Relation entre l'emploi des jeunes et l'emploi des seniors dans vingt pays de l'OCDE

S'appuyant sur la thèse selon laquelle il existerait un volume fixe d'emplois dans l'économie, beaucoup de pays de l'OCDE ont cherché à lutter contre le chômage, en augmentation depuis les années 1970, par des dispositifs favorisant les cessations d'activité anticipées. Or les études à l'échelle de l'OCDE font apparaître en réalité une corrélation positive entre l'emploi des jeunes et celui des travailleurs âgés. Cependant, comme la plupart des auteurs estiment des effets moyens, on dispose de relativement peu d'informations sur l'hétérogénéité de ce lien. L'auteure tente de combler cette lacune en étudiant cette hétérogénéité dans vingt pays de l'OCDE.     

Religious involvement and group identification: The case of Hispanics in the United States

This study examines the link between religious involvement and racial group identification among Hispanics in the United States. Relying on the multifaceted nature of religious involvement, this study focuses on five dimensions of religious involvement—church attendance, prayer, the importance one places on religion, one's belief in God's love, and religious affiliation. Using the data from the Panel Study of American Religion and Ethnicity (1st wave, 2006), this study employs regression analysis. The results show that, among the five dimensions of religious involvement, only church attendance has a significant effect on racial group identification; Hispanics who frequently attend church are more likely to identify with Hispanics. This study suggests that church attendance increases Hispanics’ group identification for two reasons: first, because of the formation of Hispanic-oriented churches; and second, because of the intense interaction among Hispanics within their church communities.     

Wild-bootstrapped variance-ratio test for autocorrelation in the presence of heteroskedasticity

The Breusch–Godfrey LM test is one of the most popular tests for autocorrelation. However, it has been shown that the LM test may be erroneous when there exist heteroskedastic errors in a regression model. Recently, remedies have been proposed by Godfrey and Tremayne [9] and Shim et al. [21]. This paper suggests three wild-bootstrapped variance-ratio (WB-VR) tests for autocorrelation in the presence of heteroskedasticity. We show through a Monte Carlo simulation that our WB-VR tests have better small sample properties and are robust to the structure of heteroskedasticity.     

Analysis of Poisson varying-coefficient models with autoregression

In the regression analysis of time series of event counts, it is of interest to account for serial dependence that is likely to be present among such data as well as a nonlinear interaction between the expected event counts and predictors as a function of some underlying variables. We thus develop a Poisson autoregressive varying-coefficient model, which introduces autocorrelation through a latent process and allows regression coefficients to nonparametrically vary as a function of the underlying variables. The nonparametric functions for varying regression coefficients are estimated with data-driven basis selection, thereby avoiding overfitting and adapting to curvature variation. An efficient posterior sampling scheme is devised to analyse the proposed model. The proposed methodology is illustrated using simulated data and daily homicide data in Cali, Colombia.     

A Two-stage Binary Optional Randomized Response Model

Social desirability bias (SDB) is the tendency in respondents to answer questions untruthfully in the hope of giving good impression to others. SDB occurs when the survey question is highly sensitive or personal. The Randomized Response Technique (RRT) is one of several methods to get around SDB in face-to-face interview surveys involving sensitive questions. In this article, we first review some of the existing binary response RRT models. Then, we propose a new model—Two-Stage Binary Optional RRT model. Much of the focus is on estimating π, the prevalence of sensitive characteristic, and ω, the sensitivity level of the underlying question. We discuss the asymptotic properties of our estimators and present some simulation results. It turns out that the proposed Two-Stage Binary Optional RRT model is more effective than the Optional RRT model proposed by Gupta (2001).     

The Density of Nonprofit Organizations: Beyond Community Diversity and Resource Availability

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This paper examines the determinants of the density of nonprofits registered in the USA by using alternative measures of...     

The relationship between youth employment and older persons' employment in 20 OECD countries

Inspired by the “lump of labour” theory, a large number of OECD countries have encouraged the expansion of early retirement policies in response to rising unemployment since the 1970s. In reality, however, youth employment is found to be positively correlated with older persons' employment, although this is simply the overall finding for all OECD countries because most studies estimate average effects. Less is known about diversity in the relationship between youth employment and the employment of older workers. In order to help fill the research gap in this area, this study explores the heterogeneity of that relationship across 20 OECD countries.     

Public's Responses to an oil spill accident: A test of the attribution theory and situational crisis communication theory

Situational communication crisis communication theory (SCCT) and Weiner's attribution theory are used in this research to explain the public's responses to a corporation that caused an oil spill accident. Consistent with SCCT, people made higher internal attributions and lower external attributions about the oil spill accident when low distinctiveness information was provided, compared to when high distinctiveness information or no information was provided. Higher internal attributions and lower external attributions, in turn, resulted in greater punitive opinions and punitive behavior.     

Goodness-of-fit test for density estimation

It is often necessary to test whether X,…, X_n are from a certain density f(x) or not. Most test statistics such as the Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling statistics are based on the empirical distribution function F(x). In this paper we suggest a test statistic based on the integrated squared error of the kernel density estimator. We derive the asymptotic distribution of the statistic under the null and alternative hypothesis. Some simulation results for power comparisons are also given.     

Direct parametric inference for the cumulative incidence function

Summary.  In survival data that are collected from phase III clinical trials on breast cancer, a patient may experience more than one event, including recurrence of the original cancer, new primary cancer and death. Radiation oncologists are often interested in comparing patterns of local or regional recurrences alone as first events to identify a subgroup of patients who need to be treated by radiation therapy after surgery. The cumulative incidence function provides estimates of the cumulative probability of locoregional recurrences in the presence of other competing events. A simple version of the Gompertz distribution is proposed to parameterize the cumulative incidence function directly. The model interpretation for the cumulative incidence function is more natural than it is with the usual cause-specific hazard parameterization. Maximum likelihood analysis is used to estimate simultaneously parametric models for cumulative incidence functions of all causes. The parametric cumulative incidence approach is applied to a data set from the National Surgical Adjuvant Breast and Bowel Project and compared with analyses that are based on parametric cause-specific hazard models and nonparametric cumulative incidence estimation.