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Leonardo Grilli

Personal Details

First Name:Leonardo
Middle Name:
Last Name:Grilli
Suffix:
RePEc Short-ID:pgr200
http://local.disia.unifi.it/grilli/
Terminal Degree:2000 Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti"; Università degli Studi di Firenze (from RePEc Genealogy)

Affiliation

Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti"
Università degli Studi di Firenze

Firenze, Italy
http://www.disia.unifi.it/

: +39 055 2751557
+39 055 4223560
Viale G.B. Morgagni 59, 50134 Firenze
RePEc:edi:dsfirit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Bartolucci, Francesco & Grilli, Leonardo & Pieroni, Luca, 2012. "Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator," MPRA Paper 43430, University Library of Munich, Germany.
  2. F. Francavilla & Gianna Claudia Giannelli & Leonardo Grilli, 2010. "Mothers’ Employment and their Children’s Schooling: a Joint Multilevel Analysis for India," Working Papers - Economics wp2010_07.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  3. Francavilla, Francesca & Giannelli, Gianna Claudia & Grilli, Leonardo, 2008. "School Attendance of Children and the Work of Mothers: A Joint Multilevel Model for India," IZA Discussion Papers 3531, Institute for the Study of Labor (IZA).

Articles

  1. Abramo, Giovanni & D’Angelo, Andrea Ciriaco & Grilli, Leonardo, 2016. "From rankings to funnel plots: The question of accounting for uncertainty when assessing university research performance," Journal of Informetrics, Elsevier, vol. 10(3), pages 854-862.
  2. Mauro, Vincenzo & Biggeri, Mario & Grilli, Leonardo, 2015. "Does Community-Based Rehabilitation Enhance the Multidimensional Well-Being of Deprived Persons With Disabilities? A Multilevel Impact Evaluation," World Development, Elsevier, vol. 76(C), pages 190-202.
  3. Leonardo Grilli & Carla Rampichini, 2015. "Specification of random effects in multilevel models: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 967-976, May.
  4. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Grilli, Leonardo, 2015. "Funnel plots for visualizing uncertainty in the research performance of institutions," Journal of Informetrics, Elsevier, vol. 9(4), pages 954-961.
  5. Leonardo Grilli & Maria Iannario & Domenico Piccolo & Carla Rampichini, 2014. "Latent class CUB models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(1), pages 105-119, March.
  6. Francavilla, Francesca & Giannelli, Gianna Claudia & Grilli, Leonardo, 2013. "Mothers’ Employment and their Children’s Schooling: A Joint Multilevel Analysis for India," World Development, Elsevier, vol. 41(C), pages 183-195.
  7. Visca, Modesta & Donatini, Andrea & Gini, Rosa & Federico, Bruno & Damiani, Gianfranco & Francesconi, Paolo & Grilli, Leonardo & Rampichini, Carla & Lapini, Gabriele & Zocchetti, Carlo & Di Stanislao,, 2013. "Group versus single handed primary care: A performance evaluation of the care delivered to chronic patients by Italian GPs," Health Policy, Elsevier, vol. 113(1), pages 188-198.
  8. Bartolucci, Francesco & Grilli, Leonardo, 2011. "Modeling Partial Compliance Through Copulas in a Principal Stratification Framework," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 469-479.
  9. Leonardo Grilli & Carla Rampichini, 2010. "Selection bias in linear mixed models," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 309-329.
  10. Leonardo Grilli & Fabrizia Mealli, 2008. "Nonparametric Bounds on the Causal Effect of University Studies on Job Opportunities Using Principal Stratification," Journal of Educational and Behavioral Statistics, , vol. 33(1), pages 111-130, March.
  11. Leonardo Grilli & Carla Rampichini, 2007. "A multilevel multinomial logit model for the analysis of graduates’ skills," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(3), pages 381-393, November.
  12. Maria Rita Testa & Leonardo Grilli, 2006. "L'influence des différences de fécondité dans les régions européennes sur la taille idéale de la famille," Population (french edition), Institut National d'Études Démographiques (INED), vol. 61(1), pages 107-137.
  13. Leonardo Grilli, 2005. "The random-effects proportional hazards model with grouped survival data: a comparison between the grouped continuous and continuation ratio versions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 83-94.
  14. Carla Rampichini & Leonardo Grilli & Alessandra Petrucci, 2004. "Analysis of university course evaluations: from descriptive measures to multilevel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 13(3), pages 357-373, December.
  15. Leonardo Grilli & Carla Rampichini, 2003. "Alternative Specifications of Multivariate Multilevel Probit Ordinal Response Models," Journal of Educational and Behavioral Statistics, , vol. 28(1), pages 31-44, March.
  16. L. Biggeri & M. Bini & L. Grilli, 2001. "The transition from university to work: a multilevel approach to the analysis of the time to obtain the first job," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 293-305.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. F. Francavilla & Gianna Claudia Giannelli & Leonardo Grilli, 2010. "Mothers’ Employment and their Children’s Schooling: a Joint Multilevel Analysis for India," Working Papers - Economics wp2010_07.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

    Cited by:

    1. Cho, Sungju & Lee, Sanghyeon, 2016. "Multilevel Analysis On Mother’S Nutrition Label Use And Children’S Propensity For Being Overweight," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 39(December), December.
    2. Ali Reza Oryoie & Jeffrey Alwang & Nicolaus Tideman, 2016. "Child labor and household land holding: Theory and empirical evidence from Zimbabwe," Working Papers e07-51, Virginia Polytechnic Institute and State University, Department of Economics.
    3. Kpadonou, Rivaldo & Barbier, Bruno & Denton, Fatima & Owiyo, Tom, 2015. "Linkage between and determinants of organic fertilizer and modern varieties adoption in the Sahel," 2015 Conference, August 9-14, 2015, Milan, Italy 212016, International Association of Agricultural Economists.
    4. Mauro, Vincenzo & Biggeri, Mario & Grilli, Leonardo, 2015. "Does Community-Based Rehabilitation Enhance the Multidimensional Well-Being of Deprived Persons With Disabilities? A Multilevel Impact Evaluation," World Development, Elsevier, vol. 76(C), pages 190-202.

Articles

  1. Leonardo Grilli & Carla Rampichini, 2015. "Specification of random effects in multilevel models: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 967-976, May.

    Cited by:

    1. Shun Yu & Xianzheng Huang, 2017. "Random-intercept misspecification in generalized linear mixed models for binary responses," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 333-359, August.

  2. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Grilli, Leonardo, 2015. "Funnel plots for visualizing uncertainty in the research performance of institutions," Journal of Informetrics, Elsevier, vol. 9(4), pages 954-961.

    Cited by:

    1. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Rosati, Francesco, 2016. "A methodology to measure the effectiveness of academic recruitment and turnover," Journal of Informetrics, Elsevier, vol. 10(1), pages 31-42.
    2. Abramo, Giovanni & D’Angelo, Andrea Ciriaco & Grilli, Leonardo, 2016. "From rankings to funnel plots: The question of accounting for uncertainty when assessing university research performance," Journal of Informetrics, Elsevier, vol. 10(3), pages 854-862.

  3. Leonardo Grilli & Maria Iannario & Domenico Piccolo & Carla Rampichini, 2014. "Latent class CUB models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(1), pages 105-119, March.

    Cited by:

    1. Gerhard Tutz & Micha Schneider & Maria Iannario & Domenico Piccolo, 2017. "Mixture models for ordinal responses to account for uncertainty of choice," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(2), pages 281-305, June.
    2. Marica Manisera & Paola Zuccolotto, 2016. "Treatment of ‘don’t know’ responses in a mixture model for rating data," METRON, Springer;Sapienza Università di Roma, vol. 74(1), pages 99-115, April.
    3. Anna Gottard & Maria Iannario & Domenico Piccolo, 2016. "Varying uncertainty in CUB models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 225-244, June.

  4. Francavilla, Francesca & Giannelli, Gianna Claudia & Grilli, Leonardo, 2013. "Mothers’ Employment and their Children’s Schooling: A Joint Multilevel Analysis for India," World Development, Elsevier, vol. 41(C), pages 183-195.
    See citations under working paper version above.
  5. Visca, Modesta & Donatini, Andrea & Gini, Rosa & Federico, Bruno & Damiani, Gianfranco & Francesconi, Paolo & Grilli, Leonardo & Rampichini, Carla & Lapini, Gabriele & Zocchetti, Carlo & Di Stanislao,, 2013. "Group versus single handed primary care: A performance evaluation of the care delivered to chronic patients by Italian GPs," Health Policy, Elsevier, vol. 113(1), pages 188-198.

    Cited by:

    1. Livio Garattini & Alessandro Curto & Nick Freemantle, 2016. "Access to primary care in Italy: time for a shake-up?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(2), pages 113-116, March.
    2. Buja, Alessandra & Toffanin, Roberto & Rigon, Stefano & Sandonà, Paolo & Carraro, Daniela & Damiani, Gianfranco & Baldo, Vincenzo, 2015. "Out-of-hours primary care services: Demands and patient referral patterns in a Veneto region (Italy) Local Health Authority," Health Policy, Elsevier, vol. 119(4), pages 437-446.
    3. Sara Barsanti & Manila Bonciani & Federico Vola & Luca Pirisi, 2016. "Innovatori, indecisi, bisognosi o autonomi. I medici di medicina generale tra integrazione e accountability," MECOSAN. Menagement e economia sanitaria, FrancoAngeli Editore, vol. 2016(98), pages 9-39.
    4. Ugolini, Cristina & Lippi Bruni, Matteo & Mammi, Irene & Donatini, Andrea & Fiorentini, Gianluca, 2016. "Dealing with minor illnesses: The link between primary care characteristics and Walk-in Centres’ attendances," Health Policy, Elsevier, vol. 120(1), pages 72-80.

  6. Bartolucci, Francesco & Grilli, Leonardo, 2011. "Modeling Partial Compliance Through Copulas in a Principal Stratification Framework," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 469-479.

    Cited by:

    1. von Hinke, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2016. "Genetic markers as instrumental variables," Journal of Health Economics, Elsevier, vol. 45(C), pages 131-148.
    2. Corwin M. Zigler & Thomas R. Belin, 2012. "A Bayesian Approach to Improved Estimation of Causal Effect Predictiveness for a Principal Surrogate Endpoint," Biometrics, The International Biometric Society, vol. 68(3), pages 922-932, September.

  7. Leonardo Grilli & Carla Rampichini, 2010. "Selection bias in linear mixed models," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 309-329.

    Cited by:

    1. Leonardo Grilli & Carla Rampichini, 2010. "Selection bias in linear mixed models," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 309-329.

  8. Leonardo Grilli & Fabrizia Mealli, 2008. "Nonparametric Bounds on the Causal Effect of University Studies on Job Opportunities Using Principal Stratification," Journal of Educational and Behavioral Statistics, , vol. 33(1), pages 111-130, March.

    Cited by:

    1. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    2. Dustin M. Long & Michael G. Hudgens, 2013. "Sharpening Bounds on Principal Effects with Covariates," Biometrics, The International Biometric Society, vol. 69(4), pages 812-819, December.
    3. Montserrat Hernández-LÓPEZ & José Juan Cáceres-HERNÁNDEZ, 2016. "Forecasting The Composition Of Demand For Higher Education Degrees By Genetic Algorithms," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 153-172.
    4. Andrea Mercatanti & Fan Li, 2017. "Do debit cards decrease cash demand?: causal inference and sensitivity analysis using principal stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 759-776, August.

  9. Leonardo Grilli & Carla Rampichini, 2007. "A multilevel multinomial logit model for the analysis of graduates’ skills," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(3), pages 381-393, November.

    Cited by:

    1. Arbués, Pelayo & Baños, José F. & Mayor, Matías & Suárez, Patricia, 2016. "Determinants of ground transport modal choice in long-distance trips in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 131-143.
    2. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
    3. Agnieszka Chlon-Dominczak & Andrzej Zurawski, 2017. "Measuring skills mismatches revisited – introducing sectoral approach," IBS Working Papers 03/2017, Instytut Badan Strukturalnych.
    4. Bottia, Martha Cecilia & Stearns, Elizabeth & Mickelson, Roslyn Arlin & Moller, Stephanie & Valentino, Lauren, 2015. "Growing the roots of STEM majors: Female math and science high school faculty and the participation of students in STEM," Economics of Education Review, Elsevier, vol. 45(C), pages 14-27.
    5. Leonardo Grilli & Carla Rampichini, 2010. "Selection bias in linear mixed models," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 309-329.
    6. Börner, Jan & Shively, Gerald E. & Wunder, Sven & Wyman, Miriam, 2012. "How do rural households respond to economic shocks? Insights from hierarchical analysis using global data," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126143, International Association of Agricultural Economists.

  10. Leonardo Grilli, 2005. "The random-effects proportional hazards model with grouped survival data: a comparison between the grouped continuous and continuation ratio versions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 83-94.

    Cited by:

    1. Alexander Ahammer & Stefan Kranzinger, 2017. "Poverty in Times of Crisis," Economics working papers 2017-03, Department of Economics, Johannes Kepler University Linz, Austria.
    2. Guillaume Horny & Rute Mendes & Gerard J. van den Berg, 2012. "Job Durations With Worker- and Firm-Specific Effects: MCMC Estimation With Longitudinal Employer--Employee Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 468-480, March.
    3. Hee-Koung Joeng & Ming-Hui Chen & Sangwook Kang, 2016. "Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(1), pages 38-62, January.
    4. Ohinata, Asako, 2008. "Fertility Response to Financial Incentives-Evidence from the Working Families Tax Credit in the UK," The Warwick Economics Research Paper Series (TWERPS) 851, University of Warwick, Department of Economics.
    5. Guillaume Horny & Rute Mendes & Gerard J. Van den Berg, 2006. "Job mobility in Portugal: a Bayesian study with matched worker-firm data," Working Papers of BETA 2006-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Ambrogi, Federico & Biganzoli, Elia & Boracchi, Patrizia, 2009. "Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2767-2779, May.

  11. Carla Rampichini & Leonardo Grilli & Alessandra Petrucci, 2004. "Analysis of university course evaluations: from descriptive measures to multilevel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 13(3), pages 357-373, December.

    Cited by:

    1. Michele La Rocca & Maria Lucia Parrella & Ilaria Primerano & Isabella Sulis & Maria Prosperina Vitale, 2017. "An integrated strategy for the analysis of student evaluation of teaching: from descriptive measures to explanatory models," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 675-691, March.
    2. Pier Ferrari & Laura Pagani & Carlo Fiorio, 2011. "A Two-Step Approach to Analyze Satisfaction Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(3), pages 545-554, December.
    3. Bruno ARPINO & Roberta VARRIALE, 2010. "Assessing The Quality Of Institutions’ Rankings Obtained Through Multilevel Linear Regression Models," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(1(11)_Spr), pages 7-22.
    4. Bruno Arpino & Roberta Varriale, 2009. "Assessing the quality of institutions' rankings obtained through multilevel linear regression models," Working Papers 019, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    5. Isabella Sulis & Mariano Porcu, 2012. "Comparing degree programs from students’ assessments: A LCRA-based adjusted composite indicator," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(2), pages 193-209, June.

  12. Leonardo Grilli & Carla Rampichini, 2003. "Alternative Specifications of Multivariate Multilevel Probit Ordinal Response Models," Journal of Educational and Behavioral Statistics, , vol. 28(1), pages 31-44, March.

    Cited by:

    1. Yu, Li & Orazem, Peter, 2011. "O-Ring Production on U.S. Hog Farms: Joint Choices of Farm Size, Technology, and Compensation," Staff General Research Papers Archive 12992, Iowa State University, Department of Economics.
    2. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
    3. Pier Ferrari & Laura Pagani & Carlo Fiorio, 2011. "A Two-Step Approach to Analyze Satisfaction Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(3), pages 545-554, December.
    4. Leonardo Grilli & Carla Rampichini, 2007. "A multilevel multinomial logit model for the analysis of graduates’ skills," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(3), pages 381-393, November.
    5. Yu, Li, 2008. "Three essays on technology adoption, firm size, wages and human capital," ISU General Staff Papers 2008010108000016715, Iowa State University, Department of Economics.

  13. L. Biggeri & M. Bini & L. Grilli, 2001. "The transition from university to work: a multilevel approach to the analysis of the time to obtain the first job," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 293-305.

    Cited by:

    1. Luis Sagaon TEYSSIER & Nawal ZAAJ, 2015. "Hazard analysis for interval-censored duration of non-employment: school-to-work transition of vocational training graduates in Morocco," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 15(2), pages 161-178.
    2. Enrico Marelli & Dario Sciulli & Marcello Signorelli, 2014. "Skill Mismatch of Graduates in a Local Labour Market," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 181-194.
    3. G. Boero & T. Laureti & R. Naylor, 2005. "An econometric analysis of student withdrawal and progression in post-reform Italian Universities," Working Paper CRENoS 200504, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Eleonora Bertoni & Giorgio Ricchiuti, 2017. "A Multilevel Analysis of Unemployment in Egypt," LABOUR, CEIS, vol. 31(4), pages 494-514, December.
    5. Patrizia Ordine & Giuseppe Rose, 2011. "Educational Mismatch and Wait Unemployment," Working Papers 19, AlmaLaurea Inter-University Consortium.
    6. Buonanno, Paolo & Pozzoli, Dario, 2008. "Early Labour Market Returns to College Subjects," Working Papers 08-10, University of Aarhus, Aarhus School of Business, Department of Economics.
    7. Gabriele BALLARINO & Massimiliano BRATTI, 2006. "Fields of study and graduates’ occupational outcomes in Italy during the 90s. Who won and who lost?," Departmental Working Papers 2006-17, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    8. Maria Cristiana Martini & Luigi Fabbris, 2017. "Beyond Employment Rate: A Multidimensional Indicator of Higher Education Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 351-370, January.
    9. Montserrat Hernández-LÓPEZ & José Juan Cáceres-HERNÁNDEZ, 2016. "Forecasting The Composition Of Demand For Higher Education Degrees By Genetic Algorithms," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 153-172.
    10. Cerulli-Harms, Annette, 2017. "Generation Internship: The Impact of Internships on Early Labour Market Performance," IZA Discussion Papers 11163, Institute for the Study of Labor (IZA).
    11. Hee-Koung Joeng & Ming-Hui Chen & Sangwook Kang, 2016. "Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(1), pages 38-62, January.
    12. Santos, Miguel, 2010. "From Training to Labour Market. Holocletic Model," MPRA Paper 26617, University Library of Munich, Germany.
    13. Guillaume Horny & Rute Mendes & Gerard J. Van den Berg, 2006. "Job mobility in Portugal: a Bayesian study with matched worker-firm data," Working Papers of BETA 2006-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    14. Dijk, J. van & Broersma, L. & Edzes, A.J.E. & Venhorst, V.A, 2011. "Brain drain of brain gain? Hoger opgeleiden in grote steden in Nederland," Research Reports vavenhorst, University of Groningen, Urban and Regional Studies Institute (URSI).
    15. Dario Pozzoli, 2009. "The Transition to Work for Italian University Graduates," LABOUR, CEIS, vol. 23(1), pages 131-169, March.
    16. Daša Farcnik & Polona Domadenik, 2012. "Has the Bologna reform enhanced the employability of graduates? Early evidence from Slovenia," International Journal of Manpower, Emerald Group Publishing, vol. 33(1), pages 51-75, March.
    17. Patrizia Luongo, 2010. "Inequality of Opportunity in the Labour Market Entry of Graduates in Italy," SERIES 0030, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised May 2010.
    18. Simona Iammarino & Elisabetta Marinelli, 2012. "Education-Job (Mis)Matching And Interregional Migration: Italian University Graduates’ Transition To Work," Working Papers 8, Birkbeck Centre for Innovation Management Research, revised Sep 2012.

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 3 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-CWA: Central & Western Asia (2) 2008-07-14 2010-06-04
  2. NEP-DEV: Development (2) 2008-07-14 2010-06-04
  3. NEP-LAB: Labour Economics (2) 2008-07-14 2010-06-04
  4. NEP-ECM: Econometrics (1) 2013-01-12
  5. NEP-EDU: Education (1) 2010-06-04
  6. NEP-URE: Urban & Real Estate Economics (1) 2010-06-04

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