We develop the case of two-stage least squares estimation (2SLS) in the general framework of Athey et al. (Generalized Random Forests, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method to revisit the classic application of instrumental...

In most countries, the unemployed are entitled to unemployment benefits only if they have previously worked a minimum period of time. This institutional feature creates a sharp change at eligibility in the disutility from unemployment and may distort the duration of jobs. In this paper, we...

A substantial and rapidly growing literature has developed around estimating earnings gains from two-year college degrees using administrative data. These papers almost universally employ a person-level fixed effects strategy to estimate earnings premia net of fixed attributes. We note that the...

This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS. The methods are suitable for the high-dimensional setting where the number of...

We present a sharp test for the efficiency of job separations. First, we document a dramatic increase in the separation rate - 11.2ppt (28%) over five years - in response to a quasi-experimental extension of UI benefit duration for older workers. Second, after the abolition of the policy, the...

We take a fresh look at firms' innovation-productivity linkages, using novel data capturing new aspects of innovative activity. We combine UK administrative microdata, media and website content to develop experimental metrics – new product/service launches – for a large panel of SMEs....

Texas is the only state that does not mandate that employers carry workers' compensation insurance (WC) coverage. We employ a quasi-experimental design paired with a novel machine learning approach to examine the effects of switching from traditional workers' compensation to a so-called...

In most research on Life Satisfaction (LS), it is assumed that the covariates of high and low LS are the same for everyone, or at least everyone in the West. In this paper, analysing data from the German Socio-Economic Panel, with a limited replication based on Australian panel data, we estimate...

Environmental research related to military activities and warfare is sparse and fragmented by discipline. Although achieving military objectives will likely continue to trump any concerns related to the environment during active conflict, military training during peacetime has environmental...

In a randomized control trial, the precision of an average treatment effect estimator can be improved either by collecting data on additional individuals, or by collecting additional covariates that predict the outcome variable. We propose the use of pre-experimental data such as a census, or a...