Building responsive supervision over smaller banks in Europe: an insight from the Principal-Agent perspective

Abstract

The Single Supervisory Mechanism (SSM) is an administrative arrangement of national assistance to the ECB in exercising its exclusive supervisory competence. It sets two systems of assistance: ECB Direct Supervision (for large banks) and Indirect Supervision (for smaller and medium-sized banks) supervision. This paper analyzes dynamics between the ECB Banking Supervision as the principal and NCAs as its agents in the system of ECB Indirect Supervision. It identifies six formal (statutory) accountability and control mechanisms which are put at the ECB’s disposal to monitor the way how the NCAs carry SSM supervisory tasks when exercising the ECB’s exclusive supervisory competences under the SSM Regulation.     

Implicit attitudes toward risk: the construction and validation of the measurement method

Methods that are typically used to examine individual differences in risk attitudes (e.g. lotteries, dilemmas, questionnaires) require participants to explicitly declare their willingness to take risk. Therefore, they may be biased by the need for self-presentation or situational characteristics such as time pressure and cognitive constraints that lead to more spontaneous and automatic processing of risk-related information. The aim of this study was to construct an indirect measure of risk attitudes that is free of these methodological limitations. The method based on the Implicit Association Test shows high internal reliability and satisfactory stability over time. It correlates moderately with different explicit measures of risk attitudes that are related to sensation seeking. Finally, it is characterized by a high predictive power. Adding the implicit measure to the set of independent variables representing declarative evaluations of risk attitudes significantly improved the model predicting risky real-life behavior. We argue that the indirect assessment of risk attitudes presented in this paper may be used as an universal measure of people’s risk propensity that is free of biases related to self-presentation and situational factors.     

A microfoundation for normalized CES production functions with factor-augmenting technical change

Based on a tractable “endogeneous technology choice” framework, we provide a microfoundation for aggregate normalized constant elasticity of substitution (CES) production functions with non-neutral, factor-augmenting technical change. In this framework, firms are allowed to choose unit productivities of capital and labor optimally from a technology menu constructed under the assumption that unit factor productivities (UFPs) are independently Weibull-distributed. The Weibull distribution itself is also microfounded here: based on extreme value theory, it is found to be an accurate and robust approximation of the true UFP distribution if technologies consist of a large number of complementary components.     

Delegation,Ownership Concentration and R&D Spending: Evidence From Italy

We use data from the Italian manufacturing industry to document a positive correlation between delegation and R&D. This result is robust to controlling for the determinants of R&D such as human capital, capital intensity and sectoral or regional effects. We further investigate the determinants of delegation and find that ownership concentration is significantly related to delegation. Among large firms with a dispersed ownership structure, larger ownership concentration implies less delegation, whereas the opposite emerges with more concentrated ownership. Differences between the Northern and Southern regions in terms of firms' propensity to delegate decisions and engage in R&D also emerge.     

Revealed value of volunteering: A volunteer centre network

This article deals with the revealed value of volunteering. The revealed value approach is one way to determine the value of non‐market goods or services. Most studies focused on the value of volunteering have built their research on the presumption that there is no way to reveal the value of volunteering, and therefore proxies must be used. This research uses a plausibility probe case study to explore and identify revealed information about the value of volunteering. The research was conducted using data over a seven‐year period (2012–18) from ADRA, a large volunteer centre network in the Czech Republic that has 14 volunteer centres coordinating more than 2,500 volunteers in about 50 cities. I used the data about all the public funding of all the centres in this network between 2012 and 2018 in order to calculate the revealed value of volunteering from the perspective of various governmental institutions. I calculated the total value of volunteering, including financial grants, donations, and the value of volunteer hours. Interestingly, all three values were found within or slightly around the interval estimate of the value of volunteering.     

The World Technology Frontier: What Can We Learn from the US States?*

We re‐estimate the world technology frontier non‐parametrically using a dataset covering OECD country‐level data and US state‐level data on GDP per worker and the stocks of physical capital, unskilled labour and skilled labour. The auxiliary use of US state‐level data significantly reduces the upward bias in cross‐country estimates of technical efficiency, and so does allowing for imperfect substitutability between skilled and unskilled labour. We then use our adjusted estimate of the world technology frontier in a series of decompositions of productivity differences and sources of economic growth in the OECD in 1970–2000, including also ‘appropriate technology vs. efficiency’ decompositions.     

NegoManage: A System for Supporting Bilateral Negotiations

In this paper we present the NegoManage system, which aims at supporting the bilateral negotiation during all negotiation phases. The support includes the problem structure identification, the analysis of individual preferences of both parties, the messaging and offers exchange and the post-negotiation improvements of the agreement. The preference analysis is supported with a novel mechanism involving the specification of the classes of alternatives’ quality that represent particular levels of potential satisfaction from accepting this alternative as the negotiation solution. The consistency of preferences is also checked. The actual negotiation phase is performed in a typical way, namely the negotiators exchange multiple offers and messages. The novelty introduced in this phase is the mechanism for profiling the negotiators based on the classification of exchanged messages. The post-negotiation optimization phase employs the concept of a bargaining solution for improving the solution obtained in the previous negotiation phase. We present the way the mechanisms proposed work using simple numerical examples.