Robust Logistic and Probit Methods for Binary and Multinomial Regression

Socio-Economic Status and Bullying Victimization in India: A Study About Social Misfit and Minority Perception

The Social Misfit Theory, which states that some individuals deviate from what is normative in a community and may therefore be more likely to be victimized, has mostly been studied in Western countries. The current study addresses in a longitudinal sample whether socio-economic minorities (SES) in the classroom (a contextual SES minority) are more likely to become victims of bullying in India, and whether the relation between minority status and victimization is mediated by perception of oneself as a minority. The current study used three waves separated by three month intervals. A sample of youth from Indore India (grades 7 to 9; N = 1238; M-ageT1 = 13.15, SD = 1.16, 24 percent girls) was used. It was found that being a contextual SES minority was related to more victimization, but only when the contextual status was corroborated by the perceived minority status. However, over time, being part of a contextual minority predicted decreased victimization, possibly pointing to normative beliefs and values in the Indian context. The results of this study are in contrast to the Social Misfit Theory, but do support self-perception as a mediator.

Does Internet Use Impact the Health Status of Middle-Aged and Older Populations? Evidence from China Health and Retirement Longitudinal Study (CHARLS)

In the context of both rapid technological development and increasing aging, the relationship between technological development and the health of the middle-aged and older population is gradually receiving academic attention. This study empirically examined the health consequences of the Internet for the middle-aged and older population in China using data from the 2018 China Health and Retirement Longitudinal Study. The results indicated that Internet use was effective in improving the self-assessed health and chronic disease status of the middle-aged and older population. However, the effect of Internet use on the improvement of chronic disease conditions in this population was more pronounced than self-assessed health. In the heterogeneity analysis, the effect of Internet use on the health of female and middle-aged adults was more significant than that of male and older adults aged >60 years. This paper also used a propensity score matching model to eliminate the endogeneity problem caused by sample selectivity bias. The results revealed that the propensity score matching model analysis was more robust. Moreover, if sample selectivity bias was not eliminated, the effect of Internet use on the improvement of self-assessed health in the middle-aged and older population would be underestimated, whereas the effect of Internet use on the chronic disease status of the middle-aged and older adults would be overestimated.