Countries’ adoption of the International Financial Reporting Standard for Small and Medium-sized Entities (IFRS for SMEs) – early empirical evidence

The International Financial Reporting Standard for Small and Medium-sized Entities (IFRS for SMEs) is increasingly being adopted in a number of jurisdictions. Despite the economic importance of non-publicly accountable entities, little is known about what factors influence countries' decisions to adopt IFRS for SMEs. In a unique sample of 128 countries, we find that countries that are not capable of developing their own local generally accepted accounting principles are more likely to adopt IFRS for SMEs. We also provide evidence that in jurisdictions where full IFRS have been applied to private firms, the likelihood of adoption of IFRS for SMEs increases, suggesting that jurisdictions reduce the financial reporting burden on SMEs. Moreover, in line with prior literature, there is evidence that countries with a relatively low quality of governance institutions are more likely to adopt this new set of accounting standards. The results also hold under alternative measures and different estimation approaches. Overall, our results are helpful in understanding the worldwide diffusion of IFRS for SMEs. Standard setters and regulators might consider our study in the future development of accounting harmonisation of non-publicly accountable entities.     

ON THE ROBUSTNESS OF RANGE‐BASED VOLATILITY ESTIMATORS

We empirically examine Parkinson's range‐based volatility estimate in the federal funds market, which is unique because institutional regulations create a predictable pattern in interday volatility. We find that range‐based volatility estimates and standard deviations produce the expected volatility pattern. We also find that at trading pressure points where microstructure noise should be greatest, range‐based estimates are less than the standard deviations. Thus, we support the argument that range‐based volatility estimates remove the upward bias created by microstructure noise. We find that the Parkinson method is the most efficient range‐based volatility measure among a set of alternates in this market.     

Bonds versus stocks: Investors’ age and risk taking

It has become increasingly popular to advise investors to relocate their funds from a primarily stock portfolio to a primarily bond portfolio as they get older. However, the well-known decision rules such as mean–variance or stochastic dominance rules are unable to explain this common practice. Almost stochastic dominance (ASD) and almost mean–variance (AMV) approaches are used to examine the dominance of stock and bond portfolios. ASD and AMV rules unambiguously support the popular practice of advising higher stock to bond ratio for long investment horizons. Hence, we provide an explanation to the practitioners’ recommendation within the expected utility paradigm.     

To liberalize or not to liberalize: Political and economic determinants of financial liberalization

Using a sample of 70 emerging market and developing countries, we examine the political and economic factors which affect the government's decision to liberalize the domestic equity markets. We document that the levels of industrialization and financial development, the quality of investor protection, and the level of the government's involvement in the economy are closely associated with the stock market liberalization decision. Furthermore, we find a positive and significant relation between the amount of foreign financial aid received by the governments in emerging market countries and the probability of stock market liberalization.     

Young Adults Living with their Parents and the Influence of Peers

This study examines the impact of peer behaviour on the living arrangements of young adults in the US using data from the National Longitudinal Study of Adolescent Health. We achieve identification by exploiting the differences in the timing of leaving the parental home among peers, the individual‐specific nature of the peer groups that are based on friendship nominations, and by including network and cohort fixed effects. Our results indicate that there are statistically significant peer effects on young adults’ decisions to leave the parental home. We discuss various mechanisms and confirm the robustness of our results through a placebo exercise.     

Development Aid to Agriculture and Economic Growth

The link between foreign aid and economic growth has been a controversial issue with no strong consensus so far. This paper argues that a possible reason why some studies may conclude that aid is ineffective in promoting economic growth might be that not all aid is given for development purposes (i.e. aid given for strategic considerations, humanitarian reasons or emergency relief). This study classifies foreign aid into four subcategories: agricultural aid, social infrastructure aid, investment aid, and non‐investment aid. Using the generalized method of moments (GMM) estimation technique on a Barro type growth regression with panel data from the aid recipient economies, this paper finds that when aid is directed to the agricultural sector of the developing countries, it is positively and significantly related to growth and can affect economic growth in the short run.     

The Power of Social Network Construction and Analysis for Knowledge Discovery in the Medical Referral Process

The social network model is powerful enough to provide for the analysis and study of a variety of application domains from daily life, including health care and health informatics. After the widespread appearance of automated tools capable of deriving and analyzing social networks, social network analysis (SNA) and mining in the health care domain has recently received considerable attention for its key role in understanding how various bodies within the health care system form communities and how they are socially connected with each other. This understanding helps enhance the organizational structures and process flows, among others. In this article, we show how SNA techniques can solve issues in the medical referral system in the Canadian health care system and the like, by analyzing the social network of general practitioners (GPs) and specialists (SPs). One of the main targets is to optimize the communication between GPs and SPs with hopes of decreasing the waiting time of patients to be seen by SPs. Various SNA and mining techniques are described and analyzed, backed by reporting some experimental results.     

Energy analysis of Japanese industries : A time series analysis

Characteristics of Japanese industries in the past 15 years have been investigated in terms of energy intensities, or energy directly and indirectly spent for production of a unit output in industries. The methodology of the analysis is similar to that by Herendern, that is an extension of input-output approach, but with various modifications. Data are seven input-output tables, of about 400 x 400 items published by the Japanese government. Changes in energy intensities with time are disaggregated into two factors, 1) changes in direct energy intensities and 2) changes in nonenergy resource use or in the ratios of value added taxes. Observation of these factors in the last 15 years reveals that the latter factor has been highly significant in energy conservation, especially in machine industries, the raw materials of which are mainly iron and steel. It is also observed that conventional energy conservation efforts have scarcely been dependent on nonenergy resource conservation.