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ESTIMATING GENDER DIFFERENCES IN AGRICULTURAL PRODUCTIVITY: BIASES DUE TO OMISSION OF GENDER-INFLUENCED VARIABLES AND ENDOGENEITY OF REGRESSORS AgEcon
Lilja, Nina K.; Randolph, Thomas F.; Diallo, Abrahmane.
This study evaluates managerial differences between men and women and assesses the degree of bias introduced by omission of gender-influenced variables and ignoring the endogeneity of farmer characteristics and input levels. The results also give insight to improving research methods for isolating the gender impact on productivity.
Tipo: Conference Paper or Presentation Palavras-chave: Labor and Human Capital; Productivity Analysis.
Ano: 1998 URL: http://purl.umn.edu/20976
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TRANSPORTATION DEREGULATION AND INTERREGIONAL COMPETITION IN THE NORTHEASTERN FEED ECONOMY AgEcon
Randolph, Thomas F.; Lee, David R..
The effects of rail deregulation on feed transportation in the Northeast are examined through construction of a spatial equilibrium model of the Northeastern feed industry. Short-run and long-run effects of deregulation are analyzed through incorporation of rail rate structures for 1981 and 1984, respectively, into model simulations and comparison with pre-deregulation base year results (1980). The results show that the Northeast feed economy has generally benefited from rail deregulation which has led to lower transportation costs, lower feed costs and an enhanced competitive position relative to the Southeastern U.S.
Tipo: Journal Article Palavras-chave: Public Economics.
Ano: 1986 URL: http://purl.umn.edu/29051
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An impact evaluation of technology adoption by smallholders in Sichuan, China: the case of sweet potato-pig systems AgEcon
Lapar, Ma. Lucila A.; Ngoc Toan, Nguyen; Zou, Chengyi; Liu, Jinyuan; Li, Xianglin; Randolph, Thomas F..
We employ propensity score matching (PSM) framework to examine the impact of sweet potato-based feed technology adoption on household-based pig production in Sichuan, China. An ex post survey in six villages was conducted in 2009, of which five villages were in project intervention sites (exposed area) and one village in the same township but not exposed to project intervention (non-exposed area). We randomly selected 111 households in the exposed areas from the list of households previously interviewed in a baseline survey and 53 households from non-exposed area. Matching estimators such as nearest neighbor matching (NNM), radius matching (RM) and kernel matching (KM) were used to estimate average treatment effects. Results indicate positive net benefit...
Tipo: Conference Paper or Presentation Palavras-chave: Technology adoption; Impact assessment; Crop-livestock systems; Livestock Production/Industries; Production Economics; O22; O33; Q16.
Ano: 2011 URL: http://purl.umn.edu/100577
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