We examine the contribution and investment decisions made by members of a large UK‐based DC pension plan. We find that many employees appear to be relatively financially sophisticated and follow approaches consistent with economic and financial theory in terms of savings rates and investment...

Summary We analyze the relationship between early-career unemployment and prime-age earnings with German administrative linked employer-employee data. The careers of more than 720,000 male apprenticeship graduates from the cohorts of 1978 to 1980 are followed over 24 years. On average,...

Abstract This paper provides novel evidence on the time varying impact of government spending shocks on output in Germany over the years 1970 to 2013. In a first step, I use an expectations-augmented vector autoregressive model with time varying parameters (TVP-VAR) to show that fiscal...

Purpose – This paper seeks to explore whether temporary jobs are a port of entry into permanent employment and to argue that the answer crucially depends on the type of temporary contracts being considered. Design/methodology/approach – The paper bases its empirical evidence on a...

This article describes how Plato proposed the dualistic solution to the mind-body problem, providing an explanation along the lines of his epistemology. Francis Bacon, in 1600, formulated his vision of the scientific method that will be valid until the 1960's when Karl Popper proposed his...

Abstract This paper explores the use of heuristic search algorithms for modeling human decision making. It is shown that this algorithm is consistent with many observed behavioral regularities, and may help explain deviations from rational choice. The main insight is that the heuristic function...

We consider a decision maker who enjoys choosing from a varied set of alternatives. Building on behavioral evidence, we propose testable axioms which characterize preference for variety and provide a representation theorem. We go on to illustrate the potential effects of preference for variety...

Abstract Health impact simulation models are used to predict how a proposed policy or scenario will affect population health outcomes. These models represent the typically-complex systems that describe how the scenarios affect exposures to risk factors for disease or injury (e.g. air pollution...

Abstract In a recent issue of this journal, Philip Dawid (2021) proposes a framework for causal inference that is based on statistical decision theory and that is, in many aspects, compatible with the familiar framework of causal graphs (e.g., Directed Acyclic Graphs (DAGs)). This editorial...