Monetary Policy with Uncertain Parameters

This paper shows that—in contrast to the received wisdom—uncertainty about the parameters in a dynamic macroeconomic model may lead to more aggressive monetary policy. In particular, when there is uncertainty about the persistence of inflation, it may be optimal for the central bank to respond to shocks more aggressively in order to reduce uncertainty about the future development of inflation. Uncertainty about other parameters, on the other hand, dampens the policy response.
JEL classification : E 43; E 52     

Issues in the estimation and application of latent structure models of choice

Our paper provides a brief review and summary of issues and advances in the use of latent structure and other finite mixture models in the analysis of choice data. Focus is directed to three primary areas: (1) estimation and computational issues, (2) specification and interpretation issues, and (3) future research issues. We comment on what latent structure models have promised, what has been, to date, delivered, and what we should look forward to in the future.     

Assessing the Reliability of Self‐reported Income Information in Informal Small Business Lending through a Bogus Pipeline Experiment

Coping with asymmetric information plays a major role in successful small business lending. Our purpose is to determine if small business applicants report their income information correctly when requesting a loan. We use a randomised controlled trial bogus pipeline experiment, established during a typical cash‐flow analysis of a bank for small businesses in the Philippines. The bogus pipeline approach is commonly applied in social science and aims to increase the rate of truth telling by informing participants that answers will be verified by a lie detector. The experimental data, which include 243 observations of credit clients that are mainly from the agricultural and food value chain, served to identify asymmetric information. Additionally, debtors’ repayment behaviour for approved loans was observed by the bank. Our results indicate that loan applicants of the treatment group report lower incomes, an effect which is most pronounced in lower income quantile. Our analyses also reveal higher loan delinquencies in the control group.     

A combination of differentiation and consolidation theory and risk-benefit analysis to examine decisions on mastitis prevention

Abstract

Mastitis infections cause severe pain in dairy cows and are the most costly illness to farmers. This study combined differentiation and consolidation (Diff-Con) theory with risk-benefit analysis to explore how risky decisions are perceived and justified after a decision has been taken. More specifically, using survey data from 428 Swedish dairy farmers, their decisions about adopting preventive measures to control mastitis (mastitis control options, MCO) in dairy herds were examined. The analyses included group comparisons with non-parametric rank tests and use of both ordinary least squared regression and seemingly unrelated regression analysis to examine how prior adoption of MCO affects farmers’ attitudes to the MCO. The results showed that MCOs already adopted were rated higher in perceived riskiness (if not implemented) and in expected benefit (for illness prevention) than non-adopted MCOs. Having made the decision to implement a strategy increased the likelihood of that decision being perceived as more beneficial (reducing mastitis) and risky (in terms of disease increase if not implemented), irrespective of the combination of strategies used on the farm, during the post-consolidation stage. No difference in perceived illness prevalence could explain the farmers’ rating of the MCOs. These findings suggest that there may be a path dependency in farmers’ decision-making with respect to MCO. This implies that novel MCOs may have difficulty in achieving wider implementation. These results have implications for the development of strategies to communicate best practices for use of MCOs and for new research on MCOs and farmers’ decision-making.     

Ökonomische Aspekte der Entlohnung und Regulierung unabhängiger Versicherungsvermittler

The compensation and regulation of independent intermediaries is an important issue in insurance markets. With this respect, the profitability and importance of fee-for-service and commission compensation of intermediaries is lively discussed in academia and in the insurance industry. This paper summarizes economic rationales why and in which lines of business insurance companies sell their products via independent intermediaries. With this respect, it is analyzed how different forms of compensation affect important market functions of independent intermediaries. Finally, the economic impact of certain regulatory interventions, like a mandatory disclosure or a general ban of any commissions and the German ban for intermediaries to share commission with policyholders, on market efficiency is discussed.     

Transformational change and the vacuum of performance measurement: How a story of success became a failure

Some local government organisations stand out in terms of their capability to adopt and use management accounting innovations and become a model for those struggling with issues such as performance measurement (PM). But what happens to the innovations if the organisation is forced into transformational change? This longitudinal case study is based on the theory that the use and impact of PM is influenced by (a) its contractibility and (b) how the performance management systems in place are configured and used. One conclusion is that transformational change can result in a vacuum of PM, even with a high degree of contractibility.     

Book Review

Book Review

Book Review     

Erklärungsansätze für vertragswidriges Verhalten Versicherungsnehmern aus Sicht der ökonomischen Theorie

The two main purposes of this paper are an introduction to the economic analysis of insurance fraud and furthermore a derivation of factors that determine fraudulent behavior of policyholders on insurance markets. Consequently, we analyze the strategic decision problems of insurance companies and the policyholders and identify some factors that can help to reduce fraudulent behavior. In this context we evaluate two derived starting points for the combat against insurance fraud: fraud detection systems and a consequent charge policy of detected defrauders. We illustrate that both points can help to reduce the cost of fraud. Furthermore, we enhance our earlier analysis with respect to the empirical fact that some individuals care about fairness or — in the insurance fraud context — the legitimacy of their actions. Surprisingly, in some market situations these concerns of some policyholders do not lead to a lower fraud probability. Finally, we discuss how and to what extent insurance companies can influence such ethical concerns of policyholders. On that score, we distinguish insurance specific and insurance unspecific factors and their impact on the consumers attitudes towards insurance fraud.     

The Impact of Insurance Fraud Detection Systems

This article analyzes the impact of detection systems in an insurance fraud context. In a noncommitment Costly State Verification setting insurers can only detect fraudulent claims by performing costly audits, and policyholders are overcompensated by the optimal insurance contract. We show that auditing becomes more effective and overcompensation can be reduced, when insurers are able to condition their audits on the information provided by detection systems.