The Interactive Effect of Alcohol and Altitude on Traffic Fatalities, 1992
IBES Research Methodology
The interactive effect of alcohol and altitude on traffic fatalities, 1992
Instructor : Date : Team member :
Summary
Presentation
of the article Article overview Research question Main hypothesis Methodology Data Interpretation of the results Conclusion
Presentation
Title:
« The interactive effect of alcohol and altitudes on traffic fatalities ». (1992, Southern Economic Journal)
Authors:
Richard Fowles: Professor at University of Utah, Salt Lake City (Utah) Peter D. Loeb: Professor at Rutgers University, Newark (New Jersey)
Article overview
I) II)
-
Introduction Data and Model
OLS Results for the Fatality Model (Linear) - OLS Results (Logarithmic Form) - Bayesian Posterior Bounds for the Linear Fatality Model The Bayersian Results further demonstrate the robustness of the results
III)
Conclusions
References
Quick overview
Models
tested with the Linear form & with the logarithmic form Posterior Bounds applied to linear Fatality Model => analyse possible problems in the linear table of results
Bayesian
Positive interaction between Alcohol and Altitude
Research question
Does
the interaction between altitude and alcohol consumption have a pronounced effect on traffic fatalities?
Speed Alcohol
Fatality Rate
Altitude
Relevance of the question
To
explain the disproportionate fatality rate in the western regions of the US (Specifically the Rocky mountains)
Social/Political/Economic etc… consequences
Would a special alcohol law enforcement program, comparatively to the Non-Western states, be more efficient? (political) Considering implementation of special programs to rise the awareness about alcohol in regions in altitude. Making alcohol harder or more expensive to get.
Literature Review
Lave (1985, 1989) showed that speed and its variance are relevant determinants for highway deaths Loeb (1985, 1987,
The interactive effect of alcohol and altitude on traffic fatalities, 1992
Instructor : Date : Team member :
Summary
Presentation
of the article Article overview Research question Main hypothesis Methodology Data Interpretation of the results Conclusion
Presentation
Title:
« The interactive effect of alcohol and altitudes on traffic fatalities ». (1992, Southern Economic Journal)
Authors:
Richard Fowles: Professor at University of Utah, Salt Lake City (Utah) Peter D. Loeb: Professor at Rutgers University, Newark (New Jersey)
Article overview
I) II)
-
Introduction Data and Model
OLS Results for the Fatality Model (Linear) - OLS Results (Logarithmic Form) - Bayesian Posterior Bounds for the Linear Fatality Model The Bayersian Results further demonstrate the robustness of the results
III)
Conclusions
References
Quick overview
Models
tested with the Linear form & with the logarithmic form Posterior Bounds applied to linear Fatality Model => analyse possible problems in the linear table of results
Bayesian
Positive interaction between Alcohol and Altitude
Research question
Does
the interaction between altitude and alcohol consumption have a pronounced effect on traffic fatalities?
Speed Alcohol
Fatality Rate
Altitude
Relevance of the question
To
explain the disproportionate fatality rate in the western regions of the US (Specifically the Rocky mountains)
Social/Political/Economic etc… consequences
Would a special alcohol law enforcement program, comparatively to the Non-Western states, be more efficient? (political) Considering implementation of special programs to rise the awareness about alcohol in regions in altitude. Making alcohol harder or more expensive to get.
Literature Review
Lave (1985, 1989) showed that speed and its variance are relevant determinants for highway deaths Loeb (1985, 1987,
References: Study Design: Elementary Cross Sectional State Data Cross Sectional Data: widely dispersed data (traffic fatalities) relating to one period (1979)