We provide evidence on the distributional effects of Quebec’s universal child care policy. Our analysis uncovers substantial policy relevant heterogeneity in the estimated effect of access to subsidized child care across two developmental score distributions for children from two-parent families. Whereas past research reported findings of negative effects on mothers and children from these families, igniting controversy, our estimates reveal a more nuanced image that formal child care can indeed boost developmental outcomes for children from some households: particularly disadvantaged single-parent households. We present suggestive evidence that the heterogeneity in policy effects is consistent with differences in home learning environments.

Business decision makers are increasingly using predictive social media analytic tools in forecasting exercises but ignoring potential model uncertainty. Using data on the universe of Twitter messages, we calculate the sentiment regarding each film to understand whether these opinions affect box office opening and DVD retail sales. Our results contrasting eleven different econometric strategies including penalization methods indicate that accounting for model uncertainty can lead to large gains in forecast accuracy. While penalization methods do not outperform model averaging on forecast accuracy, evidence indicates they perform equivalently at the variable selection stage. Finally, incorporating social media data greatly improves forecast accuracy.