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Purpose: The connection between insurance and the degree of economic development of countries has been long studied in the literature, being argued that they are potentiating each other. Against this background, the objective of this chapter is to appraise the way in which the insurance activity, overall, and, distinctively, considering only the life insurance field, is interconnected with the economic development of the European Union (EU) Member States.

Method: In order to assess the insurance development, we considered the insurance density and penetration degree indicators (total and life insurance), and, for the wellbeing dimension, we applied the Human Development Index (HDI), associated with other economic indicators. The research methodology consists of an advanced econometric procedure, namely macroeconometric models – robust regression, for the period 2007–2019.

Findings: The results obtained highlight significant positive associations between insurance development and wellbeing at the level of EU countries.

Originality and Significance of Findings: This research considers an integrative indicator that measures the wellbeing dimension, including the human factor (HDI), in addition to the economic development degree, that has not been addressed so far in the literature, which reveals the originality of this study. Thereby, adjusted policies and strategies developed to sustain the main components of HDI (education, life expectancy and living standards) became paramount keystones in order to promote insurance development.

I build an equilibrium model trying to reconcile investor preferences with several features of the cat bond market. The driving force behind the model is a habit process, in that catastrophes are rare economic shocks that could bring investors closer to their subsistence level. The calibration requires shocks with an impact between −1% and −3% to explain a reasonable level of cat bond spreads. Such investor preferences are not only able to generate realistic cat bond returns and price comovement among different perils, but may also able to explain why cat bonds offer higher rewards compared to equally rated corporate bonds.

Behavioral economics poses a challenge for the welfare evaluation of choices, particularly those that involve risk. It demands that we recognize that the descriptive account of behavior toward those choices might not be the ones we were all taught, and still teach, and that subjective risk perceptions might not accord with expert assessments of probabilities. In addition to these challenges, we are faced with the need to jettison naive notions of revealed preferences, according to which every choice by a subject expresses her objective function, as behavioral evidence forces us to confront pervasive inconsistencies and noise in a typical individual’s choice data. A principled account of errant choice must be built into models used for identification and estimation. These challenges demand close attention to the methodological claims often used to justify policy interventions. They also require, we argue, closer attention by economists to relevant contributions from cognitive science. We propose that a quantitative application of the “intentional stance” of Dennett provides a coherent, attractive and general approach to behavioral welfare economics.

This chapter explores the influence of the banking and insurance sectors on the economic growth of Czechia, a nation with unique financial dynamics ideal for this study. Our aim is to ascertain the contribution of these financial institutions to economic growth, addressing the divergence in empirical findings that have marked this research area for decades. We scrutinise the impact of various factors, including sectoral development and the efficiency and stability of these institutions, all within the Czech context. Utilising the Granger causality test, we assess the role of several indicators related to the development of the banking and insurance sectors. Our findings reveal that in Czechia, the evolution and operational efficiency of these financial institutions significantly drive economic growth. This study provides an in-depth understanding of the role these sectors play in the Czech economic landscape, affirming their crucial contribution to the nation's economic prosperity.

Employer-provided benefits are a large and growing share of compensation costs. In this paper, I consider three factors that can affect the value created by employer-sponsored benefits. First, firms have a comparative advantage (e.g., due to scale economies or tax treatment) in purchasing relative to employees. This advantage can vary across firms based on size and other differences in cost structure. Second, employees differ in their valuations of benefits and it is costly for workers to match with firms that offer the benefits they value. Finally, some benefits can reduce the marginal cost to an employee of extra working time. I develop a simple model that integrates these factors. I then generate empirical implications of the model and use data from the National Longitudinal Survey of Youth to test these implications. I examine access to employer-provided meals, child care, dental insurance, and health insurance. I also study how benefits are grouped together and differences between benefits packages at for-profit, not-for-profit, and government employers. The empirical analysis provides evidence consistent with all three factors in the model contributing to firms’ decisions about which benefits to offer.

Over recent decades both Europe and the United States have experienced an increase in the share of service-related jobs in total employment. Although narrowing in all European countries, a significant gap in the share of service jobs relative to the United States still persists. The aim of the chapter is to identify the main drivers of the service sector employment share in the EU-15 as well as its gap relative to the United States. The analysis is carried out for the aggregate service sector, 4 sub-sectors and 12 service sector branches over the period 1970–2003. We find some evidence to support the hypothesis that a number of labour market regulations – such as union density and the degree of centralisation of wage bargaining – together with the mismatch between workers' skills and job vacancies, have affected Europe's ability to adjust efficiently to the reallocation of labour from manufacturing into services. Furthermore, we find significant heterogeneity in the relative weight of the various determinants of the employment share across sub-sectors and branches.