A generalized least squares estimation method for VARMA models

In this paper a new generalized least squares procedure for estimating VARMA models is proposed. This method differs from existing ones in explicitly considering the stochastic structure of the approximation error that arises when lagged innovations are replaced with lagged residuals obtained from a long VAR. Simulation results indicate that this method performs better than the Double Regression method and similar to Mauricio's (1995) exact maximum likelihood estimation procedure.     

Approval of equal rights and gender differences in well-being

Women earn less than men but are not less satisfied with life. This paper explores whether norms regarding the appropriate pay for women compared to men may explain these findings. We find that the gender wage gap is smaller where a larger fraction of the citizenry has voted in favor of equal pay. We also find that employed women are less (not more) satisfied with life in liberal communities where the gender wage gap is smaller. These findings suggest that norms regarding the appropriate relative pay of women compared to men are shaping gender differences in well-being.     

Optimization models for degrouping population data

In certain countries population data are available in grouped form only, usually as quinquennial age groups plus a large open-ended range for the elderly. However, official statistics call for data by individual age since many statistical operations, such as the calculation of demographic indicators, require the use of ungrouped population data. In this paper a number of mathematical models are proposed which, starting from population data given in age groups, enable these ranges to be degrouped into age-specific population values without leaving a fractional part. Unlike other existing procedures for disaggregating demographic data, ours makes it possible to process several years' data simultaneously in a coherent way, and provides accurate results longitudinally as well as transversally. This procedure is also shown to be helpful in dealing with degrouped population data affected by noise, such as those affected by the age-heaping phenomenon.     

Popular support for social evaluation functions

This paper provides sufficient conditions under which the preferences of a social decision maker accord with majority voting. We show that an additive and monotone utilitarian social evaluation function is consistent with the outcomes of majority voting for the class of income distributions that are symmetric under a strictly increasing transformation. An example is the lognormal distribution. The required symmetry condition is generally accepted employing panel data for 116 countries from the World Bank’s POVCAL database.In this manner, the proposed methodology provides the consistent degree of inequality aversion and shows that median income is a good proxy for welfare.     

What finite-additivity can add to decision theory

Statistical Methods & Applications - We examine general decision problems with loss functions that are bounded below. We allow the loss function to assume the value $$infty $$ . No other...     

Lambie-Mumford,H. Silvasti,T. (ed.): The Rise of Food Charity in Europe

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Taking Adoption Issues into the New Millennium: An Introduction

The prevalence of adoption in our society and our awareness of adoption-related issues have increased markedly in recent years, due to socioeconomic and sociopolitical changes at the national and international level. Given the high incidence of adoption in the United States today, it is perplexing and unfortunate that many adoptive triad members still feel that the complexities of adoption are not fully understood. In addition, many clinicians still feel that clear and useful guidelines and training for therapy with adoptive triad members are hard to find. This introduction addresses these concerns in general in the context of discussing the different contributions included in this special issue.