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Panel data econometrics in R: The plm package

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TLDR
The plm package as mentioned in this paper is a package for R which intends to make the estimation of linear panel models straightforward and provides functions to estimate a wide variety of models and to make (robust) inference.
Abstract
Panel data econometrics is obviously one of the main fields in the profession, but most of the models used are difficult to estimate with R. plm is a package for R which intends to make the estimation of linear panel models straightforward. plm provides functions to estimate a wide variety of models and to make (robust) inference.

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Fixed and random effects models: making an informed choice

TL;DR: Simulations reveal that failing to include random slopes can generate anti-conservative standard errors, and that assuming random intercepts are Normally distributed, when they are not, introduces only modest biases, which strengthens the case for the use of fixed and random effects models.
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splm: Spatial Panel Data Models in R

TL;DR: This paper considers the implementation of both maximum likelihood and generalized moments estimators in the context of fixed as well as random effects spatial panel data models and performs comparisons with other available software.
Journal ArticleDOI

The Influence of Firm Size on the ESG Score: Corporate Sustainability Ratings Under Review

TL;DR: In this paper, the authors used Thomson Reuters ASSET4 ESG ratings to analyze the influence of firm size, a company's available resources for providing ESG data, and the availability of a company’s ESGdata on the company's sustainability performance.
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The impact of urban expansion on agricultural land use intensity in China

TL;DR: Wang et al. as mentioned in this paper found that urban expansion is associated with a decline in agricultural land use intensity and that the area of cultivated land per capita, a measurement about land scarcity, is negatively correlated with agricultural land usage intensity.
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A meta-analysis of consumer willingness to pay for farm animal welfare

TL;DR: In this paper, the authors meta-analyse the literature on consumer willingness to pay (WTP) for FAW, examining 24 studies reporting 106 estimates of consumer FAW values.
References
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Journal ArticleDOI

Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.

TL;DR: In this article, the generalized method of moments (GMM) estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no strictly exogenous variables.
Report SeriesDOI

Initial conditions and moment restrictions in dynamic panel data models

TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
Journal ArticleDOI

Specification Tests in Econometrics

Jerry A. Hausman
- 01 Nov 1978 - 
TL;DR: In this article, the null hypothesis of no misspecification was used to show that an asymptotically efficient estimator must have zero covariance with its difference from a consistent but asymptonically inefficient estimator, and specification tests for a number of model specifications in econometrics.
Journal ArticleDOI

Random-effects models for longitudinal data

Nan M. Laird, +1 more
- 01 Dec 1982 - 
TL;DR: In this article, a unified approach to fitting two-stage random-effects models, based on a combination of empirical Bayes and maximum likelihood estimation of model parameters and using the EM algorithm, is discussed.