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GMM estimation of a maximum entropy distribution with interval data

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  • Wu, Ximing
  • Perloff, Jeffrey M.

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  • Wu, Ximing & Perloff, Jeffrey M., 2007. "GMM estimation of a maximum entropy distribution with interval data," Journal of Econometrics, Elsevier, vol. 138(2), pages 532-546, June.
    • Handle: RePEc:eee:econom:v:138:y:2007:i:2:p:532-546
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    Cited by:

    1. Ms. Camelia Minoiu & Sanjay Reddy, 2008. "Kernel Density Estimation Based on Grouped Data: The Case of Poverty Assessment," IMF Working Papers 2008/183, International Monetary Fund.
    2. Ximing Wu & Thanasis Stengos, 2005. "Partially adaptive estimation via the maximum entropy densities," Econometrics Journal, Royal Economic Society, vol. 8(3), pages 352-366, December.
    3. Gholamreza Hajargasht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2012. "Inference for Income Distributions Using Grouped Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 563-575, May.
    4. Lee, Jongchul, 2013. "A provincial perspective on income inequality in urban China and the role of property and business income," China Economic Review, Elsevier, vol. 26(C), pages 140-150.
    5. Yiguo Sun & Thanasis Stengos, 2008. "The absolute health income hypothesis revisited: a semiparametric quantile regression approach," Empirical Economics, Springer, vol. 35(2), pages 395-412, September.
    6. Jin, Hailong & Qian, Hang & Wang, Tong & Choi, E. Kwan, 2014. "Income distribution in urban China: An overlooked data inconsistency issue," China Economic Review, Elsevier, vol. 30(C), pages 383-396.
    7. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    8. Shatakshee Dhongde & Camelia Minoiu, 2010. "Global poverty estimates: Present and future," Working Papers 181, ECINEQ, Society for the Study of Economic Inequality.
    9. Hatice Çiçek & Sinan Saraçlı, 2015. "Performance Of Shannon's Maximum Entropy Distribution Under Some Restrictions: An Application On Turkey's Annual Temperatures," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(1), pages 7-14, June.
    10. Camelia Minoiu & Sanjay Reddy, 2014. "Kernel density estimation on grouped data: the case of poverty assessment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 163-189, June.
    11. Sugasawa, Shonosuke & Kobayashi, Genya & Kawakubo, Yuki, 2020. "Estimation and inference for area-wise spatial income distributions from grouped data," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
    12. Gholamreza Hajargsht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2011. "GMM Estimation of Income Distributions from Grouped Data," Department of Economics - Working Papers Series 1129, The University of Melbourne.
    13. Ba Chu & Stephen Satchell, 2016. "Recovering the Most Entropic Copulas from Preliminary Knowledge of Dependence," Econometrics, MDPI, vol. 4(2), pages 1-21, March.
    14. Joe L. Parcell & Jason R.V. Franken & Maria Cox & David J. Patterson & Richard F. Randle, 2010. "Buyers’ perceptions of importance and willingness‐to‐pay for certain attributes of source and production verified bred heifers," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 463-470, September.
    15. Griffin, Ronald C. & Mjelde, James W., 2011. "Distributing water's bounty," Ecological Economics, Elsevier, vol. 72(C), pages 116-128.

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