Exact computation of GMM estimators for instrumental variable quantile regression models

B-Tier
Journal: Journal of Applied Econometrics
Year: 2018
Volume: 33
Issue: 4
Pages: 553-567

Authors (2)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We show that the generalized method of moments (GMM) estimation problem in instrumental variable quantile regression (IVQR) models can be equivalently formulated as a mixed‐integer quadratic programming problem. This enables exact computation of the GMM estimators for the IVQR models. We illustrate the usefulness of our algorithm via Monte Carlo experiments and an application to demand for fish.

Technical Details

RePEc Handle
repec:wly:japmet:v:33:y:2018:i:4:p:553-567
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25