Dr Angelo Moretti

Who am I?

I am a statistician and I am an elected member of the International Statistical Institute. I am also fellow of the Royal Statistical Society (member of both the Manchester and Official Statistics section committees), International Association of Survey Statisticians, and Italian Statistical Society.

I joined the Faculty of Science and Engineering, Department of Computing and Mathematics in December 2019 as a lecturer. I am also affiliated to the Centre for Advanced Computational Science and Crime and Wellbeing Data Centre. 

I was previously research associate in social statistics at the University of Manchester and small area estimation methods at the University of Sheffield.

My research interests are in topics related to survey statistics, survey methodology and statistical modelling. In particular, my main expertise is in small area estimation under mixed-effect models.

I am also very much interested in applications related to social indicators, such as crime, wellbeing and poverty indicators.

If you would like to work together on these topics, drop me an email and I will be very much looking forward to meeting you! 

Academic and professional qualifications

• PhD in Social Statistics - Thesis in Multivariate Small Area Estimation for Multidimensional Well-being Indicators - The University of Manchester (UK). This was funded by ESRC
• MSc in Marketing and Market Research (Survey Methods Pathway) - University of Pisa (Italy)
• BSc in Economics (Quantitative Methods for Economics and Business) - University of Pisa (Italy)

• Teaching qualification: Postgraduate Certificate in Teaching and Learning in the higher Education - Manchester Metropolitan University. 

Previous employment

• September 2017 - December 2018: Research Associate in Small Area Estimation at the University of Sheffield. ESRC-NCRM project on Innovations in Small Area Estimation Methods
• January 2019 - December 2019: Research Associate in Social Statistics at the University of Manchester. InGRID2 project.

Languages

I speak English and Italian and I sign in British Sign Language (level 2)

Why study Statistics ?

Because you can find Statistics everyday and everywhere.

Undergraduate courses

• Decision Mathematics
• Operational Research and Stochastic Methods

Postgraduate teaching

• Computational Statistics, Visualisation and Forecasting

Postgraduate supervision (completed/in progress)

I am happy to receive PhD applications from postgraduate research students interested in the following Statistics areas:  

• small area estimation,
• statistical modelling,
• survey design and estimation,
• topics on correction in non-random sampling for statistical inference,
• data integration,
• missing data imputation,
• variance and mean squared error estimation,
• applied statistics.

Research expertise

My research covers topics in survey statistics and survey methodology and in particular small area estimation methods.

I am mainly interested in the following research areas:

• small area estimation under different approaches,
• model-based inference,
• survey weighting and survey calibration,
• variance and mean squared error estimation,
• data integration,
• estimation and weight adjustement of non-probability samples,
• data dimensionality reduction in small area estimation,
• resampling methods such as the bootstrap,
• social composite indicators.

Academic collaborations

• Centre on the Dynamics of Ethnicity (CoDE), Evidence for Equality National Survey (EVENS): Data integration techniques and survey weighting [2021 - ogoing]
• Dr Caterina Santi, Management School - Liegé Université:  Impact of public attitudes towards climate change and energy disruption on the pricing of emission and clean stocks [2020 - ogoing]

Publications

• Journal articles

  D. Buil-Gil, A. Moretti, N. Shlomo, J. Medina (2020). Applying the Spatial EBLUP to place-based policing. Simulation study and application to confidence in police work. Applied Spatial Analysis and Policy. 13(4), pp.901-924.

• Chapters in books

  D. Buil‐Gil, R. Solymosi, A. Moretti (2020). Nonparametric Bootstrap and Small Area Estimation to Mitigate Bias in Crowdsourced Data. In: Big Data Meets Survey Science: A Collection of Innovative Methods. Wiley, pp.487-517.

• Reports

  A. Moretti, C. Santi (2021). Carbon Risk Premium and Worries about Climate Change and Energy Disruption. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3942738: ELSEVIER

  A. Moretti, N. Shlomo (2021). Informing best practice on record linkage and data integration. Statistical matching and probabilistic record linkage. , e European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 730998.

  A. Moretti, D. Buil-Gil Mapping the bias of police records: Project final report. Manchester Statistical Society, Manchester Statistical Society.

  A. Moretti, C. Santi The Need for Complex Survey Designs to Contrast COVID-19.

Invited papers

• Multivariate Small Area Estimation of Latent Wellbeing - International Conference on Small Area Estimation – September 2021.
• Informing Best Practice on Record Linkage and Data Integration: Statistical Matching and Probabilistic Record Linkage - InGRID-2 Final Conference - September 2021.
• Improving Probabilistic Record Linkage Using Statistical Prediction Models - Conference on New Techniques and Technologies for Statistics (NTTS 2021), Eurostat.
• Multivariate Small Area estimation Methods for Composite Indicators: Educational Poverty: Definitions, Measures and Mapping. Lunch-to-Lunch Workshop – University of Pisa, 2019.
• Multivariate Small Area Estimation of Multidimensional Well-being Indicators: An Overview of Recent Methodological Advances. 10 Years of Social Statistics, University of Manchester, 2019.
• Small Area Estimation of Latent Economic Wellbeing - International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018)  – Pisa.
• Multivariate Small Area Estimation of Multidimensional Latent Economic Wellbeing: a Focus on Housing Deprivation - Small Area Methods and living conditions indicators in European poverty studies in the era of data deluge and Big data – University of Pisa, 2018..
• Small Area Composite Estimators under Microsimulation Approaches - Mid-term meeting of the grant “Innovations in Small Area Estimation Methodologies NCRM project” – University of Southampton – .
• Small Area Estimation in R - R group University of Manchester (RUM) , 2018.
• Small area estimation of worry about crime at regional level in Europe: Some Findings from the European Social Survey 5  - Final conference of the Margin project (project funded by European Commission Horizon 2020 Programme) – Budapest, 2017.

Invited roundtable discussions

• Roundtable: How the utilisation of existing data sources can be improved to better inform policy? Centre d'études de l'emploi et du travail. June 2021.

Conference organisation

• Contributed Session on “Small area estimation in the era of big data, crowdsourced data and non-probability web surveys. Topics in poverty, social exclusion and crime” at 8th ESRA Conference, Zagreb.
• PopFest, Annual Population Studies conference, Manchester 2015 - Local committee.

Expert reviewer for journals and publishers

• Journal Referee: Journal of Official Statistics, PLOS One, Journal of Survey Statistics and Methodology, International Journal of Social Research Methodology, European Journal of Criminology, Journal of Urban Technology, International Journal of Environmental Research and Public Health, Econometrics.
• External Reviewer: submissions to the 4th International Conference on Administrative Data Research - Cardiff, December 2019.

Grants

• Energy Preferences and Stock Returns [2021-2022] with Dr Caterina Santi from the University of Liège. Funded by CfACS Seed Corn Award. Role: Principal Investigator.
• Mapping The Bias Of Police Records: An Assessment Of The Impact Of Police Data Bias For Crime Mapping [2020-2021] with Dr David Buil-Gil from the University of Manchester. Funded by Manchester Statistical Society. Role: Principal Investigator.
• Big data and sexual and reproductive health in Zimbabwe: opportunities for addressing wellbeing and the sustainable development goals [2020-2021] with Dr Natalie Hammond from Manchester Metropolitan University. Funded by QR Global Challenges Research Fund 2020/21, Role: Co-Investigator.
• Awareness towards Climate Change and Financial Markets in European Regions. [2020-2021] with Dr Caterina Santi (previously at University College of Cork).  Funded by Charlemont Grant (Royal Irish Academy). Role: Co- Investigator.

Prizes and awards

• University of Manchester President’s Doctoral Scholar award for PhD (2014-2017)
• Economic and Social Research Council North West Doctoral Training Centre PhD Grant (2014-2017)
• Advanced Quantitative Methods Grant (2014-2017)

Visiting and honorary positions

• Honorary Research Fellow: Cathie Marsh Institute for Social Research of the University of Manchester
• Participant of The Camilo Dagum /Tuscan Universities Research Centre – Camilo Dagum on Advanced Statistics for the Equitable and Sustainable Development (Pisa, Italy)

Editorial board membership

• International Journal of Social Research Methodology (Reviewer College)

Membership of professional associations

• Elected Member of the International Statistical Institute (ISI)
• Commitee Member of the The Royal Statistical Society (RSS) Manchester Group
• Commitee Member of the The Royal Statistical Society (RSS) Official Statistics Section
• Fellow of The Royal Statistical Society (RSS)
• Member of the International Association of Survey Statisticians (IASS)
• Fellow of the European Survey Research Association (ESRA)
• Member of the Italian Statistical Society (SIS)
• Member of the European Research Consortium for Informatics and Mathematics - Working Group on Computational and Methodological Statistics (ERCIM WG CMStatistics): Small Area Estimation group
• Member of the Young SIS (group of the Italian Statistical Society of Early Career Researchers).
• Member of the Manchester Statistical Society
• Fellow of the Higher Education Academy (HEA)