Publicaties
2026
Wetenschappelijke publicaties
Markwitz, R., Moretti, A., & Salvatore, C. (2026). A Spatial Fay-Herriot Model when the Auxiliary Variables are based on Non-traditional Data. arXiv. [DOI] [Repository]
Moretti, A., Salvatore, C., & Kraemer, F. (2026). A Data Quality Framework for Integrated Data via Statistical Matching. International Journal of Population Data Science, 11(5 Conference Abstract), Article 3694. [DOI] [Repository]
Moretti, A., & Arias-Salazar, A. (2026). Computing Multidimensional Composite Indicators for Small Areas in Presence of Missing Variables: a Data Integration Approach. Journal of the Royal Statistical Society. Series C: Applied Statistics, 75(1), 21-42. [DOI] [Repository]
2025
Wetenschappelijke publicaties
Moretti, A., & Santi, C. (2025). Worries about Energy Security and Stock Returns. Journal of Economic Behavior and Organization, 238, Article 107210. [DOI] [Repository]
Hammond, N., & Moretti, A. (2025). Using Novel Methods to Develop Data for Evidence-Based Practice: Understanding LGBTI Stigma and Discrimination at the Sub National Level in Europe Using the Eurobarometer. Geographical Analysis, 57(4), 578-591. [DOI] [Repository]
Moretti, A., Arias-Salazar, A., & Rojas-Perilla, N. (2025). Computing Multidimensional Composite Indicators for Small Areas in Presence of Missing Variables: a Data Integration Approach. In A. Pollice, & P. Mariani (Eds.), Methodological and Applied Statistics and Demography (pp. 300-305). (Italian Statistical Society Series on Advances in Statistics). Springer. [DOI] [Repository]
2024
Wetenschappelijke publicaties
Moretti, A., Santi, C., & Mernier, L. (2024). SMEs' Environmental Attributes and Performance: A Data Integration Approach. (SSRN). SSRN. [DOI]
Moretti, A. (2024). Book Review and Software Review: Sampling and Estimation from Finite Populations. The Survey Statistician, 90, 38-39. http://isi-iass.org/home/wp-content/uploads/Survey_Statistician_2024_July_N90.pdf [Repository]
Moretti, A., & Ahmed, A. (2024). Regional Multidimensional Attitudes Towards Immigration: Evidence from the European Social Survey using Small Area Estimation. Social Indicators Research, 174(1), 91-121. [DOI] [Repository]
Salvatore, C., & Moretti, A. (2024). The Use of New Data Sources in Small Area Estimation of Attitudes towards Climate Change. The Survey Statistician, 90, 30-37. [Repository]
Brunton-Smith, I., Buil-Gil, D., Pina-Sánchez, J., Cernat, A., & Moretti, A. (2024). Using synthetic crime data to understand patterns of police under-counting at the local level. In L. Huey, & D. Buil-Gil (Eds.), The Crime Data Handbook Policy Press.
Hammond, N., & Moretti, A. (2024). Data like any other? Sexual and Reproductive Health Big Data and the Sustainable Development Goals. Sexualities, 27(7), 1277-1300. [DOI] [Repository]
2023
Wetenschappelijke publicaties
Moretti, A. (2023). Regional Public Opinions on LGBTI People Equal Opportunities in Employment: Evidence from the Eurobarometer Programme using Small Area Estimation. Social Indicators Research, 166(2), 413-438. [DOI] [Repository]
Moretti, A. (2023). Multivariate Small Area Estimation of Social Indicators: the Case of Continuous and Binary Variables. Sociological Methodology, 53(2), 323-343. [DOI] [Repository]
Whitworth, A., & Moretti, A. (2023). Homopositivity across Europe: Predictors, Pathways, and Moderators. Archives of Sexual Behavior, 52(3), 945-955. [DOI] [Repository]
Shlomo, N., Nazroo, J., Finney, N., Bécares, L., Kapadia, D., Aparicio-Castro, A., Ellingworth, D., Moretti, A., & Taylor, H. (2023). The Making of the EVENS Survey. In N. Finney, J. Nazroo, L. Bécares, D. Kapadia, & N. Shlomo (Eds.), Racism and Ethnic Inequality in a Time of Crises: Findings from the Evidence for Equality National Survey (pp. 11-29). Policy Press. [DOI] [Repository]
Moretti, A., & Shlomo, N. (2023). Improving Statistical Matching when Auxiliary Information is Available. Journal of Survey Statistics and Methodology, 11(3), 619–642. [DOI] [Repository]
Moretti, A., & Shlomo, N. (2023). Improving Probabilistic Record Linkage Using Statistical Prediction Models. International Statistical Review, 91(3), 368-394. [DOI] [Repository]
Moretti, A. (2023). Estimation of Small Area Proportions Under a Bivariate Logistic Mixed Model. Quality and Quantity, 57(4), 3663–3684. [DOI] [Repository]
Santi, C., & Moretti, A. (2023). Carbon Risk Premium and Worries about Climate Change. SSRN. [DOI] [Repository]
2022
Wetenschappelijke publicaties
Buil-Gil, D., Moretti, A., & Langton, S. H. (2022). The accuracy of crime statistics: Assessing the impact of police data bias on geographic crime analysis. Journal of Experimental Criminology, 18(3), 515-541. [DOI] [Repository]
2021
Wetenschappelijke publicaties
Buil-Gil, D., Brunton-Smith, I., Pina-Sánchez, J., Cernat, A., & Moretti, A. (2021). Code and data to generate a synthetic dataset of crimes in England and Wales. Software, Zenodo.
Moretti, A., & Shlomo, N. (2021). Informing best practice on record linkage and data integration. Statistical matching and probabilistic record linkage: Deliverable 8.8, Leuven, H2020 InGRID-2 project. European Union.
Zeng, Y., Moretti, A., & Buil-Gil, D. (2021). Dark figure of crime: do police-recorded crime statistics serve all areas of Greater Manchester equally?. Web publication/site, Policy@Manchester Blogs. https://blog.policy.manchester.ac.uk/posts/2021/09/dark-figure-of-crime-do-police-recorded-crime-statistics-serve-all-areas-of-greater-manchester-equally/
Moretti, A., & Buil-Gil, D. (2021). Mapping the bias of police records: Project final report: Manchester Statistical Society Campion Grants - Final Report .
Moretti, A., & Whitworth, A. (2021). Estimating the Uncertainty of a Small Area Estimator Based on a Microsimulation Approach. Sociological Methods and Research. [DOI]
Buil-Gil, D., Moretti, A., Shlomo, N., & Medina, J. (2021). Worry about crime in Europe: A model-based small area estimation from the European Social Survey. European Journal of Criminology. [DOI]
Moretti, A., Shlomo, N., & Sakshaug, J. W. (2021). Small Area Estimation of Latent Economic Well-being. Sociological Methods and Research, 50(4), 1660-1693. [DOI]
2020
Wetenschappelijke publicaties
Moretti, A., & Santi, C. (2020). Comment to Critical Limitations of Digital Epidemiology: Why COVID-19 Apps Are Useless. Survey Research Methods.
Moretti, A. (2020). Simulation Studies. In SAGE Research Methods Foundations
Moretti, A., & Santi, C. (2020). The Need for Reliable and Timely Data to Contrast COVID-19: What Went Wrong? [DOI]
Buil-Gil, D., Solymosi, R., & Moretti, A. (2020). Nonparametric bootstrap and small area estimation to mitigate bias in crowdsourced data: Simulation study and application to perceived safety. In Big data meets survey science [DOI]
Buil-Gil, D., Moretti, A., Shlomo, N., & Medina, J. (2020). Applying the Spatial EBLUP to Place-Based Policing. Simulation Study and Application to Confidence in Police Work. Applied Spatial Analysis and Policy. [DOI]
Moretti, A., Shlomo, N., & Sakshaug, J. W. (2020). Parametric bootstrap mean squared error of a small area multivariate EBLUP. Communications in Statistics - Simulation and Computation, 49(6), 1474-1486. [DOI]
Moretti, A., & Whitworth, A. (2020). Evaluations of small area composite estimators based on the iterative proportional fitting algorithm. Communications in Statistics: Simulation and Computation, 49(12), 3093-3110. [DOI]
Moretti, A., & Whitworth, A. (2020). European Regional Welfare Attitudes: a Sub-National Multi-Dimensional Analysis. Applied Spatial Analysis and Policy, 13(2), 393-410. [DOI]
Moretti, A., Shlomo, N., & Sakshaug, J. W. (2020). Multivariate Small Area Estimation of Multidimensional Latent Economic Well-being Indicators. International Statistical Review, 88(1), 1-28. [DOI]
Moretti, A., & Whitworth, A. (2020). Development and Evaluation of an Optimal Composite Estimator in Spatial Microsimulation Small Area Estimation. Geographical Analysis, 52(3), 351-370. [DOI]
2018
Wetenschappelijke publicaties
Moretti, A. (2018). Multivariate Small Area Estimation for Multidimensional Well-Being Indicators. [Doctoral thesis 3 (Research UU / Graduation NOT UU), University of Manchester].