Migration Selection, Protection, and Acculturation in Health: A Binational Perspective on Older Adults

In this article, we test for four potential explanations of the Hispanic Health Paradox (HHP): the “salmon bias,” emigration selection, and sociocultural protection originating in either destination or sending country. To reduce biases related to attrition by return migration typical of most U.S.-based surveys, we combine data from the Mexican Health and Aging Study in Mexico and the U.S. National Health Interview Survey to compare self-reported diabetes, hypertension, current smoking, obesity, and self-rated health among Mexican-born men ages 50 and older according to their previous U.S. migration experience, and U.S.-born Mexican Americans and non-Hispanic whites. We also use height, a measure of health during childhood, to bolster some of our tests. We find an immigrant advantage relative to non-Hispanic whites in hypertension and, to a lesser extent, obesity. We find evidence consistent with emigration selection and the salmon bias in height, hypertension, and self-rated health among immigrants with less than 15 years of experience in the United States; we do not find conclusive evidence consistent with sociocultural protection mechanisms. Finally, we illustrate that although ignoring return migrants when testing for the HHP and its mechanisms, as well as for the association between U.S. experience and health, exaggerates these associations, they are not fully driven by return migration-related attrition.     

The Effect of a Multicomponent Dual-Modality Exercise Program Targeting Osteoporosis on Bone Health Status and Physical Function Capacity of Postmenopausal Women

Purpose: Exercise is important for the prevention of osteoporosis and the reduction of fracture risk because it improves muscle mass and strength, besides improving balance. We evaluated the effect of a specific exercise program on bone mass and quality and physical function capacity in postmenopausal women with low bone mineral density. Methods: Participants (N = 125) underwent a bone mass (Dual X-ray Absorptiometry), bone quality (osteosonography), and physical functional capacity assessment. Fifty-eight of them took part in an 11-month exercise program (E), that included a multicomponent (strength, aerobic capacity, balance, joint mobility) dual-modality (on ground and in the water; alternating group and home-based exercise periods) exercise regimen. The others represented a control group (C) that did not exercise. After the exercise program all participants were reevaluated. Results: After the training program: femoral neck T-score significantly improved in E; C significantly decreased all bone quality (osteosonography) parameters, whereas E showed no differences; E significantly improved all the physical function capacity parameters, while most of them decreased or did not change in C. Conclusions: A specific exercise program targeting osteoporosis improves physical function capacity, reduces physiological bone loss, and maintains bone quality in low bone mineral density postmenopausal women.     

Exploiting the balanced scorecard in the Operations Department: the Ducati Motor Holding case

The literature has widely discussed how to measure manufacturing performance. However, even though several indicators have been proposed, manufacturing reporting systems still suffer from a number of problems, which according to recent contributions, can be solved through the adoption of integrated performance measurement systems (PMSs). This article aims at understanding whether such integrated PMSs–namely the balanced scorecard–can actually solve the problems, which usually affect the reporting system of the Operations Department. The article presents a case-study developed in Ducati Motor Holding and then outlines the main conclusions and managerial implications. The empirical analysis demonstrates that the key benefits brought about by the balanced scorecard concern a higher responsiveness of the decision-making process and more intense cooperation among all units related to operations management (namely, manufacturing, logistics, quality management, procurement, maintenance).     

DO WOMEN PAY MORE FOR CREDIT? EVIDENCE FROM ITALY

By using a unique and large data set on loan contracts between banks and microfirms, we find robust evidence that women in Italy pay more for credit than men, although we do not find any evidence that women borrowers are riskier than men. The male/female differential remains even after controlling for a large number of characteristics of the type of business, the borrower, and the structure of the credit market. The result is not driven by lack of credit history, nor by women using a different type of bank than men, since the same bank charges different rates to male and female borrowers.     

On the Failure of the Bootstrap for Matching Estimators

Matching estimators are widely used in empirical economics for the evaluation of programs or treatments. Researchers using matching methods often apply the bootstrap to calculate the standard errors. However, no formal justification has been provided for the use of the bootstrap in this setting. In this article, we show that the standard bootstrap is, in general, not valid for matching estimators, even in the simple case with a single continuous covariate where the estimator is root‐N consistent and asymptotically normally distributed with zero asymptotic bias. Valid inferential methods in this setting are the analytic asymptotic variance estimator of Abadie and Imbens (2006a) as well as certain modifications of the standard bootstrap, like the subsampling methods in Politis and Romano (1994).