Alessia Naccarato

Personal Details

First Name:	Alessia
Middle Name:
Last Name:	Naccarato
Suffix:
RePEc Short-ID:	pna293
	[This author has chosen not to make the email address public]

Affiliation

Dipartimento di Economia
Scuola de Economia e Studi Aziendali
Università degli Studi Roma Tre

Roma, Italy
https://economia.uniroma3.it/
RePEc:edi:dero3it (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. Grimaccia, Elena & Naccarato, Alessia, 2018. "Economic and social factors of food insecurity : A study of individual vulnerability at the global level," 2018 Seventh AIEAA Conference, June 14-15, Conegliano, Italy 275650, Italian Association of Agricultural and Applied Economics (AIEAA).

   Cited by:

   1. Elena Grimaccia & Alessia Naccarato, 2022. "Food Insecurity in Europe: A Gender Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 649-667, June.

2. Alessia Naccarato & Andrea Pierini & Stefano Falorsi, 2015. "Using Google Trend Data To Predict The Italian Unemployment Rate," Departmental Working Papers of Economics - University 'Roma Tre' 0203, Department of Economics - University Roma Tre.

   Cited by:

   1. Humaira Kamal Pasha, 2024. "Smart access and smart protection for welfare gain in Europe during COVID‐19: An empirical investigation using real‐time data," Bulletin of Economic Research, Wiley Blackwell, vol. 76(1), pages 41-66, January.
   2. Mihaela Simionescu & Dalia Streimikiene & Wadim Strielkowski, 2020. "What Does Google Trends Tell Us about the Impact of Brexit on the Unemployment Rate in the UK?," Sustainability, MDPI, vol. 12(3), pages 1-10, January.
   3. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
   4. Mihaela, Simionescu, 2020. "Improving unemployment rate forecasts at regional level in Romania using Google Trends," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

3. Saverio M. Fratini & Alessia Naccarato, 2014. "The Gravitation of Market Prices as a Stochastic Process," Departmental Working Papers of Economics - University 'Roma Tre' 0195, Department of Economics - University Roma Tre.
   • Saverio M. Fratini & Alessia Naccarato, 2016. "The Gravitation of Market Prices as A Stochastic Process," Metroeconomica, Wiley Blackwell, vol. 67(4), pages 698-716, November.

   Cited by:

   1. Antonio D’Agata, 2018. "Freeing long‐period prices from the uniform profit rate hypothesis: A general model of long‐period positions," Metroeconomica, Wiley Blackwell, vol. 69(4), pages 847-861, November.
   2. Enrico Bellino & Christian Bidard & Saverio M. Fratini & G.C. Harcourt & Arrigo Opocher & Ian Steedman & Naoki Yoshihara & Heinz D. Kurz, 2017. "Symposium on Arrigo Opocher and Ian Steedman (," Metroeconomica, Wiley Blackwell, vol. 68(4), pages 586-624, November.
   3. Bellino, Enrico & Serrano, Franklin, 2017. "Gravitation of Market Prices towards Normal Prices: Some New Results," Centro Sraffa Working Papers CSWP25, Centro di Ricerche e Documentazione "Piero Sraffa".
   4. Ellis Scharfenaker & Gregor Semieniuk, 2017. "A Statistical Equilibrium Approach to the Distribution of Profit Rates," Metroeconomica, Wiley Blackwell, vol. 68(3), pages 465-499, July.
      • Ellis Scharfenaker & Gregor Semieniuk, 2015. "A Statistical Equilibrium Approach to the Distribution of Profit Rates," SCEPA working paper series. 2015-05, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
   5. Stefano Zambelli, 2018. "Production of commodities by means of commodities and non‐uniform rates of profits," Metroeconomica, Wiley Blackwell, vol. 69(4), pages 791-819, November.
   6. Bellino, Enrico & Serrano, Franklin, 2017. "Gravitation of market prices towards normal prices: some new results," MPRA Paper 79297, University Library of Munich, Germany.

4. Alessia Naccarato, 2012. "Spatio-Temporal weight with simultaneous effect for environmental data," Departmental Working Papers of Economics - University 'Roma Tre' 0157, Department of Economics - University Roma Tre.

   Cited by:

   1. Alessia Naccarato & Benassi Federico, 2013. "Administrative boundaries and homogeneus areas with respect to demographic features of resident population in Tuscany," Departmental Working Papers of Economics - University 'Roma Tre' 0184, Department of Economics - University Roma Tre.

Articles

1. Elena Grimaccia & Alessia Naccarato, 2019. "Food Insecurity Individual Experience: A Comparison of Economic and Social Characteristics of the Most Vulnerable Groups in the World," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 391-410, May.

   Cited by:

   1. Elena Grimaccia & Alessia Naccarato, 2022. "Food Insecurity in Europe: A Gender Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 649-667, June.
   2. Emma Beacom & Sinéad Furey & Lynsey Hollywood & Paul Humphreys, 2022. "Food Insecurity Measurement: Stakeholder Comparisons of the EU-SILC and HFSSM Indicators and Considerations Towards the Usefulness of a Headline Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 1021-1041, August.
   3. Nicholson, Charles F. & Stephens, Emma C. & Kopainsky, Birgit & Jones, Andrew D. & Parsons, David & Garrett, James, 2021. "Food security outcomes in agricultural systems models: Current status and recommended improvements," Agricultural Systems, Elsevier, vol. 188(C).
   4. Hanna Dudek & Joanna Myszkowska-Ryciak & Agnieszka Wojewódzka-Wiewiórska, 2021. "Profiles of Food Insecurity: Similarities and Differences across Selected CEE Countries," Energies, MDPI, vol. 14(16), pages 1-19, August.
   5. Hanna Dudek & Joanna Myszkowska-Ryciak, 2022. "Food Insecurity in Central-Eastern Europe: Does Gender Matter?," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
   6. Otilia Vanessa Cordero-Ahiman & Jorge Leonardo Vanegas & Pablo Beltrán-Romero & María Elena Quinde-Lituma, 2020. "Determinants of Food Insecurity in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador," Sustainability, MDPI, vol. 12(3), pages 1-18, January.
   7. Musibau, Hammed & Yanotti, Maria Belen & Nepal, Rabindra & Vespignani, Joaquin, 2021. "Environmental Performance in the West African Economy: MM-Quantile and 2SLS Approach," MPRA Paper 110627, University Library of Munich, Germany.
      • Musibau, Hammed & Yanotti, Maria & Vespignani, Joaquin & Rabindra, Nepal, 2021. "Environmental performance in the West African economy: MM-quantile and 2SLS approach," Working Papers 2021-05, University of Tasmania, Tasmanian School of Business and Economics.
   8. Elena Grimaccia & Alessia Naccarato, 2020. "Confirmatory factor analysis to validate a new measure of food insecurity: perceived and actual constructs," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1211-1232, August.
   9. Ahmed Raza Cheema & Adeel Saleem & Hubert Visas & Jabbar Ul-Haq, 2022. "Role of Education, Age, and Family Size on Food Insecurity in Pakistan: A Quantile Regression Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2576-2597, October.
   10. Hanna Dudek & Joanna Myszkowska-Ryciak, 2020. "The Prevalence and Socio-Demographic Correlates of Food Insecurity in Poland," IJERPH, MDPI, vol. 17(17), pages 1-16, August.

2. Naccarato, Alessia & Falorsi, Stefano & Loriga, Silvia & Pierini, Andrea, 2018. "Combining official and Google Trends data to forecast the Italian youth unemployment rate," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 114-122.

   Cited by:

   1. Gutiérrez, Antonio, 2023. "La brecha de género en el emprendimiento y la cultura emprendedora: Evidencia con Google Trends [Entrepreneurship gender gap and entrepreneurial culture: Evidence from Google Trends]," MPRA Paper 115876, University Library of Munich, Germany.
   2. Chi, Tsung-Li & Liu, Hung-Tsen & Chang, Chia-Chien, 2023. "Hedging performance using google Trends–Evidence from the indian forex options market," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 107-123.
   3. Zhongchen Song & Tom Coupé, 2022. "Predicting Chinese consumption series with Baidu," Working Papers in Economics 22/19, University of Canterbury, Department of Economics and Finance.
      • Zhongchen Song & Tom Coupé, 2023. "Predicting Chinese consumption series with Baidu," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 21(3), pages 429-463, July.
   4. Saakshi & Sohini Sahu & Siddhartha Chattopadhyay, 2020. "Epidemiology of inflation expectations and internet search: an analysis for India," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 649-671, July.
      • Jha, Saakshi & Sahu, Sohini & Chattopadhyay, Siddhartha, 2019. "Epidemiology of Inflation Expectations and Internet Search- An Analysis for India," MPRA Paper 92666, University Library of Munich, Germany.
   5. VAN DER WIELEN Wouter & BARRIOS Salvador, 2020. "Fear and Employment During the COVID Pandemic: Evidence from Search Behaviour in the EU," JRC Working Papers on Taxation & Structural Reforms 2020-08, Joint Research Centre.
      • van der Wielen, Wouter & Barrios, Salvador, 2021. "Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU," Journal of Economics and Business, Elsevier, vol. 115(C).
   6. Marcelo C. Medeiros & Henrique F. Pires, 2021. "The Proper Use of Google Trends in Forecasting Models," Papers 2104.03065, arXiv.org, revised Apr 2021.
   7. Urmat Dzhunkeev, 2022. "Forecasting Unemployment in Russia Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 73-87, March.
   8. Robin Niesert & Jochem Oorschot & Chris Veldhuisen & Kester Brons & Rutger-Jan Lange, "undated". "Can Google Search Data Help Predict Macroeconomic Series?," Tinbergen Institute Discussion Papers 19-021/III, Tinbergen Institute.
      • Niesert, Robin F. & Oorschot, Jochem A. & Veldhuisen, Christian P. & Brons, Kester & Lange, Rutger-Jan, 2020. "Can Google search data help predict macroeconomic series?," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1163-1172.
   9. Mihaela Simionescu & Dalia Streimikiene & Wadim Strielkowski, 2020. "What Does Google Trends Tell Us about the Impact of Brexit on the Unemployment Rate in the UK?," Sustainability, MDPI, vol. 12(3), pages 1-10, January.
   10. Caetano, Marco Antonio Leonel, 2021. "Political activity in social media induces forest fires in the Brazilian Amazon," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
   11. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
   12. Lorenzo Fratoni & Susanna Levantesi & Massimiliano Menzietti, 2022. "Measuring Financial Sustainability and Social Adequacy of the Italian NDC Pension System under the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(23), pages 1-23, December.
   13. Caterina Schiavoni & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2019. "A dynamic factor model approach to incorporate Big Data in state space models for official statistics," Papers 1901.11355, arXiv.org, revised Feb 2020.
       • Caterina Schiavoni & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2021. "A dynamic factor model approach to incorporate Big Data in state space models for official statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 324-353, January.
   14. Bodo Herzog & Lana dos Santos, 2021. "Google Search in Exchange Rate Models: Hype or Hope?," JRFM, MDPI, vol. 14(11), pages 1-40, October.
   15. Phi-Hung Nguyen & Jung-Fa Tsai & Ihsan Erdem Kayral & Ming-Hua Lin, 2021. "Unemployment Rates Forecasting with Grey-Based Models in the Post-COVID-19 Period: A Case Study from Vietnam," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
   16. Simionescu, Mihaela & Cifuentes-Faura, Javier, 2022. "Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 1-21.
   17. Simionescu, Mihaela & Raišienė, Agota Giedrė, 2021. "A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
   18. Mihaela, Simionescu, 2020. "Improving unemployment rate forecasts at regional level in Romania using Google Trends," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
   19. Andrea Fasulo & Alessia Naccarato & Alessio Pizzichini, 2019. "Nowcasting the Italian unemployment rate with Google Trends," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 73(4), pages 29-40, October-D.

3. Alessia Naccarato & Federico Benassi, 2018. "On the relationship between mean and variance of world's human population density: A study using Taylor's power law," Letters in Spatial and Resource Sciences, Springer, vol. 11(3), pages 307-314, October.

   Cited by:

   1. Meng Xu & Joel E Cohen, 2019. "Analyzing and interpreting spatial and temporal variability of the United States county population distributions using Taylor's law," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-25, December.

4. Saverio M. Fratini & Alessia Naccarato, 2016. "The Gravitation of Market Prices as A Stochastic Process," Metroeconomica, Wiley Blackwell, vol. 67(4), pages 698-716, November.
   • Saverio M. Fratini & Alessia Naccarato, 2014. "The Gravitation of Market Prices as a Stochastic Process," Departmental Working Papers of Economics - University 'Roma Tre' 0195, Department of Economics - University Roma Tre.
   See citations under working paper version above.
5. Luciano Pieraccini & Alessia Naccarato, 2008. "Least Orthogonal Distance Estimator of structural parameters in simultaneous equation models," Statistica, Department of Statistics, University of Bologna, vol. 68(3), pages 349-364.

   Cited by:

   1. Naccarato, Alessia & Zurlo, Davide & Pieraccini, Luciano, 2012. "Least Orthogonal Distance Estimator and Total Least Square," MPRA Paper 42365, University Library of Munich, Germany.

More information

Research fields, statistics, top rankings, if available.

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 6 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-GEO: Economic Geography (2) 2012-06-25 2013-10-25
2. NEP-ECM: Econometrics (1) 2012-11-11
3. NEP-FMK: Financial Markets (1) 2012-11-11
4. NEP-FOR: Forecasting (1) 2015-12-20
5. NEP-HME: Heterodox Microeconomics (1) 2015-01-09
6. NEP-URE: Urban and Real Estate Economics (1) 2013-10-25

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