Estimation of dynamic panel threshold model using Stata
Open accessAbstract
In this article, we develop a command, xthenreg, that implements the first-differenced generalized method of moments estimation of the dynamic panel threshold model that Seo and Shin (2016, Journal of Econometrics 195: 169–186) proposed. Furthermore, we derive the asymptotic variance formula for a kink-constrained generalized method of moments estimator of the dynamic threshold model and provide an estimation algorithm. We also propose a fast bootstrap algorithm to implement the bootstrap for the linearity test. We illustrate the use of xthenreg through a Monte Carlo simulation and an economic application.
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The first-differenced GMM estimation addresses possible endogeneity in the panel threshold model.
“Therefore, we use the first-differenced GMM (FD-GMM) estimation to address the possible endogeneity of the panel threshold model [79,80].”
From Digital financial inclusion and quality of economic growth (2023) · cites this paper as [79]
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- Authors
- Seo, M. H., Kim, S., & Kim, Y.-J.
- Affiliations
- Seoul National University (KR)
- University of Maryland, College Park (US)
- Hongik University (KR)
- Corresponding author
- Seo, Myung Hwan
- Kim, Sueyoul
- Kim, Young-Joo
- Venue
- The Stata Journal Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2019-09
- Volume
- 19
- Issue
- 3
- Pages
- 685-697
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W2919906414
- Cited by
- 352
- References
- 12
- Citations by year
- 2026: 72 · 2025: 86 · 2024: 62 · 2023: 61 · 2022: 33 · 2021: 24 · 2020: 12 · 2019: 2
- FWCI
- 22.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Stata Journal Promoting communications on statistics and Stata (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- dynamic panel threshold model, Stata command, asymptotic variance, bootstrap algorithm, linearity testing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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