Understanding behavior in the context of development: Risk, nudges, and identity

Guide(s)

Banerjee, Ritwik

Department

Economics

Area

Economics

University

Indian Institute of Management Bangalore

Place

Bangalore

Publication Date

3-31-2024

Year Awarded

March 2024

Year Completed

March 2024

Year Registered

June 2017

Abstract

This Thesis explores and synthesizes findings from four distinct research papers, each delving into unique aspects of human behavior and decision-making. It encompasses studies on four key areas: risk attitudes and preferences, the effectiveness of behavioral nudges, demographic and behavioral patterns in online labor markets, and the influence of social identity, notably caste identity, within the context of developing societies. The research involves diverse subject pools, ranging from university students to participants in India's online labor markets, students, teachers, and parents in rural Bihar. The first chapter investigates the predictive power of survey measures for risk-based preferences, highlighting a correlation between risk attitude and risk preference but uncovering inconsistencies in choices. The next chapter addresses the exponential growth bias (EGB) and its impact on compliance with COVID-19 safety norms, revealing the effectiveness of behavioral nudges in reducing EGB and enhancing compliance. The third chapter makes a methodological contribution and scrutinizes the representativeness and generalizability of online labor market data, revealing both disparities and consistencies when compared to nationally representative samples. The final chapter looks at the effects of teacher bias on students' outcomes in the context of Bihar's caste system. It highlights how caste identification of teachers negatively affects backward caste students' mental health and educational aspirations. The insights from the research undertaken in this Thesis challenge conventional wisdom, underscore the importance of behavioral interventions, and emphasize the need for targeted policy measures to address pervasive biases. Overall, this research contributes to a more nuanced understanding of human behavior and decision-making processes.

Pagination

xi, 227p.

Copyright

Indian Institute of Management Bangalore

Document Type

Dissertation

DAC Chairperson

Banerjee, Ritwik

DAC Members

Sahoo, soham; Bhalla, Manaswini

Type of Degree

Ph.D.

Relation

DIS-IIMB-FPM-P24-16

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