Search

Abstract: In this paper I use a rich dataset in order to observe each student in different subjects and courses over time. Unlike most peer studies, I identify the peers and the teachers that each student has had in every classroom. This enables me to handle the simultaneity and selection problems, which are inherent in estimating peer effects in the educational production function. I use a value-added approach with lagged peer achievement to avoid simultaneity and extensive fixed effects to rule out selection. To be specific, it is within-student across-subject variation with additional controls for time-invariant teacher characteristics that is exploited. Moreover, I identify students that are attending classes in which they have no peers from previous education which otherwise might bias the result. I find positive peer effects for the average student but also that there is a non-linear dimension. Lower-achieving students benefit more from an increase in both mean peer achievement and the spread in peer achievement within the classroom than their higher-achieving peers. [Copyright &y& Elsevier]

This study assesses the impact of a voucher project that targeted vulnerable and poor pregnant women in Uganda. Highly subsidised vouchers gave access to a package of safe delivery services consisting of four antenatal visits, safe delivery, one postnatal visit, the treatment and management of selected pregnancy-related medical conditions and complications, and emergency transport. Vouchers were sold during the project's operational period from 2016 to 2019. This study covers 8 out of 25 project-benefiting districts in Uganda and a total of 1,881 pregnancies, including both beneficiary and non-beneficiary mothers. Using a matching design, the results show a positive effect on the survival of new-born babies. The difference in the survival rate between the control group and the treatment group is 5.4% points, indicating that the voucher project reduced infant mortality by more than 65 per cent. [ABSTRACT FROM AUTHOR]

Abstract: This paper studies technical efficiency for Swedish employment offices between 2004 and 2010. Efficiency is computed using a semi-dynamic DEA-framework. On the input side we include a measure of input quality and we also control for services that are carried out by private contractors. On the output side we are using both intermediate and final outputs. The motivation for using an intermediate output is to take into account the fact that employment offices might have strengthen the possibility for unemployed individuals that remain unemployed to get a job in the forthcoming year. The study identifies an average yearly inefficiency between 7 and 10 percent. It is also observed that the inefficiency is unevenly distributed. To make employment offices more efficient this uneven distribution needs to be considered, otherwise efforts to improve efficiency might instead result in increased inefficiency. [Copyright &y& Elsevier]