Comparisons of the Unbiased Ridge Estimation to the Other Estimations

In this article, we employ the method of empirical likelihood to construct confidence intervals of conditional density for a left-truncation model. It is proved that the empirical likelihood ratio admits a limiting chi-square distribution with one degree of freedom when the lifetime observations with multivariate covariates form a stationary α-mixing sequence.     

Some General Comparative Points on Chao's and Zelterman's Estimators of the Population Size

Abstract. Two simple and frequently used capture–recapture estimates of the population size are compared: Chao's lower‐bound estimate and Zelterman's estimate allowing for contaminated distributions. In the Poisson case it is shown that if there are only counts of ones and twos, the estimator of Zelterman is always bounded above by Chao's estimator. If counts larger than two exist, the estimator of Zelterman is becoming larger than that of Chao's, if only the ratio of the frequencies of counts of twos and ones is small enough. A similar analysis is provided for the binomial case. For a two‐component mixture of Poisson distributions the asymptotic bias of both estimators is derived and it is shown that the Zelterman estimator can experience large overestimation bias. A modified Zelterman estimator is suggested and also the bias‐corrected version of Chao's estimator is considered. All four estimators are compared in a simulation study.     

Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence

This article proposes a new likelihood-based panel cointegration rank test which extends the test of Örsal and Droge (2014 Örsal, D. D. K., Droge, B. (2014). Panel cointegration testing in the presence of a time trend. Computational Statistics and Data Analysis 76:377–390.[Crossref], [Web of Science ®] , [Google Scholar]) (henceforth panel SL test) to dependent panels. The dependence is modelled by unobserved common factors which affect the variables in each cross-section through heterogeneous loadings. The data are defactored following the panel analysis of nonstationarity in idiosyncratic and common components (PANIC) approach of Bai and Ng (2004 Bai, J., Ng, S. (2004). A PANIC attack on unit roots and cointegration. Econometrica 72(4):1127–1177.[Crossref], [Web of Science ®] , [Google Scholar]) and the cointegrating rank of the defactored data is then tested by the panel SL test. A Monte Carlo study demonstrates that the proposed testing procedure has reasonable size and power properties in finite samples.     

Brother correlations in earnings in Denmark, Finland, Norway and Sweden compared to the United States

The correlation in economic status among siblings is a useful “omnibus measure” of the overall impact of family and community factors on adult economic status. In this study we compare brother correlations in long-run (permanent) earnings between the United States, on one hand, and the Nordic countries (Denmark, Finland, Norway and Sweden) on the other. Our base case results, based on very similar sample criteria and definitions for all countries, show that this correlation is above 0.40 in the United States and in the range 0.14–0.26 in the Nordic countries. Even though these results turn out to be somewhat sensitive to some assumptions that have to be made, we conclude that the family and community factors are more important determinants of long-run earnings in the United States than in the Nordic countries. Received: 27 July 2000/Accepted: 7 March 2001 All correspondence to: Anders Bj?rklund. Comments from two referees, conference participants at ESPE2000 and the Canadian Employment Research Forum, seminar participants in Aarhus, Uppsala, Bonn, and Stockholm are gratefully acknowledged. We thank NOS-S for financial support. The Swedish data collection was also supported by HSFR and SFR. The Finnish data were obtained with support from the Yrj? Jahnsson Foundation. We thank Tom Erik Aab? for preparing the Norwegian data, and Esben Agerbo for computational assistance with the Danish data. Responsible editor: John F. Ermisch.     

Adolescent–Parent Relations in Asian Indian and Salvadoran Immigrant Families: A Cultural–Developmental Analysis of Autonomy,Authority, Conflict,and Cohesion

From a cultural perspective, this study addressed the two developmental theories that adolescents want more autonomy and fewer parental rules than parents consider appropriate, and that discrepancy between adolescents and parents on views of autonomy and authority result in decreased cohesion and increased conflict. The study included 100 adolescent–parent dyads who were immigrants to the United States from El Salvador and India. While findings pointed to cross‐cultural commonalities, such as autonomy seeking among adolescents, they also highlighted the importance of culture to different meanings of autonomy and the limits of the discrepancy thesis. The discussion calls for future scholarship to include concepts of salience to diverse groups such as family interdependence and appreciation for the parental immigrant experience.     

Fingerprinting and Biopolitical Police Surveillance in Turkey

This paper problematises the 2007 amendments to Article 5 of the Police Powers and Duties Law (PPDL) in Turkey that categorises all citizens as ‘potential suspects’ through fingerprinting technology. The amended article requires everyone to submit fingerprint samples when applying for certain official documents such as driver's licences, passports, and ID cards. Consequently, the result has been dramatic: the police have so far proactively recorded more than 60 million people's fingerprints in the process of issuing these documents. Yet, there has been no research into this phenomenon. This paper suggests that this sort of biometric police surveillance is not a recent development, rather part of a long tradition within policing ‘Turkish’ national interests. Following Foucault's genealogical methodology, the paper argues that the governability of a large heterogeneous population across a vast territory has always demanded biometric policing technologies, addressing biopolitical proximity between the capacity building of modern security apparatus and identifying the unknown masses. Studying the historical data comparatively reveals that fingerprinting first started with recording exceptional groups such as criminals and convicts in Europe, while from the late Ottoman Empire to modern Turkey, large sections of the population have always persistently been targeted by police regulations.     

New calibration estimator in stratified sampling

This paper develops the theory of calibration estimation and proposes calibration approach alternative to existing calibration estimators for estimating population mean of the study variable using auxiliary variable in stratified sampling. The theory of new calibration estimation is given and optimum weights are derived. A simulation study is carried out to performance of the proposed calibration estimator with other existing calibration estimators. The results reveal that the proposed calibration estimators are more efficient than Tracy et al., Singh et al., Singh calibration estimators of the population mean.