Buchbesprechungen

Ohne Zusammenfassung     

Ehrung

Ohne Zusammenfassung     

Stochastic Production and Heterogeneous Risk Preferences: Commercial Fishers' Gear Choices

We present a model of fishers' gear choice, which allows for heterogeneity both in production technology and risk preferences and apply it on a panel of Swedish trawlers. Stochastic revenue functions are estimated and used to predict the mean and standard deviation of revenue for each trip. In a random-parameters logit model, we test if these predicted values explain gear choice. A majority of fishers respond positively to increased mean and negatively to increased variability of expected landing values, indicating risk aversion, but also show a strong tendency to choose the same gear used on the previous trip.     

Der Einfluß von Veränderungen des Preisniveaus auf den Grenznutzen des Geldes

Ohne ZusammenfassungAus dem Englischen übersetzt von Gerhard Tintner, Wien.     

Model Selection for Monetary Policy Analysis: How Important is Empirical Validity?*

We investigate the economic significance of trading off empirical validity of models against other desirable model properties. Our investigation is based on three alternative econometric systems of the supply side, in a model that can be used to discuss optimal monetary policy in Norway. Our results caution against compromising empirical validity when selecting a model for policy analysis. We also find large costs from basing policies on the robust model, or on a suite of models, even when it contains the valid model. This confirms an important role for econometric modelling and evaluation in model choice for policy analysis.     

Cursed by Resources or Institutions?

Natural resource‐abundant countries constitute both growth losers and growth winners, and the main difference between the success cases and the cases of failure lies in the quality of institutions. With grabber‐friendly institutions more natural resources push aggregate income down, while with producer‐friendly institutions more natural resources increase income. Such a theory finds strong support in data. A key question we also discuss is if resources in addition alter the quality of institutions. When that is the case, countries with bad institutions suffer a double resource curse – as the deterioration of institutions strengthens the negative effect of more natural resources.     

Poverty and crime in 19th century Germany

We estimate the impact of poverty on crime in 19th century Bavaria, Germany. Rainfall is used as an instrumental variable for grain (rye) prices to address econometric identification problems in the existing literature. The rye price was a major determinant of living standards during this period. The rye price has a positive effect on property crime: a one standard deviation increased property crime by 8%. OLS estimates are twice as large as instrumental variable estimates, highlighting the value of our empirical approach. Higher rye prices lead to significantly less violent crime, though, and we argue that higher beer prices, caused by the higher rye prices, are a likely explanation.     

Learning lessons: how to practice nudging around the world

Abstract

The aim of this article is to cover three things: (1) to introduce the context behind why a report prepared by the Organisation for Economic Co-operation and Development (OECD) in 2017 would be of such importance to researchers in various academic disciplines and public policy, (2) to present the details of a simple classification system that was applied to all 111 case studies of behavioural interventions (better known as nudges) referred to in the OECD (2017a OECD. 2017a. Behavioural Insights and Public Policy Lessons from Around the World.1-408 pp. OeCD Publishing. https://read.oecd-ilibrary.org/governance/behavioural-insights-and-public-policy_9789264270480-en. doi:10.1787/9789264270480-en.[Crossref] , [Google Scholar]) report, and (3) to discuss what needs to be done to help advance practitioners’ pursuit of effective behavioural interventions. This article aims to highlight the importance of accurately cataloguing the types of behavioural interventions that have been trialled/implemented across the world. By adopting an agreed classification system, researchers and practitioners can benefit from knowing what can work, and where it can work, as well as what does not work, in order to be better armed when considering the use of behavioural interventions to solve social policy issues.