Earn More Tomorrow: Overconfidence, Income Expectations, and Consumer Indebtedness

Author:

GROHMANN ANTONIA,MENKHOFF LUKAS,MERKLE CHRISTOPH,SCHMACKER RENKE

Abstract

AbstractThis paper examines whether biased income expectations due to overconfidence lead to higher levels of debt taking. We show suggestive evidence for a link between overconfidence and borrowing behavior in a representative survey of German households (German Socio‐Economic Panel–Innovation Sample [GSOEP‐IS]). This motivates a laboratory experiment to study causality behind these effects. In two experiments, participants can purchase goods by borrowing against their future income. We exogenously manipulate overconfidence about income expectations by letting income depend on relative performance in hard and easy quiz tasks. In the main experiment, we successfully generate biased income expectations and show that participants with higher income expectations initially borrow more. Overconfident participants scale back their consumption after income feedback. However, they remain in higher debt at the end of the experiment, which has real financial consequences. In a robustness experiment, we rule out that overborrowing is driven by low prices of goods. Even though the expected income manipulation works less well in this experiment, debt‐taking behavior is very similar and correlates with income expectations and overconfidence.

Publisher

Wiley

Reference71 articles.

1. Unshrouding: Evidence from Bank Overdrafts in Turkey;Alan Sule;Journal of Finance,2018

2. Winning the Battle but Losing the War: The Psychology of Debt Management;Amar Moty;Journal of Marketing Research,2011

3. Weak Instruments in IV Regression: Theory and Practice;Andrews Isaiah;Annual Review of Economics,2019

4. One Instrument to Rule Them All: The Bias and Coverage of Just‐ID IV;Angrist Joshua;Journal of Econometrics,2024

5. Mostly Harmless Econometrics

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