Most economists maintain that the labor market in the United States is 'tight' because unemployment rates are low. They infer from this that there is potential for wage-push inflation. However, real wages are falling rapidly at present and, prior to that, real wages had been stagnant for some...

Following Phillip's original work on the UK, applied research on unemployment and wages has been dominated by the analysis of highly aggregated time-series data sets. However, it has proved difficult with such methods to uncover statistically reliable models. This paper adopts a different...

The paper provides evidence for the existence of a negatively sloped locus linking the level of pay to the rate of regional (or industry) unemployment. This "wage curve" is estimated using microeconomic data for Britain, the US, Canada, Korea, Austria, Italy, Holland, Switzerland, Norway, and...

This paper, which follows in an LSE tradition begun by Phillips and Sargan, examines the role of unemployment in shaping pay. In contrast to most of the literature, it 1) uses microeconometric data on individuals and workplaces 2) examines a variety of data sets as a check on the robustness of...

Researchers using instrumental variables to investigate ordered treatments often recode treatment into an indicator for any exposure. We investigate this estimand under the assumption that the instruments shift compliers from no treatment to some but not from some treatment to more. We show that...

A longstanding and influential view in U.S. correctional policy is that "nothing works" when it comes to rehabilitating incarcerated individuals. We revisit this hypothesis by studying an innovative law-enforcement-led program launched in the county jail of Flint, Michigan: Inmate Growth...

We develop new quasi-experimental tools to understand algorithmic discrimination and build non-discriminatory algorithms when the outcome of interest is only selectively observed. These tools are applied in the context of pretrial bail decisions, where conventional algorithmic predictions are...

The effect of a treatment may depend on the intensity with which it is administered. We study identification of ordered treatment effects with a binary instrument, focusing on the effect of moving from the treatment's minimum to maximum intensity. With arbitrary heterogeneity across units,...

A growing number of central authorities use assignment mechanisms to allocate students to schools in a way that reflects student preferences and school priorities. However, most real-world mechanisms incentivize students to strategically misreport their preferences. In this paper, we provide an...

We propose a new specification test to assess the validity of the judge leniency design. We characterize a set of sharp testable implications, which exploit all the relevant information in the observed data distribution to detect violations of the judge leniency design assumptions. The proposed...