Spurious Zipf's Law
AbstractThis paper shows that the acceptance of the Zipf's Law may sometimes be the result of a spurious artifact. By way of some Monte Carlo exercises we provide evidence in favour of the fact that the Zipf's law can be spuriously accepted when the variable being studied is generated by a random distribution. This result is explained by taking account the, so-called, spurious detrending problem.
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- Jonathan Eaton & Zvi Eckstein, 1994.
"Cities and Growth: Theory and Evidence from france and Japan,"
Boston University - Institute for Economic Development
36, Boston University, Institute for Economic Development.
- Eaton, Jonathan & Eckstein, Zvi, 1997. "Cities and growth: Theory and evidence from France and Japan," Regional Science and Urban Economics, Elsevier, vol. 27(4-5), pages 443-474, August.
- Jonathan Eaton & Zvi Eckstein, 1994. "Cities and Growth: Theory and Evidence from France and Japan," NBER Working Papers 4612, National Bureau of Economic Research, Inc.
- Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
- Ramsden, J.J. & Kiss-Haypál, Gy., 2000. "Company size distribution in different countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 277(1), pages 220-227.
- Steven N. Durlauf & Peter C.B. Phillips, 1986.
"Trends Versus Random Walks in Time Series Analysis,"
Cowles Foundation Discussion Papers
788, Cowles Foundation for Research in Economics, Yale University.
- Durlauf, Steven N & Phillips, Peter C B, 1988. "Trends versus Random Walks in Time Series Analysis," Econometrica, Econometric Society, vol. 56(6), pages 1333-54, November.
- Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
- Ioannides, Yannis M. & Overman, Henry G., 2003.
"Zipf's law for cities: an empirical examination,"
Regional Science and Urban Economics,
Elsevier, vol. 33(2), pages 127-137, March.
- Ioannides, Yannis Menelaos & Overman, Henry G., 2003. "Zipf’s law for cities : an empirical examination," Open Access publications from London School of Economics and Political Science http://eprints.lse.ac.uk/, London School of Economics and Political Science.
- Y Ioannides & Henry Overman, 2000. "Zipfs Law for Cities: An Empirical Examination," CEP Discussion Papers dp0484, Centre for Economic Performance, LSE.
- Phillips, P.C.B., 1986.
"Understanding spurious regressions in econometrics,"
Journal of Econometrics,
Elsevier, vol. 33(3), pages 311-340, December.
- Peter C.B. Phillips, 1985. "Understanding Spurious Regressions in Econometrics," Cowles Foundation Discussion Papers 757, Cowles Foundation for Research in Economics, Yale University.
- Xavier Gabaix, 1999. "Zipf'S Law For Cities: An Explanation," The Quarterly Journal of Economics, MIT Press, vol. 114(3), pages 739-767, August.
- Alperovich, Gershon, 1989. "The distribution of city size: A sensitivity analysis," Journal of Urban Economics, Elsevier, vol. 25(1), pages 93-102, January.
- Ng, S. & Perron, P., 1994.
"Unit Root Tests ARMA Models with Data Dependent Methods for the Selection of the Truncation Lag,"
Cahiers de recherche
9423, Universite de Montreal, Departement de sciences economiques.
- Ng, S. & Perron, P., 1994. "Unit Root Tests ARMA Models with Data Dependent Methods for the Selection of the Truncation Lag," Cahiers de recherche 9423, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Xavier Gabaix, 1999. "Zipf's Law and the Growth of Cities," American Economic Review, American Economic Association, vol. 89(2), pages 129-132, May.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
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