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25 results

Strategic Interaction among Heterogeneous Price-Setters in an Estimated DSGE Model

The Review of Economics and Statistics 2011 93(3), 920-940
We consider a dynamic stochastic general equilibrium model (DSGE) in which firms follow one of four price‐setting regimes: sticky prices, sticky information, rule of thumb, or full‐information flexible prices. The parameters of the model, including the fraction of each type of firm, are estimated by matching the moments of the observed variables of the model to those found in the data. We find that sticky price firms and sticky information firms jointly account for over 80% of firms in the model. We compare the performance of our hybrid model to pure sticky price and sticky information models along various dimensions, including monetary policy implications.

The Formation of Expectations, Inflation, and the Phillips Curve

Journal of Economic Literature 2018 56(4), 1447-1491
This paper argues for a careful (re)consideration of the expectations formation process and a more systematic inclusion of real-time expectations through survey data in macroeconomic analyses. While the rational expectations revolution has allowed for great leaps in macroeconomic modeling, the surveyed empirical microevidence appears increasingly at odds with the full-information rational expectation assumption. We explore models of expectation formation that can potentially explain why and how survey data deviate from full-information rational expectations. Using the New Keynesian Phillips curve as an extensive case study, we demonstrate how incorporating survey data on inflation expectations can address a number of otherwise puzzling shortcomings that arise under the assumption of full-information rational expectations. (JEL D04, E24, E27, E31, E37)

Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts

American Economic Review 2015 105(8), 2644-2678
We propose a new approach to test the full-information rational expectations hypothesis which can identify whether rejections of the null arise from information rigidities. This approach quantifies the economic significance of departures from the null and the underlying degree of information rigidity. Applying this approach to US and international data of professional forecasters and other agents yields pervasive evidence consistent with the presence of information rigidities. These results therefore provide a set of stylized facts which can be used to calibrate imperfect information models. Finally, we document evidence of state-dependence in the expectations formation process. (JEL C53, D83, D84, E13, E31, E37)

Monetary Policy, Trend Inflation, and the Great Moderation: An Alternative Interpretation

American Economic Review 2011 101(1), 341-370
With positive trend inflation, the Taylor principle does not guarantee a determinate equilibrium. We provide new theoretical results on determinacy in New Keynesian models with positive trend inflation and new empirical findings on the Federal Reserve's reaction function before and after the Volcker disinflation to find that, (i) while the Fed likely satisfied the Taylor principle before Volcker, the US economy was still subject to self-fulfilling fluctuations in the 1970s, (ii) the US economy switched to determinacy during the Volcker disinflation, and (iii) the switch reflected changes in the Fed's response to macroeconomic variables and the decline in trend inflation. (JEL E12, E23, E31, E32, E52)

What Can Survey Forecasts Tell Us about Information Rigidities?

Journal of Political Economy 2012 120(1), 116-159
A lot. We derive common and conflicting predictions from models in which agents face information constraints and then assess their validity using surveys of consumers, firms, central bankers, and professional forecasters. We document that mean forecasts fail to completely adjust on impact to shocks, leading to statistically and economically significant deviations from the null of full information. The dynamics of forecast errors after shocks are consistent with the predictions of models with information rigidities. The conditional responses of forecast errors and disagreement among agents can also be used to differentiate between some of the most prominent models of information rigidities.

Output Spillovers from Fiscal Policy

American Economic Review 2013 103(3), 141-146
For a large number of OECD countries we estimate the cross-country spillover effects of government purchases on output. Following the methodology in Auerbach and Gorodnichenko (2012a, b), we allow these multipliers to vary smoothly according to the state of the economy and use real-time forecast data to purge policy innovations of their predictable components. Our findings suggest that cross-country spillovers have an important impact. The findings also confirm those of our earlier papers--namely that fiscal shocks have a larger impact when the affected country is in recession.

Inflation Expectations and Firm Decisions: New Causal Evidence*

Quarterly Journal of Economics 2020 135(1), 165-219 open access
Abstract We use a unique design feature of a survey of Italian firms to study the causal effect of inflation expectations on firms’ economic decisions. In the survey, a randomly chosen subset of firms is repeatedly treated with information about recent inflation whereas other firms are not. This information treatment generates exogenous variation in inflation expectations. We find that higher inflation expectations on the part of firms leads them to raise their prices, increase demand for credit, and reduce their employment and capital. However, when policy rates are constrained by the effective lower bound, demand effects are stronger, leading firms to raise their prices more and no longer reduce their employment.

The Effect of Macroeconomic Uncertainty on Firm Decisions

Econometrica 2023 91(4), 1297-1332 open access
Using a new survey of firms in New Zealand, we document how exogenous variation in the macroeconomic uncertainty perceived by firms affects their economic decisions. We use randomized information treatments that provide different types of information about the first and/or second moments of future economic growth to generate exogenous changes in the perceived macroeconomic uncertainty of some firms. The effects on their decisions relative to their initial plans as well as relative to an untreated control group are measured in a follow‐up survey six months later. We find that as firms become more uncertain, they reduce their prices, employment, and investment, their sales decline, and they become less likely to invest in new technologies or open new facilities. These ex post effects of uncertainty are similar to how firms say they would respond to higher uncertainty when asked hypothetical questions.

How Do Firms Form Their Expectations? New Survey Evidence

American Economic Review 2018 108(9), 2671-2713
We survey New Zealand firms and document novel facts about their macroeconomic beliefs. There is widespread dispersion in beliefs about past and future macroeconomic conditions, especially inflation. This dispersion in beliefs is consistent with firms’ incentives to collect and process information. Using experimental methods, we find that firms update their beliefs in a Bayesian manner when presented with new information about the economy and that changes in their beliefs affect their decisions. Inflation is not generally perceived as being important to business decisions so firms devote few resources to collecting and processing information about inflation. (JEL D22, D83, D84, E31, E52)

Do You Know that I Know that You Know…? Higher-Order Beliefs in Survey Data

Quarterly Journal of Economics 2021 136(3), 1387-1446 open access
Abstract We implement a new survey of firms, focusing on their higher-order macroeconomic expectations. The survey provides a novel set of stylized facts regarding the relationship between first-order and higher-order expectations of economic agents, including how they adjust their beliefs in response to a variety of information treatments. We show how these facts can be used to calibrate key parameters of noisy-information models with infinite regress as well as to test predictions made by this class of models. We also consider a range of extensions to the basic noisy-information model that can potentially better reconcile theory and empirics. Although some extensions like level-k thinking are unsuccessful, incorporating heterogeneous long-run priors can address the empirical shortcomings of the basic noisy-information model.