Two separate branches of research have shown the empirical benefits of nonlinearities in macroeconomic models and bounded rationality, respectively. This paper bridges these literatures by developing a methodology for estimating DSGE models when expectations are formed by adaptive learning...

This paper compares within-sample and out-of-sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets and Wouters model is the chosen laboratory using quarterly real-time euro area data vintages, covering 2001Q1–2019Q4. The adaptive learning...

We employ senior bank loan officers' responses regarding actual and expected loan demand from enterprises linking successive surveys to determine the dominant expectation formation mechanism that best describes European senior bank loan officers' expectations. Our findings suggest that the...

The article argues that adaptive expectations play a role in deterrence and punishment by suggesting that offenders who have experienced the punishment before may expect a hight level of punishment if caught again. Therefore, punishing repeat offenders more severely than first-time offenders can...

We demonstrate the pitfalls when extrapolating behavioral findings across different contexts and decision environments. We focus on regret theory and the use of "regret lotteries" for motivating behavior change. Here, findings from one-shot settings have been used to promote regret as a tool to...

Agents forming adaptive expectations generally make systematic mistakes. This characterization has fostered the rejection of adaptive expectations in macroeconomics. Experimental evidence, however, shows that in complex environments human subjects frequently rely on adaptive heuristics –...

Agents forming adaptive expectations generally make systematic mistakes. This characterization has fostered the rejection of adaptive expectations in macroeconomics. Experimental evidence, however, shows that in complex environments human subjects frequently rely on adaptive heuristics –...

This paper investigates monetary policy in a heterogeneous agent new Keynesian (HANK) model where agents face idiosyncratic income risk and use adaptive learning in order to form their expectations. Households experience different histories and observe different idiosyncratic variables. This...

We show that, when private sector expectations are determined in line with adaptive learning, optimal policy responds persistently to cost-push shocks. The optimal response is stronger and more persistent, the higher is the initial level of perceived inflation persistence by the private sector....

Recent models of monetary policy have analyzed the desirability of different optimal and ad hoc interest rules under the restrictive assumption that forecasts of the private sector and the central bank are homogenous. In this paper, we study the implications of heterogeneity in forecasts of the...

This paper develops a theory of endogenously (non-)Ricardian beliefs. That is, whether Ricardian Equivalence holds in an equilibrium depends on endogenous private sector beliefs. The novelty here is a restricted perceptions viewpoint: in complex forecasting environments, agents forecast...

Adaptive learning under constant-gain allows persistent deviations of beliefs from equilibrium so as to more realistically reflect agents' attempt of tracking the continuous evolution of the economy. A characterization of these beliefs is therefore paramount to a proper understanding of the role...

We document simultaneous over- and under-responses to new information by households, firms, and professional forecasters in survey data. Such behavior is inconsistent with existing theories based on either behavioral bias or rational inattention. We develop a structural model of information...

We study a many-country endogenous growth model in which decisions about innovation and new investment are influenced by growth expectations. Adaptive learning dynamics determine the country-specific short-run transition paths. The countries differ in basic structural parameters and may impose...

We investigate the determinants of the commodity (ex-ante) risk premia for different maturities through the lens of a model of adaptive learning in which expected future spot prices are revised based on past prediction errors and changes in economic fundamentals. The main results show that risk...

In the spring of 2013 the Bank of Japan introduced a state-of-the-art monetary policy which included among other things inflation targeting and aggressive use of forward guidance. In contrast to the predictions of conventional macroeconomic theory, these policies have had only very limited...

In the spring of 2013 the Bank of Japan introduced a state-of-the-art monetary policy which included among other things inflation targeting and aggressive use of forward guidance. In contrast to the predictions of conventional macroeconomic theory, these policies have had only very limited...

Using the standard real business cycle model with lump-sum taxes, we analyze the impact of fiscal policy when agents form expectations using adaptive learning rather than rational expectations (RE). The output multipliers for government purchases are significantly higher under learning, and fall...

We review and evaluate methods previously adopted in the applied literature of adaptive learning in order to initialize agents' beliefs. Previous methods are classified into three broad classes: equilibrium-related, training sample-based, and estimation-based. We conduct several simulations...

Using micro data from the Duke University quarterly survey of Chief Financial Officers, we show that corporate investment plans as well as actual investment are well explained by CFOs' expectations of earnings growth. The information in expectations data is not subsumed by traditional variables,...

We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals—an average of the asset's past price changes and the asset's degree of overvaluation. The two signals are in conflict, and investors “waver” over time in...

Stagnation as the new norm and fiscal policy are examined in a New Keynesian model with adaptive learning determining expectations. We impose inflation and consumption lower bounds, which can be relevant when agents are pessimistic. The inflation target is locally stable under learning....