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Source: Review of Agricultural Economics
Resulting in 2 citations.
1. Heckman, James J.
Masterov, Dimitriy V.
The Productivity Argument for Investing in Young Children
Review of Agricultural Economics 29,3 (Fall 2007): 446-493.
Also: http://www.jstor.org/stable/4624854
Cohort(s): Children of the NLSY79, NLSY79
Publisher: Blackwell Publishing, Inc. => Wiley Online
Keyword(s): Childbearing; Children, Academic Development; Children, Behavioral Development; Children, Home Environment; Crime; Family Structure; International Adult Literacy Survey (IALS); Skill Formation

This lecture was given as the T.W. Schultz Award Lecture at the Allied Social Sciences Association annual meeting, Chicago, January 5–7, 2007. This article was not subject to the journal's standard refereeing process. Copyright 2007 American Agricultural Economics Association.

[From pdf at: http://jenni.uchicago.edu/Invest/FILES/dugger_2004-12-02_dvm.pdf.] This paper presents a productivity argument for investing in disadvantaged young children. For such investment, there is no equity-efficiency tradeoff. The web appendix for this paper can be downloaded from http://jenni.uchicago.edu/Invest/.

Bibliography Citation
Heckman, James J. and Dimitriy V. Masterov. "The Productivity Argument for Investing in Young Children." Review of Agricultural Economics 29,3 (Fall 2007): 446-493.
2. Plantinga, Andrew J.
Bernell, Stephanie
Can Urban Planning Reduce Obesity? The Role of Self-Selection in Explaining the Link between Weight and Urban Sprawl
Review of Agricultural Economics 29,3 (Fall 2007): 557-563.
Also: http://www.jstor.org/stable/4624865
Cohort(s): NLSY79
Publisher: Blackwell Publishing, Inc. => Wiley Online
Keyword(s): Body Mass Index (BMI); Data Linkage (also see Record Linkage); Geocoded Data; Geographical Variation; Obesity; Residence; Rural/Urban Differences; Weight

Research by Plantinga and Bernell suggests that an individual's body weight is a factor determining the desirability of a residential location. They found the relationship between obesity and urban sprawl can be explained by the way people sort themselves by personal preference. < p/> In a follow-up study, Plantinga and Bernell used a national data set to test whether body mass index influences the decisions of adults to locate in counties with a high or low degree of sprawl. To measure body weight, the researchers used data from the U.S. Department of Labor's National Longitudinal Survey of Youth, which has tracked statistics on thousands of individuals since their youth in 1979. The researchers examined many factors, among them ethnicity, gender, age, income, education, marital status and body weight.
Bibliography Citation
Plantinga, Andrew J. and Stephanie Bernell. "Can Urban Planning Reduce Obesity? The Role of Self-Selection in Explaining the Link between Weight and Urban Sprawl." Review of Agricultural Economics 29,3 (Fall 2007): 557-563.