Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/185577 
Year of Publication: 
2018
Series/Report no.: 
Tinbergen Institute Discussion Paper No. TI 2018-058/IV
Publisher: 
Tinbergen Institute, Amsterdam and Rotterdam
Abstract: 
We develop a general framework for measuring biases in expectation formation. The method is based on the insight that biases can be inferred from the response of forecast errors to past news. Empirically, biases are measured by flexibly estimating the impulse response function of forecast errors. The framework does not require precise knowledge of the true data-generating process, and it nests all major existing models of expectations. Monte Carlo simulations show that the method is able to detect biases in empirically relevant settings. We illustrate the methodology using data on inflation forecasts. Our framework can guide future models of expectations.
Subjects: 
expectation formation
bias
underreaction
overreaction
JEL: 
C53
D83
D84
E70
G40
Document Type: 
Working Paper

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