Marilena Furno

Personal Details

First Name:	Marilena
Middle Name:
Last Name:	Furno
Suffix:
RePEc Short-ID:	pfu17
	[This author has chosen not to make the email address public]
	Via Orazio 27D 80122 Napoli Italy
Terminal Degree:	1988 Department of Economics; Boston College (from RePEc Genealogy)

Affiliation

Dipartimento di Economia e Politica Agraria
Università degli Studi di Napoli - "Federico II"

Napoli, Italy
http://www.depa.unina.it/
RePEc:edi:danapit (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

1. Marilena Furno, 2008. "Quantile regressions analysis of the Italian school system," Working Papers 2008-06, Universita' di Cassino, Dipartimento di Economia e Giurisprudenza.

   Cited by:

   1. Marilena Furno, 2011. "Goodness of Fit and Misspecification in Quantile Regressions," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 105-131, February.
   2. Marilena Furno, 2012. "Tests for structural break in quantile regressions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(4), pages 493-515, October.

Articles

1. Panico, Teresa & Caracciolo, Francesco & Furno, Marilena, 2022. "Analysing the consumer purchasing behaviour for certified wood products in Italy," Forest Policy and Economics, Elsevier, vol. 136(C).

   Cited by:

   1. Maria Csutora & Gabor Harangozo & Cecilia Szigeti, 2022. "Factors behind the Consumer Acceptance of Sustainable Business Models in Pandemic Times," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
   2. Maria Lanfredi & Rosa Coluzzi & Vito Imbrenda & Bogdana Nosova & Massimiliano Giacalone & Rosario Turco & Marcela Prokopovà & Luca Salvati, 2023. "In-between Environmental Sustainability and Economic Viability: An Analysis of the State, Regulations, and Future of Italian Forestry Sector," Land, MDPI, vol. 12(5), pages 1-21, May.
   3. Rocchi, L. & Campioni, R. & Brunori, A. & Mariano, E., 2023. "Environmental certification of woody charcoal: A choice experiments application," Forest Policy and Economics, Elsevier, vol. 154(C).
   4. Zanchini, Raffaele & Blanc, Simone & Pippinato, Liam & Poratelli, Francesca & Bruzzese, Stefano & Brun, Filippo, 2022. "Enhancing wood products through ENplus, FSC and PEFC certifications: Which attributes do consumers value the most?," Forest Policy and Economics, Elsevier, vol. 142(C).
   5. Marzia Ingrassia & Stefania Chironi & Giuseppe Lo Grasso & Luciano Gristina & Nicola Francesca & Simona Bacarella & Pietro Columba & Luca Altamore, 2022. "Is Environmental Sustainability Also “Economically Efficient”? The Case of the “SOStain” Certification for Sicilian Sparkling Wines," Sustainability, MDPI, vol. 14(12), pages 1-26, June.

2. Gianni Cicia & Marilena Furno & Teresa Giudice, 2021. "Do consumers’ values and attitudes affect food retailer choice? Evidence from a national survey on farmers’ market in Germany," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-21, December.

   Cited by:

   1. Christoph F. Wiedenroth & Verena Otter, 2022. "Can new healthy luxury food products accelerate short food supply chain formation via social media marketing in high-income countries?," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-30, December.
   2. Brunella Arru & Roberto Furesi & Pietro Pulina & Fabio A. Madau, 2022. "Price Sensitivity of Fish Fed with Insect Meal: An Analysis on Italian Consumers," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
   3. Rosalia Stella Evola & Giovanni Peira & Erica Varese & Alessandro Bonadonna & Enrica Vesce, 2022. "Short Food Supply Chains in Europe: Scientific Research Directions," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
   4. Marcin Gąsior, 2021. "Environmental Attitudes and Willingness to Purchase Online—Classification Approach," Sustainability, MDPI, vol. 13(15), pages 1-17, August.
   5. Antonino Galati & Giuseppina Migliore & Alkis Thrassou & Giorgio Schifani & Giuseppina Rizzo & Nino Adamashvili & Maria Crescimanno, 2023. "Consumers’ Willingness to Pay for Agri-Food Products Delivered with Electric Vehicles in the Short Supply Chains," FIIB Business Review, , vol. 12(2), pages 193-207, June.
   6. Xiaochu Hu & Lorraine W. Clarke & Kamran Zendehdel, 2021. "Farmers’ Market Usage, Fruit and Vegetable Consumption, Meals at Home and Health–Evidence from Washington, DC," Sustainability, MDPI, vol. 13(13), pages 1-14, July.
   7. Dominika Jakubowska & Tomáš Sadílek, 2023. "Sustainably produced butter: The effect of product knowledge, interest in sustainability, and consumer characteristics on purchase frequency," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(1), pages 25-34.

3. Marilena Furno & Francesco Caracciolo, 2020. "Multi-valued Double Robust quantile treatment effect," Empirical Economics, Springer, vol. 58(5), pages 2545-2571, May.

   Cited by:

   1. Elisabetta Gotor & Muhammed Abdella Usman & Martina Occelli & Basazen Fantahun & Carlo Fadda & Yosef Gebrehawaryat Kidane & Dejene Mengistu & Afewerki Yohannes Kiros & Jemal Nurhisen Mohammed & Mekone, 2021. "Wheat Varietal Diversification Increases Ethiopian Smallholders’ Food Security: Evidence from a Participatory Development Initiative," Sustainability, MDPI, vol. 13(3), pages 1-17, January.

4. Caracciolo, Francesco & Furno, Marilena, 2020. "Hedonic Functions, Heterogeneous Consumers, and Wine Market Segmentation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(2), March.

   Cited by:

   1. Roberts, Shane & Brooks, Kathleen R. & Nogueira, Lia & Walters, Cory G., 2020. "The Role of Quality Characteristics in Pricing Hard Red Winter Wheat," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304560, Agricultural and Applied Economics Association.
      • Roberts, Shane & Brooks, Kathleen & Nogueira, Lia & Walters, Cory G., 2022. "The role of quality characteristics in pricing hard red winter wheat," Food Policy, Elsevier, vol. 108(C).
   2. Oczkowski, Edward, 2021. "Estimating supply functions for wine attributes: a two-stage hedonic approach," Working Papers 321856, American Association of Wine Economists.
      • Oczkowski, Edward, 2022. "Estimating Supply Functions for Wine Attributes: A Two-Stage Hedonic Approach," Journal of Wine Economics, Cambridge University Press, vol. 17(1), pages 1-26, February.
   3. Castriota, Stefano & Corsi, Stefano & Frumento, Paolo Dyno & Ruggeri, Giordano, 2021. "Does quality pay off? “Superstar” wines and the uncertain price premium across quality grades," Working Papers 321846, American Association of Wine Economists.
   4. Nicola Casolani & Andrea Ciccarelli & Maria Angela Perito & Emilio Chiodo, 2024. "The Importance of Region of Origin in Sparkling Wines: An International Analysis of Consumers’ Perception," Sustainability, MDPI, vol. 16(1), pages 1-16, January.

5. Marilena Furno & Francesco La Barbera & Fabio Verneau, 2019. "Accounting for the hypothetical bias: A changing adjustment factor approach," Agribusiness, John Wiley & Sons, Ltd., vol. 35(3), pages 329-342, July.

   Cited by:

   1. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
   2. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
   3. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
   4. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.

6. Francesco Caracciolo & Marilena Furno, 2017. "Quantile treatment effect and double robust estimators," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 44(4), pages 585-604, September.

   Cited by:

   1. Maria Raimondo & Francesco Caracciolo & Concetta Nazzaro & Giuseppe Marotta, 2021. "Organic Farming Increases the Technical Efficiency of Olive Farms in Italy," Agriculture, MDPI, vol. 11(3), pages 1-15, March.
   2. Elisabetta Gotor & Muhammed Abdella Usman & Martina Occelli & Basazen Fantahun & Carlo Fadda & Yosef Gebrehawaryat Kidane & Dejene Mengistu & Afewerki Yohannes Kiros & Jemal Nurhisen Mohammed & Mekone, 2021. "Wheat Varietal Diversification Increases Ethiopian Smallholders’ Food Security: Evidence from a Participatory Development Initiative," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
   3. Felicetta Carillo & Francesco Caracciolo & Luigi Cembalo, 2017. "Do durum wheat producers benefit of vertical coordination?," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-13, December.
   4. Marilena Furno & Francesco Caracciolo, 2020. "Multi-valued Double Robust quantile treatment effect," Empirical Economics, Springer, vol. 58(5), pages 2545-2571, May.

7. Marilena Furno, 2014. "Quantile regression estimates and the analysis of structural breaks," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2185-2192, December.

   Cited by:

   1. Christis Katsouris, 2023. "Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates," Papers 2302.05193, arXiv.org.
   2. Harry J. Turtle & Chengping Zhang, 2015. "Structural breaks and portfolio performance in global equity markets," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 909-922, June.

8. Marilena Furno, 2014. "Sign tests for unit root and change in persistence," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(3/4), pages 269-287.

   Cited by:

   1. Petrenko, Victoria (Петренко, ВИктория) & Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Maria (Турунцева, Мария), 2016. "Testing of Changes in Persistence and Their Effect on the Forecasting Quality [Тестирование Изменения Инерционности И Влияние На Качество Прогнозов]," Working Papers 542, Russian Presidential Academy of National Economy and Public Administration.

9. Marilena Furno, 2014. "Returns to education and gender gap," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(5), pages 628-649, September.

   Cited by:

   1. Karlis Vilerts & Olegs Krasnopjorovs & Edgars Brekis, 2015. "Does Education Affect Wages During and After Economic Crisis? Evidence from Latvia (2006–2012)," Working Papers 2015/03, Latvijas Banka.
   2. Marilena Furno, 2020. "Returns to Education and Gender Wage Gap Across Quantiles in Italy," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(2), pages 145-169, June.
   3. Gail Pacheco & Chao Li & Bill Cochrane, 2017. "Empirical evidence of the gender pay gap in NZ," Working Papers 2017-05, Auckland University of Technology, Department of Economics.
   4. Andrea Cutillo & Marco Centra, 2017. "Gender-Based Occupational Choices and Family Responsibilities: The Gender Wage Gap in Italy," Feminist Economics, Taylor & Francis Journals, vol. 23(4), pages 1-31, October.
   5. Mamiko Takeuchi, 2019. "Earnings gaps among higher-educated workers withinmain cities insemi-industrializedandnewly industrialized Asian countries," Discussion Papers in Economics and Business 19-06-Rev., Osaka University, Graduate School of Economics, revised Jul 2019.

10. Furno, Marilena, 2013. "Quantile regression and structural change in the Italian wage equation," Economic Modelling, Elsevier, vol. 30(C), pages 420-434.

    Cited by:

    1. Li, Hua & Yao, Shunbo & Yin, Runsheng & Liu, Guangquan, 2015. "Assessing the decadal impact of China's sloping land conversion program on household income under enrollment and earning differentiation," Forest Policy and Economics, Elsevier, vol. 61(C), pages 95-103.

11. Marilena Furno, 2012. "Tests for structural break in quantile regressions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(4), pages 493-515, October.

    Cited by:

    1. Marilena Furno, 2011. "Goodness of Fit and Misspecification in Quantile Regressions," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 105-131, February.
    2. Marilena Furno, 2021. "Cointegration tests at the quantiles," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1087-1100, January.
    3. Liu, Weiqiang, 2023. "A consistent nonparametric test for the structure change in quantile regression," Economics Letters, Elsevier, vol. 228(C).
    4. Zhou, Mi & Wang, Huixia Judy & Tang, Yanlin, 2015. "Sequential change point detection in linear quantile regression models," Statistics & Probability Letters, Elsevier, vol. 100(C), pages 98-103.

12. Furno, Marilena, 2000. "Lm Tests In The Presence Of Non-Normal Error Distributions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 249-261, April.

    Cited by:

    1. Iglesias, Emma M., 2006. "Higher-order asymptotic properties of QML in [beta]-ARCH and [mu]-ARCH models," Economics Letters, Elsevier, vol. 93(2), pages 261-266, November.
    2. Lijuan Huo & Tae-Hwan Kim & Yunmi Kim, 2013. "Testing for Autocorrelation in Quantile Regression Models," Working papers 2013rwp-54, Yonsei University, Yonsei Economics Research Institute.
       • Lijuan Huo & Tae-Hwan Kim & Yunmi Kim & Dong Jin Lee, 2014. "Testing for Autocorrelation in Quantile Regression Models," Working papers 2014rwp-76, Yonsei University, Yonsei Economics Research Institute.
    3. Furno, Marilena, 2001. "LAD estimation with random coefficient autocorrelated errors," Computational Statistics & Data Analysis, Elsevier, vol. 36(4), pages 511-523, June.
    4. Alejo, Javier & Montes-Rojas, Gabriel & Sosa-Escudero, Walter, 2018. "Testing for serial correlation in hierarchical linear models," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 101-116.

13. Furno, Marilena, 1998. "Estimating the variance of the LAD regression coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 27(1), pages 11-26, March.

    Cited by:

    1. Arnab Maity & Michael Sherman, 2008. "On adaptive linear regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(12), pages 1409-1422.

14. Baum, Christopher F & Furno, Marilena, 1990. "Analyzing the Stability of Demand-for-Money Equations via Bounded-Influence Estimation Techniques," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 22(4), pages 465-477, November.

    Cited by:

    1. Coppock, Lee & Poitras, Marc, 2000. "Evaluating the Fisher effect in long-term cross-country averages," International Review of Economics & Finance, Elsevier, vol. 9(2), pages 181-192.
    2. Yash P. Mehra, 1991. "An error-correction model of U.S. M2 demand," Economic Review, Federal Reserve Bank of Richmond, vol. 77(May), pages 3-12.
    3. C. P. Barros & João Ricardo Faria & Luis A. Gil-Alana, 2017. "The demand for money in Angola," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 408-420, April.
    4. Hueng, C. James, 1999. "Money demand in an open-economy shopping-time model: an out-of-sample-prediction application to Canada," Journal of Economics and Business, Elsevier, vol. 51(6), pages 489-503.
    5. Yash P. Mehra, 1992. "In search of a stable, short-run M1 demand function," Economic Review, Federal Reserve Bank of Richmond, vol. 78(May), pages 9-23.

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