The school-to-work transition of 2<Superscript>nd</Superscript> generation immigrants in Denmark

2^nd generation immigrants from less developed countries have less education and a lower employment frequency compared to the native Danish youth. We analyse the school-to-work transition of these groups using panel data for the years 1985–1997. The educational gap between 2^nd generation immigrants and the Danish youth is to some extent explained by age structure, while age does not explain the native-immigrant gap concerning the duration of waiting time until first job and the duration of first employment spell. Instead parental capital and neighbourhood effects seem to play a major role. We find large gender differences among 2^nd generation immigrants in the school-to-work transition.All Correspondence to Nina Smith. Thanks to Thomas Haugaard Jensen, Anne-Sofie Reng Rasmussen and Mette Skak-Nielsen who have done part of the computational work. We also want to thank two anynomous referees and participants in the ESF-conference on Migration and Development in Naples 2000 and the ESPE conference in Athens 2001 for many valuable comments. The project has been financed by the Danish Social Science Research Council (FREJA), the Danish Ministry of Labour and TSER. Furthermore, Helena Skyt Nielsen has been supported financially by the Danish Social Science Research Council (SSF), while this work was undertaken. Responsible editors: David Card and Christopher M. Schmidt.     

Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model

We consider model based inference in a fractionally cointegrated (or cofractional) vector autoregressive model, based on the Gaussian likelihood conditional on initial values. We give conditions on the parameters such that the process X_t is fractional of order d and cofractional of order d−b; that is, there exist vectors β for which β^′X_t is fractional of order d−b and no other fractionality order is possible. For b=1, the model nests the I(d−1) vector autoregressive model. We define the statistical model by 0 < bd, but conduct inference when the true values satisfy 0d₀−b₀<1/2 and b₀≠1/2, for which β₀^′X_t is (asymptotically) a stationary process. Our main technical contribution is the proof of consistency of the maximum likelihood estimators. To this end, we prove weak convergence of the conditional likelihood as a continuous stochastic process in the parameters when errors are independent and identically distributed with suitable moment conditions and initial values are bounded. Because the limit is deterministic, this implies uniform convergence in probability of the conditional likelihood function. If the true value b₀>1/2, we prove that the limit distribution of is mixed Gaussian, while for the remaining parameters it is Gaussian. The limit distribution of the likelihood ratio test for cointegration rank is a functional of fractional Brownian motion of type II. If b₀<1/2, all limit distributions are Gaussian or chi‐squared. We derive similar results for the model with d = b, allowing for a constant term.     

Differences in Male and Female Employees’ Personal Attributes? Myth or a Reasonable Assumption: Even Within Professions?

A growing literature on work place gender diversity and emotional labor has emerged. Both build on more or less implicit assumptions of gender differences in personal attributes. However, it still needs to be tested whether differences are prevalent among male and female employees within the same professional occupation. Based on data from 1,320 Danish public employees in five professional occupations, the article tests the prevalence of gender-based differences—while controlling for age—in empathy, systemizing and competitiveness—three attributes that are commonly argued in both sociology and neurology to be gender-based and commonly argued to be important among scholars studying work behavior and gender. Findings show that differences in empathy, systemizing and competitiveness are prevalent among male and female employees within same the professional occupation—but not always. In some professions, selection mechanisms minimize and sometimes even eliminate particular differences between the two sexes. Hence, both managers and scholars need to reflect on selection mechanisms before assuming fundamental gender differences in personal attributes within professions.     

A stress process model of family caregiver service utilization: factors associated with respite and counseling service use

This study examines whether caregivers' differential utilization of respite and counseling support services is associated with different situational stress processes. A multinomial regression analysis was conducted to compare respite users, counseling users, and those who used neither service, using data collected on a statewide random sample of 1,643 California caregivers providing assistance to individuals aged 50 or older. Compared with caregivers who used neither service, respite service users were more likely to have demanding care situations giving rise to physical symptoms of stress, and were more likely to use community services for the care recipient to augment their care. In contrast, counseling service users were more likely to be managing the meaning of their care situation by seeking out information about services and talking with a confidant about their situation, while coping with both emotional and physical symptoms of stress. Tailoring caregiver interventions to meet the support needs and coping strategies stemming from diverse caregiving situations and caregiver characteristics may increase the likelihood that those interventions will be effective in alleviating or preventing deleterious secondary stress frequently experienced by family caregivers.     

Finite Sample Comparison of Parametric,Semiparametric, and Wavelet Estimators of Fractional Integration

ABSTRACT

In this paper we compare through Monte Carlo simulations the finite sample properties of estimators of the fractional differencing parameter, d. This involves frequency domain, time domain, and wavelet based approaches, and we consider both parametric and semiparametric estimation methods. The estimators are briefly introduced and compared, and the criteria adopted for measuring finite sample performance are bias and root mean squared error. Most importantly, the simulations reveal that (1) the frequency domain maximum likelihood procedure is superior to the time domain parametric methods, (2) all the estimators are fairly robust to conditionally heteroscedastic errors, (3) the local polynomial Whittle and bias-reduced log-periodogram regression estimators are shown to be more robust to short-run dynamics than other semiparametric (frequency domain and wavelet) estimators and in some cases even outperform the time domain parametric methods, and (4) without sufficient trimming of scales the wavelet-based estimators are heavily biased.     

Evaluating the performance of simple estimators for probit models with two dummy endogenous regressors

This study considers the small sample performance of approximate but simple two-stage estimators for probit models with two endogenous binary covariates. Monte Carlo simulations show that all the considered estimators, including the simulated maximum-likelihood (SML) estimation, of the trivariate probit model are biased in very small samples (N=100). With moderately small samples (N=500), some of the approximations perform as well as the SML estimator when the degree of endogeneity is not very large. Some of the approximations seem robust with higher correlations and are also promising for testing the exogeneity of binary covariates. The methods are used to estimate the impact of employment-based health insurance and health care (HC) on HC use, where the approximations seem to work at least as well as the SML and in some cases better.     

Out of mind,out of sight? Leading distributed workers to ensure health and safety

ABSTRACT

Current frameworks of leadership are based on face-to-face interaction. A growing number of workers work away from their main location of work; this makes it challenging for leaders to ensure the health and safety of distributed workers. In the present study, we explore the relationship between line managers’ health and safety leadership and distributed workers’ health and safety behaviours. We also explore the organisational procedures and practices that may enhance the impact of health and safety leadership. We included a broad range of distributed workers (in analyses, minimum N?=?626) from 11 organisations. We found that health-and-safety-specific leadership was positively related to distributed workers’ self-rated health, safety compliance and safety proactivity. These relationships were augmented by distributed workers’ sense of being included in the workplace. Knowledge sharing among colleagues was associated with safety compliance when health-and-safety-specific leadership was low. Our results indicate that one way of addressing the challenges of distributed working may be through line managers putting health and safety on the agenda.     

Productivity,Real Wages and Worker Rights: A Cross-National Comparison

ABSTRACT: High unemployment in Europe has led many economists to recommend labour market deregulation — the removal of obstacles to labour market flexibility. These “obstacles” include union power, employment protection legislation and income security arrangements. We argue that such worker rights promote productivity and real wage growse effects. Policy-makers should be aware of these positive effects on productivity and real wage growth when considering curtailing worker rights in order to reduce unemployment.