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	Provedor de dados AgEcon (4) Autor Wolff, Hendrik (4) Auffhammer, Maximilian (2) Chong, Howard (2) Heckelei, Thomas (2) Mittelhammer, Ronald C. (1) Palavra-chave Research Methods/ Statistical Methods (3) C82 (2) International Comparative Statistics (2) Measurement Error (2) O10 (2) Agricultural Supply Analysis (1) International Development (1) Maximum Entropy Estimation (1) Prior Information (1) Programming Models (1) Mais... Tipo do documento Conference Paper or Presentation (2) Working or Discussion Paper (2) Ano 2009 (1) 2008 (1) 2004 (1) 2002 (1) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Consequences of Data Error in Aggregate Indicators: Evidence from the Human Development Index AgEcon Wolff, Hendrik; Chong, Howard; Auffhammer, Maximilian. This paper examines the consequences of data error in data series used to construct aggregate indicators. Using the most popular indicator of country level economic development, the Human Development Index (HDI), we identify three separate sources of data error. We propose a simple statistical framework to investigate how data error may bias rank assignments and identify two striking consequences for the HDI. First, using the cutoff values used by the United Nations to assign a country as 'low', 'medium', or 'high' developed, we find that currently up to 45% of developing countries are misclassified. Moreover, by replicating prior development/macroeconomic studies, we find that key estimated parameters such as Gini coefficients and speed of convergence... Tipo: Working or Discussion Paper Palavras-chave: Measurement Error; International Comparative Statistics; Research Methods/ Statistical Methods; O10; C82. Ano: 2008 URL: http://purl.umn.edu/6502 A Methodological Note on the Estimation of Programming Models AgEcon Heckelei, Thomas; Wolff, Hendrik. The paper introduces a general methodological approach for the estimation of constrained optimisation models in agricultural supply analysis. It is based on optimality conditions of the desired programming model and shows a conceptual advantage compared to Positive Mathematical Programming in the context of well posed estimation problems. Moreover, it closes the empirical and methodological gap between programming models and duality based functional models with explicit allocation of fixed factors. Monte Carlo simulations are performed with a maximum entropy estimator to evaluate the functionality of the approach as well as the impact of empirically relevant prior information in small sample situations. Tipo: Conference Paper or Presentation Palavras-chave: Agricultural Supply Analysis; Programming Models; Maximum Entropy Estimation; Prior Information; Research Methods/ Statistical Methods. Ano: 2002 URL: http://purl.umn.edu/24896 IMPOSING MONOTONICITY AND CURVATURE ON FLEXIBLE FUNCTIONAL FORMS AgEcon Wolff, Hendrik; Heckelei, Thomas; Mittelhammer, Ronald C.. Replaced with revised version of paper 05/29/04. Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/20256 Human Development Index: Are Developing Countries Misclassified? (former title: "Consequences of Data Error in Aggregate Indicators: Evidence from the Human Development Index) AgEcon Wolff, Hendrik; Chong, Howard; Auffhammer, Maximilian. This paper examines the consequences of data error in data series used to construct aggregate indicators. Using the most popular indicator of country level economic development, the Human Development Index (HDI), we identify three separate sources of data error. We propose a simple statistical framework to investigate how data error may bias rank assignments and identify two striking consequences for the HDI. First, using the cutoff values used by the United Nations to assign a country as ‘low’, ‘medium’, or ‘high’ developed, we find that currently up to 45% of developing countries are misclassified. Moreover, by replicating prior development/macroeconomic studies, we find that key estimated parameters such as Gini coefficients and speed of convergence... Tipo: Working or Discussion Paper Palavras-chave: Measurement Error; International Comparative Statistics; International Development; O10; C82. Ano: 2009 URL: http://purl.umn.edu/49763 Registros recuperados: 4 Primeira ... 1 ... Última

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