Jerusalem's Population, 1995–2020: Demography, Multiculturalism and Urban Policies

This paper reports on a new projection of Jerusalem's population to the year 2020. Cultural, social and demographic trends within the city were analysed for eight main subpopulations featuring different ethnic, religious, and socioeconomic characteristics. Separate assumptions on mortality, fertility, and geographical mobility were developed and projected based on 1995 estimates of size and age-sex composition for each subpopulation. The selected results presented here focus on the balance of the Jewish versus the Arab and other population, and within the Jewish population, of the more religiously observant subpopulation versus the rest. The findings shed light on the critical importance of the mutual relationship between demography and socio-political developments. Implications of expected demographic trends for urban planning in a multicultural context are discussed within a broader evaluation of local and national policy options.     

Generalized least squares with misspecified serial correlation structures

Summary. The regression literature contains hundreds of studies on serially correlated disturbances. Most of these studies assume that the structure of the error covariance matrix Ω is known or can be estimated consistently from data. Surprisingly, few studies investigate the properties of estimated generalized least squares (GLS) procedures when the structure of Ω is incorrectly identified and the parameters are inefficiently estimated. We compare the finite sample efficiencies of ordinary least squares (OLS), GLS and incorrect GLS (IGLS) estimators. We also prove new theorems establishing theoretical efficiency bounds for IGLS relative to GLS and OLS. Results from an exhaustive simulation study are used to evaluate the finite sample performance and to demonstrate the robustness of IGLS estimates vis-à-vis OLS and GLS estimates constructed for models with known and estimated (but correctly identified) Ω. Some of our conclusions for finite samples differ from established asymptotic results.     

Efficient Semiparametric Estimation of Quantile Treatment Effects

This paper develops estimators for quantile treatment effects under the identifying restriction that selection to treatment is based on observable characteristics. Identification is achieved without requiring computation of the conditional quantiles of the potential outcomes. Instead, the identification results for the marginal quantiles lead to an estimation procedure for the quantile treatment effect parameters that has two steps: nonparametric estimation of the propensity score and computation of the difference between the solutions of two separate minimization problems. Root‐N consistency, asymptotic normality, and achievement of the semiparametric efficiency bound are shown for that estimator. A consistent estimation procedure for the variance is also presented. Finally, the method developed here is applied to evaluation of a job training program and to a Monte Carlo exercise. Results from the empirical application indicate that the method works relatively well even for a data set with limited overlap between treated and controls in the support of covariates. The Monte Carlo study shows that, for a relatively small sample size, the method produces estimates with good precision and low bias, especially for middle quantiles.     

Patterns of american jewish fertility

The 1971 National Jewish Population Survey provides cross-sectional data on achieved fertility, detailed birth histories, and other information on family formation for a countrywide representative sample of 5,303 ever-married women. Cohort analysis shows that—although at lower levels—Jewish fertility has followed the general trends of American population.     

Measuring cross-country technological catch-up through variable-parameter FDH

In this paper, we estimate indices of technological catch-up for a sample of 52 countries through the FDH approach with variable scaling parameters proposed in Kerstens and Vanden Eeckaut (1999). We show that this technique has significant advantages for the international comparisons of productivity and, more generally, wherever the assumption of convexity for the production set is not likely to be appropriate. We want to thank Laurens Cherchye, Hal Fried, Kristian Kerstens and an anonymous referee for useful comments on preceding versions of this paper. The usual disclaimer applies. Financial support from the MURST, Italy, is gratefully acknowledged.     

Multidimensional poverty in Latin America and the Caribbean: new evidence from the Gallup World Poll

This paper studies poverty in Latin America and the Caribbean from a multidimensional perspective, exploiting the Gallup World Poll, a survey that provides a unique opportunity to perform intercountry comparisons. By applying factor analysis we find that welfare can be appropriately summarized by three dimensions: income, subjective welfare and “basic needs”. Another finding is that the US$ 1 line appears to be a reasonable cut-off value to measure food deprivation.     

Quis custiodet ipsos custodes? How to detect and correct teacher cheating in Italian student data

The increasing diffusion of standardized assessments of students’ competences has been accompanied by an increasing need to make reliable data available to all stakeholders of the educational system (policy makers, teachers, researchers, families and students). In this light, we propose a multistep approach to detect and correct teacher cheating, which decreases the quality of student data offered by the Italian Institute for the Educational Evaluation of Instruction and Training. Our method integrates the “mechanistic” logic of the fuzzy clustering technique with a statistical model-based approach, and it aims to improve the detection of cheating and to correct test scores at both the class and student level. The results show a normalization of the scores and a stronger correction on data for Southern regions, where the propensity to cheat appears to be highest.