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Using OLS to Estimate and Test for Structural Changes in Models with Endogeno...
We consider the problem of estimating and testing for multiple breaks in a single-equation framework with regressors that are endogenous, i.e. correlated with the errors. We... -
A Theoretical Foundation for the Nelson-Siegel Class of Yield Curve Models (r...
Yield curve models within the popular Nelson-Siegel class are shown to arise from formal low-order Taylor approximations of the generic Gaussian affine term structure model.... -
Bayesian VARs: Specification Choices and Forecast Accuracy (replication data)
In this paper we discuss how the point and density forecasting performance of Bayesian vector autoregressions (BVARs) is affected by a number of specification choices. We adopt... -
Relative Risk Aversion and Power-Law Distribution of Macroeconomic Disasters ...
The coefficient of relative risk aversion is notoriously difficult to estimate. Recently, Barro and Jin (On the size distribution of macroeconomic disasters, Econometrica 2011;... -
Cointegration in Panel Data with Structural Breaks and Cross-Section Dependen...
The power of standard panel cointegration statistics may be affected by misspecification errors if structural breaks in the parameters generating the process are not considered.... -
Econometric Regime Shifts and the US Subprime Bubble (replication data)
Using aggregate quarterly data for the period 1975:Q1-2010:Q4, I find that the US housing market changed from a stable regime with prices determined by fundamentals, to a highly... -
IDENTIFICATION ISSUES IN LIMITED‐INFORMATION BAYESIAN ANALYSIS OF STRUCTURAL ...
The likelihood of the parameters in structural macroeconomic models typically has non-identification regions over which it is constant. When sufficiently diffuse priors are... -
SEQUENTIAL MONTE CARLO SAMPLING FOR DSGE MODELS (replication data)
We develop a sequential Monte Carlo (SMC) algorithm for estimating Bayesian dynamic stochastic general equilibrium (DSGE) models; wherein a particle approximation to the... -
MIXED‐FREQUENCY STRUCTURAL MODELS: IDENTIFICATION, ESTIMATION, AND POLICY ANA...
The mismatch between the timescale of DSGE (dynamic stochastic general equilibrium) models and the data used in their estimation translates into identification problems,... -
RARE SHOCKS, GREAT RECESSIONS (replication data)
We estimate a DSGE (dynamic stochastic general equilibrium) model where rare large shocks can occur, by replacing the commonly used Gaussian assumption with a Student's... -
CHOOSING THE VARIABLES TO ESTIMATE SINGULAR DSGE MODELS (replication data)
We propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables... -
PRACTICAL TOOLS FOR POLICY ANALYSIS IN DSGE MODELS WITH MISSING SHOCKS (repli...
In this paper we analyze the propagation of shocks originating in sectors that are not present in a baseline dynamic stochastic general equilibrium (DSGE) model. Specifically,... -
ESTIMATING FISCAL LIMITS: THE CASE OF GREECE (replication data)
This paper uses Bayesian methods to estimate a real business cycle model that allows for interactions among fiscal policy instruments, the stochastic fiscal limit and sovereign... -
SALES, INVENTORIES AND REAL INTEREST RATES: A CENTURY OF STYLIZED FACTS (repl...
We use Bayesian time-varying parameter structural vector autoregressions with stochastic volatility to investigate changes in reduced-form and structural correlations between... -
POSTERIOR‐PREDICTIVE EVIDENCE ON US INFLATION USING EXTENDED NEW KEYNESIAN PH...
Changing time series properties of US inflation and economic activity, measured as marginal costs, are modeled within a set of extended New Keynesian Phillips curve (NKPC)... -
RETURN TO EXPERIENCE AND INITIAL WAGE LEVEL: DO LOW WAGE WORKERS CATCH UP? (r...
This paper estimates the relationship between initial wage and return to experience. We use a Mincer-like wage model to non-parametrically estimate this relationship allowing... -
CHILD MENTAL HEALTH AND EDUCATIONAL ATTAINMENT: MULTIPLE OBSERVERS AND THE ME...
We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental... -
DOES CORESIDENCE IMPROVE AN ELDERLY PARENT'S HEALTH? (replication data)
It is generally believed that intergenerational coresidence by elderly parents and adult children provides old-age security for parents. Although such coresidence is still the... -
IDENTIFYING CAUSAL MECHANISMS (PRIMARILY) BASED ON INVERSE PROBABILITY WEIGHT...
This paper demonstrates the identification of causal mechanisms of a binary treatment under selection on observables, (primarily) based on inverse probability weighting; i.e. we... -
SMOOTH QUANTILE-BASED MODELING OF BRAND SALES, PRICE AND PROMOTIONAL EFFECTS ...
Semiparametric quantile regression is employed to flexibly estimate sales response for frequently purchased consumer goods. Using retail store-level data, we compare the...
