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The Effect of Fast Food Restaurants on Obesity AgEcon
Currie, Janet; DellaVigna, Stefano; Moretti, Enrico; Pathania, Vikram.
We investigate the health consequences of changes in the supply of fast food using the exact geographical location of fast food restaurants. Specifically, we ask how the supply of fast food affects the obesity rates of 3 million school children and the weight gain of over 1 million pregnant women. We find that among 9th grade children, a fast food restaurant within a tenth of a mile of a school is associated with at least a 5.2 percent increase in obesity rates. There is no discernable effect at .25 miles and at .5 miles. Among pregnant women, models with mother fixed effects indicate that a fast food restaurant within a half mile of her residence results in a 2.5 percent increase in the probability of gaining over 20 kilos. The effect is larger, but...
Tipo: Working or Discussion Paper Palavras-chave: Food Consumption/Nutrition/Food Safety; Health Economics and Policy.
Ano: 2009 URL: http://purl.umn.edu/47830
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Use of public assistance and private aid by legal and unauthorized immigrants who work in agriculture AgEcon
Moretti, Enrico; Perloff, Jeffrey M..
Tipo: Working or Discussion Paper Palavras-chave: Agricultural labor; Government aid; Immigration; Insurance; Irca; Welfare economics; Labor and Human Capital.
Ano: 1996 URL: http://purl.umn.edu/47284
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A Small-Sample Estimator for the Sample-Selection Model AgEcon
Golan, Amos; Moretti, Enrico; Perloff, Jeffrey M..
A semiparametric estimator for evaluating the parameters of data generated under a sample selection process is developed. This estimator is based on the generalized maximum entropy estimator and performs well for small and ill-posed samples. Theoretical and sampling comparisons with parametric and semiparametric estimators are given. This method and standard ones are applied to three small-sample empirical applications of the wage-participation model for female teenage heads of households, immigrants, and Native Americans.
Tipo: Working or Discussion Paper Palavras-chave: Maximum entropy; Sample selection; Monte Carlo experiments; Labor and Human Capital; Research Methods/ Statistical Methods.
Ano: 2001 URL: http://purl.umn.edu/25047
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An information based sample-selection estimation model of agricultural workers' choice between piece-rate and hourly work AgEcon
Golan, Amos; Moretti, Enrico; Perloff, Jeffrey M..
This paper presents a new generalized maximum entropy (GME) approach to estimation of sample-selection models with small data sets, such as are found in many empirical agricultural economic analysis. For small samples, the GME approach produces more stable estimates and has smaller mean square error measures than other well-known estimators such as ordinary least squares, Heckman's two-step method, full-information maximum likelihood, and Ahn and Powell's method. The technique is used to analyze whether hired agricultural workers will work in piece-rate or time-rate jobs and to compare female-male wage differentials for both types of jobs.
Tipo: Working or Discussion Paper Palavras-chave: Agricultural labor; Agricultural wages; Data analysis; Entropy; Monte carlo analysis; Piece rates; Labor and Human Capital.
Ano: 1998 URL: http://purl.umn.edu/47285
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Minimum Wage Laws Lower Some Agricultural Wages AgEcon
Moretti, Enrico; Perloff, Jeffrey M..
Tipo: Working or Discussion Paper Palavras-chave: Labor and Human Capital.
Ano: 2000 URL: http://purl.umn.edu/25041
Registros recuperados: 5
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