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Monica Andini

Personal Details

First Name:Monica
Middle Name:
Last Name:Andini
Suffix:
RePEc Short-ID:pan560

Affiliation

Banca d'Italia

Roma, Italy
http://www.bancaditalia.it/



Via Nazionale, 91 - 00184 Roma
RePEc:edi:bdigvit (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Monica Andini & Michela Boldrini & Emanuele Ciani & Guido de Blasio & Alessio D'Ignazio & Andrea Paladini, 2019. "Machine learning in the service of policy targeting: the case of public credit guarantees," Temi di discussione (Economic working papers) 1206, Bank of Italy, Economic Research and International Relations Area.
  2. Monica Andini & Emanuele Ciani & Guido de Blasio & Alessio D'Ignazio & Viola Salvestrini, 2017. "Targeting policy-compliers with machine learning: an application to a tax rebate programme in Italy," Temi di discussione (Economic working papers) 1158, Bank of Italy, Economic Research and International Relations Area.
  3. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
  4. Guido de Blasio & Alberto Dalmazzo & Monica Andini, 2013. "The Size of Political Jurisdictions: Evidence from a Fascist Consolidation," ERSA conference papers ersa13p276, European Regional Science Association.
  5. Monica Andini & Guido de Blasio & Gilles Duranton & William C. Strange, 2013. "Marshallian labor market pooling: evidence from Italy," Temi di discussione (Economic working papers) 922, Bank of Italy, Economic Research and International Relations Area.
  6. Monica Andini & Guido de Blasio, 2013. "Local development that money can�t buy: Italy�s Contratti di Programma," Temi di discussione (Economic working papers) 915, Bank of Italy, Economic Research and International Relations Area.
  7. Monica Andini & Guido de Blasio, 2012. "Local Development that Money Can’t Buy: Italy’s Contratti di Programma," ERSA conference papers ersa12p464, European Regional Science Association.

Articles

  1. Corrado Andini & Monica Andini, 2019. "Social capital and growth: causal evidence from Italian municipalities," Journal of Economic Geography, Oxford University Press, vol. 19(3), pages 619-653.
  2. Andini, Monica & Ciani, Emanuele & de Blasio, Guido & D'Ignazio, Alessio & Salvestrini, Viola, 2018. "Targeting with machine learning: An application to a tax rebate program in Italy," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 86-102.
  3. Andini, Corrado & Andini, Monica, 2018. "Unemployment Persistence And Quantile Parameter Heterogeneity," Macroeconomic Dynamics, Cambridge University Press, vol. 22(5), pages 1298-1320, July.
  4. Andini, Monica & Dalmazzo, Alberto & de Blasio, Guido, 2017. "The size of political jurisdictions: A model with some evidence from a fascist consolidation," Journal of Comparative Economics, Elsevier, vol. 45(4), pages 889-909.
  5. Monica Andini & Guido de Blasio, 2016. "Local development that money cannot buy: Italy’s Contratti di Programma," Journal of Economic Geography, Oxford University Press, vol. 16(2), pages 365-393.
  6. Andini, Monica & Andini, Corrado, 2014. "Finance, growth and quantile parameter heterogeneity," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 308-322.
  7. Andini, Monica & de Blasio, Guido & Duranton, Gilles & Strange, William C., 2013. "Marshallian labour market pooling: Evidence from Italy," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 1008-1022.

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. Monica Andini & Michela Boldrini & Emanuele Ciani & Guido de Blasio & Alessio D'Ignazio & Andrea Paladini, 2019. "Machine learning in the service of policy targeting: the case of public credit guarantees," Temi di discussione (Economic working papers) 1206, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Emanuele Ciani & Marco Gallo & Zeno Rotondi, 2020. "Public credit guarantee and financial additionalities across SME risk classes," Temi di discussione (Economic working papers) 1265, Bank of Italy, Economic Research and International Relations Area.
    2. Guido de Blasio & Alessio D'Ignazio & Marco Letta, 2020. "Predicting Corruption Crimes with Machine Learning. A Study for the Italian Municipalities," Working Papers 16/20, Sapienza University of Rome, DISS.

  2. Monica Andini & Emanuele Ciani & Guido de Blasio & Alessio D'Ignazio & Viola Salvestrini, 2017. "Targeting policy-compliers with machine learning: an application to a tax rebate programme in Italy," Temi di discussione (Economic working papers) 1158, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Joseph, Andreas, 2019. "Parametric inference with universal function approximators," Bank of England working papers 784, Bank of England, revised 22 Jul 2020.
    2. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.
    3. Aiello, Francesco & Albanese, Giuseppe & Piselli, Paolo, 2019. "Good value for public money? The case of R&D policy," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1057-1076.

  3. Monica Andini & Guido de Blasio & Gilles Duranton & William C. Strange, 2013. "Marshallian labor market pooling: evidence from Italy," Temi di discussione (Economic working papers) 922, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Roberto BASILE & Cristiana DONATI & Rosanna PITTIGLIO, 2013. "Industry Structure And Employment Growth: Evidence From Semiparametric Geoadditive Models," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 121-160.
    2. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    3. Wolfgang Dauth & Sebastian Findeisen & Enrico Moretti & Jens Suedekum, 2018. "Matching in Cities," NBER Working Papers 25227, National Bureau of Economic Research, Inc.
    4. Tomoya Mori, 2017. "Agglomeration," KIER Working Papers 960, Kyoto University, Institute of Economic Research.
    5. Mäkinen, Taneli & Ohl, Björn, 2014. "Information acquisition and learning from prices over the business cycle," Research Discussion Papers 7/2014, Bank of Finland.
    6. Stockinger, Bastian & Zwick, Thomas, 2017. "Apprentice poaching in regional labor markets," IAB Discussion Paper 201708, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Monica Andini & Guido de Blasio & Gilles Duranton & William C. Strange, 2013. "Marshallian labor market pooling: evidence from Italy," Temi di discussione (Economic working papers) 922, Bank of Italy, Economic Research and International Relations Area.
    8. Marte C.W. Solheim & Ron Boschma & Sverre Herstad, 2018. "Related variety, unrelated variety and the novelty content of firm innovation in urban and non-urban locations," Papers in Evolutionary Economic Geography (PEEG) 1836, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2018.
    9. Lutgen, Vanessa & Van der Linden, Bruno, 2015. "Regional equilibrium unemployment theory at the age of the Internet," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 50-67.
    10. Michele Leonardo Bianchi & Frank J. Fabozzi & Svetlozar T. Rachev, 2014. "Calibrating the Italian smile with time-varying volatility and heavy-tailed models," Temi di discussione (Economic working papers) 944, Bank of Italy, Economic Research and International Relations Area.
    11. Eliasson, Kent & Westerlund, Olle, 2019. "Graduate migration, self-selection and urban wage premiums across the regional hierarchy," Umeå Economic Studies 962, Umeå University, Department of Economics.
    12. Yudai Higashi, 2020. "Urbanization Effects on Job Search Decision," Discussion Paper Series DP2020-26, Research Institute for Economics & Business Administration, Kobe University.
    13. Burger, Peter & Baumohl, Eduard & Vyrostova, Eva, 2017. "Funding Structure of the European and North American Clusters: Results from an Independent Questionnaire," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 485-504.
    14. Guangliang Yang & Lixing Li & Shihe Fu, 2020. "Do rural migrants benefit from labor market agglomeration economies? Evidence from Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(3), pages 910-931, September.
    15. Brunello, Giorgio & Langella, Monica, 2016. "Local agglomeration, entrepreneurship and the 2008 recession: Evidence from Italian industrial districts," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 104-114.
    16. Antonio Accetturo & Andrea Lamorgese & Sauro Mocetti & Paolo Sestito, 2019. "Local Development, Urban Economies and Aggregate Growth," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 5(2), pages 191-204, July.
    17. Rudiger Ahrend & Alexander Lembcke & Abel Schumann, 2017. "The Role of Urban Agglomerations for Economic and Productivity Growth," International Productivity Monitor, Centre for the Study of Living Standards, vol. 32, pages 161-179, Spring.
    18. Abel, Jaison R. & Deitz, Richard, 2015. "Agglomeration and job matching among college graduates," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 14-24.
    19. Solheim, Marte C.W. & Boschma, Ron & Herstad, Sverre J., 2020. "Collected worker experiences and the novelty content of innovation," Research Policy, Elsevier, vol. 49(1).
    20. Berlingieri, Francesco, 2017. "Local labor market size and qualification mismatch," ZEW Discussion Papers 17-055, ZEW - Leibniz Centre for European Economic Research.
    21. Gaigné, Carl & Sanch-Maritan, Mathieu, 2019. "City size and the risk of being unemployed. Job pooling vs. job competition," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 222-238.
    22. Yudai Higashi, 2021. "Agglomeration Effects on Job Matching Efficiency: Evidence from Japan," Discussion Paper Series DP2021-03, Research Institute for Economics & Business Administration, Kobe University.
    23. Taelim Choi, 2020. "Agglomeration Effect of Skill-Based Local Labor Pooling: Evidence of South Korea," Sustainability, MDPI, Open Access Journal, vol. 12(8), pages 1-15, April.
    24. Mathieu Sanch-Maritan & Lionel Védrine, 2019. "Are larger labor market more resilient? Evidence of the French army restructuring on exit from unemployment," Working Papers hal-02332809, HAL.
    25. Berlingieri, Francesco, 2015. "Local labour market size and qualification mismatch," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113102, Verein für Socialpolitik / German Economic Association.
    26. David Morris & Enrico Vanino & Carlo Corradini, 2020. "Effect of regional skill gaps and skill shortages on firm productivity," Environment and Planning A, , vol. 52(5), pages 933-952, August.

  4. Monica Andini & Guido de Blasio, 2013. "Local development that money can�t buy: Italy�s Contratti di Programma," Temi di discussione (Economic working papers) 915, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Barone, Guglielmo & Narciso, Gaia, 2015. "Organized crime and business subsidies: Where does the money go?," Journal of Urban Economics, Elsevier, vol. 86(C), pages 98-110.

  5. Monica Andini & Guido de Blasio, 2012. "Local Development that Money Can’t Buy: Italy’s Contratti di Programma," ERSA conference papers ersa12p464, European Regional Science Association.

    Cited by:

    1. Mara Giua, 2014. "Spatial Discontinuity for the Impact Assessment of the EU Regional Policy. The Case of Italian Objective 1 Regions," Departmental Working Papers of Economics - University 'Roma Tre' 0197, Department of Economics - University Roma Tre.

Articles

  1. Corrado Andini & Monica Andini, 2019. "Social capital and growth: causal evidence from Italian municipalities," Journal of Economic Geography, Oxford University Press, vol. 19(3), pages 619-653.

    Cited by:

    1. Mauro Caselli & Paolo Falco, 2019. "Your Vote is (no) Secret! How Low Voter Density Harms Voter Anonymity and Biases Elections in Italy," EconPol Working Paper 26, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Xindong Xue & W. Robert Reed, 2019. "Social Capital and Health: A Meta-Analysis," Working Papers in Economics 19/01, University of Canterbury, Department of Economics and Finance.

  2. Andini, Monica & Ciani, Emanuele & de Blasio, Guido & D'Ignazio, Alessio & Salvestrini, Viola, 2018. "Targeting with machine learning: An application to a tax rebate program in Italy," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 86-102.

    Cited by:

    1. Guido de Blasio & Alessio D'Ignazio & Marco Letta, 2020. "Predicting Corruption Crimes with Machine Learning. A Study for the Italian Municipalities," Working Papers 16/20, Sapienza University of Rome, DISS.
    2. Michael Allan Ribers & Hannes Ullrich, 2020. "Machine Predictions and Human Decisions with Variation in Payoffs and Skills," Discussion Papers of DIW Berlin 1911, DIW Berlin, German Institute for Economic Research.
    3. Altındağ, Onur & O'Connell, Stephen D. & Şaşmaz, Aytuğ & Balcıoğlu, Zeynep & Cadoni, Paola & Jerneck, Matilda & Foong, Aimee Kunze, 2021. "Targeting humanitarian aid using administrative data: Model design and validation," Journal of Development Economics, Elsevier, vol. 148(C).
    4. Michael J. Weir & Thomas W. Sproul, 2019. "Identifying Drivers of Genetically Modified Seafood Demand: Evidence from a Choice Experiment," Sustainability, MDPI, Open Access Journal, vol. 11(14), pages 1-21, July.
    5. Michael A. Ribers & Hannes Ullrich, 2019. "Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?," Discussion Papers of DIW Berlin 1803, DIW Berlin, German Institute for Economic Research.
    6. Cerqua, Augusto & Letta, Marco, 2020. "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper 104404, University Library of Munich, Germany.
    7. Monica Andini & Michela Boldrini & Emanuele Ciani & Guido de Blasio & Alessio D'Ignazio & Andrea Paladini, 2019. "Machine learning in the service of policy targeting: the case of public credit guarantees," Temi di discussione (Economic working papers) 1206, Bank of Italy, Economic Research and International Relations Area.

  3. Andini, Corrado & Andini, Monica, 2018. "Unemployment Persistence And Quantile Parameter Heterogeneity," Macroeconomic Dynamics, Cambridge University Press, vol. 22(5), pages 1298-1320, July.

    Cited by:

    1. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, Center for Economic and Financial Research (CEFIR).
    2. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, New Economic School (NES).

  4. Andini, Monica & Dalmazzo, Alberto & de Blasio, Guido, 2017. "The size of political jurisdictions: A model with some evidence from a fascist consolidation," Journal of Comparative Economics, Elsevier, vol. 45(4), pages 889-909.

    Cited by:

    1. Dalmazzo, Alberto & de Blasio, Guido & Poy, Samuele, 2018. "Local secessions, homophily, and growth. A model with some evidence from the regions of Abruzzo and Molise (Italy, 1963)," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 284-306.
    2. Blesse, Sebastian & Rösel, Felix, 2017. "Was bringen kommunale Gebietsreformen? Kausale Evidenz zu Hoffnungen, Risiken und alternativen Instrumenten," ZEW Discussion Papers 17-049, ZEW - Leibniz Centre for European Economic Research.
    3. Carlo Ciccarelli & Alberto Dalmazzo & Daniela Vuri, 2018. "Home Sweet Home: the Effect of Sugar Protectionism on Emigration in Italy, 1876-1913," CEIS Research Paper 437, Tor Vergata University, CEIS, revised 08 Jun 2018.
    4. Antonio Accetturo & Michele Cascarano & Guido de Blasio, 2019. "Pirate Attacks and the Shape of the Italian Urban System," DEM Working Papers 2019/15, Department of Economics and Management.
    5. Giulio Cainelli & Carlo Ciccarelli & Roberto Ganau, 2021. "Administrative reforms, urban hierarchy, and local population growth. Lessons from Italian unification," Papers in Evolutionary Economic Geography (PEEG) 2109, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2021.

  5. Monica Andini & Guido de Blasio, 2016. "Local development that money cannot buy: Italy’s Contratti di Programma," Journal of Economic Geography, Oxford University Press, vol. 16(2), pages 365-393.

    Cited by:

    1. Cerqua, Augusto & Pellegrini, Guido, 2018. "Local multipliers at work," MPRA Paper 85326, University Library of Munich, Germany.
    2. Albanese, Giuseppe & Ciani, Emanuele & de Blasio, Guido, 2021. "Anything new in town? The local effects of urban regeneration policies in Italy," Regional Science and Urban Economics, Elsevier, vol. 86(C).
    3. Guido De Blasio & Emanuele Ciani, 2015. "European Structural Funds During the Crisis: Evidence from Southern Italy," ERSA conference papers ersa15p435, European Regional Science Association.
    4. Emanuele Ciani & Francesco David & Guido de Blasio, 2017. "Local labour market heterogeneity in Italy: estimates and simulations using responses to labour demand shocks," Temi di discussione (Economic working papers) 1112, Bank of Italy, Economic Research and International Relations Area.
    5. Giuseppe Albanese & Guido de Blasio & Andrea Locatelli, 2019. "Place-based Policy and Local TFP," Temi di discussione (Economic working papers) 1253, Bank of Italy, Economic Research and International Relations Area.
    6. Augusto Cerqua & Guido Pellegrini, 2020. "Labor mobility effects of a firm-level shock," Working Papers 1/20, Sapienza University of Rome, DISS.
    7. Ciani, Emanuele & David, Francesco & de Blasio, Guido, 2019. "Local responses to labor demand shocks: A Re-assessment of the case of Italy," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 1-21.
    8. Annalisa Caloffi, 2017. "System-based, light and complex: industrial and local development policies in the thought of Giacomo Becattini," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(4), pages 473-480, December.

  6. Andini, Monica & Andini, Corrado, 2014. "Finance, growth and quantile parameter heterogeneity," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 308-322.

    Cited by:

    1. Mekki Hamdaoui & Samir Maktouf, 2019. "Overall effects of financial liberalization: financial crisis versus economic growth," International Review of Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 568-595, July.
    2. Durusu-Ciftci, Dilek & Ispir, M. Serdar & Yetkiner, Hakan, 2017. "Financial development and economic growth: Some theory and more evidence," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 290-306.
    3. Aida Caldera Sánchez & Oliver Röhn, 2016. "How do policies influence GDP tail risks?," OECD Economics Department Working Papers 1339, OECD Publishing.
    4. Bitar, Mohammad & Pukthuanthong, Kuntara & Walker, Thomas, 2020. "Efficiency in Islamic vs. conventional banking: The role of capital and liquidity," Global Finance Journal, Elsevier, vol. 46(C).
    5. Neil Lee & Davide Luca, 2019. "The big-city bias in access to finance: evidence from firm perceptions in almost 100 countries," Journal of Economic Geography, Oxford University Press, vol. 19(1), pages 199-224.
    6. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, Center for Economic and Financial Research (CEFIR).
    7. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
    8. Jenq-Tzong Shiau & Jia-Wei Lin, 2016. "Clustering Quantile Regression-Based Drought Trends in Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1053-1069, February.
    9. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, New Economic School (NES).

  7. Andini, Monica & de Blasio, Guido & Duranton, Gilles & Strange, William C., 2013. "Marshallian labour market pooling: Evidence from Italy," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 1008-1022.
    See citations under working paper version above.

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 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (2) 2018-01-08 2019-02-18. Author is listed
  2. NEP-CMP: Computational Economics (2) 2018-01-08 2019-02-18. Author is listed
  3. NEP-LAB: Labour Economics (2) 2013-07-20 2015-02-22. Author is listed
  4. NEP-URE: Urban & Real Estate Economics (2) 2013-06-16 2013-07-20. Author is listed
  5. NEP-EUR: Microeconomic European Issues (1) 2013-07-20
  6. NEP-LMA: Labor Markets - Supply, Demand, & Wages (1) 2013-07-20
  7. NEP-PPM: Project, Program & Portfolio Management (1) 2013-06-16

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