Identification in Differentiated Products Markets

Literature Cited

1. Ackerberg D. 2003. Advertising learning and customer choice in experience good markets: a structural empirical examination. Int. Econ. Rev. 44:1007–40 [Google Scholar]
2. Allenby GM, Rossi PE. 1999. Marketing models of consumer heterogeneity. J. Econom. 89:57–78 [Google Scholar]
3. Altonji J, Matzkin RL. 2005. Cross-section and panel data estimators for nonseparable models with endogenous regressors. Econometrica 73:1053–102 [Google Scholar]
4. Andrews DWK. 2011. Examples of l² -complete and boundedly complete distributions Discuss. Pap. 1801, Cowles Found., Yale Univ., New Haven, CT [Google Scholar]
5. Armstrong TB. 2015. Large market asymptotics for differentiated product demand estimators with economic models of supply Work. Pap., Yale Univ., New Haven, CT
6. Athey S, Imbens GW. 2007. Discrete choice models with multiple unobserved choice characteristics. Int. Econ. Rev. 48:1159–92 [Google Scholar]
7. Bayer P, Ferreira F, McMillan R. 2007. A unified framework for measuring preferences for schools and neighborhoods. J. Polit. Econ. 115:588–638 [Google Scholar]
8. Bayer P, Timmins C. 2007. Estimating equilibrium models of sorting across locations. Econ. J. 117:353–74 [Google Scholar]
9. Berry ST. 1994. Estimating discrete choice models of product differentiation. RAND J. Econ. 23:242–62 [Google Scholar]
10. Berry ST, Gandhi A, Haile PA. 2013. Connected substitutes and invertibility of demand. Econometrica 81:2087–111 [Google Scholar]
11. Berry ST, Haile PA. 2014. Identification in differentiated products markets using market level data. Econometrica 82:1749–97 [Google Scholar]
12. Berry ST, Haile PA. 2015. Nonparametric identification of simultaneous equations models with a residual index structure Work. Pap., Yale Univ., New Haven, CT
13. Berry ST, Haile PA. 2016. Nonparametric identification of multinomial choice demand models with heterogeneous consumers Work. Pap., Yale Univ., New Haven, CT
14. Berry ST, Levinsohn J, Pakes A. 1995. Automobile prices in market equilibrium. Econometrica 60:889–917 [Google Scholar]
15. Berry ST, Levinsohn J, Pakes A. 1999. Voluntary export restraints on automobiles: evaluating a strategic trade policy. Am. Econ. Rev. 89:189–211 [Google Scholar]
16. Blundell R, Matzkin RL. 2014. Control functions in nonseparable simultaneous equations models. Quant. Econ. 5:271–95 [Google Scholar]
17. Blundell RW, Powell JL. 2004. Endogeneity in semiparametric binary response models. Rev. Econ. Stud. 71:655–79 [Google Scholar]
18. Bresnahan T. 1981. Departures from marginal cost pricing in the American automobile industry. J. Econom. 17:201–27 [Google Scholar]
19. Bresnahan T. 1982. The oligopoly solution concept is identified. Econ. Lett. 10:82–97 [Google Scholar]
20. Bresnahan T. 1987. Competition and collusion in the American automobile oligopoly: the 1955 price war. J. Ind. Econ. 35:457–82 [Google Scholar]
21. Bresnahan T. 1989. Empirical studies of industries with market power. The Handbook of Industrial Organization 2 R Schamlensee, R Willig 1011–57 Amsterdam: North-Holland [Google Scholar]
22. Briesch RA, Chintagunta PK, Matzkin RL. 2010. Nonparametric discrete choice models with unobserved heterogeneity. J. Bus. Econ. Stat. 28:291–307 [Google Scholar]
23. Bundorf K, Levin J, Mahoney N. 2012. Pricing and welfare in health plan choice. Am. Econ. Rev. 102:3214–48 [Google Scholar]
24. Burda M, Harding M, Hausman J. 2015. A Bayesian mixed logit-probit model for multinomial choice. J. Appl. Econ. 30:353–76 [Google Scholar]
25. Capps C, Dranove D, Satterthwaite M. 2003. Competition and market power in option demand markets. RAND J. Econ. 34:737–63 [Google Scholar]
26. Cardon J, Hendel I. 2001. Asymmetric information in health care and health insurance markets: evidence from the National Medical Expenditure Survey. RAND J. Econ. 32:408–27 [Google Scholar]
27. Chernozhukov V, Hansen C. 2005. An IV model of quantile treatment effects. Econometrica 73:245–61 [Google Scholar]
28. Chintagunta PK, Honoré BE. 1996. Investigating the effects of marketing variables and unobserved heterogeneity in a multinomial probit model. Int. J. Mark. Res. 13:1–15 [Google Scholar]
29. Eizenberg A. 2014. Upstream innovation and product variety in the United States home PC market. Rev. Econ. Stud. 81:1003–45 [Google Scholar]
30. Fan Y. 2013. Ownership consolidation and product characteristics: a study of the U.S. daily newspaper market. Am. Econ. Rev. 103:1598–628 [Google Scholar]
31. Fox J, Gandhi A. 2011. Identifying demand with multi-dimensional unobservables: a random functions approach Work. Pap., Univ. Wisconsin–Madison
32. Fox J, Gandhi A. 2016. Nonparametric identification and estimation of random coefficients in multinomial choice models. RAND J. Econ. 47:118–39 [Google Scholar]
33. Gale D, Nikaido H. 1965. The Jacobian matrix and global univalence of mappings. Math. Ann. 159:81–93 [Google Scholar]
34. Gentzkow M, Shapiro J. 2010. What drives media slant? Evidence from U.S. newspapers. Econometrica 78:35–71 [Google Scholar]
35. Goeree MS. 2008. Limited information and advertising in the US personal computer industry. Econometrica 76:1017–74 [Google Scholar]
36. Goldberg PK. 1995. Product differentiation and oligopoly in international markets: the case of the U.S. automobile industry. Econometrica 63:891–951 [Google Scholar]
37. Goldberg PK. 1998. The effects of the corporate average fuel economy standards in the automobile industry. J. Ind. Econ. 46:1–33 [Google Scholar]
38. Goldberg PK, Verboven F. 2001. The evolution of price dispersion in the European car market. Rev. Econ. Stud. 68:811–48 [Google Scholar]
39. Goolsbee A, Petrin A. 2004. The consumer gains from direct broadcast satellites and the competition with cable TV. Econometrica 72:351–81 [Google Scholar]
40. Gordon B, Hartmann WR. 2013. Advertising effects in presidential elections. Mark. Sci. 32:19–35 [Google Scholar]
41. Hastings J, Kane T, Staiger D. 2010. Heterogeneous preferences and the efficacy of public school choice Work. Pap., Brown Univ., Providence, RI
42. Hausman JA. 1996. Valuation of new goods under perfect and imperfect competition. The Economics of New Goods TF Bresnahan, RJ Gordon 209–48 Chicago: Univ. Chicago Press [Google Scholar]
43. Ho K. 2009. Insurer-provider networks in the medical care market. Am. Econ. Rev. 99:393–430 [Google Scholar]
44. Hoderlein S. 2009. Endogenous semiparametric binary choice models with heteroskedasticity Work. Pap. 747, Boston Coll., Chestnut Hill, MA
45. Hong H, Tamer E. 2003. Endogenous binary choice model with median restrictions. Econ. Lett. 80:219–25 [Google Scholar]
46. Honoré BE, Lewbel A. 2002. Semiparametric binary choice panel data models without strictly exogenous regressors. Econometrica 70:2053–63 [Google Scholar]
47. Hurwicz L. 1950. Generalization of the concept of identification. See Koopmans 1950 245–57
48. Ichimura H, Thompson TS. 1998. Maximum likelihood estimation of a binary choice model with random coefficients of unknown distribution. J. Econom. 86:269–95 [Google Scholar]
49. Koopmans TC. 1945. Statistical estimation of simultaneous economic relations. J. Am. Stat. Assoc. 40:448–66 [Google Scholar]
50. Koopmans TC. 1950. Statistical Inference in Dynamic Economic Models New York: Wiley
51. Koopmans TC, Reiersol O. 1950. The identification of structural characteristics. Ann. Math. Stat. 21:165–81 [Google Scholar]
52. Lau L. 1982. On identifying the degree of competitiveness from industry price and output data. Econ. Lett. 10:93–99 [Google Scholar]
53. Lehmann EL, Scheffe H. 1950. Completeness, similar regions, and unbiased estimation: part I. Sankhya 10:305–40 [Google Scholar]
54. Lehmann EL, Scheffe H. 1955. Completeness, similar regions, and unbiased estimation: part II. Sankhya 15:219–36 [Google Scholar]
55. Lewbel A. 1998. Semiparametric latent variable model estimation with endogenous or mismeasured regressors. Econometrica 66:105–21 [Google Scholar]
56. Lewbel A. 2000. Semiparametric qualitative response model estimation with unknown heteroscedasticity or instrumental variables. J. Econom. 97:145–77 [Google Scholar]
57. Lewbel A. 2006. Simple endogenous binary choice and selection panel model estimators Work. Pap. 613, Boston Coll., Chestnut Hill, MA
58. Lustig J. 2010. The welfare effects of adverse selection in privatized medicare Work. Pap., Boston Univ., Boston, MA
59. Magnac T, Maurin E. 2007. Identification and information in monotone binary models. J. Econom. 139:76–104 [Google Scholar]
60. Manski CF. 1975. Maximum score estimation of the stochastic utility model of choice. J. Econom. 3:205–28 [Google Scholar]
61. Manski CF. 1985. Semiparametric analysis of discrete response: asymptotic properties of the maximum score estimator. J. Econom. 27:313–33 [Google Scholar]
62. Manski CF. 1987. Semiparametric analysis of random effects linear models from binary panel data. Econometrica 55:357–62 [Google Scholar]
63. Manski CF. 1988. Identification of binary response models. J. Am. Stat. Assoc. 83:729–38 [Google Scholar]
64. Matzkin RL. 1992. Nonparametric and distribution-free estimation of the binary choice and threshold crossing models. Econometrica 60:239–70 [Google Scholar]
65. Matzkin RL. 1993. Nonparametric identification and estimation of polychotomous choice models. J. Econom. 58:137–68 [Google Scholar]
66. Matzkin RL. 2008. Identification in nonparametric simultaneous equations. Econometrica 76:945–78 [Google Scholar]
67. Matzkin RL. 2015. Estimation of nonparametric models with simultaneity. Econometrica 83:1–66 [Google Scholar]
68. McFadden D. 1974. Conditional logit analysis of qualitative choice behavior. Frontiers of Econometrics P Zarembka 105–42 New York: Academic [Google Scholar]
69. McFadden D. 1981. Econometric models of probabilistic choice. Structural Analysis of Discrete Data with Econometric Applications C Manski, D McFadden 198–272 Cambridge, MA: MIT Press [Google Scholar]
70. McFadden D, Talvitie A, Cosslett S, Hasan I, Johnson M. et al. 1977. Demand model estimation and validation Rep. UCB-ITS-SR077-9, Inst. Transp. Stud., Berkeley, CA
71. Mussa M, Rosen S. 1978. Monopoly and product quality. J. Econ. Theory 18:301–7 [Google Scholar]
72. Nair H, Chintagunta P, Dube JP. 2004. Empirical analysis of indirect network effects in the market for personal digital assistants. Quant. Mark. Econ. 2:23–58 [Google Scholar]
73. Neilson C. 2013. Targeted vouchers, competition among schools, and the academic achievement of poor students Work. Pap., Yale Univ., New Haven, CT
74. Nevo A. 2000. Mergers with differentiated products: the case of the ready-to-eat cereal industry. RAND J. Econ. 31:395–421 [Google Scholar]
75. Nevo A. 2001. Measuring market power in the ready-to-eat cereal industry. Econometrica 69:307–42 [Google Scholar]
76. Newey WK, Powell JL. 2003. Instrumental variable estimation in nonparametric models. Econometrica 71:1565–78 [Google Scholar]
77. Palais RS. 1959. Natural operations on differential forms. Trans. Am. Math. Soc. 92:125–41 [Google Scholar]
78. Petrin A. 2002. Quantifying the benefits of new products: the case of the minivan. J. Polit. Econ. 110:705–29 [Google Scholar]
79. Petrin A, Gandhi A. 2011. Identification and estimation in discrete choice demand models when endogeneous variables interact with the error Work. Pap., Univ. Minn., Minneapolis
80. Reynaert M, Verboven F. 2014. Improving the performance of random coefficients demand models: the role of optimal instruments. J. Econom. 179:83–98 [Google Scholar]
81. Rosse JN. 1970. Estimating cost function parameters without using cost function data: an illustrated methodology. Econometrica 38:256–75 [Google Scholar]
82. Rysman M. 2004. Competition between networks: a study of the market for yellow pages. Rev. Econ. Stud. 71:483–512 [Google Scholar]
83. Villas-Boas SB. 2007. Vertical relationships between manufacturers and retailers: inference with limited data. Rev. Econ. Stud. 74:625–52 [Google Scholar]
84. Waldfogel J. 2003. Preference externalities: an empirical study of who benefits whom in differentiated-product markets. RAND J. Econ. 34:557–68 [Google Scholar]