There exists significant hype regarding how much machine learning and incorporating social media data can improve forecast accuracy in commercial applications. To assess if the hype is warranted, we use data from the film industry in simulation experiments that contrast econometric approaches...

Social media data presents challenges for forecasters since one must convert text into data and deal with issues related to these measures being collected at different frequencies and volumes than traditional financial data. In this paper, we use a deep learning algorithm to measure sentiment...

Substantial excitement currently exists in industry regarding the potential of using analytic tools to measure sentiment in social media messages to help predict individual reactions to a new product, including movies. However, the majority of models subsequently used for forecasting exercises...

This paper introduces an empirical strategy to estimate dynamic treatment effects in randomized trials that provide treatment in multiple stages and in which various noncompliance problems arise such as attrition and selective transitions between treatment and control groups. Our approach is...

While there is a well-established, large positive correlation between mental and physical health and education outcomes, establishing a causal link remains a substantial challenge. Building on findings from the biomedical literature, we exploit specific differences in the genetic code between...

In Canada, advocates of universal child care often point to policies implemented in Quebec as providing a model for early education and care policies in other provinces. While these policies have proven to be incredibly popular among citizens, initial evaluations of access to these programs...

Debates centered on the role of social networks as a determinant of labour market outcomes have a long history in economics and sociology; however, determining causality remains a challenge. In this study we use information on random assignment to a unique intervention to identify the impact of...

Using data from the New York City Police Department's Stop-and-Frisk program, we evaluate the impact of a specific terrorist attack threat from Al Qaeda on policing behavior in New York City. We find that after the Department of Homeland Security raised the alert level in response to this...

We extend earlier research evaluating the Quebec Family Policy by providing the first evidence on the distributional effects of universal child care on two specific developmental outcomes. Our analysis uncovers substantial policy relevant heterogeneity in the estimated effect of access to...

Unobserved ability heterogeneity has long been postulated to play a key role in human capital development. Traditional strategies to estimate education production functions do not allow for varying role or development of unobserved ability as a child ages. Such restrictions are highly...