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Citations for "A new use of importance sampling to reduce computational burden in simulation estimation"

by Daniel Ackerberg

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  1. Jeremy T. Fox & Kyoo il Kim, 2011. "A Simple Nonparametric Approach to Estimating the Distribution of Random Coefficients in Structural Models," NBER Working Papers 17283, National Bureau of Economic Research, Inc.
  2. Matteo Richiardi, 2004. "The Promises and Perils of Agent-Based Computational Economics," Computational Economics 0401001, EconWPA.
  3. Keane, Michael P. & Sauer, Robert M., 2009. "A Computationally Practical Simulation Estimation Algorithm for Dynamic Panel Data Models with Unobserved Endogenous State Variables," IZA Discussion Papers 4054, Institute for the Study of Labor (IZA).
  4. Pedro Mira & Victor Aguirregabiria, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers wp2007_0711, CEMFI.
  5. Justin G. Trogdon, 2004. "Demand for and Regulation of Cardiac Services," School of Economics Working Papers 2004-12, University of Adelaide, School of Economics.
  6. Takechi, Kazutaka & Higashida, Keisaku, 2012. "Firm organizational heterogeneity and market structure: Evidence from the Japanese pesticide market," International Journal of Industrial Organization, Elsevier, vol. 30(2), pages 193-203.
  7. Patrick Bajari & Jeremy T. Fox & Kyoo il Kim & Stephen P. Ryan, 2009. "A Simple Nonparametric Estimator for the Distribution of Random Coefficients," NBER Working Papers 15210, National Bureau of Economic Research, Inc.
  8. Davis, Peter, 2006. "Estimation of quantity games in the presence of indivisibilities and heterogeneous firms," Journal of Econometrics, Elsevier, vol. 134(1), pages 187-214, September.
  9. James W. Roberts & Andrew Sweeting, 2011. "When Should Sellers Use Auctions?," NBER Working Papers 17624, National Bureau of Economic Research, Inc.
  10. Matthew Osborne, 2011. "Consumer learning, switching costs, and heterogeneity: A structural examination," Quantitative Marketing and Economics, Springer, vol. 9(1), pages 25-70, March.
  11. Stephen Ryan & Patrick Bajari & Han Hong, 2005. "Identification and Estimation of Discrete Games of Complete Information," Computing in Economics and Finance 2005 53, Society for Computational Economics.
  12. Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2012. "A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models," Quantitative Marketing and Economics, Springer, vol. 10(2), pages 151-196, June.
  13. Wang, Yafeng & Graham, Brett, 2010. "Simulation Based Estimation of Discrete Sequential Move Games of Perfect Information," MPRA Paper 23153, University Library of Munich, Germany.
  14. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics, Springer, vol. 7(4), pages 343-376, December.
  15. Jean-Pierre Dubé & K. Sudhir & Andrew Ching & Gregory Crawford & Michaela Draganska & Jeremy Fox & Wesley Hartmann & Günter Hitsch & V. Viard & Miguel Villas-Boas & Naufel Vilcassim, 2005. "Recent Advances in Structural Econometric Modeling: Dynamics, Product Positioning and Entry," Marketing Letters, Springer, vol. 16(3), pages 209-224, December.
  16. Hartmann, Wesley R. & Nair, Harikesh S., 2007. "Retail Competition and the Dynamics of Consumer Demand for Tied Goods," Research Papers 1990, Stanford University, Graduate School of Business.
  17. Wesley Hartmann & V. Viard, 2008. "Do frequency reward programs create switching costs? A dynamic structural analysis of demand in a reward program," Quantitative Marketing and Economics, Springer, vol. 6(2), pages 109-137, June.
  18. Wesley Hartmann, 2006. "Intertemporal effects of consumption and their implications for demand elasticity estimates," Quantitative Marketing and Economics, Springer, vol. 4(4), pages 325-349, December.