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Test of Convergence in Agricultural Factor Productivity: A Semiparametric Approach AgEcon
Paudel, Krishna P.; Pandit, Mahesh; Poudel, Biswo N..
We tested for club convergence in U.S. agricultural total factory productivity using a sigma convergence test. We used the same club of states as used by McCunn and Huffman as well as different states within 10 clubs identified by the cluster analysis. Results showed convergence was evident only in a few club groups. Clusters group identified using a statistical method identified only converging clubs. Variables affecting total factor productivity among states were identified using parametric, semiparametric and nonparametric methods. Semiparametric and nonparametric methods gave a better fit than a parametric method as indicated by the specification test. Our results indicated that health care expenditure, public research and extension investment, and...
Tipo: Conference Paper or Presentation Palavras-chave: Clubs; Sigma convergence; Cluster analysis; Semiparametric and nonparametric methods; Productivity Analysis; Research Methods/ Statistical Methods.
Ano: 2011 URL: http://purl.umn.edu/104025
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An Analysis of Rank Ordered Data AgEcon
Paudel, Krishna P.; Poudel, Biswo N.; Dunn, Michael A.; Pandit, Mahesh.
Many methods are available to analyze rank ordered data. We used a spectral density method to analyze Formosan subterranean termite control options ranked by Louisiana homeowners. Respondents are asked to rank termite control options from the most preferred to the least preferred option. Spectral analysis results indicated that the most preferred termite control choice is a relatively cheap ($0.13 per square foot) option of liquid treatment.
Tipo: Conference Paper or Presentation Palavras-chave: FST; Rank ordered data; Spectral analysis; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/49518
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Searching for an Environmental Kuznets Curve in Carbon Dioxide Pollutant in Latin American Countries AgEcon
Poudel, Biswo N.; Paudel, Krishna P.; Bhattarai, Keshav.
This study utilized a semiparametric panel model to estimate environmental Kuznets curves (EKC) for carbon dioxide (CO2) in 15 Latin American countries, using hitherto unused data on forestry acreage in each country. Results showed an N-shaped curve for the region; however, the shape of the curve is sensitive to the removal of some groups of countries. Specification tests support a semiparametric panel model over a parametric quadratic specification.
Tipo: Journal Article Palavras-chave: CO2; Forest acreage; Environmental Kuznets curve; Latin American countries; Semiparametric regression model; Agribusiness; Environmental Economics and Policy; Research and Development/Tech Change/Emerging Technologies; C14; C33; Q23; Q53.
Ano: 2009 URL: http://purl.umn.edu/48759
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Agricultural Productivity Convergence: Myth or Reality? AgEcon
Poudel, Biswo N.; Paudel, Krishna P.; Zilberman, David.
We tested agricultural productivity convergence in the United States using the state level total factor productivity data and utilizing new estimation and cluster identification methods to identify convergence in the data. The empirical investigation did not indicate any evidence of agricultural total factor productivity (TFP) convergence at the state level. However, we found the evidence of TFP convergence at the regional level for some regions/clusters.
Tipo: Journal Article Palavras-chave: Agricultural total factor productivity; Convergence; Human capital; U.S. states; Production Economics; Productivity Analysis; Q10; O47.
Ano: 2011 URL: http://purl.umn.edu/100654
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