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Marzia Freo

Personal Details

First Name:Marzia
Middle Name:
Last Name:Freo
Suffix:
RePEc Short-ID:pfr150

Affiliation

Dipartimento di Scienze Statistiche "Paolo Fortunati"
Alma Mater Studiorum - Università di Bologna

Bologna, Italy
http://www.stat.unibo.it/
RePEc:edi:dsbolit (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Sergio, Brasini & Marzia, Freo & Giorgio, Tassinari, 2008. "An analysis of the role of liking on the memorial response to advertising," MPRA Paper 12342, University Library of Munich, Germany.

Articles

  1. Maria Rosaria Ferrante & Marzia Freo, 2012. "The Total Factor Productivity Gap between Internationalised and Domestic Firms: Net Premium or Heterogeneity Effect?," The World Economy, Wiley Blackwell, vol. 35(9), pages 1186-1214, September.
  2. S. Brasini & M. Freo, 2012. "The impact of information and communication technologies: an insight at micro-level on one Italian region," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(2), pages 107-123, January.
  3. Antonio Fabio Di Narzo & Marzia Freo & Marco Maria Mattei, 2012. "Un nuovo approccio statistico per l?individuazione delle manipolazioni degli utili: evidenze empiriche dal mercato italiano," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2012(1), pages 7-43.
  4. Marzia Freo & Andrea Guizzardi & Giorgio Tassinari, 2011. "Vertical Disintegration of Machinery Firms in Emilia-Romagna," L'industria, Società editrice il Mulino, issue 4, pages 677-692.
  5. Sergio Brasini & Marzia Freo & Giorgio Tassinari, 2011. "The effect of liking on the memorial response to advertising: the case of small cars," Statistica, Department of Statistics, University of Bologna, vol. 71(2), pages 295-303.
  6. Marzia Freo, 2010. "Which economic analysis is really enabled by district maps in Italy?," Statistica, Department of Statistics, University of Bologna, vol. 70(1), pages 53-72.
  7. Cristina Bernini & Marzia Freo & Attilio Gardini, 2004. "Quantile estimation of frontier production function," Empirical Economics, Springer, vol. 29(2), pages 373-381, May.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Maria Rosaria Ferrante & Marzia Freo, 2012. "The Total Factor Productivity Gap between Internationalised and Domestic Firms: Net Premium or Heterogeneity Effect?," The World Economy, Wiley Blackwell, vol. 35(9), pages 1186-1214, September.

    Cited by:

    1. Maria Rosaria Ferrante & Marco Novelli, 2013. "Heterogeneity and Number of Export Destinations of Italian Firms: A Hurdle Negative Binomial Regression Approach," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 13(03n04), pages 391-416, December.
    2. Fernanda Ricotta, 2016. "Productivity Differences By Export Destination," Working Papers 201601, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.

  2. S. Brasini & M. Freo, 2012. "The impact of information and communication technologies: an insight at micro-level on one Italian region," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(2), pages 107-123, January.

    Cited by:

    1. Fındık, Derya & Tansel, Aysit, 2013. "Intangible investment and technical efficiency: The case of software-intensive manufacturing firms in Turkey," MPRA Paper 66165, University Library of Munich, Germany, revised 05 Aug 2014.
    2. Sepehr Ghazinoory & Amir Khorasani & Ali Asghar Anvari Rostamy & Ghazaleh Taheriattar & Mona Rashidirad, 2016. "Performance appraisals of ICT companies in the Tehran stock market: contradiction with the global trend," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 29(1), pages 529-544, January.

  3. Cristina Bernini & Marzia Freo & Attilio Gardini, 2004. "Quantile estimation of frontier production function," Empirical Economics, Springer, vol. 29(2), pages 373-381, May.

    Cited by:

    1. Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
    2. Mototsugu Fukushige & Yingxin Shi, 2022. "Quantile regression approach for measuring production inefficiency with empirical application to the primary production sector for the Xinjiang Production and Construction Corps in China," Asia-Pacific Journal of Regional Science, Springer, vol. 6(2), pages 777-805, June.
    3. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    4. Mohammed, Sadick & Abdulai, Awudu, 2021. "Extension Participation and Improved Technology Adoption: Impact on Efficiency and Welfare of Farmers in Ghana," 2021 Conference, August 17-31, 2021, Virtual 315362, International Association of Agricultural Economists.
    5. Chunping Liu & Audrey Laporte & Brian S. Ferguson, 2008. "The quantile regression approach to efficiency measurement: insights from Monte Carlo simulations," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1073-1087, September.
    6. Cristina Bernini & Andrea Guizzardi, 2010. "Internal and Locational Factors Affecting Hotel Industry Efficiency: Evidence from Italian Business Corporations," Tourism Economics, , vol. 16(4), pages 883-913, December.
    7. Behr, Andreas, 2010. "Quantile regression for robust bank efficiency score estimation," European Journal of Operational Research, Elsevier, vol. 200(2), pages 568-581, January.
    8. Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
    9. Besstremyannaya, Galina & Dasher, Richard & Golovan, Sergei, 2022. "Quantifying heterogeneity in the relationship between R&D intensity and growth at innovative Japanese firms: A quantile regression approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 27-45.
    10. Wang, Yongqiao & Wang, Shouyang & Dang, Chuangyin & Ge, Wenxiu, 2014. "Nonparametric quantile frontier estimation under shape restriction," European Journal of Operational Research, Elsevier, vol. 232(3), pages 671-678.
    11. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    12. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, New Economic School (NES).
    13. Zeebari, Zangin & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2021. "Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market," Ratio Working Papers 345, The Ratio Institute.
    14. Antonio Vezzani & Sandro Montresor, 2013. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," JRC Working Papers on Corporate R&D and Innovation 2013-02, Joint Research Centre.
    15. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, Center for Economic and Financial Research (CEFIR).
    16. Besstremyannaya, Galina, 2017. "Heterogeneous effect of the global financial crisis and the Great East Japan Earthquake on costs of Japanese banks," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 66-89.
    17. Galina Besstremyannaya, 2015. "Heterogeneous effect of residency matching and prospective payment on labor returns and hospital scale economies," Discussion Papers 15-001, Stanford Institute for Economic Policy Research.
    18. Hung-pin Lai & Cliff J. Huang & Tsu-Tan Fu, 2020. "Estimation of the production profile and metafrontier technology gap: a quantile approach," Empirical Economics, Springer, vol. 58(6), pages 2709-2731, June.
    19. Mamatzakis, E & Koutsomanoli-Filippaki, Anastasia & Pasiouras, Fotios, 2012. "A quantile regression approach to bank efficiency measurement," MPRA Paper 51879, University Library of Munich, Germany.
    20. E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.
    21. Zhang, Ning & Huang, Xuhui & Liu, Yunxiao, 2021. "The cost of low-carbon transition for China's coal-fired power plants: A quantile frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    22. Monje, Juan Cabas & Sidhoum, Amer Ait & Gil, Jose M., 2021. "Investigating Technical Efficiency of Spanish Pig Farming: A Quantile Regression Approach," 2021 Conference, August 17-31, 2021, Virtual 315196, International Association of Agricultural Economists.

More information

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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-MKT: Marketing (1) 2009-01-03

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