Testing for Asymmetric Information in Insurance Markets: A Multivariate Ordered Regression Approach

The positive correlation (PC) test is the standard procedure used in the empirical literature to detect the existence of asymmetric information in insurance markets. This article describes a new tool to implement an extension of the PC test based on a new family of regression models, the multivariate ordered logit, designed to study how the joint distribution of two or more ordered response variables depends on exogenous covariates. We present an application of our proposed extension of the PC test to the Medigap health insurance market in the United States. Results reveal that the risk–coverage association is not homogeneous across coverage and risk categories, and depends on individual socioeconomic and risk preference characteristics.     

Establishment modes and network relationships of foreign subsidiaries

This research examines the effects of the establishment mode of foreign subsidiaries (greenfield vs acquisition) on the type of network relationships (social vs business) they develop in local markets. The authors use the network approach to better understand the role played by local subsidiaries for the development of networks in multinational enterprises. The empirical study is based on a dataset covering 120 foreign-owned subsidiaries in Italy. The findings show that acquired subsidiaries are more directly involved in business relationships, whereas greenfield subsidiaries pay more attention to social relationships before building business networks. The establishment mode thus affects the type of network relationships developed by local subsidiaries, which can help them to overcome the liabilities of foreignness and outsidership.     

The Distributive and Labor Supply Impact of the Minimum Insertion Income: The Case of Italy

This paper analyzes the redistributive and labor supply effects of extending at national level the Minimum Insertion Income, introduced experimentally in 1999 in some Italian municipalities. We develop a behavioral microsimulation tax-benefit model that allows for simultaneous labor supply decisions by household members, endogenous choice between dependent employment and self-employment, complete representation of the current Italian tax-benefit system. The results show a positive impact on both inequality and poverty, while overall labor supply reduces. On average magnitude of labor supply disincentive is small for married individuals, relatively larger for single persons and, within this category, for women than men.     

The Simpson paradox of school grading in Italy

Data from the 2003 OECD-PISA Survey for Italy reveal a striking difference in the relationship between students’ competence (as measured by PISA score in Mathematics) and school grades across regions: a competence level granting bare sufficiency in the North yields excellence grades in the South. This has spurred a lively debate on education policy in the country, based on the inference drawn from this evidence that grading practices are excessively different in the two areas. We show in this note that this inference overlooks a Simpson paradox hidden in the data. After a more careful analysis, the above inference is seen to be wrong. The crucial omitted variable is the school-level average competence: schools with low-performing students, all over the country, inflate grades. Students in the South get higher grades simply because they are in weaker schools; grading policy is actually homogeneous across regions.