Address book
Contacts
OMAR PACCAGNELLA
Position
Professore Associato
Structure
Address
VIA CESARE BATTISTI, 241/243 - PADOVA
Telephone
0498274154
Current position:
Associate Professor in Economic Statistics (since November 2014), having the National Scientific Qualification to function as full professor in Italian Universities (since July 2017)
Previous positions:
- December 2008 / October 2014: Assistant Professor in Economic Statistics, Department of Statistical Sciences, University of Padua
- July 2006 / November 2008: Full time senior researcher within the “Survey of Health, Ageing and Retirement in Europe: Integrating Activities to Access the Time Dimension and to Enlarge the Cross-national (SHARE-I3)” project, Department of Economics, University of Padua.
- February 2005 / June 2006: Full time senior researcher within the “Advanced Multidisciplinary Analysis of New Data on Ageing” (AMANDA) project, Department of Economics, University of Padua
- February 2003 / January 2005: Research fellow on “Health, Social Security and Household Saving Decisions. Analysis of New Data on Ageing” (SHARE Project), Department of Economics, University of Padua.
Education:
- February 2003: Ph.D. in Applied Statistics to Economic and Social Sciences, Department of Statistics, University of Padua
- November 1998: Degree (cum lode) in Statistic and Economic Sciences, Faculty of Statistics, University of Padua
Last Research Projects:
- "Advances in Multilevel and Longitudinal Modelling", funded by the University of Padua (PI)
- “Achieving World-Class Standards In All Share Countries” (SHARE-DEV3), Horizon 2020 project
- “Synergies For Europe'S Research Infrastructures In The Social Sciences” (SERISS), Horizon 2020 project
- “Care, REtirement and Wellbeing of older people across different welfare regimes” (CREW), JPI – More Years, Better Lives, European project
Awards & Grants:
- “Visiting Scholars – Grant Program 2013” for the project “Application of advanced econometric approaches for studying ageing”, funded by Fondazione Cassa di Risparmio di Padova e Rovigo (the research activity was carried out at the University College London – Department of Epidemiology and Public Health between June and August 2015)
- Award for the best paper in "Applied Statistics" for the paper "A new tool for measuring customer satisfaction: the Anchoring Vignette approach" in the conference "Il valore della statistica per le imprese e la società. Ricerche di opinione e di mercato", Milan, February 14-15, 2013
- "Premio alla ricerca" (Research award) - 2011, from the Department of Statistical Sciences, University of Padua for the paper "Anchoring Vignettes with sample selection due to non-response", Journal of the Royal Statistical Society - Series A, Statistics in Society 174 (2011), 665-687
Referee reports for the journals:
Aging Clinical and Experimental Research; Empirical Economics; European Journal of Ageing; Health Economics; International Journal of Public Opinion Research; Journal of Applied Statistics; Journal of European Social Policy; Journal of Health Economics; Labour; Methodology – European Journal of Research Methods for the Behavioral and Social Sciences; Multivariate Behavioral Research; Oxford Bulletin of Economics and Statistics; Politiche Sanitarie; Psychological Methods; Social Indicators Research; Social Science Research; Statistica Applicata – Italian Journal of Applied Statistics; Statistics in Biopharmaceutical Research; The European Journal of Health Economics
Affiliations:
Italian Statistical Society; Royal Statistical Society.
Notices
Office hours
Monday from 14:00 to 15:00
at Studio docenteTuesday from 12:00 to 14:00
at Studio docente
Teachings
- BUSINESS STATISTICS, AA 2024 (SCP4063713)
- QUANTITATIVE METHODS AND ANALYTICS FOR MARKETING, AA 2024 (EPQ3102369)
- STATISTICS: BUSINESS APPLICATIONS, AA 2024 (EPP3049375)
- HOW TO MEASURE ECONOMICS AND BUSINESS, AA 2023 (SCP4063692)
- STATISTICS: BUSINESS APPLICATIONS, AA 2023 (EPP3049375)
- HOW TO MEASURE ECONOMICS AND BUSINESS, AA 2022 (SCP4063692)
- STATISTICS: BUSINESS APPLICATIONS, AA 2022 (EPP3049375)
- STATISTICAL METHODS FOR MARKETING RESEARCH, AA 2021 (SCP4063385)
- HOW TO MEASURE ECONOMICS AND BUSINESS, AA 2021 (SCP4063692)
- STATISTICS: BUSINESS APPLICATIONS, AA 2021 (EPP3049375)
- HOW TO MEASURE ECONOMICS AND BUSINESS, AA 2020 (SCP4063692)
- STATISTICS: BUSINESS APPLICATIONS, AA 2020 (EPP3049375)
- BUSINESS ECONOMIC AND FINANCIAL DATA, AA 2019 (SCP7079231)
- HOW TO MEASURE ECONOMICS AND BUSINESS, AA 2019 (SCP4063692)
- HOW TO MEASURE ECONOMICS AND BUSINESS, AA 2018 (SCP4063692)
- HOW TO MEASURE ECONOMICS AND BUSINESS, AA 2018 (SCP4063692)
- STATISTICS FOR MANAGEMENT, AA 2018 (EPP7082021)
- HOW TO MEASURE ECONOMICS AND BUSINESS, AA 2016 (SCP4063692)
- STATISTICAL METHODS AND MODELS FOR BUSINESS, AA 2016 (SCP4063306)
- STATISTICAL METHODS FOR MARKETING RESEARCH, AA 2015 (SCP4063385)
- STATISTICAL METHODS AND MODELS FOR BUSINESS, AA 2015 (SCP4063306)
- BUSINESS STATISTICS (ADVANCED), AA 2014 (SSM0012995)
- ECONOMIC STATISTICS , AA 2014 (SSL1000324)
- ECONOMIC STATISTICS , AA 2014 (SSL1000324)
- BUSINESS STATISTICS (ADVANCED), AA 2013 (SSM0012995)
- ECONOMIC STATISTICS , AA 2013 (SSL1000324)
- ECONOMIC STATISTICS , AA 2013 (SSL1000324)
- BUSINESS STATISTICS (ADVANCED), AA 2012 (SSM0012995)
- ECONOMIC STATISTICS , AA 2012 (SSL1000324)
- ECONOMIC STATISTICS , AA 2012 (SSL1000324)
Publications
Main Publications:
- Paccagnella O. and Dal Bianco C. (2018) “A Multilevel Heckman model to investigate financial assets among older people in Europe”, in F. Mola, C. Conversano and M. Vichi (eds), Classification, (Big) Data Analysis and Statistical Learning, Springer International, 227-234
- Boccuzzo G., Fabbris L. and Paccagnella O. (2016) “Job-major match and job satisfaction in Italy”, International Journal of Manpower 37 (1), 135-156.
- Dal Bianco C., Paccagnella O. and R. Varriale (2016) “A multilevel latent class analysis of the purchasing channels among European consumers”, Metron 74, 293-309
- Angelini V., Cavapozzi D., Corazzini L. and O. Paccagnella (2014) “Do Danes and Italians Rate Life Satisfaction in the Same Way? Using Vignettes to Correct for Individual-Specific Scale Biases”, Oxford Bulletin of Economics and Statistics 76 (5), 643-666.
- Paccagnella O., Rebba V. and G. Weber (2013) “Voluntary Private Health Insurance among the Over Fifties in Europe”, Health Economics 22, 289-315
- Angelini V., Cavapozzi D., Corazzini L. and O. Paccagnella (2012) “Age, Health and Life Satisfaction Among Older Europeans”, Social Indicators Research 105 (2), 293-308
- Angelini V., Cavapozzi D. and O. Paccagnella (2012) “Cross-Country Differentials in Work Disability Reporting Among Older Europeans”, Social Indicators Research 105 (2), 211-226
- Angelini V., Cavapozzi D. and O. Paccagnella (2011) “Dynamics of Reporting Work Disability in Europe”, Journal of the Royal Statistical Society – Series A 174 (3), 621-638
- Paccagnella O. (2011) “Anchoring Vignettes with Sample Selection due to Non-response”, Journal of the Royal Statistical Society – Series A 174 (3), 665-687
- Paccagnella O. (2011) “Sample Size and Accuracy of Estimates in Multilevel Models. New Simulation Results”, Methodology – European Journal of Research Methods for the Behavioral and Social Sciences 7 (3), 111-120
- Christelis D., Jappelli T., Paccagnella O. and G. Weber (2009) “Income, Wealth and Financial Fragility in Europe”, Journal of European Social Policy 19 (4), 359-376
- Paccagnella O. (2006) “Centering or not Centering in Multilevel Models? The Role of the Group Mean and the Assessment of Group Effects”, Evaluation Review 30 (1), 66-85
Research Area
The main research interests are:
- Economics of ageing.
- Multilevel modelling: theory and applications.
- The appraoch of the Anchoring Vignettes for investigating spatial and temporal comparisons of self-evaluations.
- Missing data handling.
- Analysis of the Student Evaluations of Teaching.
Thesis proposals
Some proposals for master theses:
- Missing data imputation
- Investigating depression and/or loneliness in later life
- Investigating the effects of the subjective age on psychological/physical outcomes
- Advanced analysis of data on Student Teaching Evaluations
