Teacher performance pay: Experimental evidence from Pakistan
By Felipe Barrera-Osorio, D. Raju. 2015
209 citations recorded by the source corpus.
This paper presents evidence from the first three years of a randomized controlled trial of a government-administered pilot teacher performance pay program in Punjab, Pakistan. The program offers yearly cash bonuses to teachers in a sample of public primary schools with the lowest mean student exam scores in the province. Bonuses are linked to three school-level indicators: the gain in student exam scores, the gain in school enrollment, and the level of student exam participation. Bonus receipt and size are also randomly assigned across schools according to whether or not the teacher is the school’s head. On average, the program increases school enrollment by 4.1 percent and student exam participation rates by 3.4 percentage points, both in the third year. The analysis does not find that the program increases student exam scores in any year. Mean impacts are similar across program variants. The positive mean impact on school enrollment is mainly seen in urban schools and the positive mean impact on student exam participation rates is only seen in rural schools.
Subfields: Education, Safety Research
View Paper: https://www.semanticscholar.org/paper/43dfc0832b7403942835698d24a9a507b659cc05
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Citations in the corpus
- Improving Education in Developing Countries (2016, background): “For example, Barrera-Osorio and Raju (2015) compared three teacher-incentive programs in Punjab, Pakistan, in 2010: one that rewarded teachers based on their school’s average gain on fifth-grade assessments of math, science, and Urdu; a similar one that rewarded principals based on the same metric; ”
- Conceptual Aspects of Global Value Chains (2019, background): “…be compounded by the fact that large multinational companies typically design their production processes with their home market factor prices in mind, and might then impose these same production processes, possibly involving large amounts of automation, in their host countries (see Rodrik 2018).”
- Do Global Value Chains Enhance Economic Upgrading? A Long View (2020, background): “We hypothesise, in the vein of Rodrik (2018), that this is due to bias against (unskilled) labour in modern technologies that are diffusing throughout GVCs, driven by stringent requirements from multinational lead firms in the chains.”
- Robots and reshoring: Evidence from Mexican labor markets (2020, background): “4See Rodrik (2018) for a more general discussion on the impact of new technologies on global value chains.”