Background: Heavy episodic ("binge") drinking of alcohol has serious public health implications, especially for youth and young adults. Previous summaries and surveys have failed to address in a comprehensive manner the effects of alcohol prices on binge drinking by gender or age group. Methods:...

Background: This paper contributes to the evidence-base on prices and alcohol use by presenting meta-analytic summaries of price and income elasticities for alcohol beverages. The analysis improves on previous meta-analyses by correcting for outliers and publication bias. Methods: Adjusting for...

Background: This paper contributes to the evidence-base on prices and alcohol use by presenting meta-analytic summaries of price and income elasticities for alcohol beverages. The analysis improves on previous meta-analyses by correcting for outliers and publication bias. Methods: Adjusting for...

Background: Heavy episodic ("binge") drinking of alcohol has serious public health implications, especially for youth and young adults. Previous summaries and surveys have failed to address in a comprehensive manner the effects of alcohol prices on binge drinking by gender or age group. Methods:...

Precise estimates of price elasticities are important for alcohol tax policy. Using meta-analysis, this paper corrects average beer elasticities for heterogeneity, dependence, and publication selection bias. A sample of 191 estimates is obtained from 114 primary studies. Simple and weighted...

Abstract. Numerous economic studies examine effects of alcohol price and tax changes on drinking, drinking patterns and alcohol-related harms. The consensus view is that prices are an effective instrument for addressing issues of heavy drinking, binge drinking, and adverse outcomes associated...

This paper estimates hedonic price models for a sample of 610 vacation rental houses located in the vicinity of a lake and four-season ski-golf resort. Hedonic semilogarithmic regression models are estimated for peak summer and peak winter rentals for 2008. The regression estimates for weekly...