A sturdy values analysis of motor vehicle fatalities

Richard Fowles, Peter D. Loeb

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Understanding the major determinants of crash fatalities continues to be an important topic of investigation for safety researchers. Regression models using a vast number of explanatory variables are often used which result in a huge array of specifications. Results often vary among studies based on size of estimated coefficients and significance levels. To address this, we explore both significance and model sturdiness in regression models using Leamer’s s-values. This Bayesian technique allows us to address estimation uncertainty and model ambiguity over all possible subset regressions so as to evaluate the effect of key variables which we focus on as contributors to crash fatalities. These include cell phone use, fleet modernization, suicidal behavior, alcohol use, and speed limits.

Original languageEnglish (US)
Pages (from-to)2063-2081
Number of pages19
JournalEmpirical Economics
Issue number4
StatePublished - Apr 2021

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Mathematics (miscellaneous)
  • Social Sciences (miscellaneous)
  • Economics and Econometrics


  • Bayesian econometrics
  • Cell phones, vehicle safety
  • Motor vehicle fatalities, motor vehicle crashes, sturdy inference
  • S-values
  • Suicide, median car age, speed, alcohol


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