University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Business & Economics
  • Economics
  • Economics - Research Publications
  • View Item
  • Minerva Access
  • Business & Economics
  • Economics
  • Economics - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    feologit: A new command for fitting fixed-effects ordered logit models

    Thumbnail
    Download
    Accepted version (418.1Kb)

    Citations
    Scopus
    Web of Science
    Altmetric
    2
    1
    Author
    Baetschmann, G; Ballantyne, A; Staub, KE; Winkelmann, R
    Date
    2020-06
    Source Title
    The Stata Journal
    Publisher
    SAGE Publications
    University of Melbourne Author/s
    Staub, Kevin; Ballantyne, Alexander
    Affiliation
    Economics
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Baetschmann, G., Ballantyne, A., Staub, K. E. & Winkelmann, R. (2020). feologit: A new command for fitting fixed-effects ordered logit models. The Stata Journal: Promoting communications on statistics and Stata, 20 (2), pp.253-275. https://doi.org/10.1177/1536867x20930984.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/258556
    DOI
    10.1177/1536867x20930984
    ARC Grant code
    ARC/DE170100644
    Abstract
    In this article, we describe how to fit panel-data ordered logit models with fixed effects using the new community-contributed command feologit. Fixed-effects models are increasingly popular for estimating causal effects in the social sciences because they flexibly control for unobserved time-invariant heterogeneity. The ordered logit model is the standard model for ordered dependent variables, and this command is the first in Stata specifically for this model with fixed effects. The command includes a choice between two estimators, the blowup and cluster (BUC) estimator introduced in Baetschmann, Staub, and Winkelmann (2015, Journal of the Royal Statistical Society, Series A 178: 685–703) and the BUC- τ estimator in Baetschmann (2012, Economics Letters 115: 416–418). Baetschmann, Staub, and Winkelmann (2015) showed that the BUC estimator has good properties and is almost as efficient as more complex estimators such as generalized method-of-moments and empirical likelihood estimators. The command and model interpretations are illustrated with an analysis of the effect of parenthood on life satisfaction using data from the German Socio-Economic Panel. </jats:p>

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [53039]
    • Economics - Research Publications [588]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors