Toward more general hedonic estimation: Clarifying the roles of alternative experimental designs with an application to a housing attribute

Michael Eriksen, Thomas Kniesner, Chris Rohlfs and Ryan Sullivan

Regional Science and Urban Economics, 2016, vol. 57, issue C, 54-62

Abstract: 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 willingness to pay for an attribute in the presence of such known hazards to identification based on randomized experiments. Three experimental approaches are introduced on how to estimate attribute demand that address known biases, have transparent identification assumptions, and are feasible to implement. We apply one of the estimators developed to measure the marginal value placed by householders on subsidized carbon monoxide detectors.

Keywords: Hedonic; Identification; Field experiment; Marginal willingness to pay; Heterogeneous goods; Endogenous attributes (search for similar items in EconPapers)
JEL-codes: C31 C35 C9 D12 D61 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:regeco:v:57:y:2016:i:c:p:54-62

DOI: 10.1016/j.regsciurbeco.2016.01.001

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