Abstract
Using data from a cross-section of countries, we find to varying degrees of significance that the probability governments adopt smoking bans and youth access restrictions depends upon per capita income, per capita cigarette consumption, life expectancy, government health care expenditures, economic freedom and population density. Because some results differ from studies of US anti-smoking policy, this highlights a limitation of using US results to draw inferences about other countries.