This paper evaluates how adaptive learning agents weight different pieces of information when forming expectations with a recursive least squares algorithm. The analysis is based on a renewed and more general non-recursive representation of the learning algorithm, namely, a penalized weighted...

Analysis of the Michigan Survey data confirms U.S. inflation expectations are not perfectly anchored in the event of an oil price shock. Two key results emerge through counterfactual analysis. First, better anchoring of inflation expectations can ameliorate the mild inflation impact which occurs...

Survey data on expectations of a range of macroeconomic variables exhibit low-frequency drift. In a New Keynesian model consistent with these empirical properties, optimal policy in general delivers a positive inflation rate in the long run. Two special cases deliver classic outcomes under...

This study experimentally analyses traders' choices, with and without asymmetric information, based on the riding-bubble model. While asymmetric information has been necessary to explain a bubble in past theoretical models, our experiments show that traders have an incentive to hold a bubble...

We relate models based on costs of switching beliefs (e.g. due to inattention) to hypothesis tests. Specifically, for an inference problem with a penalty for mistakes and for switching the inferred value, a band of inaction is optimal. We show this band is equivalent to a confidence interval,...

Coibion and Gorodnichenko (2015) provide a useful framework to test the null hypothesis of full-information rational expectations against two popular classes of information rigidities, sticky information (SI) and noisy information (NI). However, the observational equivalence of SI and NI in...

This paper describes a fiscal database for Australia including measures of government spending, revenue, deficits, debt and various sub-aggregates as initially published and subsequently revised. The data vintages are collated from various sources and provide a comprehensive description of the...

The paper describes how to measure the fiscal multiplier using budget statements on planned government spending in the current and following years alongside the data on actual outcomes. The multiplier effects can be decomposed to distinguish the effects of ‘policy reactions' versus ‘policy...

Attempts by governments to stop bubbles by issuing warnings seem unsuccessful. This paper examines the effects of public warnings using a simple model of riding bubbles. We show that public warnings against a bubble can stop it if investors believe that a warning is issued in a definite range of...

This paper evaluates how initial beliefs uncertainty can affect data weighting and the estimation of models with adaptive learning. One key finding is that misspecification of initial beliefs uncertainty, particularly with the common approach of artificially inflating initials uncertainty to...