Habit Formation and Demand for Sugar‐Sweetened Beverages
In: American Journal of Agricultural Economics, Band 93, Heft 1, S. 175-193
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In: American Journal of Agricultural Economics, Band 93, Heft 1, S. 175-193
SSRN
In: Review of agricultural economics: RAE, Band 29, Heft 3, S. 596-611
ISSN: 1467-9353
Using Scanner Data for Food Policy Research is a practitioners' guide to using and interpreting scanner data obtained from stores and households in policy research. It provides practical advice for using the data and interpreting their results. It helps the reader address key methodological issues such as aggregation, constructing price indices, and matching the data to nutrient values. It demonstrates some of the key econometric and statistical applications of the data, including estimating demand systems for policy simulation, analyzing effects of food access on food choices, and conducting cost-benefit analysis of food policies. This guide is intended for early-career researchers, particularly those working with scanner data in agricultural and food economics, nutrition, and public health contexts. --
In: American Journal of Agricultural Economics, Band 101, Heft 1, S. 311-329
SSRN
In: American Journal of Agricultural Economics, Band 96, Heft 1, S. 1-25
SSRN
In: Journal of benefit-cost analysis: JBCA, Band 13, Heft 1, S. 34-56
ISSN: 2152-2812
AbstractPartial equilibrium models have been used extensively by policy makers to prospectively determine the consequences of government programs that affect consumer incomes or the prices consumers pay. However, these models have not previously been used to analyze government programs that inform consumers. In this paper, we develop a model that policy makers can use to quantitatively predict how consumers will respond to risk communications that contain new health information. The model combines Bayesian learning with the utility-maximization of consumer choice. We discuss how this model can be used to evaluate information policies; we then test the model by simulating the impacts of the North Dakota Folic Acid Educational Campaign as a validation exercise.