How temporary is temporary employment in Spain?

I use a multinomial logit model and the Spanish Active Population Survey (EPA) for the period 1987–1996 to study labor force transitions of temporary workers. These workers hold fixed-term employment contracts, which Spanish labor law distinguishes from indefinite contracts. Since the EPA questionnaire allows the identification of workers with either type of contract, I use matched EPA files to analyze transitions from temporary to permanent employment and explore the extent to which workers holding fixed-term employment contracts tend to be trapped in temporary employment relationships. I am grateful to an anonymous referee for helpful comments and suggestions. Pedro Albarrán-Pérez provided excellent research assistance.     

Lessons From Quantile Panel Estimation of the Environmental Kuznets Curve

We employ quantile regression fixed effects models to estimate the income-pollution relationship on NO _x (nitrogen oxide) and SO ₂ (sulfur dioxide) using U.S. data. Conditional median results suggest that conditional mean methods provide too optimistic estimates about emissions reduction for NO _x , while the opposite is found for SO ₂. Deleting outlier states reverses the absence of a turning point for SO ₂ in the conditional mean model, while the conditional median model is robust to them. We also document the relationship's sensitivity to including additional covariates for NO _x , and undertake simulations to shed light on some estimation issues of the methods employed.     

The extended satisfaction with life scale: Development and psychometric properties

The development and psychometric properties of the Extended Satisfaction With Life Scale (ESWLS) are described in detail. The ESWLS is a 50-item self-report scale that measures satisfaction with life in nine domains. It can be completed by most people in under 20 minutes and can be used by researchers and clinicians. The readability of the ESWLS was estimated to be between the seventh and tenth grade levels. Internal consistency, estimated by coefficient α, ranged from 0.81 to 0.96 for the individual subscales. Two-week test-retest reliability coefficients ranged from 0.74 to 0.87. Results of exploratory and confirmatory factor analyses strongly supported the factor structure of the ESWLS. Preliminary evidence of convergent and discriminant validity is provided as well as preliminary norms.     

Humanitarian Funding in a Multi‐Donor Market with Donation Uncertainty

This study analyzes the trade‐off between funding strategies and operational performance in humanitarian operations. If a Humanitarian Organization (HO) offers donors the option of earmarking their donations, HO should expect an increase in total donations. However, earmarking creates constraints in resource allocation that negatively affect HO's operational performance. We study this trade‐off from the perspective of a single HO that maximizes its expected utility as a function of total donations and operational performance. HO implements disaster response and development programs and it operates in a multi‐donor market with donation uncertainty. Using a model inspired by Scarf's minimax approach and the newsvendor framework, we analyze the strategic interaction between HO and its donors. The numerical section is based on real data from 15 disasters during the period 2012–2013. We find that poor operational performance has a larger effect on HO's utility function when donors are more uncertain about HO's expected needs for disaster response. Interestingly, increasing the public awareness of development programs helps HO to get more non‐earmarked donations for disaster response. Increasing non‐earmarked donations improves HO's operational efficiency, which mitigates the impact of donation uncertainty on HO's utility function.