Alternative Techniques for Estimation of Cross-Section Gravity Models

Abstract

This paper compares four different estimators with respect to their suitability for cross-section gravity model estimation. In many circumstances, a Hausman–Taylor approach can be recommended. This framework may provide consistent parameter estimates, when OLS or the traditional random-effects model are biased. In contrast to the fixed-effects approach, it allows to estimate parameters of variables such as GDP or GDP per capita, which vary only in a single dimension. The Hausman–Taylor model deserves attention in the estimation of cross-sectional gravity models.

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 — 112 citations exist upstream.

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