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Moment Conditions for Dynamic Panel Logit Models with Fixed Effects

Bo E. Honoré, Martin Weidner

arXiv 12 May 2020 · Econometrics · publishedThe Review of Economic Studies (2024) · 31 citations (OpenAlex)

arXiv:2005.05942 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper investigates the construction of moment conditions in discrete choice panel data with individual specific fixed effects. We describe how to systematically explore the existence of moment conditions that do not depend on the fixed effects, and we demonstrate how to construct them when they exist. Our approach is closely related to the numerical "functional differencing" construction in Bonhomme (2012), but our emphasis is to find explicit analytic expressions for the moment functions. We first explain the construction and give examples of such moment conditions in various models. Then, we focus on the dynamic binary choice logit model and explore the implications of the moment conditions for identification and estimation of the model parameters that are common to all individuals.

Citation extraction

36
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Honoré and Kyriazidou (2000) Panel data discrete choice models with lagged dependent variables1.00054100%
2Dobronyi, Gu, and Kim (2021) Identification of Dynamic Panel Logit Models with Fixed Effects0.92844100%
3Dano (2023) Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models0.92843100%
4Bonhomme (2012) Functional differencing0.92843100%
5Davezies, D'Haultfoeuille, and Mugnier (2022) Fixed Effects Binary Choice Models with Three or More Periods0.92843100%
6Rasch (1960) Studies in mathematical psychology: I0.92843100%
7Honoré, Muris, and Weidner (2021) Dynamic Ordered Panel Logit Models self0.8434475%
8Andersen (1970) Asymptotic properties of conditional maximum-likelihood estimators0.84333100%
9Kitazawa (2013) Exploration of dynamic fixed effects logit models from a traditional angle0.81142100%
10Honoré and Weidner (2022) Moment Conditions for Dynamic Panel Logit Models with Fixed Effects0.76911445%

Showing the top 10 of 36 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Identification of Dynamic Panel Logit Models with Fixed Effects We thank Victor Aguirregabiria, Roger Koenker, Ismael Mourifié and Stanislav Volgushev for useful discussion. We are grateful to numerous seminar participants for their feedback, and are especially grateful to Francesca Molinari and three anonymous referees for their helpful comments. All errors are our own1.000174
2Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models1.00097
3Binary choice logit models with general fixed effects for panel and network data1.00053
4Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models0.827236
5Sufficient Statistics for Markovian Feedback Process and Unobserved Heterogeneity in Dynamic Panel Logit Models0.73732
6Moment Restrictions for Nonlinear Panel Data Models with Feedback0.64422
7Fixed Effects Binary Choice Models with Three or More Periods0.40511
8Debiased Fixed Effects Estimation of Binary Logit Models with Three-Dimensional Panel Data0.40511
9Inference in partially identified moment models via regularized optimal transport0.40511
10(Debiased) Inference for Fixed Effects Estimators with Three-Dimensional Panel and Network Data0.40511