IDEAS home Printed from https://ideas.repec.org/f/pdi538.html
   My authors  Follow this author

F. Marta L. Di Lascio

Personal Details

First Name:F. Marta L.
Middle Name:
Last Name:Di Lascio
Suffix:
RePEc Short-ID:pdi538
[This author has chosen not to make the email address public]
https://www.unibz.it/it/faculties/economics-management/academic-staff/person/32845

Affiliation

Facoltà di Economia / Wirtschaftswissenschaftliche Fakutät
Libera Università di Bolzano / Freie Universität Bozen

Bozen-Bolzano, Italy
http://www.unibz.it/economics/
RePEc:edi:feubzit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. F. Marta L. Di Lascio & Andrea Menapace & Maurizio Righetti, 2020. "Analysing the relationship between district heating demand and weather conditions through conditional mixture copula," BEMPS - Bozen Economics & Management Paper Series BEMPS68, Faculty of Economics and Management at the Free University of Bozen.
  2. F. Marta L. Di Lascio & Andrea Menapace & Maurizio Righetti, 2018. "Joint and conditional dependence modeling of peak district heating demand and outdoor temperature: a copula-based approach," BEMPS - Bozen Economics & Management Paper Series BEMPS53, Faculty of Economics and Management at the Free University of Bozen.
  3. Silvia Gardini & F. Marta L. Di Lascio & Franco Visani, 2017. "Opportunism in disclosing pro-forma indicators: rationale and contextual drivers," BEMPS - Bozen Economics & Management Paper Series BEMPS42, Faculty of Economics and Management at the Free University of Bozen.
  4. Franco Visani & F. Marta L. Di Lascio & Silvia Gardini, 2017. "The impact of institutional and cultural factors on the use ofnon-GAAP financial measures. International evidence fromthe oil and gas industry," BEMPS - Bozen Economics & Management Paper Series BEMPS41, Faculty of Economics and Management at the Free University of Bozen.
  5. F. Marta L. Di Lascio & Marta Disegna, 2016. "A copula-based clustering algorithm to analyse EU country diets," BAFES Working Papers BAFES04, Department of Accounting, Finance & Economic, Bournemouth University.
  6. F. Marta L. Di Lascio & Simone Giannerini, 2015. "Clustering dependent observations with copula functions," BEMPS - Bozen Economics & Management Paper Series BEMPS32, Faculty of Economics and Management at the Free University of Bozen.

Articles

  1. Fuchs, Sebastian & Di Lascio, F. Marta L. & Durante, Fabrizio, 2021. "Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables," Computational Statistics & Data Analysis, Elsevier, vol. 159(C).
  2. Visani, Franco & Di Lascio, F. Marta L. & Gardini, Silvia, 2020. "The impact of institutional and cultural factors on the use of non-GAAP financial measures. International evidence from the oil and gas industry," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 40(C).
  3. F. Marta L. Di Lascio & Andrea Menapace & Maurizio Righetti, 2020. "Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(2), pages 373-395, June.
  4. F. Marta L. Di Lascio & Andrea Menapace & Maurizio Righetti, 2020. "Correction to: Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(2), pages 397-397, June.
  5. F. Marta L. Lascio & Simone Giannerini, 2019. "Clustering dependent observations with copula functions," Statistical Papers, Springer, vol. 60(1), pages 35-51, February.
  6. Di Lascio, F. Marta L. & Giammusso, Davide & Puccetti, Giovanni, 2018. "A clustering approach and a rule of thumb for risk aggregation," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 236-248.
  7. Visani, Franco & Barbieri, Paolo & Di Lascio, F. Marta L. & Raffoni, Anna & Vigo, Daniele, 2016. "Supplier’s total cost of ownership evaluation: a data envelopment analysis approach," Omega, Elsevier, vol. 61(C), pages 141-154.
  8. F. Di Lascio & Simone Giannerini & Alessandra Reale, 2015. "Exploring copulas for the imputation of complex dependent data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(1), pages 159-175, March.
  9. Alberto Roverato & F. Marta L. Di Lascio, 2011. "Wilks' Λ Dissimilarity Measures for Gene Clustering: An Approach Based on the Identification of Transcription Modules," Biometrics, The International Biometric Society, vol. 67(4), pages 1236-1248, December.
  10. F. Di Lascio & Simone Giannerini & Antonello Scorcu & Guido Candela, 2011. "Cultural tourism and temporary art exhibitions in Italy: a panel data analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 519-542, November.

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. F. Marta L. Di Lascio & Simone Giannerini, 2015. "Clustering dependent observations with copula functions," BEMPS - Bozen Economics & Management Paper Series BEMPS32, Faculty of Economics and Management at the Free University of Bozen.

    Cited by:

    1. Fuchs, Sebastian & Di Lascio, F. Marta L. & Durante, Fabrizio, 2021. "Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables," Computational Statistics & Data Analysis, Elsevier, vol. 159(C).

Articles

  1. F. Marta L. Lascio & Simone Giannerini, 2019. "Clustering dependent observations with copula functions," Statistical Papers, Springer, vol. 60(1), pages 35-51, February.
    See citations under working paper version above.
  2. Visani, Franco & Barbieri, Paolo & Di Lascio, F. Marta L. & Raffoni, Anna & Vigo, Daniele, 2016. "Supplier’s total cost of ownership evaluation: a data envelopment analysis approach," Omega, Elsevier, vol. 61(C), pages 141-154.

    Cited by:

    1. Dobos, Imre & Vörösmarty, Gyöngyi, 2019. "Inventory-related costs in green supplier selection problems with Data Envelopment Analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 209(C), pages 374-380.
    2. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    3. A. Azadeh & R. Siadatian & M. Rezaei-Malek & F. Rouhollah, 2017. "Optimization of supplier selection problem by combined customer trust and resilience engineering under uncertainty," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1553-1566, November.
    4. Schöll, Michaela, 2017. "Three Essays on Sustainable Supply Chain Management – Towards Sustainable Supplier Selection and Sustainable Sourcing," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 172463.
    5. Alikhani, Reza & Torabi, S. Ali & Altay, Nezih, 2019. "Strategic supplier selection under sustainability and risk criteria," International Journal of Production Economics, Elsevier, vol. 208(C), pages 69-82.
    6. Somayeh Soheilirad & Kannan Govindan & Abbas Mardani & Edmundas Kazimieras Zavadskas & Mehrbakhsh Nilashi & Norhayati Zakuan, 2018. "Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis," Annals of Operations Research, Springer, vol. 271(2), pages 915-969, December.
    7. Shabani, Amir & Visani, Franco & Barbieri, Paolo & Dullaert, Wout & Vigo, Daniele, 2019. "Reliable estimation of suppliers’ total cost of ownership: An imprecise data envelopment analysis model with common weights," Omega, Elsevier, vol. 87(C), pages 57-70.
    8. Saccani, Nicola & Perona, Marco & Bacchetti, Andrea, 2017. "The total cost of ownership of durable consumer goods: A conceptual model and an empirical application," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 1-13.
    9. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).

  3. F. Di Lascio & Simone Giannerini & Alessandra Reale, 2015. "Exploring copulas for the imputation of complex dependent data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(1), pages 159-175, March.

    Cited by:

    1. Hüttner, Amelie & Scherer, Matthias & Gräler, Benedikt, 2020. "Geostatistical modeling of dependent credit spreads: Estimation of large covariance matrices and imputation of missing data," Journal of Banking & Finance, Elsevier, vol. 118(C).
    2. F. Marta L. Lascio & Simone Giannerini, 2019. "Clustering dependent observations with copula functions," Statistical Papers, Springer, vol. 60(1), pages 35-51, February.

  4. F. Di Lascio & Simone Giannerini & Antonello Scorcu & Guido Candela, 2011. "Cultural tourism and temporary art exhibitions in Italy: a panel data analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 519-542, November.

    Cited by:

    1. Calogero Guccio & Domenico Lisi & Anna Mignosa & Ilde Rizzo, 2018. "Does cultural heritage monetary value have an impact on visits? An assessment using official Italian data," Tourism Economics, , vol. 24(3), pages 297-318, May.
    2. Roberto Patuelli & Maurizio Mussoni & Guido Candela, 2016. "The Effects of World Heritage Sites on Domestic Tourism: A Spatial Interaction Model for Italy," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 281-315, Springer.
    3. John Thompson & John Day, 2020. "Understanding the impact and value of temporary public art sculpture trails," Local Economy, London South Bank University, vol. 35(3), pages 186-208, May.
    4. Juan Gabriel Brida & Chiara Dalle Nogare & Raffaele Scuderi, 2017. "Learning at the museum," Tourism Economics, , vol. 23(2), pages 281-294, March.
    5. Enrico E. Bertacchini & Chiara Dalle Nogare & Raffaele Scuderi, 2018. "Ownership, organization structure and public service provision: the case of museums," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(4), pages 619-643, November.
    6. Calogero Guccio & Domenico Lisi & Anna Mignosa & Ilde Rizzo, 2017. "Has cultural heritage monetary value an impact on visits? An assessment using Italian official data," ACEI Working Paper Series AWP-02-2017, Association for Cultural Economics International, revised Feb 2017.
    7. A. E. Scorcu & R. Zanola, 2018. "The drowned and the saved: the determinants of success in the Italian temporary art and cultural exhibitions market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 201-211, May.
    8. Calogero Guccio & Domenico Lisi & Marco Martorana & Anna Mignosa, 2017. "On the role of cultural participation in tourism destination performance: an assessment using robust conditional efficiency approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 129-154, May.
    9. Harold E. Cuffe, 2018. "Rain and museum attendance: Are daily data fine enough?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 213-241, May.
    10. Massimiliano Castellani & Pierpaolo Pattitoni & Laura Vici, 2015. "Pricing Visitor Preferences for Temporary Art Exhibitions," Tourism Economics, , vol. 21(1), pages 83-103, February.
    11. Douglas S. Noonan & Ilde Rizzo, 2017. "Economics of cultural tourism: issues and perspectives," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 95-107, May.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 5 papers 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-DCM: Discrete Choice Models (2) 2017-06-04 2017-06-04
  2. NEP-ENE: Energy Economics (2) 2018-08-13 2020-02-17
  3. NEP-ACC: Accounting & Auditing (1) 2017-06-04
  4. NEP-ENV: Environmental Economics (1) 2020-02-17
  5. NEP-ETS: Econometric Time Series (1) 2018-08-13
  6. NEP-EUR: Microeconomic European Issues (1) 2016-10-23

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, F. Marta L. Di Lascio should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.