White Papers
Econometric and Statistical Data Mining, Prediction and Policy-Making
Category: Data Management, Professions and Industries
Tags: data
Overview How to formulate models that work well in explanation, prediction and policy-making is a central problem in all fields of science. This paper explains the strategy, Structural Econometric Modeling, Times Series Analysis (SEMTSA) approach that the author's colleagues and he have employed in their efforts to produce a macroeconomic model that works well in point and turning point forecasting, explanation and policy-making. Data relating to 18 industrialized countries over the years, taken from the IMF-IFS data base have been employed in estimation and forecasting tests of the models using fixed and time varying parameter models, Bayesian posterior odds, model combining or averaging, shrinkage, and Bayesian method of moments procedures.
- Publisher
- University of Chicago
- File Format
- Date Published
- Oct 1, 2008
- Format
- White Papers
- Topics
- Economic Modeling, Data Mining - Analysis
University of Chicago White Papers
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