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| Registros recuperados: 50 | |
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| Kaditi, Eleni A.; Nitsi, Elisavet I.. |
| This paper examines the effects of farm characteristics and government policies in enhancing productivity growth for a sample of Greek farms, using a two-stage procedure. In the 1st-stage, non-parametric estimates of Malmquist index and its decompositions are computed, while a bootstrapping procedure is applied to provide their statistical precision. In the 2nd-stage, the productivity growth estimates are regressed on various covariates using a bootstrapped quantile regression approach. The effect that the covariates exert on productivity growth of the average producer is analyzed, as well as the marginal effect of a given covariate for individuals at different points in the conditional productivity distribution. The results indicate that there exists... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Malmquist productivity index; Quantile regression; Bootstrap; Research Methods/ Statistical Methods; C14; C21; D24. |
| Ano: 2009 |
URL: http://purl.umn.edu/52845 |
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| Hahn, Jinyong; Hirano, Keisuke; Karlan, Dean S.. |
| Many social experiments are run in multiple waves, or are replications of earlier social experiments. In principle, the sampling design can be modified in later stages or replications to allow for more efficient estimation of causal effects. We consider the design of a two-stage experiment for estimating an average treatment effect, when covariate information is available for experimental subjects. We use data from the first stage to choose a conditional treatment assignment rule for units in the second stage of the experiment. This amounts to choosing the propensity score, the conditional probability of treatment given covariates. We propose to select the propensity score to minimize the asymptotic variance bound for estimating the average treatment... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Experimental design; Propensity score; Efficiency bound; Research Methods/ Statistical Methods; C1; C14; C9; C93; C13. |
| Ano: 2009 |
URL: http://purl.umn.edu/47107 |
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| Fousekis, Panos. |
| Panel data from 14 EU member states and non parametric techniques are used in this paper to investigate the relationship between food prices and real per capita incomes. The empirical results suggest that the Penn Effect largely holds for Total Food prices but not for the prices of certain among the seven disaggregate food commodities considered. In particular, for Cereals, for Fats and Oils, and for Other food products poorer countries are likely to face prices no lower than those prevailing in richer ones |
| Tipo: Journal Article |
Palavras-chave: Food Prices; Living Standards; EU; Agricultural and Food Policy; Q11; C14. |
| Ano: 2009 |
URL: http://purl.umn.edu/58057 |
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| Nguyen, Khac Minh; Giang, Thanh Long. |
| This paper uses both parametric and non-parametric approaches to estimate technical, allocative, and economic efficiencies for the agriculture production in sixty provinces of Vietnam in the period 1990-2005. Under different technology specifications, both approaches show that the average technical, allocative, and economic efficiency estimates were not high, and there would be a large room for the studied provinces to improve their agricultural production efficiency. To examine consistency of the estimates from two approaches under different specifications of returns to scale, we use Spearman rank test, and the results indicate that parametric and non-parametric approaches provide different estimates. |
| Tipo: Journal Article |
Palavras-chave: Data envelopment analysis (DEA); Stochastic frontier production function (SFPF); Spearman rank; Production Economics; C14; N5. |
| Ano: 2009 |
URL: http://purl.umn.edu/58060 |
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| Monchuk, Daniel C.; Zhuo, Chen. |
| In this paper we examine more closely the factors associated with production inefficiency in China’s agriculture. The approach we take involves a two-stage process where output efficiency scores are first estimated using data envelope analysis (DEA), and then in the second stage, variation in the resulting efficiency scores are explained using a truncated regression model with inference based on a semi-parametric bootstrap routine. Among the results we find a heavy industrial presence is associated with reduced agricultural production efficiency and may be an indication that externalities from the industrial process, like air and ground water pollution, affect agricultural production. We also find evidence that counties with a large percentage of the rural... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: China's agriculture; DEA; Bootstrapping; Technical efficiency; Production Economics; C14; Q1; R5. |
| Ano: 2008 |
URL: http://purl.umn.edu/6456 |
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| Registros recuperados: 50 | |
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