Some causal lessons from macroeconomics
Abstract
Some of the well-posed causal aspects from macroeconomics were discussed. The causal
lessons were supported by the vector-autoregression (VAR) framework of macroeconomics
which was analogous to the panel-data approach. The analysis of causality in a VAR
framework carried important lessons for the panel-studies. The results show that the
direct and indirect linkages among the health indicators and the counterfactual simulations
were sensitive to the omission of a contemporaneous link from wealth to health.
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https://hdl.handle.net/10161/1904Published Version (Please cite this version)
10.1016/S0304-4076(02)00154-9Publication Info
(2003). Some causal lessons from macroeconomics. Journal of Econometrics, 112(1). pp. 121-125. 10.1016/S0304-4076(02)00154-9. Retrieved from https://hdl.handle.net/10161/1904.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Kevin Douglas Hoover
Professor of Economics
Professor Hoover's research interests include macroeconomics, monetary economics,
the history of economics, and the philosophy and methodology of empirical economics.
His recent work in economics has focused on the application of causal search methodologies
for structural vector autoregression, the history of microfoundational programs in
macroeconomics, and Roy Harrod's early work on dynamic macroeconomics. In philosophy,
he has concentrated on issues related to causality, especially in economi
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