02675cam a22002657 4500001000600000003000500006005001700011008004100028100002100069245017200090260006600262490005100328500001500379520143300394530006101827538007201888538003601960690008801996690011002084700002402194710004202218830008602260856003702346856002602383t0272NBER20140822152002.0140822s2001 mau||||fs|||| 000 0 eng d1 aBajari, Patrick.10aDemand Estimation With Heterogeneous Consumers and Unobserved Product Characteristicsh[electronic resource]:bA Hedonic Approach /cPatrick Bajari, C. Lanier Benkard. aCambridge, Mass.bNational Bureau of Economic Researchc2001.1 aNBER technical working paper seriesvno. t0272 aJuly 2001.3 aWe study the identification and estimation of preferences in hedonic discrete choice models of demand for differentiated products. In the hedonic discrete choice model, products are represented as a finite dimensional bundle of characteristics, and consumers maximize utility subject to a budget constraint. Our hedonic model also incorporates product characteristics that are observed by consumers but not by the economist. We demonstrate that, unlike the case where all product characteristics are observed, it is not in general possible to uniquely recover consumer preferences from data on a consumer's choices. However, we provide several sets of assumptions under which preferences can be recovered uniquely, that we think may be satisfied in many applications. Our identification and estimation strategy is a two stage approach in the spirit of Rosen (1974). In the first stage, we show under some weak conditions that price data can be used to nonparametrically recover the unobserved product characteristics and the hedonic pricing function. In the second stage, we show under some weak conditions that if the product space is continuous and the functional form of utility is known, then there exists an inversion between a consumer's choices and her preference parameters. If the product space is discrete, we propose a Gibbs sampling algorithm to simulate the population distribution of consumers' taste coefficients. aHardcopy version available to institutional subscribers. aSystem requirements: Adobe [Acrobat] Reader required for PDF files. aMode of access: World Wide Web. 7aD1 - Household Behavior and Family Economics2Journal of Economic Literature class. 7aC1 - Econometric and Statistical Methods and Methodology: General2Journal of Economic Literature class.1 aBenkard, C. Lanier.2 aNational Bureau of Economic Research. 0aTechnical Working Paper Series (National Bureau of Economic Research)vno. t0272.4 uhttp://www.nber.org/papers/t0272 uurn:doi:10.3386/t0272