Monetary policy decisions tend to be based on systematic analysis of alternative policy choices and their associated macroeconomic impacts: this is science. Fiscal policy choices, in contrast, spring from unsystematic speculation, grounded more in politics than economics: this is alchemy. In...

Bayesian prior predictive analysis of five nested DSGE models suggests that model specifications and prior distributions tightly circumscribe the range of possible government spending multipliers. Multipliers are decomposed into wealth and substitution effects, yielding uniform comparisons...

We use Bayesian prior and posterior analysis of a monetary DSGE model, extended to include fiscal details and two distinct monetary-fiscal policy regimes, to quantify government spending multipliers in U.S. data. The combination of model specification, observable data, and relatively diffuse...

This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

This paper evaluates the UK New Deal for Lone Parents (NDLP) program, which aims to return lone parents to work. Using rich administrative data on benefit receipt histories and a "selection on observed variables" identification strategy, we find that the program modestly reduces benefit receipt...

We study the job training provided under the US Workforce Investment Act (WIA) to adults and dislocated workers in two states. Our substantive contributions center on impacts estimated non-experimentally using administrative data. These impacts compare WIA participants who do and do not receive...

This chapter considers means-tested employment and training programs in the United States. We focus in particular on large, means-tested federal programs, including the Job Training Partnership Act (JTPA), its successor the Workforce Investment Act (WIA), that program's recent replacement, the...