Price Level Convergence, Purchasing Power Parity and Multiple Structural Breaks in Panel Data Analysis: An Application to U.S. Cities
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Syed A. Basher
This article provides a methodological and empirical approach for assessing price level convergence and its relation to purchasing power parity (PPP) using annual price data for seventeen U.S. cities during the period 1918 to 2005. We suggest a new panel data procedure that can handle a wide range of PPP concepts in the presence of multiple structural breaks using all possible pairs of real exchange rates. Testing for PPP requires the definition of parametric restrictions (parity restrictions) across regimes. In general, we find more evidence for stationarity when the parity restriction is not imposed, while imposing parity restriction leads toward the rejection of the panel stationarity. Our results can be embedded in the view of the Balassa-Samuelson approach, but where the slope of the time trend is allowed to change in the long-run.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
Artikel in diesem Heft
- Article
- Statistical Fourier Analysis: Clarifications and Interpretations
- Asymptotics of the QMLE for Non-Linear ARCH Models
- Price Level Convergence, Purchasing Power Parity and Multiple Structural Breaks in Panel Data Analysis: An Application to U.S. Cities
- Selecting Instrumental Variables in a Data Rich Environment
- The KPSS Test Using Fixed-b Critical Values: Size and Power in Highly Autocorrelated Time Series
Artikel in diesem Heft
- Article
- Statistical Fourier Analysis: Clarifications and Interpretations
- Asymptotics of the QMLE for Non-Linear ARCH Models
- Price Level Convergence, Purchasing Power Parity and Multiple Structural Breaks in Panel Data Analysis: An Application to U.S. Cities
- Selecting Instrumental Variables in a Data Rich Environment
- The KPSS Test Using Fixed-b Critical Values: Size and Power in Highly Autocorrelated Time Series
