Fairness in the Mail and Opportunism in the Internet: A Newspaper Experiment on Ultimatum Bargaining

Abstract. On 11 May 2001, readers of the Berliner Zeitung were invited to participate in an ultimatum bargaining experiment played in the strategy vector mode: each participant chooses not only how much (s)he demands of the DM1,000 pie but also which of the nine possible offers of DM100, 200, …, 900 (s)he would accept or reject. In addition, participants were asked to predict the most frequent type of behavior. Three randomly selected proposer–responder pairs were rewarded according to the rules of ultimatum bargaining and three randomly chosen participants of those who predicted the most frequent type of behavior received a prize of DM500. Decisions could be submitted by mail, fax or via the internet. Behavior is described, statistically analyzed and compared to the usual laboratory ultimatum bargaining results.     

Developing a tutoring module for presentation of computerized patient management problems

The simulation problem is one of the most commonly used formats in computer-assisted instruction (CAI). In medical education, a patient simulation problem is known as a patient management problem (PMP). A number of computerized PMP systems are currently available. However, to date, there is no record of PMP systems having been developed using artificial intelligence. This is noteworthy since artificial intelligence techniques could help in the generation of more effective and intelligent instructional systems.

This paper analyzes and evaluates existing instructional simulation software in clinical medicine in terms of effective educational design attributes. Components of effective PMP systems thus identified are incorporated into a computerized instructional system which uses artificial intelligence techniques for teaching problem-solving and diagnostic skills to undergraduate medical students.     

Simple Identification and Specification of Cointegrated Varma Models

We bring together some recent advances in the literature on vector autoregressive moving‐average models, creating a simple specification and estimation strategy for the cointegrated case. We show that in this case with fixed initial values there exists a so‐called final moving‐average representation. We prove that the specification strategy is consistent. The performance of the proposed method is investigated via a Monte Carlo study and a forecasting exercise for US interest rates. We find that our method performs well relative to alternative approaches for cointegrated series and methods which do not allow for moving‐average terms. Copyright © 2014 John Wiley & Sons, Ltd.     

Estimating the demand for reserve assets across diverse groups of countries

This paper takes a fresh look at the determinants of the holding of reserves with the aim of highlighting similarities and differences among emerging markets (EMs), advanced economies (AEs), and low‐income countries (LICs). We apply two panel estimation techniques: fixed effects (FE) and common correlated effects pooled mean group (CCEPMG). FE regression results suggest that precautionary savings’ motives, both current account‐ and capital account‐related, are generally the most important determinants of reserves’ holding for all country groups. Nonetheless, there is considerable heterogeneity across country groups and over time. The intertemporal motive, a novelty of this paper, has gained importance everywhere. The CCEPMG results confirm the importance of precautionary motives and suggest that current account motives matter only for EMs and LICs and capital account motives matter for all groups while being more relevant for EMs. The CCEPMG results also point to the importance of taking into account the heterogeneous impact of unobserved common factors that affect coefficient estimates and the dynamic process through which reserves adjust to changes.