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Claudia Pigini

Personal Details

First Name:Claudia
Middle Name:
Last Name:Pigini
Suffix:
RePEc Short-ID:ppi250
Terminal Degree:2012 Dipartimento di Scienze Economiche e Sociali; Facoltà di Economia "Giorgio Fuà"; Università Politecnica delle Marche (from RePEc Genealogy)

Affiliation

(90%) Dipartimento di Scienze Economiche e Sociali
Facoltà di Economia "Giorgio Fuà"
Università Politecnica delle Marche

Ancona, Italy
http://www.dises.univpm.it/
RePEc:edi:deancit (more details at EDIRC)

(10%) Money and Finance Research group (Mo.Fi.R.)

Ancona, Italy
http://www.mofir.univpm.it/
RePEc:edi:mfancit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software Chapters

Working papers

  1. Riccardo Lucchetti & Luca Pedini & Claudia Pigini, 2021. "Bayesian Model Averaging For Propensity Score Matching In Tax Rebate," Working Papers 457, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  2. Giulia Bettin & Claudia Pigini & Alberto Zazzaro, 2020. "Financial inclusion and poverty transitions: an empirical analysis for Italy," Mo.Fi.R. Working Papers 164, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
  3. Riccardo (Jack) Lucchetti & Claudia Pigini, 2020. "Choice of solutions to the initial-conditions problem in dynamic panel probit models," Working Papers 2020:27, Department of Economics, University of Venice "Ca' Foscari".
  4. Claudia Pigini & Stefano Staffolani, 2019. "Firing Costs And Job Loss: The Case Of The Italian Jobs Act," Working Papers 443, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  5. Claudia Pigini, 2019. "Penalized Maximum Likelihood Estimation Of Logit-Based Early Warning Systems," Working Papers 441, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  6. Matteo Picchio & Claudia Pigini & Stefano Staffolani & Alina Verashchagina, 2018. "If not now, when? The timing of childbirth and labour market outcomes," Working Papers 425, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  7. Riccardo Lucchetti & Claudia Pigini, 2018. "Dynamic panel probit: finite-sample performance of alternative random-effects estimators," Working Papers 426, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  8. Francesco Bartolucci & Claudia Pigini, 2018. "Partial effects estimation for fixed-effects logit panel data models," Working Papers 431, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  9. 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 145, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
  10. Francesco Bartolucci & Claudia Pigini, 2017. "Granger causality in dynamic binary short panel data models," Working Papers 421, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  11. Giulia Bettin & Riccardo Lucchetti & Claudia Pigini, 2016. "State dependence and unobserved heterogeneity in a double hurdle model for remittances: evidence from immigrants to Germany," Mo.Fi.R. Working Papers 127, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
  12. Francesco, Bartolucci & Silvia, Bacci & Claudia, Pigini, 2015. "A misspecification test for finite-mixture logistic models for clustered binary and ordered responses," MPRA Paper 64220, University Library of Munich, Germany.
  13. Bartolucci, Francesco & Pigini, Claudia, 2015. "cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models," MPRA Paper 67030, University Library of Munich, Germany.
  14. Riccardo Lucchetti & Claudia Pigini, 2015. "DPB: Dynamic Panel Binary data models in Gretl," gretl working papers 1, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, revised 24 Apr 2015.
  15. Elizabeth Jane CASABIANCA & Alessia LO TURCO & Claudia PIGINI, 2015. "Women at work. A task analysis of the gender wage gap," Working Papers 412, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  16. Riccardo LUCCHETTI & Claudia PIGINI, 2014. "A simple and effective misspecification test for the double-hurdle model," Working Papers 397, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  17. Claudia Pigini & Andrea Filippo Presbitero & Alberto Zazzaro, 2014. "State Dependence in Access to Credit," Mo.Fi.R. Working Papers 102, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
  18. 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 59730, University Library of Munich, Germany.
  19. 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.
  20. 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.
  21. Pigini, Claudia & Staffolani, Stefano, 2013. "Enrollment costs, university quality and higher education choices in Italy," MPRA Paper 50364, University Library of Munich, Germany.
  22. Stefano STAFFOLANI & Claudia PIGINI, 2012. "Enrolment Decision and University Choice;of Italian Secondary School Graduates," Working Papers 380, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  23. Claudia PIGINI, 2012. "Of Butterflies and Caterpillars: Bivariate Normality in the Sample Selection Model," Working Papers 377, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  24. Claudia PIGINI, 2011. "The Determinants of University Students Success: a Bivariate Latent Variable Model," Working Papers 354, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  25. Riccardo LUCCHETTI & Claudia PIGINI, 2011. "Conditional Moment Tests for Normality in Bivariate Limited Dependent Variable Models: a Monte Carlo Study," Working Papers 357, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

Articles

  1. Pigini, Claudia, 2021. "Penalized maximum likelihood estimation of logit-based early warning systems," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1156-1172.
  2. Elizabeth J. Casabianca & Alessia Lo Turco & Claudia Pigini, 2020. "Equal Pay for Equal Task: Assessing Heterogeneous Returns to Tasks across Genders," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 59(2), pages 197-239, April.
  3. Camilla Mazzoli & Claudia Pigini & Sabrina Severini, 2020. "Back to the Origins of the Initial Public Offerings Price Range: Underwriter-Funds Network and Information Production Timeline," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(11), pages 1-91, November.
  4. 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, vol. 182(4), pages 1607-1632, October.
  5. Claudia Pigini & Stefano Staffolani, 2019. "Teleworkers in Italy: who are they? Do they make more?," International Journal of Manpower, Emerald Group Publishing, vol. 40(2), pages 265-285, May.
  6. Elizabeth J. Casabianca & Alessia Lo Turco & Claudia Pigini, 2019. "Import penetration and returns to tasks: recent evidence from the Peruvian labour market," Empirical Economics, Springer, vol. 56(2), pages 551-617, February.
  7. Bettin, Giulia & Lucchetti, Riccardo & Pigini, Claudia, 2018. "A dynamic double hurdle model for remittances: evidence from Germany," Economic Modelling, Elsevier, vol. 73(C), pages 365-377.
  8. 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, vol. 37(1), pages 61-88, January.
  9. 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, vol. 3(C), pages 112-131.
  10. 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, vol. 78(i07).
  11. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
  12. Pigini, Claudia & Presbitero, Andrea F. & Zazzaro, Alberto, 2016. "State dependence in access to credit," Journal of Financial Stability, Elsevier, vol. 27(C), pages 17-34.
  13. Pigini Claudia, 2015. "Bivariate Non-Normality in the Sample Selection Model," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-22, January.
  14. Lucchetti, Riccardo & Pigini, Claudia, 2014. "A simple and effective misspecification test for the double-hurdle model," Economics Letters, Elsevier, vol. 123(1), pages 75-78.
  15. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.

Software components

  1. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2020. "CQUADR: Stata module to estimate Quadratic Exponential models running the cquad R package," Statistical Software Components S458852, Boston College Department of Economics, revised 31 Oct 2020.
  2. Claudia Pigini, 2015. "DPB: gretl function to estimate dynamic binary models for panel data," Statistical Software Components GR00001, Boston College Department of Economics.

Chapters

  1. Claudia Pigini & Stefano Staffolani, 2015. "The Effect of University Costs and Institutional Incentives on Enrolments: Empirical Evidence for Italian Regions," AIEL Series in Labour Economics, in: Chiara Mussida & Francesco Pastore (ed.), Geographical Labor Market Imbalances. Recent Explanations and Cures, edition 1, chapter 12, pages 261-282, AIEL - Associazione Italiana Economisti del Lavoro.

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. Claudia Pigini, 2019. "Penalized Maximum Likelihood Estimation Of Logit-Based Early Warning Systems," Working Papers 441, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit," MPRA Paper 110034, University Library of Munich, Germany.

  2. Matteo Picchio & Claudia Pigini & Stefano Staffolani & Alina Verashchagina, 2018. "If not now, when? The timing of childbirth and labour market outcomes," Working Papers 425, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Debora Di Gioacchino & Emanuela Ghignoni & Alina Verashchagina, 2020. "To be or not to be a (good) mother: Life-long decisions of women in Italy," Working Papers 193, University of Rome La Sapienza, Department of Public Economics.

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

    Cited by:

    1. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Zehn Jahre nach dem großen Knall: wie ist es um die Stabilität der internationalen Immobilienmärkte bestellt? [Ten years after a Big Bang: How stable are the international housing markets?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 67-87, November.
    2. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," MPRA Paper 110031, University Library of Munich, Germany.

  4. 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 145, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.

    Cited by:

    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), vol. 15(3), pages 759-793, September.

  5. Francesco, Bartolucci & Silvia, Bacci & Claudia, Pigini, 2015. "A misspecification test for finite-mixture logistic models for clustered binary and ordered responses," MPRA Paper 64220, University Library of Munich, Germany.

    Cited by:

    1. 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. Bartolucci, Francesco & Pigini, Claudia, 2015. "cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models," MPRA Paper 67030, University Library of Munich, Germany.

    Cited by:

    1. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    2. Bartolucci, Francesco & Pigini, Claudia, 2019. "Partial effects estimation for fixed-effects logit panel data models," MPRA Paper 92243, University Library of Munich, Germany.
    3. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Zehn Jahre nach dem großen Knall: wie ist es um die Stabilität der internationalen Immobilienmärkte bestellt? [Ten years after a Big Bang: How stable are the international housing markets?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 67-87, November.
    4. Li, Wenhua & Adachi, Tsuyoshi, 2017. "Quantitative estimation of resource nationalism by binary choice logit model for panel data," Resources Policy, Elsevier, vol. 53(C), pages 247-258.
    5. Bartolucci, Francesco & Pigini, Claudia, 2017. "Granger causality in dynamic binary short panel data models," MPRA Paper 77486, University Library of Munich, Germany.

  7. Riccardo Lucchetti & Claudia Pigini, 2015. "DPB: Dynamic Panel Binary data models in Gretl," gretl working papers 1, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, revised 24 Apr 2015.

    Cited by:

    1. Elena Giarda & Gloria Moroni, 2015. "‘It’s a trap!’ The degree of poverty persistence in Italy and Europe," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0055, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    2. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
    3. Sven Schreiber & Miriam Beblo, 2016. "Leisure and Housing Consumption after Retirement: New Evidence on the Life-Cycle Hypothesis," SOEPpapers on Multidisciplinary Panel Data Research 849, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. 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, vol. 78(i07).
    5. Giulia Bettin & Riccardo Lucchetti, 2016. "Steady streams and sudden bursts: persistence patterns in remittance decisions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 263-292, January.
    6. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
    7. Riccardo Lucchetti & Claudia Pigini, 2018. "Dynamic panel probit: finite-sample performance of alternative random-effects estimators," Working Papers 426, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Riccardo (Jack) Lucchetti & Claudia Pigini, 2020. "Choice of solutions to the initial-conditions problem in dynamic panel probit models," Working Papers 2020:27, Department of Economics, University of Venice "Ca' Foscari".

  8. Riccardo LUCCHETTI & Claudia PIGINI, 2014. "A simple and effective misspecification test for the double-hurdle model," Working Papers 397, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Elvina Merkaj & Riccardo Lucchetti & Fabio Fiorillo, 2020. "The role of local leaders in regional development funding: Evidence from an elite survey," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 712-737, September.

  9. Claudia Pigini & Andrea Filippo Presbitero & Alberto Zazzaro, 2014. "State Dependence in Access to Credit," Mo.Fi.R. Working Papers 102, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.

    Cited by:

    1. Alessandro Girardi & Marco Ventura, 2021. "Measuring credit crunch in Italy: evidence from a survey-based indicator," Annals of Operations Research, Springer, vol. 299(1), pages 567-592, April.
    2. Gregory F Udell, 2015. "SME Access to Intermediated Credit: What Do We Know and What Don't We Know?," RBA Annual Conference Volume (Discontinued), in: Angus Moore & John Simon (ed.),Small Business Conditions and Finance, Reserve Bank of Australia.
    3. Girardi, Alessandro & Ventura, Marco & Margani, Patrizia, 2018. "An Indicator of Credit Crunch using Italian Business Surveys," MPRA Paper 88839, University Library of Munich, Germany.
    4. Degryse, Hans & Matthews, Kent & Zhao, Tianshu, 2018. "SMEs and access to bank credit: Evidence on the regional propagation of the financial crisis in the UK," Journal of Financial Stability, Elsevier, vol. 38(C), pages 53-70.
    5. Francesco Aiello & Graziella Bonanno & Stefania Patrizia Sonia Rossi, 2019. "Risk Aversion And Entrepreneurship: Financing Innovation For Smes Across Europe. Evidence From Multilevel Models," Working Papers 201902, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    6. Doumpos, Michael & Hasan, Iftekhar & Pasiouras, Fotios, 2017. "Bank overall financial strength: Islamic versus conventional banks," Economic Modelling, Elsevier, vol. 64(C), pages 513-523.
    7. Mascia, Danilo V. & Rossi, Stefania P.S., 2017. "Is there a gender effect on the cost of bank financing?," Journal of Financial Stability, Elsevier, vol. 31(C), pages 136-153.
    8. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    9. Ferrando, Annalisa & Popov, Alexander & Udell, Gregory F., 2017. "Sovereign stress and SMEs’ access to finance: Evidence from the ECB's SAFE survey," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 65-80.
    10. 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, vol. 37(1), pages 61-88, January.
    11. Gabriele Angori & David Aristei, 2020. "Heterogeneity and state dependence in firms’ access to credit: Microevidence from the euro area," SEEDS Working Papers 0220, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Feb 2020.
    12. Annalisa Ferrando & Alexander Popov & Gregory F. Udell, 2019. "Do SMEs Benefit from Unconventional Monetary Policy and How? Microevidence from the Eurozone," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(4), pages 895-928, June.
    13. Ferrando, Annalisa & Popov, Alexander & Udell, Gregory F., 2015. "Sovereign stress, unconventional monetary policy, and SME access to finance," Working Paper Series 1820, European Central Bank.
    14. Francesco Aiello & Graziella Bonanno & Stefania P. S. Rossi, 2020. "How firms finance innovation. Further empirics from European SMEs," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 689-714, November.
    15. Bartolucci, Francesco & Pigini, Claudia, 2017. "Granger causality in dynamic binary short panel data models," MPRA Paper 77486, University Library of Munich, Germany.

  10. 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.

    Cited by:

    1. Katarzyna Piwowar-Sulej & Dominika Bąk-Grabowska, 2020. "Non-Permanent Employment and Employees’ Health in the Context of Sustainable HRM with a Focus on Poland," Social Sciences, MDPI, vol. 9(7), pages 1-23, July.
    2. Akanksha Choudhary & Ashish Singh, 2018. "Effect of intergenerational educational mobility on health of Indian women," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-16, September.
    3. Yuxi Wang & Giovanni Fattore, 2020. "The impact of the great economic crisis on mental health care in Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1259-1272, November.
    4. Chiara Mussida & Raffaella Patimo, 2021. "Women’s Family Care Responsibilities, Employment and Health: A Tale of Two Countries," Journal of Family and Economic Issues, Springer, vol. 42(3), pages 489-507, September.
    5. Giovanni Piumatti, 2020. "Longitudinal Trends in Self-Rated Health During Times of Economic Uncertainty in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 599-633, April.

  11. 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.

    Cited by:

    1. Franco Peracchi & Claudio Rossetti, 2019. "A Nonlinear Dynamic Factor Model of Health and Medical Treatment," CSEF Working Papers 524, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    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, vol. 78(i07).
    3. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).

  12. Pigini, Claudia & Staffolani, Stefano, 2013. "Enrollment costs, university quality and higher education choices in Italy," MPRA Paper 50364, University Library of Munich, Germany.

    Cited by:

    1. Emanuela Ghignoni, 2016. "The ‘great escape’ from Italian Universities: Do labour market recruitment channels matter?," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 2016(106), pages 49-75.
    2. Emanuela Ghignoni, 2015. "Family background and university dropouts during the crisis: the case of Italy," Working Papers 169, University of Rome La Sapienza, Department of Public Economics.
    3. Emanuela Ghignoni, 2017. "Who do you know or what do you know? Informal recruitment channels, family background and university enrolments," Working Papers 179, University of Rome La Sapienza, Department of Public Economics.
    4. Umut Türk, 2019. "Socio-Economic Determinants of Student Mobility and Inequality of Access to Higher Education in Italy," Networks and Spatial Economics, Springer, vol. 19(1), pages 125-148, March.

  13. Stefano STAFFOLANI & Claudia PIGINI, 2012. "Enrolment Decision and University Choice;of Italian Secondary School Graduates," Working Papers 380, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Checchi, Daniele & Fiorio, Carlo V. & Leonardi, Marco, 2014. "Parents' risk aversion and children's educational attainment," Labour Economics, Elsevier, vol. 30(C), pages 164-175.
    2. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    3. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  14. Claudia PIGINI, 2012. "Of Butterflies and Caterpillars: Bivariate Normality in the Sample Selection Model," Working Papers 377, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Marra, Giampiero & Wyszynski, Karol, 2016. "Semi-parametric copula sample selection models for count responses," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 110-129.
    2. VAN KERM Philippe & YU Seunghee & CHOE Chung, 2014. "Wage differentials between native, immigrant and cross-border workers: Evidence and model comparisons," LISER Working Paper Series 2014-05, LISER.
    3. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    4. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  15. Claudia PIGINI, 2011. "The Determinants of University Students Success: a Bivariate Latent Variable Model," Working Papers 354, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Lenzu, Simone & Tedeschi, Gabriele, 2012. "Systemic risk on different interbank network topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4331-4341.
    2. Luca RICCETTI, 2011. "A Copula-GARCH Model for Macro Asset Allocation of a Portfolio with Commodities: an Out-of-Sample Analysis," Working Papers 355, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    4. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Alberto Russo, 2014. "A Stochastic Model of Wealth Accumulation with Class Division," Metroeconomica, Wiley Blackwell, vol. 65(1), pages 1-35, February.
    6. Elena AMBROSETTI & Eralba CELA & Tineke FOKKEMA, 2011. "The Remittances Behaviour of the Second Generation in Europe: Altruism or Self-Interest?," Working Papers 368, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Alessandro STERLACCHINI, 2012. "Patent Oppositions as Competitive Tools: An Analysis of the Major Players in the European Market of White Goods," Working Papers 374, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  16. Riccardo LUCCHETTI & Claudia PIGINI, 2011. "Conditional Moment Tests for Normality in Bivariate Limited Dependent Variable Models: a Monte Carlo Study," Working Papers 357, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Lenzu, Simone & Tedeschi, Gabriele, 2012. "Systemic risk on different interbank network topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4331-4341.
    2. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    3. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Miguel Santolino & Catalina Bolancé & Manuela Alcañiz, 2011. "Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain," IREA Working Papers 201119, University of Barcelona, Research Institute of Applied Economics, revised Oct 2011.
    5. Alberto Russo, 2014. "A Stochastic Model of Wealth Accumulation with Class Division," Metroeconomica, Wiley Blackwell, vol. 65(1), pages 1-35, February.
    6. Claudia PIGINI, 2012. "Of Butterflies and Caterpillars: Bivariate Normality in the Sample Selection Model," Working Papers 377, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Elena AMBROSETTI & Eralba CELA & Tineke FOKKEMA, 2011. "The Remittances Behaviour of the Second Generation in Europe: Altruism or Self-Interest?," Working Papers 368, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Alessandro STERLACCHINI, 2012. "Patent Oppositions as Competitive Tools: An Analysis of the Major Players in the European Market of White Goods," Working Papers 374, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

Articles

  1. Pigini, Claudia, 2021. "Penalized maximum likelihood estimation of logit-based early warning systems," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1156-1172.
    See citations under working paper version above.
  2. 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, vol. 182(4), pages 1607-1632, October.

    Cited by:

    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), vol. 15(3), pages 759-793, September.

  3. Claudia Pigini & Stefano Staffolani, 2019. "Teleworkers in Italy: who are they? Do they make more?," International Journal of Manpower, Emerald Group Publishing, vol. 40(2), pages 265-285, May.

    Cited by:

    1. Bonacini, Luca & Gallo, Giovanni & Scicchitano, Sergio, 2021. "Will it be a shecession? The unintended influence of working from home on the gender wage gap related to the COVID-19 pandemic," GLO Discussion Paper Series 771, Global Labor Organization (GLO).
    2. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.
    3. Manuel Denzer & Philipp Grunau, 2021. "The Impacts of Working from Home on Individual Health and Well-being," Working Papers 2106, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

  4. Elizabeth J. Casabianca & Alessia Lo Turco & Claudia Pigini, 2019. "Import penetration and returns to tasks: recent evidence from the Peruvian labour market," Empirical Economics, Springer, vol. 56(2), pages 551-617, February.

    Cited by:

    1. Elizabeth J. Casabianca & Alessia Lo Turco & Claudia Pigini, 2020. "Equal Pay for Equal Task: Assessing Heterogeneous Returns to Tasks across Genders," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 59(2), pages 197-239, April.
    2. Budría, Santiago & Milgram Baleix, Juliette, 2020. "Offshoring, job satisfaction and job insecurity," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW), vol. 14, pages 1-32.
    3. Farole, Thomas & Hollweg, Claire & Winkler, Deborah, 2018. "Trade in Global Value Chain: An Assessment of Labor Market Implication," Jobs Group Papers, Notes, and Guides 30318036, The World Bank.

  5. Bettin, Giulia & Lucchetti, Riccardo & Pigini, Claudia, 2018. "A dynamic double hurdle model for remittances: evidence from Germany," Economic Modelling, Elsevier, vol. 73(C), pages 365-377.

    Cited by:

    1. Md. Qamruzzaman (a) and Wei Jianguo (b), 2020. "Nexus between Remittance and Household Consumption: Fresh Evidence from Symmetric or Asymmetric Investigation," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 45(3), pages 1-27, September.

  6. 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, vol. 37(1), pages 61-88, January.

    Cited by:

    1. Franco Peracchi & Claudio Rossetti, 2019. "A Nonlinear Dynamic Factor Model of Health and Medical Treatment," CSEF Working Papers 524, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.

  7. 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, vol. 78(i07).
    See citations under working paper version above.
  8. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    See citations under working paper version above.
  9. Pigini, Claudia & Presbitero, Andrea F. & Zazzaro, Alberto, 2016. "State dependence in access to credit," Journal of Financial Stability, Elsevier, vol. 27(C), pages 17-34.
    See citations under working paper version above.
  10. Pigini Claudia, 2015. "Bivariate Non-Normality in the Sample Selection Model," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-22, January.

    Cited by:

    1. Ekaterina Selezneva & Philippe Van Kerm, 2016. "A distribution-sensitive examination of the gender wage gap in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 21-40, March.
    2. Giulia Bettin & Riccardo Lucchetti & Claudia Pigini, 2016. "State dependence and unobserved heterogeneity in a double hurdle model for remittances: evidence from immigrants to Germany," Mo.Fi.R. Working Papers 127, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    3. Kossova, Elena & Kupriianova, Liubov & Potanin, Bogdan, 2020. "Parametric and semiparametric multivariate sample selection models estimators’ accuracy: Comparative analysis on simulated data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 119-139.
    4. Maarten Goos & Anna Salomons, 2017. "Measuring teaching quality in higher education: assessing selection bias in course evaluations," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(4), pages 341-364, June.
    5. Mark McGovern & David Canning & Till Bärnighausen, 2018. "Accounting for Non-Response Bias using Participation Incentives and Survey Design," CHaRMS Working Papers 18-02, Centre for HeAlth Research at the Management School (CHaRMS).

  11. Lucchetti, Riccardo & Pigini, Claudia, 2014. "A simple and effective misspecification test for the double-hurdle model," Economics Letters, Elsevier, vol. 123(1), pages 75-78.
    See citations under working paper version above.
  12. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.

    Cited by:

    1. Lucchetti, Riccardo & Pigini, Claudia, 2014. "A simple and effective misspecification test for the double-hurdle model," Economics Letters, Elsevier, vol. 123(1), pages 75-78.
    2. Pigini Claudia, 2015. "Bivariate Non-Normality in the Sample Selection Model," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-22, January.
    3. Dalla Valle Luciana, 2016. "The Use of Official Statistics in Self-Selection Bias Modeling," Journal of Official Statistics, Sciendo, vol. 32(4), pages 887-905, December.

Software components

    Sorry, no citations of software components recorded.

Chapters

    Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 29 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DCM: Discrete Choice Models (12) 2013-07-20 2013-10-11 2014-05-17 2015-07-25 2015-10-10 2017-04-02 2017-05-07 2018-02-19 2018-09-10 2019-02-25 2019-11-18 2021-04-05. Author is listed
  2. NEP-ECM: Econometrics (12) 2012-06-25 2013-07-20 2014-01-17 2014-12-03 2015-05-16 2016-08-07 2017-04-02 2018-02-19 2018-09-10 2019-11-18 2021-04-05 2021-07-12. Author is listed
  3. NEP-ORE: Operations Research (7) 2015-01-03 2015-10-10 2018-09-10 2019-02-25 2019-12-02 2021-04-05 2021-07-12. Author is listed
  4. NEP-EDU: Education (6) 2011-01-23 2012-10-13 2013-10-11 2018-02-19 2018-02-26 2018-03-05. Author is listed
  5. NEP-EUR: Microeconomic European Issues (5) 2014-05-17 2016-08-07 2018-01-01 2019-12-02 2020-08-10. Author is listed
  6. NEP-LMA: Labor Markets - Supply, Demand, & Wages (4) 2015-12-01 2018-02-19 2018-03-05 2019-12-02
  7. NEP-ETS: Econometric Time Series (3) 2017-04-02 2017-05-07 2018-02-19
  8. NEP-DEM: Demographic Economics (2) 2018-02-19 2018-02-26
  9. NEP-FDG: Financial Development & Growth (2) 2020-08-10 2020-09-28
  10. NEP-FLE: Financial Literacy & Education (2) 2020-08-10 2020-09-28
  11. NEP-CSE: Economics of Strategic Management (1) 2016-08-07
  12. NEP-HAP: Economics of Happiness (1) 2014-05-17
  13. NEP-HEA: Health Economics (1) 2014-05-17
  14. NEP-LAB: Labour Economics (1) 2011-01-23
  15. NEP-MIG: Economics of Human Migration (1) 2016-08-07
  16. NEP-PUB: Public Finance (1) 2021-07-12
  17. NEP-SOG: Sociology of Economics (1) 2011-01-23
  18. NEP-UPT: Utility Models & Prospect Theory (1) 2013-10-11

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