linton, Oliver, 2007. "A smoothed least squares estimator for threshold regression models," Journal of Econometrics, Elsevier, vol. 141(2), pages 704-735, December.
    2. Yuanyuan Wan & Haiqing Xu, 2013. "Inference in Semiparametric Binary Response Models with Interval Data," Working Papers tecipa-492, University of Toronto, Department of Economics.
    3. Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009. "An Improved Bootstrap Test of Stochastic Dominance," Cowles Foundation Discussion Papers 1713, Cowles Foundation for Research in Economics, Yale University.
    4. Yan, Jin & Yoo, Hong Il, 2019. "Semiparametric estimation of the random utility model with rank-ordered choice data," Journal of Econometrics, Elsevier, vol. 211(2), pages 414-438.
    5. Zhexiao Lin & Fang Han, 2023. "On the failure of the bootstrap for Chatterjee's rank correlation," Papers 2303.14088, arXiv.org, revised Apr 2023.
    6. Joel L. Horowitz, 2018. "Bootstrap Methods in Econometrics," Papers 1809.04016, arXiv.org.
    7. Marcin Owczarczuk, 2008. "Maximum score type estimators," Working Papers 28, Department of Applied Econometrics, Warsaw School of Economics.
    8. D. F. Benoit & D. Van Den Poel, 2010. "Binary quantile regression: A Bayesian approach based on the asymmetric Laplace density," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/662, Ghent University, Faculty of Economics and Business Administration.
    9. Boonsoo Koo & Myung Hwan Seo, 2013. "Structural-break models under mis-specification: implications for forecasting," Monash Econometrics and Business Statistics Working Papers 8/13, Monash University, Department of Econometrics and Business Statistics.
    10. Jeremy T. Fox, 2007. "Semiparametric estimation of multinomial discrete-choice models using a subset of choices," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 1002-1019, December.
    11. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2013. "Maximum score estimation of preference parameters for a binary choice model under uncertainty," CeMMAP working papers CWP14/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Discrete Choice Models for Bundles," Discussion Papers Series 625, School of Economics, University of Queensland, Australia.
    13. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    14. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2017. "Bootstrap-Based Inference for Cube Root Consistent Estimators," CREATES Research Papers 2017-18, Department of Economics and Business Economics, Aarhus University.
    15. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2014. "Maximum score estimation with nonparametrically generated regressors," CeMMAP working papers 27/14, Institute for Fiscal Studies.
    16. Joseph P. Romano & Michael Wolf, "undated". "Control of Generalized Error Rates in Multiple Testing," IEW - Working Papers 245, Institute for Empirical Research in Economics - University of Zurich.
    17. Jeremy Fox, 2016. "Estimating Matching Games with Transfers," CeMMAP working papers 14/16, Institute for Fiscal Studies.
    18. Sokbae Lee & Myunghwan Seo, 2007. "Semiparametric Estimation Of A Binaryresponse Model With A Change-Pointdue To A Covariate Threshold," STICERD - Econometrics Paper Series 516, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    19. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," ANU Working Papers in Economics and Econometrics 2020-671, Australian National University, College of Business and Economics, School of Economics.
    20. Fu Ouyang & Thomas Tao Yang, 2022. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Papers 2202.12062, arXiv.org, revised Feb 2024.
    21. Sy Han Chiou & Gongjun Xu & Jun Yan & Chiung‐Yu Huang, 2018. "Semiparametric estimation of the accelerated mean model with panel count data under informative examination times," Biometrics, The International Biometric Society, vol. 74(3), pages 944-953, September.
    22. Taisuke Otsu & Myung Hwan Seo, 2014. "Asymptotics for maximum score method under general conditions," STICERD - Econometrics Paper Series 571, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    23. Florios, Kostas & Skouras, Spyros, 2008. "Exact computation of max weighted score estimators," Journal of Econometrics, Elsevier, vol. 146(1), pages 86-91, September.
    24. 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.
    25. Dominic Coey & Bradley J. Larsen & Kane Sweeney & Caio Waisman, 2021. "Scalable Optimal Online Auctions," Marketing Science, INFORMS, vol. 40(4), pages 593-618, July.
    26. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    27. Subhra sankar Dhar, 2016. "Trimmed Mean Isotonic Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(1), pages 202-212, March.
    28. Adam Rosen & Takuya Ura, 2020. "Finite Sample Inference for the Maximum Score Estimand," CeMMAP working papers CWP22/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Christian Ahlin, 2010. "Matching for Credit: Risk and Diversification in Thai Microcredit Groups," Working Papers id:2588, eSocialSciences.
    30. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Kyungchul Song, 2009. "Two-Step Extremum Estimation with Estimated Single-Indices," PIER Working Paper Archive 09-012, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    32. Hidalgo, Javier & Lee, Jungyoon & Seo, Myung Hwan, 2019. "Robust inference for threshold regression models," Journal of Econometrics, Elsevier, vol. 210(2), pages 291-309.
    33. Iglesias Emma M, 2010. "First and Second Order Asymptotic Bias Correction of Nonlinear Estimators in a Non-Parametric Setting and an Application to the Smoothed Maximum Score Estimator," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-30, May.
    34. Fu Ouyang & Thomas T. Yang, 2023. "Semiparametric Discrete Choice Models for Bundles," Papers 2306.04135, arXiv.org, revised Nov 2023.
    35. Rafael Bernardo Carmona-Benítez & María Rosa Nieto, 2017. "Comparison of bootstrap estimation intervals to forecast arithmetic mean and median air passenger demand," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1211-1224, May.
    36. Kajal Lahiri & Liu Yang, 2012. "Forecasting Binary Outcomes," Discussion Papers 12-09, University at Albany, SUNY, Department of Economics.
    37. Brian Blackburn & Aprajit Mahajan & Alessandro Tarozzi & Joanne Yoong, "undated". "Bednets, Information and Malaria in Orissa," Discussion Papers 08-025, Stanford Institute for Economic Policy Research.
    38. Christopher R. Dobronyi & Fu Ouyang & Thomas Tao Yang, 2023. "Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables," Papers 2301.09379, arXiv.org, revised Mar 2024.
    39. Han, Jinyue & Wang, Jun & Gao, Wei & Tang, Man-Lai, 2023. "Estimation of the directions for unknown parameters in semiparametric models," MPRA Paper 116365, University Library of Munich, Germany.
    40. Pramita Bagchi & Subhra Sankar Dhar, 2020. "A study on the least squares estimator of multivariate isotonic regression function," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1192-1221, December.
    41. Chen, Songnian & Zhang, Hanghui, 2015. "Binary quantile regression with local polynomial smoothing," Journal of Econometrics, Elsevier, vol. 189(1), pages 24-40.
    42. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.
    43. Yu Deng & Donglin Zeng & Jinying Zhao & Jianwen Cai, 2017. "Proportional hazards model with a change point for clustered event data," Biometrics, The International Biometric Society, vol. 73(3), pages 835-845, September.
    44. Song, Kyungchul, 2014. "Semiparametric models with single-index nuisance parameters," Journal of Econometrics, Elsevier, vol. 178(P3), pages 471-483.
    45. Joel L. Horowitz, 2018. "Bootstrap methods in econometrics," CeMMAP working papers CWP53/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2021. "Inference on semiparametric multinomial response models," Quantitative Economics, Econometric Society, vol. 12(3), pages 743-777, July.
    47. Jun, Sung Jae & Pinkse, Joris & Wan, Yuanyuan, 2015. "Classical Laplace estimation for n3-consistent estimators: Improved convergence rates and rate-adaptive inference," Journal of Econometrics, Elsevier, vol. 187(1), pages 201-216.
    48. Federico Crippa, 2024. "Regret Analysis in Threshold Policy Design," Papers 2404.11767, arXiv.org.
    49. Olivier Chatain & Denisa Mindruta, 2017. "Estimating Value Creation from Revealed Preferences: Application to Value-based Strategies," Strategic Management Journal, Wiley Blackwell, vol. 38(10), pages 1964-1985, October.

  22. Jason Abrevaya & Wei Jiang, 2005. "A Nonparametric Approach to Measuring and Testing Curvature," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 1-19, January.

    Cited by:

    1. Hélène Couprie & Eugenio Peluso & Alain Trannoy, 2010. "Is power more evenly balanced in poor households?," Post-Print hal-03394429, HAL.
    2. Leorato, S., 2009. "A refined Jensen's inequality in Hilbert spaces and empirical approximations," Journal of Multivariate Analysis, Elsevier, vol. 100(5), pages 1044-1060, May.
    3. Li-Wen Chen & Andrew Adams & Richard Taffler, 2010. "What Style-Timing Skills do Mutual Fund Stars Possess?," CFI Discussion Papers 1001, Centre for Finance and Investment, Heriot Watt University.
    4. Hampf, Benjamin, 2017. "Rational inefficiency, adjustment costs and sequential technologies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1095-1108.
    5. Salim Bouzebda & Thouria El-hadjali & Anouar Abdeldjaoued Ferfache, 2023. "Uniform in Bandwidth Consistency of Conditional U-statistics Adaptive to Intrinsic Dimension in Presence of Censored Data," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(2), pages 1548-1606, August.
    6. José Alvarez & Laura Andreu & Cristina Ortiz & José Sarto, 2014. "A nonparametric approach to market timing: evidence from Spanish mutual funds," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(1), pages 119-132, January.
    7. Hampf, Benjamin, 2016. "Rational Inefficiency, Adjustment Costs and Sequential Technologies," VfS Annual Conference 2016 (Augsburg): Demographic Change 145796, Verein für Socialpolitik / German Economic Association.
    8. Salim Bouzebda & Inass Soukarieh, 2022. "Non-Parametric Conditional U -Processes for Locally Stationary Functional Random Fields under Stochastic Sampling Design," Mathematics, MDPI, vol. 11(1), pages 1-69, December.
    9. 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.
    10. Helene Couprie & Eugenio Peluso & Alain Trannoy, 2007. "From Household to Individual Welfare Comparisons: A Double Concavity Test," IDEP Working Papers 0701, Institut d'economie publique (IDEP), Marseille, France, revised 01 2007.
    11. Meadhbh Sherman & Niall O’Sullivan & Jun Gao, 2017. "The Market-Timing Ability of Chinese Equity Securities Investment Funds," IJFS, MDPI, vol. 5(4), pages 1-18, October.
    12. Oller, Lars-Erik & Teterukovsky, Alex, 2007. "Quantifying the quality of macroeconomic variables," International Journal of Forecasting, Elsevier, vol. 23(2), pages 205-217.
    13. Ambuehl, Sandro & Li, Shengwu, 2018. "Belief updating and the demand for information," Games and Economic Behavior, Elsevier, vol. 109(C), pages 21-39.
    14. Gao, Zhikun & Tang, Yanlin & Wang, Huixia Judy & Wu, Guangying K. & Lin, Jeff, 2020. "Automatic identification of curve shapes with applications to ultrasonic vocalization," Computational Statistics & Data Analysis, Elsevier, vol. 148(C).
    15. Stefan Niermann, 2007. "Testing for linearity in simple regression models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(2), pages 129-139, August.
    16. Nanjing Jian & Shane G. Henderson, 2020. "Estimating the Probability that a Function Observed with Noise Is Convex," INFORMS Journal on Computing, INFORMS, vol. 32(2), pages 376-389, April.
    17. Chen, Li-Wen & Adams, Andrew & Taffler, Richard, 2013. "What style-timing skills do mutual fund “stars” possess?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 156-173.
    18. Chuxuan Jiang & Priya Dev & Ross A. Maller, 2020. "A Hypothesis Test Method for Detecting Multifractal Scaling, Applied to Bitcoin Prices," JRFM, MDPI, vol. 13(5), pages 1-21, May.
    19. Inass Soukarieh & Salim Bouzebda, 2022. "Exchangeably Weighted Bootstraps of General Markov U -Process," Mathematics, MDPI, vol. 10(20), pages 1-42, October.
    20. Sirén, Anders & Parvinen, Kalle, 2015. "A spatial bioeconomic model of the harvest of wild plants and animals," Ecological Economics, Elsevier, vol. 116(C), pages 201-210.
    21. Tatiana Komarova & Javier Hidalgo, 2019. "Testing nonparametric shape restrictions," Papers 1909.01675, arXiv.org, revised Jun 2020.
    22. Keith Cuthbertson & Dirk Nitzsche & Niall O'Sullivan, 2010. "The Market Timing Ability of UK Mutual Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(1‐2), pages 270-289, January.
    23. Salim Bouzebda & Boutheina Nemouchi, 2023. "Weak-convergence of empirical conditional processes and conditional U-processes involving functional mixing data," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 33-88, April.
    24. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.
    25. Komarova, Tatiana & Hidalgo, Javier, 2023. "Testing nonparametric shape restrictions," LSE Research Online Documents on Economics 121410, London School of Economics and Political Science, LSE Library.

  23. Jason Abrevaya, 2004. "Fit to be Tied," Journal of Sports Economics, , vol. 5(3), pages 292-306, August.

    Cited by:

    1. Egon Franck & Philipp Theiler, 2008. "One for sure or three maybe - Empirical evidence for overtime play from Swiss ice hockey," Working Papers 0093, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2010.
    2. Julio del Corral & Juan Prieto-Rodriguez & Rob Simmons, 2008. "The Effect of Incentives on Sabotage: The Case of Spanish Football," IASE Conference Papers 0821, International Association of Sports Economists.
    3. Banerjee, Anurag N. & Swinnen, Johan F.M. & Weersink, Alfons, 2004. "Skating On Thin Ice: Rule Changes And Team Strategies In The Nhl," PRG Working Papers 31870, Katholieke Universiteit Leuven, LICOS - Centre for Institutions and Economic Performance.
    4. Rodney Fort & Young Hoon Lee, 2007. "Structural Change, Competitive Balance, And The Rest Of The Major Leagues," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 519-532, July.
    5. Kendall, Graham & Lenten, Liam J.A., 2017. "When sports rules go awry," European Journal of Operational Research, Elsevier, vol. 257(2), pages 377-394.
    6. Franck Egon & Theiler Philipp, 2012. "One for Sure or Maybe Three: Empirical Evidence for Overtime Play from a Comparison of Swiss Ice Hockey and the NHL," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 210-223, June.
    7. Wright, Mike, 2014. "OR analysis of sporting rules – A survey," European Journal of Operational Research, Elsevier, vol. 232(1), pages 1-8.
    8. Chan, Ho Fai & Savage, David A. & Torgler, Benno, 2019. "There and back again: Adaptation after repeated rule changes of the game," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    9. Carrillo, Juan, 2006. "Penalty Shoot-Outs: Before or After Extra Time?," CEPR Discussion Papers 5579, C.E.P.R. Discussion Papers.
    10. R. Alan Bowman & James Lambrinos & Thomas Ashman, 2018. "Prospective measures of competitive balance application to money lines in the national hockey league," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4925-4936, October.
    11. Rodney Fort, 2007. "Comments on ``Measuring Parity''," Journal of Sports Economics, , vol. 8(6), pages 642-651, December.
    12. Juan D. Carrillo, 2007. "Penalty Shoot-Outs," Journal of Sports Economics, , vol. 8(5), pages 505-518, October.
    13. Travis J. Lybbert & Troy C. Lybbert & Aaron Smith & Scott Warren, 2012. "Does the Red Flag Rule Induce Risk Taking in Sprint Finishes? Moral Hazard Crashes in Cycling’s Grand Tours," Journal of Sports Economics, , vol. 13(6), pages 603-618, December.
    14. Kurt Rotthoff, 2012. "Bankruptcy behavior in the NFL: does the overtime structure change the strategy of the game?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(3), pages 662-674, July.
    15. Michael J. Lopez, 2015. "Inefficiencies in the National Hockey League Points System and the Teams That Take Advantage," Journal of Sports Economics, , vol. 16(4), pages 410-424, May.

  24. Jason Abrevaya & Jerry A. Hausman, 2004. "Response error in a transformation model with an application to earnings-equation estimation *," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 366-388, December.

    Cited by:

    1. Amit Gandhi Gandhi & Zhentong Lu & Xiaoxia Shi, 2013. "Estimating demand for differentiated products with error in market shares," CeMMAP working papers CWP03/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Sundström, David, 2016. "The Competition Effect in a Public Procurement Model: An error-in-variables approach," Umeå Economic Studies 920, Umeå University, Department of Economics, revised 17 Jun 2016.
    3. Christoph Breunig & Stephan Martin, 2020. "Nonclassical Measurement Error in the Outcome Variable," Papers 2009.12665, arXiv.org, revised May 2021.
    4. Pitt, Mark M & Khandker, Shahidur R & Cartwright, Jennifer, 2006. "Empowering Women with Micro Finance: Evidence from Bangladesh," Economic Development and Cultural Change, University of Chicago Press, vol. 54(4), pages 791-831, July.
    5. Kenneth Benoit & Michael Laver & Slava Mikhaylov, 2009. "Treating Words as Data with Error: Uncertainty in Text Statements of Policy Positions," American Journal of Political Science, John Wiley & Sons, vol. 53(2), pages 495-513, April.

  25. Abrevaya, Jason, 2003. "Pairwise-Difference Rank Estimation of the Transformation Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 437-447, July.

    Cited by:

    1. Youngki Shin & Zvezdomir Todorov, 2021. "Exact computation of maximum rank correlation estimator," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 589-607.
    2. Subbotin, Viktor, 2008. "Essays on the econometric theory of rank regressions," MPRA Paper 14086, University Library of Munich, Germany.
    3. Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany.
    4. Caiyun Fan & Wenbin Lu & Rui Song & Yong Zhou, 2017. "Concordance-assisted learning for estimating optimal individualized treatment regimes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1565-1582, November.
    5. Yu, Tao & Li, Pengfei & Chen, Baojiang & Yuan, Ao & Qin, Jing, 2023. "Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model," Journal of Econometrics, Elsevier, vol. 235(2), pages 454-469.
    6. Esmeralda A. Ramalho & Joaquim J. S. Ramalho, 2017. "Moment-based estimation of nonlinear regression models with boundary outcomes and endogeneity, with applications to nonnegative and fractional responses," Econometric Reviews, Taylor & Francis Journals, vol. 36(4), pages 397-420, April.
    7. Subbotin, Viktor, 2007. "Asymptotic and bootstrap properties of rank regressions," MPRA Paper 9030, University Library of Munich, Germany, revised 20 Mar 2008.
    8. Kharratzadeh, Milad & Coates, Mark, 2017. "Semi-parametric order-based generalized multivariate regression," Journal of Multivariate Analysis, Elsevier, vol. 156(C), pages 89-102.

  26. Abrevaya, Jason, 2002. "Ladder tournaments and underdogs: lessons from professional bowling," Journal of Economic Behavior & Organization, Elsevier, vol. 47(1), pages 87-101, January.

    Cited by:

    1. Grund, Christian & Westergård-Nielsen, Niels Christian, 2005. "The Dispersion of Employees' Wage Increases and Firm Performance," Bonn Econ Discussion Papers 3/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
    2. Maria De Paola & Francesca Gioia & Vincenzo Scoppa, 2016. "The Adverse Consequences Of Tournaments: Evidence From A Field Experiment," Working Papers 201607, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    3. Edwin Leuven & Hessel Oosterbeek & Joep Sonnemans & Bas van der Klaauw, 2011. "Incentives versus Sorting in Tournaments: Evidence from a Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 29(3), pages 637-658.
    4. Bernd Frick, 2003. "Contest Theory and Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 512-529, Winter.
    5. Sunde, Uwe, 2009. "Heterogeneity and performance in tournaments: A test for incentive effects using professional tennis data," Munich Reprints in Economics 19585, University of Munich, Department of Economics.
    6. Ozbeklik, Serkan & Smith, Janet Kiholm, 2017. "Risk taking in competition: Evidence from match play golf tournaments," Journal of Corporate Finance, Elsevier, vol. 44(C), pages 506-523.
    7. Konrad, Kai A. & Kovenock, Dan, 2010. "Contests with stochastic abilities," Munich Reprints in Economics 22081, University of Munich, Department of Economics.
    8. Rosenqvist, Olof & Skans, Oskar Nordström, 2015. "Confidence enhanced performance? – The causal effects of success on future performance in professional golf tournaments," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 281-295.
    9. Jetter, Michael & Walker, Jay K., 2015. "Game, Set, and Match: Do Women and Men Perform Differently in Competitive Situations?," IZA Discussion Papers 8934, Institute of Labor Economics (IZA).
    10. Thierry Lallemand & Robert Plasman & François Rycx, 2008. "Women and Competition in Elimination Tournaments," Journal of Sports Economics, , vol. 9(1), pages 3-19, February.
    11. Keith F. Gilsdorf & Vasant A. Sukhatme, 2008. "Testing Rosen's Sequential Elimination Tournament Model," Journal of Sports Economics, , vol. 9(3), pages 287-303, June.
    12. Selçuk Özaydın & Thomas Könecke, 2024. "Match-Level Uncertainty in Professional Tennis Revisited—A Novel Approach Applied for the Time Between 2010 and 2019," Journal of Sports Economics, , vol. 25(4), pages 507-532, May.
    13. Lallemand, Thierry & Plasman, Robert & Rycx, François, 2005. "Women and Competition in Elimination Tournaments: Evidence from Professional Tennis Data," IZA Discussion Papers 1843, Institute of Labor Economics (IZA).
    14. Livingston, Jeffrey A., 2012. "The hot hand and the cold hand in professional golf," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 172-184.
    15. David W. Lehman & Jungpil Hahn & Rangaraj Ramanujam & Bradley J. Alge, 2011. "The Dynamics of the Performance--Risk Relationship Within a Performance Period: The Moderating Role of Deadline Proximity," Organization Science, INFORMS, vol. 22(6), pages 1613-1630, December.
    16. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.
    17. Sunde, Uwe, 2003. "Potential, Prizes and Performance: Testing Tournament Theory with Professional Tennis Data," IZA Discussion Papers 947, Institute of Labor Economics (IZA).
    18. Jeroen Schokkaert & Johan Swinnen, 2016. "Uncertainty of Outcome Is Higher in the Champions League Than in the European Cup," Journal of Sports Economics, , vol. 17(2), pages 115-147, February.
    19. Julio del Corral, 2009. "Competitive Balance and Match Uncertainty in Grand-Slam Tennis," Journal of Sports Economics, , vol. 10(6), pages 563-581, December.
    20. Kovenock, Dan & Konrad, Kai A., 2006. "Multi-Stage Contests with Stochastic Ability," CEPR Discussion Papers 5844, C.E.P.R. Discussion Papers.
    21. Mixon Jr., Franklin G. & Gómez-Mejia, Luis R., 2020. "The Competitive Struggle to Win Tournaments: The Allies’ Race to Capture Adolf Hitler’s Eagle’s Nest," American Business Review, Pompea College of Business, University of New Haven, vol. 23(1), pages 3-17, May.

  27. Jason Abrevaya, 2002. "Computing Marginal Effects In The Box-Cox Model," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 383-393.

    Cited by:

    1. Jim Engle-Warnick & Sonia Laszlo, 2006. "Learning-by-Doing in an Ambiguous Environment," CIRANO Working Papers 2006s-29, CIRANO.
    2. Bosbach, Moritz & Maietta, Ornella Wanda, 2019. "The Implicit Price for Fair Trade Coffee: Does Social Capital Matter?," Ecological Economics, Elsevier, vol. 158(C), pages 34-41.
    3. Jaume Garcia Villar & María José Suárez, 2021. "The relevance of the specification assumptions when modelling the correlates of physical activity: an analysis across dimensions," Economics Working Papers 1804, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Prince Etwire & David Fielding & Victoria Kahui, 2017. "The impact of climate change on crop production in Ghana: A Structural Ricardian analysis," Working Papers 1706, University of Otago, Department of Economics, revised Apr 2017.
    5. Vanessa E. Daniel & Raymond J.G.M. Florax & Piet Rietveld, 2007. "Flooding Risk And Housing Values: An Economic Assessment Of Environmental Hazard," Working Papers 07-02, Purdue University, College of Agriculture, Department of Agricultural Economics.
    6. Jean‐Paul Chaze, 2005. "Assessing household health expenditure with Box–Cox censoring models," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 893-907, September.
    7. Jaume Garcia-Villar & María José Suarez, 2021. "The Relevance of the Specification Assumptions when Modelling the Correlates of Physical Activity: an Analysis across Dimensions," Working Papers 1296, Barcelona School of Economics.
    8. Stéphane Bonhomme & Ulrich Sauder, 2009. "Accounting for Unobservables in Comparing Selective and Comprehensive Schooling," Working Papers wp2009_0906, CEMFI.
    9. García, Jaume & Suárez, María José, 2023. "The relevance of specification assumptions when analyzing the drivers of physical activity practice," Economic Modelling, Elsevier, vol. 119(C).

  28. Jason Abrevaya, 2001. "The effects of demographics and maternal behavior on the distribution of birth outcomes," Empirical Economics, Springer, vol. 26(1), pages 247-257.

    Cited by:

    1. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc.
    2. RAMDANI, Dendi & VAN WITTELOOSTUIJN, Arjen, 2009. "Board independence, CEO duality and firm performance: A quantile regression analysis for Indonesia, Malaysia, South Korea and Thailand," Working Papers 2009004, University of Antwerp, Faculty of Business and Economics.
    3. Guillaume Carlier & Victor Chernozhukov & Alfred Galichon, 2015. "Vector Quantile Regression," Working Papers hal-01169653, HAL.
    4. Stefan Bache & Christian Dahl & Johannes Kristensen, 2013. "Headlights on tobacco road to low birthweight outcomes," Empirical Economics, Springer, vol. 44(3), pages 1593-1633, June.
    5. Mark D. Agee & Scott E. Atkinson & Thomas D. Crocker, 2008. "Multiple‐Output Child Health Production Functions: The Impact of Time‐Varying and Time‐Invariant Inputs," Southern Economic Journal, John Wiley & Sons, vol. 75(2), pages 410-428, August.
    6. Costa-Font, Montserrat & Costa-Font, Joan, 2009. "Heterogeneous 'adaptation' and 'income effects' across self-reported health distribution?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(4), pages 574-580, August.
    7. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    8. Andrew M. Jones & Ángel López-Nicolás, 2002. "The importance of individual heterogeneity in the decomposition of measures of socioeconomic inequality in health: An approach based on quantile regression," Economics Working Papers 626, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Lavergne, Pascal & Bertail, Patrice, 2020. "Bootstrapping Quasi Likelihood Ratio Tests under Misspecification," TSE Working Papers 20-1102, Toulouse School of Economics (TSE).
    10. Yuya Sasaki & Yulong Wang, 2019. "Fixed-k Inference for Conditional Extremal Quantiles," Papers 1909.00294, arXiv.org, revised Jul 2020.
    11. Nataraj, Shanthi, 2011. "The impact of trade liberalization on productivity: Evidence from India's formal and informal manufacturing sectors," Journal of International Economics, Elsevier, vol. 85(2), pages 292-301.
    12. Victor Chernozhukov & Ivan Fernandez-Val & Tetsuya Kaji, 2017. "Extremal quantile regression: an overview," CeMMAP working papers 65/17, Institute for Fiscal Studies.
    13. Bijan J. Borah & Anirban Basu, 2013. "Highlighting Differences Between Conditional And Unconditional Quantile Regression Approaches Through An Application To Assess Medication Adherence," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1052-1070, September.
    14. Mark D. Agee & Scott E. Atkinson & Thomas D. Crocker, 2009. "Multiple‐Output Child Health Production Functions: The Impact of Time‐Varying and Time‐Invariant Inputs," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 909-927, January.
    15. Stefan Holst Bache & Christian M. Dahl & Johannes Tang, "undated". "Headlights on tobacco road to low birthweight outcomes - Evidence from a battery of quantile regression estimators and a heterogeneous panelCreation-Date: 20080508," CREATES Research Papers 2008-20, Department of Economics and Business Economics, Aarhus University.
    16. Sai Ma & Brian Finch, 2010. "Birth Outcome Measures and Infant Mortality," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(6), pages 865-891, December.
    17. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
    18. Victor Chernozhukov & Iván Fernández-Val & Blaise Melly, 2022. "Fast algorithms for the quantile regression process," Empirical Economics, Springer, vol. 62(1), pages 7-33, January.
    19. David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1316, Department of Economics, University of Missouri.
    20. Victor Chernozhukov, 2005. "Extremal quantile regression," Papers math/0505639, arXiv.org.
    21. Kompal Sinha, 2005. "Household Characteristics and Calorie Intake in Rural India: A Quantile Regression Approach," ASARC Working Papers 2005-02, The Australian National University, Australia South Asia Research Centre.
    22. David M. Kaplan, 2013. "Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.
    23. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers CWP12/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Nastis, Stefanos A. & Crocker, Thomas D., 2012. "Valuing mother and child health: The intrauterine environment," Economics & Human Biology, Elsevier, vol. 10(3), pages 318-328.
    25. Steven G. Xu & Brian J. Reich, 2023. "Bayesian nonparametric quantile process regression and estimation of marginal quantile effects," Biometrics, The International Biometric Society, vol. 79(1), pages 151-164, March.
    26. George L. Wehby & Jeffrey C. Murray & Eduardo E. Castilla & Jorge S. Lopez‐Camelo & Robert L. Ohsfeldt, 2009. "Quantile effects of prenatal care utilization on birth weight in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1307-1321, November.
    27. Chris Herbst & Erdal Tekin, 2011. "Child care subsidies and childhood obesity," Review of Economics of the Household, Springer, vol. 9(3), pages 349-378, September.
    28. Borooah, Vani K., 2005. "The height-for-age of Indian children," Economics & Human Biology, Elsevier, vol. 3(1), pages 45-65, March.
    29. Marilena Furno & Francesco Caracciolo, 2020. "Multi-valued Double Robust quantile treatment effect," Empirical Economics, Springer, vol. 58(5), pages 2545-2571, May.
    30. Difang Huang & Jiti Gao & Tatsushi Oka, 2022. "Semiparametric Single-Index Estimation for Average Treatment Effects," Papers 2206.08503, arXiv.org, revised Apr 2024.
    31. Daniel Kim & Adrianna Saada, 2013. "The Social Determinants of Infant Mortality and Birth Outcomes in Western Developed Nations: A Cross-Country Systematic Review," IJERPH, MDPI, vol. 10(6), pages 1-40, June.
    32. RAMDANI, Dendi & VAN WITTELOOSTUIJN, Arjen, 2009. "Board independence, CEO duality and firm performance: A quantile regression analysis for Indonesia, Malaysia, South Korea and Thailand," ACED Working Papers 2009003, University of Antwerp, Faculty of Business and Economics.
    33. Martina Pons, 2022. "The impact of air pollution on birthweight: evidence from grouped quantile regression," Empirical Economics, Springer, vol. 62(1), pages 279-296, January.
    34. Lautharte, Ildo, 2021. "Babies and Bandidos: Birth outcomes in pacified favelas of Rio de Janeiro," Journal of Health Economics, Elsevier, vol. 77(C).
    35. Hope Corman & Dhaval Dave & Nancy E. Reichman, 2018. "Evolution of the Infant Health Production Function," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 6-47, July.
    36. David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
    37. Maistre, Samuel & Lavergne, Pascal & Patilea, Valentin, 2014. "Powerful nonparametric checks for quantile regression," TSE Working Papers 14-501, Toulouse School of Economics (TSE).
    38. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    39. Wolfgang Frimmel & Gerald J. Pruckner, 2011. "Birth weight and family status revisited: evidence from Austrian register data," Economics working papers 2011-17, Department of Economics, Johannes Kepler University Linz, Austria.
    40. Jingwen Tu & Hu Yang & Chaohui Guo & Jing Lv, 2021. "Model averaging marginal regression for high dimensional conditional quantile prediction," Statistical Papers, Springer, vol. 62(6), pages 2661-2689, December.
    41. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    42. Colin Cannonier, 2009. "State Abstinence Education Programs and Teen Fertility in the U.S," Departmental Working Papers 2009-14, Department of Economics, Louisiana State University.
    43. Colin Cannonier, 2012. "State abstinence education programs and teen birth rates in the US," Review of Economics of the Household, Springer, vol. 10(1), pages 53-75, March.
    44. Sweeney, Stuart & Davenport, Frank & Grace, Kathryn, 2013. "Combining insights from quantile and ordinal regression: Child malnutrition in Guatemala," Economics & Human Biology, Elsevier, vol. 11(2), pages 164-177.
    45. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
    46. Yun Yang & Surya T. Tokdar, 2017. "Joint Estimation of Quantile Planes Over Arbitrary Predictor Spaces," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1107-1120, July.
    47. Aparna Lhila & Sharon Long, 2012. "What is driving the black–white difference in low birthweight in the US?," Health Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 301-315, March.
    48. Norets, Andriy & Pelenis, Justinas, 2012. "Bayesian modeling of joint and conditional distributions," Journal of Econometrics, Elsevier, vol. 168(2), pages 332-346.

  29. Jason Abrevaya, 2000. "Testing for a treatment effect in a heterogeneous population: A modified sign-test statistic and a leapfrog statistic," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 679-687.

    Cited by:

    1. Mullahy, John, 2018. "Individual results may vary: Inequality-probability bounds for some health-outcome treatment effects," Journal of Health Economics, Elsevier, vol. 61(C), pages 151-162.
    2. Jan Hanousek & Evzen Kocenda, 2005. "Learning by Bidding: Evidence from a Large-Scale Natural Experiment," CERGE-EI Working Papers wp247, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    3. John Mullahy, 2017. "Individual Results May Vary: Elementary Analytics of Inequality-Probability Bounds, with Applications to Health-Outcome Treatment Effects," NBER Working Papers 23603, National Bureau of Economic Research, Inc.

  30. Abrevaya, Jason, 2000. "Rank estimation of a generalized fixed-effects regression model," Journal of Econometrics, Elsevier, vol. 95(1), pages 1-23, March.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers CWP33/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Youngki Shin & Zvezdomir Todorov, 2021. "Exact computation of maximum rank correlation estimator," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 589-607.
    3. Yuanyuan Wan & Haiqing Xu, 2013. "Inference in Semiparametric Binary Response Models with Interval Data," Working Papers tecipa-492, University of Toronto, Department of Economics.
    4. Joseph G. Altonji & Rosa L. Matzkin, 2001. "Panel Data Estimators for Nonseparable Models with Endogenous Regressors," NBER Technical Working Papers 0267, National Bureau of Economic Research, Inc.
    5. Fran�ois Laisney & Michael Lechner, 2003. "Almost Consistent Estimation of Panel Probit Models with "Small" Fixed Effects," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 1-28, February.
    6. Marcelo Moreira, 2008. "A Maximum Likelihood Method for the Incidental Parameter Problem," NBER Working Papers 13787, National Bureau of Economic Research, Inc.
    7. Čížek, Pavel & Lei, Jinghua, 2018. "Identification and estimation of nonseparable single-index models in panel data with correlated random effects," Journal of Econometrics, Elsevier, vol. 203(1), pages 113-128.
    8. Jeremy T. Fox, 2007. "Semiparametric estimation of multinomial discrete-choice models using a subset of choices," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 1002-1019, December.
    9. Le-Yu Chen & Sokbae (Simon) Lee, 2015. "Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models," CeMMAP working papers 26/15, Institute for Fiscal Studies.
    10. Patrick Bajari & Jeremy Fox & Stephen Ryan, 2008. "Evaluating wireless carrier consolidation using semiparametric demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 299-338, December.
    11. Steven T. Berry & Philip A. Haile, 2009. "Identification of a Heterogeneous Generalized Regression Model with Group Effects," Cowles Foundation Discussion Papers 1732, Cowles Foundation for Research in Economics, Yale University.
    12. Cizek, P. & Aquaro, M., 2015. "Robust Estimation and Moment Selection in Dynamic Fixed-effects Panel Data Models," Other publications TiSEM 39d0f613-007f-4d21-b1e2-b, Tilburg University, School of Economics and Management.
    13. Michele Aquaro & Pavel Čížek, 2014. "Robust estimation of dynamic fixed-effects panel data models," Statistical Papers, Springer, vol. 55(1), pages 169-186, February.
    14. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    15. Das, M., 2003. "Identification and sequential estimation of panel data models with insufficient exclusion restrictions," Journal of Econometrics, Elsevier, vol. 114(2), pages 297-328, June.
    16. Wayne Yuan Gao & Sheng Xu & Kan Xu, 2020. "Two-Stage Maximum Score Estimator," Papers 2009.02854, arXiv.org, revised Sep 2022.
    17. Jiarui Liu, 2021. "Sequential Search Models: A Pairwise Maximum Rank Approach," Papers 2104.13865, arXiv.org, revised Nov 2021.
    18. Wayne Yuan Gao & Ming Li, 2020. "Robust Semiparametric Estimation in Panel Multinomial Choice Models," Papers 2009.00085, arXiv.org.
    19. Chen, Songnian, 2010. "Root-N-consistent estimation of fixed-effect panel data transformation models with censoring," Journal of Econometrics, Elsevier, vol. 159(1), pages 222-234, November.
    20. Chen, Songnian & Wang, Xi, 2018. "Semiparametric estimation of panel data models without monotonicity or separability," Journal of Econometrics, Elsevier, vol. 206(2), pages 515-530.
    21. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Bryan S. Graham & James Powell, 2008. "Identification and Estimation of 'Irregular' Correlated Random Coefficient Models," NBER Working Papers 14469, National Bureau of Economic Research, Inc.
    23. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.
    24. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    25. Chen, Songnian & Zhang, Hanghui, 2015. "Binary quantile regression with local polynomial smoothing," Journal of Econometrics, Elsevier, vol. 189(1), pages 24-40.
    26. Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Khan, Shakeeb & Tamer, Elie, 2007. "Partial rank estimation of duration models with general forms of censoring," Journal of Econometrics, Elsevier, vol. 136(1), pages 251-280, January.
    28. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.

  31. Jason Abrevaya & Jerry A. Hausman, 1999. "Semiparametric Estimation with Mismeasured Dependent Variables: An Application to Duration Models for Unemployment Spells," Annals of Economics and Statistics, GENES, issue 55-56, pages 243-275.

    Cited by:

    1. Raj Chetty, 2004. "Optimal Unemployment Insurance When Income Effects are Large," NBER Working Papers 10500, National Bureau of Economic Research, Inc.
    2. Rajesh Paleti & Lacramioara Balan, 2019. "Misclassification in travel surveys and implications to choice modeling: application to household auto ownership decisions," Transportation, Springer, vol. 46(4), pages 1467-1485, August.
    3. Mr. Jonathan David Ostry & Mr. Andrew Berg & Mr. Jeromin Zettelmeyer, 2008. "What Makes Growth Sustained?," IMF Working Papers 2008/059, International Monetary Fund.
    4. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Winter, Joachim, 0000. "Bracketing effects in categorized survey questions and the measurement of economic quantities," Sonderforschungsbereich 504 Publications 02-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    6. Dennis Fok & Richard Paap & Bram Van Dijk, 2012. "A Rank‐Ordered Logit Model With Unobserved Heterogeneity In Ranking Capabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 831-846, August.
    7. Ian McCarthy & Sean Shenghsiu Huang, 2018. "Vertical Alignment Between Hospitals and Physicians as a Bargaining Response to Commercial Insurance Markets," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(1), pages 7-29, August.
    8. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
    9. Dustmann, C. & van Soest, A.H.O., 2004. "An analysis of speaking fluency of immigrants using ordered response models with classification errors," Other publications TiSEM 48f7dd4a-ce90-4b0b-b71d-c, Tilburg University, School of Economics and Management.
    10. Esmeralda Ramalho, 2004. "Binary models with misclassification in the variable of interest," Economics Working Papers 3_2004, University of Évora, Department of Economics (Portugal).
    11. Charles Bellemare, 2004. "Identification and Estimation of the Economic Performance of Outmigrants using Panel Attrition," Cahiers de recherche 0429, CIRPEE.
    12. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2014. "Modelling Heaped Duration Data: An Application to Neonatal Mortality," CAGE Online Working Paper Series 207, Competitive Advantage in the Global Economy (CAGE).
    13. Bernard L. Fraga, 2016. "Candidates or Districts? Reevaluating the Role of Race in Voter Turnout," American Journal of Political Science, John Wiley & Sons, vol. 60(1), pages 97-122, January.
    14. Christoph Breunig & Stephan Martin, 2020. "Nonclassical Measurement Error in the Outcome Variable," Papers 2009.12665, arXiv.org, revised May 2021.
    15. Leonard Goff, 2022. "Causal identification with subjective outcomes," Papers 2212.14622, arXiv.org, revised Feb 2023.
    16. Patrick Roy, 2013. "Is There a Difference Between Solicited and Unsolicited Bank Ratings and, If So, Why?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 53-86, August.
    17. Sean Murphy & Robert Rosenman & Jon Yoder & Dan Firesner, 2008. "Patients' Perceptions and Treatment Effectiveness," Working Papers 2008-19, School of Economic Sciences, Washington State University.
    18. Portugal-Perez, Alberto, 2009. "Assessing the impact of political economy factors on rules of origin under NAFTA," Policy Research Working Paper Series 4848, The World Bank.
    19. Sarah Brown & Mark N. Harris & Preety Srivastava & Karl Taylor, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ - 12," Working Papers 2018013, The University of Sheffield, Department of Economics.
    20. John C. Ham & Xianghong Li & Lara D. Shore-Sheppard, 2016. "The Employment Dynamics of Disadvantaged Women: Evidence from the SIPP," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 899-944.
    21. Cheng Chou & Ruoyao Shi, 2021. "What time use surveys can (and cannot) tell us about labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 917-937, November.
    22. Bruce Meyer & Nikolas Mittag, 2013. "Misclassification In Binary Choice Models," Working Papers 13-27, Center for Economic Studies, U.S. Census Bureau.
    23. Dustmann, C. & van Soest, A.H.O., 1999. "Parametric and Semiparametric Estimation in Models with Misclassified Categorical Dependent Variables," Other publications TiSEM dfb6b8e3-5319-47c7-a998-9, Tilburg University, School of Economics and Management.
    24. Maria Felice Arezzo & Giuseppina Guagnano, 2019. "Misclassification in Binary Choice Models with Sample Selection," Econometrics, MDPI, vol. 7(3), pages 1-19, July.
    25. Arrieta, Alejandro, 2007. "A Structural Misclassifcation Model to Estimate the Impact of Physician Incentives on Healthcare Utilization," MPRA Paper 6718, University Library of Munich, Germany.
    26. Scott Stern, 1999. "Do Scientists Pay to Be Scientists?," NBER Working Papers 7410, National Bureau of Economic Research, Inc.
    27. Molinari, Francesca, 2005. "Partial Identification of Probability Distributions with Misclassified Data," Working Papers 05-10, Cornell University, Center for Analytic Economics.
    28. William Greene & Mark N. Harris & Preety Srivastava & Xueyan Zhao, 2018. "Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 372-389, February.
    29. Ramalho, Esmeralda A., 2002. "Regression models for choice-based samples with misclassification in the response variable," Journal of Econometrics, Elsevier, vol. 106(1), pages 171-201, January.
    30. Nicole Coomer & Walter Wessels, 2013. "The Effect of the Minimum Wage on Covered Teenage Employment," Journal of Labor Research, Springer, vol. 34(3), pages 253-280, September.
    31. Scott Stern, 2004. "Do Scientists Pay to Be Scientists?," Management Science, INFORMS, vol. 50(6), pages 835-853, June.
    32. Patrick Van Roy, 2005. "Is there a difference in treatment between solicited and unsolicited bank ratings and, if so, why?," Finance 0509012, University Library of Munich, Germany.
    33. Aprajit Mahajan, 2006. "Identification and Estimation of Regression Models with Misclassification," Econometrica, Econometric Society, vol. 74(3), pages 631-665, May.
    34. Kajitani, Shinya, 2015. "Which is worse for your long-term health, a white-collar or a blue-collar job?," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 228-243.
    35. Montezuma Dumangane, 2006. "Measurement Error Bias Reduction in Unemployment Durations," CeMMAP working papers CWP03/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    37. Gutknecht, Daniel, 2011. "Nonclassical Measurement Error in a Nonlinear (Duration) Model," Economic Research Papers 270763, University of Warwick - Department of Economics.
    38. Bellemare, C., 2003. "Economic Assimilation and Outmigration of Immigrants in West-Germany," Discussion Paper 2003-65, Tilburg University, Center for Economic Research.
    39. Brantly Callaway & Tong Li & Irina Murtazashvili, 2021. "Nonlinear Approaches to Intergenerational Income Mobility allowing for Measurement Error," Papers 2107.09235, arXiv.org, revised Dec 2021.
    40. Bellemare, C., 2003. "Economic Assimilation and Outmigration of Immigrants in West-Germany," Other publications TiSEM 345b53a4-5ce7-48a4-ac84-7, Tilburg University, School of Economics and Management.

  32. Abrevaya, Jason, 1999. "Rank regression for current-status data: asymptotic normality," Statistics & Probability Letters, Elsevier, vol. 43(3), pages 275-287, July.

    Cited by:

    1. Shuangge Ma & Jian Huang, 2007. "Combining Multiple Markers for Classification Using ROC," Biometrics, The International Biometric Society, vol. 63(3), pages 751-757, September.
    2. Toshio Honda, 2004. "Nonparametric regression with current status data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 56(1), pages 49-72, March.
    3. Gutknecht, Daniel, 2011. "Nonclassical Measurement Error in a Nonlinear (Duration) Model," Economic Research Papers 270763, University of Warwick - Department of Economics.
    4. Abrevaya, Jason, 1999. "Leapfrog estimation of a fixed-effects model with unknown transformation of the dependent variable," Journal of Econometrics, Elsevier, vol. 93(2), pages 203-228, December.

  33. Jason Abrevaya, 1999. "Rank estimation of a transformation model with observed truncation," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 292-305.

    Cited by:

    1. Čížek, Pavel & Lei, Jinghua, 2018. "Identification and estimation of nonseparable single-index models in panel data with correlated random effects," Journal of Econometrics, Elsevier, vol. 203(1), pages 113-128.
    2. Subbotin, Viktor, 2008. "Essays on the econometric theory of rank regressions," MPRA Paper 14086, University Library of Munich, Germany.
    3. Sule Alan & Bo E. Honore & Luojia Hu & Soren Leth-Petersen, 2011. "Estimation of panel data regression models with two-sided censoring or truncation," Working Paper Series WP-2011-08, Federal Reserve Bank of Chicago.
    4. Shinya Sugawara, 2013. "An Interval Regression Analysis for Tenures of Japanese Elder Care Workers Using Matched Employer-Employee Data," CIRJE F-Series CIRJE-F-887, CIRJE, Faculty of Economics, University of Tokyo.
    5. Chen, Songnian & Zhou, Xianbo, 2012. "Semiparametric estimation of a truncated regression model," Journal of Econometrics, Elsevier, vol. 167(2), pages 297-304.
    6. Lin, Yingqian & Tu, Yundong & Yao, Qiwei, 2020. "Estimation for double-nonlinear cointegration," LSE Research Online Documents on Economics 103830, London School of Economics and Political Science, LSE Library.
    7. Subbotin, Viktor, 2007. "Asymptotic and bootstrap properties of rank regressions," MPRA Paper 9030, University Library of Munich, Germany, revised 20 Mar 2008.
    8. Lin, Yingqian & Tu, Yundong & Yao, Qiwei, 2020. "Estimation for double-nonlinear cointegration," Journal of Econometrics, Elsevier, vol. 216(1), pages 175-191.
    9. Khan, Shakeeb & Tamer, Elie, 2007. "Partial rank estimation of duration models with general forms of censoring," Journal of Econometrics, Elsevier, vol. 136(1), pages 251-280, January.
    10. Liu, Tianqing & Yuan, Xiaohui & Sun, Jianguo, 2021. "Weighted rank estimation for nonparametric transformation models with nonignorable missing data," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).

  34. Abrevaya, Jason, 1999. "Leapfrog estimation of a fixed-effects model with unknown transformation of the dependent variable," Journal of Econometrics, Elsevier, vol. 93(2), pages 203-228, December.

    Cited by:

    1. Shakeeb Khan & Xiaoying Lan & Elie Tamer & Qingsong Yao, 2021. "Estimating High Dimensional Monotone Index Models by Iterative Convex Optimization1," Papers 2110.04388, arXiv.org, revised Feb 2023.
    2. Bo Honore & Ekaterini Kyriazidou & J. L. Powell, 2000. "Estimation of tobit-type models with individual specific effects," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 341-366.
    3. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
    4. Bo E. Honor'e & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Papers 2005.05942, arXiv.org, revised Dec 2023.
    5. Čížek, Pavel & Lei, Jinghua, 2018. "Identification and estimation of nonseparable single-index models in panel data with correlated random effects," Journal of Econometrics, Elsevier, vol. 203(1), pages 113-128.
    6. Frederiksen, Anders & Honore, Bo E. & Hu, Luojia, 2007. "Discrete time duration models with group-level heterogeneity," Journal of Econometrics, Elsevier, vol. 141(2), pages 1014-1043, December.
    7. Le-Yu Chen & Sokbae (Simon) Lee, 2015. "Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models," CeMMAP working papers 26/15, Institute for Fiscal Studies.
    8. Jia Chen & Jiti Gao & Degui Li, 2011. "Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions," Monash Econometrics and Business Statistics Working Papers 12/11, Monash University, Department of Econometrics and Business Statistics.
    9. Chen, Songnian, 2010. "An integrated maximum score estimator for a generalized censored quantile regression model," Journal of Econometrics, Elsevier, vol. 155(1), pages 90-98, March.
    10. Subbotin, Viktor, 2008. "Essays on the econometric theory of rank regressions," MPRA Paper 14086, University Library of Munich, Germany.
    11. Liangjun Su & Zhenlin Yang, 2009. "Asymptotics and Bootstrap for Transformed Panel Data Regressions," Working Papers 03-2009, Singapore Management University, School of Economics.
    12. Yu, Tao & Li, Pengfei & Chen, Baojiang & Yuan, Ao & Qin, Jing, 2023. "Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model," Journal of Econometrics, Elsevier, vol. 235(2), pages 454-469.
    13. Yankuo Qiao, 2023. "To delegate or not to delegate? On the quality of voluntary corporate financial disclosure," Review of Managerial Science, Springer, vol. 17(7), pages 2215-2250, October.
    14. Chen, Songnian, 2010. "Root-N-consistent estimation of fixed-effect panel data transformation models with censoring," Journal of Econometrics, Elsevier, vol. 159(1), pages 222-234, November.
    15. Bo E. Honoré & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," CeMMAP working papers CWP38/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    17. Ishihara, Takuya, 2020. "Identification and estimation of time-varying nonseparable panel data models without stayers," Journal of Econometrics, Elsevier, vol. 215(1), pages 184-208.
    18. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Bo E. Honore & Luojia Hu, 2015. "Simpler Bootstrap Estimation of the Asymptotic Variance of U-statistic Based Estimators," Working Paper Series WP-2015-7, Federal Reserve Bank of Chicago.
    20. Zhou, Yahong, 2008. "Semiparametric estimation of a nonstationary panel data transformation model under symmetry," Economics Letters, Elsevier, vol. 99(1), pages 107-110, April.
    21. Subbotin, Viktor, 2007. "Asymptotic and bootstrap properties of rank regressions," MPRA Paper 9030, University Library of Munich, Germany, revised 20 Mar 2008.
    22. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Shakeeb Khan & Elie Tamer, 2002. "Pairwise Comparison Estimation of Censored Transformation Models," RCER Working Papers 495, University of Rochester - Center for Economic Research (RCER).
    24. Bo E. Honoré & Martin Weidner, 2021. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Working Papers 2021-79, Princeton University. Economics Department..
    25. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.
    26. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    27. Ariel Pakes & Jack Porter, 2016. "Moment Inequalities for Multinomial Choice with Fixed Effects," NBER Working Papers 21893, National Bureau of Economic Research, Inc.
    28. Federico Belotti & Giuseppe Ilardi, 2012. "Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model," CEIS Research Paper 231, Tor Vergata University, CEIS, revised 18 Apr 2012.
    29. Abrevaya, Jason, 2000. "Rank estimation of a generalized fixed-effects regression model," Journal of Econometrics, Elsevier, vol. 95(1), pages 1-23, March.
    30. Khan, Shakeeb & Tamer, Elie, 2007. "Partial rank estimation of duration models with general forms of censoring," Journal of Econometrics, Elsevier, vol. 136(1), pages 251-280, January.

  35. Abrevaya, Jason, 1999. "Computation of the maximum rank correlation estimator," Economics Letters, Elsevier, vol. 62(3), pages 279-285, March.

    Cited by:

    1. Youngki Shin & Zvezdomir Todorov, 2021. "Exact computation of maximum rank correlation estimator," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 589-607.
    2. Subbotin, Viktor, 2008. "Essays on the econometric theory of rank regressions," MPRA Paper 14086, University Library of Munich, Germany.
    3. Alfio Marazzi & Marina Valdora & Victor Yohai & Michael Amiguet, 2019. "A robust conditional maximum likelihood estimator for generalized linear models with a dispersion parameter," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 223-241, March.
    4. Yu, Tao & Li, Pengfei & Chen, Baojiang & Yuan, Ao & Qin, Jing, 2023. "Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model," Journal of Econometrics, Elsevier, vol. 235(2), pages 454-469.
    5. Wojciech Niemiro & Wojciech Rejchel, 2009. "Rank correlation estimators and their limiting distributions," Statistical Papers, Springer, vol. 50(4), pages 887-893, August.
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    3. Diego Amador, 2017. "The Consequences of Abortion and Contraception Policies on Young Women’s Reproductive Choices, Schooling and Labor Supply," Documentos CEDE 15635, Universidad de los Andes, Facultad de Economía, CEDE.
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