Angelo Moretti

ORCID: 0000-0001-6543-9418
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About
Contact & Profiles
Research Areas
  • Crime Patterns and Interventions
  • demographic modeling and climate adaptation
  • Spatial and Panel Data Analysis
  • Urban, Neighborhood, and Segregation Studies
  • Antenna Design and Analysis
  • Urban Transport and Accessibility
  • Cybercrime and Law Enforcement Studies
  • Data-Driven Disease Surveillance
  • RFID technology advancements
  • Energy Harvesting in Wireless Networks
  • Migration and Labor Dynamics
  • Insurance, Mortality, Demography, Risk Management
  • Health disparities and outcomes
  • Statistical Methods and Bayesian Inference
  • Migration, Ethnicity, and Economy
  • Migration, Aging, and Tourism Studies
  • Social Policy and Reform Studies
  • Advanced Antenna and Metasurface Technologies
  • Agricultural Economics and Policy
  • Energy Efficient Wireless Sensor Networks
  • Labor Movements and Unions
  • Psychological Well-being and Life Satisfaction
  • Bayesian Modeling and Causal Inference
  • Human Mobility and Location-Based Analysis
  • solar cell performance optimization

Utrecht University
2020-2024

University of St Andrews
2023

University of Bristol
2023

University of Manchester
2018-2023

King's College London
2023

University of Essex
2023

Manchester Metropolitan University
2020-2021

Institute for Social Research
2021

University of Sheffield
2018-2019

Universidade Estadual de Campinas (UNICAMP)
2011-2015

Abstract Objectives Police-recorded crimes are used by police forces to document community differences in crime and design spatially targeted strategies. Nevertheless, known affected selection biases driven underreporting. This paper presents a simulation study analyze if statistics aggregated at small spatial scales larger bias than maps produced for geographies. Methods Based on parameters obtained from the UK Census, we simulate synthetic population consistent with characteristics of...

10.1007/s11292-021-09457-y article EN cc-by Journal of Experimental Criminology 2021-03-26

Abstract We evaluate data integration methods to estimate small area composite indicators, when some of the single indicators cannot be computed due completely missing variables needed for their computation. The parameter is a multidimensional poverty index, where required are not available in population Census, which used as main source compute indicator. propose two approaches generate these variables, considering an auxiliary sample survey. Specifically, performance approach based on...

10.1093/jrsssc/qlaf032 article EN cc-by Journal of the Royal Statistical Society Series C (Applied Statistics) 2025-05-12

ABSTRACT Drawing on data from the Eurobarometer Survey, this study explores distribution of stigma and discrimination towards LGBTI communities at sub‐national level. There has been increased attention global pan‐European levels around rights mostly drawing national‐level measurements. However, there is limited research or understanding complex pervasive problem groups regional levels. Yet, it widely noted that disparities exist across demographic characteristics; thus, may not be suitable...

10.1111/gean.70008 article EN cc-by Geographical Analysis 2025-05-12

Worry about crime is known to be higher in some European regions than others. However, cross-national surveys, which are the main source of information map worry across Europe, designed representative large areas (countries), and often suffer from small unrepresentative sample sizes. This research produces reliable model-based area estimates at regional level Social Survey data, order phenomenon examine its macro-level predictors. Model-based estimation techniques borrow strength produce...

10.1177/1477370819845752 article EN European Journal of Criminology 2019-05-09

Abstract There is growing interest within National Statistical Institutes in combining available datasets containing information on a large variety of social domains. matching approaches can be used to integrate data sources through common set variables where each dataset contains different units that belong the same target population. However, problem related assumption conditional independence among observed sources. In this context, an auxiliary all jointly improve statistical by...

10.1093/jssam/smac038 article EN cc-by-nc Journal of Survey Statistics and Methodology 2023-02-13

Small area estimation (SAE) plays a crucial role in the social sciences due to growing need for reliable and accurate estimates small domains. In study of well-being, example, policy makers detailed information about geographical distribution range indicators. We investigate data dimensionality reduction using factor analysis models implement SAE on scores under empirical best linear unbiased prediction approach. contrast this approach with standard providing dashboard indicators or weighted...

10.1177/0049124119826160 article EN cc-by Sociological Methods & Research 2019-02-13

Although homopositivity, the attitudinal acceptance of homosexuality, has generally increased across Western societies, there remains considerable homonegativity certain regions world as well demographic and socioeconomic groups. previous cross-national research successfully identified key factors affecting homopositive attitudes, literature neglects both potentially mediation pathways moderating interactions between those that may unlock more nuanced understanding these variations in...

10.1007/s10508-023-02531-8 article EN cc-by Archives of Sexual Behavior 2023-01-20

Summary Factor analysis models are used in data dimensionality reduction problems where the variability among observed variables can be described through a smaller number of unobserved latent variables. This approach is often to estimate multidimensionality well‐being. We employ factor and use multivariate empirical best linear unbiased predictor (EBLUP) under unit‐level small area estimation predict vector means scores representing well‐being for areas. compare this with standard whereby we...

10.1111/insr.12333 article EN International Statistical Review 2019-08-15

Abstract In recent years, the attention to lesbian, gay, bisexual, transgender and intersex (LGBTI) people’ rights from institutions, society scientific bodies has clearly progressed. Although equal opportunities in employment are promoted within European countries by EU legislation, there still evident discriminations Europe. Many LGBTI people face bullying anti-LGBTI discrimination workplace job market. Considerably more progress must be made before every person feels accepted comfortable...

10.1007/s11205-023-03076-y article EN cc-by Social Indicators Research 2023-02-06

Abstract We propose a novel dual‐band radio frequency identification (RFID) microstrip antenna that has similar performance in dual bands can be independently tuned. The return loss of the is less than −10 dB between 890 and 965 MHz 2.33 2.51 GHz. simplicity this band layout makes it particularly suitable for low‐cost RFID production. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:2214–2217, 2012; View article online at wileyonlinelibrary.com. DOI 10.1002/mop.27025

10.1002/mop.27025 article EN Microwave and Optical Technology Letters 2012-06-18

This article deals with mean squared error (MSE) estimation of a multivariate empirical best linear unbiased predictor (MEBLUP) under the unit-level nested-errors regression model for small area via parametric bootstrap. A simulation study is designed to evaluate performance our algorithm and compare it univariate case bootstrap MSE which has been shown be consistent true MSE. The shows that, in line literature, MEBLUP provides estimates lower than EBLUP. We also provide short analysis based...

10.1080/03610918.2018.1498889 article EN Communications in Statistics - Simulation and Computation 2018-12-09

A range of data is geographic interest but not available at a small area level from existing sources. Small estimation (SAE) offers techniques to estimate population parameters target variables detailed scales based on relationships between those and relevant auxiliary variables. The resulting indirect can deliver lower mean squared error compared its direct survey estimate, given that variance be reduced markedly even if bias increases. Spatial microsimulation SAE approaches are widely...

10.1111/gean.12219 article EN Geographical Analysis 2019-07-25

This paper sheds light on the impact of public attitudes towards climate change and energy disruption pricing emission (carbon-intensive) clean (low-emission) stocks. We develop a regional indicator worries about using data from European Social Survey Round 8. classify regions as little worried, worried very worried. confirm previous evidence that stocks tend to have higher returns than However, when we focus quoted in exchange markets located with low level disruption, do not find carbon...

10.2139/ssrn.3942738 article EN SSRN Electronic Journal 2021-01-01

The aim of this study was to perform an experimental evaluate the proper operation distance between nodes a wireless sensor network available on market for different agricultural crops (maize, physic nut, eucalyptus). data performance offers farmers and researchers information that might be useful sizing project networks in similar situations those studied. evaluation showed separation depends type culture it is critical factor ensure feasibility using WSN. In configuration used, sending...

10.1590/s0100-69162012000600018 article EN cc-by Engenharia Agrícola 2012-12-01
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