Life Satisfaction in Brazil: Testing the Psychometric Properties of the Satisfaction With Life Scale (SWLS) in Five Brazilian Samples

The aim of this paper was to validate the Brazilian-Portuguese version of the Satisfaction With Life Scale (SWLS), presenting evidence of its reliability and construct and criterion-related validity. A large Brazilian sample (2,180 participants), from five different populations (undergraduate and high school students, general population, elementary school teachers, and physicians), was considered. The results confirmed the single factorial structure and reliability (0.77 < Cronbach’s α < 0.88, mean α = 0.81) of the SWLS. Supporting its criterion-related validity, the SWLS correlated positively with positive affect and negatively with both negative affect and psychological distress across all five samples. The findings indicate that the Brazilian-Portuguese version of the SWLS is a valid instrument to use with diverse Brazilian samples.     

Instrument endogeneity and identification-robust tests: Some analytical results

When some explanatory variables in a regression are correlated with the disturbance term, instrumental variable methods are typically employed to make reliable inferences. Furthermore, to avoid difficulties associated with weak instruments, identification-robust methods are often proposed. However, it is hard to assess whether an instrumental variable is valid in practice because instrument validity is based on the questionable assumption that some of them are exogenous. In this paper, we focus on structural models and analyze the effects of instrument endogeneity on two identification-robust procedures, the Anderson–Rubin (1949, AR) and the Kleibergen (2002, K) tests, with or without weak instruments. Two main setups are considered: (1) the level of “instrument” endogeneity is fixed (does not depend on the sample size) and (2) the instruments are locally exogenous, i.e. the parameter which controls instrument endogeneity approaches zero as the sample size increases. In the first setup, we show that both test procedures are in general consistent against the presence of invalid instruments (hence asymptotically invalid for the hypothesis of interest), whether the instruments are “strong” or “weak”. We also describe cases where test consistency may not hold, but the asymptotic distribution is modified in a way that would lead to size distortions in large samples. These include, in particular, cases where the 2SLS estimator remains consistent, but the AR and K tests are asymptotically invalid. In the second setup, we find (non-degenerate) asymptotic non-central chi-square distributions in all cases, and describe cases where the non-centrality parameter is zero and the asymptotic distribution remains the same as in the case of valid instruments (despite the presence of invalid instruments). Overall, our results underscore the importance of checking for the presence of possibly invalid instruments when applying “identification-robust” tests.     

Nonparametric adaptive likelihood weights

The weighted likelihood can be used to make inference about one population when data from similar populations are available. The author shows heuristically that the weighted likelihood can be seen as a special case of the entropy maximization principle. This leads him to propose the minimum averaged mean squared error (MAMSE) weights. He describes an algorithm for calculating these weights and shows its convergence using the Kuhn‐Tucker conditions. He explores the performance and properties of the weighted likelihood based on MAMSE weights through simulations.     

Contents to Volume 1, 2003

Volume Contents

Contents to Volume 1, 2003     

Implementation of allocation rules under perfect information

We study subgame perfect implementation through perfect information mechanisms in economic environments. We assume that worst bundles exist for each agent and can be assigned to them independently of the bundle assigned to at least one other agent. We restrict our attention to allocation rules that are anonymous, efficient on their own range, single-valued in welfare, and that induce agents' participation. We define a class of mechanisms, which satisfy properties of minimal path length and finiteness of message dimensions. We characterize the class of allocation rules which can be implemented through those mechanisms.I would like to thank Bhaskar Dutta, Louis Gevers, Matthew Jackson, Ozgur Kibris, Hervé Moulin and Arunava Sen for stimulating discussions, seminar participants at Université de Montréal (the Axiomatic Theory of Resource Allocation meeting, May 1996), Universitat Autonoma de Barcelona, Universitad Carlos III de Madrid and Université de Paris Dauphine for their comments, and Frédéric Gaspart, Tarik Kara, James Schummer, William Thomson and an anonymous referee for extremely useful comments and suggestions on earlier versions.     

Population Growth and the Local Provision of Services: The Role of Primary Schools in Portugal

Population Research and Policy Review - The shrinking population in many European regions has led to a debate on the relation between the local provision of services of general interest and the...     

Fair Production and Allocation of an Excludable Nonrival Good

We study fairness in economies with one private good and one partially excludable nonrival good. A social ordering function determines for each profile of preferences an ordering of all conceivable allocations. We propose the following Free Lunch Aversion condition: if the private good contributions of two agents consuming the same quantity of the nonrival good have opposite signs, reducing that gap improves social welfare. This condition, combined with the more standard requirements of Unanimous Indifference and Responsiveness, delivers a form of welfare egalitarianism in which an agent's welfare is measured by the quantity of the nonrival good that, consumed at no cost, would leave her indifferent to the bundle she is assigned.     

Increasing women's contribution on board decision making: The importance of chairperson leadership efficacy and board openness

In the last decade, the number of women on corporate boards has increased slightly, but the prevailing minority status of women directors implies that they will continue to face social barriers. While prior research has largely focused on explaining social barriers (e.g., being categorized as an out-group member) to increase diversity and its negative consequences, how boards can avoid these obstacles remains unclear. Stemming from recategorization theory, we examine whether and to what extent board chairperson leadership efficacy and board openness (as mechanisms to avoid out-group bias) enhance the influence of women when they are in the minority in board decision-making. In a sample of 146 Norwegian firms, we found a positive relationship between women minorities and women directors’ contribution to board decision-making. Moreover, we found that this positive impact increases when the board chairperson exercises leadership and the board operates in an atmosphere of openness.