This paper develops a generalized hedonic model in which an exogenous shock to a single product attribute can affect other attributes, the markets for the product's complements and substitutes, and aggregate quantity produced. These factors are shown to be empirically relevant and to cause bias...

This paper develops a generalized hedonic model in which an exogenous shock to a single product attribute can affect other attributes, the markets for the product's complements and substitutes, and aggregate quantity produced. These factors are shown to be empirically relevant and to cause bias...

This chapter focuses on neighborhood effects in housing markets. Households in effect choose neighborhood effects, or more generally social interactions, via their location decisions, which renders them endogenous. Across several classes of models that it examines, it emphasizes how we may...

Traditional hedonic estimation approaches are known to be biased when exogenous shocks affect multiple product attributes, the market for the product's complements and substitutes, and aggregate quantity produced. Our research develops a more general hedonic model to recover the marginal...

As part of the Resources for the Future Frontiers of Environmental Economics collection of papers, we consider the problem of general equilibrium feedback effects in non-price space as they relate to non-market valuation. Our overall objective is to examine the extent to which nonprice...

This paper considers the identification and estimation of hedonic models. We establish that in an additive version of the hedonic model, technology and preferences are generically identified up to affine transformations from data on demand and supply in a single hedonic market. For a very...

This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and spatial error components. We study the general case where spatial effects are incorporated via spatial errors terms and via a spatial lag dependent variable and where the...

This paper estimates and compares methods of constructing disaggregated house price indices from existing house price models using individual sales data for Sydney. Nine alternative house price models are selected to cover the most frequently used methods in the literature: the mean model,...

This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and spatial error components. We study the general case where spatial effects are incorporated via spatial errors terms and via a spatial lag dependent variable and where the...