We show that under arguably plausible assumptions regarding the DNA exoneration process, in expectation, the ratio of DNA exoneration rates across races among defendants convicted for the same crime in the same state provides an upper bound on the ratio of wrongful conviction rates across races...

This article provides empirical researchers with an introduction and guide to research designs based on variation in judge and examiner tendencies to administer treatments or other interventions. We review the basic theory behind the research design, outline the assumptions under which the...

In this paper we revisit the methodological aspects of the issue of spurious cycles: using the well-established clinometric data, we apply an empirical strategy to identify spurious periodicities and cross-validate the results. The analysis of cyclical fluctuations involves numerous challenges,...

Der Aufsatz untersucht einige populäre Methoden zur Messung des Output Gaps auf der Basis von aggregierten Daten für die Euro-Zone. Obwohl die Methoden einige wichtige gemeinsame Eigenschaften aufweisen, zeigen sie auch erhebliche Unterschiede; insbesondere ist die Korrelation zwischen...

DSGE models are typically estimated using Bayesian methods, but a researcher may want to estimate a DSGE model with full information maximum likelihood (FIML) so as to avoid the use of prior distributions. A very robust algorithm is needed to find the global maximum within the relevant parameter...

Filters constructed on the basis of standard local polynomial regression (LPR) methods have been used in the literature to estimate the business cycle. We provide a frequency domain interpretation of the contrast filter obtained by the difference of a series and its long-run LPR component and...

The authors use first differenced logged quarterly series for the GDP of 29 countries and the euro area to assess the need to use nonlinear models to describe business cycle dynamic behaviour. Their approach is model (estimation)-free, based on testing only. The authors aim to maximize power to...