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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
https://www.unibz.it/it/faculties/economics-management/
RePEc:edi:feubzit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. F. Marta L. Di Lascio & Selene Perazzini, 2024. "A three-way dynamic panel threshold regression model for change point detection in bioimpedance data," BEMPS - Bozen Economics & Management Paper Series BEMPS104, Faculty of Economics and Management at the Free University of Bozen.
  2. F. Marta L. Di Lascio & Ilan Noy & Selene Perazzini, 2022. "Modelling spatial correlation between earthquake insured losses in New Zealand: a mixed-effects analysis," BEMPS - Bozen Economics & Management Paper Series BEMPS98, Faculty of Economics and Management at the Free University of Bozen.
  3. F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà, 2021. "A spatially-weighted AMH copula-based dissimilarity measure to cluster variables in panel data," BEMPS - Bozen Economics & Management Paper Series BEMPS89, Faculty of Economics and Management at the Free University of Bozen.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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. F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà, 2024. "A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency," Environmetrics, John Wiley & Sons, Ltd., vol. 35(1), February.
  2. 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).
  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. 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).
  5. 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.
  6. F. Marta L. Lascio & Simone Giannerini, 2019. "Clustering dependent observations with copula functions," Statistical Papers, Springer, vol. 60(1), pages 35-51, February.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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 & 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.

    Cited by:

    1. Andrea Menapace & Simone Santopietro & Rudy Gargano & Maurizio Righetti, 2021. "Stochastic Generation of District Heat Load," Energies, MDPI, vol. 14(17), pages 1-17, August.
    2. F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà, 2021. "A spatially-weighted AMH copula-based dissimilarity measure to cluster variables in panel data," BEMPS - Bozen Economics & Management Paper Series BEMPS89, 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.

    Cited by:

    1. Andrea Menapace & Simone Santopietro & Rudy Gargano & Maurizio Righetti, 2021. "Stochastic Generation of District Heat Load," Energies, MDPI, vol. 14(17), pages 1-17, August.
    2. F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà, 2024. "A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency," Environmetrics, John Wiley & Sons, Ltd., vol. 35(1), February.
    3. F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà, 2021. "A spatially-weighted AMH copula-based dissimilarity measure to cluster variables in panel data," BEMPS - Bozen Economics & Management Paper Series BEMPS89, Faculty of Economics and Management at the Free University of Bozen.
    4. Paul Anton Verwiebe & Stephan Seim & Simon Burges & Lennart Schulz & Joachim Müller-Kirchenbauer, 2021. "Modeling Energy Demand—A Systematic Literature Review," Energies, MDPI, vol. 14(23), pages 1-58, November.

  3. 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.

    Cited by:

    1. Leventis, Stergios & Tsalavoutas, Ioannis & Tsoligkas, Fanis, 2024. "Informal institutions in accounting research: A structured literature review," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 55(C).
    2. Yang, Jingwen & Hemmings, Danial & Jaafar, Aziz & Jackson, Richard H.G., 2022. "The real earnings management gap between private and public firms: Evidence from Europe," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 49(C).
    3. Sascha B. Herr & Peter Lorson & Jochen Pilhofer, 2022. "Alternative Performance Measures: A Structured Literature Review of Research in Academic and Professional Journals," Schmalenbach Journal of Business Research, Springer, vol. 74(3), pages 389-451, September.
    4. Gaelle Lenormand & Hoang Nguyen & Lionel Touchais, 2023. "The information content of alternative performance measures in the European context [Le contenu informationnel des indicateurs alternatifs de performance dans le contexte européen]," Post-Print hal-04672673, HAL.

  4. 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. 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).

    Cited by:

    1. F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà, 2024. "A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency," Environmetrics, John Wiley & Sons, Ltd., vol. 35(1), February.
    2. Paolo Onorati & Brunero Liseo, 2022. "Bayesian Hierarchical Copula Models with a Dirichlet–Laplace Prior," Stats, MDPI, vol. 5(4), pages 1-17, November.
    3. Veronica Distefano & Maria Mannone & Irene Poli, 2023. "Exploring Heterogeneity with Category and Cluster Analyses for Mixed Data," Stats, MDPI, vol. 6(3), pages 1-16, July.
    4. Tianjiao Wang & Xiaona Xia, 2023. "The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature Clusters," SAGE Open, , vol. 13(2), pages 21582440231, April.

  2. 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.
    See citations under working paper version above.
  3. 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).
    See citations under working paper version above.
  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.

    Cited by:

    1. F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà, 2024. "A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency," Environmetrics, John Wiley & Sons, Ltd., vol. 35(1), February.
    2. Paul Anton Verwiebe & Stephan Seim & Simon Burges & Lennart Schulz & Joachim Müller-Kirchenbauer, 2021. "Modeling Energy Demand—A Systematic Literature Review," Energies, MDPI, vol. 14(23), pages 1-58, November.

  5. 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.
  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.

    Cited by:

    1. F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà, 2024. "A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency," Environmetrics, John Wiley & Sons, Ltd., vol. 35(1), February.
    2. Fazlollah Soleymani & Mahdi Vasighi, 2022. "Efficient portfolio construction by means of CVaR and k‐means++ clustering analysis: Evidence from the NYSE," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3679-3693, July.

  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.

    Cited by:

    1. 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).
    2. 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.
    3. 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, September.
    4. 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.
    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. 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.
    7. 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).
    8. 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.
    9. 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. 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. F. Marta L. Lascio & Simone Giannerini, 2019. "Clustering dependent observations with copula functions," Statistical Papers, Springer, vol. 60(1), pages 35-51, February.
    2. 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).
    3. Eckhard Liebscher, 2024. "Fitting copulas in the case of missing data," Statistical Papers, Springer, vol. 65(6), pages 3681-3711, August.
    4. Florian M. Hollenbach & Iavor Bojinov & Shahryar Minhas & Nils W. Metternich & Michael D. Ward & Alexander Volfovsky, 2021. "Multiple Imputation Using Gaussian Copulas," Sociological Methods & Research, , vol. 50(3), pages 1259-1283, August.

  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.

    Cited by:

    1. F. Marta L. Lascio & Simone Giannerini, 2019. "Clustering dependent observations with copula functions," Statistical Papers, Springer, vol. 60(1), pages 35-51, February.

  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.

    Cited by:

    1. Juan Gabriel Brida & Chiara Dalle Nogare & Raffaele Scuderi, 2017. "Learning at the museum," Tourism Economics, , vol. 23(2), pages 281-294, March.
    2. Roberto Patuelli & Maurizio Mussoni & Guido Candela, 2013. "The effects of World Heritage Sites on domestic tourism: a spatial interaction model for Italy," Journal of Geographical Systems, Springer, vol. 15(3), pages 369-402, July.
    3. 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.
    4. 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.
    5. Gangwei Cai & Baoping Zou & Xiaoting Chi & Xincheng He & Yuang Guo & Wen Jiang & Qian Wu & Yujin Zhang & Yanna Zhou, 2023. "Neighborhood Spatio-Temporal Impacts of SDG 8.9: The Case of Urban and Rural Exhibition-Driven Tourism by Multiple Methods," Land, MDPI, vol. 12(2), pages 1-37, January.
    6. 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.
    7. 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.
    8. Gangwei Cai & Lei Xu & Weijun Gao & Yan Hong & Xiaoyu Ying & Yan Wang & Fanyue Qian, 2020. "The Positive Impacts of Exhibition-Driven Tourism on Sustainable Tourism, Economics, and Population: The Case of the Echigo–Tsumari Art Triennale in Japan," IJERPH, MDPI, vol. 17(5), pages 1-24, February.
    9. 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.
    10. 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.
    11. Massimiliano Castellani & Pierpaolo Pattitoni & Laura Vici, 2015. "Pricing Visitor Preferences for Temporary Art Exhibitions," Tourism Economics, , vol. 21(1), pages 83-103, February.
    12. Enrico Bertacchini & Chiara Dalle Nogare, 2021. "The economics of cultural tourism: New topics and methods," Tourism Economics, , vol. 27(6), pages 1177-1184, September.
    13. Elisa Panzera & Thomas de Graaff & Henri L.F. de Groot, 2021. "European cultural heritage and tourism flows: The magnetic role of superstar World Heritage Sites," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 101-122, February.
    14. 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.
    15. 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.

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 7 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-URE: Urban and Real Estate Economics (2) 2021-09-27 2023-01-16
  4. NEP-ACC: Accounting and Auditing (1) 2017-06-04
  5. NEP-ENV: Environmental Economics (1) 2020-02-17
  6. NEP-ETS: Econometric Time Series (1) 2018-08-13
  7. NEP-EUR: Microeconomic European Issues (1) 2016-10-23
  8. NEP-ISF: Islamic Finance (1) 2021-09-27
  9. NEP-RMG: Risk Management (1) 2023-01-16

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