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Citations for "Finite Mixture Distributions, Sequential Likelihood and the EM Algorithm"

by Peter Arcidiacono & John Bailey Jones

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  1. Hong, Han & Li, Weiming & Wang, Boyu, 2015. "Estimation of dynamic discrete models from time aggregated data," Journal of Econometrics, Elsevier, vol. 188(2), pages 435-446.
  2. Hilger, James & Hanemann, W. Michael, 2008. "The Impact of Water Quality on Southern California Beach Recreation: A Finite Mixture Model Approach," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9v17r715, Department of Agricultural & Resource Economics, UC Berkeley.
  3. Mario Fiorini, 2012. "Fostering Educational Enrolment Through Subsidies: The Issue Of Timing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 741-772, 08.
  4. Jonathan James, 2012. "Learning and occupational sorting," Working Paper 1225, Federal Reserve Bank of Cleveland.
  5. Magali BEFFY & Denis FOUGERE & Arnaud MAUREL, 2009. "Choosing the Field of Study in Post-Secondary Education : Do Expected Earnings Matter ?," Working Papers 2009-14, Centre de Recherche en Economie et Statistique.
  6. Antoni Bosch-Domenech & Jose G. Montalvo & Rosemarie Nagel & Albert Satorra, 2004. "Finite Mixture Analysis of Beauty-Contest Data from Multiple Samples," Levine's Bibliography 122247000000000035, UCLA Department of Economics.
  7. Jonathan James, 2012. "A tractable estimator for general mixed multinomial logit models," Working Paper 1219, Federal Reserve Bank of Cleveland.
  8. Peter Arcidiacono & Holger Sieg & Frank Sloan, . "Living Rationally Under the Volcano? An Empirical Analysis of Heavy Drinking and Smoking," GSIA Working Papers 2003-02, Carnegie Mellon University, Tepper School of Business.
  9. Kyoo il Kim, 2006. "Semiparametric Estimation of Signaling Games," Labor Economics Working Papers 22452, East Asian Bureau of Economic Research.
  10. Breitmoser, Yves & Tan, Jonathan H.W., 2014. "Reference Dependent Altruism," MPRA Paper 52774, University Library of Munich, Germany.
  11. Lu, Zeng-Hua, 2009. "Covariate selection in mixture models with the censored response variable," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2710-2723, May.
  12. Helene Turon & Fabien Postel-Vinay, 2005. "The Public Pay Gap in Britain: Small Differences that (Don't?) Matter," 2005 Meeting Papers 92, Society for Economic Dynamics.
  13. Timothy J Halliday, 2005. "Heterogeneity, State Dependence and Health," Working Papers 200503, University of Hawaii at Manoa, Department of Economics.
  14. Pedro Mira & Victor Aguirregabiria, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers wp2007_0711, CEMFI.
  15. Guy Tchuente, 2015. "High school human capital portfolio and college outcomes," Studies in Economics 1516, School of Economics, University of Kent.
  16. Stéphane Bonhomme & Jean-Marc Robin, 2009. "Assessing the Equalizing Force of Mobility Using Short Panels: France, 1990-2000," Review of Economic Studies, Oxford University Press, vol. 76(1), pages 63-92.
  17. Martin Browning & Jesus M. Carro, 2009. "Dynamic binary outcome models with maximal heterogeneity," Economics Series Working Papers 426, University of Oxford, Department of Economics.
  18. Tan, Jonathan H.W. & Breitmoser, Yves & Bolle, Friedel, 2015. "Voluntary contributions by consent or dissent," Games and Economic Behavior, Elsevier, vol. 92(C), pages 106-121.
  19. Peter Arcidiacono & Paul B. Ellickson, 2011. "Practical Methods for Estimation of Dynamic Discrete Choice Models," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 363-394, 09.
  20. repec:fip:fedcwp:12-19 is not listed on IDEAS
  21. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
  22. Justin G. Trogdon, 2005. "Demand for and Regulation of Cardiac Services," HEW 0502001, EconWPA.
  23. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  24. Friedel Bolle & Yves Breitmoser & Steffen Schlächter, 2011. "Extortion in the laboratory," Post-Print hal-00989521, HAL.
  25. Breitmoser, Yves & Tan, Jonathan H.W., 2010. "Generosity in bargaining: Fair or fear?," MPRA Paper 27444, University Library of Munich, Germany.
  26. StÈphane Bonhomme & GrÈgory Jolivet, 2009. "The pervasive absence of compensating differentials," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 763-795.
  27. Marion Gousse, 2014. "Marriage Market and Intra-Household Allocation. Essays in Economics of Family and Education," Sciences Po publications info:hdl:2441/6tve7u8o9k9, Sciences Po.
  28. Joost M.E. Pennings & Scott H. Irwin & Darrel L. Good & Olga Isengildina, 2005. "Heterogeneity in the likelihood of market advisory service use by U.S. crop producers," Agribusiness, John Wiley & Sons, Ltd., vol. 21(1), pages 109-128.
  29. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, Elsevier.
  30. Xun Tang, 2009. "Rationalizable Counterfactual Choice Probabilities in Dynamic Binary Choice Processes," PIER Working Paper Archive 09-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  31. Breitmoser, Yves, 2010. "Structural modeling of altruistic giving," MPRA Paper 24262, University Library of Munich, Germany.
  32. Marco Costanigro & Ron C. Mittelhammer & Jill J. McCluskey, 2009. "Estimating class-specific parametric models under class uncertainty: local polynomial regression clustering in an hedonic analysis of wine markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1117-1135.
  33. Robert J. Gary-Bobo & Marion Gousse & Jean-Marc Robin, 2014. "Grade Retention and Unobserved Heterogeneity," CESifo Working Paper Series 4846, CESifo Group Munich.
  34. Christopher Ferrall, 2005. "Solving Finite Mixture Models: Efficient Computation in Economics Under Serial and Parallel Execution," Computational Economics, Society for Computational Economics, vol. 25(4), pages 343-379, June.
  35. Pouta, Eija & Myyra, Sami & Hanninen, Harri, 2009. "Heterogeneous farmland owners: two approaches for objective based classification," 2009 Conference, August 16-22, 2009, Beijing, China 50787, International Association of Agricultural Economists.
  36. Antoni Bosch-Domènech & José G.Montalvo & Rosemarie Nagel & Albert Satorra, 2010. "Finite Mixture Analysis of Beauty-Contest Data Using Generalised Beta Distributions," Working Papers 455, Barcelona Graduate School of Economics.
  37. Christopher Ferrall, 2003. "Solving Finite Mixture Models in Parallel," Computational Economics 0303003, EconWPA.
  38. Elena Mattana & Juanna Joensen, 2014. "Student Aid, Academic Achievement, and Labor Market Behavior: Grants or Loans?," 2014 Meeting Papers 707, Society for Economic Dynamics.
  39. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
  40. Breitmoser, Yves, 2010. "Hierarchical Reasoning versus Iterated Reasoning in p-Beauty Contest Guessing Games," MPRA Paper 19893, University Library of Munich, Germany.
  41. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2012. "Short Run Needs and Long Term Goals: A Dynamic Model of Thirst Management," Cowles Foundation Discussion Papers 1856, Cowles Foundation for Research in Economics, Yale University.
  42. Michael Keane & Nada Wasi, 2013. "Comparing Alternative Models Of Heterogeneity In Consumer Choice Behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 1018-1045, 09.
  43. Peter Arcidiacono, Holger Sieg, Frank Sloan, 2001. "Living Rationally Under the Volcano? Heavy Drinking and Smoking Among the Elderly," Computing in Economics and Finance 2001 207, Society for Computational Economics.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.