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Citations for "Computationally intensive methods for integration in econometrics"

by Geweke, John & Keane, Michael

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  1. 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.
  2. Aßmann, Christian, 2011. "Assessing the effect of current account and currency crises on economic growth," BERG Working Paper Series 80, Bamberg University, Bamberg Economic Research Group.
  3. Don Fullerton & Li Gan, 2003. "A Simulation-Based Welfare Loss Calculation for Labor Taxes with Piecewise-Linear Budgets," NBER Working Papers 10139, National Bureau of Economic Research, Inc.
  4. Aßmann, Christian, 2007. "Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation," Economics Working Papers 2007,17, Christian-Albrechts-University of Kiel, Department of Economics.
  5. Chernozhukov, Victor & Hong, Han, 2003. "An MCMC approach to classical estimation," Journal of Econometrics, Elsevier, vol. 115(2), pages 293-346, August.
  6. Sauer, Robert & Keane, Michael P., 2007. "A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables," Discussion Paper Series In Economics And Econometrics 0705, Economics Division, School of Social Sciences, University of Southampton.
  7. George Monokroussos, 2005. "Dynamic Limited Dependent Variable Modeling and US Monetary Policy," Computing in Economics and Finance 2005 460, Society for Computational Economics.
  8. Tong Li & Xiaoyong Zheng, 2008. "Semiparametric Bayesian inference for dynamic Tobit panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 699-728.
  9. George Monokroussos, 2006. "A Dynamic Tobit Model for the Open Market Desk's Daily Reaction Function," Computing in Economics and Finance 2006 390, Society for Computational Economics.
  10. Jim Engle-Warnick & Bradley Ruffle, 2006. "The Strategies Behind Their Actions: A Method To Infer Repeated-Game Strategies And An Application To Buyer Behavior," Departmental Working Papers 2005-04, McGill University, Department of Economics.
  11. Tong Li & Xiaoyong Zheng, 2006. "Entry and competition effects in first-price auctions: theory and evidence from procurement auctions," CeMMAP working papers CWP13/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  12. Jonathan Levin (Stanford University) & Pat Bajari & Lanier Benkard, 2004. "Estimating Dynamic Models of Imperfect Competition," Econometric Society 2004 North American Winter Meetings 627, Econometric Society.
  13. Troske, Kenneth & Voicu, Alexandru, 2004. "Joint Estimation of Sequential Labor Force Participation and Fertility Decisions Using Markov Chain Monte Carlo Techniques," IZA Discussion Papers 1251, Institute for the Study of Labor (IZA).
  14. Geert Mesters & Siem Jan Koopman, 2012. "Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time," Tinbergen Institute Discussion Papers 12-009/4, Tinbergen Institute, revised 18 Mar 2014.
  15. Kim, Jae-Young, 2014. "An alternative quasi likelihood approach, Bayesian analysis and data-based inference for model specification," Journal of Econometrics, Elsevier, vol. 178(P1), pages 132-145.
  16. John Geweke & Joel Horowitz & M. Hashem Pesaran, 2006. "Econometrics: A Bird’s Eye View," CESifo Working Paper Series 1870, CESifo Group Munich.
  17. Troske, Kenneth & Voicu, Alexandru, 2009. "The Effect of Children on the Level of Labor Market Involvement of Married Women: What is the Role of Education?," IZA Discussion Papers 4074, Institute for the Study of Labor (IZA).
  18. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
  19. Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, 05.
  20. Michael P. Keane & Nada Wasi, 2013. "The Structure of Consumer Taste Heterogeneity in Revealed vs. Stated Preference Data," Economics Papers 2013-W10, Economics Group, Nuffield College, University of Oxford.
  21. Geweke, John, 2003. "Econometric issues in using the AHEAD panel," Journal of Econometrics, Elsevier, vol. 112(1), pages 115-120, January.
  22. Liesenfeld, Roman & Moura, Guilherme V. & Richard, Jean-François, 2009. "Determinants and dynamics of current account reversals: an empirical analysis," Economics Working Papers 2009,04, Christian-Albrechts-University of Kiel, Department of Economics.
  23. Tülin Erdem & Kannan Srinivasan & Wilfred Amaldoss & Patrick Bajari & Hai Che & Teck Ho & Wes Hutchinson & Michael Katz & Michael Keane & Robert Meyer & Peter Reiss, 2005. "Theory-Driven Choice Models," Marketing Letters, Springer, vol. 16(3), pages 225-237, December.
  24. Hiroyuki Kasahara & Katsumi Shimotsu, 2006. "Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices," Working Papers 1092, Queen's University, Department of Economics.
  25. Michael Keane, 2010. "Labor Supply and Taxes: A Survey," Working Paper Series 160, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
  26. ENGLE-WARNICK, Jim & McCAUSLAND, William J. & MILLER, John H., 2004. "The Ghost in the Machine: Inferring Machine-Based Strategies from Observed Behavior," Cahiers de recherche 15-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  27. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2014. "A Simple Method to Estimate the Roles of Learning, Inventories and Category Consideration in Consumer Choice," Economics Papers 2014-W01, Economics Group, Nuffield College, University of Oxford.
  28. George Monokroussos, 2013. "A Classical MCMC Approach to the Estimation of Limited Dependent Variable Models of Time Series," Computational Economics, Society for Computational Economics, vol. 42(1), pages 71-105, June.
  29. Guilherme Valle Moura & Roman Liesenfeld & Jean-Francois Richard, 2008. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807141048250, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  30. Fosgerau, Mogens & Hess, Stephane, 2008. "Competing methods for representing random taste heterogeneity in discrete choice models," MPRA Paper 10038, University Library of Munich, Germany.
  31. Liesenfeld, Roman & Richard, Jean-François, 2010. "Efficient estimation of probit models with correlated errors," Journal of Econometrics, Elsevier, vol. 156(2), pages 367-376, June.
  32. Madeleine King & Rosalie Viney & Ishrat Hossain & David Smith & Sandra Fowler & Elizabeth Savage & Bruce Armstrong, 2006. "Men?s preferences for treatment of early stage prostate cancer: Results from a discrete choice experiment, CHERE Working Paper 2006/14," Working Papers 2006/14, CHERE, University of Technology, Sydney.
  33. Orla May & Merxe Tudela, 2005. "When is mortgage indebtedness a financial burden to British households? A dynamic probit approach," Bank of England working papers 277, Bank of England.
  34. Mesters, G. & Koopman, S.J., 2014. "Generalized dynamic panel data models with random effects for cross-section and time," Journal of Econometrics, Elsevier, vol. 180(2), pages 127-140.
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