Culture, feedback, and gender in education

Bericht

This dissertation consists of four distinct empirical essays that address various aspects of the economics of education. Chapters 2 and 3 show that patience and risk-taking as intertemporal preferences are closely related to differences in student achievement across and within countries. Chapter 3 hereby employs novel machine-learning methods to derive intertemporal preference measures from Facebook data. Using a field experiment among university students, chapter 4 shows that the ordering in which positive and negative performance feedback is provided, matters for study motivation and to some extent also exam performance. Finally, chapter 5 presents new insights to gender gaps in adult cognitive skills, showing that they are highly related to wages, especially at the top of the wage distribution.

Object Details

• ISBN: 978-3-95942-124-9
• Language: Englisch

References and Relationships

• Bibliographic citation: Series: ifo Beiträge zur Wirtschaftsforschung ; No. 101

Classification and Topics

• Classification: Wirtschaft ; Field Experiments ; Search; Learning; Information and Knowledge; Communication; Belief; Unawareness ; Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡ ; Education and Research Institutions: General ; Analysis of Education ; Higher Education; Research Institutions ; Education and Inequality ; Economics of Gender; Non-labor Discrimination ; Human Capital; Skills; Occupational Choice; Labor Productivity ; Cultural Economics; Economic Sociology; Economic Anthropology: General
• Subject: Patience ; Risk-taking ; Preferences ; Culture ; Intertemporal Decision-making ; International Student Achievement ; PISA ; Student Achievement ; Regions ; Social Media ; Facebook ; Education ; Feedback ; Motivation ; Performance ; Gender Wage Gap ; Skills ; Numeracy ; PIAAC

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Kinne, Lavinia
• Event: Veröffentlichung
• (who): ifo Institut - Leibniz-Institut für Wirtschaftsforschung an der Universität München
• (where): München
• (when): 2023

Further information

• Handle: http://hdl.handle.net/10419/274522
• Last update: 10.03.2025, 11:41 AM CET