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GME Estimation of Spatial Structural Equations Models

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  • Rosa Bernardini Papalia
  • Enrico Ciavolino

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  • Rosa Bernardini Papalia & Enrico Ciavolino, 2011. "GME Estimation of Spatial Structural Equations Models," Journal of Classification, Springer;The Classification Society, vol. 28(1), pages 126-141, April.
    • Handle: RePEc:spr:jclass:v:28:y:2011:i:1:p:126-141
    DOI: 10.1007/s00357-011-9073-0
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    References listed on IDEAS

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    1. E. Ciavolino & J. J. Dahlgaard, 2009. "Simultaneous Equation Model based on the generalized maximum entropy for studying the effect of management factors on enterprise performance," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 801-815.
    2. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    3. Golan, Amos, 2007. "Information and entropy econometrics - volume overview and synthesis," Journal of Econometrics, Elsevier, vol. 138(2), pages 379-387, June.
    4. Henry G. Overman & Diego Puga, 2002. "Unemployment clusters across Europe's regions and countries [‘Regional evolutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 17(34), pages 115-148.
    5. Amjad D. Al-Nasser, 2005. "Customer Satisfaction Measurement Models: Generalised Maximum Entropy Approach," Econometrics 0503013, University Library of Munich, Germany.
    6. Eleonora Patacchini & Yves Zenou, 2007. "Spatial dependence in local unemployment rates," Journal of Economic Geography, Oxford University Press, vol. 7(2), pages 169-191, March.
    7. Enrico Ciavolino & Amjad Al-Nasser, 2009. "Comparing generalised maximum entropy and partial least squares methods for structural equation models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(8), pages 1017-1036.
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    Cited by:

    1. Rosa Bernardini Papalia & Enrico Ciavolino, 2015. "Developing a composite index by using spatial latent modelling based on information theoretic estimation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 989-997, May.
    2. Vidoli, Francesco & Pignataro, Giacomo & Benedetti, Roberto, 2022. "Identification of spatial regimes of the production function of Italian hospitals through spatially constrained cluster-wise regression," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    3. Enrico Ciavolino & Antonio Calcagnì, 2014. "A generalized maximum entropy (GME) approach for crisp-input/fuzzy-output regression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3401-3414, November.

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    GME estimation of S-SEM;

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