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...

Estimating economic earnings mobility is imperative for understanding the degree to which low pay employment is a temporary or long-term position. The current literature estimates transition probabilities between low and higher pay. This study extends the focus to identify the underlying...

International large-scale assessments such as PISA are increasingly being used to benchmark the academic performance of young people across the world. Yet many of the technicalities underpinning these datasets are misunderstood by applied researchers, who sometimes fail to take their complex...

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...

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...

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 propose a reweighting-estimation-transformation (RWET) approach to estimate the impacts of COVID-19 on job postings in Australia. Contrary to the commonly used aggregation-based method on counting data, our approach can be used in a relatively 'thin' market, such as Australia. In a thin...

There is growing evidence that foreign-born workers are over represented in physically demanding and dangerous jobs with relatively higher injury hazard rates. Given this pattern, do increasing inflows of foreign-born workers alleviate native workers' exposure to injuries? This paper provides...

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...

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....