Related Experiment Video
Updated: Feb 4, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Alcohol quantity and quality price elasticities: quantile regression estimates.
Robert Pryce1, Bruce Hollingsworth2, Ian Walker3
1School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK. r.e.pryce@sheffield.ac.uk.
Heavy alcohol drinkers are less responsive to price increases for quantity but may switch to cheaper options. Price policies may thus be ineffective for reducing consumption among heaviest drinkers.
Area of Science:
- Public Health
- Health Economics
- Substance Abuse Research
Background:
- Excessive alcohol consumption leads to significant health and social costs.
- Alcohol pricing strategies are frequently proposed to curb excessive drinking.
Purpose of the Study:
- To analyze how alcohol consumption responds to price changes across different drinking levels.
- To differentiate price elasticities for on-premise versus off-premise alcohol purchases.
- To investigate if drinkers alter alcohol quality in response to price fluctuations.
Main Methods:
- Utilized quantile regression to estimate price and income elasticities.
- Analyzed consumption data separately for on-premise and off-premise purchases.
- Examined the relationship between price changes and alcohol quality substitution.
Main Results:
- Heavy drinkers exhibit lower quantity responsiveness to price changes.
- Heavy drinkers are more prone to substituting to lower-quality alcohol when prices rise.
- Price elasticities vary significantly across the distribution of alcohol consumption.
Conclusions:
- Price-based alcohol control policies may have limited impact on the heaviest drinkers.
- The ability of heavy drinkers to switch to cheaper alternatives undermines quantity reduction goals.
- Understanding substitution effects is crucial for designing effective alcohol policy interventions.
Related Concept Videos
Estimation of the Physical Quantities
Regression Toward the Mean
Base Quantities and Derived Quantities
The International Organization for...
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Correlation and Regression
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:

