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Publications

by alumni of

Università degli Studi di Perugia → Dipartimento di Economia

University of Perugia → Department of Economics

These are publications listed in RePEc written by alumni of the above institution who are registered with the RePEc Author Service and listed in the RePEc Genealogy. List of alumni. For a list of publications by current members of the department, see here. Register yourself.

This page is updated in the first days of each month.

| Working papers | Journal articles | Chapters | Software components |

Working papers

2022

  1. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2022, "Testing for state dependence in the fixed-effects ordered logit model," MPRA Paper, University Library of Munich, Germany, number 113890, Jul.

2021

  1. Francesco Bartolucci & Franco Peracchi & Daniele Terlizzese, 2021, "A note of caution in interpreting crosscountry correlations of COVID-19 vaccination and infection rates," EIEF Working Papers Series, Einaudi Institute for Economics and Finance (EIEF), number 2118, revised Dec 2021.
  2. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021, "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," MPRA Paper, University Library of Munich, Germany, number 110031, Oct.
  3. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021, "MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit," MPRA Paper, University Library of Munich, Germany, number 110034, Oct.

2020

  1. Pennoni, Fulvia & Bartolucci, Francesco & Forte, Gianfranco & Ametrano, Ferdinando, 2020, "Exploring the dependencies among main cryptocurrency log-returns: A hidden Markov model," MPRA Paper, University Library of Munich, Germany, number 106150.

2019

  1. Tullio, Federico & Bartolucci, Francesco, 2019, "Evaluating time-varying treatment effects in latent Markov models: An application to the effect of remittances on poverty dynamics," MPRA Paper, University Library of Munich, Germany, number 91459, Jan.
  2. Genge, Ewa & Bartolucci, Francesco, 2019, "Are attitudes towards immigration changing in Europe? An analysis based on bidimensional latent class IRT models," MPRA Paper, University Library of Munich, Germany, number 94672, Jun.

2018

  1. Francesco Bartolucci & Claudia Pigini, 2018, "Partial effects estimation for fixed-effects logit panel data models," Working Papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 431, Aug.

2017

  1. Silvia Bacci & Francesco Bartolucci & Giulia Bettin & Claudia Pigini, 2017, "A mixture growth model for migrants' remittances: An application to the German Socio-Economic Panel," Mo.Fi.R. Working Papers, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences, number 145, Dec.
  2. Francesco Bartolucci & Claudia Pigini, 2017, "Granger causality in dynamic binary short panel data models," Working Papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 421, Apr.
  3. Montanari, Giorgio E. & Doretti, Marco & Bartolucci, Francesco, 2017, "A multilevel latent Markov model for the evaluation of nursing homes' performance," MPRA Paper, University Library of Munich, Germany, number 80691, Aug.

2015

  1. Francesco BARTOLUCCI & Silvia BACCI & Claudia PIGINI, 2015, "A Misspecification Test for Finite-Mixture Logistic Models for Clustered Binary and Ordered Responses," Working Papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 410, Jul.
  2. Francesco Bartolucci & Aleksandra Baschina & Giovanni S. F. Bruno & Olga Demidova & Marcello Signorelli, 2015, "Determinants of Job Satisfaction in Young Russian Workers," Discussion Papers, CRISEI, University of Naples "Parthenope", Italy, number 7_2015, Mar.
  3. Silvia BACCI & Francesco BARTOLUCCI & Silvia PANDOLFI, 2015, "A joint model for longitudinal and survival data based on an AR(1) latent process," Working papers of the Department of Economics - University of Perugia (IT), Università di Perugia, Dipartimento Economia, number 00014/2015, Oct.
  4. Bartolucci, Francesco & Pennoni, Fulvia & Vittadini, Giorgio, 2015, "Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies," MPRA Paper, University Library of Munich, Germany, number 66492, Aug.
  5. Bartolucci, Francesco & Pigini, Claudia, 2015, "cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models," MPRA Paper, University Library of Munich, Germany, number 67030, Oct.
  6. Bartolucci, Francesco & Marino, Maria Francesca & Pandolfi, Silvia, 2015, "Composite likelihood inference for hidden Markov models for dynamic networks," MPRA Paper, University Library of Munich, Germany, number 67242, Oct.

2014

  1. Minelli, Liliana & Pigini, Claudia & Chiavarini, Manuela & Bartolucci, Francesco, 2014, "Employment status and perceived health condition: longitudinal data from Italy," MPRA Paper, University Library of Munich, Germany, number 55788, Mar.
  2. Bacci, Silvia & Bartolucci, Francesco & Chiavarini, Manuela & Minelli, Liliana & Pieroni, Luca, 2014, "Differences in birth-weight outcomes: A longitudinal study based on siblings," MPRA Paper, University Library of Munich, Germany, number 55789, May.
  3. Bacci, Silvia & Bartolucci, Francesco & Pigini, Claudia & Signorelli, Marcello, 2014, "A finite mixture latent trajectory model for hirings and separations in the labor market," MPRA Paper, University Library of Munich, Germany, number 59730, Nov.

2013

  1. Francesco Bartolucci & Federico Belotti & Franco Peracchi, 2013, "Testing for Time-Invariant Unobserved Heterogeneity in Generalized Linear Models for Panel Data," EIEF Working Papers Series, Einaudi Institute for Economics and Finance (EIEF), number 1312, revised May 2013.
  2. Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2013, "Ranking Scientific Journals via Latent Class Models for Polytomous Item Response," EIEF Working Papers Series, Einaudi Institute for Economics and Finance (EIEF), number 1313, revised May 2013.
  3. Bartolucci, Francesco & Nigro, Valentina & Pigini, Claudia, 2013, "Testing for state dependence in binary panel data with individual covariates," MPRA Paper, University Library of Munich, Germany, number 48233, Jul.
  4. Cagnone, Silvia & Bartolucci, Francesco, 2013, "Adaptive quadrature for likelihood inference on dynamic latent variable models for time-series and panel data," MPRA Paper, University Library of Munich, Germany, number 51037, Oct.

2012

  1. Bacci, Silvia & Bartolucci, Francesco & Pieroni, Luca, 2012, "A causal analysis of mother’s education on birth inequalities," MPRA Paper, University Library of Munich, Germany, number 38754, Apr.
  2. Bartolucci, Francesco & Giorgio E., Montanari & Pandolfi, Silvia, 2012, "Item selection by an extended Latent Class model: An application to nursing homes evaluation," MPRA Paper, University Library of Munich, Germany, number 38757, Apr.
  3. Bartolucci, Francesco & Farcomeni, Alessio & Pennoni, Fulvia, 2012, "Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates," MPRA Paper, University Library of Munich, Germany, number 39023, Apr.
  4. Bartolucci, Francesco & Lupparelli, Monia, 2012, "Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data," MPRA Paper, University Library of Munich, Germany, number 40588, Aug.
  5. Bartolucci, Francesco, 2012, "Measuring concentration in economic sectors by h-index and g-index," MPRA Paper, University Library of Munich, Germany, number 40628, Aug.
  6. 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, University Library of Munich, Germany, number 43430, Oct.

2011

  1. Bartolucci, Francesco, 2011, "An alternative to the Baum-Welch recursions for hidden Markov models," MPRA Paper, University Library of Munich, Germany, number 38778, Dec.

2007

  1. Francesco Bartolucci & Valentina Nigro, 2007, "Maximum likelihood estimation of an extended latent markov model for clustered binary panel data," CEIS Research Paper, Tor Vergata University, CEIS, number 96, Feb.
  2. Francesco Bartolucci† & Valentina Nigro, 2007, "A dynamic model for binary panel data with unobserved heterogeneity admitting a Vn-consistent conditional estimator," CEIS Research Paper, Tor Vergata University, CEIS, number 97, Feb.

2003

  1. Bartolucci Francesco & Mira Antonietta & Scaccia Luisa, 2003, "Bayesian inference for Latent Class model via MCMC with application to capture-recapture data," Economics and Quantitative Methods, Department of Economics, University of Insubria, number qf0303, Jan.
  2. Bartolucci Francesco & Mira Antonietta, 2003, "Efficient estimate of Bayes factors from Reversible Jump output," Economics and Quantitative Methods, Department of Economics, University of Insubria, number qf0314, Oct.

Journal articles

2025

  1. Bartolucci, Francesco & Pandolfi, Silvia & Pennoni, Fulvia, 2025, "On a class of finite mixture models that includes hidden Markov models," Journal of Multivariate Analysis, Elsevier, volume 208, issue C, DOI: 10.1016/j.jmva.2025.105423.
  2. Maria Giovanna Ranalli & Fulvia Pennoni & Francesco Bartolucci & Antonietta Mira, 2025, "When non-response makes estimates from a census a small area estimation problem: the case of the survey on graduates’ employment status in Italy," 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), volume 19, issue 2, pages 515-543, June, DOI: 10.1007/s11634-025-00630-z.
  3. Francesco Bartolucci & Antonietta Mira & Stefano Peluso, 2025, "Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks," 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), volume 19, issue 4, pages 895-920, December, DOI: 10.1007/s11634-024-00604-7.

2024

  1. Fulvia Pennoni & Francesco Bartolucci & Silvia Pandolfi, 2024, "Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data," Journal of Classification, Springer;The Classification Society, volume 41, issue 3, pages 568-589, November, DOI: 10.1007/s00357-023-09457-9.
  2. Francesco Bartolucci & Fulvia Pennoni, 2024, "Book Review of Mixture and Hidden Markov Models with R by Visser & Speekenbrink," Psychometrika, Springer;The Psychometric Society, volume 89, issue 2, pages 741-743, June, DOI: 10.1007/s11336-024-09958-5.
  3. Francesco Bartolucci & Fulvia Pennoni, 2024, "Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink," Psychometrika, Springer;The Psychometric Society, volume 89, issue 3, pages 1109-1109, September, DOI: 10.1007/s11336-024-09989-y.
  4. Francesco Bartolucci & Donata Favaro & Fulvia Pennoni & Dario Sciulli, 2024, "An Analysis of the Effect of Streaming on Civic Participation Through a Causal Hidden Markov Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 172, issue 1, pages 163-190, March, DOI: 10.1007/s11205-023-03261-z.
  5. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2024, "MCMC conditional maximum likelihood for the two-way fixed-effects logit," Econometric Reviews, Taylor & Francis Journals, volume 43, issue 6, pages 379-404, July, DOI: 10.1080/07474938.2024.2339145.

2023

  1. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2023, "Testing for state dependence in the fixed-effects ordered logit model," Economics Letters, Elsevier, volume 222, issue C, DOI: 10.1016/j.econlet.2022.110964.
  2. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023, "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, volume 61, issue 2, pages 529-557, February, DOI: 10.1007/s10614-021-10218-2.
  3. Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini, 2023, "A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development," Journal of Educational and Behavioral Statistics, , volume 48, issue 4, pages 387-419, August, DOI: 10.3102/10769986221150033.
  4. Luca Brusa & Francesco Bartolucci & Fulvia Pennoni, 2023, "Tempered expectation-maximization algorithm for the estimation of discrete latent variable models," Computational Statistics, Springer, volume 38, issue 3, pages 1391-1424, September, DOI: 10.1007/s00180-022-01276-7.
  5. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023, "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, volume 64, issue 5, pages 2257-2290, May, DOI: 10.1007/s00181-022-02313-6.
  6. Fulvia Pennoni & Leonard J. Paas & Francesco Bartolucci, 2023, "A causal hidden Markov model for assessing effects of multiple direct mail campaigns," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, volume 32, issue 4, pages 1336-1364, December, DOI: 10.1007/s11749-023-00877-8.

2022

  1. Fulvia Pennoni & Francesco Bartolucci & Gianfranco Forte & Ferdinando Ametrano, 2022, "Exploring the dependencies among main cryptocurrency log‐returns: A hidden Markov model," Economic Notes, Banca Monte dei Paschi di Siena SpA, volume 51, issue 1, February, DOI: 10.1111/ecno.12193.
  2. Francesco Bartolucci & Alessio Farcomeni, 2022, "A hidden Markov space–time model for mapping the dynamics of global access to food," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 185, issue 1, pages 246-266, January, DOI: 10.1111/rssa.12746.
  3. Pigini, Claudia & Bartolucci, Francesco, 2022, "Conditional inference for binary panel data models with predetermined covariates," Econometrics and Statistics, Elsevier, volume 23, issue C, pages 83-104, DOI: 10.1016/j.ecosta.2021.01.003.
  4. Ewa Genge & Francesco Bartolucci, 2022, "Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT 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), volume 16, issue 2, pages 235-271, June, DOI: 10.1007/s11634-021-00479-y.

2021

  1. David Aristei & Silvia Bacci & Francesco Bartolucci & Silvia Pandolfi, 2021, "A bivariate finite mixture growth model with selection," 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), volume 15, issue 3, pages 759-793, September, DOI: 10.1007/s11634-020-00433-4.

2020

  1. Federica Bianchi & Francesco Bartolucci & Stefano Peluso & Antonietta Mira, 2020, "Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market," Journal of the Royal Statistical Society Series C, Royal Statistical Society, volume 69, issue 4, pages 711-739, August, DOI: 10.1111/rssc.12413.
  2. Favaro, Donata & Sciulli, Dario & Bartolucci, Francesco, 2020, "Primary-school class composition and the development of social capital," Socio-Economic Planning Sciences, Elsevier, volume 72, issue C, DOI: 10.1016/j.seps.2020.100874.

2019

  1. Silvia Bacci & Francesco Bartolucci & Giulia Bettin & Claudia Pigini, 2019, "A latent class growth model for migrants’ remittances: an application to the German Socio‐Economic Panel," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 182, issue 4, pages 1607-1632, October, DOI: 10.1111/rssa.12475.
  2. Francesco Bartolucci & Fulvia Pennoni, 2019, "Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, volume 28, issue 3, pages 437-439, September, DOI: 10.1007/s10260-019-00467-9.

2018

  1. Bartolucci, Francesco & Marino, Maria Francesca & Pandolfi, Silvia, 2018, "Dealing with reciprocity in dynamic stochastic block models," Computational Statistics & Data Analysis, Elsevier, volume 123, issue C, pages 86-100, DOI: 10.1016/j.csda.2018.01.010.
  2. Bartolucci, Francesco & Bacci, Silvia & Mira, Antonietta, 2018, "On the role of latent variable models in the era of big data," Statistics & Probability Letters, Elsevier, volume 136, issue C, pages 165-169, DOI: 10.1016/j.spl.2018.02.023.
  3. Francesco Bartolucci & Giorgio E. Montanari & Silvia Pandolfi, 2018, "Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation," Journal of Classification, Springer;The Classification Society, volume 35, issue 1, pages 172-193, April, DOI: 10.1007/s00357-017-9227-9.
  4. Francesco Bartolucci & Misbah T. Choudhry & Enrico Marelli & Marcello Signorelli, 2018, "GDP dynamics and unemployment changes in developed and developing countries," Applied Economics, Taylor & Francis Journals, volume 50, issue 31, pages 3338-3356, July, DOI: 10.1080/00036846.2017.1420894.
  5. Francesco Bartolucci & Valentina Nigro & Claudia Pigini, 2018, "Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model," Econometric Reviews, Taylor & Francis Journals, volume 37, issue 1, pages 61-88, January, DOI: 10.1080/07474938.2015.1060039.

2017

  1. Bartolucci, Francesco & Bacci, Silvia & Pigini, Claudia, 2017, "Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data," Econometrics and Statistics, Elsevier, volume 3, issue C, pages 112-131, DOI: 10.1016/j.ecosta.2016.11.007.
  2. Bartolucci, Francesco & Pigini, Claudia, 2017, "cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models," Journal of Statistical Software, Foundation for Open Access Statistics, volume 78, issue i07, DOI: http://hdl.handle.net/10.18637/jss..
  3. Silvia Cagnone & Francesco Bartolucci, 2017, "Adaptive Quadrature for Maximum Likelihood Estimation of a Class of Dynamic Latent Variable Models," Computational Economics, Springer;Society for Computational Economics, volume 49, issue 4, pages 599-622, April, DOI: 10.1007/s10614-016-9573-4.
  4. Francesco Bartolucci & Giovanni S F Bruno & Olga Demidova & Marcello Signorelli, 2017, "Job satisfaction and compensating wage differentials: Evidence from Russia," CESifo Economic Studies, CESifo Group, volume 63, issue 3, pages 333-351.
  5. Francesco Bartolucci & Alessio Farcomeni & Luisa Scaccia, 2017, "A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework," Psychometrika, Springer;The Psychometric Society, volume 82, issue 4, pages 952-978, December, DOI: 10.1007/s11336-017-9576-7.

2016

  1. Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini, 2016, "Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies," Journal of Educational and Behavioral Statistics, , volume 41, issue 2, pages 146-179, April, DOI: 10.3102/1076998615622234.
  2. Francesco Bartolucci & Giorgio E. Montanari & Silvia Pandolfi, 2016, "Item selection by latent class-based methods: an application to nursing home evaluation," 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), volume 10, issue 2, pages 245-262, June, DOI: 10.1007/s11634-016-0232-3.
  3. F. Bartolucci & R. Bellio & A. Salvan & N. Sartori, 2016, "Modified Profile Likelihood for Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, volume 35, issue 7, pages 1271-1289, August, DOI: 10.1080/07474938.2014.975642.
  4. Francesco Bartolucci & Monia Lupparelli, 2016, "Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data," Journal of the American Statistical Association, Taylor & Francis Journals, volume 111, issue 513, pages 216-228, March, DOI: 10.1080/01621459.2014.998935.

2015

  1. Francesco Bartolucci & Alessio Farcomeni, 2015, "A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates," Biometrics, The International Biometric Society, volume 71, issue 1, pages 80-89, March.
  2. Francesco Bartolucci, 2015, "A comparison between the g-index and the h-index based on concentration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, volume 66, issue 12, pages 2708-2710, December.
  3. Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2015, "Ranking scientific journals via latent class models for polytomous item response data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 178, issue 4, pages 1025-1049, October.
  4. Bartolucci Francesco & Murphy Thomas Brendan, 2015, "A finite mixture latent trajectory model for modeling ultrarunners’ behavior in a 24-hour race," Journal of Quantitative Analysis in Sports, De Gruyter, volume 11, issue 4, pages 193-203, December, DOI: 10.1515/jqas-2014-0060.
  5. Bartolucci, Francesco & Montanari, Giorgio E. & Pandolfi, Silvia, 2015, "Three-step estimation of latent Markov models with covariates," Computational Statistics & Data Analysis, Elsevier, volume 83, issue C, pages 287-301, DOI: 10.1016/j.csda.2014.10.017.
  6. Bartolucci, Francesco & Belotti, Federico & Peracchi, Franco, 2015, "Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data," Journal of Econometrics, Elsevier, volume 184, issue 1, pages 111-123, DOI: 10.1016/j.jeconom.2014.09.002.
  7. Marco Alfó & Francesco Bartolucci, 2015, "Latent variable models for the analysis of socio-economic data," METRON, Springer;Sapienza Università di Roma, volume 73, issue 2, pages 151-154, August, DOI: 10.1007/s40300-015-0074-3.

2014

  1. Francesco Bartolucci & Silvia Bacci & Fulvia Pennoni, 2014, "Longitudinal analysis of self-reported health status by mixture latent auto-regressive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, volume 63, issue 2, pages 267-288, February.
  2. Bacci, Silvia & Bartolucci, Francesco, 2014, "Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data," Computational Statistics & Data Analysis, Elsevier, volume 71, issue C, pages 262-272, DOI: 10.1016/j.csda.2013.01.015.
  3. Bartolucci, Francesco & Bacci, Silvia & Gnaldi, Michela, 2014, "MultiLCIRT: An R package for multidimensional latent class item response models," Computational Statistics & Data Analysis, Elsevier, volume 71, issue C, pages 971-985, DOI: 10.1016/j.csda.2013.05.018.
  4. Pandolfi, Silvia & Bartolucci, Francesco & Friel, Nial, 2014, "A generalized multiple-try version of the Reversible Jump algorithm," Computational Statistics & Data Analysis, Elsevier, volume 72, issue C, pages 298-314, DOI: 10.1016/j.csda.2013.10.007.
  5. Silvia Bacci & Francesco Bartolucci & Manuela Chiavarini & Liliana Minelli & Luca Pieroni, 2014, "Differences in Birthweight Outcomes: A Longitudinal Study Based on Siblings," IJERPH, MDPI, volume 11, issue 6, pages 1-13, June.
  6. F. Bartolucci & A. Farcomeni & F. Pennoni, 2014, "Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, volume 23, issue 3, pages 433-465, September, DOI: 10.1007/s11749-014-0381-7.
  7. F. Bartolucci & A. Farcomeni & F. Pennoni, 2014, "Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, volume 23, issue 3, pages 484-486, September, DOI: 10.1007/s11749-014-0393-3.

2012

  1. Francesco Bartolucci, 2012, "On a possible decomposition of the h‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, volume 63, issue 10, pages 2126-2127, October, DOI: 10.1002/asi.22697.
  2. Bartolucci, Francesco & Scaccia, Luisa & Farcomeni, Alessio, 2012, "Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data," Computational Statistics & Data Analysis, Elsevier, volume 56, issue 12, pages 4067-4080, DOI: 10.1016/j.csda.2012.04.006.
  3. Bartolucci, Francesco & Nigro, Valentina, 2012, "Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data," Journal of Econometrics, Elsevier, volume 170, issue 1, pages 102-116, DOI: 10.1016/j.jeconom.2012.03.004.
  4. Manuela Chiavarini & Francesco Bartolucci & Alessio Gili & Luca Pieroni & Liliana Minelli, 2012, "Effects of individual and social factors on preterm birth and low birth weight: empirical evidence from regional data in Italy," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), volume 57, issue 2, pages 261-268, April, DOI: 10.1007/s00038-011-0311-3.
  5. F. Bartolucci & G. Montanari & S. Pandolfi, 2012, "Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models," Psychometrika, Springer;The Psychometric Society, volume 77, issue 4, pages 782-802, October, DOI: 10.1007/s11336-012-9278-0.

2011

  1. Bartolucci, Francesco & Grilli, Leonardo, 2011, "Modeling Partial Compliance Through Copulas in a Principal Stratification Framework," Journal of the American Statistical Association, American Statistical Association, volume 106, issue 494, pages 469-479.
  2. Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini, 2011, "Assessment of School Performance Through a Multilevel Latent Markov Rasch Model," Journal of Educational and Behavioral Statistics, , volume 36, issue 4, pages 491-522, August, DOI: 10.3102/1076998610381396.

2010

  1. Francesco Bartolucci & Alessio Farcomeni, 2010, "A note on the mixture transition distribution and hidden Markov models," Journal of Time Series Analysis, Wiley Blackwell, volume 31, issue 2, pages 132-138, March, DOI: 10.1111/j.1467-9892.2009.00650.x.
  2. Francesco Bartolucci & Valentina Nigro, 2010, "A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n-Consistent Conditional Estimator," Econometrica, Econometric Society, volume 78, issue 2, pages 719-733, March.
  3. Francesco Bartolucci & Ivonne Solis-Trapala, 2010, "Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood," Psychometrika, Springer;The Psychometric Society, volume 75, issue 4, pages 725-743, December, DOI: 10.1007/s11336-010-9177-1.

2009

  1. Bartolucci, Francesco & Farcomeni, Alessio, 2009, "A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure," Journal of the American Statistical Association, American Statistical Association, volume 104, issue 486, pages 816-831.

2008

  1. Francesco Bartolucci & Monia Lupparelli, 2008, "Focused Information Criterion for Capture–Recapture Models for Closed Populations," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, volume 35, issue 4, pages 629-649, December, DOI: 10.1111/j.1467-9469.2008.00604.x.

2007

  1. Francesco Bartolucci & Fulvia Pennoni, 2007, "A Class of Latent Markov Models for Capture–Recapture Data Allowing for Time, Heterogeneity, and Behavior Effects," Biometrics, The International Biometric Society, volume 63, issue 2, pages 568-578, June.
  2. Francesco Bartolucci & Fulvia Pennoni & Brian Francis, 2007, "A latent Markov model for detecting patterns of criminal activity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 170, issue 1, pages 115-132, January, DOI: 10.1111/j.1467-985X.2006.00440.x.
  3. Bartolucci, Francesco & Nigro, Valentina, 2007, "Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data," Computational Statistics & Data Analysis, Elsevier, volume 51, issue 7, pages 3470-3483, April.
  4. Bartolucci, Francesco, 2007, "A penalized version of the empirical likelihood ratio for the population mean," Statistics & Probability Letters, Elsevier, volume 77, issue 1, pages 104-110, January.
  5. Francesco Bartolucci & Fulvia Pennoni, 2007, "On the approximation of the quadratic exponential distribution in a latent variable context," Biometrika, Biometrika Trust, volume 94, issue 3, pages 745-754.
  6. Francesco Bartolucci, 2007, "A class of multidimensional IRT models for testing unidimensionality and clustering items," Psychometrika, Springer;The Psychometric Society, volume 72, issue 2, pages 141-157, June, DOI: 10.1007/s11336-005-1376-9.

2006

  1. Bartolucci, Francesco & Forcina, Antonio, 2006, "A Class of Latent Marginal Models for CaptureRecapture Data With Continuous Covariates," Journal of the American Statistical Association, American Statistical Association, volume 101, pages 786-794, June.
  2. Francesco Bartolucci, 2006, "Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities," Journal of the Royal Statistical Society Series B, Royal Statistical Society, volume 68, issue 2, pages 155-178, April, DOI: 10.1111/j.1467-9868.2006.00538.x.
  3. Francesco Bartolucci & Luisa Scaccia & Antonietta Mira, 2006, "Efficient Bayes factor estimation from the reversible jump output," Biometrika, Biometrika Trust, volume 93, issue 1, pages 41-52, March.

2005

  1. Bartolucci, F. & Scaccia, L., 2005, "The use of mixtures for dealing with non-normal regression errors," Computational Statistics & Data Analysis, Elsevier, volume 48, issue 4, pages 821-834, April.
  2. Francesco Bartolucci, 2005, "Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures," Journal of Classification, Springer;The Classification Society, volume 22, issue 2, pages 203-219, September, DOI: 10.1007/s00357-005-0014-7.
  3. Francesco Bartolucci & Antonio Forcina, 2005, "Likelihood inference on the underlying structure of IRT models," Psychometrika, Springer;The Psychometric Society, volume 70, issue 1, pages 31-43, March, DOI: 10.1007/s11336-001-0934-z.

2004

  1. Bartolucci, F. & Scaccia, L., 2004, "Testing for positive association in contingency tables with fixed margins," Computational Statistics & Data Analysis, Elsevier, volume 47, issue 1, pages 195-210, August.

2003

  1. Bartolucci, F. & De Luca, G., 2003, "Likelihood-based inference for asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, volume 42, issue 3, pages 445-449, March.

2002

  1. Bartolucci F. & Forcina A., 2002, "Extended RC Association Models Allowing for Order Restrictions and Marginal Modeling," Journal of the American Statistical Association, American Statistical Association, volume 97, pages 1192-1199, December.
  2. Francesco Bartolucci, 2002, "A recursive algorithm for Markov random fields," Biometrika, Biometrika Trust, volume 89, issue 3, pages 724-730, August.

2001

  1. Bartolucci F. & Forcina A. & Dardanoni V., 2001, "Positive Quadrant Dependence and Marginal Modeling in Two-Way Tables With Ordered Margins," Journal of the American Statistical Association, American Statistical Association, volume 96, pages 1497-1505, December.
  2. Francesco Bartolucci & Antonio Forcina, 2001, "Analysis of Capture-Recapture Data with a Rasch-Type Model Allowing for Conditional Dependence and Multidimensionality," Biometrics, The International Biometric Society, volume 57, issue 3, pages 714-719, September.
  3. Bartolucci, F., 2001, "Developments of the Markov chain approach within the distribution theory of runs," Computational Statistics & Data Analysis, Elsevier, volume 36, issue 1, pages 107-118, March.
  4. Francesco Bartolucci & Giovanni De Luca, 2001, "Maximum likelihood estimation of a latent variable time‐series model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, volume 17, issue 1, pages 5-17, January, DOI: 10.1002/asmb.426.

1998

  1. Giorgio Montanari & Francesco Bartolucci, 1998, "On estimating the variance of the systematic sample mean," Statistical Methods & Applications, Springer;Società Italiana di Statistica, volume 7, issue 2, pages 185-196, August, DOI: 10.1007/BF03178928.

Chapters

2018

  1. Francesco Bartolucci & Alessandro Cardinali & Fulvia Pennoni, 2018, "A Generalized Moving Average Convergence/Divergence for Testing Semi-strong Market Efficiency," Springer Books, Springer, in: Marco Corazza & María Durbán & Aurea Grané & Cira Perna & Marilena Sibillo, "Mathematical and Statistical Methods for Actuarial Sciences and Finance", DOI: 10.1007/978-3-319-89824-7_18.

2004

  1. F. Bartolucci & A. Mira & L. Scaccia, 2004, "Answering Two Biological Questions with a Latent Class Model via MCMC Applied to Capture-Recapture Data," Springer Books, Springer, chapter 0, in: M. Di Bacco & G. D’Amore & F. Scalfari, "Applied Bayesian Statistical Studies in Biology and Medicine", DOI: 10.1007/978-1-4613-0217-9_2.

Software components

2020

  1. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2020, "CQUADR: Stata module to estimate Quadratic Exponential models running the cquad R package," Statistical Software Components, Boston College Department of Economics, number S458852, revised 31 Oct 2020.

2014

  1. Francesco Bartolucci, 2014, "CQUAD: Stata module to perform conditional maximum likelihood estimation of quadratic exponential models," Statistical Software Components, Boston College Department of Economics, number S457891, revised 25 Jul 2015.

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