Financial Support from the Family Network and Illegal Immigration

Barriers to immigration of low‐skilled workers from developing countries into the advanced countries prevent many potential migrants from leaving their countries of origin. With very low home‐country wages in relation to the cost of undocumented migration, the opportunity to migrate often hinges on the possibility of obtaining credit from a human smuggling organization or family and friends. This paper examines the conditions under which migration is optimal for an individual who lacks liquid assets, with a focus on alternative options for financing migration costs. One is by accumulating the required amount of savings out of source‐country income, with or without financial support from the family or social network. The other is debt‐bonded migration, which involves borrowing from a smuggling organization and paying off the loan while working in the host country. I find that greater financial support from the family network increases the attractiveness of debt‐bonded relative to self‐financed migration.     

Tail risk in emerging markets of Southeastern Europe

This article examines the left-tail behaviour of returns on stocks in Southeastern Europe (SEE). We apply conditional extreme value theory (EVT) approach on daily returns of six stock market indices from SEE between 2004 and 2013. Predictive performance of value-at-risk (VaR) and expected shortfall (ES) based on EVT is compared against several alternatives, such as historical simulation and analytical approach based on GARCH with a single conditional distribution. Model backtesting with daily returns shows that EVT-based models provide more reliable VaR and ES forecasts than the alternative models in all six markets. Unlike the alternatives, the EVT-based models cannot be rejected as VaR confidence level is increased. This emphasizes the importance of extreme events in SEE markets and indicates that the ability of a model to capture volatility clustering accurately is not sufficient for a correct assessment of risk in these markets.     

Forecasting high-frequency excess stock returns via data analytics and machine learning

Borsa Istanbul introduced data analytics to present additional information about its market conditions. We examine whether this product can be utilized via various machine learning methods to predict intraday excess returns. Accordingly, these analytics provide significant prediction ratios above 50% with ideal profit ratios that can reach up to 33%. Among all the methods considered, XGBoost (logistic regression) performs better in predicting excess returns in the long-term analysis (short-term analysis). Results provide evidence for the benefits of both the analytics and the machine learning methods and raise further discussion on the semistrong market efficiency.     

Using the UTAUT model to analyze user intention to accept electronic payment systems in Serbia

Portuguese Economic Journal - This study applies The Unified Theory of Acceptance and Use of Technology (UTAUT) to explain the acceptance of electronic payment systems in Serbia. We used extended...     

The role of satisfaction in labor diaspora dynamics: An analysis of BREXIT effects

In diaspora research, people's international mobility is often understood as a response to pull-push forces on an economic macro-level or as part of diasporic waves. However, labor diaspora formations are also influenced by micro-level (i.e., individual perceptions) drivers related to work per se, such as satisfaction. This explorative qualitative study takes a novel angle and focuses on the role of Portuguese nurses’ satisfaction with the evaluation of the Brexit scenario and its effects on this labor diaspora's mobility and stability. The findings illustrate that satisfaction, although affected by uncertainty, mainly relates to perceived working conditions and legislation and the possibilities to communicate with locals and other diasporans. This paper provides suggestions for future research and contributes to the development of theory on staying and human stickiness, explaining the dynamics of exit and entry in (re-)migration decision making.     

Origins of regional divergence: economic growth in socialist Yugoslavia†

Relative to western Europe, we know very little about the determinants of economic growth at the regional level within socialist Europe. This is somewhat unusual, given that socialist policy-makers have put great emphasis on equitable regional development. This article analyses the regional patterns of growth and divergence in socialist Yugoslavia. New estimates of output and inputs are constructed, and an analysis of output growth, factor accumulation, structural modernization, and productivity is provided. Two novel empirical findings are uncovered. The first is that the sources of growth across the regions were fundamentally different. Total factor productivity was a much more important source of growth in the richer regions than it was in the poorer ones. The second finding is that the source of the regional income divergence lies in the failure of the less developed regions to converge towards the employment rates and total factor productivities of the more developed regions. These failures are interpreted, at least partially, as symptoms of the governing objective and the soft budget constraint of the labour-managed firms that operated in Yugoslavia. It is argued that Yugoslavia's development model was less suited to the pre-conditions that prevailed in the less developed parts of the country.     

Autocatalytic Growth and Development and the South-North Convergence

Abstract:

This article engages with the issue of income convergence between North and South by using the autocatalytic hypothesis of growth and development. Two system models describe positive and negative feedback loops which govern economic flows between North and South. The analysis of endogenous and exogenous negative feedbacks points to the process that would slowly push the world economy towards vanishing growth rates and, eventually, halt its material growth. The present work rejects convergence in per capita GDP between North and South from the theoretical perspective. Such an outcome would stand against one of the fundamental properties of autocatalytic dynamics—centripetality— that has its causal roots in the competitive process and capitalist institutions. In that sense, the autocatalytic hypothesis provides a theoretical explanation for those empirical analyses that dismisses convergence.     

The Effects of UI Benefits on Unemployment and Subsequent Outcomes: Evidence from a Kinked Benefit Rule

This paper analyses the effects of unemployment insurance benefits on unemployment exits and subsequent labour market outcomes. We exploit a piecewise linear relationship between the previous wage and benefits in Finland to identify the causal effects of the benefit level by using a regression kink design. Although we only find weak evidence of an effect on the time to the next job, higher benefits decrease the time spent in part-time unemployment and thus result in more full-time unemployment. The re-employment probability and post-unemployment wage are also negatively affected. The results for the duration of the first post-unemployment job are not conclusive, but in total both employment and earnings in the two years following the beginning of the unemployment spell decrease with higher benefits.