Pseudolikelihood ratio test with biased observations

This paper explores testing procedures with response-related incomplete data, with particular attention centered to pseudolikelihood ratio tests. We construct pseudolikelihood functions with the biased observations supplemented by auxiliary information, without specifying the association between the primary variables and the auxiliary variables. The asymptotic distributions of the test statistics under the null hypothesis are derived and finite-sample properties of the testing procedures are examined via simulation. The methodology is illustrated with an example involving evaluation of kindergarten readiness skills in children with sickle cell disease.     

A MODEL OF ETHNIC CONFLICT

We present a model of conflict in which discriminatory government policy or social intolerance is responsive to various forms of ethnic activism, including violence. It is this perceived responsiveness—captured by the probability that the government gives in and accepts a proposed change in ethnic policy—that induces individuals to mobilize, often violently, to support their cause. Yet, mobilization is costly and militants have to be compensated accordingly. The model allows for both financial and human contributions to conflict and allows for a variety of individual attitudes (“radicalism”) towards the cause. The main results concern the effects of within‐group heterogeneity in radicalism and income, as well as the correlation between radicalism and income, in precipitating conflict.     

Sidak-type simultaneous confidence intervals for the risk measures rsmr,based on proportional mortality measures in epidemiologic 1 studies involving several competing risks of death

In the present paper, simultaneous confidence interval estimates are constructed for the mortality measures RSMR. based on propor¬tional mortality measures SPMR. in epidemiologic studies for several competing risks of death to which the individuals in the study are exposed. It is demonstrated that, under a reasonable assumption, the joint sampling distribution of the statistics X. = RSMR./SPMR. for M competing risks9 may be approximated by means of a multi-variafe normal distribution, Sidak's (1967, 1968) mulfivariate normal probability inequalities are applied to construct the simultaneous confidence intervals for the measures RSMR., i=l3 2, ..., M. These are valid regardless of the covariance structure among the risks, As a particular case if the risks may be assumed as independent, our confidence intervals reduce to those for a single measure RSMR., which are narrower than those of Kupper et al., (1978), In this sense, our paper generalizes the results presently available in the literature in two directions; first, to obtain narrower confidence limits, and second3 to discuss the case of competing risks of death irrespective of their covariance structure.     

From blind spots to hotspots: How knowledge services clusters develop and attract foreign investment

This paper explores local and global dynamics underlying the development of knowledge services clusters, which we define as new geographic concentrations of technical talent and service providers offering upstream technical and knowledge-intensive business services to regional and global clients. Taking a co-evolutionary perspective on the development of knowledge services clusters in Latin America, based on data from the Offshoring Research Network (ORN), we find that cluster growth results from intersecting trajectories: the emergence of local talent pools and capabilities initially serving local and regional demand; broadening global search for talent and expertise by multinational corporations; and internationalization strategies of service providers competing to serve global clients. Findings suggest that increasing commoditization of knowledge services opens up windows of opportunity for new clusters, but also involves challenges for sustainable growth. Results may stimulate future research on global sourcing and cluster development.     

Ethical frameworks of “Tomorrow’s Business Leaders”

This research explores the influence of five ethical frameworks on business students’ decision regarding the resolution of an ethical dilemma in a simulation. The frameworks of ethical tests are: Utilitarianism (the greatest good for the greatest number); Self-interest (maximizing the benefits to the individual); Categorical Imperative (universal principles of morality); Legality (rules, laws, etc.); and Light of Day (possibility of one’s actions being discovered). Results showed that the strongest influences were the Categorical Imperative, Self-Interest, and Legality. Among demographic variables, only age was related to the students’ decision or the ethical tests.     

Embourgeoisement among Blue-collar Workers?*

This paper examines the notion that blue-collar workers have been converting from working-class to middle-class orientations as a consequence of gains in income and education over the past few decades. Cross-sectional analysis of survey data for white workers and spouses reveals that a considerable manual-nonmanual subjective class schism persists when remaining differences in income and education are taken into account. The gap is maintained both by an adherence to working-class identification among blue-collar workers at all socioeconomic levels and by a weaker tendency for these workers, compared with white-collar workers, to use income and educational status as criteria for self-placement in the class system. Longitudinal analysis further indicates that embourgeoisement among blue-collar workers has been slight and suggests that the manual-nonmanual gap in class orientations is widening.     

Medcamp's Effect on Junior High School Students' Medical Career Self-Efficacy

Medcamp, a 3-day problem-based career intervention for students entering the 9th grade, implemented each of the 4 antecedents for self-efficacy. Ten boys and 35 girls participated in Medcamp; of these, 35 completed and returned the Medical Career Self-Efficacy Scales (developed by the authors for their study) both at the beginning and at the end of the program. Three scales measured specific self-efficacy (tasks students had performed during Medcamp), related self-efficacy (other tasks students would complete by the second year of medical school), and general self-efficacy (included lifestyle variables and study habits). Results demonstrated significant increases in self-efficacy on all 3 scales.     

Predictors of contraceptive use by adolescent mothers

This study examines the differences between adolescents who do versus those who do not use contraceptives after the birth of their first child. The sample consists of 89 low-income mothers in the state of Indiana. A discriminant function analysis is used to determine if the adolescents' home environment, financial resources, self-esteem, or future orientation discriminates between contracepting and noncontracepting adolescents. If the adolescent is not receiving financial support from a romantic partner, intends to have another child within the next year, and expects to be a single parent in one year, she is less likely to be using contraceptives.     

Poverty and choice of marital status: A self-selection model

Over the last few decades in the United States, the poverty rate for female-headed families has been about five times the poverty rate for other family types. This paper addresses the question of why, in general, female-headed families are so much poorer than other families. Recognizing that individuals choose their own marital status, a self-selection model is used to identify the factors which determine the poverty rates for married-couple families, families headed by females with no husband present, and families headed by males with no wife present. The following control variables are found to be important determinants of poverty for all three family types: education of family members; age, race, disability, and unemployment of the family head; geographical location, size and composition of the family. Both married-couple families and male-headed families are found to be less poor than female-headed families mainly because the marginal effects of the control variables, and to a lesser extent the mean levels of the control variables, favor the former two types of families over female-headed families.