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Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation

dc.contributor.authorDubé, Jean‐pierreen_US
dc.contributor.authorFox, Jeremy T.en_US
dc.contributor.authorSu, Che‐linen_US
dc.date.accessioned2012-10-02T17:19:55Z
dc.date.available2013-10-18T17:47:30Zen_US
dc.date.issued2012-09en_US
dc.identifier.citationDubé, Jean‐pierre ; Fox, Jeremy T.; Su, Che‐lin (2012). "Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation." Econometrica 80(5). <http://hdl.handle.net/2027.42/93649>en_US
dc.identifier.issn0012-9682en_US
dc.identifier.issn1468-0262en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/93649
dc.publisherWiley Periodicals, Inc.en_US
dc.publisherBlackwell Publishing Ltden_US
dc.subject.otherRandom Coefficients Logit Demanden_US
dc.subject.otherNumerical Methodsen_US
dc.subject.otherDynamicsen_US
dc.subject.otherConstrained Optimizationen_US
dc.titleImproving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimationen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDept. of Economics, University of Michigan, Ann Arbor, MI 48109, U.S.A. and NBER; jtfox@umich.eduen_US
dc.contributor.affiliationotherUniversity of Chicago Booth School of Business, Chicago, IL 60637, U.S.A.; Che‐Lin.Su@chicagobooth.eduen_US
dc.contributor.affiliationotherUniversity of Chicago Booth School of Business, Chicago, IL 60637, U.S.A. and NBER; jdube@chicagobooth.eduen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/93649/1/ECTA8585.pdf
dc.identifier.doi10.3982/ECTA8585en_US
dc.identifier.sourceEconometricaen_US
dc.identifier.citedreferenceMelnikov, O. ( 2001 ): “ Demand for Differentiated Durable Products: The Case of the U.S. Computer Printer Market,” Working Paper, Yale University.en_US
dc.identifier.citedreferenceGriewank, A., and G. F. Corliss ( 1992 ): Automatic Differentiation of Algorithms: Theory, Implementation, and Application. Philadelphia, PA: SIAM.en_US
dc.identifier.citedreferenceHendel, I., and A. Nevo ( 2007 ): “ Measuring the Implications of Sales and Consumer Inventory Behavior,” Econometrica, 74 ( 16 ), 1637 – 1673. DOI: 10.1111/j.1468-0262.2006.00721.xen_US
dc.identifier.citedreferenceJudd, K. L. ( 1992 ): “ Projection Methods for Solving Aggregate Growth Models,” Journal of Economic Theory, 58 ( 2 ), 410 – 452. DOI: 10.1016/0022-0531(92)90061-Len_US
dc.identifier.citedreferenceJudd, K. L. ( 1998 ): Numerical Methods in Economics. Cambridge, MA: MIT Press.en_US
dc.identifier.citedreferenceKnittel, C. R., and K. Metaxoglou ( 2008 ): “ Estimation of Random Coefficient Demand Models: Challenges, Difficulties and Warnings,” Working Paper, MIT.en_US
dc.identifier.citedreferenceLee, R. S. ( 2010 ): “ Vertical Integration and Exclusivity in Platform and Two‐Sided Markets,” Working Paper, New York University.en_US
dc.identifier.citedreferenceLeyffer, S., and T. Munson ( 2009 ): “ A Globally Convergent Filter Method for MPECs,” Preprint ANL/MCS‐P1565‐1208, Argonne National Laboratory.en_US
dc.identifier.citedreferenceLeyffer, S., G. Lopez‐Calva, and J. Nocedal ( 2006 ): “ Interior Methods for Mathematical Programs With Complementarity Constraints,” SIAM Journal on Optimization, 17 ( 1 ), 52 – 77. DOI: 10.1137/040621065en_US
dc.identifier.citedreferenceLuo, Z.‐Q., J.‐S. Pang, and D. Ralph ( 1996 ): Mathematical Programs With Equilibrium Constraints. Cambridge, U.K.: Cambridge University Press. DOI: 10.1017/CBO9780511983658en_US
dc.identifier.citedreferenceMcKinnon, K. I. M. ( 1998 ): “ Convergence of the Nelder–Mead Simplex Method to a Nonstationary Point,” SIAM Journal on Optimization, 9 ( 1 ), 148 – 158. DOI: 10.1137/S1052623496303482en_US
dc.identifier.citedreferenceNair, H. ( 2007 ): “ Intertemporal Price Discrimination With Forward‐Looking Consumers: Application to the US Market for Console Video‐Games,” Quantitative Marketing and Economics, 5 ( 3 ), 239 – 292. DOI: 10.1007/s11129-007-9026-4en_US
dc.identifier.citedreferenceNevo, A. ( 2000 ): “ A Practitioner's Guide to Estimation of Random Coefficients Logit Models of Demand,” Journal of Economics and Management Strategy, 9 ( 4 ), 513 – 548. DOI: 10.1162/105864000567954en_US
dc.identifier.citedreferenceNevo, A. ( 2001 ): “ Measuring Market Power in the Ready‐to‐Eat Cereal Industry,” Econometrica, 69 ( 2 ), 307 – 342. DOI: 10.1111/1468-0262.00194en_US
dc.identifier.citedreferenceNocedal, J., and S. J. Wright ( 2006 ): Numerical Optimization. New York: Springer.en_US
dc.identifier.citedreferencePetrin, A., and K. Train ( 2010 ): “ Control Function Corrections for Unobserved Factors in Differentiated Product Models,” Journal of Marketing Research, 47 ( 1 ), 3 – 13. DOI: 10.1509/jmkr.47.1.3en_US
dc.identifier.citedreferenceRobinson, S. M. ( 1974 ): “ Perturbed Kuhn–Tucker Points and Rates of Convergence for a Class of Nonlinear‐Programming Algorithms,” Mathematical Programming, 7 ( 1 ), 1 – 16. DOI: 10.1007/BF01585500en_US
dc.identifier.citedreferenceRust, J. ( 1987 ): “ Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher,” Econometrica, 55 ( 5 ), 999 – 1033. DOI: 10.2307/1911259en_US
dc.identifier.citedreferenceRust, J. ( 1988 ): “ Maximum Likelihood Estimation of Discrete Control Processes,” SIAM Journal on Control and Optimization, 26 ( 5 ), 1006 – 1024. DOI: 10.1137/0326056en_US
dc.identifier.citedreferenceSchiraldi, P. ( 2011 ): “ Automobile Replacement: A Dynamic Structural Approach,” RAND Journal of Economics, 42 ( 2 ), 266 – 291. DOI: 10.1111/j.1756-2171.2011.00133.xen_US
dc.identifier.citedreferenceSu, C.‐L., and K. L. Judd ( 2012 ): “ Constrained Optimization Approaches to Estimation of Structural Models,” Econometrica, 80 ( 5 ), 2213 – 2230. DOI: 10.3982/ECTA7925en_US
dc.identifier.citedreferenceWaltz, R. A., and T. D. Plantenga ( 2009 ): “ KNITRO 6.0 User's Manual,” Ziena Optimization, Inc.en_US
dc.identifier.citedreferenceWright, M. H. ( 1996 ): “ Direct Search Method: Once Scorned, Now Respectable,” in Numerical Analysis 1995: Proceedings of the 1995 Dundee Biennial Conference in Numerical Analysis, ed. by D. F. Griffiths and G. A. Watson. Harlow, U.K.: Addison Wesley Longman, 191 – 208.en_US
dc.identifier.citedreferenceAckerberg, D., J. Geweke, and J. Hahn ( 2009 ): “ Comments on ‘Convergence Properties of the Likelihood of Computed Dynamic Models’,” by J. Fernandez‐Villaverde, J. F. Rubio‐Ramirez, and J. S. Santos, Econometrica, 77 ( 6 ), 2009 – 2017. DOI: 10.3982/ECTA7669en_US
dc.identifier.citedreferenceBerry, S. ( 1994 ): “ Estimating Discrete‐Choice Models of Product Differentiation,” RAND Journal of Economics, 25 ( 2 ), 242 – 262. DOI: 10.2307/2555829en_US
dc.identifier.citedreferenceBerry, S., and P. A. Haile ( 2011 ): “ Identification in Differentiated Products Markets Using Market Level Data,” Working Paper, Yale University.en_US
dc.identifier.citedreferenceBerry, S., and A. Pakes ( 2007 ): “ The Pure Characteristics Demand Model,” International Economic Review, 48 ( 4 ), 1193 – 1225. DOI: 10.1111/j.1468-2354.2007.00459.xen_US
dc.identifier.citedreferenceBerry, S., A. Gandhi, and P. Haile ( 2011 ): “ Connected Substitutes and Invertibility of Demand,” Working Paper, Yale University.en_US
dc.identifier.citedreferenceBerry, S., J. Levinsohn, and A. Pakes ( 1995 ): “ Automobile Prices in Market Equilibrium,” Econometrica, 63 ( 4 ), 841 – 890. DOI: 10.2307/2171802en_US
dc.identifier.citedreferenceBerry, S., O. B. Linton, and A. Pakes ( 2004 ): “ Limit Theorems for Estimating the Parameters of Differentiated Product Demand Systems,” Review of Economic Studies, 71 ( 3 ), 613 – 654. DOI: 10.1111/j.1467-937X.2004.00298.xen_US
dc.identifier.citedreferenceByrd, R. H., M. E. Hribar, and J. Nocedal ( 1999 ): “ An Interior Point Method for Large Scale Nonlinear Programming,” SIAM Journal on Optimization, 9 ( 4 ), 877 – 990. DOI: 10.1137/S1052623497325107en_US
dc.identifier.citedreferenceByrd, R. H., J. Nocedal, and R. A. Waltz ( 2006 ): “ KNITRO: An Integrated Package for Nonlinear Optimization,” in Large‐Scale Nonlinear Optimization, ed. by G. Di Pillo and M. Roma. New York: Springer, 35 – 59. DOI: 10.1007/0-387-30065-1_4en_US
dc.identifier.citedreferenceCarranza, J. E. ( 2010 ): “ Product Innovation and Adoption in Market Equilibrium: The Case of Digital Cameras,” International Journal of Industrial Organization, 28 ( 6 ), 604 – 618. DOI: 10.1016/j.ijindorg.2010.02.003en_US
dc.identifier.citedreferenceChiappori, P.‐A., and I. Kommunjer. ( 2009 ): “ On the Nonparametric Identification of Multiple Choice Models,” Working Paper, Columbia University.en_US
dc.identifier.citedreferenceDahlquist, G., and Å. Björck ( 2008 ): Numerical Methods in Scientific Computing. Philadelphia, PA: SIAM. DOI: 10.1137/1.9780898717785en_US
dc.identifier.citedreferenceDubé, J.‐P., J. T. Fox, and C.‐L. Su ( 2012 ): “ Supplement to ‘Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation’,” Econometrica Supplemental Material, 80, http://www.econometricsociety.org/ecta/Supmat/8585_extensions.pdf; http://www.econometricsociety.org/ecta/Supmat/8585_data_and_programs.zip.en_US
dc.identifier.citedreferenceDubé, J.‐P., G. Hitsch, and P. Chintagunta ( 2010 ): “ Tipping and Concentration in Markets With Indirect Network Effects,” Marketing Science, 29 ( 2 ), 216 – 249. DOI: 10.1287/mksc.1090.0541en_US
dc.identifier.citedreferenceFox, J. T., and A. Gandhi ( 2011 ): “ Identifying Demand With Multidimensional Unobservables: A Random Functions Approach,” Working Paper, University of Michigan.en_US
dc.identifier.citedreferenceFox, J. T., K.‐I. Kim, S. P. Ryan, and P. Bajari ( 2012 ): “ The Random Coefficients Logit Model Is Identified,” Journal of Econometrics, 166 ( 2 ), 204 – 212. DOI: 10.1016/j.jeconom.2011.09.002en_US
dc.identifier.citedreferenceGordon, B. ( 2009 ): “ A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry,” Marketing Science, 28 ( 5 ), 846 – 867. DOI: 10.1287/mksc.1080.0448en_US
dc.identifier.citedreferenceGowrisankaran, G., and M. Rysman ( 2011 ): “ Dynamics of Consumer Demand for New Durable Goods,” Working Paper, The University of Arizona.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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