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Granger Causality and Regime Inference in Markov Switching VAR Models with Ba...
In this paper, we derive restrictions for Granger noncausality in MS-VAR models and show under what conditions a variable does not affect the forecast of the hidden Markov... -
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... -
Small-sample bias in synthetic cohort models of labor supply (replication data)
This paper investigates small-sample biases in synthetic cohort models (repeated cross-sectional data grouped at the cohort and year level) in the context of a female labor... -
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... -
Subsampling hypothesis tests for nonstationary panels with applications to ex...
This paper studies subsampling hypothesis tests for panel data that may be nonstationary, cross-sectionally correlated, and cross-sectionally cointegrated. The subsampling... -
Intergenerational mobility and sample selection in short panels (replication ...
Using data from the first 11 waves of the BHPS, this paper measures the extent of the selection bias induced by standard coresidence conditions-bias that is expected to be... -
Wealth dynamics: reducing noise in panel data (replication data)
Although the asset data from the Health and Retirement Study (HRS) is of very high quality, there is sufficient noise to frustrate attempts to study saving behaviour by... -
Measuring welfare effects in models with random coefficients (replication data)
In economic research, it is often important to express the marginal value of a variable in monetary terms. In random coefficient models, this marginal monetary value is the... -
Small sample properties of LIML and jackknife IV estimators: experiments with...
Using Monte Carlo simulations we study the small sample performance of the traditional TSLS, the LIML and four new jackknife IV estimators when the instruments are weak. We find...
