Limited Dependent Variable Models Using Panel Data

Abstract

This paper presents a survey of the methods used in the estimation of limited dependent variable models with panel data. It first reviews some issues in the analysis of panel data when the dependent variables are continuous. The problems of fixed effects vs. random effects and serious correlation vs. state dependence are discussed with reference to continuous data. The paper then discusses these problems with reference to the panel logit, panel probit, and panel tobit models. The paper presents a comparative assessment of these 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 — 454 citations exist upstream.

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