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Dynamic panel data models: a guide to microdata methods and practice
TLDR
In this article, the focus is on panels where a large number of individuals or firms are observed for a small number of time periods, typical of applications with microeconomic data, and the emphasis is on single equation models with autoregressive dynamics and explanatory variables.Abstract:
This paper reviews econometric methods for dynamic panel data models, and presents examples that illustrate the use of these procedures. The focus is on panels where a large number of individuals or firms are observed for a small number of time periods, typical of applications with microeconomic data. The emphasis is on single equation models with autoregressive dynamics and explanatory variables that are not strictly exogenous, and hence on the Generalised Method of Moments estimators that are widely used in this context. Two examples using firm-level panels are discussed in detail: a simple autoregressive model for investment rates; and a basic production function.read more
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Factors influencing debt financing within State-owned corporations in Kenya
TL;DR: In this article, the authors investigated the factors influencing debt financing, using data from corporations within the public sector and from a developing economy, using the fixed effects (FE), random effects (RE) and the general methods of moments (GMM), using the panel data regression analysis.
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Specialization and Diverging Manufacturing Structures: The Aftermath of Trade Policy Reforms in Developing Countries
TL;DR: In this paper, the authors investigated the effect of trade policy on the overall degree of countries' specialization and found that preferential trade liberalization and differences in the degree of unilateral openness have resulted in increased dissimilarities in manufacturing production structures across countries.
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Moderation of the Relationship Between Size of Government and Corruption by Democracy
Nedra Baklouti,Younes Boujelbene +1 more
TL;DR: In this paper, the authors investigated the effect of government size on corruption by taking into account the role of the democracy in each country and found that an increase in government size can lead to a decrease in corruption if the democracy level is sufficiently high and, in contrast, it can result in an increase of corruption if it is too low.
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Random autoregressive models: A structured overview
TL;DR: In this paper, a model characterized by autoregressive structure and random coefficients is proposed for the analysis of high-frequency, high-dimensional and volatile time series, which can be used for time series analysis.
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The impact of COVID-19 on financial structure and performance of Islamic banks: a comparative study with conventional banks in the GCC countries
TL;DR: In this paper , the authors compared the financial evolution of Islamic and conventional banks in the Gulf Cooperative Council (GCC) countries before and during the COVID-19 pandemic and explored the key success factors that might affect Islamic and traditional banks performance.
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