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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
By simulations, we find the specification test based on moment conditions is able to outperform the Lagrange multiplier test proposed by Gurmu [5].
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, we examine the specification tests which have been proposed for fixed effects in binary panel data model, using several different data generating processes to evaluate the performance of the specification test in different situations.
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Key Findings & Data:In this paper, we examine the specification tests which have been proposed for fixed effects in binary panel data model, using several different data generating processes to evaluate the performance of the specification test in different situations.
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Conclusion & Impact:By simulations, we find the specification test based on moment conditions is able to outperform the Lagrange multiplier test proposed by Gurmu [5].
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Specification test · Fixed effects · Binary panel data
Abstract
In this paper, we examine the specification tests which have been proposed for fixed effects in binary panel data model, using several different data generating processes to evaluate the performance of the specification test in different situations. By simulations, we find the specification test based on moment conditions is able to outperform the Lagrange multiplier test proposed by Gurmu [5].
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Cite This Article
Yu, G., Wang, W., Lu, M., Wang, S. (2015). Specification test for fixed effects in binary panel data model: a simulation study. Hacettepe Journal of Mathematics and Statistics, Volume: 44 Issue: 3. https://ajindex.com/articles/1403297