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Volumn 99, Issue 4, 2009, Pages 1672-1675

Gibrat's law for (All) cities: Comment

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EID: 74949099844     PISSN: 00028282     EISSN: None     Source Type: Journal    
DOI: 10.1257/aer.99.4.1672     Document Type: Note
Times cited : (130)

References (18)
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    • (2000) Physica A: Statistical Mechanics and its Applications , vol.287 , Issue.2 , pp. 279-288
    • Blank, A.1    Solomon, S.2
  • 6
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    • Ninth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)
    • Downey, Allen B. 2001. "The Structural Causes of File Size Distributions." Ninth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS).
    • (2001) The Structural Causes of File Size Distributions
    • Downey, A.B.1
  • 7
    • 0000393036 scopus 로고    scopus 로고
    • Cities and growth: Theory and evidence from France and Japan
    • Eaton, Jonathan, and Zvi Eckstein. 1997. "Cities and Growth: Theory and Evidence from France and Japan." Regional Science and Urban Economics, 27(4-5): 443-474
    • (1997) Regional Science and Urban Economics , vol.27 , Issue.4-5 , pp. 443-474
    • Eaton, J.1    Eckstein, Z.2
  • 8
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    • Gibrat's law for (All) cities
    • Eeckhout, Jan. 2004. "Gibrat's Law for (All) Cities." American Economic Review, 94(5): 1429-1451
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    • Eeckhout, J.1
  • 9
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    • Zipf's law for cities: An explanation
    • Gabaix, Xavier. 1999. "Zipf's Law for Cities: An Explanation." Quarterly Journal of Economics, 114(3): 739-767
    • (1999) Quarterly Journal of Economics , vol.114 , Issue.3 , pp. 739-767
    • Gabaix, X.1
  • 13
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    • Are rich people smarter?
    • Levy, Moshe. 2003. "Are Rich People Smarter?" Journal of Economic Theory, 110(1): 42-64.
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    • Levy, M.1
  • 14
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    • Brief history of generative models for power law and lognormal distributions
    • Mitzenmacher, Michael. 2004. "Brief History of Generative Models for Power Law and Lognormal Distributions." Internet Mathematics, 1(2): 226-251
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    • Mitzenmacher, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.