Session Information
99 ERC SES 04 K, Teaching and learning with purpose
Paper Session
Contribution
Teacher cognitive skills shifted notably over the last decade. Using PIAAC Cycles
1-–2 for 25 countries, we document how the level, dispersion, and relative standing of
teachers’ numeracy and literacy evolved within countries. The descriptive evidence
reveals large heterogeneity: some countries saw teacher-skill declines of about
one standard deviation, while others improved; and teachers’ position within the
tertiary-educated workforce moved by 15+ percentile ranks in several countries—
consistent with substantial changes in selection into teaching. We then ask which
policies and labor-market conditions (e.g., relative teacher wages, outside options
for high-skilled women, and teacher status) are associated with these shifts. In a
second step, we relate these country-level changes in teacher skills to changes in
student achievement using rich PISA microdata in mathematics and reading. For
identification, we exploit within-country variation across subjects and over time,
testing whether students in countries where teachers gained in numeracy relative to
literacy also improved more in math relative to reading. Data on subject-specific
skills in PIAAC for the overall population and for detailed occupations enables a
set of robustness checks and placebo tests that help separate changes in teacher
skills from broader skill changes within countries. Understanding how and why
teacher skills evolve internationally–—and whether these changes translate into
student achievement–—matters for policies aimed at strengthening teacher quality
and improving educational outcomes.
Method
This study combines two OECD datasets to examine how changes in teacher cognitive skills relate to changes in student achievement. We use PIAAC Cycle 1 (2012, 2015) and Cycle 2 (2022, 2023) to construct country-level measures of teacher numeracy and literacy skills across 25 countries (~9,500 teachers). These are linked to PISA microdata (2009, 2012, 2018, 2022) covering approximately 860,000 students. We implement two complementary identification strategies. First, a baseline panel model exploits within-country variation over time: Aicwk = β Tc,s(w),k + X'icw γ + αc + λw + εicwk where student achievement depends on teacher skills, with country and wave fixed effects eliminating time-invariant confounders and global shocks. Second, a within-country, across-subject, over-time design tests whether countries where teachers gained in numeracy relative to literacy also improved more in mathematics relative to reading: (Aicw,math − Aicw,read) = β (Tc,s(w),num − Tc,s(w),lit) + X'gapicw γ + αc + λw + uicw This triple-difference approach (country × time × subject) eliminates all time-invariant country factors and reforms affecting both subjects equally. Controls include student/family characteristics, school resources, instructional time gaps, and parental skill gaps. Robustness checks include placebo tests using other occupations and empirical Bayes shrinkage for measurement error.
Expected Outcomes
Our descriptive analysis reveals substantial cross-country heterogeneity in how teacher cognitive skills evolved between PIAAC cycles. While pooled averages show minimal change (−1 point numeracy, −2 points literacy), individual countries experienced dramatic shifts: Lithuania declined by 30 points in numeracy and 25 in literacy, while Japan and the Netherlands gained 19-20 points in numeracy. Teachers' relative position within the tertiary-educated workforce shifted by over 15 percentile points in multiple countries, indicating meaningful changes in selection into teaching. These shifts occurred against widespread student achievement declines, particularly in mathematics, motivating our core research question: do changes in teacher skills translate into changes in student performance in a subject-specific manner? Based on prior cross-sectional evidence (Hanushek et al., 2019) and our identification strategy, we expect to find positive relationships between teacher skill changes and student achievement changes. The within-country, across-subject, over-time design should reveal whether countries with relative gains in teacher numeracy versus literacy show corresponding improvements in mathematics versus reading performance. Additionally, we expect that changes in labor market conditions—particularly women's access to high-skill occupations and relative teacher wages—correlate with changes in teacher cognitive skills, providing insights into policy levers for strengthening teacher quality. Note: All results will be available by conference presentation in August 2026.
References
Hanushek, E. A., Piopiunik, M., & Wiederhold, S. (2019). The value of smarter teachers: International evidence on teacher cognitive skills and student performance. Journal of Human Resources, 54(4), 857-899. Teacher Quality & Student Achievement: Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014). Measuring the impacts of teachers II: Teacher value-added and student outcomes in adulthood. American Economic Review, 104(9), 2633-2679. Hanushek, E. A., & Rivkin, S. G. (2012). The distribution of teacher quality and implications for policy. Annual Review of Economics, 4(1), 131-157. Jackson, C. K., Rockoff, J. E., & Staiger, D. O. (2014). Teacher effects and teacher-related policies. Annual Review of Economics, 6(1), 801-825. Teacher Subject Knowledge: Bietenbeck, J., Piopiunik, M., & Wiederhold, S. (2018). Africa's skill tragedy: Does teachers' lack of knowledge lead to low student performance? Journal of Human Resources, 53(3), 553-578. Teacher Labor Markets: Bacolod, M. P. (2007). Do alternative opportunities matter? The role of female labor markets in the decline of teacher quality. The Review of Economics and Statistics, 89(4), 737-751. Corcoran, S. P., Evans, W. N., & Schwab, R. M. (2004). Women, the labor market, and the declining relative quality of teachers. Journal of Policy Analysis and Management, 23(3), 449-470. Nagler, M., Piopiunik, M., & West, M. R. (2020). Weak markets, strong teachers: Recession at career start and teacher effectiveness. Journal of Labor Economics, 38(2), 453-500. International Comparisons: Dolton, P., & Marcenaro-Gutierrez, O. D. (2011). If you pay peanuts do you get monkeys? A cross-country analysis of teacher pay and pupil performance. Economic Policy, 26(65), 5-55. Hanushek, E. A., & Woessmann, L. (2011). The economics of international differences in educational achievement. Handbook of the Economics of Education, 3, 89-200.
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