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Author:Gonzalez-Astudillo, Manuel 

Working Paper
Identifying the Stance of Monetary Policy at the Zero Lower Bound: A Markov-switching Estimation Exploiting Monetary-Fiscal Policy Interdependence

In this paper, I propose an econometric technique to estimate a Markov-switching Taylor rule subject to the zero lower bound of interest rates. I show that incorporating a Tobit-like specification allows to obtain consistent estimators. More importantly, I show that linking the switching of the Taylor rule coefficients to the switching of the coefficients of an auxiliary uncensored Markov-switching regression improves the identification of an otherwise unidentifiable prevalent monetary regime. To illustrate the proposed estimation technique, I use U.S. quarterly data spanning 1960:1-2013:4. ...
Finance and Economics Discussion Series , Paper 2014-97

Working Paper
A Nowcasting Model for the Growth Rate of Real GDP of Ecuador : Implementing a Time-Varying Intercept

This paper proposes a model to nowcast the annual growth rate of real GDP for Ecuador. The specification combines monthly information of 28 macroeconomic variables with quarterly information of real GDP in a mixed-frequency approach. Additionally, our setup includes a time-varying mean coefficient on the annual growth rate of real GDP to allow the model to incorporate prolonged periods of low growth, such as those experienced during secular stagnation episodes. The model produces reasonably good nowcasts of real GDP growth in pseudo out-of-sample exercises and is marginally more precise than ...
Finance and Economics Discussion Series , Paper 2018-044

Working Paper
Monetary-fiscal policy interactions: interdependent policy rule coefficients

In this paper, we formulate and solve a New Keynesian model with monetary and fiscal policy rules whose coefficients are time-varying and interdependent. We implement time variation in the policy rules by specifying coefficients that are logistic functions of correlated latent factors and propose a solution method that allows for these characteristics. The paper uses Bayesian methods to estimate the policy rules with time-varying coefficients, endogeneity, and stochastic volatility in a limited-information framework. Results show that monetary policy switches regime more frequently than ...
Finance and Economics Discussion Series , Paper 2013-58

Working Paper
An Output Gap Measure for the Euro Area : Exploiting Country-Level and Cross-Sectional Data Heterogeneity

This paper proposes a methodology to estimate the euro-area output gap by taking advantage of two types of data heterogeneity. On the one hand, the method uses information on real GDP, inflation, and the unemployment rate for each member state; on the other hand, it jointly considers this information for all the euro-area countries to extract an area-wide output gap measure. The setup is an unobserved components model that theorizes a common cycle across euro-area economies in addition to country-specific cyclical components. I estimate the model with Bayesian methods using data for the 19 ...
Finance and Economics Discussion Series , Paper 2018-040

Working Paper
GDP Trend-cycle Decompositions Using State-level Data

This paper develops a method for decomposing GDP into trend and cycle exploiting the cross-sectional variation of state-level real GDP and unemployment rate data. The model assumes that there are common output and unemployment rate trend and cycle components, and that each state?s output and unemployment rate are subject to idiosyncratic trend and cycle perturbations. The model is estimated with Bayesian methods using quarterly data from 2005:Q1 to 2016:Q1 for the 50 states and the District of Columbia. Results show that the U.S. output gap reached about -8% during the Great Recession and is ...
Finance and Economics Discussion Series , Paper 2017-051

Working Paper
When Can Trend-Cycle Decompositions Be Trusted?

In this paper, we examine the results of GDP trend-cycle decompositions from the estimation of bivariate unobserved components models that allow for correlated trend and cycle innovations. Three competing variables are considered in the bivariate setup along with GDP: the unemployment rate, the inflation rate, and gross domestic income. We find that the unemployment rate is the best variable to accompany GDP in the bivariate setup to obtain accurate estimates of its trend-cycle correlation coefficient and the cycle. We show that the key feature of unemployment that allows for precise ...
Finance and Economics Discussion Series , Paper 2016-099

Working Paper
Estimates of r* Consistent with a Supply-Side Structure and a Monetary Policy Rule for the U.S. Economy

We estimate the natural rate of interest (r*) using a semi-structural model of the U.S. economy that jointly characterizes the trend and cyclical factors of key macroeconomic variables such as output, the unemployment rate, inflation, and short- and long-term interest rates. We specify a monetary policy rule and an equation that characterizes the 10-year Treasury yield to exploit the information provided by both interest rates to infer r*. However, the use of a monetary policy rule with a sample that spans the Great Recession and its aftermath poses a challenge because of the effective lower ...
Finance and Economics Discussion Series , Paper 2020-085

Discussion Paper
A New Procedure for Generating the Stochastic Simulations in FRB/US

This note summarizes a new procedure for generating stochastic simulations in FRB/US, a large-scale estimated general equilibrium macroeconomic model of the U.S. economy, which has been in use at the Federal Reserve Board since 1996. In the first part of this note, we contrast some features of the original stochastic simulations procedure with those of the data. In the second part, we offer an alternative to the original procedure that fits the data better along core dimensions of interest.
FEDS Notes , Paper 2019-03-07


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