Search results

To review and address current approaches and limitations to modeling change over time in social entrepreneurship research.

The article provides a narrative review of different practices used to assess change over time. It also shows how different research questions require different methodologies for assessing changes over time. Finally, it presents worked examples for modeling these changes.

Our review suggests that there is a lack of research in social entrepreneurship that takes into account the many different considerations for addressing how time influences outcomes.

This chapter introduces an analytic technique to social entrepreneurship that effectively models changes in predictors and outcomes even when data are non-normal or nested across time or levels of analysis.

The authors propose a framework to estimate the probability of being poor in a dynamic setting based on a large information set that includes individual characteristics and macro-economic variables. The joint inclusion of personal characteristics along with contextual factors allows separation of idiosyncratic shocks from aggregate shocks affecting poverty. The authors combine data from different cross-sectional surveys and fit a dynamic logistic hierarchical model within a Bayesian framework using standard Markov chain Monte Carlo techniques. The authors’ approach is exemplified by estimating household poverty status in Kyrgyz Republic as a function of time, regions, country, regional level variables and household level socio-demographic characteristics.

Physical victimization at school is little studied in impoverished developing country contexts. Moreover, the role of school and classroom contexts as risk factors remains poorly understood.

The aim of the study is to investigate the prevalence of physical victimization in rural Chinese middle schools as well as the individual, teacher/classroom, and school-level risk factors associated with experiencing physical victimization.

We use two waves of longitudinal, representative survey data to perform a multilevel logistic regression analysis (MLRA) of physical victimization among middle school students from 100 villages in one of China’s poorest provinces. We focus on a subset of questionnaire items that were gathered from students when the sampled children were 13–16 years old. We also utilize student data from the first wave of the survey to control for prior internalizing problems and academic achievement. Finally, we link matched data collected from principal and teacher questionnaires to examine the risk factors for physical victimization associated with students’ microclimates and the wider school environment.

A substantial proportion of middle school students (40%) reported having been beaten by classmates. Elevated risk was found among males; students with prior poor performance in language; students with past internalizing problems; students of female teachers and teachers evaluated as low performing; students in disruptive classrooms; and students in classrooms undergoing mandated reforms.

These findings suggest that efforts to reduce school violence should not only focus on the deficits of individual students, but rather should target practices to alter the within school risk factors associated with microclimates.

This chapter investigates the effects of the corporate sector on the effectiveness of selected tax compliance instruments in the context of large corporate taxpayers belonging to the finance, manufacturing, and service sectors. Applying multilevel logit models based on real tax office and survey data from Bangladesh, it is found that the filing compliance of large corporate taxpayers is influenced by penalty, tax audit, and taxpayer services, while reporting compliance is influenced by tax audit, criminal prosecution, and tax simplification. In the case of payment compliance, two coercive instruments – penalty and tax audit – have been found to be statistically significant. However, when sector characteristics are considered, the extent of the influence of these instruments, and, in some cases, their statistical significance changes. This suggests that the effectiveness of tax compliance instruments, among other things, largely depends on the sector affiliation of corporate taxpayers. Overall, this study establishes that corporate sector plays an important role in the effectiveness of tax compliance instruments, with the caveat that findings might be different if working definitions of the study variables were measured differently.

Purpose – This study analyzed individual factors of race and dual eligibility on emergency room (ER) utilization of older adult Medicare patients treated by RHCs in CMS Region 4.

Methodology/approach – A prospective, longitudinal design was employed to analyze health disparities that potentially exist among RHC Medicare beneficiary patients (+65) in terms of ER use. The years of investigation were 2010 through 2012, using mixed multilevel, binary logistic regression.

Findings – This study found that dual eligible RHC patients utilized ER services at higher rates than nondual eligible, Medicare only RHC patients at: 77%, 80%, and 66%, in 2010, 2011, and 2012, respectively; and above the White reference group, Black RHC Medicare patients utilized ER services at higher rates of: 18%, 20%, and 34%, in 2010, 2011, and 2012, respectively.

Research limitations/implications – Regarding limitations, cohort data observations within the window of 3 years were only analyzed; regarding generalizability, in different CMS regions, results will likely vary; and linking other variables together in the study was limited by the accessible data. Future research should consider these limitations, and attempt to refine. The findings support that dual Medicare and Medicaid eligibility, as a proxy measure of socioeconomic status, and race continue to influence higher rates of ER utilization in CMS Region 4.

Originality/value – In terms of ER utilization disparities, persistently, as recent as 2012, Black, dual eligible RHC Medicare beneficiary patients age 65 years and over may be twice as likely to utilize ER services for care than their counterparts in the Southeastern United States.

Exploration of District Level Household Survey 4 data show that among the selected states, Karnataka, West Bengal, Meghalaya, Tripura, Telengana, Arunachal Pradesh and Andhra Pradesh show higher rates of school dropout of girls compared to the all India level. Using multilevel probit technique, the study shows that the incidence of school dropout of girls decreases if the first born of the parents is male and mother is more educated than father while it increases with lower asset endowment, land-holding and high spousal age-gap between parents. Further it is high among the Muslim religion and schedule caste category.

Purpose – This chapter analyzes stratification in embeddedness in religious congregations, as well as the civic and political implications of this stratification in congregational embeddedness.

Methodology – With data from more than 70,000 attendees of 385 congregations, I examine how race, education, and income affect the prevalence of friendships in religious congregations, and how these friendships affect civic and political activity.

Findings – Analyses of friendships show that white and lower-class Americans are particularly likely to have close friends in their congregations, and attendees are disproportionately likely to have close friends in their congregations when other attendees are of the same race and level of education. Analyses of civic and political participation show that congregational friendships are strongly associated with civic and political participation, though the positive effects of congregational friendships on civic and political participation are moderately reduced for African-Americans and lower-class attendees.

Research Implications – The findings are relevant to future research on congregational stability, stratification in access to social resources, and U.S. civil society.

Originality/Value – This research shows that the resources that accompany congregational embeddedness, like many other resources, are stratified by race, education, and income.

Most research on worker participation treats it as an establishment-level phenomenon even though it is seldom used on an establishment-wide basis. This paper, however, examines how three forms of incentive compensation are used at the job level, and it assesses the potential ramifications for inequality. I find that the use of incentive compensation reflects the gender composition, unionization, and functional role of jobs. Jobs with many full-time women, for instance, are less likely to use group incentives and profit sharing because they are less likely to play central or managerial roles in establishments. This suggests that incentive compensation may increase inequality.