Meta‐analysis in model implementation: choice sets and the valuation of air quality improvements

Abstract

Abstract This research illustrates how the methods developed for meta‐analysis can serve to document and summarize voluminous information derived from repeated sensitivity analyses. Our application is to the sensitivity of welfare estimates derived from discrete choice models to assumptions about the choice set. These assumptions affect welfare estimates through both the estimated parameters of the model and, conditional on the parameters, the substitution among alternatives. In our specific application, the evaluation is in terms of estimated benefits of air quality improvements in Los Angeles based on discrete choices of neighborhood and housing. Copyright © 2007 John Wiley & Sons, Ltd.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 54 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.