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Maximum Simulated Likelihood: A Brief Introduction for Practitioners

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  • Carlos Arias
  • THOMAS L. COX

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  • Carlos Arias & THOMAS L. COX, 1999. "Maximum Simulated Likelihood: A Brief Introduction for Practitioners," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 421, Wisconsin-Madison Agricultural and Applied Economics Department.
    • Handle: RePEc:wop:wisaes:421
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    File URL: http://www.aae.wisc.edu/www/pub/sps/stpap421.pdf
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    1. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    2. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    3. Hajivassiliou, V A, 1994. "A Simulation Estimation Analysis of the External Debt Crises of Developing Countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(2), pages 109-131, April-Jun.
    4. Feenberg, Daniel & Skinner, Jonathan, 1994. "The Risk and Duration of Catastrophic Health Care Expenditures," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 633-647, November.
    5. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
    6. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
    7. Hajivassiliou, Vassilis & McFadden, Daniel & Ruud, Paul, 1996. "Simulation of multivariate normal rectangle probabilities and their derivatives theoretical and computational results," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 85-134.
    8. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    9. Stern, Steven, 1992. "A Method for Smoothing Simulated Moments of Discrete Probabilities in Multinomial Probit Models," Econometrica, Econometric Society, vol. 60(4), pages 943-952, July.
    10. Heng Z. Chen & Stephen R. Cosslett, 1998. "Environmental Quality Preference and Benefit Estimation in Multinomial Probit Models: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 512-520.
    11. Vijverberg, Wim P. M., 1997. "Monte Carlo evaluation of multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 281-307.
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    Cited by:

    1. Vincenzo Atella & Carlos Arias & Federico Perali & Raffaella Castagnini, 2003. "Estimation of the Sharing Rule Between Adults and Children and Related Equivalence Scales Within a Collective Consumption Framework," CEIS Research Paper 28, Tor Vergata University, CEIS.
    2. Henry W. Chappell & Paulo Guimarães & Orgül Demet Öztürk, 2011. "Confessions of an internet monopolist: demand estimation for a versioned information good," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
    3. Kyösti Pietola & Alfons Oude Lansink, 2006. "Energy‐saving Technology Choices by Dutch Glasshouse Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(1), pages 129-144, March.
    4. Ozturk, Erdogan & Irwin, Elena G., 2001. "Explaining Household Location Choices Using A Spatial Probit Model," 2001 Annual meeting, August 5-8, Chicago, IL 20626, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Michael J. Peel, 2014. "Addressing unobserved endogeneity bias in accounting studies: control and sensitivity methods by variable type," Accounting and Business Research, Taylor & Francis Journals, vol. 44(5), pages 545-571, October.

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