Migrants' Savings, Purchasing Power Parity, and the Optimal Duration of Migration

If some of the returns to migration accrue from returnmigration, the optimal duration of migration may be shorter thanthe feasible duration of migration. We develop a model that providesand highlights conditions under which return migration takesplace even though a reversal of the inter-country wage differentialdoes not occur. In particular, we consider the higher purchasingpower of savings (generated from work abroad) at home than abroadas a motive for return migration. Inter alia, our model producesa negative relationship between the optimal duration of migrationand the purchasing power differential and in some (but not all)cases, a negative relationship between the optimal duration ofmigration and the wage abroad. In addition, and contrary to ourprior anticipation, our utility maximization analysis suggeststhat East-West migration will tend to be temporary while inter-EuropeanCommunity (or intra-West European) migration will likely be permanent.     

Injury Prevention and Safety Promotion course in a Russian Master of Public Health programme

The Global Burden of Disease Studies describe and emphasise injury as a major and increasing component in the panorama of global ill health. Russia has the one of the highest injury rates in Europe. When a Master in Public Health programme was planned and started in 2007 in Arkhangelsk, Russia, under the auspices of University of Troms?, Norway, a course on Injury Prevention and Safety Promotion was included. A take-over programme (training-the-trainers) was implemented within the course. The present paper describes the course content, the students and their background, the training-the-trainers programme, the evaluation procedure and its results. So far, 53 students have passed the course, 77% being female. The majority of students were medical doctors (51%), psychologists (11%), pedagogues (9%), dentists (6%) and nurses (6%). The take-over programme has functioned well by gradually using students of excellence as teachers. In 2012, the take-over programme is completed and only Russians teach. Evaluation by students of the course content, organisation and pedagogic approach was useful for improvements.     

Ukrainian gas transit game

This paper investigates the origins and reasons for the termination of the Russian natural gas flow from Russia to Europe through Ukraine in January 2009. It discusses the strategic interaction of the three players (Russia, Ukraine and the European Union) based on the dynamics of losses from confrontation. The objective is to interpret the situation in a stylized way and to derive outcomes using calibrated parameters for costs and benefits of the players. We show that the stakes are high for both Russia and Ukraine in choosing to follow their preferred strategies, as both countries would sustain moderate losses during the initial period of conflict. Meanwhile, Europe’s lack of reserves makes it less prepared for the energy deficit than Ukraine and Russia, causing wider and earlier suffering for European countries dependent on Russian gas. Therefore, the European Union has a strong incentive to intervene in the conflict. Its actions during the January confrontation between Ukraine and Russia included extortion and bribery, all of which affected the outcome of the conflict.     

On option pricing in binomial market with transaction costs

Option replication is studied in a discrete-time framework with proportional transaction costs. The model represents an extension of the Cox-Ross-Rubinstein binomial option-pricing model to cover the case of proportional transaction costs for one risky asset with different interest rates on bank credit and deposit. Contingent claims are supposed to be 2-dimensional random variables. Explicit formulas for self-financing strategies are obtained for this case.Received: March 2004, Mathematics Subject Classification (2000): 62P05JEL Classification: G11, G13The authors are grateful to an anonymous referee for numerous helpful comments and to Yulia Romaniuk for final corrections. The paper was partially supported by grant NSERC 264186.     

Techno-economic case study on dedicated RAN for an intelligent transportation system: impact of the legislation-driven costs

Intelligent Transportation Systems (ITS) aim at improving daily travel experience. There are many promising communication technologies that could provide some ITS services. So far they have been predominantly evaluated from the technical point of view. This paper contributes a techno-economic evaluation of a case study on dedicated Radio Access Network (RAN) for public ITS. We analyze, calculate and compare Capital (CapEx) and Operational Expenditures (OpEx) for four different ITS-enabling wireless technologies: Ultra High Frequency standard, Wi-Fi 802.11n, Dedicated Short Range Communications (DSRC) 802.11p and LTE. This paper expands our results from Grigoryev et al. (2015). Here, we discuss in more details RAN planning and generalize legislation-driven cost influence on CapEx for DSRC and LTE deployments.     

Socio-economic influences of population density

While population density represents an important socio-economic parameter, its role is rarely studied in the economic literature （contrary to natural sciences）. Population density plays an important role in harvesting societies, i.e. those that depend on agriculture and natural resources. With the development of industry and services and emergence of urban areas, population density becomes less economically important unless we consider aspects related to pollution. There exists a phase transition between rural and urban area which makes population density less important in urban area contrary to rural. However, the economic influence of population density in harvesting societies is also not straight forward. Too high population density decreases the natural endowment per capita, but eases the development of infrastructure, leading to existence of an optimal population density for economic growth. It also influences the demand for a monopolistic product, where too little density can lead to non-survival of a monopoly. Emergence of ethnic communities is based on more cooperative behavior in the case of low cultural and physical distances. At the same time, higher probability of large projects （like infrastructure） leads to development of cooperative behavior in the society. Elaboration along these lines leads to the conclusion that population density positively correlates with individualistic （non-cooperative, non-altruistic） behavior, through less time spent in cooperative infrastructure projects and higher frequency of meetings between individuals that with some probability lead to non-cooperative games.     

Gas transportation, geopolitics and future market structure

Recent studies have shown the important role of geography, politics and technology for the evolution of markets for natural gas. Gas market differs from other markets due to high share of transport and infrastructure costs. Since investment is location specific, it involves also geopolitical aspects as a consequence. Future market structure becomes path dependent on the investment decisions, particularly in gas infrastructure (pipelines and LNG). Another important aspect that shapes future gas market is heterogeneity in reserve-production ratios across gas producing countries that will eventually lead to the emergence of narrow oligopoly formed by countries with the largest reserves: Russia, Iran and Qatar. The goal of this paper is to analyse a long run gas game. There exist several time scales, and by backward induction we arrive at the conclusion that some time during the 21st century (we name it long run) there will be an oligopoly consisting of only three major gas reserve holders: Russia (26%), Iran (15%) and Qatar (14%). They will face the demand from three major gas importers: EU, USA and Core Asia. While the development paths and market structures are highly uncertain in the middle run (when temporal competition with rivals having 3% or less of gas reserves is feasible), the cloud of uncertainty shrinks in the long run. But investment strategies of major players in the middle run will determine the topology of gas infrastructure in the long run. All the players have a vector of strategic choices where geography, politics and technology set their limitations. Putting it in a simple formal framework, we can say that players choose: intensity of exploitation and shares of investment in transport infrastructure (LNG and location-specific pipelines). Geographical analysis of gas fields of Russia shows that it has moderate flexibility, but still can control the future share of LNG and pipeline flows to Europe and Asia. Pipelines to EU are slightly preferred to pipelines to Asia but political aspects may play crucial role. Qatar is likely to invest only in LNG, but has the flexibility in the speed of its field exploitation (it may be lower that for Russia). Iran has the highest technological and geographical freedom in choices. Future market structures for gas can vary from oligopolistic to monopolistic–monopsonistic relationship, with possibly different prices.     

Do Stars Shine? Comparing the Performance Persistence of Star Sell-Side Analysts Listed by Institutional Investor,the Wall Street Journal,and StarMine

We investigate the profitability persistence of the investment recommendations from analysts listed in four different star rankings, Institutional Investor magazine, StarMine’s “Top Earnings Estimators” and “Top Stock Pickers”, and The Wall Street Journal, and show the predictive power of each evaluation methodology. We found that only Buy and Strong Buy recommendations from the entire group of Star analysts outperform those of the Non-Stars in the year after election, while Sell and Strong Sell recommendations performed as those of the Non-Stars. We document that the highest average monthly abnormal return of holding a long-short portfolio, 0.97 %, is obtained by following the recommendations of the group of star sell-side analysts rated by StarMine’s “Top Earnings Estimators” during the period from 2003 to 2014. Since earnings are one of the main drivers of stock prices, the results obtained are in line with the notion that focusing on superior earnings forecasts is one of the top requirements for successful stock picks.