Agricultural Economics & Economics

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Situated jointly within MSU's College of Agriculture and College of Letters and Sciences, our department offers a unique opportunity for students with diverse interests to learn skills in critical analysis, logical problem solving, data and policy analysis, written and oral communication, business management. We train individuals who will make a big difference in the world by applying solid critical thinking skills. Our award-winning faculty has expertise in a wide variety of fields. We conduct cutting-edge research and teach a myriad of courses.

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Author: search.filters.author.Lyford, C. P.Subject: search.filters.subject.Economics

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    Using Quantile Regression to Measure the Differential Impact of Economic and Demographic Variables on Obesity
    (2012-09) Belasco, Eric J.; Chidmi, B.; Lyford, C. P.; Funtanilla, M.
    The fight against obesity in the U.S. has become a pressing priority for policy makers due to many undesirable outcomes including escalating health care costs, reduced quality of life and increased mortality. This analysis uses data from the 2007 Behavioral Risk Factor Surveillance System (BRFSS) to evaluate the relationship between behavioral, economic, and demographic factors with BMI while explicitly accounting for systematic heterogeneity using a quantile regression. Results suggest that the effect of exercise, smoking, occupation, and race vary by sizeable amounts from high to low BMI-quantiles. This strongly indicates that future research efforts and policy responses to obesity need to account for these differences in order to develop more effective policies.
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    Determinants of delayed detection of cancers in Texas Counties in the United States of America
    (2012-05) Gong, Gordon; Belasco, Eric J.; Hargrave, K. A.; Lyford, C. P.; Phillips, B. U. Jr.
    Introduction: Previous studies have shown that delayed detection of several cancers is related to socioeconomic deprivation as measured by the Wellbeing Index (WI) in Texas, the United States of America (USA). The current study investigates whether delayed cancer detection is related to lack of health insurance, physician shortage and higher percentages of Hispanics rather than WI per se since these factors are directly related to delayed cancer detection and may confound WI. Methods: Cancer data and potential determinants of delayed cancer detection are derived from Texas Cancer Registry, Texas State Data Center, and Texas Department of State Health Services and U.S. Census Bureau. Texas cancer data from 1997 to 2003 are aggregated to calculate age-adjusted late- and early-stage cancer detection rates. The WI for each county is computed using data from the USA Census 2000. A weighted Tobit regression model is used to account for population size and censoring. The percentage of late-stage cancer cases is the dependent variable while independent variables include WI and the aforementioned potential confounders. Results: Delayed detection of breast, lung, colorectal and female genital cancers is associated with higher percentage of uninsured residents (p < 0.05). Delayed detection is also associated with physician shortage and lower percentages of Hispanics for certain cancers ceteris paribus ( p < 0.05). The percentage of late-stage cases is positively correlated with WI for lung, and prostate cancers after adjusting for confounders ( p < 0.05). Conclusions: The percentages of uninsured and Hispanic residents as well as physician supply are determinants of delayed detection for several cancers independently of WI, and vice versa. Identification of these determinants provides the evidence-base critical for decision makers to address specific issues for promoting early detection in effective cancer control.
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