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Macroeconomic forecasting and structural change (replication data)
The aim of this paper is to assess whether modeling structural change can help improving the accuracy of macroeconomic forecasts. We conduct a simulated real-time out-of-sample... -
Stochastic monotonicity in intergenerational mobility tables (replication data)
The aim of this paper is to test for stochastic monotonicity in intergenerational socio-economic mobility tables. In other words, we question whether having a parent from a high... -
Dynamics of worker flows and vacancies: evidence from the sign restriction ap...
This paper establishes robust dynamic features of the worker reallocation process in the US labor market. I use structural VARs with sign restrictions, which take the form of... -
Mixed logit models: accuracy and software choice (replication data)
This dataset has no description
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Large Bayesian vector auto regressions (replication data)
This paper shows that vector auto regression (VAR) with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results of De Mol and co-workers... -
Random Recursive Partitioning: a matching method for the estimation of the av...
In this paper we introduce the Random Recursive Partitioning (RRP) matching method. RRP generates a proximity matrix which might be useful in econometric applications like... -
Does the option market produce superior forecasts of noise-corrected volatili...
This paper assesses the robustness of the relative performance of spot? and options-based volatility forecasts to the treatment of microstructure noise. Robustness of the... -
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...
