Faculty Member Information
David Bessler |
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About Dr. Bessler:
Algorithms for inductive inference on causal structures and the generation and evaluation of probabilistic forecast of observational economic data are centers of his research efforts. He teaches graduate courses in research methodology and inductive inference on causal structures. His undergraduate teaching is on quantitative methods.
Selected Publications:
Kwon, Dae-Heum and D.A. Bessler, 2011. Graphical Methods, Inductive Causal Inference, and
Econometrics: A Literature Review, Computational Economics (forthcoming).
Bessler, D.A., J.H. Dorfman, M.T. Holt, and J.T. LaFrance, 2010. Econometric Developments in Agricultural and Resource Economics: The First 100 Years, American Journal of Agricultural Economics 92(2):571-89.
Bryant, H.L. D.A. Bessler, M.S. Haigh, 2009. Disproving Causal Relationships Using Observational Data, Oxford Bulletin of Economics and Statistics 71(3):357-374.
Casillas-Olvera, G.and D.A. Bessler, 2006. Probability Forecasting and Central Bank Accountability, Journal of Policy Modeling 28:223-234.
Wang, Z. and D.A. Bessler, 2005. A Monte Carlo Study on the Selection of Cointegrating Rank Using Information Criteria, Econometric Theory 21:593-620.
Bessler, D. A. and J. Yang, 2003. The Structure of Interdependence of International Stock Markets, Journal of International Money and Finance 22: 261-287.
