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Jesus M. Carro

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. Pedro Mira & Jesús M. Carro, 2006. "A dynamic model of contraceptive choice of Spanish couples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 955-980.

    Mentioned in:

    1. A dynamic model of contraceptive choice of Spanish couples (Journal of Applied Econometrics 2006) in ReplicationWiki ()

Working papers

  1. Victor Aguirregabiria & Jesus M. Carro, 2021. "Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models," Papers 2107.06141, arXiv.org, revised Jul 2024.

    Cited by:

    1. Christopher Dobronyi & Jiaying Gu & Kyoo il Kim & Thomas M. Russell, 2021. "Identification of Dynamic Panel Logit Models with Fixed Effects," Papers 2104.04590, arXiv.org, revised Dec 2024.
    2. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    3. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    4. 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.
    5. Laurent Davezies & Xavier D'Haultf{oe}uille & Louise Laage, 2021. "Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models," Papers 2105.00879, arXiv.org, revised Dec 2024.
    6. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.
    7. 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.
    8. Irene Botosaru & Isaac Loh & Chris Muris, 2024. "An Adversarial Approach to Identification," Papers 2411.04239, arXiv.org, revised Dec 2024.
    9. St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
    10. 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 Jul 2024.
    11. Geert Dhaene & Martin Weidner, 2023. "Approximate Functional Differencing," Papers 2301.13736, arXiv.org, revised May 2023.
    12. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  2. Albarrán, Pedro, 2020. "Using Stata to estimate dynamic correlated random effectsprobit models with unbalanced panels," UC3M Working papers. Economics 30116, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Corradini, Carlo & D'Ippolito, Beatrice, 2022. "Persistence and learning effects in design innovation: Evidence from panel data," Research Policy, Elsevier, vol. 51(2).

  3. Albarrán, Pedro, 2015. "Estimation of Dynamic Nonlinear Random Effects Models with Unbalanced Panels," UC3M Working papers. Economics we1503, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. David Loschiavo & Federico Tullio & Antonietta di Salvatore, 2024. "Measuring households' financial fragilities: an analysis at the intersection of income, financial wealth and debt," Temi di discussione (Economic working papers) 1452, Bank of Italy, Economic Research and International Relations Area.
    2. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A Dynamic Ordered Logit Model with Fixed Effects," Department of Economics Working Papers 2020-14, McMaster University.
    3. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    4. Beusch, Elisabeth & Van Soest, Arthur, 2020. "A dynamic multinomial model of self-employment in the Netherlands," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 5-32.
    5. Georgios Marios Chrysanthou, 2021. "A Multiple Cohort Study of the Gender Gradient of Life Satisfaction during Adolescence: Longitudinal Evidence from Great Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1341-1376, December.
    6. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    7. Taylor, Karl & Bhadury, Soumya & Binner, Jane & Mandal, Anandadeep, 2024. "Business Cycle Turning Points and Local Labour Markets," IZA Discussion Papers 17153, Institute of Labor Economics (IZA).
    8. Chrysanthou, Georgios Marios & Guilló, María Dolores, 2018. "The dynamics of political party support and egocentric economic evaluations: The Scottish case," European Journal of Political Economy, Elsevier, vol. 52(C), pages 192-213.
    9. Kern, Andreas & Nosrati, Elias & Reinsberg, Bernhard & Sevinc, Dilek, 2023. "Crash for cash: Offshore financial destinations and IMF programs," European Journal of Political Economy, Elsevier, vol. 78(C).
    10. Chiara Mussida & Dario Sciulli, 2022. "The dynamics of poverty in Europe: what has changed after the great recession?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 915-937, December.
    11. Albarrán, Pedro, 2020. "Using Stata to estimate dynamic correlated random effectsprobit models with unbalanced panels," UC3M Working papers. Economics 30116, Universidad Carlos III de Madrid. Departamento de Economía.
    12. Chrysanthou, Georgios Marios & Guilló, María Dolores, 2016. "The Dynamics of Heterogeneous Political Party Support and Egocentric Economic Evaluations: the Scottish Case," QM&ET Working Papers 16-3, University of Alicante, D. Quantitative Methods and Economic Theory.

  4. Machado, Matilde & Carro, Jesus & Mora, Ricardo, 2014. "Transmission of preferences and beliefs about female labor market participation: direct evidence on the role of mothers," CEPR Discussion Papers 10218, C.E.P.R. Discussion Papers.

    Cited by:

    1. Mine Durman-Aslan, 2020. "Female Labor Force Participation in Turkey: The Role of the Intergenerational Links," Post-Print halshs-02900982, HAL.
    2. Mine Durmaz-Aslan, 2020. "Female Labor Force Participation in Turkey: The Role of the Intergenerational Links," Documents de travail du Centre d'Economie de la Sorbonne 20013, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Mine Durman-Aslan, 2020. "Female Labor Force Participation in Turkey: The Role of the Intergenerational Links," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02900982, HAL.

  5. Carro, Jesus & Anghel, Brindusa, 2012. "Evaluating a bilingual education program in Spain: the impact beyond foreign language learning," CEPR Discussion Papers 8995, C.E.P.R. Discussion Papers.

    Cited by:

    1. Lorenzo Cappellari & Antonio Di Paolo, 2015. "Bilingual Schooling and Earnings: Evidence from a Language-in-Education Reform," Working Papers XREAP2015-03, Xarxa de Referència en Economia Aplicada (XREAP), revised Sep 2015.
    2. Gortázar, Lucas & Mayor, David & Montalbán, José, 2020. "School Choice Priorities and School Segregation: Evidence from Madrid," Working Paper Series 1/2020, Stockholm University, Swedish Institute for Social Research, revised 20 May 2020.
    3. Martinez de Lafuente, David, 2021. "Cultural Assimilation and Ethnic Discrimination: An Audit Study with Schools," Labour Economics, Elsevier, vol. 72(C).
    4. Bernhofer, Juliana & Tonin, Mirco, 2022. "The effect of the language of instruction on academic performance," Labour Economics, Elsevier, vol. 78(C).
    5. Arco-Tirado, J.L. & Fernández-Martín, F. & Ramos-García, A.M. & Littvay, L. & Villoria, J. & Naranjo, J.A., 2018. "A counterfactual impact evaluation of a bilingual program on students’ grade point average at a spanish university," Evaluation and Program Planning, Elsevier, vol. 68(C), pages 81-89.

  6. Browning, Martin, 2011. "The identification of a mixture of first order binary Markov Chains," UC3M Working papers. Economics we1117, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Martin Browning & Jesus M. Carro, 2009. "Dynamic binary outcome models with maximal heterogeneity," Economics Series Working Papers 426, University of Oxford, Department of Economics.
    2. Saptorshee Kanto Chakraborty & Massimiliano Mazzanti, 2021. "Revisiting the literature on the dynamic Environmental Kuznets Curves using a latent structure approach," SEEDS Working Papers 0521, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2021.
    3. Jesús M. Carro & Elizaveta Pronkina, 2022. "The heterogeneous effects of the great recession on informal care to the elderly," International Journal of Health Economics and Management, Springer, vol. 22(4), pages 355-367, December.

  7. Traferri, Alejandra, 2011. "State dependence and heterogeneity in health using a bias corrected fixed effects estimator," UC3M Working papers. Economics we1118, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. DHAENE, Geert & JOCHMANS, Koen, 2010. "Split-panel jackknife estimation of fixed-effect models," LIDAM Discussion Papers CORE 2010003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2022. "Testing for state dependence in the fixed-effects ordered logit model," MPRA Paper 113890, University Library of Munich, Germany.
    3. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A Dynamic Ordered Logit Model with Fixed Effects," Department of Economics Working Papers 2020-14, McMaster University.
    4. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    5. William H. Greene & Mark N. Harris & Bruce Hollingsworth, 2015. "Inflated Responses in Measures of Self-Assessed Health," American Journal of Health Economics, MIT Press, vol. 1(4), pages 461-493, Fall.
    6. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    7. Albarrán, Pedro, 2015. "Estimation of Dynamic Nonlinear Random Effects Models with Unbalanced Panels," UC3M Working papers. Economics we1503, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    9. Chappell, Henry W. & McGregor, Rob Roy, 2018. "Committee decision-making at Sweden's Riksbank," European Journal of Political Economy, Elsevier, vol. 53(C), pages 120-133.
    10. Greene, William & Harris, Mark N. & Knott, Rachel & Rice, Nigel, 2023. "Reporting heterogeneity in modeling self-assessed survey outcomes," Economic Modelling, Elsevier, vol. 124(C).
    11. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2013. "Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income," IZA Discussion Papers 7651, Institute of Labor Economics (IZA).
    12. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2017. "Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments," Economics & Human Biology, Elsevier, vol. 25(C), pages 85-98.
    13. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2021. "Predicting individual effects in fixed effects panel probit models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1109-1145, July.
    14. Pigini, Claudia & Presbitero, Andrea F. & Zazzaro, Alberto, 2016. "State dependence in access to credit," Journal of Financial Stability, Elsevier, vol. 27(C), pages 17-34.
    15. Bartolucci, Francesco & Pigini, Claudia, 2017. "Granger causality in dynamic binary short panel data models," MPRA Paper 77486, University Library of Munich, Germany.
    16. Stephen Hoskins & David W. Johnston & Johannes S. Kunz & Michael A. Shields & Kevin E. Staub, 2024. "Heterogeneity in the Persistence of Health: Evidence from a Monthly Micro Panel," Papers 2024-06, Centre for Health Economics, Monash University.
    17. Cubi-Molla, P. & Jofre-Bonet, M. & Serra-Sastre, V., 2013. "Adaptation to Health States: A Micro-Econometric Approach," Working Papers 13/02, Department of Economics, City University London.
    18. Chaudhuri, Kausik & Reilly, Kevin T. & Spencer, David A., 2015. "Job satisfaction, age and tenure: A generalized dynamic random effects model," Economics Letters, Elsevier, vol. 130(C), pages 13-16.

  8. Traferri, Alejandra, 2009. "Correcting the bias in the estimation of a dynamic ordered probit with fixed effects of self-assessed health status," UC3M Working papers. Economics we094021, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Timothy Halliday, 2011. "Health Inequality over the Life-Cycle," Working Papers 201108, University of Hawaii at Manoa, Department of Economics.
    2. Kim, Bokyung & Jeong, Jinook, 2017. "Dynamics of adolescents’ life satisfaction and effect of class rank percentile: Evidence from Korean panel data," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 8-28.
    3. Orcun Kaya, 2014. "Is perceived financial inadequacy persistent?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 636-654, December.

  9. Browning, Martin, 2009. "Dynamic binary outcome models with maximal heterogeneity," UC3M Working papers. Economics we091710, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    2. Rui Castro & Fabian Lange & Markus Poschke, 2024. "Labor Force Transitions," NBER Working Papers 33200, National Bureau of Economic Research, Inc.
    3. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    4. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    5. Plum, Alexander & Ayllón, Sara, 2015. "Heterogeneity in unemployment state dependence," Economics Letters, Elsevier, vol. 136(C), pages 85-87.
    6. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," CEPR Discussion Papers 12930, C.E.P.R. Discussion Papers.
    7. Martin Browning & Jesus M. Carro, 2013. "The Identification of a Mixture of First-Order Binary Markov Chains," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 455-459, June.
    8. M. Hashem Pesaran & Liying Yang, 2024. "Heterogeneous autoregressions in short T panel data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1359-1378, November.
    9. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2021. "Predicting individual effects in fixed effects panel probit models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1109-1145, July.
    10. Daniel Czarnowske, 2022. "A Classifier-Lasso Approach for Estimating Production Functions with Latent Group Structures," Papers 2203.02220, arXiv.org.
    11. Mr. Ippei Shibata, 2019. "Labor Market Dynamics: A Hidden Markov Approach," IMF Working Papers 2019/282, International Monetary Fund.
    12. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.
    13. Higgins, Ayden & Jochmans, Koen, 2021. "Identification Of Mixtures Of Dynamic Discrete Choices," TSE Working Papers 21-1272, Toulouse School of Economics (TSE), revised Jan 2023.
    14. Bester, C. Alan & Hansen, Christian B., 2016. "Grouped effects estimators in fixed effects models," Journal of Econometrics, Elsevier, vol. 190(1), pages 197-208.
    15. Katerina Chrysikou & George Kapetanios, 2024. "Heterogeneous Grouping Structures in Panel Data," Papers 2407.19509, arXiv.org.
    16. Jesús M. Carro & Elizaveta Pronkina, 2022. "The heterogeneous effects of the great recession on informal care to the elderly," International Journal of Health Economics and Management, Springer, vol. 22(4), pages 355-367, December.
    17. Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.

  10. Martin Browning & Jesus Carro, 2006. "Heterogeneity in dynamic discrete choice models," Economics Series Working Papers 287, University of Oxford, Department of Economics.

    Cited by:

    1. Martin Browning & Jesus M. Carro, 2009. "Dynamic binary outcome models with maximal heterogeneity," Economics Series Working Papers 426, University of Oxford, Department of Economics.
    2. Pauline Givord & Lionel Wilner, 2015. "When Does the Stepping‐Stone Work? Fixed‐Term Contracts Versus Temporary Agency Work in Changing Economic Conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 787-805, August.
    3. Tue Gorgens & Dean Hyslop, 2016. "The specification of dynamic discrete-time two-state panel data models," ANU Working Papers in Economics and Econometrics 2016-631, Australian National University, College of Business and Economics, School of Economics.
    4. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    5. Stefan Hochguertel & Henry Ohlsson, 2011. "Wealth mobility and dynamics over entire individual working life cycles," BCL working papers 56, Central Bank of Luxembourg.
    6. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," CEPR Discussion Papers 12930, C.E.P.R. Discussion Papers.
    7. Arthur Lewbel, 2006. "Modeling Heterogeneity," Boston College Working Papers in Economics 650, Boston College Department of Economics.
    8. Biørn, Erik & Bjørnsen, Hild-Marte, 2013. "What Motivates Farm Couples to Seek Off-farm Labour? A Logit Analysis of Job Transitions," Memorandum 09/2013, Oslo University, Department of Economics.
    9. Vladislav Morozov, 2022. "Inference on Extreme Quantiles of Unobserved Individual Heterogeneity," Papers 2210.08524, arXiv.org, revised Jun 2023.
    10. Julian Hinz & Amrei Stammann & Joschka Wanner, 2020. "State Dependence and Unobserved Heterogeneity in the Extensive Margin of Trade," Papers 2004.12655, arXiv.org, revised Jul 2021.
    11. Adriano Zanin Zambom & Seonjin Kim & Nancy Lopes Garcia, 2022. "Variable length Markov chain with exogenous covariates," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 312-328, March.
    12. Pauline Givord & Lionel Wilner, 2014. "When Does the Stepping‐Stone Work? Fixed‐Term Contracts Versus Temporary Agency Work in Changing Economic Conditions," Post-Print hal-04799379, HAL.
    13. Jesús M. Carro & Elizaveta Pronkina, 2022. "The heterogeneous effects of the great recession on informal care to the elderly," International Journal of Health Economics and Management, Springer, vol. 22(4), pages 355-367, December.
    14. Fabio Berton & Francesco Devicienti & Lia Pacelli, 2011. "Are temporary jobs a port of entry into permanent employment?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(8), pages 879-899, November.

  11. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.

    Cited by:

    1. Martin Browning & Jesus M. Carro, 2009. "Dynamic binary outcome models with maximal heterogeneity," Economics Series Working Papers 426, University of Oxford, Department of Economics.
    2. Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers 66/13, Institute for Fiscal Studies.
    3. Ralph Stinebrickner & Todd R. Stinebrickner, 2013. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," NBER Working Papers 19165, National Bureau of Economic Research, Inc.
    4. DHAENE, Geert & JOCHMANS, Koen, 2010. "Split-panel jackknife estimation of fixed-effect models," LIDAM Discussion Papers CORE 2010003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Peter C.B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Cowles Foundation Discussion Papers 1595, Cowles Foundation for Research in Economics, Yale University.
    6. Arthur Lewbel & Krishna Pendakur, 2017. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1100-1148.
    7. Hovhannisyan, Vardges & Urutyan, Vardan, 2017. "A Structural Model of Pre-committed Demand: The Case of Food Demand in China," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258200, Agricultural and Applied Economics Association.
    8. M. Dolores Collado & Martín Browning, 2006. "Habits And Heterogeneity In Demands: A Panel Data Analysis," Working Papers. Serie AD 2006-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    10. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    11. Stefan Hochguertel & Henry Ohlsson, 2011. "Wealth mobility and dynamics over entire individual working life cycles," BCL working papers 56, Central Bank of Luxembourg.
    12. Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2019. "Uncertainty about future income: Initial beliefs and resolution during college," Quantitative Economics, Econometric Society, vol. 10(2), pages 607-641, May.
    13. Martin Browning & Jesus M. Carro, 2013. "The Identification of a Mixture of First-Order Binary Markov Chains," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 455-459, June.
    14. 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.
    15. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2009. "Identification and estimation of marginal effects in nonlinear panel models," CeMMAP working papers CWP05/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Fischer, Gregory & Berry, James & Guiteras, Raymond, 2012. "Eliciting and utilizing willingness to pay: evidence from field trials in Northern Ghana," LSE Research Online Documents on Economics 47913, London School of Economics and Political Science, LSE Library.
    17. Ryo Okui & Wendun Wang, 2018. "Heterogeneous structural breaks in panel data models," Papers 1801.04672, arXiv.org, revised Nov 2018.
    18. Mendis, Sachintha & Hovhannisyan, Vardges, 2017. "Assessing Provincial-Level Demand For Food Quantity And Quality In China: An Easi Demand System Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252797, Southern Agricultural Economics Association.
    19. Lin Chang-Ching & Ng Serena, 2012. "Estimation of Panel Data Models with Parameter Heterogeneity when Group Membership is Unknown," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 42-55, August.
    20. Valentin Verdier, 2020. "Average treatment effects for stayers with correlated random coefficient models of panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 917-939, November.
    21. Helmers, Christian & Patnam, Manasa, 2011. "The formation and evolution of childhood skill acquisition: Evidence from India," Journal of Development Economics, Elsevier, vol. 95(2), pages 252-266, July.
    22. Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
    23. Hiroyuki Kasahara & Katsumi Shimotsu, 2006. "Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices," University of Western Ontario, Departmental Research Report Series 20065, University of Western Ontario, Department of Economics.
    24. Gao, Yichen & Li, Cong & Liang, Zhongwen, 2015. "Binary response correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 421-434.
    25. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2018. "An Empirical Analysis of Pre-Determined Food Demand in Russia," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266579, Southern Agricultural Economics Association.
    26. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
    27. Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.
    28. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2017. "Quantifying the Structure of Food Demand in Russia Using Provincial-Level Panel Data on Food Consumption," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259124, Agricultural and Applied Economics Association.

  12. Jesús M. Carro, 2003. "Estimating Dynamic Panel Data Discrete Choice Models with Fixed Effects," Working Papers wp2003_0304, CEMFI.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    3. Vahagn Galstyan, 2007. "How Persistent are International Capital Flows?," The Institute for International Integration Studies Discussion Paper Series iiisdp232, IIIS.
    4. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Rasheda Khanam & Hong Son Nghiem & Luke Brian Connelly, 2014. "What Roles Do Contemporaneous And Cumulative Incomes Play In The Income–Child Health Gradient For Young Children? Evidence From An Australian Panel," Health Economics, John Wiley & Sons, Ltd., vol. 23(8), pages 879-893, August.
    6. Xiaoming Li, 2011. "Fixed Effects Estimation in Panel Nonlinear Fractional Response Models," Working papers 2011-11, University of Connecticut, Department of Economics.
    7. Michel Berthélemy & Petyo Bonev & Damien Dussaux & Magnus Söderberg, 2018. "Methods for strengthening a weak instrument in the case of a persistent treatment," Post-Print hal-01829558, HAL.
    8. DHAENE, Geert & JOCHMANS, Koen, 2010. "Split-panel jackknife estimation of fixed-effect models," LIDAM Discussion Papers CORE 2010003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Candelon, B. & Dumitrescu, E-I. & Hurlin, C., 2010. "Currency crises early warning systems: why they should be dynamic," Research Memorandum 047, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    10. Traferri, Alejandra, 2011. "State dependence and heterogeneity in health using a bias corrected fixed effects estimator," UC3M Working papers. Economics we1118, Universidad Carlos III de Madrid. Departamento de Economía.
    11. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    12. Manuel Arellano & Stéphane Bonhomme, 2007. "Robust priors in nonlinear panel data models," CeMMAP working papers CWP07/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A Dynamic Ordered Logit Model with Fixed Effects," Department of Economics Working Papers 2020-14, McMaster University.
    14. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    15. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    16. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    17. Bo E. Honor√ & Daniel Kaufmann & Sarah Lein, 2012. "Asymmetries in Price-Setting Behavior: New Microeconometric Evidence from Switzerland," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 211-236, December.
    18. Matteo Richiardi & Ambra Poggi, 2012. "Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method," Carlo Alberto Notebooks 267, Collegio Carlo Alberto.
    19. Albarrán, Pedro, 2015. "Estimation of Dynamic Nonlinear Random Effects Models with Unbalanced Panels," UC3M Working papers. Economics we1503, Universidad Carlos III de Madrid. Departamento de Economía.
    20. Yoshitsugu Kitazawa, 2017. "DFEL-RTN, a set of TSP programs for root-N consistent estimations of dynamic fixed effects logit models," Discussion Papers 81, Kyushu Sangyo University, Faculty of Economics.
    21. Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.
    22. Laura Hospido, 2011. "Estimating non-linear models with multiple fixed effects:a computational note," Working Papers 1114, Banco de España.
    23. Francesco Bartolucci & Valentina Nigro & Claudia Pigini, 2018. "Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model," Econometric Reviews, Taylor & Francis Journals, vol. 37(1), pages 61-88, January.
    24. Al-Sadoon, Majid M. & Li, Tong & Pesaran, M. Hashem, 2012. "An Exponential Class of Dynamic Binary Choice Panel Data Models with Fixed Effects," IZA Discussion Papers 7054, Institute of Labor Economics (IZA).
    25. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2025. "Grouped fixed effects regularization for binary choice models," Papers 2502.06446, arXiv.org.
    26. Francesco Bartolucci & Valentina Nigro, 2010. "A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n-Consistent Conditional Estimator," Econometrica, Econometric Society, vol. 78(2), pages 719-733, March.
    27. Cheng Hsiao, 2005. "Longitudinal Data Analysis," Economic Growth Centre Working Paper Series 0510, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    28. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    29. Pigini, Claudia & Bartolucci, Francesco, 2022. "Conditional inference for binary panel data models with predetermined covariates," Econometrics and Statistics, Elsevier, vol. 23(C), pages 83-104.
    30. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Papers 1909.05560, arXiv.org.
    31. Bel, K. & Paap, R., 2014. "A Multivariate Model for Multinomial Choices," Econometric Institute Research Papers EI 2014-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    32. Bartolucci, Francesco & Nigro, Valentina & Pigini, Claudia, 2013. "Testing for state dependence in binary panel data with individual covariates," MPRA Paper 48233, University Library of Munich, Germany.
    33. Luis Eduardo Arango & Carlos Esteban Posada, 2005. "Labor Participation of Married Women in Colombia," Borradores de Economia 3103, Banco de la Republica.
    34. Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
    35. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    36. Martin Browning & Jesus M. Carro, 2010. "Heterogeneity in dynamic discrete choice models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 1-39, February.
    37. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    38. Guevara, C. Angelo & Tang, Yue & Gao, Song, 2018. "The initial condition problem with complete history dependency in learning models for travel choices," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 850-861.
    39. Biørn, Erik & Bjørnsen, Hild-Marte, 2013. "What Motivates Farm Couples to Seek Off-farm Labour? A Logit Analysis of Job Transitions," Memorandum 09/2013, Oslo University, Department of Economics.
    40. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2009. "Identification and estimation of marginal effects in nonlinear panel models," CeMMAP working papers CWP05/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    42. Ambra Poggi & Matteo Richiardi, 2012. "Accounting for Unobserved Heterogeneity in Discrete-time, Discrete-choice Dynamic Microsimulation Models. An application to Labor Supply and Household Formation in Italy," LABORatorio R. Revelli Working Papers Series 117, LABORatorio R. Revelli, Centre for Employment Studies.
    43. Koen Jochmans, 2023. "Bootstrap inference for fixed-effect models," French Stata Users' Group Meetings 2023 21, Stata Users Group.
    44. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2021. "Predicting individual effects in fixed effects panel probit models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1109-1145, July.
    45. Matteo Richiardi & Ambra Poggi, 2014. "Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 3-39.
    46. Chrysanthou, Georgios Marios & Guilló, María Dolores, 2018. "The dynamics of political party support and egocentric economic evaluations: The Scottish case," European Journal of Political Economy, Elsevier, vol. 52(C), pages 192-213.
    47. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," MPRA Paper 110031, University Library of Munich, Germany.
    48. Federico Huneeus & Oscar Landerretche & Esteban Puentes, 2012. "Multidimensional Measure of Job Quality: Persistence and Heterogeneity in a Developing Country," Working Papers wp357, University of Chile, Department of Economics.
    49. Xin, Kai & Zhang, ZhengYu & Zhou, YaHong & Zhu, PingFang, 2021. "Time-varying individual effects in a panel data probit model with an application to female labor force participation," Economic Modelling, Elsevier, vol. 95(C), pages 181-191.
    50. Pierre-Carl Michaud & Konstantinos Tatsiramos, 2008. "Fertility and Female Employment Dynamics in Europe The Effect of Using Alternative Econometric Modeling Assumptions," Working Papers WR-643, RAND Corporation.
    51. Riccardo Lucchetti & Claudia Pigini, 2018. "Dynamic panel probit: finite-sample performance of alternative random-effects estimators," Working Papers 426, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    52. Buringh, Eltjo & Bosker, Maarten, 2010. "City seeds. Geography and the origins of the European city system," CEPR Discussion Papers 8066, C.E.P.R. Discussion Papers.
    53. Martin Schumann & Thomas A. Severini & Gautam Tripathi, 2017. "Integrated Likelihood Based Inference for Nonlinear Panel Data Models with Unobserved Effects," DEM Discussion Paper Series 17-01, Department of Economics at the University of Luxembourg.
    54. Pang, Zhen & Xue, Liugen, 2012. "Estimation for the single-index models with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1837-1853.
    55. Hasse, Jean-Baptiste & Lecourt, Christelle & Siagh, Souhila, 2024. "Setting up a sovereign wealth fund to reduce currency crises," Emerging Markets Review, Elsevier, vol. 62(C).
    56. 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.
    57. Lechner, Michael & Lollivier, Stefan & Magnac, Thierry, 2005. "Parametric Binary Choice Models," IDEI Working Papers 398, Institut d'Économie Industrielle (IDEI), Toulouse.
    58. Julian Hinz & Amrei Stammann & Joschka Wanner, 2020. "State Dependence and Unobserved Heterogeneity in the Extensive Margin of Trade," Papers 2004.12655, arXiv.org, revised Jul 2021.
    59. Hugo Kruiniger, 2021. "Root-n-consistent Conditional ML estimation of dynamic panel logit models with fixed effects," Papers 2103.04973, arXiv.org, revised Apr 2021.
    60. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
    61. Amaresh Tiwari & Franz Palm, 2011. "Nonlinear Panel Data Models with Expected a Posteriori Values of Correlated Random Effects," CREPP Working Papers 1113, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    62. Georgios Marios Chrysanthou & Chrysovalantis Vasilakis, 2018. "The Dynamics and Determinants of Bullying Victimisation," LIDAM Discussion Papers IRES 2018012, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    63. Aysun, Uluc & Jeon, Kiyoung & Kabukcuoglu, Zeynep, 2018. "Is the credit channel alive? Firm-level evidence on the sensitivity of borrowing spreads to monetary policy," Economic Modelling, Elsevier, vol. 75(C), pages 305-319.
    64. Bettina Peters, 2005. "Persistence of Innovation: Stylised Facts and Panel Data Evidence," Development and Comp Systems 0511021, University Library of Munich, Germany.
    65. Liu, Ruiqi & Shang, Zuofeng & Zhang, Yonghui & Zhou, Qiankun, 2020. "Identification and estimation in panel models with overspecified number of groups," Journal of Econometrics, Elsevier, vol. 215(2), pages 574-590.
    66. Bartolucci, Francesco & Nigro, Valentina, 2012. "Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data," Journal of Econometrics, Elsevier, vol. 170(1), pages 102-116.
    67. Manuel Arellano, 2001. "Discrete Choices with Panel Data," Working Papers wp2001_0101, CEMFI.
    68. F. Bartolucci & R. Bellio & A. Salvan & N. Sartori, 2016. "Modified Profile Likelihood for Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1271-1289, August.
    69. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    70. William Greene, 2014. "Models for ordered choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 15, pages 333-362, Edward Elgar Publishing.
    71. Khanam, Rasheda & Nghiem, Son & Connelly, Luke, 2016. "The effects of parental leave on child health and postnatal care: Evidence from Australia," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 17-29.
    72. Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
    73. Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 32/14, Institute for Fiscal Studies.
    74. Contoyannis, Paul & Li, Jinhu, 2011. "The evolution of health outcomes from childhood to adolescence," Journal of Health Economics, Elsevier, vol. 30(1), pages 11-32, January.
    75. Aleix Calveras & Juan José Ganuza & Gerard Llobet, 2005. "Regulation and opportunism: How much activism do we need?," Economics Working Papers 935, Department of Economics and Business, Universitat Pompeu Fabra.
    76. Naceur, Sami Ben & Candelon, Bertrand & Lajaunie, Quentin, 2019. "Taming financial development to reduce crises," LIDAM Reprints LFIN 2019005, Université catholique de Louvain, Louvain Finance (LFIN).
    77. Bai, Yang & Fung, Wing K. & Zhu, Zhong Yi, 2009. "Penalized quadratic inference functions for single-index models with longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 100(1), pages 152-161, January.
    78. Chen, Mingli, 2016. "Estimation of Nonlinear Panel Models with Multiple Unobserved Effects," The Warwick Economics Research Paper Series (TWERPS) 1120, University of Warwick, Department of Economics.
    79. Daniel Czarnowske & Amrei Stammann, 2019. "Fixed Effects Binary Choice Models: Estimation and Inference with Long Panels," Papers 1904.04217, arXiv.org, revised Oct 2020.
    80. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers 60/13, Institute for Fiscal Studies.
    81. Traferri, Alejandra, 2009. "Correcting the bias in the estimation of a dynamic ordered probit with fixed effects of self-assessed health status," UC3M Working papers. Economics we094021, Universidad Carlos III de Madrid. Departamento de Economía.
    82. Manuel Arellano & Jinyong Hahn, 2005. "Understanding Bias in Nonlinear Panel Models: Some Recent Developments," Working Papers wp2005_0507, CEMFI.
    83. Marta F. Arroyabe & Martin Schumann, 2022. "On the Estimation of True State Dependence in the Persistence of Innovation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 850-893, August.
    84. Chrysanthou, Georgios Marios & Guilló, María Dolores, 2016. "The Dynamics of Heterogeneous Political Party Support and Egocentric Economic Evaluations: the Scottish Case," QM&ET Working Papers 16-3, University of Alicante, D. Quantitative Methods and Economic Theory.
    85. Francesco Bartolucci† & Valentina Nigro, 2007. "A dynamic model for binary panel data with unobserved heterogeneity admitting a Vn-consistent conditional estimator," CEIS Research Paper 97, Tor Vergata University, CEIS.
    86. Stéphane Bonhomme & Kevin Dano & Bryan S. Graham, 2023. "Identification in a binary choice panel data model with a predetermined covariate," CeMMAP working papers 17/23, Institute for Fiscal Studies.
    87. Yoshitsugu Kitazawa, 2013. "Exploration of dynamic fixed effects logit models from a traditional angle," Discussion Papers 60, Kyushu Sangyo University, Faculty of Economics.
    88. Christian Almer & Stefan Boes, 2012. "Climate (change) and conflict: resolving a puzzle of association and causation," Diskussionsschriften dp1203, Universitaet Bern, Departement Volkswirtschaft.
    89. Riccardo (Jack) Lucchetti & Claudia Pigini, 2020. "Choice of solutions to the initial-conditions problem in dynamic panel probit models," Working Papers 2020:27, Department of Economics, University of Venice "Ca' Foscari".

  13. Jesús Carro & Pedro Mira, 2002. "A Dynamic Model of Contraceptive Choice of Spanish Couples," Working Papers wp2002_0202, CEMFI.

    Cited by:

    1. Abel Elizalde & Rafael Repullo, 2004. "Economic and Regulatory Capital. What Is the Difference?," Working Papers wp2004_0422, CEMFI.
    2. 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.
    3. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    4. Martin Browning & Jesus M. Carro, 2009. "Dynamic binary outcome models with maximal heterogeneity," Economics Series Working Papers 426, University of Oxford, Department of Economics.
    5. David Canning & Declan French & Michael Moore, 2016. "The Economics of Fertility Timing: An Euler Equation Approach," PGDA Working Papers 11714, Program on the Global Demography of Aging.
    6. Mette Ejrnæs & Thomas H. Jørgensen, 2020. "Family planning in a life‐cycle model with income risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 567-586, August.
    7. Georgi Kocharkov, 2012. "Abortions and Inequality," Working Paper Series of the Department of Economics, University of Konstanz 2012-22, Department of Economics, University of Konstanz.
    8. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    9. Uma Radhakrishnan, 2010. "A Dynamic Structural Model of Contraceptive Use and Employment Sector Choice for Women in Indonesia," Working Papers 10-28, Center for Economic Studies, U.S. Census Bureau.
    10. Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
    11. Juan Pantano & Qi Li, 2013. "The Demographic Consequences of Gender Selection Technology," 2013 Meeting Papers 1161, Society for Economic Dynamics.
    12. Nezih Guner & Ezgi Kaya & Virginia Sánchez-Marcos, 2014. "Gender gaps in Spain: policies and outcomes over the last three decades," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(1), pages 61-103, March.
    13. Forsstrom, Matthew P., 2021. "Abortion Costs and Single Parenthood: A Life-Cycle Model of Fertility and Partnership Behavior," Labour Economics, Elsevier, vol. 69(C).
    14. Valdés, Nieves, 2009. "The school reentry decision on poor girls: structural estimation and policy analysis using PROGRESA database," UC3M Working papers. Economics we101406, Universidad Carlos III de Madrid. Departamento de Economía.
    15. Bellido, Héctor & Marcén, Miriam, 2011. "Divorce laws and fertility decisions," MPRA Paper 30243, University Library of Munich, Germany.
    16. Qi Li & Juan Pantano, 2023. "The demographic consequences of sex‐selection technology," Quantitative Economics, Econometric Society, vol. 14(1), pages 309-347, January.
    17. Josep Pijoan-Mas, 2006. "Precautionary Savings or Working Longer Hours?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 326-352, April.
    18. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    19. Georgi Kocharkov, 2010. "Abortions, Inequality and Intergenerational Mobility: A Quantitative Evaluation," 2010 Meeting Papers 974, Society for Economic Dynamics.

Articles

  1. Pedro Albarran & Raquel Carrasco & Jesus M. Carro, 2019. "Estimation of Dynamic Nonlinear Random Effects Models with Unbalanced Panels," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(6), pages 1424-1441, December.
    See citations under working paper version above.
  2. Brindusa Anghel & Antonio Cabrales & Jesus M. Carro, 2016. "Evaluating A Bilingual Education Program In Spain: The Impact Beyond Foreign Language Learning," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1202-1223, April.
    See citations under working paper version above.
  3. Browning, Martin & Carro, Jesus M., 2014. "Dynamic binary outcome models with maximal heterogeneity," Journal of Econometrics, Elsevier, vol. 178(2), pages 805-823.
    See citations under working paper version above.
  4. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    See citations under working paper version above.
  5. Martin Browning & Jesus M. Carro, 2013. "The Identification of a Mixture of First-Order Binary Markov Chains," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 455-459, June.
    See citations under working paper version above.
  6. Martin Browning & Jesus M. Carro, 2010. "Heterogeneity in dynamic discrete choice models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 1-39, February.
    See citations under working paper version above.
  7. Carro, Jesus M., 2007. "Estimating dynamic panel data discrete choice models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 503-528, October.
    See citations under working paper version above.
  8. Pedro Mira & Jesús M. Carro, 2006. "A dynamic model of contraceptive choice of Spanish couples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 955-980.
    See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

    Sorry, no citations of software components recorded.
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