Econometric Analysis and Prediction of Recurrent Events
Adrian Pagan () and
CREATES Research Papers from Department of Economics and Business Economics, Aarhus University
Economic events such as expansions and recessions in economic activity, bull and bear markets in stock prices and financial crises have long attracted substantial interest. In recent times there has been a focus upon predicting the events and constructing Early Warning Systems of them. Econometric analysis of such recurrent events is however in its infancy. One can represent the events as a set of binary indicators. However they are different to the binary random variables studied in micro-econometrics, being constructed from some (possibly) continuous data. The lecture discusses what difference this makes to their econometric analysis. It sets out a framework which deals with how the binary variables are constructed, what an appropriate estimation procedure would be, and the implications for the prediction of them. An example based on Turkish business cycles is used throughout the lecture.
Keywords: Business and Financial Cycles; Binary Time Series; BBQ Algorithm (search for similar items in EconPapers)
JEL-codes: C22 E32 E37 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-for
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Working Paper: Econometric Analysis and Prediction of Recurrent Events (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:aah:create:2011-33
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