Real estate investment has recently been advancing rapidly in both volume and complexity. A sound understanding of behavioral issues in this sector benefits all stakeholders, such as investors, regulators and local residents. We focus on one of the most robust behavioral anomalies in business and finance research: overconfidence. Overconfidence significantly influences financial decision and investment performance. However, theoretical and empirical studies are lacking in real estate sector. We conduct a critical review of the overconfidence literature to bridge this gap, identify future research directions for the study of overconfidence in real estate markets, and suggest strategies to handle technical issues, such as the robustness of overconfidence measurement and data availability. Findings provide useful guidelines for researchers and practitioners to design and implement overconfidence studies in real estate research.
