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Working Paper
Easy Bootstrap-Like Estimation of Asymptotic Variances
Hu, Luojia; Honore, Bo E. (2018-06-29)
The bootstrap is a convenient tool for calculating standard errors of the parameter estimates of complicated econometric models. Unfortunately, the bootstrap can be very time-consuming. In a recent paper, Honor and Hu (2017), we propose a ?Poor (Wo)man's Bootstrap? based on one-dimensional estimators. In this paper, we propose a modified, simpler method and illustrate its potential for estimating asymptotic variances.
Working Paper Series , Paper WP-2018-11

Working Paper
A Composite Likelihood Approach for Dynamic Structural Models
Matthes, Christian; Canova, Fabio (2018-07-23)
We describe how to use the composite likelihood to ameliorate estimation, computational, and inferential problems in dynamic stochastic general equilibrium models. We present a number of situations where the methodology has the potential to resolve well-known problems. In each case we consider, we provide an example to illustrate how the approach works and its properties in practice.
Working Paper , Paper 18-12

Report
RBC Methodology and the Development of Aggregate Economic Theory
Prescott, Edward C. (2016-02-08)
This essay reviews the development of neoclassical growth theory, a unified theory of aggregate economic phenomena that was first used to study business cycles and aggregate labor supply. Subsequently, the theory has been used to understand asset pricing, growth miracles and disasters, monetary economics, capital accounts, aggregate public finance, economic development, and foreign direct investment. {{p}} The focus of this essay is on real business cycle (RBC) methodology. Those who employ the discipline behind the methodology to address various quantitative questions come up with ...
Staff Report , Paper 527

Working Paper
Manufacturing Sentiment: Forecasting Industrial Production with Text Analysis
Cajner, Tomaz; Crane, Leland D.; Kurz, Christopher J.; Morin, Norman J.; Soto, Paul E.; Vrankovich, Betsy (2024-05-03)
This paper examines the link between industrial production and the sentiment expressed in natural language survey responses from U.S. manufacturing firms. We compare several natural language processing (NLP) techniques for classifying sentiment, ranging from dictionary-based methods to modern deep learning methods. Using a manually labeled sample as ground truth, we find that deep learning models partially trained on a human-labeled sample of our data outperform other methods for classifying the sentiment of survey responses. Further, we capitalize on the panel nature of the data to train ...
Finance and Economics Discussion Series , Paper 2024-026

Working Paper
Poor (Wo)man’s Bootstrap
Hu, Luojia; Honore, Bo E. (2015-03-04)
The bootstrap is a convenient tool for calculating standard errors of the parameters of complicated econometric models. Unfortunately, the fact that these models are complicated often makes the bootstrap extremely slow or even practically infeasible. This paper proposes an alternative to the bootstrap that relies only on the estimation of one-dimensional parameters. The paper contains no new difficult math. But we believe that it can be useful.
Working Paper Series , Paper WP-2015-1

Journal Article
Is the Phillips Curve Still Alive?
Wen, Yi; Reinbold, Brian (2020-05)
A.W. Phillips's discovery that inflation is negatively correlated with unemployment served as a heuristic model for conducting monetary policy; but the flattening of the Phillips curve post-1970 has divided debate on this empirical relation into two camps: "The Phillips curve is alive and well," and "The Phillips curve is dead." However, this dichotomy oversimplifies the issue.
Review , Volume 102 , Issue 2 , Pages 121-144

Working Paper
Selection Without Exclusion
Hu, Luojia; Honore, Bo E. (2018-07-02)
It is well understood that classical sample selection models are not semiparametrically identified without exclusion restrictions. Lee (2009) developed bounds for the parameters in a model that nests the semiparametric sample selection model. These bounds can be wide. In this paper, we investigate bounds that impose the full structure of a sample selection model with errors that are independent of the explanatory variables but have unknown distribution. We find that the additional structure in the classical sample selection model can significantly reduce the identified set for the parameters ...
Working Paper Series , Paper WP-2018-10

Journal Article
Lockdown Responses to COVID-19
Gutkowski, Violeta A. (2021-04-15)
This article describes the relationship between countries' lockdown responses to the COVID-19 pandemic and those countries' political rights and civil liberties, macroeconomic variables, and vulnerability to the virus. Political rights and civil liberties cannot explain the differences in lockdown timing across countries. Countries with high contagion exposure due to weak water sanitation and weak health systems locked down their economies as fast as possible to reduce contagion. However, countries more vulnerable to COVID-19 due to large fractions of elderly and smokers in the population did ...
Review , Volume 103 , Issue 2 , Pages 127-151

Working Paper
Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area
Ferroni, Filippo; Andrade, Philippe (2018-07-26)
We use financial intraday data to identify monetary policy surprises in the euro area. We find that monetary policy statements and press conferences after European Central Bank (ECB) Governing Council meetings convey information that moves the yield curve far out. Moreover, the nature of the information revealed in a narrow window around these statements and press conferences evolved over time. Until 2013, unexpected variations in future interest rates were positively correlated with the changes in market-based measure of inflation expectations consistent with news on future macroeconomic ...
Working Paper Series , Paper WP-2018-12

Working Paper
A Local Projections Approach to Difference-in-Differences Event Studies
Jordà, Òscar; Girardi, Daniele; Dube, Arindrajit; Taylor, Alan M. (2023-04-20)
Many of the challenges in the estimation of dynamic heterogeneous treatment effects can be resolved with local projection (LP) estimators of the sort used in applied macroeconometrics. This approach provides a convenient alternative to the more complicated solutions proposed in the recent literature on Difference in-Differences (DiD). The key is to combine LPs with a flexible ‘clean control’ condition to define appropriate sets of treated and control units. Our proposed LP-DiD estimator is clear, simple, easy and fast to compute, and it is transparent and flexible in its handling of ...
Working Paper Series , Paper 2023-12

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