Expectations play a central role in modern macroeconomics. The econometric learning approach, in line with the cognitive consistency principle, models agents as forming expectations by estimating and updating subjective forecasting models in real time. This approach provides a stability test for...

We investigate the extent to which misperceptions about the economy can become self-reinforcing and thereby contribute to time-varying macroeconomic dynamics. To do so, we build a New Keynesian model with long-horizon expectations and dynamic predictor selection. Because agents solve...

This paper uses a macroeconomic agent-based model building on Delli Gatti et al. (2011) to investigate the influence of agents' expectations and consumption choices on government expenditure multipliers. Following a thorough investigation of the size of the multiplier in the pre-existing...

Binding lower bounds on interest rates and large government deficits limit the scope of fiscal and monetary policies to stimulate households' spending through financial intermediaries and firms. Policymakers have thus been implementing unconventional policies that aim to increase households'...

This paper presents an estimated model with learning and provides evidence that learning can improve the fit of popular monetary DSGE models and endogenously generate realistic levels of persistence. The paper starts with an agnostic view, developing a model that nests learning and some of the...

This survey discusses behavioral and experimental macroeconomics emphasizing a complex systems perspective. The economy consists of boundedly rational heterogeneous agents who do not fully understand their complex environment and use simple decision heuristics. Central to our survey is the...

This survey discusses behavioral and experimental macroeconomics emphasizing a complex systems perspective. The economy consists of boundedly rational heterogeneous agents who do not fully understand their complex environment and use simple decision heuristics. Central to our survey is the...

This exercise offers an innovative learning mechanism to model economic agent's decision-making process using a deep reinforcement learning algorithm. In particular, this AI agent is born in an economic environment with no information on the underlying economic structure and its own preference....

We propose a method to measure people's subjective models of the macroeconomy. Using a sample of 2,200 households representative of the US population and a sample of more than 1,000 experts, we measure beliefs about how the unemployment rate and the inflation rate respond to four different...