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Pinning Down The Value Of Statistical Life, Thomas J. Kniesner, W. Kip Viscusi, Christopher Woock, James P. Ziliak
Pinning Down The Value Of Statistical Life, Thomas J. Kniesner, W. Kip Viscusi, Christopher Woock, James P. Ziliak
Center for Policy Research
Our research addresses fundamental long-standing concerns in the compensating wage differentials literature and its public policy implications: the econometric properties of estimates of the value of statistical life (VSL) and the wide range of such estimates from about $0.5 million to about $21 million. We address most of the prominent econometric issues by applying panel data, a new and more accurate fatality risk measure, and systematic selection of panel estimator in our research. Controlling for measurement error, endogeneity, individual heterogeneity, and state dependence yields both a reasonable average level and narrow range for the estimated value of a statistical life …
Rational Alcohol Addiction: Evidence From The Russian Longitudinal Monitoring Survey, Badi H. Baltagi, Ingo Geishecker
Rational Alcohol Addiction: Evidence From The Russian Longitudinal Monitoring Survey, Badi H. Baltagi, Ingo Geishecker
Center for Policy Research
Alcohol consumption in Russia is legendary and has been reported to be the third leading cause of death in the former Soviet Union after heart disease and cancer. Are Russian alcohol consumers rational addicts? This paper uses eight rounds of a nationally representative Russian survey spanning the period 1994-2003 to estimate a rational addiction (RA) model for alcohol consumption. This is done in a panel data setting as well as on a wave by wave basis. The profile of the Russian drinker finds a huge difference between males and females and the model is estimated by gender. We do not …
Panel Unit Root Tests And Spatial Dependence, Badi H. Baltagi, Georges Bresson, Alain Pirotte
Panel Unit Root Tests And Spatial Dependence, Badi H. Baltagi, Georges Bresson, Alain Pirotte
Center for Policy Research
This paper studies the performance of panel unit root tests when spatial effects are present that account for cross-section correlation. Monte Carlo simulations show that there can be considerable size distortions in panel unit root tests when the true specification exhibits spatial error correlation. These tests are applied to a panel data set on net real income from the 1000 largest French communes observed over the period 1985-1998.