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Structural FECM: Cointegration in large‐scale structural FAVAR models (replic...
Starting from the dynamic factor model for nonstationary data we derive the factor-augmented error correction model (FECM) and its moving-average representation. The latter is... -
Anchoring the yield curve using survey expectations (replication data)
The dynamic behavior of the term structure of interest rates is difficult to replicate with models, and even models with a proven track record of empirical performance have... -
Are price equations really money demand equations on their heads? (replicatio...
This dataset has no description
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Asymptotic theory and econometric practice (replication data)
The classical paradigm of asymptotic theory employed in econometrics presumes that model dimensionality, p, is fixed as sample size, n, tends to inifinity. Is this a plausible... -
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... -
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,... -
A comprehensive look at financial volatility prediction by economic variables...
We investigate whether return volatility is predictable by macroeconomic and financial variables to shed light on the economic drivers of financial volatility. Our approach is... -
International evidence on the efficacy of new‐Keynesian models of inflation p...
We take an agnostic view of the Phillips curve debate, and carry out an empirical investigation of the relative and absolute efficacy of Calvo sticky price (SP), sticky... -
Compensatory inter vivos gifts (replication data)
Parents' transfer motives are important for understanding, e.g., macroeconomics, income (re)distribution, savings, and public finance. Using data from six biennial waves of the... -
Jointness of growth determinants (replication data)
This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model... -
Assessing the credibility of instrumental variables inference with imperfect ...
Consistent instrumental variables (IV) estimation requires instruments uncorrelated with model errors, but this assumption is usually both suspect and untestable. Here the... -
Are risk-averse agents more optimistic? A Bayesian estimation approach (repli...
Our aim is to analyze the link between optimism and risk aversion in a subjective expected utility setting and to estimate the average level of optimism when weighted by risk... -
Rotterdam model versus almost ideal demand system: will the best specificatio...
The Rotterdam model and the Almost Ideal Demand System (AIDS) are often applied in consumer demand systems modeling. Using Monte Carlo techniques, we determine which model... -
The estimation of utility-consistent labor supply models by means of simulate...
We consider a utility-consistent static labor supply model with flexible preferences and a nonlinear and possibly non-convex budget set. Stochastic error terms are introduced to... -
The performance of heteroskedasticity and autocorrelation robust tests: a Mon...
This paper illustrates the pitfalls of the conventional heteroskedasticity and autocorrelation robust (HAR) Wald test and the advantages of new HAR tests developed by Kiefer and... -
Semi-structural models of advertising competition (replication data)
We propose a semi-structural discrete-choice model that can be used to estimate static or dynamic decision rules. It is particularly useful in strategic contexts when games... -
Identification of parameters in normal error component logit-mixture (NECLM) ...
Although the basic structure of logit-mixture models is well understood, important identification and normalization issues often get overlooked. This paper addresses issues... -
Bayesian inference for the gravity model (replication data)
This paper seeks to empirically extend the gravity model, which has been widely used to analyze volumes of trade between pairs of countries. We generalize the basic threshold... -
Nonparametric estimation of concave production technologies by entropic metho...
An econometric methodology is developed for nonparametric estimation of concave production technologies. The methodology, based on the principle of maximum likelihood, uses... -
Finite sample evidence of IV estimators under weak instruments (replication d...
We present finite sample evidence on different IV estimators available for linear models under weak instruments; explore the application of the bootstrap as a bias reduction...
