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Publications

by alumni of

Dipartimento di Economia
Università degli Studi di Perugia
Perugia, Italy

(Department of Economics, University of Perugia))

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 | Software components |

Working papers

2014

  1. Minelli, Liliana & Pigini, Claudia & Chiavarini, Manuela & Bartolucci, Francesco, 2014. "Employment status and perceived health condition: longitudinal data from Italy," MPRA Paper 55788, University Library of Munich, Germany.
  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 55789, University Library of Munich, Germany.

2013

  1. Pieroni, Luca & d'Agostino, Giorgio & Bartolucci, Francesco, 2013. "Identifying corruption through latent class models: evidence from transition economies," MPRA Paper 43981, University Library of Munich, Germany.
  2. Francesco Bartolucci & Federico Belotti & Franco Peracchi, 2013. "Testing for Time-Invariant Unobserved Heterogeneity in Generalized Linear Models for Panel Data," EIEF Working Papers Series 1312, Einaudi Institute for Economics and Finance (EIEF), revised May 2013.
  3. Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2013. "Ranking Scientific Journals via Latent Class Models for Polytomous Item Response," EIEF Working Papers Series 1313, Einaudi Institute for Economics and Finance (EIEF), revised May 2013.
  4. Bartolucci, Francesco & Nigro, Valentina & Pigini, Claudia, 2013. "Testing for state dependence in binary panel data with individual covariates," MPRA Paper 48233, University Library of Munich, Germany.
  5. Cagnone, Silvia & Bartolucci, Francesco, 2013. "Adaptive quadrature for likelihood inference on dynamic latent variable models for time-series and panel data," MPRA Paper 51037, University Library of Munich, Germany.

2012

  1. Bacci, Silvia & Bartolucci, Francesco & Pieroni, Luca, 2012. "A causal analysis of mother’s education on birth inequalities," MPRA Paper 38754, University Library of Munich, Germany.
  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 38757, University Library of Munich, Germany.
  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 39023, University Library of Munich, Germany.
  4. Bartolucci, Francesco & Lupparelli, Monia, 2012. "Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data," MPRA Paper 40588, University Library of Munich, Germany.
  5. Bartolucci, Francesco, 2012. "Measuring concentration in economic sectors by h-index and g-index," MPRA Paper 40628, University Library of Munich, Germany.
  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 43430, University Library of Munich, Germany.

2011

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

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 96, Tor Vergata University, CEIS.
  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 97, Tor Vergata University, CEIS.

2003

  1. Bartolucci Francesco & Mira Antonietta, 2003. "Efficient estimate of Bayes factors from Reversible Jump output," Economics and Quantitative Methods, Department of Economics, University of Insubria qf0314, Department of Economics, University of Insubria.
  2. 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 qf0303, Department of Economics, University of Insubria.

Journal articles

2014

  1. Bacci, Silvia & Bartolucci, Francesco, 2014. "Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 71(C), pages 262-272.
  2. Bartolucci, Francesco & Bacci, Silvia & Gnaldi, Michela, 2014. "MultiLCIRT: An R package for multidimensional latent class item response models," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 71(C), pages 971-985.
  3. Pandolfi, Silvia & Bartolucci, Francesco & Friel, Nial, 2014. "A generalized multiple-try version of the Reversible Jump algorithm," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 72(C), pages 298-314.
  4. 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, vol. 63(2), pages 267-288, 02.

2012

  1. F. Bartolucci & G. Montanari & S. Pandolfi, 2012. "Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models," Psychometrika, Springer, Springer, vol. 77(4), pages 782-802, October.
  2. Bartolucci, Francesco & Nigro, Valentina, 2012. "Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data," Journal of Econometrics, Elsevier, Elsevier, vol. 170(1), pages 102-116.

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, American Statistical Association, vol. 106(494), pages 469-479.

2010

  1. 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, Springer, vol. 75(4), pages 725-743, December.
  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, Econometric Society, vol. 78(2), pages 719-733, 03.
  3. Francesco Bartolucci & Alessio Farcomeni, 2010. "A note on the mixture transition distribution and hidden Markov models," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(2), pages 132-138, 03.

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, American Statistical Association, vol. 104(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, vol. 35(4), pages 629-649.

2007

  1. Francesco Bartolucci & Fulvia Pennoni, 2007. "On the approximation of the quadratic exponential distribution in a latent variable context," Biometrika, Biometrika Trust, Biometrika Trust, vol. 94(3), pages 745-754.
  2. Bartolucci, Francesco & Nigro, Valentina, 2007. "Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 51(7), pages 3470-3483, April.
  3. Francesco Bartolucci, 2007. "A class of multidimensional IRT models for testing unidimensionality and clustering items," Psychometrika, Springer, Springer, vol. 72(2), pages 141-157, June.
  4. 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, vol. 170(1), pages 115-132.
  5. Bartolucci, Francesco, 2007. "A penalized version of the empirical likelihood ratio for the population mean," Statistics & Probability Letters, Elsevier, Elsevier, vol. 77(1), pages 104-110, January.

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, American Statistical Association, vol. 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, vol. 68(2), pages 155-178.
  3. Francesco Bartolucci & Luisa Scaccia & Antonietta Mira, 2006. "Efficient Bayes factor estimation from the reversible jump output," Biometrika, Biometrika Trust, Biometrika Trust, vol. 93(1), pages 41-52, March.

2005

  1. Francesco Bartolucci & Antonio Forcina, 2005. "Likelihood inference on the underlying structure of IRT models," Psychometrika, Springer, Springer, vol. 70(1), pages 31-43, March.
  2. Francesco Bartolucci, 2005. "Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures," Journal of Classification, Springer, Springer, vol. 22(2), pages 203-219, September.
  3. Bartolucci, F. & Scaccia, L., 2005. "The use of mixtures for dealing with non-normal regression errors," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 48(4), pages 821-834, April.

2004

  1. Bartolucci, F. & Scaccia, L., 2004. "Testing for positive association in contingency tables with fixed margins," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 47(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, Elsevier, vol. 42(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, American Statistical Association, vol. 97, pages 1192-1199, December.
  2. Francesco Bartolucci, 2002. "A recursive algorithm for Markov random fields," Biometrika, Biometrika Trust, Biometrika Trust, vol. 89(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, American Statistical Association, vol. 96, pages 1497-1505, December.
  2. Bartolucci, F., 2001. "Developments of the Markov chain approach within the distribution theory of runs," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 36(1), pages 107-118, March.

1998

  1. Giorgio Montanari & Francesco Bartolucci, 1998. "On estimating the variance of the systematic sample mean," Statistical Methods and Applications, Springer, Springer, vol. 7(2), pages 185-196, August.

Software components

2014

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