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Comparing predictive accuracy in small samples using fixedâsmoothing asymptot...
We consider fixed-smoothing asymptotics for the Diebold and Mariano (Journal of Business and Economic Statistics, 1995, 13(3), 253-263) test of predictive accuracy. We show that... -
A robust approach to estimating production functions: Replication of the ACF ...
We study Ackerberg, Caves, and Frazer's (Econometrica, 2015, 83, 2411-2451; hereafter ACF) production function estimation method using Monte Carlo simulations. First, we... -
Out-of-Sample Return Predictability: A Quantile Combination Approach (replica...
This paper develops a novel forecasting method that minimizes the effects of weak predictors and estimation errors on the accuracy of equity premium forecasts. The proposed... -
The Zero Lower Bound and Parameter Bias in an Estimated DSGE Model (replicati...
This paper examines how and to what extent parameter estimates can be biased in a dynamic stochastic general equilibrium (DSGE) model that omits the zero lower bound (ZLB)... -
MULTIPLE TESTING AND HETEROGENEOUS TREATMENT EFFECTS: RE-EVALUATING THE EFFEC...
The effect of a program or treatment may vary according to observed characteristics. In such a setting, it may not only be of interest to determine whether the program or... -
SPATIAL COMPETITION WITH CHANGING MARKET INSTITUTIONS (replication data)
Competition across space can be fundamentally altered by changes in market institutions. We propose a framework that integrates market-altering policy changes in the spatial... -
Forecast comparisons in unstable environments (replication data)
We propose new methods for comparing the out-of-sample forecasting performance of two competing models in the presence of possible instabilities. The main idea is to develop a... -
What do we learn from the price of crude oil futures? (replication data)
Despite their widespread use as predictors of the spot price of oil, oil futures prices tend to be less accurate in the mean-squared prediction error sense than no-change... -
On portfolio optimization: How and when do we benefit from high-frequency dat...
We examine how the use of high-frequency data impacts the portfolio optimization decision. Prior research has documented that an estimate of realized volatility is more precise...
