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Improving Educational Outcomes: Analyses of Interventions and Public Opinion

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  • Katharina Wedel

Abstract

The dissertation consists of four distinct empirical essays that address various aspects of the economics of education. Chapter 2 sheds light on the interaction of two inputs into the education production function: instruction time and teacher qualifications. The results show that teacher qualifications play a moderating role for the effect of instruction time on student achievement. Chapter 3 examines dropout from a mentoring program designed to help disadvantaged adolescents and analyzes a program agency’s cost-benefit trade-offs in the decision to target additional interventions to prevent dropout. Chapter 4 investigates public opinion towards targeted financial support and the role of external circumstances compared to own effort for (educational) success. This chapter shows how information on the differences in academic-track attendance by parental background in Germany increases the perception that external circumstances determine educational success, as well as private donations to charities but does not affect demand for redistributive education spending. Finally, chapter 5 studies the consequences of technological change on individuals’ labor-market expectations and their intentions to participate in further training. Experimental results show that information about the automatability of one’s occupation affects labor-market expectations and increases the likelihood to participate in further training and retraining.

Suggested Citation

  • Katharina Wedel, 2024. "Improving Educational Outcomes: Analyses of Interventions and Public Opinion," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 105.
    • Handle: RePEc:ces:ifobei:105
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    File URL: https://www.ifo.de/DocDL/BeitrWiFo_105_Wedel.pdf
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    References listed on IDEAS

    as
    1. Gill Wyness & Lindsey Macmillan & Jake Anders & Catherine Dilnot, 2023. "Grade expectations: how well can past performance predict future grades?," Education Economics, Taylor & Francis Journals, vol. 31(4), pages 397-418, July.
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      Keywords

      Bildungsniveau; Künstliche Intelligenz; Qualifikation; Lehrkräfte; Arbeitsmarkt;
      All these keywords.

      JEL classification:

      • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
      • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
      • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
      • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
      • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
      • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
      • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
      • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
      • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
      • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
      • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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