topic Re: value of statistical life in Statistical Procedures

value of statistical life

graingerad12 — Sat, 23 Apr 2016 23:06:59 GMT

Does anyone know how to calculate the Value of Statistical life in SAS?

the variables in the data set im working with are defined as:

wage = worker's hourly wage rate

male = 1 if worker is male and =0 otherwise

white = 1 if worker's race is white = 0 otherwise

age = workers age in years

fatrate = worker's risk of fatality measured in terms of deaths per 100,000 workers.

the code I have so far (to estimate a linear hedonic wage equation for wages and log wages) is:

data final;
set 'final';
lwage= log(wage);
age2 = age*age;

run;
proc means data=final;
run;

proc reg data=final outest=est tableout;
model wage = male white age age2 fatrate;
model lwage= male white age age2 fatrate;
run;
proc print data=est;
title 'OUTEST data from PROC REG';
run;

Re: value of statistical life

Reeza — Sun, 24 Apr 2016 17:13:40 GMT

Can you translate that to a programming problem? I'm not sure I understand the question, even having worked as an actuary 😉

If your previous question is answered, please mark it as solved.

Re: value of statistical life

Reeza — Sun, 24 Apr 2016 17:13:41 GMT

Can you translate that to a programming problem? I'm not sure I understand the question, even having worked as an actuary 😉

If your previous question is answered, please mark it as solved.

Re: value of statistical life

PGStats — Sun, 24 Apr 2016 19:37:22 GMT

Naming variables in a MODEL statement is not enough to specify the model. You must also specify which interactions are possible. For example, your model assumes that the effect of being white is the same for males and females (no male and white interaction) on paid wage.

There is also cause to worry about the definition of variable fatrate. Does it reflect objective fatality rate or the rate perceived by the worker?