CORDIS Project
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This project explores new methods for identifying causal relationships in macroeconomics, particularly under conditions of limited data variation. It focuses on the implications of nominal interest rates and develops econometric techniques to improve causal inference.
Macroeconomic data are largely non-experimental.
Thus, causal inference in macroeconomics is largely based on assumptions about what aspects of the variation in the data are exogenous.
This presents two major challenges, which this research addresses directly.
First, few such assumptions are generally accepted.
Second, conditional on any set of assumptions, identification of causal effects is often weak because there is little relevant variation in the data.
To tackle these challenges, I propose…
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
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