Operations of a Pension Fund after the Asian Crisis: The Thai Experience*

During and after the Asian crisis, institutional investors and pension funds in Asian financial markets have been confronted with a number of difficulties effecting their performance and the way they carry out their role within the national pension system. We analyze these problems by comparing the actual investment policy of an institutional investor with an optimal investment strategy derived from the insights of modern portfolio theory. We also analyze whether the organizational set‐up of a pension fund allows it to adequately perform its role within the pension system. As an example, we examine the operations of the Thai Government Pension Fund (GPF). We find that allowing international investments and reducing restrictions on equity investments while lowering the implicit requirements for investments in government debt would allow the GPF to further diversify its investment risk and to increase its risk‐adjusted return. We also show that some changes in the governance structure of the GPF would lower the occurrence of conflicts of interest for the management and increase the efficiency of the GPF operations.     

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.     

OWNERSHIP STRUCTURE AND FIRM EXIT ROUTES

ABSTRACT

Our study presents empirical evidence about the role of ownership structure for firm exit probability by explicitly differentiating between distinct exit routes (bankruptcy and forced liquidation, voluntary liquidation, mergers and acquisitions – M&A, and removal from the court register). Based on the population of Slovenian firms in the 2006–2012 period and using multinomial probit, our findings support the predictions of agency theory. Ownership concentration, share of the largest owner, and the difference in shares between two largest owners all decrease the likelihood of exit for all studied exit routes but M&A. The magnitude of their impact is largest for exits, in which owners play a decisive role, i.e. voluntary liquidation and removal. The link between the number of primary owners and exit likelihood is U-shaped with the lowest exit probability for firms with around two owners.     

The European refugee crisis and the natural rate of output

The European Commission follows a harmonized approach for calculating structural (potential) output for EU member states that takes into account labour as an important ingredient. This article shows how the recent huge migrants’ inflow to Europe affects trend output. Due to the fact that the immigrants immediately increase the working population but effectively do not enter the labour market, we illustrate that the potential output is potentially upward biased without any corrections. Taking Germany as an example, we find that the average medium-term potential growth rate is lower if the migration flow is modelled adequately compared to results based on the unadjusted European Commission procedure.     

REPORTING GUIDELINES FOR META-ANALYSIS IN ECONOMICS

Meta-analysis has become the conventional approach to synthesizing the results of empirical economics research. To further improve the transparency and replicability of the reported results and to raise the quality of meta-analyses, the Meta-Analysis of Economics Research Network has updated the reporting guidelines that were published by this Journal in 2013. Future meta-analyses in economics will be expected to follow these updated guidelines or give valid reasons why a meta-analysis should deviate from them.     

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.