IDEAS home Printed from https://ideas.repec.org/f/c/pca318.html
   My authors  Follow this author

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, 2021. "Identification of Dynamic Panel Logit Models with Fixed Effects," Papers 2104.04590, arXiv.org, revised Apr 2021.
    2. St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
    3. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    4. 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.
    5. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.
    6. 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.
    7. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    8. 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.
    9. Irene Botosaru & Chris Muris & Senay Sokullu, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Department of Economics Working Papers 2022-01, McMaster University.
    10. Irene Botosaru & Isaac Loh & Chris Muris, 2024. "An Adversarial Approach to Identification and Inference," Papers 2411.04239, arXiv.org.
    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. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A dynamic ordered logit model with fixed effects," Papers 2008.05517, arXiv.org.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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).
    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. Cappellari, Lorenzo & Di Paolo, Antonio, 2015. "Bilingual Schooling and Earnings: Evidence from a Language-in-Education Reform," IZA Discussion Papers 9431, Institute of Labor Economics (IZA).
    2. Lucas Gortázar & David Mayor & José Montalbán, 2020. "School Choice Priorities and School Segregation: Evidence from Madrid," Studies on the Spanish Economy eee2020-06, FEDEA.
    3. Martinez de Lafuente, David, 2021. "Cultural Assimilation and Ethnic Discrimination: An Audit Study with Schools," Labour Economics, Elsevier, vol. 72(C).
    4. 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.
    5. Bernhofer, Juliana & Tonin, Mirco, 2022. "The effect of the language of instruction on academic performance," Labour Economics, Elsevier, vol. 78(C).

  6. 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. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," SciencePo Working papers Main hal-01070553, HAL.
    2. 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.
    3. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A dynamic ordered logit model with fixed effects," Papers 2008.05517, arXiv.org.
    4. Hoskins, Stephen & Johnston, David W. & Kunz, Johannes S. & Shields, Michael A. & Staub, Kevin E., 2024. "Heterogeneity in the Persistence of Health: Evidence from a Monthly Micro Panel," IZA Discussion Papers 17023, Institute of Labor Economics (IZA).
    5. 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.
    6. 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.
    7. 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.
    8. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    9. 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.
    10. L. Wilner, 2020. "The persistence of subjective wellbeing: permanent happiness, transitory misery?," Documents de Travail de l'Insee - INSEE Working Papers g2020-08, Institut National de la Statistique et des Etudes Economiques.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. Bartolucci, Francesco & Pigini, Claudia, 2017. "Granger causality in dynamic binary short panel data models," MPRA Paper 77486, University Library of Munich, Germany.
    16. 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.
    17. Greene, William & Harris, Mark N. & Knott, Rachel & Rice, Nigel, 2023. "Reporting heterogeneity in modeling self-assessed survey outcomes," Economic Modelling, Elsevier, vol. 124(C).
    18. 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).

  7. 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," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 923-941, October.
    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.

  8. 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. Victor Aguirregabiria & Jiaying Gu & Yao Luo, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," Working Papers tecipa-603, University of Toronto, Department of Economics.
    2. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    3. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.
    4. 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.
    5. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers CWP51/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. 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.
    7. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    8. 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.
    9. Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.
    10. Plum, Alexander & Ayllón, Sara, 2015. "Heterogeneity in unemployment state dependence," Economics Letters, Elsevier, vol. 136(C), pages 85-87.
    11. Daniel Czarnowske, 2022. "A Classifier-Lasso Approach for Estimating Production Functions with Latent Group Structures," Papers 2203.02220, arXiv.org.
    12. Mr. Ippei Shibata, 2019. "Labor Market Dynamics: A Hidden Markov Approach," IMF Working Papers 2019/282, International Monetary Fund.
    13. 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.
    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.

  9. 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. 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.
    2. Timothy J. Halliday, 2009. "Health Inequality over the Life-Cycle," Working Papers 2011-11R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jun 2011.
    3. 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.

  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. Victor Aguirregabiria & Jiaying Gu & Yao Luo, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," Working Papers tecipa-603, University of Toronto, Department of Economics.
    2. Arthur Lewbel, 2006. "Modeling Heterogeneity," Boston College Working Papers in Economics 650, Boston College Department of Economics.
    3. Hochguertel, Stefan & Ohlsson, Henry, 2011. "Wealth mobility and dynamics over entire individual working life cycles," Working Paper Series 1301, European Central Bank.
    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. 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.
    6. Julian Hinz & Amrei Stammann & Joschka Wanner, 2021. "State Dependence and Unobserved Heterogeneity in the Extensive Margin of Trade," CEPA Discussion Papers 36, Center for Economic Policy Analysis.
    7. Vladislav Morozov, 2022. "Inference on Extreme Quantiles of Unobserved Individual Heterogeneity," Papers 2210.08524, arXiv.org, revised Jun 2023.
    8. 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.
    9. 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.
    10. Tue Gørgens & Dean Hyslop, 2016. "The specification of dynamic discrete-time two-state panel data models," Working Papers 16_01, Motu Economic and Public Policy Research.
    11. 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.
    12. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    13. 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. James Berry & Greg Fischer & Raymond Guiteras, 2020. "Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana," Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1436-1473.
    2. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," SciencePo Working papers Main hal-01070553, HAL.
    3. Hochguertel, Stefan & Ohlsson, Henry, 2011. "Wealth mobility and dynamics over entire individual working life cycles," Working Paper Series 1301, European Central Bank.
    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. 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.
    6. 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.
    7. 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.
    8. Ralph Stinebrickner & Todd Stinebrickner, 2013. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20134, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    9. 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.
    10. 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.
    11. 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.
    12. Martin Browning & M. Dolores Collado, 2004. "Habits and Heterogeneity in Demands: a Panel Data Analysis," CAM Working Papers 2004-18, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    13. 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.
    14. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
    15. Santiago Pereda Fernández, 2016. "Copula-based random effects models for clustered data," Temi di discussione (Economic working papers) 1092, Bank of Italy, Economic Research and International Relations Area.
    16. Okui, Ryo & Wang, Wendun, 2021. "Heterogeneous structural breaks in panel data models," Journal of Econometrics, Elsevier, vol. 220(2), pages 447-473.
    17. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    18. 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.
    19. Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.
    20. Yifan Gong & Ralph Stinebrickner & Todd R. Stinebrickner, 2019. "Uncertainty about Future Income: Initial Beliefs and Resolution During College," NBER Working Papers 25485, National Bureau of Economic Research, Inc.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    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. 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.
    3. 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).
    4. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    5. Vahagn Galstyan, 2007. "How Persistent are International Capital Flows?," The Institute for International Integration Studies Discussion Paper Series iiisdp232, IIIS.
    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.
    7. Geert Dhaene & Koen Jochmans, 2014. "Split-Panel Jackknife Estimation of Fixed-Effect Models," SciencePo Working papers Main hal-01070553, HAL.
    8. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    9. 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.
    10. 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.
    11. Majid M. Al-Sadoon & Tong Li & M. Hashem Pesaran, 2012. "An Exponential Class of Dynamic Binary Choice Panel Data Models with Fixed Effects," CESifo Working Paper Series 4033, CESifo.
    12. 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.
    13. 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.
    14. Bettina Peters, 2005. "Persistence of Innovation: Stylised Facts and Panel Data Evidence," Development and Comp Systems 0511021, University Library of Munich, Germany.
    15. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A dynamic ordered logit model with fixed effects," Papers 2008.05517, arXiv.org.
    16. Manuel Arellano & Stéphane Bonhomme, 2009. "Robust Priors in Nonlinear Panel Data Models," Econometrica, Econometric Society, vol. 77(2), pages 489-536, March.
    17. Hospido, Laura, 2010. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," IZA Discussion Papers 4712, Institute of Labor Economics (IZA).
    18. 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.
    19. 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.
    20. Julian Hinz & Amrei Stammann & Joschka Wanner, 2021. "State Dependence and Unobserved Heterogeneity in the Extensive Margin of Trade," CEPA Discussion Papers 36, Center for Economic Policy Analysis.
    21. 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.
    22. 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.
    23. Xiaoming Li, 2011. "Fixed Effects Estimation in Panel Nonlinear Fractional Response Models," Working papers 2011-11, University of Connecticut, Department of Economics.
    24. 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.
    25. 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.
    26. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    27. 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.
    28. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    29. Manuel Arellano, 2001. "Discrete Choices with Panel Data," Working Papers wp2001_0101, CEMFI.
    30. Bertrand Candelon & Elena Ivona Dumitrescu & Christophe Hurlin, 2014. "Currency Crises Early Warning Systems: Why They Should Be Dynamic," Post-Print hal-01385975, HAL.
    31. 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.
    32. Luis Eduardo Arango & Carlos Esteban Posada, 2005. "Labor Participation of Married Women in Colombia," Borradores de Economia 357, Banco de la Republica de Colombia.
    33. 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.
    34. 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.
    35. Richiardi Matteo & Poggi Ambra, 2012. "Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201213, University of Turin.
    36. Daniel Czarnowske & Amrei Stammann, 2019. "Fixed Effects Binary Choice Models: Estimation and Inference with Long Panels," Papers 1904.04217, arXiv.org, revised Oct 2020.
    37. 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.
    38. Laura Hospido, 2012. "Estimating Nonlinear Models with Multiple Fixed Effects: A Computational Note," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 760-775, October.
    39. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 157-191, Emerald Group Publishing Limited.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    50. 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).
    51. Bo E. Honoré & 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(s2), pages 211-236, December.
    52. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    53. 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.
    54. 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.
    55. 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.
    56. 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.
    57. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    58. 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.
    59. 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.
    60. 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.
    61. Chen, Mingli, 2016. "Estimation of Nonlinear Panel Models with Multiple Unobserved Effects," Economic Research Papers 269326, University of Warwick - Department of Economics.
    62. Manuel Arellano & Jinyong Hahn, 2005. "Understanding Bias in Nonlinear Panel Models: Some Recent Developments," Working Papers wp2005_0507, CEMFI.
    63. 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.
    64. 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.
    65. 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.
    66. 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.
    67. 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.
    68. 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.
    69. Sami Ben Naceur & Bertrand Candelon & Quentin Lajaunie, 2019. "Taming Financial Development to Reduce Crises," IMF Working Papers 2019/094, International Monetary Fund.
    70. 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.
    71. 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.
    72. 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.
    73. Cheng Hsiao, 2005. "Longitudinal Data Analysis," Economic Growth Centre Working Paper Series 0510, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    74. 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.
    75. 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.
    76. 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.
    77. Yoshitsugu Kitazawa, 2013. "Exploration of dynamic fixed effects logit models from a traditional angle," Discussion Papers 60, Kyushu Sangyo University, Faculty of Economics.
    78. 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.
    79. 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.
    80. Christian Almer & Stefan Boes, 2012. "Climate (change) and conflict: resolving a puzzle of association and causation," Diskussionsschriften dp1203, Universitaet Bern, Departement Volkswirtschaft.
    81. 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.
    82. 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.
    83. 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.
    84. 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.
    85. 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.
    86. 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".
    87. 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.

  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. 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.
    4. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    5. Forsstrom, Matthew P., 2021. "Abortion Costs and Single Parenthood: A Life-Cycle Model of Fertility and Partnership Behavior," Labour Economics, Elsevier, vol. 69(C).
    6. Martin Browning & Jesus M. Carro, 2009. "Dynamic binary outcome models with maximal heterogeneity," Economics Series Working Papers 426, University of Oxford, Department of Economics.
    7. 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.
    8. Qi Li & Juan Pantano, 2023. "The demographic consequences of sex‐selection technology," Quantitative Economics, Econometric Society, vol. 14(1), pages 309-347, January.
    9. 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.
    10. 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.
    11. Georgi Kocharkov, 2010. "Abortions, Inequality and Intergenerational Mobility: A Quantitative Evaluation," 2010 Meeting Papers 974, Society for Economic Dynamics.
    12. 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.
    13. 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.
    14. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    15. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    16. 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.
    17. Bellido, Héctor & Marcén, Miriam, 2011. "Divorce laws and fertility decisions," MPRA Paper 30243, University Library of Munich, Germany.
    18. 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.
    19. Juan Pantano & Qi Li, 2013. "The Demographic Consequences of Gender Selection Technology," 2013 Meeting Papers 1161, 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.