Abstract
‘Modern’ theories of the Phillips curve inadvertently imply that inflation is an integrated or near integrated process but this implication is strongly rejected using United States data. Alternatively, if we assume that inflation is a stationary process around a shifting mean (due to changes in monetary policy) then any estimate of long-run relationships in the data will suffer from a ‘small-sample’ problem as there are too few stationary inflation ‘regimes’. Using the extensive literature on identification of structural breaks we identify inflation regimes which are used in turn to estimate with panel data techniques the United States long-run Phillips curve.
| Original language | English |
|---|---|
| Pages (from-to) | 1455-1475 |
| Number of pages | 21 |
| Journal | Empirical Economics |
| Volume | 56 |
| Issue number | 5 |
| Early online date | 9 Jan 2018 |
| DOIs | |
| Publication status | Published - 15 May 2019 |
Keywords
- Inflation
- Non-stationary data
- Phillips curve
- Structural breaks
ASJC Scopus subject areas
- Statistics and Probability
- Mathematics (miscellaneous)
- Social Sciences (miscellaneous)
- Economics, Econometrics and Finance(all)
- Economics and Econometrics
- Finance
