Leonardo Grilli

Personal Details

First Name:	Leonardo
Middle Name:
Last Name:	Grilli
Suffix:
RePEc Short-ID:	pgr200
	[This author has chosen not to make the email address public]
	https://www.unifi.it/p-doc2-0-0-A-3f2a3d313b2d2b.html
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/
RePEc:edi:dsfirit (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. Giovanni Abramo & Ciriaco Andrea D'Angelo & Leonardo Grilli, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Papers 2102.05358, arXiv.org.
   • Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Grilli, Leonardo, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Journal of Informetrics, Elsevier, vol. 15(4).

   Cited by:

   1. Giovanni Abramo & Ciriaco Andrea D’Angelo & Myroslava Hladchenko, 2023. "Assessing the effects of publication requirements for professorship on research performance and publishing behaviour of Ukrainian academics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4589-4609, August.
   2. Robert A. Buckle & John Creedy, 2022. "Methods to evaluate institutional responses to performance‐based research funding systems," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 615-634, September.
   3. Timur Gareev & Irina Peker, 2023. "Quantity versus quality in publication activity: knowledge production at the regional level," Papers 2311.08830, arXiv.org.

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.
   • 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.

   Cited by:

   1. Masiya, Michael & Mussa, Richard, 2012. "Child labour And Schooling in Malawi: Does Mother's Employment Matter?," MPRA Paper 111858, University Library of Munich, Germany, revised 2015.
   2. Rivaldo A. B. Kpadonou & Bruno Barbier & Tom Owiyo & Fatima Denton & Franck Rutabingwa, 2019. "Manure and adoption of modern seeds in cereal‐based systems in West African drylands: linkages and (non)complementarities," Natural Resources Forum, Blackwell Publishing, vol. 43(1), pages 41-55, February.
   3. 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(Special, ), pages 1-24, December.
   4. Oryoie, Ali Reza & Alwang, Jeffrey & Tideman, Nicolaus, 2017. "Child Labor and Household Land Holding: Theory and Empirical Evidence from Zimbabwe," World Development, Elsevier, vol. 100(C), pages 45-58.
   5. 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.
   6. 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. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Grilli, Leonardo, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Journal of Informetrics, Elsevier, vol. 15(4).
   • Giovanni Abramo & Ciriaco Andrea D'Angelo & Leonardo Grilli, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Papers 2102.05358, arXiv.org.
   See citations under working paper version above.
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.

   Cited by:

   1. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
   2. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
   3. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Soldatenkova, Anastasiia, 2016. "The ratio of top scientists to the academic staff as an indicator of the competitive strength of universities," Journal of Informetrics, Elsevier, vol. 10(2), pages 596-605.

3. 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.

   Cited by:

   1. Mai, Nhat Chi, 2017. "Social work and a Community-based Rehabilitation Program for People with Disabilities in Vietnam," OSF Preprints rm2sq, Center for Open Science.
   2. Jean-Francois Trani & Kyle A. Pitzer & Juanita Vasquez Escallon & Parul Bakhshi, 2022. "Access to Services from Persons with Disabilities in Afghanistan: Is Community Based Rehabilitation Making a Difference?," IJERPH, MDPI, vol. 19(10), pages 1-26, May.
   3. Marco Bellucci & Carmela Nitti & Chiara Chimirri & Luca Bagnoli, 2019. "Rendicontare l?impatto sociale. Metodologie, indicatori e tre casi di sperimentazione in Toscana," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2019(3), pages 166-187.
   4. Bellucci, Marco & Biggeri, Mario & Nitti, Carmela & Terenzi, Linda, 2023. "Accounting for disability and work inclusion in tourism," Annals of Tourism Research, Elsevier, vol. 98(C).

4. Leonardo Grilli & Carla Rampichini & Roberta Varriale, 2015. "Binomial Mixture Modeling of University Credits," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(22), pages 4866-4879, November.

   Cited by:

   1. Hildete P. Pinheiro & Pranab K. Sen & Aluísio Pinheiro & Samara F. Kiihl, 2020. "A nonparametric approach to assess undergraduate performance," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(4), pages 538-558, November.
   2. Rosaria Simone, 2022. "On finite mixtures of Discretized Beta model for ordered responses," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(3), pages 828-855, September.

5. 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. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
   2. Shuwen Hu & You-Gan Wang & Christopher Drovandi & Taoyun Cao, 2023. "Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 681-711, June.
   3. Umm e Hanni & Toshiyuki Yamamoto & Toshiyuki Nakamura, 2024. "Modeling of the Acceptable Waiting Time for EV Charging in Japan," Sustainability, MDPI, vol. 16(6), pages 1-18, March.
   4. 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.
   5. Francis K. C. Hui & Samuel Müller & Alan H. Welsh, 2021. "Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models," International Statistical Review, International Statistical Institute, vol. 89(1), pages 186-206, April.
   6. Sandra De Iaco & Sabrina Maggio, 2022. "Using multilevel models to evaluate the attitude of separate waste collection in young people," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 77-95, April.

6. 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, 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. 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.

7. 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. Manisera, Marica & Zuccolotto, Paola, 2015. "Identifiability of a model for discrete frequency distributions with a multidimensional parameter space," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 302-316.
   2. Domenico Piccolo & Rosaria Simone, 2019. "The class of cub models: statistical foundations, inferential issues and empirical evidence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 389-435, September.
   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. Maurizio Carpita & Enrico Ciavolino & Mariangela Nitti, 2019. "The MIMIC–CUB Model for the Prediction of the Economic Public Opinions in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 287-305, November.
   5. Domenico Piccolo & Rosaria Simone, 2019. "Rejoinder to the discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence”," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 477-493, September.
   6. 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.
   7. Manisera, Marica & Zuccolotto, Paola, 2014. "Modeling rating data with Nonlinear CUB models," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 100-118.
   8. Maria Iannario & Marica Manisera & Domenico Piccolo & Paola Zuccolotto, 2020. "Ordinal Data Models for No-Opinion Responses in Attitude Survey," Sociological Methods & Research, , vol. 49(1), pages 250-276, February.

8. 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.
   • 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.
   See citations under working paper version above.
9. 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, FrancoAngeli Editore, vol. 2016(98), pages 9-39.
   4. Mauro, Marianna & Giancotti, Monica, 2023. "The 2022 primary care reform in Italy: Improving continuity and reducing regional disparities?," Health Policy, Elsevier, vol. 135(C).
   5. 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.

10. 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. Shuxi Zeng & Fan Li & Peng Ding, 2020. "Is being an only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's One-Child Policy," Papers 2005.09130, arXiv.org, revised Jun 2020.
    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.
    3. Laura Forastiere & Fabrizia Mealli & Tyler J. VanderWeele, 2016. "Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets Using Bayesian Principal Stratification," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 510-525, April.
    4. Fan Yang & Peng Ding, 2018. "Using survival information in truncation by death problems without the monotonicity assumption," Biometrics, The International Biometric Society, vol. 74(4), pages 1232-1239, December.
    5. 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.
       • Stephanie von Hinke Kessler Scholder & George Davey Smith & Debbie A. Lawlor & Carol Propper & Frank Windmeijer, 2011. "Genetic Markers as Instrumental Variables," The Centre for Market and Public Organisation 11/274, The Centre for Market and Public Organisation, University of Bristol, UK.
    6. Torben Martinussen & Stijn Vansteelandt & Per Kragh Andersen, 2020. "Subtleties in the interpretation of hazard contrasts," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(4), pages 833-855, October.
    7. Shuxi Zeng & Fan Li & Peng Ding, 2020. "Is being an only child harmful to psychological health?: evidence from an instrumental variable analysis of China's one‐child policy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1615-1635, October.

11. 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. Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert Bijwaard & L. H. Lumey, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," Working Papers 2021-056, Human Capital and Economic Opportunity Working Group.
       • Conti, Gabriella & Poupakis, Stavros & Ekamper, Peter & Bijwaard, Govert & Lumey, Lambert H., 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," IZA Discussion Papers 14789, Institute of Labor Economics (IZA).
       • Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert E. Bijwaard & L.H. Lumey, 2021. "Severe prenatal shocks and adolescent health: evidence from the Dutch hunger winter," IFS Working Papers W21/36, Institute for Fiscal Studies.
       • Conti, Gabriella & Lumey, L.H. & , & Ekamper, Peter & Poupakis, Stavros, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," CEPR Discussion Papers 16633, C.E.P.R. Discussion Papers.
    2. Hajime Seya & Junyi Zhang & Makoto Chikaraishi & Ying Jiang, 2020. "Decisions on truck parking place and time on expressways: an analysis using digital tachograph data," Transportation, Springer, vol. 47(2), pages 555-583, April.
    3. GwanSeon Kim & Jun Ho Seok & Tyler B. Mark, 2018. "New Market Opportunities and Consumer Heterogeneity in the U.S. Organic Food Market," Sustainability, MDPI, vol. 10(9), pages 1-17, September.

12. 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. Cavalletti, Barbara & Corsi, Matteo & Persico, Luca & di Bella, Enrico, 2021. "Public university orientation for high-school students. A quasi-experimental assessment of the efficiency gains from nudging better career choices," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    2. 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.
       • Huber, Martin & Mellace, Giovanni, 2011. "Sharp bounds on causal effects under sample selection," Economics Working Paper Series 1134, University of St. Gallen, School of Economics and Political Science.
    3. Kaitlin Anderson & Gema Zamarro & Jennifer Steele & Trey Miller, 2021. "Comparing Performance of Methods to Deal With Differential Attrition in Randomized Experimental Evaluations," Evaluation Review, , vol. 45(1-2), pages 70-104, February.
    4. Fabrizia Mealli & Barbara Pacini & Elena Stanghellini, 2016. "Identification of Principal Causal Effects Using Additional Outcomes in Concentration Graphs," Journal of Educational and Behavioral Statistics, , vol. 41(5), pages 463-480, October.
    5. Shanshan Luo & Wei Li & Yangbo He, 2023. "Causal inference with outcomes truncated by death in multiarm studies," Biometrics, The International Biometric Society, vol. 79(1), pages 502-513, March.
    6. Jiannan Lu & Peng Ding & Tirthankar Dasgupta, 2018. "Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds," Journal of Educational and Behavioral Statistics, , vol. 43(5), pages 540-567, October.
    7. 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.
    8. Sandra De Iaco & Sabrina Maggio & Donato Posa, 2019. "A Multilevel Multinomial Model for the Dynamics of Graduates Employment in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 149-168, November.
    9. Avi Feller & Fabrizia Mealli & Luke Miratrix, 2017. "Principal Score Methods: Assumptions, Extensions, and Practical Considerations," Journal of Educational and Behavioral Statistics, , vol. 42(6), pages 726-758, December.
    10. Jiannan Lu & Yunshu Zhang & Peng Ding, 2020. "Sharp bounds on the relative treatment effect for ordinal outcomes," Biometrics, The International Biometric Society, vol. 76(2), pages 664-669, June.
    11. 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.
    12. 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.
    13. Kédagni, Désiré, 2023. "Identifying treatment effects in the presence of confounded types," Journal of Econometrics, Elsevier, vol. 234(2), pages 479-511.

13. 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. F. Cugnata & G. Perucca & S. Salini, 2017. "Bayesian networks and the assessment of universities' value added," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(10), pages 1785-1806, July.
    2. Rui Colaço & João de Abreu e Silva, 2023. "Exploring the role of accessibility in shaping retail location using space syntax measures: A panel-data analysis in Lisbon, 1995–2010," Environment and Planning B, , vol. 50(5), pages 1345-1360, June.
    3. 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.
    4. González, Pelayo & Baños, José F. & Mayor, Matías & Suárez, Patricia, 2013. "Determinants of ground transport modal choice in long-distance trips in Spain," Efficiency Series Papers 2013/07, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
       • 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.
    5. Wenjia Zhang & Ming Zhang, 2018. "Incorporating land use and pricing policies for reducing car dependence: Analytical framework and empirical evidence," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 3012-3033, October.
    6. Mulcahy, Patrick & Mahal, Ajay & McPake, Barbara & Kane, Sumit & Ghosh, Prabir Kumar & Lee, John Tayu, 2021. "Is there an association between public spending on health and choice of healthcare providers across socioeconomic groups in India? - Evidence from a national sample," Social Science & Medicine, Elsevier, vol. 285(C).
    7. Sandra De Iaco & Sabrina Maggio & Donato Posa, 2019. "A Multilevel Multinomial Model for the Dynamics of Graduates Employment in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 149-168, November.
    8. 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.
    9. Tomoko Kishi, 2013. "Cohort Effects, Spousal Incomes and Female Labour Force Participation in Japan - A Panel Data Analysis," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 16(2), pages 201-217.
    10. Julio Vena-Oya & José-Alberto Castañeda-García & Miguel-à ngel Rodríguez-Molina, 2022. "Determinants of the Likelihood of Tourist Spending in Cultural Micro-Destinations: Type, Timing, and Distance of the Activity as Predictors," SAGE Open, , vol. 12(3), pages 21582440221, September.
    11. Ko, Joonho & Lee, Sugie & Byun, Miree, 2019. "Exploring factors associated with commute mode choice: An application of city-level general social survey data," Transport Policy, Elsevier, vol. 75(C), pages 36-46.
    12. Agnieszka Chlon-Dominczak & Andrzej Zurawski, 2017. "Measuring skills mismatches revisited – introducing sectoral approach," IBS Working Papers 03/2017, Instytut Badan Strukturalnych.
    13. Dezhi Yin & Sabyasachi Mitra & Han Zhang, 2016. "Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth," Information Systems Research, INFORMS, vol. 27(1), pages 131-144, March.
    14. 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.
    15. 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.
    16. Iravani, Samaneh & Kakhki, Mahmoud Daeshvar & Ghorbani, Mohammad & Karbasi, Alireza, 2019. "Determinants of Rural Non-Farm Employment in Neyshabur: Application of Multilevel Multinomial Logit Model," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 2).

14. 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, January.

    Cited by:

    1. 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.
    2. 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.
       • Rute Mendes & Gerard J. Van den Berg & Guillaume Horny, 2007. "Job mobility in Portugal: a Bayesian study with matched worker-firm data," 2007 Meeting Papers 454, Society for Economic Dynamics.
    3. 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.
    4. Alexander Ahammer & Stefan Kranzinger, 2017. "Poverty in Times of Crisis," Economics working papers 2017-03, Department of Economics, Johannes Kepler University Linz, Austria.
    5. 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.
       • Horny, Guillaume & Mendes, Rute & van den Berg, Gerard J, 2009. "Job durations with worker and firm specific effects: MCMC estimation with longitudinal employer-employee data," Working Paper Series 2009:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
       • Horny, Guillaume & Mendes, Rute & van den Berg, Gerard J., 2009. "Job Durations with Worker and Firm Specific Effects: MCMC Estimation with Longitudinal Employer-Employee Data," IZA Discussion Papers 3992, Institute of Labor Economics (IZA).
    6. 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.
    7. Syden Mishi & Weliswa Matekenya & Leward Jeke & Ronney M. Ncwadi & Roseline T. Karambakuwa, 2021. "Firm and product survival analysis: Evidence from South African tax administrative and products data," WIDER Working Paper Series wp-2021-107, World Institute for Development Economic Research (UNU-WIDER).
    8. Georgios Sermpinis & Serafeim Tsoukas & Ping Zhang, 2019. "What influences a bank's decision to go public?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1464-1485, October.

15. 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. Marco Guerra & Francesca Bassi & José G. Dias, 2020. "A Multiple-Indicator Latent Growth Mixture Model to Track Courses with Low-Quality Teaching," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 361-381, January.
    2. Isabella Sulis & Mariano Porcu & Vincenza Capursi, 2019. "On the Use of Student Evaluation of Teaching: A Longitudinal Analysis Combining Measurement Issues and Implications of the Exercise," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 1305-1331, April.
    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.
       • Arpino, Bruno & Varriale, Roberta, 2009. "Assessing the quality of institutions’ rankings obtained through multilevel linear regression models," MPRA Paper 19873, University Library of Munich, Germany.
    5. Annalina Sarra & Adelia Evangelista & Barbara Iannone & Tonio Battista, 2023. "Looking for patterns of change amid pandemic period in students’ evaluation of academic teaching," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4759-4777, October.
    6. 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.
    7. 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.
    8. Giorgio E. Montanari & Marco Doretti, 2019. "Ranking Nursing Homes’ Performances Through a Latent Markov Model with Fixed and Random Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 307-326, November.
    9. 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.

16. 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. 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.
    2. Yu, Li & Orazem, Peter F., 2014. "O-Ring production on U.S. hog farms: joint choices of farm size, technology, and compensation," ISU General Staff Papers 201407010700001231, Iowa State University, Department of Economics.
       • 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.
       • Li Yu & Peter F. Orazem, 2014. "O-Ring production on U.S. hog farms: joint choices of farm size, technology, and compensation," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 431-442, July.
       • Yu, Li & Orazem, Peter F., 2011. "O-Ring Production on U.S. Hog Farms: Joint Choices of Farm Size, Technology, and Compensation," ISU General Staff Papers 201101010800001231, Iowa State University, Department of Economics.
    3. 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.
    4. 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.
    5. Yu, Li & Orazem, Peter F., 2008. "Human Capital, Complex Technologies, Firm Size and Wages: A Test of the O-Ring Production Hypotheses," Working Papers 44873, Iowa State University, Department of Economics.
    6. Ralitza V. Gueorguieva, 2005. "Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes," Biometrics, The International Biometric Society, vol. 61(3), pages 862-866, September.
    7. Iravani, Samaneh & Kakhki, Mahmoud Daeshvar & Ghorbani, Mohammad & Karbasi, Alireza, 2019. "Determinants of Rural Non-Farm Employment in Neyshabur: Application of Multilevel Multinomial Logit Model," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 2).
    8. 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.

17. 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. Claudia Villosio, 2010. "What makes a good candidate? The preferences of HR Managers about new graduated job-seekers," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 69(3), pages 97-118, December.
       • Claudia Villosio, 2011. "What makes a good candidate? The preferences of HR Managers about new graduated jobseekers," LABORatorio R. Revelli Working Papers Series 112, LABORatorio R. Revelli, Centre for Employment Studies.
    2. Pastore, Francesco & Quintano, Claudio & Rocca, Antonella, 2020. "Stuck at a Crossroads? The Duration of the Italian School-To-Work Transition," IZA Discussion Papers 13462, Institute of Labor Economics (IZA).
       • Pastore, Francesco & Quintano, Claudio & Rocca, Antonella, 2020. "Stuck at a crossroads? The duration of the Italian school-to-work transition," GLO Discussion Paper Series 595, Global Labor Organization (GLO).
       • Francesco Pastore & Claudio Quintano & Antonella Rocca, 2020. "Stuck at a crossroads? The duration of the Italian school-to-work transition," International Journal of Manpower, Emerald Group Publishing Limited, vol. 42(3), pages 442-469, September.
    3. 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.
       • Marelli Enrico & Sciulli Dario & Signorelli Marcello, 2014. "Skill mismatch of graduates in a local labour market," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 2, pages 181-194.
    4. Pastore, Francesco & Quintano, Claudio & Rocca, Antonella, 2021. "Some young people have all the luck! The duration dependence of the school-to-work transition in Europe," Labour Economics, Elsevier, vol. 70(C).
    5. Samuel Manda & Renate Meyer, 2005. "Age at first marriage in Malawi: a Bayesian multilevel analysis using a discrete time‐to‐event model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 439-455, March.
    6. Eleonora Bertoni & Giorgio Ricchiuti, 2017. "A Multilevel Analysis of Unemployment in Egypt," LABOUR, CEIS, vol. 31(4), pages 494-514, December.
       • Eleonora Bertoni & Giorgio Ricchiuti, 2014. "A Multilevel Analysis of the Unemployment in Egypt," Working Papers - Economics wp2014_23.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    7. Polona Domadenik & Dasa Farcnik, 2011. "Did Bologna reform improve school-to-work transition of graduates? Evidence from Slovenia," Investigaciones de Economía de la Educación volume 6, in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 40, pages 649-665, Asociación de Economía de la Educación.
    8. Jung-Yon Lim & Young-Min Lee, 2019. "Exit duration and unemployment determinants for Korean graduates," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 53(1), pages 1-14, December.
    9. Cerulli-Harms, Annette, 2017. "Generation Internship: The Impact of Internships on Early Labour Market Performance," IZA Discussion Papers 11163, Institute of Labor Economics (IZA).
    10. 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.
    11. Santos, Miguel, 2010. "From Training to Labour Market. Holocletic Model," MPRA Paper 26617, University Library of Munich, Germany.
    12. 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.
        • Rute Mendes & Gerard J. Van den Berg & Guillaume Horny, 2007. "Job mobility in Portugal: a Bayesian study with matched worker-firm data," 2007 Meeting Papers 454, Society for Economic Dynamics.
    13. Paolo Buonanno & Dario Pozzoli, 2009. "Early Labour Market Returns to College Subject," LABOUR, CEIS, vol. 23(4), pages 559-588, December.
        • Paolo Buonanno & Dario Pozzoli, 2007. "Early Labour Market Returns to College Subject," Working Papers (-2012) 0705, University of Bergamo, Department of Economics.
        • 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.
    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.
        • Pozzoli, Dario, 2008. "The Transition to Work for Italian University Graduates," Working Papers 08-8, University of Aarhus, Aarhus School of Business, Department of Economics.
    16. Daša Farčnik & Polona Domadenik, 2012. "Has the Bologna reform enhanced the employability of graduates? Early evidence from Slovenia," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(1), pages 51-75, March.
    17. Galego, Aurora & Caleiro, António, 2009. "Understanding the Transition to Work for First Degree University Graduates in Portugal -- The Case of the University of Évora," EconStor Preprints 144149, ZBW - Leibniz Information Centre for Economics.
        • Aurora Galego & António Caleiro, 2009. "Understanding the Transition to Work for First Degree University Graduates in Portugal: The case of the University of Évora," Economics Working Papers 06_2009, University of Évora, Department of Economics (Portugal).
    18. Sandra De Iaco & Sabrina Maggio & Donato Posa, 2019. "A Multilevel Multinomial Model for the Dynamics of Graduates Employment in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 149-168, November.
    19. Omar Paccagnella, 2006. "Centering or Not Centering in Multilevel Models? The Role of the Group Mean and the Assessment of Group Effects," Evaluation Review, , vol. 30(1), pages 66-85, February.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Patrizia Ordine & Giuseppe Rose, 2011. "Educational Mismatch and Wait Unemployment," Working Papers 19, AlmaLaurea Inter-University Consortium.
    25. 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.
    26. 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.
    27. 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.

Chapters

1. Anna Gottard & Leonardo Grilli & Carla Rampichini, 2007. "A Multilevel Chain Graph Model for the Analysis of Graduates’ Employment," Springer Books, in: Luigi Fabbris (ed.), Effectiveness of University Education in Italy, pages 169-181, Springer.

   Cited by:

   1. 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.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 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 and 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-SOG: Sociology of Economics (1) 2021-04-12
7. NEP-URE: Urban and Real Estate Economics (1) 2010-06-04

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