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Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Year: 2019 Publisher: National Bureau of Economic Research
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Year: 2016 Publisher: National Bureau of Economic Research
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Year: 2016 Publisher: National Bureau of Economic Research
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Year: 2021 Publisher: National Bureau of Economic Research
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Year: 2024 Publisher: National Bureau of Economic Research
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Year: 2013 Publisher: Cambridge, Mass. National Bureau of Economic Research
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This article examines the long term physical and mental health effects of internal migration focusing on a relatively unique migration experience from Southern and Northeastern regions of Italy to Northwestern regions and to the region around Rome concentrated over a relatively short period from 1950-1970. OLS regression estimates show significant evidence of a migration effect among early-cohort females on physical health. We find no evidence of migration-health effects for the later cohort, nor for males in the early cohort. We use finite mixture models to further explore the possibility of heterogeneous effects and find that there is a significant and substantial improvement in physical and mental health for a fraction of migrant females in the early cohort but not for others. Analysis of the group for which effects are significant suggest that health effects are concentrated among rural females in the early cohort.
Digital
Year: 2016 Publisher: Cambridge, Mass. National Bureau of Economic Research
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This study uses county-level variation in implementation of calorie labeling laws in the US to identify the effects of such laws on body mass. Using the 2003 to 2012 waves of the Behavioral Risk Factor Surveillance System, we find a statistically insignificant average treatment effect for women and a small, statistically significant and negative average treatment effect for men, indicating a decrease in BMI after implementation of calorie-labeling laws. We estimate finite mixture models and discover that the average treatment effects mask substantial heterogeneity in the effects across three classes of women and men. For both women and men, the three classes, determined within the model, can be described as a subpopulation with normal weight, a second one that is overweight on average and a third one that is obese on average. Estimates from finite mixture models show that the effect is largely concentrated among a class of women with BMI distributions centered on overweight. The effects for men are statistically significant for each of the three classes and large for men in the overweight and obese classes. These results suggest that overweight and obese individuals are especially sensitive to relevant information.
Digital
Year: 2016 Publisher: Cambridge, Mass. National Bureau of Economic Research
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We study the effects of SNAP participation on food insecurity and food spending using finite mixture models that allow for a priori unspecified heterogeneous effects. We identify a low food security subgroup comprising a third of the population for whom SNAP participation increases the probability of high food security by 20-30 percentage points. There is no affect of SNAP on the remaining two-thirds of the population. SNAP increases food spending in the previous week by $50-$65 for a low modal spending subgroup comprising two-thirds of the population, with no effect for the remaining third of the population.
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