Q2. What are the future works in "Threshold e!ects in non-dynamic panels: estimation, testing, and inference" ?
These would be useful subjects for future research.
Threshold effects in non-dynamic panels: Estimation, testing, and inference
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TLDR
In this article, a non-standard asymptotic theory of inference is developed which allows construction of confidence intervals and testing of hypotheses, and the methods are applied to a 15-year sample of 565 US firms to test whether financial constraints affect investment decisions.About:
This article is published in Journal of Econometrics.The article was published on 1999-12-01 and is currently open access. It has received 3019 citations till now. The article focuses on the topics: Statistical hypothesis testing & Regression analysis.read more
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Econometric Analysis of Panel Data
TL;DR: In this article, the authors proposed a two-way error component regression model for estimating the likelihood of a particular item in a set of data points in a single-dimensional graph.
Journal ArticleDOI
Panel data analysis—advantages and challenges
Cheng Hsiao,Cheng Hsiao +1 more
TL;DR: The proliferation of panel data studies is explained in terms of data availability, the more heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow, and challenging methodology.
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Does too much finance harm economic growth
Siong Hook Law,Nirvikar Singh +1 more
TL;DR: In this article, the relationship between finance and economic growth using an innovative dynamic panel threshold technique has been investigated in 87 developed and developing countries, and the empirical results indicate that there is a threshold effect in the finance-growth relationship and that the level of financial development is beneficial to growth only up to a certain threshold.
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Threshold Effects in the Relationship Between Inflation and Growth
TL;DR: In this paper, the authors reexamine the existence of threshold effects in the relationship between inflation and growth, using new econometric techniques that provide appropriate procedures for estimation and inference.
Journal Article
The real effects of debt
Stephen G. Cecchetti,Stephen G. Cecchetti,Stephen G. Cecchetti,Madhusudan Mohanty,Fabrizio Zampolli +4 more
TL;DR: In this paper, the authors used a new dataset that includes the level of government, non-financial corporate and household debt in 18 OECD countries from 1980 to 2010, and found that, beyond a certain level, debt is a drag on growth.
References
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Journal ArticleDOI
Estimating and testing linear models with multiple structural changes
Jushan Bai,Pierre Perron +1 more
TL;DR: In this article, the authors developed the statistical theory for testing and estimating multiple change points in regression models, and several test statistics were proposed to determine the existence as well as the number of change points.
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Financing Constraints and Corporate Investment
TL;DR: In this paper, the authors examine the importance of a financing hierarchy created by capital-market imperfections and find that investment is more sensitive to cash flow for the group of firms that are most likely to face external finance constraints.
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Optimal Tests When a Nuisance Parameter is Present Only under the Alternative
TL;DR: In this paper, the authors derived asymptotically optimal tests for testing problems in which a nuisance parameter exists under the alternative hypothesis but not under the null, using a weighted average power criterion.
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Sample Splitting and Threshold Estimation
TL;DR: In this paper, the authors developed a statistical theory for threshold estimation in the regression context, which is shown to yield asymptotically conservative confidence regions and Monte Carlo simulations are presented to assess the accuracy.
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Inference when a nuisance parameter is not identified under the null hypothesis
TL;DR: In this paper, the asymptotic distribution of standard test statistics is described as functionals of chi-square processes, and a transformation based upon a conditional probability measure yields an asymptic distribution free of nuisance parameters, which can be easily approximated via simulation.
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