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Marco Fattore

Personal Details

First Name:Marco
Middle Name:
Last Name:Fattore
Suffix:
RePEc Short-ID:pfa128

Affiliation

Dipartimento di Statistica e Metodi Quantitativi (DISMEQ)
Università degli Studi di Milano-Bicocca

Milano, Italy
https://www.dismeq.unimib.it/
RePEc:edi:dsmibit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Paola Annoni & Marco Fattore & Rainer Brüggemann, 2008. "A multi-criteria fuzzy approach for analyzing poverty structure," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1072, Universitá degli Studi di Milano.
    repec:mis:wpaper:20071104 is not listed on IDEAS
    repec:mis:wpaper:20070101 is not listed on IDEAS
    repec:mis:wpaper:20071103 is not listed on IDEAS
    repec:mis:wpaper:20061101 is not listed on IDEAS
    repec:mis:wpaper:20070601 is not listed on IDEAS

Articles

  1. Falbo, Paolo & Fattore, Marco & Stefani, Silvana, 2010. "A new index for electricity spot markets," Energy Policy, Elsevier, vol. 38(6), pages 2739-2750, June.
  2. Fattore, Marco, 2010. "Axiomatic properties of geo-logarithmic price indices," Journal of Econometrics, Elsevier, vol. 156(2), pages 344-353, June.
  3. Vittadini, Giorgio & Minotti, Simona C. & Fattore, Marco & Lovaglio, Pietro G., 2007. "On the relationships among latent variables and residuals in PLS path modeling: The formative-reflective scheme," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5828-5846, August.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Paola Annoni & Marco Fattore & Rainer Brüggemann, 2008. "A multi-criteria fuzzy approach for analyzing poverty structure," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1072, Universitá degli Studi di Milano.

    Cited by:

    1. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.
    2. Arcagni, Alberto & Cavalli, Laura & Fattore, Marco, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," FEEM Working Papers 309036, Fondazione Eni Enrico Mattei (FEEM).
    3. Alberto Arcagni & Elisa Barbiano di Belgiojoso & Marco Fattore & Stefania M. L. Rimoldi, 2019. "Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy, Using Partially Ordered Sets and Self-Organizing Maps," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 551-579, January.
    4. Iñaki Permanyer & M. Azhar Hussain, 2018. "First Order Dominance Techniques and Multidimensional Poverty Indices: An Empirical Comparison of Different Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 867-893, June.
    5. Lars Carlsen & Rainer Bruggemann, 2021. "Inequalities in the European Union—A Partial Order Analysis of the Main Indicators," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    6. Rainer Bruggemann & Lars Carlsen, 2015. "Incomparable: what now II? Absorption of incomparabilities by a cluster method," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1633-1645, July.
    7. Marco Fattore & Alberto Arcagni, 2019. "F-FOD: Fuzzy First Order Dominance Analysis and Populations Ranking Over Ordinal Multi-Indicator Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 1-29, July.
    8. Marco Fattore, 2016. "Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 835-858, September.
    9. Frauke Fuhrmann & Margit Scholl & Rainer Bruggemann, 2018. "How Can the Empowerment of Employees with Intellectual Disabilities Be Supported?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1269-1285, April.

Articles

  1. Falbo, Paolo & Fattore, Marco & Stefani, Silvana, 2010. "A new index for electricity spot markets," Energy Policy, Elsevier, vol. 38(6), pages 2739-2750, June.

    Cited by:

    1. Đurišić, Željko & Mikulović, Jovan & Babić, Iva, 2012. "Impact of wind speed variations on wind farm economy in the open market conditions," Renewable Energy, Elsevier, vol. 46(C), pages 289-296.
    2. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo de Valor Público 17618, Universidad EAFIT.
    3. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).

  2. Fattore, Marco, 2010. "Axiomatic properties of geo-logarithmic price indices," Journal of Econometrics, Elsevier, vol. 156(2), pages 344-353, June.

    Cited by:

    1. Abe, Naohito & Rao, D.S. Prasada, 2019. "Multilateral Sato–Vartia index for international comparisons of prices and real expenditures," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
    2. Białek Jacek, 2019. "Remarks on Geo-Logarithmic Price Indices," Journal of Official Statistics, Sciendo, vol. 35(2), pages 287-317, June.
    3. Zhang Li-Chun & Johansen Ingvild & Nygaard Ragnhild, 2019. "Tests for Price Indices in a Dynamic Item Universe," Journal of Official Statistics, Sciendo, vol. 35(3), pages 683-697, September.
    4. Gholamreza Hajargasht, 2022. "Reliability of Ideal Indexes," Papers 2210.13684, arXiv.org.
    5. Falbo, Paolo & Fattore, Marco & Stefani, Silvana, 2010. "A new index for electricity spot markets," Energy Policy, Elsevier, vol. 38(6), pages 2739-2750, June.
    6. Li-Chun Zhang & Ingvild Johansen & Ragnhild Nygaard, 2018. "Tests for price indices in a dynamic item universe," Papers 1808.08995, arXiv.org, revised Oct 2018.

  3. Vittadini, Giorgio & Minotti, Simona C. & Fattore, Marco & Lovaglio, Pietro G., 2007. "On the relationships among latent variables and residuals in PLS path modeling: The formative-reflective scheme," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5828-5846, August.

    Cited by:

    1. Marcel Clermont & Frank Baumgärtner & Alexander Dirksen, 2017. "Analyse der Einflussfaktoren auf die Forschungsreputation betriebswirtschaftlicher Fachbereiche in Deutschland [Analysis of Influencing Factors on the Research Reputation of Business Schools in Ger," Schmalenbach Journal of Business Research, Springer, vol. 69(3), pages 345-379, September.
    2. Fattore, Marco & Pelagatti, Matteo & Vittadini, Giorgio, 2018. "A least squares approach to latent variables extraction in formative–reflective models," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 84-97.
    3. Ned Kock, 2015. "PLS-based SEM Algorithms: The Good Neighbor Assumption, Collinearity, and Nonlinearity," Information Management and Business Review, AMH International, vol. 7(2), pages 113-130.
    4. Pasquale Dolce & Vincenzo Esposito Vinzi & Natale Carlo Lauro, 2018. "Non-symmetrical composite-based path modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 759-784, September.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2006-05-27
  2. NEP-ETS: Econometric Time Series (1) 2006-05-27
  3. NEP-MAC: Macroeconomics (1) 2006-05-27

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