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Correcting for Primary Study Misspecifications in Meta-Analysis

Koetse, Mark J.; Florax, Raymond J.G.M.; de Groot, … - 2005

effects of error propagation on the bias and mean squarederror of the meta-estimator, and the size and the power of …

Persistent link: https://www.econbiz.de/10010325362

The Impact of Effect Size Heterogeneity on Meta-Analysis: A Monte Carlo Experiment

Koetse, Mark J.; Florax, Raymond J.G.M.; de Groot, … - 2007

-systematic impact of omitted variable bias in primary studies. Our results show that the mixed effects estimator is to be preferred to … non-systematic impact of omitted variable bias, using the mixed effects estimator may be suboptimal. We also address the …

Persistent link: https://www.econbiz.de/10010325529

Instrumental Variables, Errors in Variables, and Simultaneous Equations Models: Applicability and Limitations of Direct Monte Carlo

Zellner, Arnold; Ando, Tomohiro; Basturk, Nalan; … - 2011

A Direct Monte Carlo (DMC) approach is introduced for posterior simulation in theInstrumental Variables (IV) model with one possibly endogenous regressor, multipleinstruments and Gaussian errors under a flat prior. This DMC method can also beapplied in an IV model (with one or multiple...

Persistent link: https://www.econbiz.de/10010326547

A Monte Carlo Comparison between the Free Cash Flow and Discounted Cash Flow Approaches

Akalu, Mehari Mekonnen; Turner, Rodney - 2002

One of the debates in the capital budgeting model selection is between the free cash flow and DCF methods. In this paper an attempt is made to compare SVA against NPV model based on Monte Carlo simulations. Accordingly, NPV is found less sensitive to value driver variations and has got higher...

Persistent link: https://www.econbiz.de/10010324971