Francesco Bartolucci

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• Università degli Studi di Perugia / Dipartimento di Economia
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Research profile

author of:

• A mixture growth model for migrants' remittances: An application to the German Socio-Economic Panel (RePEc:anc:wmofir:145)
  by Silvia Bacci & Francesco Bartolucci & Giulia Bettin & Claudia Pigini
• A Misspecification Test for Finite-Mixture Logistic Models for Clustered Binary and Ordered Responses (RePEc:anc:wpaper:410)
  by Francesco BARTOLUCCI & Silvia BACCI & Claudia PIGINI
• Granger causality in dynamic binary short panel data models (RePEc:anc:wpaper:421)
  by Francesco Bartolucci & Claudia Pigini
• Partial effects estimation for fixed-effects logit panel data models (RePEc:anc:wpaper:431)
  by Francesco Bartolucci & Claudia Pigini
• A Class of Latent Marginal Models for CaptureRecapture Data With Continuous Covariates (RePEc:bes:jnlasa:v:101:y:2006:p:786-794)
  by Bartolucci, Francesco & Forcina, Antonio
• A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure (RePEc:bes:jnlasa:v:104:i:486:y:2009:p:816-831)
  by Bartolucci, Francesco & Farcomeni, Alessio
• Modeling Partial Compliance Through Copulas in a Principal Stratification Framework (RePEc:bes:jnlasa:v:106:i:494:y:2011:p:469-479)
  by Bartolucci, Francesco & Grilli, Leonardo
• Positive Quadrant Dependence and Marginal Modeling in Two-Way Tables With Ordered Margins (RePEc:bes:jnlasa:v:96:y:2001:m:december:p:1497-1505)
  by Bartolucci F. & Forcina A. & Dardanoni V.
• Extended RC Association Models Allowing for Order Restrictions and Marginal Modeling (RePEc:bes:jnlasa:v:97:y:2002:m:december:p:1192-1199)
  by Bartolucci F. & Forcina A.
• Analysis of Capture-Recapture Data with a Rasch-Type Model Allowing for Conditional Dependence and Multidimensionality (RePEc:bla:biomet:v:57:y:2001:i:3:p:714-719)
  by Francesco Bartolucci & Antonio Forcina
• A Class of Latent Markov Models for Capture–Recapture Data Allowing for Time, Heterogeneity, and Behavior Effects (RePEc:bla:biomet:v:63:y:2007:i:2:p:568-578)
  by Francesco Bartolucci & Fulvia Pennoni
• A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates (RePEc:bla:biomet:v:71:y:2015:i:1:p:80-89)
  by Francesco Bartolucci & Alessio Farcomeni
• Exploring the dependencies among main cryptocurrency log‐returns: A hidden Markov model (RePEc:bla:ecnote:v:51:y:2022:i:1:n:e12193)
  by Fulvia Pennoni & Francesco Bartolucci & Gianfranco Forte & Ferdinando Ametrano
• On a possible decomposition of the h‐index (RePEc:bla:jamist:v:63:y:2012:i:10:p:2126-2127)
  by Francesco Bartolucci
• On a possible decomposition of the h-index (RePEc:bla:jinfst:v:63:y:2012:i:10:p:2126-2127)
  by Francesco Bartolucci
• A comparison between the g-index and the h-index based on concentration (RePEc:bla:jinfst:v:66:y:2015:i:12:p:2708-2710)
  by Francesco Bartolucci
• A latent Markov model for detecting patterns of criminal activity (RePEc:bla:jorssa:v:170:y:2007:i:1:p:115-132)
  by Francesco Bartolucci & Fulvia Pennoni & Brian Francis
• Ranking scientific journals via latent class models for polytomous item response data (RePEc:bla:jorssa:v:178:y:2015:i:4:p:1025-1049)
  by Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi
• A latent class growth model for migrants’ remittances: an application to the German Socio‐Economic Panel (RePEc:bla:jorssa:v:182:y:2019:i:4:p:1607-1632)
  by Silvia Bacci & Francesco Bartolucci & Giulia Bettin & Claudia Pigini
• A hidden Markov space–time model for mapping the dynamics of global access to food (RePEc:bla:jorssa:v:185:y:2022:i:1:p:246-266)
  by Francesco Bartolucci & Alessio Farcomeni
• Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities (RePEc:bla:jorssb:v:68:y:2006:i:2:p:155-178)
  by Francesco Bartolucci
• Longitudinal analysis of self-reported health status by mixture latent auto-regressive models (RePEc:bla:jorssc:v:63:y:2014:i:2:p:267-288)
  by Francesco Bartolucci & Silvia Bacci & Fulvia Pennoni
• Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market (RePEc:bla:jorssc:v:69:y:2020:i:4:p:711-739)
  by Federica Bianchi & Francesco Bartolucci & Stefano Peluso & Antonietta Mira
• A note on the mixture transition distribution and hidden Markov models (RePEc:bla:jtsera:v:31:y:2010:i:2:p:132-138)
  by Francesco Bartolucci & Alessio Farcomeni
• Focused Information Criterion for Capture–Recapture Models for Closed Populations (RePEc:bla:scjsta:v:35:y:2008:i:4:p:629-649)
  by Francesco Bartolucci & Monia Lupparelli
• CQUAD: Stata module to perform conditional maximum likelihood estimation of quadratic exponential models (RePEc:boc:bocode:s457891)
  by Francesco Bartolucci
• CQUADR: Stata module to estimate Quadratic Exponential models running the cquad R package (RePEc:boc:bocode:s458852)
  by Francesco Bartolucci & Claudia Pigini & Francesco Valentini
• A finite mixture latent trajectory model for modeling ultrarunners’ behavior in a 24-hour race (RePEc:bpj:jqsprt:v:11:y:2015:i:4:p:193-203:n:1)
  by Bartolucci Francesco & Murphy Thomas Brendan
• Determinants of Job Satisfaction in Young Russian Workers (RePEc:crj:dpaper:7_2015)
  by Francesco Bartolucci & Aleksandra Baschina & Giovanni S. F. Bruno & Olga Demidova & Marcello Signorelli
• A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n-Consistent Conditional Estimator (RePEc:ecm:emetrp:v:78:y:2010:i:2:p:719-733)
  by Francesco Bartolucci & Valentina Nigro
• Dealing with reciprocity in dynamic stochastic block models (RePEc:eee:csdana:v:123:y:2018:i:c:p:86-100)
  by Bartolucci, Francesco & Marino, Maria Francesca & Pandolfi, Silvia
• Developments of the Markov chain approach within the distribution theory of runs (RePEc:eee:csdana:v:36:y:2001:i:1:p:107-118)
  by Bartolucci, F.
• Likelihood-based inference for asymmetric stochastic volatility models (RePEc:eee:csdana:v:42:y:2003:i:3:p:445-449)
  by Bartolucci, F. & De Luca, G.
• Testing for positive association in contingency tables with fixed margins (RePEc:eee:csdana:v:47:y:2004:i:1:p:195-210)
  by Bartolucci, F. & Scaccia, L.
• The use of mixtures for dealing with non-normal regression errors (RePEc:eee:csdana:v:48:y:2005:i:4:p:821-834)
  by Bartolucci, F. & Scaccia, L.
• Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data (RePEc:eee:csdana:v:51:y:2007:i:7:p:3470-3483)
  by Bartolucci, Francesco & Nigro, Valentina
• Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data (RePEc:eee:csdana:v:56:y:2012:i:12:p:4067-4080)
  by Bartolucci, Francesco & Scaccia, Luisa & Farcomeni, Alessio
• Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data (RePEc:eee:csdana:v:71:y:2014:i:c:p:262-272)
  by Bacci, Silvia & Bartolucci, Francesco
• MultiLCIRT: An R package for multidimensional latent class item response models (RePEc:eee:csdana:v:71:y:2014:i:c:p:971-985)
  by Bartolucci, Francesco & Bacci, Silvia & Gnaldi, Michela
• A generalized multiple-try version of the Reversible Jump algorithm (RePEc:eee:csdana:v:72:y:2014:i:c:p:298-314)
  by Pandolfi, Silvia & Bartolucci, Francesco & Friel, Nial
• Three-step estimation of latent Markov models with covariates (RePEc:eee:csdana:v:83:y:2015:i:c:p:287-301)
  by Bartolucci, Francesco & Montanari, Giorgio E. & Pandolfi, Silvia
• Testing for state dependence in the fixed-effects ordered logit model (RePEc:eee:ecolet:v:222:y:2023:i:c:s0165176522004384)
  by Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco
• Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data (RePEc:eee:econom:v:170:y:2012:i:1:p:102-116)
  by Bartolucci, Francesco & Nigro, Valentina
• Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data (RePEc:eee:econom:v:184:y:2015:i:1:p:111-123)
  by Bartolucci, Francesco & Belotti, Federico & Peracchi, Franco
• Conditional inference for binary panel data models with predetermined covariates (RePEc:eee:ecosta:v:23:y:2022:i:c:p:83-104)
  by Pigini, Claudia & Bartolucci, Francesco
• Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data (RePEc:eee:ecosta:v:3:y:2017:i:c:p:112-131)
  by Bartolucci, Francesco & Bacci, Silvia & Pigini, Claudia
• Primary-school class composition and the development of social capital (RePEc:eee:soceps:v:72:y:2020:i:c:s0038012119303945)
  by Favaro, Donata & Sciulli, Dario & Bartolucci, Francesco
• On the role of latent variable models in the era of big data (RePEc:eee:stapro:v:136:y:2018:i:c:p:165-169)
  by Bartolucci, Francesco & Bacci, Silvia & Mira, Antonietta
• A penalized version of the empirical likelihood ratio for the population mean (RePEc:eee:stapro:v:77:y:2007:i:1:p:104-110)
  by Bartolucci, Francesco
• Testing for Time-Invariant Unobserved Heterogeneity in Generalized Linear Models for Panel Data (RePEc:eie:wpaper:1312)
  by Francesco Bartolucci & Federico Belotti & Franco Peracchi
• Ranking Scientific Journals via Latent Class Models for Polytomous Item Response (RePEc:eie:wpaper:1313)
  by Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi
• A note of caution in interpreting crosscountry correlations of COVID-19 vaccination and infection rates (RePEc:eie:wpaper:2118)
  by Francesco Bartolucci & Franco Peracchi & Daniele Terlizzese
• Differences in Birthweight Outcomes: A Longitudinal Study Based on Siblings (RePEc:gam:jijerp:v:11:y:2014:i:6:p:6472-6484:d:37321)
  by Silvia Bacci & Francesco Bartolucci & Manuela Chiavarini & Liliana Minelli & Luca Pieroni
• Bayesian inference for Latent Class model via MCMC with application to capture-recapture data (RePEc:ins:quaeco:qf0303)
  by Bartolucci Francesco & Mira Antonietta & Scaccia Luisa
• Efficient estimate of Bayes factors from Reversible Jump output (RePEc:ins:quaeco:qf0314)
  by Bartolucci Francesco & Mira Antonietta
• cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models (RePEc:jss:jstsof:v:078:i07)
  by Bartolucci, Francesco & Pigini, Claudia
• Adaptive Quadrature for Maximum Likelihood Estimation of a Class of Dynamic Latent Variable Models (RePEc:kap:compec:v:49:y:2017:i:4:d:10.1007_s10614-016-9573-4)
  by Silvia Cagnone & Francesco Bartolucci
• Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data (RePEc:kap:compec:v:61:y:2023:i:2:d:10.1007_s10614-021-10218-2)
  by Francesco Bartolucci & Francesco Valentini & Claudia Pigini
• A recursive algorithm for Markov random fields (RePEc:oup:biomet:v:89:y:2002:i:3:p:724-730)
  by Francesco Bartolucci
• Efficient Bayes factor estimation from the reversible jump output (RePEc:oup:biomet:v:93:y:2006:i:1:p:41-52)
  by Francesco Bartolucci & Luisa Scaccia & Antonietta Mira
• On the approximation of the quadratic exponential distribution in a latent variable context (RePEc:oup:biomet:v:94:y:2007:i:3:p:745-754)
  by Francesco Bartolucci & Fulvia Pennoni
• Job satisfaction and compensating wage differentials: Evidence from Russia (RePEc:oup:cesifo:v:63:y:2017:i:3:p:333-351.)
  by Francesco Bartolucci & Giovanni S F Bruno & Olga Demidova & Marcello Signorelli
• A joint model for longitudinal and survival data based on an AR(1) latent process (RePEc:pia:papers:00014/2015)
  by Silvia BACCI & Francesco BARTOLUCCI & Silvia PANDOLFI
• Exploring the dependencies among main cryptocurrency log-returns: A hidden Markov model (RePEc:pra:mprapa:106150)
  by Pennoni, Fulvia & Bartolucci, Francesco & Forte, Gianfranco & Ametrano, Ferdinando
• Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models (RePEc:pra:mprapa:110031)
  by Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco
• MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit (RePEc:pra:mprapa:110034)
  by Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco
• Testing for state dependence in the fixed-effects ordered logit model (RePEc:pra:mprapa:113890)
  by Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco
• A causal analysis of mother’s education on birth inequalities (RePEc:pra:mprapa:38754)
  by Bacci, Silvia & Bartolucci, Francesco & Pieroni, Luca
• Item selection by an extended Latent Class model: An application to nursing homes evaluation (RePEc:pra:mprapa:38757)
  by Bartolucci, Francesco & Giorgio E., Montanari & Pandolfi, Silvia
• An alternative to the Baum-Welch recursions for hidden Markov models (RePEc:pra:mprapa:38778)
  by Bartolucci, Francesco
• Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates (RePEc:pra:mprapa:39023)
  by Bartolucci, Francesco & Farcomeni, Alessio & Pennoni, Fulvia
• Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data (RePEc:pra:mprapa:40588)
  by Bartolucci, Francesco & Lupparelli, Monia
• Measuring concentration in economic sectors by h-index and g-index (RePEc:pra:mprapa:40628)
  by Bartolucci, Francesco
• Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator (RePEc:pra:mprapa:43430)
  by Bartolucci, Francesco & Grilli, Leonardo & Pieroni, Luca
• Testing for state dependence in binary panel data with individual covariates (RePEc:pra:mprapa:48233)
  by Bartolucci, Francesco & Nigro, Valentina & Pigini, Claudia
• Adaptive quadrature for likelihood inference on dynamic latent variable models for time-series and panel data (RePEc:pra:mprapa:51037)
  by Cagnone, Silvia & Bartolucci, Francesco
• Employment status and perceived health condition: longitudinal data from Italy (RePEc:pra:mprapa:55788)
  by Minelli, Liliana & Pigini, Claudia & Chiavarini, Manuela & Bartolucci, Francesco
• Differences in birth-weight outcomes: A longitudinal study based on siblings (RePEc:pra:mprapa:55789)
  by Bacci, Silvia & Bartolucci, Francesco & Chiavarini, Manuela & Minelli, Liliana & Pieroni, Luca
• A finite mixture latent trajectory model for hirings and separations in the labor market (RePEc:pra:mprapa:59730)
  by Bacci, Silvia & Bartolucci, Francesco & Pigini, Claudia & Signorelli, Marcello
• A misspecification test for finite-mixture logistic models for clustered binary and ordered responses (RePEc:pra:mprapa:64220)
  by Francesco, Bartolucci & Silvia, Bacci & Claudia, Pigini
• Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies (RePEc:pra:mprapa:66492)
  by Bartolucci, Francesco & Pennoni, Fulvia & Vittadini, Giorgio
• cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models (RePEc:pra:mprapa:67030)
  by Bartolucci, Francesco & Pigini, Claudia
• Composite likelihood inference for hidden Markov models for dynamic networks (RePEc:pra:mprapa:67242)
  by Bartolucci, Francesco & Marino, Maria Francesca & Pandolfi, Silvia
• Granger causality in dynamic binary short panel data models (RePEc:pra:mprapa:77486)
  by Bartolucci, Francesco & Pigini, Claudia
• A multilevel latent Markov model for the evaluation of nursing homes' performance (RePEc:pra:mprapa:80691)
  by Montanari, Giorgio E. & Doretti, Marco & Bartolucci, Francesco
• Evaluating time-varying treatment effects in latent Markov models: An application to the effect of remittances on poverty dynamics (RePEc:pra:mprapa:91459)
  by Tullio, Federico & Bartolucci, Francesco
• Partial effects estimation for fixed-effects logit panel data models (RePEc:pra:mprapa:92243)
  by Bartolucci, Francesco & Pigini, Claudia
• Are attitudes towards immigration changing in Europe? An analysis based on bidimensional latent class IRT models (RePEc:pra:mprapa:94672)
  by Genge, Ewa & Bartolucci, Francesco
• Maximum likelihood estimation of an extended latent markov model for clustered binary panel data (RePEc:rtv:ceisrp:96)
  by Francesco Bartolucci & Valentina Nigro
• A dynamic model for binary panel data with unobserved heterogeneity admitting a Vn-consistent conditional estimator (RePEc:rtv:ceisrp:97)
  by Francesco Bartolucci† & Valentina Nigro
• Assessment of School Performance Through a Multilevel Latent Markov Rasch Model (RePEc:sae:jedbes:v:36:y:2011:i:4:p:491-522)
  by Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini
• Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies (RePEc:sae:jedbes:v:41:y:2016:i:2:p:146-179)
  by Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini
• A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development (RePEc:sae:jedbes:v:48:y:2023:i:4:p:387-419)
  by Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini
• Item selection by latent class-based methods: an application to nursing home evaluation (RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0232-3)
  by Francesco Bartolucci & Giorgio E. Montanari & Silvia Pandolfi
• A bivariate finite mixture growth model with selection (RePEc:spr:advdac:v:15:y:2021:i:3:d:10.1007_s11634-020-00433-4)
  by David Aristei & Silvia Bacci & Francesco Bartolucci & Silvia Pandolfi
• Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models (RePEc:spr:advdac:v:16:y:2022:i:2:d:10.1007_s11634-021-00479-y)
  by Ewa Genge & Francesco Bartolucci
• Tempered expectation-maximization algorithm for the estimation of discrete latent variable models (RePEc:spr:compst:v:38:y:2023:i:3:d:10.1007_s00180-022-01276-7)
  by Luca Brusa & Francesco Bartolucci & Fulvia Pennoni
• Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models (RePEc:spr:compst:v:38:y:2023:i:3:d:10.1007_s00180-022-01321-5)
  by Luca Brusa & Francesco Bartolucci & Fulvia Pennoni
• Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models (RePEc:spr:empeco:v:64:y:2023:i:5:d:10.1007_s00181-022-02313-6)
  by Francesco Bartolucci & Claudia Pigini & Francesco Valentini
• Effects of individual and social factors on preterm birth and low birth weight: empirical evidence from regional data in Italy (RePEc:spr:ijphth:v:57:y:2012:i:2:p:261-268)
  by Manuela Chiavarini & Francesco Bartolucci & Alessio Gili & Luca Pieroni & Liliana Minelli
• Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures (RePEc:spr:jclass:v:22:y:2005:i:2:p:203-219)
  by Francesco Bartolucci
• Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation (RePEc:spr:jclass:v:35:y:2018:i:1:d:10.1007_s00357-017-9227-9)
  by Francesco Bartolucci & Giorgio E. Montanari & Silvia Pandolfi
• Latent variable models for the analysis of socio-economic data (RePEc:spr:metron:v:73:y:2015:i:2:p:151-154)
  by Marco Alfó & Francesco Bartolucci
• Likelihood inference on the underlying structure of IRT models (RePEc:spr:psycho:v:70:y:2005:i:1:p:31-43)
  by Francesco Bartolucci & Antonio Forcina
• A class of multidimensional IRT models for testing unidimensionality and clustering items (RePEc:spr:psycho:v:72:y:2007:i:2:p:141-157)
  by Francesco Bartolucci
• Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood (RePEc:spr:psycho:v:75:y:2010:i:4:p:725-743)
  by Francesco Bartolucci & Ivonne Solis-Trapala
• Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models (RePEc:spr:psycho:v:77:y:2012:i:4:p:782-802)
  by F. Bartolucci & G. Montanari & S. Pandolfi
• A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework (RePEc:spr:psycho:v:82:y:2017:i:4:d:10.1007_s11336-017-9576-7)
  by Francesco Bartolucci & Alessio Farcomeni & Luisa Scaccia
• Book Review of Mixture and Hidden Markov Models with R by Visser & Speekenbrink (RePEc:spr:psycho:v:89:y:2024:i:2:d:10.1007_s11336-024-09958-5)
  by Francesco Bartolucci & Fulvia Pennoni
• Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink (RePEc:spr:psycho:v:89:y:2024:i:3:d:10.1007_s11336-024-09989-y)
  by Francesco Bartolucci & Fulvia Pennoni
• An Analysis of the Effect of Streaming on Civic Participation Through a Causal Hidden Markov Model (RePEc:spr:soinre:v:172:y:2024:i:1:d:10.1007_s11205-023-03261-z)
  by Francesco Bartolucci & Donata Favaro & Fulvia Pennoni & Dario Sciulli
• Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence (RePEc:spr:stmapp:v:28:y:2019:i:3:d:10.1007_s10260-019-00467-9)
  by Francesco Bartolucci & Fulvia Pennoni
• On estimating the variance of the systematic sample mean (RePEc:spr:stmapp:v:7:y:1998:i:2:p:185-196)
  by Giorgio Montanari & Francesco Bartolucci
• Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates (RePEc:spr:testjl:v:23:y:2014:i:3:p:433-465)
  by F. Bartolucci & A. Farcomeni & F. Pennoni
• Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates (RePEc:spr:testjl:v:23:y:2014:i:3:p:484-486)
  by F. Bartolucci & A. Farcomeni & F. Pennoni
• A causal hidden Markov model for assessing effects of multiple direct mail campaigns (RePEc:spr:testjl:v:32:y:2023:i:4:d:10.1007_s11749-023-00877-8)
  by Fulvia Pennoni & Leonard J. Paas & Francesco Bartolucci
• GDP dynamics and unemployment changes in developed and developing countries (RePEc:taf:applec:v:50:y:2018:i:31:p:3338-3356)
  by Francesco Bartolucci & Misbah T. Choudhry & Enrico Marelli & Marcello Signorelli
• Modified Profile Likelihood for Fixed-Effects Panel Data Models (RePEc:taf:emetrv:v:35:y:2016:i:7:p:1271-1289)
  by F. Bartolucci & R. Bellio & A. Salvan & N. Sartori
• Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model (RePEc:taf:emetrv:v:37:y:2018:i:1:p:61-88)
  by Francesco Bartolucci & Valentina Nigro & Claudia Pigini
• MCMC conditional maximum likelihood for the two-way fixed-effects logit (RePEc:taf:emetrv:v:43:y:2024:i:6:p:379-404)
  by Francesco Bartolucci & Claudia Pigini & Francesco Valentini
• Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data (RePEc:taf:jnlasa:v:111:y:2016:i:513:p:216-228)
  by Francesco Bartolucci & Monia Lupparelli
• Maximum likelihood estimation of a latent variable time‐series model (RePEc:wly:apsmbi:v:17:y:2001:i:1:p:5-17)
  by Francesco Bartolucci & Giovanni De Luca