Effectiveness of UI Noncompliance Detection

Abstract

This article reports on the different methods of investigation employed to detect noncompliance with UI regulations, and their relative effectiveness. It considers a previous evaluation of the Unemployment Insurance program for which a national random sample of UI claimants was selected from the active claimload and referred to Investigation and Control Officers for in-depth enhanced investigations. Results of these investigations, along with details of the specific control and investigation activities, were reported for analysis. A variety of investigation methods were generally combined, which meant that these were intercorrelated, making it difficult to apply standard regression analysis. Instead, principal components method is used for grouping of variables, and these are then entered into a logit regression model.