Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 7
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
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
Imagem não selecionada

Imprime registro no formato completo
Forecasting China's Carbon Dioxide Emissions: A Provincial Approach AgEcon
Auffhammer, Maximilian; Carson, Richard T.; Garin-Munoz, Teresa.
Forecasts of Chinese carbon dioxide (CO2) emissions are critical to any global agreement on mitigating possible global climate change. We provide such forecasts through 2050 using a reduced form model selected using a general to simple search strategy. These estimates are the first based upon provincial-level data (1985-2000). The model chosen by the information criterion is one that melds the standard approach taken in the science and engineering literature with the environmental Kuznets curve approach popular in the economics literature whereby per capita emissions can first rise and then fall with increases in income. Other aspects of the model allow for the possibility that the rate of technological change varies across provinces and the possibility of...
Tipo: Working or Discussion Paper Palavras-chave: Environmental Economics and Policy.
Ano: 2004 URL: http://purl.umn.edu/25109
Imagem não selecionada

Imprime registro no formato completo
Forecasting the Path of China's CO2 Emissions: Offsetting Kyoto - and Then Some AgEcon
Auffhammer, Maximilian; Carson, Richard T..
Our results suggest that the anticipated path of China's Carbon Dioxide (CO2) emissions has dramatically increased over the last five years. The magnitude of the projected increase in Chinese emissions out to 2015 is several times larger than reductions embodied in the Kyoto Protocol. Our estimates are based on a unique provincial level panel data set from the Chinese Environmental Protection Agency. This dataset contains considerably more information relevant to the path of likely Chinese greenhouse gas emissions than national level time series models currently in use. Model selection criteria clearly reject the popular static environmental Kuznets curve specification in favor of a class of dynamic models with spatial dependence.
Tipo: Working or Discussion Paper Palavras-chave: Forecasting; Climate Change; China; Model Selection; Environmental Economics and Policy; Q43; C53.
Ano: 2006 URL: http://purl.umn.edu/7197
Imagem não selecionada

Imprime registro no formato completo
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
Imagem não selecionada

Imprime registro no formato completo
Measuring the Effects of Environmental Regulations: The Critical Importance of a Spatially Disaggregated Analysis AgEcon
Auffhammer, Maximilian; Bento, Antonio M.; Lowe, Scott E..
We examine the effects of the 1990 Clean Air Act Amendments (CAAA) on ambient concentrations of PM10 in the United States between 1990 and 2005. Consistent with prior literature, we find that non-attainment designation has no effect on the average monitor in non-attainment counties, after controlling for weather, socioeconomic characteristics at the county level and lagged concentrations. In sharp contrast, if we allow for heterogeneous treatment by type of monitor and county, we do find that the 1990 CAAA produced substantial effects. Our estimation results suggest that non-attainment counties with single monitors experienced a drop in concentrations of 10.5% relative to attainment counties. In non-attainment counties with multiple monitors, the overall...
Tipo: Working or Discussion Paper Palavras-chave: Air Pollution; Clean Air Act; Spatial Modeling; Environmental Economics and Policy; Research Methods/ Statistical Methods; Q53; Q58.
Ano: 2007 URL: http://purl.umn.edu/6088
Imagem não selecionada

Imprime registro no formato completo
The Future Trajectory of US CO2 Emissions: The Role of State vs. Aggregate Information AgEcon
Auffhammer, Maximilian; Steinhauser, Ralf.
This paper provides comparisons of a a variety of time series methods for short run forecasts of the main greenhouse gas, carbon dioxide, for the United States, using a recently released state level data set from 1960-2001. We test the out-of-sample performance of univariate and multivariate forecasting models by aggregating state level forecasts versus forecasting the aggregate directly. We find evidence that forecasting the disaggregate series and accounting for spatial effects drastically improves forecasting performance under Root Mean Squared Forecast Error Loss. Based on the in-sample observations we attempt to explain the emergence of voluntary efforts by states to reduce greenhouse gas emissions. We find evidence that states with decreasing per...
Tipo: Working or Discussion Paper Palavras-chave: Environmental Economics and Policy.
Ano: 2006 URL: http://purl.umn.edu/7157
Imagem não selecionada

Imprime registro no formato completo
The Rationality of EIA Forecasts under Symmetric and Asymmetric Loss AgEcon
Auffhammer, Maximilian.
The United States Energy Information Administration publishes annual forecasts of nationally aggregated energy consumption, production, prices, intensity and GDP. These government issued forecasts often serve as reference cases in the calibration of simulation and econometric models, which climate and energy policy are based on. This study tests for rationality of published EIA forecasts under symmetric and asymmetric loss. We find strong empirical evidence of asymmetric loss for oil, coal and gas prices as well as natural gas consumption, GDP and energy intensity.
Tipo: Working or Discussion Paper Palavras-chave: Forecasting; Asymmetric loss; Energy intensity; Energy Information Administration; Resource /Energy Economics and Policy; Q43; C53.
Ano: 2005 URL: http://purl.umn.edu/25017
Registros recuperados: 7
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional