Endogeneity in Residential Location Choice Models

By C. Angelo Guevara, Moshe E. Ben-Akiva. 2006

131 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/dab8e13c4fc355a68d60fcf2851a740f809558d0

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Citations in the corpus

Latent lifestyle preferences and household location decisions (2007, background): “…(see, for example, Greene 2003), and issues of endogeneity and measurement error in discrete choice analysis are becoming more prominent in the literature (see, for example, Louviere et al. 2005, for a general discussion or Guevara and Ben-Akiva 2006, for an application to residential choice).”
Death by a Thousand Curb-cuts: Evidence on the effect of minimum parking requirements on the choice to drive (2012, unknown): “Using a control function as a generalization of the instrumental variable approach (Guevara and Ben-Akiva, 2006) we estimate auto ownership as a function of parking and other explanatory variables including four instrumental variables, which are correlated with auto ownership but not mode choice.”
Correcting for endogeneity in behavioral choice models with social influence variables (2011, methodology): “The primary methods he covers are BLP (Berry, Levinsohn and Pakes, 1995 and 2004) and the control function approach (Hausman, 1978; Heckman, 1978) and its full maximum likelihood extension (as in Villas-Boas and Winer, 1999). The reader is referred to Train (2009) for a description of these methods,”
Estimating flight-level price elasticities using online airline data: A first step toward integrating pricing, demand, and revenue optimization (2014, result): “price coefficient in the 2SLS regression becomes more negative, a trend which is consistent with prior findings in the literature (e.g., Berry et al., 1995, 2004; Branstetter et al., 2011; Goolsbee and Petrin, 2004; Guevara and Ben-Akiva, 2006; Guevara-Cue, 2010; Train and Winston, 2007; Pekgün et a”
Discrete choice models with capacity constraints: an empirical analysis of the housing market of the greater Paris region (2007, background): “It is therefore necessary to address this source of endogeneity bias in the estimation process (see the seminal article by [4] in the automobile market context; [6] or [8] in the location choice context; or [10] for a recent survey on endogeneity problems in DCM.”