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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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Corporate Investment and Bank-Dependent Borrowers During the Recent Financial Crisis

TL;DR: In this article, the effect of bank credit tightening on real firm investment was analyzed using the recent financial crisis period to analyse the effect on real firms' investment and derive a new set of credit tightening indexes from the ECB Bank Lending Survey.
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Elasticities of transport fuels at times of economic crisis : an empirical analysis for Spain

TL;DR: In this article, the authors provide an updated calculation of the price and income responsiveness of Spanish consumers of transport fuels, with an explicit exploration of the effects of the recent economic crisis, and examine separate gasoline and diesel demand models using a set of estimators on a panel of 16 Spanish regions over the period 1999-2015.
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Macroeconomic Conditions, Innovation and Competitiveness

TL;DR: In this paper, the authors examined the possible impact of key macroeconomic factors on competitiveness at the national level and aimed to demonstrate how competitiveness in emerging economies are differentially driven by the interplay between innovation activities and macro economic factors.
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Property Prices and Bank Lending: Some Evidence from China's Regional Financial Centres

TL;DR: The conclusion is given that bank lending plays an important role in pushing up property prices and property price indeed follows a dynamic process and the property prices of Beijing, Shanghai and Shenzhen change in a more stable way.
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Persistence of innovation, technological change and quality-adjusted patents in the US Pharmaceutical industry

TL;DR: The authors evaluate the impact of past innovative activity on firms' innovation propensities using a non-linear GMM estimator for exponential models that allows for predetermined regressors and linear feedback and find that innovative activity at the firm level depends strongly on the technological importance of past innovations.
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