We investigate the influence of institutional factors upon life insurance demand for 32 European countries, considering the socio-demographic and economic determinants as control variables. Using a panel data approach, we find that life insurance demand is influenced differently by institutional indicators from the Worldwide Governance Indicators database, in emerging and transition markets compared to developed ones. The sound legal environment of developed countries, where the level of the rule of law is very homogeneous and very high, makes it non-significant for life insurance demand. For developing countries the enforceability of contracts, the independence of justice and the time efficiency of the judicial process positively influence the decision of citizens to buy life insurance contracts. The effect of income distribution over life insurance density varies across these two categories of countries. For transition and emerging markets we find a positive relationship between life insurance density, income distribution and level of urbanisation. In developed countries, because of the high levels of income, life insurance became a common good, not a luxury one, which makes income distribution an insignificant factor. For emerging and transition countries policymakers should concentrate more on strengthening trust in the insurance sector for reducing the gap with developed countries.

Specialty literature and solutions in the market have been focusing in the last decade on collecting and aggregating significant amounts of data about transactions (and user behavior) and on refining the algorithms used to identify fraud. At the same time, legislation in the European Union has been adopted in the same direction (e.g., PSD2) in order to impose obligations on stakeholders to identify fraud. However, on the one hand, the legislation provides a high-level description of this legal obligation, and on the other hand, the solutions in the market are diversifying in terms of data collected and, especially, attempts to aggregate data in order to generate more accurate results. This leads to an issue that has not been analyzed yet deeply in specialty literature or by legislators, respectively, the privacy concerns in case of profile building and aggregation of data for fraud identification purposes and responsibility of stakeholders in the identification of frauds in the context of their obligations under data protection legislation. This article comes as a building block in this direction of research, as it contains (i) an analysis of existing fraud detection methods and approaches, together with their impact from a data protection legislation perspective and (ii) an analysis of respondents’ views toward privacy in case of fraud identification in transactions based on a questionnaire in this respect having 425 respondents. Consequently, this article assists in bridging the gap between data protection legislation and implementation of fraud detection obligations under the law, as it provides recommendations for compliance with the latter legal obligation while also complying with data protection aspects.

The COVID-19 pandemic has brought many changes into people’s lives. Fear, job insecurity, changes in their financial stability, concerns about their future lives have changed the entire lives of people and have affected the cognitive well-being of individuals. The purpose of the present analysis is to measure how the COVID-19 pandemic, along with financial factors, has affected the perceived level of well-being of individuals. We are also interested whether there are differences between life before COVID-19, life now with COVID-19, and life after the COVID-19 pandemic, in terms of future expectations. To address this objective, we performed an ANOVA approach and a GLM estimate on repeated measures for a large sample (1572 respondents) from 43 worldwide countries, during the period May 2020 and July 2021. Our results show that financial factors reflected by both the size of income and changes in personal or family income affect the levels of happiness. Robustness checks using stress as an alternative estimator for happiness have consolidated our results. Additionally, we find that well-being during COVID-19 compared to the previous period decreased, while in future, people expect to be happier, but not more than in the past when they did not know about the existence of this virus. This is one of the first studies to investigate the relationship between happiness and income before, during, and after COVID-19. These findings are important for policymakers to improve the conditions of living in the areas of health and financial stability.

In most Eastern European countries, the life insurance market is poorly developed with respect to the income level of their citizens. Most of the academic literature investigating the determinants of this market focuses on cross-country- or individual-level studies. Our research assesses the specificities of the life insurance market at a subnational level, more specifically at the county level. The behavioral mechanisms are highlighted through cross-section linear regressions with spatial interactions on a database of 42 counties in Romania in 2015. One important result is the positive effect of insurance literacy, estimated in a national survey, on the demand for life insurance. Another significant result is the spatial diffusion process identified in life insurance density between neighboring counties. Among the control variables, we identified a significant positive impact of income and urbanization on the demand for life insurance and a negative impact of the unemployment rate.