FAST FOOD PRICES AND ADULT BODY WEIGHT OUTCOMES: EVIDENCE BASED ON LONGITUDINAL QUANTILE REGRESSION MODELS

With a parallel increase in the consumption of food away from home, particularly fast food, and the obesity prevalence in the United States, evidence on the potential effectiveness of fiscal pricing policies to curb obesity is needed. We estimate changes in the dispersion of the entire conditional distribution of body mass index (BMI) associated with changes in fast food prices for adults using the National Longitudinal Survey of Youth 1979 in cross‐sectional and longitudinal quantile regression models. We find that the ordinary least squares estimate for men underestimates the negative relationship of fast food prices with BMI at the 50th and upper quantiles in cross‐sectional models although the statistical significance disappears in the longitudinal individual fixed effects quantile regression. Among subpopulations, we find that a 10% increase in the price of fast food is associated with 0.9% and 0.7% lower BMI for low‐income women and women with any children, respectively, at the 90th quantile in a longitudinal individual fixed effects model. Our results imply that fiscal pricing policies such as fast food taxes might have a greater impact on the weight outcomes of low‐income women or women with children in the upper tail of the conditional BMI distribution (JEL I00, I19).     

Infinitesimal Firms and Increasing Cost Industries

This article presents a rigorous version of the basic model of an increasing-cost competitive industry found in many textbooks. In the model, firms are infinitesimal, which justifies price-taking behavior and a continuous industry supply curve. The industry supply curve slopes upward because of dispersion in the efficiency of firms. In this framework, the authors emphasize the role of the marginal firm. This role is not clearly emphasized in many textbook presentations of the increasing cost industry.     

A Framework for Reconsidering the Lake Wobegon Effect

The Lake Wobegon Effect (LWE) describes the potential measurement-error bias introduced into survey-based analyses of education issues. Although this effect potentially applies to any student-report variable, the systematic overreporting of academic achievements such as grade point average is often of preeminent concern. This concern can be easily circumvented if official records data are available; however, many researchers can only access student-reported data. In this article, the authors examine whether using student-survey data in place of official records data meaningfully biases regression estimates. They motivate their contribution by noting a useful statistical feature of overreporting on bounded variables such as grade point average. Specifically, the misreports will be negatively correlated with the true grade point average, yielding a form of nonclassical measurement error that actually counteracts the bias. The authors connect this observation to reliability ratios used in labor economics, which are simple ways to adjust for attenuation bias, when needed. In two applications, we find that it is unnecessary to correct for the LWE bias because it is so small.     

Dynamic almost ideal demand systems: an empirical analysis of alcohol expenditure in Ireland

This paper presents a dynamic form of the Almost Ideal Demand System (AIDS). Three versions of the static AIDS model are employed to determine the preferred long-run equilibrium model and represents the short-run dynamics by an error correction mechanism. This estimation procedure is then applied to alcohol expenditure in Ireland. The estimated point elasticities are consistent with previous studies and a priori expectations. Beer and spirits are found to be price inelastic in both the short and long run. While wine is price inelastic in the short run and price elastic in the long run.