Biased Beliefs, Asset Prices, and Investment: A Structural Approach
We structurally estimate a model in which agents' information processing biases can cause predictability in firms' asset returns and investment inefficiencies. We generalize the neoclassical investment model by allowing for two biases — overconfidence and over-extrapolation of trends — that distort agents' expectations of firm productivity. Our model's predictions closely match empirical data on asset pricing and firm behavior. The estimated bias parameters are well-identified and exhibit plausible magnitudes.