Access the full text.
Sign up today, get DeepDyve free for 14 days.
J. Westerlund (2006)
Testing for Error Correction in Panel DataERN: Simulation Methods (Topic)
J. Frenkel (1978)
Purchasing Power Parity: Doctrinal Perspective and Evidence from the 1920s
L. Gutierrez (2003)
On the power of panel cointegration tests: A Monte Carlo comparison. Economics Letters, 80(1):105-111Econometrics
G. Maddala, Shaowen Wu (1999)
A Comparative Study of Unit Root Tests with Panel Data and a New Simple TestOxford Bulletin of Economics and Statistics, 61
Margarita Genius, V. Tzouvelekas (2008)
The Balassa-Samuelson Productivity Bias Hypothesis: Further Evidence Using Panel DataAgricultural Economics Review, 9
A. Andersson, Pär * (2005)
Forecasting real exchange rate trends using age structure data – the case of SwedenApplied Economics Letters, 12
Mohsen Bahmani‐Oskooee (1992)
A Time‐Series Approach to Test the Productivity Bias Hypothesis in Purchasing Power ParityKyklos, 45
I. Fisher, W. Barber (1956)
The theory of interestThe Economic Journal, 41
M. Bahmani-Oskooee, Ilir Miteza (2004)
Panel cointegration and productivity bias hypothesisJournal of Economic Studies, 31
S. Johansen, K. Juselius (2009)
MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEYOxford Bulletin of Economics and Statistics, 52
P. Pedroni (2001)
Fully modified OLS for heterogeneous cointegrated panels, 15
R. Dornbusch, P. Krugman (1976)
Flexible Exchange Rates in the Short Run, 7
P. Pedroni (1999)
Approximate Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors
Charles Adams, B. Chadha (1991)
Real and Nominal Exchange Rates in the Long RunCapital Markets: Market Efficiency
Lucio Sarno, Mark Taylor (2002)
Recent developments in the economics of exchange rates
Rolf Larsson, J. Lyhagen, M. Löthgren (2001)
Likelihood-Based Cointegration Tests in Heterogeneous PanelsEconometrics Journal, 4
M. Obstfeld, Kenneth Rogoff, The Si, Major Puzzles
Chapter Title: the Six Major Puzzles in International Macroeconomics: Is There a Common Cause? International Macroeconomics: I S There a Common Cause?
M. Obstfeld, Kenneth Rogoff (1997)
Foundations of International Macroeconomics
Mark Taylor (1988)
An empirical examination of long-run purchasing power parity using cointegration techniquesApplied Economics, 20
J. Lothian, Mark Taylor (2008)
Real Exchange Rates Over the Past Two Centuries: How Important is the Harrod-Balassa-Samuelson Effect?Wiley-Blackwell: Economic Journal
C. Kao (1996)
Spurious Regression and Residual-Based Tests for Cointegration in Panel Data When the Cross-Section and Time-Series Dimensions are ComparableEconometrics
T. Vogelsang (2001)
Unit Roots, Cointegration, and Structural ChangeJournal of the American Statistical Association, 96
B. Baltagi, G. Bresson, A. Pirotte (2006)
Panel Unit Root Tests and Spatial Dependence
J. Gregorio, A. Giovannini (1994)
International Evidence on Tradables and Nontradables InflationEuropean Economic Review, 38
B. Balassa (1964)
The Purchasing-Power Parity Doctrine: A ReappraisalJournal of Political Economy, 72
Ruhul Salim, Kamrul Hassan (2009)
Does the relative population growth affect purchasing power parity?Applied Economics Letters, 16
P. Minford (1983)
Labour Market Equilibrium in an Open Economy, 35
R. Engle, C. Granger (1987)
Co-integration and error correction: representation, estimation and testingEconometrica, 55
Nicholas Sarantis (1981)
Employment, labor supply and real wages in market disequilibriumJournal of Macroeconomics, 3
S. Johansen (1991)
Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive ModelsEconometrica, 59
Huseyin Kalyoncu, K. Kalyoncu (2008)
Purchasing power parity in OECD countries: Evidence from panel unit rootEconomic Modelling, 25
K. Im, M. Pesaran, Y. Shin (2003)
Testing for unit roots in heterogeneous panelsJournal of Econometrics, 115
P. Pedroni (2001)
Purchasing Power Parity Tests in Cointegrated PanelsReview of Economics and Statistics, 83
Yangru Wu (1996)
Are Real Exchange Rates Nonstationary? Evidence from a Panel-Data TestJournal of Money, Credit and Banking, 28
M. Pesaran (2004)
General diagnostic tests for cross-sectional dependence in panelsEmpirical Economics, 60
Andrew Levin, C. Lin, C. Chu (2002)
Unit root tests in panel data: asymptotic and finite-sample propertiesJournal of Econometrics, 108
P. Samuelson (1964)
Theoretical Notes on Trade ProblemsThe Review of Economics and Statistics, 46
(2005)
How an aging population can explain the real appreciation of the Yen/US Dollar?; CEDERS
Jyh‐Lin Wu, Pei‐Fen Chen (2008)
A revisit on dissecting the PPP puzzle: Evidence from a nonlinear approachEconomic Modelling, 25
A. Banerjee (1999)
Panel data unit roots and cointegration: an overview Oxford Bulletin of Economics & Statistics 61
Caroline Betts, M. Devereux (1996)
The exchange rate in a model of pricing-to-marketEuropean Economic Review, 40
P. Phillips (1991)
Optimal Inference in Cointegrated SystemsEconometrica, 59
P. Pedroni (2004)
PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESISEconometric Theory, 20
P. Krugman (1986)
Pricing to Market When the Exchange Rate ChangesInternational Trade
(2005)
How an aging population can explain the real appreciation of the Yen / US Dollar ?
I. Drine, C. Rault (2003)
Do panel data permit the rescue of the Balassa-Samuelson hypothesis for Latin American countries?Applied Economics, 35
C. Engel (1998)
Exchange Rates and Prices
S. Johansen (1996)
Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
Relative population growth affects relative prices through the so-called Balassa–Samuelson (BS) mechanism and that in turn impacts PPP. This paper empirically investigates the relationship between the PPP exchange rate and relative population growth in a panel of 80 selected countries. Following the BS hypothesis, this paper argues that relative population growth affects nominal wages that impact price levels and thereby impacts PPP. Using panel cointegration and fully modified ordinary least square (FMOLS), the empirical results show that there is a stable relationship between PPP exchange rate and relative population growth in the long run. These empirical findings suggest that population growth have an important role in exchange rate determination through PPP.
The Singapore Economic Review – World Scientific Publishing Company
Published: Mar 1, 2013
Keywords: Balassa–Samuelson hypothesis purchasing power parity population growth panel cointegration
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.