Carla Rampichini

Personal Details

First Name:	Carla
Middle Name:
Last Name:	Rampichini
Suffix:
RePEc Short-ID:	pra260
	[This author has chosen not to make the email address public]
	https://www.disia.unifi.it/p-doc2-2017-200052-R-3f2a3c2e36292f-0.html
	Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti" Viale Morgagni 59 50134 Firenze

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. Giorgio Calzolari & F. Mealli & C. Rampichini, 2001. "Alternative Simulation-Based Estimators of Logit Models with Random Effects," Econometrics Working Papers Archive quaderno48, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

   Cited by:

   1. Daniela Campus & Gianna Claudia Giannelli, 2017. "Is the allocation of time gender sensitive to food price changes? an investigation of hours of work in Uganda," CHILD Working Papers Series 53 JEL Classification: J1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
      • Campus, Daniela & Giannelli, Gianna Claudia, 2016. "Is the Allocation of Time Gender Sensitive to Food Price Changes? An Investigation of Hours of Work in Uganda," IZA Discussion Papers 10376, Institute of Labor Economics (IZA).
      • Daniela Campus & Gianna Giannelli, 2016. "Is the Allocation of Time Gender Sensitive to Food Price Changes? An Investigation of Hours of Work in Uganda," Working Papers - Economics wp2016_16.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
   2. Anna Gottard & Giorgio Calzolari, 2014. "Alternative estimating procedures for multiple membership logit models with mixed effects: indirect inference and data cloning," Econometrics Working Papers Archive 2014_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

Articles

1. Silvia Duranti & Maria Luisa Maitino & Valentina Patacchini & Carla Rampichini & Nicola Sciclone, 2018. "What Training for the Unemployed? An Impact Evaluation for Targeting Training Courses," Politica economica, Società editrice il Mulino, issue 3, pages 241-272.

   Cited by:

   1. Lucia Svabova & Katarina Kramarova, 2022. "Allowance for School Graduate Practice Performance in Slovakia: Impact Evaluation of the Intervention," Mathematics, MDPI, vol. 10(9), pages 1-27, April.
   2. Svabova, Lucia & Kramarova, Katarina, 2021. "An analysis of participation factors and effects of the active labour market measure Graduate practice in Slovakia – Counterfactual approach," Evaluation and Program Planning, Elsevier, vol. 86(C).
   3. Pastore, Francesco & Pompili, Marco, 2022. "An Impact Assessment of ESF Training Courses for Unemployed in the Province of Bolzano," IZA Discussion Papers 15066, Institute of Labor Economics (IZA).
      • Pastore, Francesco & Pompili, Marco, 2022. "An impact assessment of ESF training courses for unemployed in the Province of Bolzano," GLO Discussion Paper Series 1042, Global Labor Organization (GLO).
   4. Francesco Pastore & Marco Pompili, 2020. "Assessing the Impact of Off-the-Job and On-the-Job Training on Employment Outcomes: A Counterfactual Evaluation of the PIPOL Program," Evaluation Review, , vol. 44(2-3), pages 145-184, April.
   5. Alic BÎRCA, 2023. "Workforce Participation in Active Labour Market Policies: A Comparative Analysis in EU Member States," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 24(2), pages 173-187, May.
   6. Giorgia Casalone & Eliana Baici, 2023. "Education, Off-the-Job Vocational Training, and Early Employment Outcomes: Evidence from Italy," Merits, MDPI, vol. 3(2), pages 1-15, May.

2. 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.

3. Enrico Conti & Silvia Duranti & Carla Rampichini & Nicola Sciclone, 2015. "Quanto conta l?effetto scuola nel ciclo primario? L?efficacia delle istituzioni scolastiche in Toscana," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(3), pages 59-84.

   Cited by:

   1. Sabrina Iommi & Donatella Marinari, "undated". "A Multi-Criteria Analysis (MCA) for the territorial reorganization of the school network in a Tuscan inland area," Studi e approfondimenti 2, Istituto Regionale per la Programmazione Economica della Toscana.

4. 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. 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.
   4. 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.
   5. 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.
   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.

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.

   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. 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.
   6. Manisera, Marica & Zuccolotto, Paola, 2014. "Modeling rating data with Nonlinear CUB models," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 100-118.
   7. 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. 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. 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. 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.
   2. Mauro, Marianna & Giancotti, Monica, 2023. "The 2022 primary care reform in Italy: Improving continuity and reducing regional disparities?," Health Policy, Elsevier, vol. 135(C).
   3. 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.
   4. 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.
   5. 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.

7. Fabrizia Mealli & Carla Rampichini, 2012. "Evaluating the effects of university grants by using regression discontinuity designs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(3), pages 775-798, July.

   Cited by:

   1. Yi Zhang & Eli Ben-Michael & Kosuke Imai, 2022. "Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs," Papers 2208.13323, arXiv.org, revised Sep 2024.
   2. Bernard Black & Woochan Kim & Julia Nasev, 2021. "The Effect of Board Structure on Firm Disclosure and Behavior: A Case Study of Korea and a Comparison of Research Designs," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 18(2), pages 328-376, June.
   3. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.
      • Matias D. Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare, 2019. "The Regression Discontinuity Design," Papers 1906.04242, arXiv.org, revised Jun 2020.
      • Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
   4. Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
   5. Vergolini, Loris & Zanini, Nadir, 2015. "Away, but not too far from home. The effects of financial aid on university enrolment decisions," Economics of Education Review, Elsevier, vol. 49(C), pages 91-109.
   6. Modena, Francesca & Rettore, Enrico & Tanzi, Giulia, 2020. "The Effect of Grants on University Drop-Out Rates: Evidence on the Italian Case," IZA Discussion Papers 12886, Institute of Labor Economics (IZA).
      • Francesca Modena & Giulia Martina Tanzi & Enrico Rettore, 2018. "The effect of grants on university drop-out rates: evidence on the Italian case," Temi di discussione (Economic working papers) 1193, Bank of Italy, Economic Research and International Relations Area.
   7. V. Rattini, 2014. "The Causal Effect of Scholarships Targeted at Low Income Students on Performance: Evidence from Italy," Working Papers wp968, Dipartimento Scienze Economiche, Universita' di Bologna.
   8. José García-Montalvo, 2018. "The Impact of Progressive Tuition Fees on Dropping Out of Higher Education: A Regression Discontinuity Design," Working Papers 1017, Barcelona School of Economics.
   9. Contini, Dalit & Salza, Guido, 2020. "Too few university graduates. Inclusiveness and effectiveness of the Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
   10. Facchini, Marta & Triventi, Moris & Vergolini, Loris, 2019. "Do Grants Improve the Outcomes of University Students in a Context with High Dropout Rates? Evidence from a Matching Approach," SocArXiv k3gwv, Center for Open Science.
   11. Francesca Modena & Santiago Pereda-Fernández & Giulia Martina Tanzi, 2023. "On the Design of Grant Assignment Rules," Politica economica, Società editrice il Mulino, issue 1, pages 3-40.
       • Francesca Modena & Giulia Martina Tanzi & Santiago Pereda Fernandez, 2020. "On the design of grant assignment rules," Temi di discussione (Economic working papers) 1307, Bank of Italy, Economic Research and International Relations Area.
   12. Tommaso Agasisti & Samuele Murtinu, 2013. "Are we wasting public money? No! The effects of grants on Italian university students’ performances," Working Papers 2013/33, Institut d'Economia de Barcelona (IEB).
   13. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
   14. Andersson, Josefine, 2018. "Financial incentives to work for disability insurance recipients - Sweden’s special rules for continuous deduction," Working Paper Series 2018:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.
   15. Alberto Martini & Davide Azzolini & Barbara Romano & Loris Vergolini, 2021. "Increasing College Going by Incentivizing Savings: Evidence from a Randomized Controlled Trial in Italy," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 814-840, June.
   16. Modena, Francesca & Rettore, Enrico & Tanzi, Giulia Martina, 2022. "Asymmetries in the gender effect of high-performing peers: Evidence from tertiary education," Labour Economics, Elsevier, vol. 78(C).
   17. José Garcia Montalvo, 2018. "The impact of progressive tuition fees on dropping out of higher education: a regression discontinuity design," Economics Working Papers 1597, Department of Economics and Business, Universitat Pompeu Fabra.
   18. Ciancio, Alberto & Kämpfen, Fabrice & Kohler, Hans-Peter & Kohler, Iliana V., 2021. "Health screening for emerging non-communicable disease burdens among the global poor: Evidence from sub-Saharan Africa," Journal of Health Economics, Elsevier, vol. 75(C).
   19. Depalo, Domenico, 2023. "Should the Daylight Saving Time be abolished? Evidence from work accidents in Italy," Economic Modelling, Elsevier, vol. 128(C).
   20. Veronica Rattini, 2022. "The Effects of Financial Aid on Graduation and Labor Market Outcomes: New Evidence from Matched Education-Labor Data," CESifo Working Paper Series 10010, CESifo.
   21. Minaya, Veronica & Agasisti, Tommaso & Bratti, Massimiliano, 2022. "When need meets merit: The effect of increasing merit requirements in need-based student aid," European Economic Review, Elsevier, vol. 146(C).
       • Agasisti, Tommaso & Bratti, Massimiliano & Minaya, Veronica, 2021. "When Need Meets Merit: The Effect of Increasing Merit Requirements in Need-Based Student Aid," IZA Discussion Papers 14423, Institute of Labor Economics (IZA).
   22. Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.
   23. Xiaohong Li & Yuxi Mu, 2024. "The Effects of Development-Oriented Aid on Student Development in Higher Education: The Mediating Effect of Psychological Capital," Sustainability, MDPI, vol. 16(13), pages 1-18, July.
   24. Dor Leventer & Daniel Nevo, 2024. "Correcting invalid regression discontinuity designs with multiple time period data," Papers 2408.05847, arXiv.org.

8. 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 E. & Lumey, L.H., 2024. "Severe prenatal shocks and adolescent health: Evidence from the Dutch Hunger Winter," Economics & Human Biology, Elsevier, vol. 53(C).
      • 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.
      • 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.
   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.
   4. Ragni, Alessandra & Ippolito, Daniel & Masci, Chiara, 2024. "Assessing the impact of hybrid teaching on students’ academic performance via multilevel propensity score-based techniques," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).

9. Gottard, Anna & Rampichini, Carla, 2007. "Chain graphs for multilevel models," Statistics & Probability Letters, Elsevier, vol. 77(3), pages 312-318, February.

   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.

10. 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. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Wilckyster Nyateko Nyarindo & Amin Mugera & Atakelty Hailu & Gideon Aiko Obare, 2024. "Do combined sustainable agricultural intensification practices improve smallholder farmers welfare? Evidence from eastern and western Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 55(2), pages 296-312, March.
    11. 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).
    12. 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.
    13. 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.
    14. Agnieszka Chlon-Dominczak & Andrzej Zurawski, 2017. "Measuring skills mismatches revisited – introducing sectoral approach," IBS Working Papers 03/2017, Instytut Badan Strukturalnych.
    15. 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.
    16. 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.
    17. 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).

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. 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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

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. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).

13. Nicola Sciclone & Gianni Aristelli & Carla Rampichini, 2001. "La valutazione di efficacia delle borse di studio in Toscana," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2001(3).

    Cited by:

    1. Tommaso Agasisti & Samuele Murtinu, 2013. "Are we wasting public money? No! The effects of grants on Italian university students’ performances," Working Papers 2013/33, Institut d'Economia de Barcelona (IEB).

14. Mealli, Fabrizia & Rampichini, Carla, 1999. "Estimating binary multilevel models through indirect inference," Computational Statistics & Data Analysis, Elsevier, vol. 29(3), pages 313-324, January.

    Cited by:

    1. Giorgio Calzolari & F. Di Iorio & G. Fiorentini, 1999. "Indirect Estimation of Just-Identified Models with Control Variates," Econometrics Working Papers Archive quaderno46, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Joakim Westerlund & Per Hjertstrand, 2014. "Indirect Estimation of Semiparametric Binary Choice Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 298-314, April.
    3. Giorgio Calzolari & Francesca Di Iorio & Gabriele Fiorentini, 2001. "Indirect inference and variance reduction using control variates," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 39-53.
    4. Calzolari, Giorgio & Magazzini, Laura & Mealli, Fabrizia, 2001. "Simulation-based estimation of Tobit model with random effects," MPRA Paper 22985, University Library of Munich, Germany, revised 2001.
    5. Di Iorio, Francesca & Calzolari, Giorgio, 2006. "Discontinuities in indirect estimation: An application to EAR models," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2124-2136, April.
    6. Niyousha Hosseinichimeh & Hazhir Rahmandad & Mohammad S. Jalali & Andrea K. Wittenborn, 2016. "Estimating the parameters of system dynamics models using indirect inference," System Dynamics Review, System Dynamics Society, vol. 32(2), pages 154-178, April.
    7. Anna Gottard & Giorgio Calzolari, 2014. "Alternative estimating procedures for multiple membership logit models with mixed effects: indirect inference and data cloning," Econometrics Working Papers Archive 2014_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    8. Giorgio Calzolari & F. Mealli & C. Rampichini, 2001. "Alternative Simulation-Based Estimators of Logit Models with Random Effects," Econometrics Working Papers Archive quaderno48, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

15. Carla Rampichini & Silvana Schifini d'Andrea, 1998. "A Hierarchical Ordinal Probit Model for the Analysis of Life Satisfaction in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 44(1), pages 41-69, May.

    Cited by:

    1. Peggy Schyns, 2002. "Wealth Of Nations, Individual Income andLife Satisfaction in 42 Countries:A Multilevel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 60(1), pages 5-40, December.
    2. Sieds, 2012. "Complete Volume LXVI n.1 2012," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(1), pages 1-296.
    3. Yukun Zhao & Feng Yu & Bo Jing & Xiaomeng Hu & Ang Luo & Kaiping Peng, 2019. "An Analysis of Well-Being Determinants at the City Level in China Using Big Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 973-994, June.
    4. Chau-Kiu Cheung & Kwan-Kwok Leung, 2004. "Forming Life Satisfaction among Different Social Groups during the Modernization of China," Journal of Happiness Studies, Springer, vol. 5(1), pages 23-56, March.
    5. Francesco Burchi & Chiara Gnesi, 2016. "A Review of the Literature on Well-Being in Italy: A Human Development Perspective," Forum for Social Economics, Taylor & Francis Journals, vol. 45(2-3), pages 170-192, August.
       • Francesco Burchi & Chiara Gnesi, 2013. "A review of the literature on well-being in Italy: A human development perspective," Departmental Working Papers of Economics - University 'Roma Tre' 0175, Department of Economics - University Roma Tre.
    6. Philip S. Morrison, 2021. "Whose Happiness in Which Cities? A Quantile Approach," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
    7. Isabel Neira & Fernando Bruna & Marta Portela & Adela García-Aracil, 2018. "Individual Well-Being, Geographical Heterogeneity and Social Capital," Journal of Happiness Studies, Springer, vol. 19(4), pages 1067-1090, April.
    8. Giorgio Calcagnini & Francesco Perugini, 2016. "A Well-Being Indicator for the Italian Provinces a," Working Papers 1608, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2016.
       • Giorgio Calcagnini & Francesco Perugini, 2019. "A Well-Being Indicator for the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 149-177, February.
    9. Wantchekon, Leonard & Riaz, Zara, 2019. "Mobile technology and food access," World Development, Elsevier, vol. 117(C), pages 344-356.
    10. Chau-kiu Cheung & Kwan-kwok Leung, 2007. "Enhancing life satisfaction by government accountability in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(3), pages 411-432, July.
    11. Chenhong Peng, 2023. "Household Consumption and the Discrepancy Between Economic and Subjective Poverty: The Mediating Roles of Perceived Social Status and Social Connectedness," Journal of Happiness Studies, Springer, vol. 24(5), pages 1703-1727, June.
    12. Mariano Rojas, 2006. "Life satisfaction and satisfaction in domains of life: is it a simple relationship?," Journal of Happiness Studies, Springer, vol. 7(4), pages 467-497, November.
    13. Chenhong Peng & Paul S. F. Yip & Yik Wa Law, 2020. "What Factors Beyond Economic Poverty Lead People in High-income Societies to Feel Poor? Evidence from Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 991-1027, December.
    14. Adam Okulicz-Kozaryn, 2011. "Geography of European Life Satisfaction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(3), pages 435-445, May.
    15. Zhilin Tang, 2014. "They Are Richer But Are They Happier? Subjective Well-Being of Chinese Citizens Across the Reform Era," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 145-164, May.
    16. Alessandra Petrucci & Silvana D'Andrea, 2002. "Quality of Life in Europe: Objective and Subjective Indicators A Spatial Analysis Using Classification Techniques," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 60(1), pages 55-88, December.
    17. Chau-kiu Cheung & Kwan-kwok Leung, 2008. "Retrospective and prospective evaluations of environmental quality under urban renewal as determinants of residents’ subjective quality of life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 85(2), pages 223-241, January.
    18. Kenneth Smith, 2003. "Individual Welfare in the Soviet Union," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 64(1), pages 75-105, October.
    19. Emanuele Blasi & Maria Nucera & Clara Cicatiello & Silvio Franco, 2013. "Socio-demographic Components of Eudaimonic Well-Being: A Survey in an Italian Province," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(1), pages 451-470, August.
    20. Luca Zanin, 2017. "Education and Life Satisfaction in Relation to the Probability of Social Trust: a Conceptual Framework and Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 925-947, June.
    21. Pei-Shan Liao & Yang-Chih Fu & Chin-Chun Yi, 2005. "Perceived quality of life in Taiwan and Hong Kong: an intra-culture comparison," Journal of Happiness Studies, Springer, vol. 6(1), pages 43-67, March.
    22. Marc Hooghe & Bram Vanhoutte, 2011. "Subjective Well-Being and Social Capital in Belgian Communities. The Impact of Community Characteristics on Subjective Well-Being Indicators in Belgium," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 100(1), pages 17-36, January.
    23. Adam Okulicz-Kozaryn, 2012. "Income and Well-being Across European Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 106(2), pages 371-392, April.

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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