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A Meta-Analysis of the Investment-Uncertainty Relationship

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Author Info

  • Mark J. Koetse

    () (VU University Amsterdam, Department of Spatial Economics, De Boelelaan 1105, 1081 HV, Amsterdam, the Netherlands)

  • Henri L.F. de Groot

    () (VU University Amsterdam and Tinbergen Institute, Department of Spatial Economics, De Boelelaan 1105, 1081 HV, Amsterdam, the Netherlands)

  • Raymond J.G.M. Florax

    () (Purdue University, Department of Agricultural Economics, 403 West State Street, West Lafayette, IN 47907, USA, and VU University Amsterdam, Department of Spatial Economics)

Abstract

In this article we use meta-analysis to investigate the investment-uncertainty relationship. We focus on the direction and statistical significance of empirical estimates. Specifically, we estimate an ordered probit model and transform the estimated coefficients into marginal effects to reflect the changes in the probability of finding a significantly negative estimate, an insignificant estimate, or a significantly positive estimate. Exploratory data analysis shows that there is little empirical evidence for a positive relationship. The regression results suggest that the source of uncertainty, the level of data aggregation, the underlying model specification, and differences between short- and long-run effects are important sources of variation in study outcomes. These findings are, by and large, robust to the introduction of a trend variable to capture publication trends in the literature. The probability of finding a significantly negative relationship is higher in more recently published studies.

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Bibliographic Info

Article provided by Southern Economic Association in its journal Southern Economic Journal.

Volume (Year): 76 (2009)
Issue (Month): 1 (July)
Pages: 283-306

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Handle: RePEc:sej:ancoec:v:76:1:y:2009:p:283-306

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Web page: http://www.southerneconomic.org/
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Cited by:
  1. Joachim Wagner, 2010. "From estimation results to stylized facts. Twelve recommendations for empirical research in international activities of heterogeneous firms," Working Paper Series in Economics 186, University of Lüneburg, Institute of Economics.
  2. Mark Koetse & Raymond Florax & Henri Groot, 2010. "Consequences of effect size heterogeneity for meta-analysis: a Monte Carlo study," Statistical Methods and Applications, Springer, vol. 19(2), pages 217-236, June.

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