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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.

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Environmental Dynamism, Firm Size and the Economic Productivity of R&D

TL;DR: In this paper, a contingent framework was proposed to investigate the effects of small firms' size on the returns to research and development (R&D) investments, and the results showed that technological, but not market, dynamism negatively moderated the effect of firm size on economic productivity of R&D.
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The impact of economic complexity on embodied carbon emission in trade: new empirical evidence from cross-country panel data

TL;DR: In this paper, the authors examined the relationship between economic complexity and embodied carbon emissions based on cross-country panel data and found that the improvement of economic complexity can decrease the marginal effects of export scale and export structure on foreign EEE (but not domestic EEE) significantly, while the marginal positive impacts of technology on EEE can be further enhanced by economic complexity growth.
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Efficient Estimation of Non-Linear Dynamic Panel Data Models with Application to Smooth Transition Models

TL;DR: In this paper, the authors explore estimation of a class of non-linear dynamic panel data models with additive unobserved individual-specific effects and derive an efficient set of moment restrictions for estimation and apply the results to estimation of panel smooth transition models.
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Impacts of the natural gas infrastructure and consumption on fine particulate matter concentration in China's prefectural cities: A new perspective from spatial dynamic panel models

TL;DR: In this paper, the authors investigated the impacts of natural gas infrastructures and consumption on the annual average PM2.5 concentrations covering 204 of China's prefecture-level cities during the period from 2008 to 2016.
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Agglomeration Externalities and the Productivity of Italian Firms

Giorgio Fazio, +1 more
- 01 Sep 2015 - 
TL;DR: In this article, a large dataset of small and medium enterprises is first employed to estimate firm-level total factor productivity (TFP), then dynamic panel and instrumental variables estimation methods are used to assess the effects of agglomeration externalities.
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