This paper studies the long-run economic impact of dismissing city councils infiltrated by organized crime. Applying a matched difference-in-differences design to the universe of Italian social security records, we find that city council dismissals (CCDs) increase employment, the number of firms, and industrial real estate prices. The effects are concentrated in Mafia-dominated sectors and in municipalities where fewer incumbents are reelected. The dismissals generate large economic returns by weakening the Mafia and fostering trust in local institutions. The analysis suggests that CCDs represent an effective intervention for establishing legitimacy and spurring economic activity in areas dominated by organized crime. (JEL D73, H77, K42, R11, R23)

We propose leave‐out estimators of quadratic forms designed for the study of linear models with unrestricted heteroscedasticity. Applications include analysis of variance and tests of linear restrictions in models with many regressors. An approximation algorithm is provided that enables accurate computation of the estimator in very large data sets. We study the large sample properties of our estimator allowing the number of regressors to grow in proportion to the number of observations. Consistency is established in a variety of settings where plug‐in methods and estimators predicated on homoscedasticity exhibit first‐order biases. For quadratic forms of increasing rank, the limiting distribution can be represented by a linear combination of normal and non‐central χ 2 random variables, with normality ensuing under strong identification. Standard error estimators are proposed that enable tests of linear restrictions and the construction of uniformly valid confidence intervals for quadratic forms of interest. We find in Italian social security records that leave‐out estimates of a variance decomposition in a two‐way fixed effects model of wage determination yield substantially different conclusions regarding the relative contribution of workers, firms, and worker‐firm sorting to wage inequality than conventional methods. Monte Carlo exercises corroborate the accuracy of our asymptotic approximations, with clear evidence of non‐normality emerging when worker mobility between blocks of firms is limited.

Abstract We combine matched employer–employee data with firms’ financial records to study a 2001 Italian reform that lifted constraints on the employment of temporary contract workers while maintaining rigid employment protection regulations for employees hired under permanent contracts. Exploiting the staggered implementation of the reform across different collective bargaining agreements, we find that this policy change led to an increase in the share of temporary contracts but failed to raise employment. The reform had both winners and losers. Firms are the main winners as the reform was successful in decreasing labor costs, leading to higher profits. By contrast, young workers are the main losers since their earnings were substantially depressed following the policy change. Rent-sharing estimates show that temporary workers receive only two-thirds of the rents shared by firms with permanent workers, helping explain most of the labor costs and earnings reductions caused by the reform.

We employ a revealed preference test to distinguish between wage posting and wage bargaining. Using a sample of dual jobholders in Washington State, we estimate the sensitivity of wages and separation rates to wage shocks in a secondary job. In lower parts of the wage distribution, improvements in the outside option lead to higher separations rates but not to higher wages, consistent with wage posting. In the highest wage quartile, improved outside options translate to higher wages but not higher separation rates, consistent with bargaining. In the aggregate, bargaining appears to be a limited determinant of wage setting.