The Effects of Recent Welfare and Immigration Reforms on Immigrants' Access to Health Care1

This study investigates the impact of the Personal Responsibility and Work Opportunity Reconciliation Act and the Illegal Immigration Reform and Immigrant Responsibility Act, both passed in 1996, on the use of health‐care services in immigrant communities in five Texas counties. The study presents findings of interviews with public agency officials, directors of community‐based organizations, and members of 500 households during two research phases, 1997–1998 and 1998–1999. In the household sample, 20 percent of U.S. citizens and 30 percent of legal permanent residents who reported having received Medicaid during the five years before they were interviewed also reported losing the coverage during the past year. Some lost coverage because of welfare reform restrictions on noncitizen eligibility or because of changes in income or household size, but many eligible immigrants also withdrew from Medicaid “voluntarily.”     

Multivariate singular spectrum analysis for forecasting revisions to real-time data

Real-time data on national accounts statistics typically undergo an extensive revision process, leading to multiple vintages on the same generic variable. The time between the publication of the initial and final data is a lengthy one and raises the question of how to model and forecast the final vintage of data – an issue that dates from seminal articles by Mankiw et al. [51 Mankiw, N. G., Runkle, M. and Shapiro, M. D. 1984. Are preliminary announcements of the money stock rational forecasts?. J. Monetary Econ., 14: 15–27. [Crossref], [Web of Science ®] [Google Scholar]], Mankiw and Shapiro [52 Mankiw, N. G. and Shapiro, M. D. 1986. News or noise? An analysis of GNP revisions. Surv. Curr. Bus. May, : 20–25.  [Google Scholar]] and Nordhaus [57 Nordhaus, W. D. 1987. Forecasting efficiency: Concepts and applications. Rev. Econ. Stat., 4: 667–674.  [Google Scholar]]. To solve this problem, we develop the non-parametric method of multivariate singular spectrum analysis (MSSA) for multi-vintage data. MSSA is much more flexible than the standard methods of modelling that involve at least one of the restrictive assumptions of linearity, normality and stationarity. The benefits are illustrated with data on the UK index of industrial production: neither the preliminary vintages nor the competing models are as accurate as the forecasts using MSSA.     

Comparing the overlapping of two independent confidence intervals with a single confidence interval for two normal population parameters

Two overlapping confidence intervals have been used in the past to conduct statistical inferences about two population means and proportions. Several authors have examined the shortcomings of Overlap procedure and have determined that such a method distorts the significance level of testing the null hypothesis of two population means and reduces the statistical power of the test. Nearly all results for small samples in Overlap literature have been obtained either by simulation or by formulas that may need refinement for small sample sizes, but accurate large sample information exists. Nevertheless, there are aspects of Overlap that have not been presented and compared against the standard statistical procedure. This article will present exact formulas for the maximum % overlap of two independent confidence intervals below which the null hypothesis of equality of two normal population means or variances must still be rejected for any sample sizes. Further, the impact of Overlap on the power of testing the null hypothesis of equality of two normal variances will be assessed. Finally, the noncentral t-distribution is used to assess the Overlap impact on type II error probability when testing equality of means for sample sizes larger than 1.     

The role of apathy,personal insecurity,and socio-economic status in formation of risk-taking behavior among university students

The primary purpose of the current study was to explore the role of apathy and personal insecurity in risk-taking behavior among university students. Furthermore, it examined the influence of socio-economic factors (such as age, gender, and education) on risk-taking behavior. For this purpose, 882 university students elicited their responses through self-structured questionnaire. Factor analysis and reliability analysis were applied to test the reliability, validity, and robustness of scales. Bivariate analysis was used to test hypothesis, independent T-test was used to examine the differences in categories of risk-taking behavior, and multiple linear regression was used to scrutinize model fit. There was association between apathy, personal insecurity, socio-economic characteristics (such as gender, education, and father education) and risk-taking behavior of the university students. The current study would add to empirical foundation to build a theoretical framework of risk-taking behavior based on education, age, income, and residential background. This study contributes to the academic scholarship by explaining individual differences based on socio-economic status in prediction of risk-taking behavior. Furthermore, it provides a different theoretical insight and logical explanation of risk-taking propensity for constructs of apathy and personal insecurity. To the best knowledge of the researchers, it is first study to explain the association apathy, personal insecurity and risk-taking behavior through quantification of data among resourceful group of youth.     

Impact of the External Debt on Standard of Living: A Case of Asian Countries

Social Indicators Research - This study discusses the basic purpose of external debt: to finance poverty alleviation and bring progress in a country in a time of crisis rather than increase the...     

The Eric Garner Case: Statewide Survey of New York Voters’ Response to Proposed Police Accountability Legislation

The Eric Garner case was unique because this police-induced death was caught on video from before the moment of physical confrontation. A mixed-methods representative household survey and Garner's arrest video were used to determine NYS voters’ opinions (n = 119) about police indictment and Governor Cuomo's request for expanded authority. Respondents were asked whether the officers should face indictment, shown the arrest video, and then asked again about indictment. Prior to the video, a majority of respondents (n = 86; 57.4%) believed involved officers should have been indicted. After viewing, the proportion increased by 13.7%. A majority supported Cuomo's call for expanded authority to appoint a special prosecutor in cases where police are involved in civilian deaths. Study limitations include prior exposure to the footage and a low response rate. NYS voters generally supported Cuomo's proposal for appointing a special prosecutor; however, a quarter of respondents disagreed with the method of reform and expressed a: 1) preference for every case to go to trial; 2) preference for a case-by-case basis; or 3) distrust in state-appointed special prosecutors. This research could inform discussions regarding proposed system reforms. Future research with a less well-circulated video is needed to determine the extent to which videos of police-induced deaths affect public opinion.     

Asymmetric impact of inflation and unemployment on poverty in Pakistan: new evidence from asymmetric ARDL cointegration

The current study is intended to examine the asymmetric impact of inflation and unemployment on the poverty of Pakistan over the period of 1970 to 2016 by applying asymmetric Autoregressive Distributed Lag (ARDL) cointegration approach. The results revealed the presence of long-run asymmetries among inflation, unemployment and poverty. These findings also confirmed the atypical reaction of poverty to negative and positive shocks in unemployment and inflation. Furthermore, findings also confirmed negative and significant association among health expenditures (HE), population growth and poverty. The findings of the study have relevant implications for policymakers interested in the asymmetric relationship among inflation, unemployment and poverty in Pakistan.     

The Impact of European Monetary Union on Finance-Growth Nexus

This study examines the relationship between financial development and economic growth in 15 developed European countries before and after the formation of the euro. The results of the panel data analysis show that financial development is significant in promoting economic growth for both periods. The impact of the banking sector development on growth, however, is greater in the post-euro period, whereas the impact of stock market development on growth is reducing in the period investigated. The study concludes that the formation of European Monetary Union does not weaken the relationship between financial development and economic growth in developed European countries.     

Interorganizational System Characteristics and Supply Chain Integration: An Empirical Assessment*

Some firms have gained significant benefits by effectively deploying interorganizational systems (IOS) to tightly couple operations with their supply chain partners. In contrast, other firms with IOS deployments have struggled to achieve this level of success. So it is not clear how such systems can be configured to promote idiosyncratic interorganizational processes that integrate the supply chains and facilitate successful outcomes. To shed further light on this issue, we draw from multiple theoretical perspectives to develop a comprehensive and unique conceptualization of IOS characteristics that goes beyond the limited treatment it has received in extant literature. Furthermore, we empirically examine the IOS configuration choices made by firms with different supply chain integration (SCI) profiles. Our results support the notion that successful firms sequence the configuration of IOS characteristics toward effectively developing and supporting their supply chain process capabilities. In particular, we found that firms at the lower end of SCI configure IOS features to support supplier evaluation and automatic alerts. As organizations move to the upper end of the SCI spectrum, greater attention is paid to features associated with systems integration, planning, and forecasting. Recommendations to managers and academics stemming from our study are provided, along with avenues for future research.     

A Moment Preserving Finitization Across the Power Series Family of Probability Distributions

Finitization transforms a discrete distribution into a distribution with smaller support of specified size. In special cases finitization preserves moments (moments of the order n finitization coincide with those of the parent distribution). We create a moment preserving finitization method for power series distributions by introducing an alternative representation and showing how to finitize members of this new class in a manner that preserves moments of the parent distribution. We provide results on convolutions and a reproductive property for power series distributions that have been finitized in this manner, and show how these finitized distributions accelerate variate generation in simulation.