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	Provedor de dados AgEcon (2) Autor Bruno, Giovanni S. F. (1) Olayele, Bankole Fred (1) Palavra-chave Unbalanced panels (2) Bias approximation (1) Bootstrap variance–covariance (1) Dynamic panel data (1) GMM estimation (1) LSDV estimator (1) Monte Carlo experiment (1) Natural resource curse (1) O12 (1) O43 (1) O47 (1) Petroleum resources (1) Q32 (1) Q34 (1) Research Methods/ Statistical Methods (1) Resource /Energy Economics and Policy (1) Xtlsdvc (1) Mais... Tipo do documento Journal Article (1) Working or Discussion Paper (1) Ano 2010 (1) 2005 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals AgEcon Bruno, Giovanni S. F.. This article describes a new Stata routine, xtlsdvc, that computes bias-corrected least-squares dummy variable (LSDV) estimators and their bootstrap variance–covariance matrix for dynamic (possibly) unbalanced panel-data models with strictly exogenous regressors. A Monte Carlo analysis is carried out to evaluate the finite-sample performance of the bias-corrected LSDV estimators in comparison to the original LSDV estimator and three popular N-consistent estimators: Arellano–Bond, Anderson–Hsiao and Blundell–Bond. Results strongly support the bias-corrected LSDV estimators according to bias and root mean squared error criteria when the number of individuals is small. Tipo: Journal Article Palavras-chave: Xtlsdvc; Bias approximation; Unbalanced panels; Dynamic panel data; LSDV estimator; Monte Carlo experiment; Bootstrap variance–covariance; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117540 The Resource Curse: A State and Provincial Analysis AgEcon Olayele, Bankole Fred. A puzzling piece of empirical evidence suggests that countries rich in natural resources tend to have dismal economic performance. This paradigm has come to be known as the “resource curse”. This paper deals with the role of institutional quality in explaining the transmission mechanism of the resource curse. I attempt to explain this phenomenon by using the index of economic freedom developed by the Fraser Institute as a proxy for the quality of institutions. The outcomes of the linear and non-linear interactions between resource abundance and institutional quality turn out to be the key elements that determine the intensity, if existent, or otherwise of the resource curse. Rather than look at cross country data like many others, I focus on the 10... Tipo: Working or Discussion Paper Palavras-chave: Natural resource curse; Petroleum resources; Unbalanced panels; GMM estimation; Resource /Energy Economics and Policy; O12; Q32; Q34; O43; O47. Ano: 2010 URL: http://purl.umn.edu/57805 Registros recuperados: 2 Primeira ... 1 ... Última

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