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Luca Bonacini

Biographic Data

ID5739307
NAMELuca Bonacini
GIVEN NAMESLuca
FAMILY NAMEBonacini
SIGNATUREBONACINI L
AFFILIATIONSUniversity of Modena and Reggio Emilia
ORCID0000-0002-6239-7539
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS53
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX2
  • Inequality of Opportunity and Variance Decomposition: A Methodological Insight

    Open Access•Luca Bonacini, Michele Costa et al.•ARTICLE•Social Indicators Research•2026•References: 2

    This paper introduces a new variance-based measure of inequality of opportunity (EOp) grounded in a decomposition of the Coefficient of Variation (CV). Our approach disentangles overall inequality into a between-group component driven by circumstances beyond individual control (e.g., gender, family background, or region of birth) and a within-group component which captures effort and idiosyncratic heterogeneity. Within this framework, we characte…

  • Background wage premia, beyond education: Firm sorting and unobserved abilities of graduates

    Open Access•Luca Bonacini, Fabrizio Patriarca et al.•ARTICLE•Economics of Education Review•2025

  • Nudging women towards pursuing their university careers

    Open Access•Juliana Bernhofer, Luca Bonacini et al.•ARTICLE•Economica•2025•References: 27

    This study explores the impact of light‐touch interventions on the academic outcomes of female scholarship recipients. In a randomized trial involving nearly 2000 students at the University of Bologna, we delivered a targeted message highlighting how higher education can reduce the gender gap in the labour market, and boost employment prospects. The nudge increased the likelihood of meeting scholarship requirements by nearly 5 percentage points, …

  • Does Working from Home Increase the Gender Wage Gap? Insights from an Italian Survey of Occupations

    Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Feminist Economics•2024•References: 24

    This article investigates to what extent the working from home (WFH) feasibility of occupations can influence the gender wag gap (GWG) at the mean and along the wage distribution. Based on Oaxaca-Blinder decompositions and unconditional quantile regressions, results show that the GWG is greater among women working in an occupation with a high level of WFH feasibility. We find evidence of both sticky floor and glass ceiling effects for employees w…

  • Kuznets Prize Awarded to Luca Bonacini, Giovanni Gallo, and Sergio Scicchitano

    Open Access•Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Journal of Population Economics•2022•References: 1

  • Explaining The Anti‐Immigrant Sentiment Through a Spatial Analysis: A Study of The 2019 European Elections in Italy

    Open Access•Francesco Pagliacci, Luca Bonacini•ARTICLE•Tijdschrift voor Economische en…•2022•Cited by: 1•References: 51

    Does the settling of foreigners cause a rise in anti‐immigrant sentiment due to resource competition? Or do direct interactions lead to more respectful relations? And what if one also considers the settlement of foreigners in neighbouring municipalities? Applying an instrumental variable approach to variables collected at the Italian municipality level and including neighbouring areas, this paper aims to answer these questions by considering the …

  • Identifying policy challenges of Covid-19 in hardly reliable data and judging the success of lockdown measures

    Open Access•Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Journal of Population Economics•2020•Cited by: 5•References: 6

  • Working from home and income inequality: Risks of a ‘new normal’ with Covid-19

    Open Access•Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Journal of Population Economics•2020•Cited by: 47•References: 7

  • Working from home and income inequality: Risks of a ‘new normal’ with Covid-19

    Open Access•Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Journal of Population Economics•2020•Cited by: 47•References: 7

  • Identifying policy challenges of Covid-19 in hardly reliable data and judging the success of lockdown measures

    Open Access•Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Journal of Population Economics•2020•Cited by: 5•References: 6

  • Explaining The Anti‐Immigrant Sentiment Through a Spatial Analysis: A Study of The 2019 European Elections in Italy

    Open Access•Francesco Pagliacci, Luca Bonacini•ARTICLE•Tijdschrift voor Economische en…•2022•Cited by: 1•References: 51

    Does the settling of foreigners cause a rise in anti‐immigrant sentiment due to resource competition? Or do direct interactions lead to more respectful relations? And what if one also considers the settlement of foreigners in neighbouring municipalities? Applying an instrumental variable approach to variables collected at the Italian municipality level and including neighbouring areas, this paper aims to answer these questions by considering the …

  • Identifying policy challenges of Covid-19 in hardly reliable data and judging the success of lockdown measures

    Open Access•Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Journal of Population Economics•2020•Cited by: 5•References: 6

  • Working from home and income inequality: Risks of a ‘new normal’ with Covid-19

    Open Access•Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Journal of Population Economics•2020•Cited by: 47•References: 7

  • Kuznets Prize Awarded to Luca Bonacini, Giovanni Gallo, and Sergio Scicchitano

    Open Access•Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Journal of Population Economics•2022•References: 1

  • Explaining The Anti‐Immigrant Sentiment Through a Spatial Analysis: A Study of The 2019 European Elections in Italy

    Open Access•Francesco Pagliacci, Luca Bonacini•ARTICLE•Tijdschrift voor Economische en…•2022•Cited by: 1•References: 51

    Does the settling of foreigners cause a rise in anti‐immigrant sentiment due to resource competition? Or do direct interactions lead to more respectful relations? And what if one also considers the settlement of foreigners in neighbouring municipalities? Applying an instrumental variable approach to variables collected at the Italian municipality level and including neighbouring areas, this paper aims to answer these questions by considering the …

  • Does Working from Home Increase the Gender Wage Gap? Insights from an Italian Survey of Occupations

    Luca Bonacini, Giovanni Gallo et al.•ARTICLE•Feminist Economics•2024•References: 24

    This article investigates to what extent the working from home (WFH) feasibility of occupations can influence the gender wag gap (GWG) at the mean and along the wage distribution. Based on Oaxaca-Blinder decompositions and unconditional quantile regressions, results show that the GWG is greater among women working in an occupation with a high level of WFH feasibility. We find evidence of both sticky floor and glass ceiling effects for employees w…

  • Background wage premia, beyond education: Firm sorting and unobserved abilities of graduates

    Open Access•Luca Bonacini, Fabrizio Patriarca et al.•ARTICLE•Economics of Education Review•2025

  • Nudging women towards pursuing their university careers

    Open Access•Juliana Bernhofer, Luca Bonacini et al.•ARTICLE•Economica•2025•References: 27

    This study explores the impact of light‐touch interventions on the academic outcomes of female scholarship recipients. In a randomized trial involving nearly 2000 students at the University of Bologna, we delivered a targeted message highlighting how higher education can reduce the gender gap in the labour market, and boost employment prospects. The nudge increased the likelihood of meeting scholarship requirements by nearly 5 percentage points, …

  • Inequality of Opportunity and Variance Decomposition: A Methodological Insight

    Open Access•Luca Bonacini, Michele Costa et al.•ARTICLE•Social Indicators Research•2026•References: 2

    This paper introduces a new variance-based measure of inequality of opportunity (EOp) grounded in a decomposition of the Coefficient of Variation (CV). Our approach disentangles overall inequality into a between-group component driven by circumstances beyond individual control (e.g., gender, family background, or region of birth) and a within-group component which captures effort and idiosyncratic heterogeneity. Within this framework, we characte…

Economics (6 works) · Coronavirus disease 2019 (COVID-19 (3 works) · COVID-19 epidemiological studies (3 works) · COVID-19 Pandemic Impacts (3 works) · Demographic economics (3 works) · Econometrics (3 works) · Inequality (3 works) · Labor market dynamics and wage inequality (3 works) · Labour economics (3 works) · Medicine (3 works)

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