Andrea Guizzardi

Personal Details

First Name:	Andrea
Middle Name:
Last Name:	Guizzardi
Suffix:
RePEc Short-ID:	pgu865
	[This author has chosen not to make the email address public]
	https://www.unibo.it/sitoweb/andrea.guizzardi
	Dipartimento di Scienze Statistiche Università di Bologna Via delle Belle Arti 41 40137, Bologna (Italy)

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)

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. Luca Vincenzo Ballestra & Enzo D’Innocenzo & Andrea Guizzardi, 2024. "Score-Driven Modeling with Jumps: An Application to S&P500 Returns and Options," Journal of Financial Econometrics, Oxford University Press, vol. 22(2), pages 375-406.

   Cited by:

   1. Ramon de Punder & Timo Dimitriadis & Rutger-Jan Lange, 2024. "Kullback-Leibler-based characterizations of score-driven updates," Papers 2408.02391, arXiv.org, revised Sep 2024.
      • Ramon de Punder & Timo Dimitriadis & Rutger-Jan Lange, 2024. "Kullback-Leibler-based characterizations of score-driven updates," Tinbergen Institute Discussion Papers 24-051/III, Tinbergen Institute, revised 22 Oct 2024.

2. Ballestra, Luca Vincenzo & D’Innocenzo, Enzo & Guizzardi, Andrea, 2024. "A new bivariate approach for modeling the interaction between stock volatility and interest rate: An application to S&P500 returns and options," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1185-1194.

   Cited by:

   1. Luca Vincenzo Ballestra & Enzo D'Innocenzo & Christian Tezza, 2024. "GARCH option valuation with long-run and short-run volatility components: A novel framework ensuring positive variance," Papers 2410.14513, arXiv.org.
   2. Luca Vincenzo Ballestra & Enzo D'Innocenzo & Christian Tezza, 2024. "A GARCH model with two volatility components and two driving factors," Papers 2410.14585, arXiv.org.

3. Guizzardi, Andrea & Ballestra, Luca Vincenzo & D'Innocenzo, Enzo, 2022. "Hotel dynamic pricing, stochastic demand and covid-19," Annals of Tourism Research, Elsevier, vol. 97(C).

   Cited by:

   1. Maria Giovanna Brandano & Alessandra Faggian & Adriana C Pinate, 2024. "The impact of COVID-19 on the tourism sector in Italy: A regional spatial perspective," Tourism Economics, , vol. 30(8), pages 2181-2202, December.

4. Guizzardi, Andrea & Mariani, Marcello M. & Stacchini, Annalisa, 2022. "A temporal construal theory explanation of the price-quality relationship in online dynamic pricing," Journal of Business Research, Elsevier, vol. 146(C), pages 32-44.

   Cited by:

   1. Francesco Angelini & Paolo Figini & Veronica Leoni, 2024. "High tide, low price? Flooding alerts and hotel prices in Venice," Tourism Economics, , vol. 30(4), pages 876-899, June.
   2. Prakash, David & Spann, Martin, 2022. "Dynamic pricing and reference price effects," Journal of Business Research, Elsevier, vol. 152(C), pages 300-314.
   3. Butori, Raphaëlle & Lancelot Miltgen, Caroline, 2023. "A construal level theory approach to privacy protection: The conjoint impact of benefits and risks of information disclosure," Journal of Business Research, Elsevier, vol. 168(C).
   4. Boto-García, David & Leoni, Veronica, 2024. "Noisy signals: Does rating volatility depend on the length of the consumption span?," Economic Modelling, Elsevier, vol. 139(C).
   5. Akhtar, Naeem & Ittefaq, Huma & Siddiqi, Umar Iqbal & Islam, Tahir & Hameed, Zahid & Kuzior, Aleksandra, 2024. "Zero-COVID and retail: Using multi-wave data to examine the role of perceived risk and psychological factors in shopping abandonment," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
   6. Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
   7. George Thomas, 2023. "Demystifying the Relationship between Restaurant Innovativeness, Customer Engagement, and Customer Willingness to Pay a Higher Price," Sustainability, MDPI, vol. 15(10), pages 1-14, May.
   8. Kim Saxton, M. & Colby, Helen & Saxton, Todd & Pasumarti, Vikram, 2024. "Why or How? the impact of Construal-Level Theory on vaccine message receptivity," Journal of Business Research, Elsevier, vol. 172(C).

5. Stacchini, Annalisa & Guizzardi, Andrea & Mariotti, Alessia, 2022. "Smoothing down arbitrariness in planning: From SWOT to participatory decision making," Land Use Policy, Elsevier, vol. 119(C).

   Cited by:

   1. Margherita Pazzini & Rachele Corticelli & Claudio Lantieri & Cecilia Mazzoli, 2022. "Multi-Criteria Analysis and Decision-Making Approach for the Urban Regeneration: The Application to the Rimini Canal Port (Italy)," Sustainability, MDPI, vol. 15(1), pages 1-28, December.
   2. Rozhkov, Anton, 2024. "Applying graph theory to find key leverage points in the transition toward urban renewable energy systems," Applied Energy, Elsevier, vol. 361(C).
   3. Aftabi, Pegah & Bahramjerdi, Somayeh Fadaei Nezhad, 2023. "Developing a decision-making framework within the management of historical cities: Towards integrated conservation and development of the Roudaki neighbourhood," Land Use Policy, Elsevier, vol. 129(C).

6. Guizzardi, Andrea & Pons, Flavio Maria Emanuele & Angelini, Giovanni & Ranieri, Ercolino, 2021. "Big data from dynamic pricing: A smart approach to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1049-1060.

   Cited by:

   1. Guizzardi, Andrea & Ballestra, Luca Vincenzo & D'Innocenzo, Enzo, 2022. "Hotel dynamic pricing, stochastic demand and covid-19," Annals of Tourism Research, Elsevier, vol. 97(C).
   2. Silva, Emmanuel Sirimal & Hassani, Hossein, 2022. "‘Modelling’ UK tourism demand using fashion retail sales," Annals of Tourism Research, Elsevier, vol. 95(C).
   3. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
   4. Juan D. Borrero & Jesus Mariscal, 2021. "Deterministic Chaos Detection and Simplicial Local Predictions Applied to Strawberry Production Time Series," Mathematics, MDPI, vol. 9(23), pages 1-18, November.

7. Silvia Emili & Paolo Figini & Andrea Guizzardi, 2020. "Modelling international monthly tourism demand at the micro destination level with climate indicators and web-traffic data," Tourism Economics, , vol. 26(7), pages 1129-1151, November.

   Cited by:

   1. Silva, Emmanuel Sirimal & Hassani, Hossein, 2022. "‘Modelling’ UK tourism demand using fashion retail sales," Annals of Tourism Research, Elsevier, vol. 95(C).
   2. David Boto-García & Alvaro Muñiz-Fernández & Levi Pérez, 2024. "Windfall money and outbound tourism: A natural experiment from lottery winnings," Tourism Economics, , vol. 30(5), pages 1257-1280, August.

8. Ballestra, Luca Vincenzo & Guizzardi, Andrea & Palladini, Fabio, 2019. "Forecasting and trading on the VIX futures market: A neural network approach based on open to close returns and coincident indicators," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1250-1262.

   Cited by:

   1. Onur Enginar & Kazim Baris Atici, 2022. "Optimal forecast error as an unbiased estimator of abnormal return: A proposition," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 158-166, January.
   2. Li, Jianping & Li, Guowen & Liu, Mingxi & Zhu, Xiaoqian & Wei, Lu, 2022. "A novel text-based framework for forecasting agricultural futures using massive online news headlines," International Journal of Forecasting, Elsevier, vol. 38(1), pages 35-50.
   3. Byung Yeon Kim & Heejoon Han, 2022. "Multi-Step-Ahead Forecasting of the CBOE Volatility Index in a Data-Rich Environment: Application of Random Forest with Boruta Algorithm," Korean Economic Review, Korean Economic Association, vol. 38, pages 541-569.
   4. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
   5. Ghosh, Indranil & Chaudhuri, Tamal Datta & Alfaro-Cortés, Esteban & Gámez, Matías & García, Noelia, 2022. "A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
   6. Jonas Freibauer & Silja Grawert, 2022. "Testing of a Volatility-Based Trading Strategy Using Behavioral Modified Asset Allocation," JRFM, MDPI, vol. 15(10), pages 1-20, September.
   7. Xu Gong & Mengjie Li & Keqin Guan & Chuanwang Sun, 2023. "Climate change attention and carbon futures return prediction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1261-1288, September.
   8. Huang, Wenyang & Gao, Tianxiao & Hao, Yun & Wang, Xiuqing, 2023. "Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices," Energy Economics, Elsevier, vol. 127(PA).
   9. Yun‐Huan Lee & Tzu‐Hsiang Liao & Hsiu‐Chuan Lee, 2022. "Overnight returns of industry exchange‐traded funds, investor sentiment, and futures market returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 1114-1134, June.

9. Guizzardi, Andrea & Stacchini, Annalisa, 2017. "Destinations strategic groups via Multivariate Competition-based IPA," Tourism Management, Elsevier, vol. 58(C), pages 40-50.

   Cited by:

   1. Paohui Lin & Hsientang Tsai & Tzuya Ho, 2020. "Food Safety Gaps between Consumers’ Expectations and Perceptions: Development and Verification of a Gap-Assessment Tool," IJERPH, MDPI, vol. 17(17), pages 1-17, August.
   2. Ida Rašovská & Marketa Kubickova & Kateřina Ryglová, 2021. "Importance–performance analysis approach to destination management," Tourism Economics, , vol. 27(4), pages 777-794, June.

10. Guizzardi, Andrea & Stacchini, Annalisa, 2015. "Real-time forecasting regional tourism with business sentiment surveys," Tourism Management, Elsevier, vol. 47(C), pages 213-223.

    Cited by:

    1. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    2. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Multiple-input multiple-output vs. single-input single-output neural network forecasting”," AQR Working Papers 201502, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2015.
       • Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Multiple-input multiple-output vs. single-input single-output neural network forecasting”," IREA Working Papers 201502, University of Barcelona, Research Institute of Applied Economics, revised Jan 2015.
    3. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," AQR Working Papers 201801, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2018.
       • Oscar Claveria & Enric Monte & Salvador Torra, 2018. "Tracking economic growth by evolving expectations via genetic programming: A two-step approach," Working Papers XREAP2018-4, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2018.
       • Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    4. Silva, Emmanuel Sirimal & Hassani, Hossein, 2022. "‘Modelling’ UK tourism demand using fashion retail sales," Annals of Tourism Research, Elsevier, vol. 95(C).
    5. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    6. Eden Xiaoying Jiao & Jason Li Chen, 2019. "Tourism forecasting: A review of methodological developments over the last decade," Tourism Economics, , vol. 25(3), pages 469-492, May.
    7. Sudeshna Ghosh, 2021. "Business Confidence and Business Tourism in Japan," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-23, February.
    8. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”," IREA Working Papers 201805, University of Barcelona, Research Institute of Applied Economics, revised Mar 2018.
       • Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”," AQR Working Papers 201802, University of Barcelona, Regional Quantitative Analysis Group, revised Apr 2018.
    9. Law, Rob & Li, Gang & Fong, Davis Ka Chio & Han, Xin, 2019. "Tourism demand forecasting: A deep learning approach," Annals of Tourism Research, Elsevier, vol. 75(C), pages 410-423.
    10. Silva, Emmanuel Sirimal & Ghodsi, Zara & Ghodsi, Mansi & Heravi, Saeed & Hassani, Hossein, 2017. "Cross country relations in European tourist arrivals," Annals of Tourism Research, Elsevier, vol. 63(C), pages 151-168.
    11. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Self-organizing map analysis of agents’ expectations. Different patterns of anticipation of the 2008 financial crisis”," AQR Working Papers 201508, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2015.
        • Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Self-organizing map analysis of agents' expectations. Different patterns of anticipation of the 2008 financial crisis”," IREA Working Papers 201511, University of Barcelona, Research Institute of Applied Economics, revised Mar 2015.
    12. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting"," IREA Working Papers 201701, University of Barcelona, Research Institute of Applied Economics, revised Jan 2017.
        • Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting”," AQR Working Papers 201701, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2017.
    13. Hanyuan Zhang & Jiangping Lu, 2022. "Forecasting hotel room demand amid COVID-19," Tourism Economics, , vol. 28(1), pages 200-221, February.
    14. Valencia Cárdenas, Marisol & Vanegas López, Juan Gabriel & Correa Morales, Juan Carlos & Restrepo Morales, Jorge Aníbal, 2016. "Comparación de pronósticos para la dinámica del turismo en Medellín, Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 86, pages 199-230, December.
    15. Guizzardi, Andrea & Pons, Flavio Maria Emanuele & Angelini, Giovanni & Ranieri, Ercolino, 2021. "Big data from dynamic pricing: A smart approach to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1049-1060.
    16. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Regional Forecasting with Support Vector Regressions: The Case of Spain”," AQR Working Papers 201506, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2015.
        • Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Regional Forecasting with Support Vector Regressions: The Case of Spain”," IREA Working Papers 201507, University of Barcelona, Research Institute of Applied Economics, revised Jan 2015.
    17. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    18. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming," IREA Working Papers 201711, University of Barcelona, Research Institute of Applied Economics, revised May 2017.
        • Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    19. Armand Viljoen & Andrea Saayman & Melville Saayman, 2019. "Determinants influencing inbound arrivals to Africa," Tourism Economics, , vol. 25(6), pages 856-883, September.
    20. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    21. Ke Xu & Junli Zhang & Junhao Huang & Hongbo Tan & Xiuli Jing & Tianxiang Zheng, 2024. "Forecasting Visitor Arrivals at Tourist Attractions: A Time Series Framework with the N-BEATS for Sustainable Tourism," Sustainability, MDPI, vol. 16(18), pages 1-28, September.
    22. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    23. Kulshrestha, Anurag & Krishnaswamy, Venkataraghavan & Sharma, Mayank, 2020. "Bayesian BILSTM approach for tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 83(C).
    24. Anastasiou, Dimitris & Drakos, Konstantinos & Kapopoulos, Panayotis, 2022. "Predicting international tourist arrivals in Greece with a novel sector-specific business leading indicator," MPRA Paper 113860, University Library of Munich, Germany.
    25. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
    26. El houssin Ouassou & Hafsa Taya, 2022. "Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling," Forecasting, MDPI, vol. 4(2), pages 1-18, April.
    27. Marisol Valencia Cárdenas & Juan Gabriel Vanegas López & Juan Carlos Correa Morales & Jorge Aníbal Restrepo Morales, 2017. "Comparing forecasts for tourism dynamics in Medellín, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 199-230, Enero - J.
    28. Tairan Zhang & Zhenji Zhang & Gang Xue, 2024. "Mitigating the disturbances of events on tourism demand forecasting," Annals of Operations Research, Springer, vol. 342(1), pages 1019-1040, November.
    29. Yang, Yang & Zhang, Honglei, 2019. "Spatial-temporal forecasting of tourism demand," Annals of Tourism Research, Elsevier, vol. 75(C), pages 106-119.

11. Cristina Bernini & Andrea Guizzardi & Giovanni Angelini, 2013. "DEA-Like Model and Common Weights Approach for the Construction of a Subjective Community Well-Being Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(2), pages 405-424, November.

    Cited by:

    1. Peiró-Palomino, Jesús & Picazo-Tadeo, Andrés J. & Tortosa-Ausina, Emili, 2021. "Measuring well-being in Colombian departments. The role of geography and demography," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    2. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo & Emili Tortosa-Ausina, 2020. "The Geography of Well-being in Colombia," Working Papers 2020/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. D'Inverno, Giovanna & Carosi, Laura & Ravagli, Letizia, 2018. "Global public spending efficiency in Tuscan municipalities," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 102-113.
    4. Rajko Tomaš, 2022. "Measurement of the Concentration of Potential Quality of Life in Local Communities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 79-109, August.
    5. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2018. "Assessing well-being in European regions. Does government quality matter?," Working Papers 2018/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Jesús Peiró‐Palomino & Andrés J. Picazo‐Tadeo & Vicente Rios, 2020. "Well‐being in European regions: Does government quality matter?," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 555-582, June.
    7. Gianluca Gucciardi, 2022. "Measuring the relative development and integration of EU countries’ capital markets using composite indicators and cluster analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(4), pages 1043-1083, November.
    8. Cristina Bernini & Maria Francesca Cracolici & Peter Nijkamp, 2020. "Micro and Macro Resilience Measures of an Economic Crisis," Networks and Spatial Economics, Springer, vol. 20(1), pages 47-71, March.
    9. Alfredo Cartone & Paolo Postiglione, 2016. "Le componenti principali pesate geograficamente per la definizione di indicatori compositi locali," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2016(1), pages 33-52.
    10. Paulo Caldas & Miguel Varela, 2023. "The Portuguese Public Hospitals Performance Evolution before and during the SARS-CoV-2 Pandemic (2017–2022)," Sustainability, MDPI, vol. 15(15), pages 1-31, July.
    11. Can Mavruk & Ersin Kıral & Gülsen Kıral, 2021. "Spatial Effects Over Time-Framed Happiness," Journal of Happiness Studies, Springer, vol. 22(2), pages 517-554, February.
    12. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
    13. Yiannis Smirlis, 2020. "A trichotomic segmentation approach for estimating composite indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 393-410, July.
    14. Diogo Ferraz & Enzo B. Mariano & Daisy Rebelatto & Dominik Hartmann, 2020. "Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods from Data Envelopment Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 439-478, July.
    15. Jorge Guardiola & Andrés Picazo-Tadeo, 2014. "Building Weighted-Domain Composite Indices of Life Satisfaction with Data Envelopment Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 257-274, May.
    16. Sarracino, Francesco & O'Connor, Kelsey J., 2022. "A Measure of Well-Being Efficiency Based on the World Happiness Report," IZA Discussion Papers 15669, Institute of Labor Economics (IZA).
        • Sarracino, Francesco & O'Connor, Kelsey J., 2022. "A measure of well-being efficiency based on the World Happiness Report," GLO Discussion Paper Series 1061, Global Labor Organization (GLO).
        • Francesco Sarracino & Kelsey J. OConnor, 2022. "A Measure of Well-being Efficiency Based on the World Happiness Report," International Productivity Monitor, Centre for the Study of Living Standards, vol. 43, pages 10-40, Fall.
    17. Víctor Pérez & Alain Hernández & Flor Guerrero & María Amparo León & Christian Luiz Silva & Rafael Caballero, 2016. "Sustainability Ranking for Cuban Tourist Destinations Based on Composite Indexes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 425-444, October.
    18. Hussein Sayed & Ramadan Hamed & Samaa Hazem Hosny & Alyaa Hegazy Abdelhamid, 2018. "Avoiding Ranking Contradictions in Human Development Index Using Goal Programming," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 405-442, July.
    19. Karagiannis, Roxani & Karagiannis, Giannis, 2020. "Constructing composite indicators with Shannon entropy: The case of Human Development Index," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    20. Hussein Sayed & Ramadan Hamed & Mohamed Ramadan & Samaa Hosny, 2015. "Using Meta-goal Programming for a New Human Development Indicator with Distinguishable Country Ranks," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(1), pages 1-27, August.
    21. Cristina Bernini & Maria Francesca Cracolici, 2016. "Is Participation in the Tourism Market an Opportunity for Everyone? Some Evidence from Italy," Tourism Economics, , vol. 22(1), pages 57-79, February.
    22. José Sobreiro Filho & Enzo Barberio Mariano & Vinicius Amorim Sobreiro & Charbel José Chiappetta Jabbour, 2016. "Beyond the Agrarian Reform Policies in Brazil: An Empirical Study of Brazilian States from 1995 Through 2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1093-1114, December.
    23. Jordi Paniagua & Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2020. "Asylum migration in OECD countries: In search of lost well-being," Working Papers 2008, Department of Applied Economics II, Universidad de Valencia.
        • Jordi Paniagua & Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2021. "Asylum Migration in OECD Countries: In Search of Lost Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(3), pages 1109-1137, February.
    24. Cristina Bernini & Alessandro Tampieri, 2017. "The Happiness Function in Italian Cities," DEM Discussion Paper Series 17-07, Department of Economics at the University of Luxembourg.
    25. Cristina Bernini & Maria Francesca Cracolici & Cinzia Viroli, 2017. "Does Tourism Consumption Behaviour Mirror Differences in Living Standards?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 1157-1171, December.
    26. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2018. "OECD: One or Many? Ranking Countries with a Composite Well-Being Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 847-869, October.
    27. Oliviero Carboni & Paolo Russu, 2015. "Assessing Regional Wellbeing in Italy: An Application of Malmquist–DEA and Self-organizing Map Neural Clustering," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 677-700, July.
    28. Oliveira, Renata & Zanella, Andreia & Camanho, Ana S., 2019. "The assessment of corporate social responsibility: The construction of an industry ranking and identification of potential for improvement," European Journal of Operational Research, Elsevier, vol. 278(2), pages 498-513.
    29. Jorge Guardiola & Andrés J. Picazo-Tadeo, 2013. "Weighting life domains with Data Envelopment Analysis," Working Papers 1311, Department of Applied Economics II, Universidad de Valencia.
    30. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    31. Koronakos, Gregory & Smirlis, Yiannis & Sotiros, Dimitris & Despotis, Dimitris K., 2020. "Assessment of OECD Better Life Index by incorporating public opinion," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    32. Jose Manuel Cordero & Cristina Polo & Javier Salinas-Jiménez, 2021. "Subjective Well-Being and Heterogeneous Contexts: A Cross-National Study Using Semi-Nonparametric Frontier Methods," Journal of Happiness Studies, Springer, vol. 22(2), pages 867-886, February.
    33. Singh, Rohit Kumar & Sharma, Supran Kumar, 2023. "A non-parametric synthesize measure for corporate governance: empirical evidence from Indian banks," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 258-279.

12. Guizzardi, Andrea & Mazzocchi, Mario, 2010. "Tourism demand for Italy and the business cycle," Tourism Management, Elsevier, vol. 31(3), pages 367-377.

    Cited by:

    1. Park, Sangwon & Yaduma, Natina & Lockwood, Andrew J. & Williams, Allan M., 2016. "Demand fluctuations, labour flexibility and productivity," Annals of Tourism Research, Elsevier, vol. 59(C), pages 93-112.
    2. Dragouni, Mina & Filis, George & Gavriilidis, Konstantinos & Santamaria, Daniel, 2016. "Sentiment, mood and outbound tourism demand," Annals of Tourism Research, Elsevier, vol. 60(C), pages 80-96.
    3. Deborah Agostino & Marco Brambilla & Silvio Pavanetto & Paola Riva, 2021. "The Contribution of Online Reviews for Quality Evaluation of Cultural Tourism Offers: The Experience of Italian Museums," Sustainability, MDPI, vol. 13(23), pages 1-20, December.
    4. Milagros Fernández-Herrero & Rosa María Hernández-Maestro & Óscar González-Benito, 2022. "Antecedents of tourist trip planning autonomy: The moderating effects of a global economic crisis," Tourism Economics, , vol. 28(5), pages 1153-1173, August.
    5. Francisco Javier Sáez-Fernández & Ignacio Jiménez-Hernández & María del Sol Ostos-Rey, 2020. "Seasonality and Efficiency of the Hotel Industry in the Balearic Islands: Implications for Economic and Environmental Sustainability," Sustainability, MDPI, vol. 12(9), pages 1-17, April.
    6. Poudyal, Neelam C. & Paudel, Bamadev & Tarrant, Michael A., 2013. "A time series analysis of the impact of recession on national park visitation in the United States," Tourism Management, Elsevier, vol. 35(C), pages 181-189.
    7. Daniel Albalate del sol, 2015. "Evaluating HSR availability on Tourism: Evidence from Spanish Provinces and Cities," ERSA conference papers ersa15p288, European Regional Science Association.
    8. Gu, Xinhua & Wu, Jie & Guo, Haizhen & Li, Guoqiang, 2018. "Local tourism cycle and external business cycle," Annals of Tourism Research, Elsevier, vol. 73(C), pages 159-170.
    9. Mayers, Sherry-Ann & Jackman, Mahalia, 2011. "Investigating the business cycle properties of tourist flows to Barbados," MPRA Paper 38646, University Library of Munich, Germany.
    10. Guglielmo Maria Caporale & Stavroula Yfanti & Menelaos Karanasos & Jiaying Wu, 2024. "Financial integration and European tourism stocks," Chapters, in: Guglielmo M. Caporale (ed.), Handbook of Financial Integration, chapter 21, pages 495-538, Edward Elgar Publishing.
        • Guglielmo Maria Caporale & Stavroula Yfanti & Menelaos Karanasos & Jiaying Wu, 2023. "Financial Integration and European Tourism Stocks," CESifo Working Paper Series 10269, CESifo.
    11. Chien-Chiang Lee & Godwin O Olasehinde-Williams & Ifedolapo Olabisi Olanipekun, 2022. "GDP volatility implication of tourism volatility in South Africa: A time-varying approach," Tourism Economics, , vol. 28(2), pages 435-450, March.
    12. Valencia Cárdenas, Marisol & Vanegas López, Juan Gabriel & Correa Morales, Juan Carlos & Restrepo Morales, Jorge Aníbal, 2016. "Comparación de pronósticos para la dinámica del turismo en Medellín, Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 86, pages 199-230, December.
    13. Canova, Fabio & Dallari, Pietro, 2013. "How important is tourism for the international transmission of cyclical fluctuations? Evidence from the Mediterranean," Working Paper Series 1553, European Central Bank.
    14. Massidda, Carla & Etzo, Ivan, 2012. "The determinants of Italian domestic tourism: A panel data analysis," Tourism Management, Elsevier, vol. 33(3), pages 603-610.
    15. Baggio, Rodolfo, 2015. "Looking into the future of complex dynamic systems," MPRA Paper 65549, University Library of Munich, Germany.
    16. Wai Hong Kan Tsui & Faruk Balli & David Tat Wei Tan & Oscar Lau & Mudassar Hasan, 2018. "New Zealand business tourism," Tourism Economics, , vol. 24(4), pages 386-417, June.
    17. Khandokar Istiak, 2023. "Psychological factors of Canadian and Mexican tourists and the US tourism sector," Tourism Economics, , vol. 29(5), pages 1328-1354, August.
    18. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    19. Veli YILANCI & Sertaç HOPOĞLU & Hakan ERYÜZLÜ, 2023. "The impact of the economic policy uncertainty and geopolitical risks on tourism demand of Mexico," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(636), A), pages 147-164, Autumn.
    20. Vatsa, Puneet, 2020. "Comovement amongst the demand for New Zealand tourism," Annals of Tourism Research, Elsevier, vol. 83(C).
    21. Guizzardi, Andrea & Stacchini, Annalisa, 2015. "Real-time forecasting regional tourism with business sentiment surveys," Tourism Management, Elsevier, vol. 47(C), pages 213-223.
    22. Kožić Ivan & Arčabić Vladimir & Sever Ivan, 2022. "Tourism and Business Cycles: Does the Relationship Fade Away?," Zagreb International Review of Economics and Business, Sciendo, vol. 25(1), pages 95-110.
    23. Albalate, Daniel & Fageda, Xavier, 2016. "High speed rail and tourism: Empirical evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 174-185.
    24. Cem Işık & Ercan Sirakaya-Turk & Serdar Ongan, 2020. "Testing the efficacy of the economic policy uncertainty index on tourism demand in USMCA: Theory and evidence," Tourism Economics, , vol. 26(8), pages 1344-1357, December.
    25. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
    26. Hsu, Pao-Peng, 2017. "Examination of Taiwan's travel and tourism market cycle through a two-period Markov regime-switching model," Tourism Management, Elsevier, vol. 63(C), pages 201-208.
    27. Fen Zhang & Haochen Peng & Xiaofan Sun & Tianyi Song, 2022. "Influence of Tourism Economy on Air Quality—An Empirical Analysis Based on Panel Data of 102 Cities in China," IJERPH, MDPI, vol. 19(7), pages 1-17, April.
    28. Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.
    29. Robertico Croes & Jorge Ridderstaat, 2017. "The effects of business cycles on tourism demand flows in small island destinations," Tourism Economics, , vol. 23(7), pages 1451-1475, November.
    30. Andreea Marin-Pantelescu & Laurențiu Tăchiciu & Ionica Oncioiu & Mihaela Ștefan-Hint, 2022. "Erasmus Students’ Experiences as Cultural Visitors: Lessons in Destination Management," Sustainability, MDPI, vol. 14(5), pages 1-26, February.
    31. Andraz, Jorge M. & Rodrigues, Paulo M.M., 2016. "Monitoring tourism flows and destination management: Empirical evidence for Portugal," Tourism Management, Elsevier, vol. 56(C), pages 1-7.
    32. Marisol Valencia Cárdenas & Juan Gabriel Vanegas López & Juan Carlos Correa Morales & Jorge Aníbal Restrepo Morales, 2017. "Comparing forecasts for tourism dynamics in Medellín, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 199-230, Enero - J.
    33. Correa, Alexander, 2021. "Prediciendo la llegada de turistas a Colombia a partir de los criterios de Google Trends," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue No. 95, pages 105-134, July.
    34. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.

13. 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.

    Cited by:

    1. Zha, Jianping & He, Lamei & Liu, Yang & Shao, Yuhong, 2019. "Evaluation on development efficiency of low-carbon tourism economy: A case study of Hubei Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 47-57.
    2. Vincent Linderhof & Stijn Reinhard, 2012. "Do rural development program measures for the encouragement of rural tourism work? A spatial econometric analysis," ERSA conference papers ersa12p932, European Regional Science Association.
    3. Bo Zhou & Yanping Xu & Seul Ki Lee, 2019. "Tourism development and regional production efficiency: Evidence from southwestern China," Tourism Economics, , vol. 25(5), pages 800-818, August.
    4. Claudio Detotto & Manuela Pulina & Juan Gabriel Brida, 2014. "Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis," Post-Print hal-01972857, HAL.
       • Claudio Detotto & Manuela Pulina & Juan Brida, 2014. "Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis," Journal of Productivity Analysis, Springer, vol. 42(2), pages 103-121, October.
    5. Arbelo-Pérez, Marta & Arbelo, Antonio & Pérez-Gómez, Pilar, 2017. "Impact of quality on estimations of hotel efficiency," Tourism Management, Elsevier, vol. 61(C), pages 200-208.
    6. Bernini, Cristina & Galli, Federica, 2023. "Innovation, productivity and spillover effects in the Italian accommodation industry," Economic Modelling, Elsevier, vol. 119(C).
    7. Manuela Pulina & Valentina Santoni, 2018. "A two-stage DEA approach to analyse the efficiency of the hospitality sector," Tourism Economics, , vol. 24(3), pages 352-365, May.
    8. Zutao Deng & Yan Gao & Bin Liang & Alastair M Morrison, 2020. "Efficiency evaluation of hotel operations in Mainland China based on the superefficiency SBM model," Tourism Economics, , vol. 26(2), pages 276-298, March.
    9. Pin-Ju Juan & Shin-Yi Lin, 2013. "Selecting Resort Locations," Tourism Economics, , vol. 19(6), pages 1249-1272, December.
    10. Hongwei Liu & Henry Tsai, 2018. "Total factor productivity growth and regional competitive analysis of China’s star-rated hotels," Tourism Economics, , vol. 24(6), pages 625-644, September.
    11. Puciato, Daniel, 2016. "Attractiveness of municipalities in South-Western Poland as determinants for hotel chain investments," Tourism Management, Elsevier, vol. 57(C), pages 245-255.
    12. Oliveira, Ricardo & Pedro, Maria Isabel & Marques, Rui Cunha, 2013. "Efficiency and its determinants in Portuguese hotels in the Algarve," Tourism Management, Elsevier, vol. 36(C), pages 641-649.
    13. Antonio Arbelo & Pilar Pérez-Gómez & Marta Arbelo-Pérez, 2017. "Cost efficiency and its determinants in the hotel industry," Tourism Economics, , vol. 23(5), pages 1056-1068, August.
    14. Daniel Puciato & Piotr Oleśniewicz & Agnieszka Gawlik & Julita Markiewicz-Patkowska & Krzysztof Widawski & Teresa Słaby & Rafał Kasprzak & Barbara Mróz-Gorgoń, 2019. "Location factors for budget, medium standard and luxury hotels based on the example of hotels operating in Poland," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(1), pages 61-73.
    15. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
    16. Daniel Puciato & Ewa Dziedzic, 2017. "Attractiveness of South-West Poland municipalities for independent hotel investors," Tourism Economics, , vol. 23(3), pages 702-711, May.
    17. Marco Corsino & Enrico Zaninotto, 2012. "Revealing the influence of managerial practices and entrepreneurs' characteristics on hotel efficiency," DISA Working Papers 2012/03, Department of Computer and Management Sciences, University of Trento, Italy, revised May 2012.

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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-CFN: Corporate Finance (1) 2020-07-20
2. NEP-ORE: Operations Research (1) 2020-07-20
3. NEP-URE: Urban and Real Estate Economics (1) 2020-07-20

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