My research focuses on heuristics and biases, specifically overconfidence. In the past, I explored and defined shared decision-making as a confounder of investor overconfidence. I reassessed the connection between excessive confidence and gender within the financial realm. In addition, I shed light on the impact of overconfidence on preschoolers and kindergartners by using a novel experimental setting with an innovative video intervention.

Below is a list of selected past and current research:

Peer-Reviewed Journal Article:

Objective: This exploratory study utilizes primary data from 60 participants aged 4 - 6 and their caregivers. The experiment involves a game theoretical gambling task and a video intervention. The aim is to examine the presence of excessive confidence and its potential impact on young decision-makers.

Objective: This study uses secondary data from 1,371 married investors and primary data from 320 married panelists to test whether sharing with someone in the household decreases overconfidence. It is argued that the perception of shared ownership of money partially explains the decrease in overconfidence among investors who share financial decisions.

Book Publications:

  • Piehlmaier, D. (2014). Irrational and Overrated: Is Our Unrealistic Self-Perception Connected to Educational Achievements?. Anchor Academic Publishing.
  • Piehlmaier, D. (2012). Overconfidence-A Matter of Education?. Grin Verlag.

Working Papers:

  • Piehlmaier, D. (2020). The Effect of Cooperative Decision-Making on Investor Overconfidence. Revise and resubmit to (omitted journal) ABS 4*.

Objective: This study examines the impact of shared decision-making on investor overconfidence. It analyzes nationally representative data from 2,000 US investors, approximately 6,400 US consumers, and 239 experimental subjects to answer the question whether investors who share the decision-making responsibility are less affected by the overconfidence bias than those who decide on their own.

  • Piehlmaier, D. (2020). Automated Financial Advice and Investor Overconfidence.

Objective: The study sheds light on the motivation of innovators and early adopters to utilize a novel financial service to invest. The results of a series of robust generalized linear and structural models suggest that these consumers are excessively confident in their financial knowledge. Overconfidence increases the propensity to use automated financial advice and outperforms any income effect in this process. The causality is established with an instrumental approach and supported with a nonparametric matching function.

  • Piehlmaier, D. (2019). Gender and Investor Overconfidence. Under review ABS 4 Journal

Objective: This paper revisits the issue of a possible gender effect on investor overconfidence. Information from more than 30,000 respondents was used to assess whether excessive confidence in one’s financial knowledge can be associated with a specific gender after controlling for primary vs secondary decision-making.

  • Warmath, D., Piehlmaier, D. (2019). Does Financial Education Increase Financial Skill?. To be submitted to ABS 4 journal

Objective: This longitudinal study uses an experimental design to test the effectiveness of traditional financial education to increase financial skills and dominant intertemporal behavior among college students.

  • Piehlmaier, D. (2018). Head Against the Wall: The Connection Between Concussions and Overconfidence.

Objective: This study sheds light on the influence of overconfidence on the propensity to experience a concussion and the likelihood to report it. Information from two datasets with a total of around 1,000 athletes was used to analyze these aspects. The research project is part of the Minds Matter Challenge from the NCAA and the Department of Defense.

  • Piehlmaier, D. (2018). The Realism of Overconfidence: A Study on the Role of Visualization.

Objective: This experimental study analyzes the impact of visual clues on the decision-making process. It uses a novel clinical trial design to test whether graphical representations of a given situation increase the accuracy and/or confidence in a person's decision under uncertainty.