A new non-linear AR(1) time series model having approximate beta marginals

We consider the mixed AR(1) time series model $$X_t=\left\{\begin{array}{ll}\alpha X_{t-1}+ \xi_t \quad {\rm w.p.} \qquad \frac{\alpha^p}{\alpha^p-\beta ^p},\\ \beta X_{t-1} + \xi_{t} \quad {\rm w.p.} \quad -\frac{\beta^p}{\alpha^p-\beta ^p} \end{array}\right.$$ for ?1 < β ^p ≤ 0 ≤ α ^p  < 1 and α ^p ? β ^p  > 0 when X _t has the two-parameter beta distribution B₂(p, q) with parameters q > 1 and ${p \in \mathcal P(u,v)}$ , where $$\mathcal P(u,v) = \left\{u/v : u < v,\,u,v\,{\rm odd\,positive\,integers} \right\}.$$ Special attention is given to the case p = 1. Using Laplace transform and suitable approximation procedures, we prove that the distribution of innovation sequence for p = 1 can be approximated by the uniform discrete distribution and that for ${p \in \mathcal P(u,v)}$ can be approximated by a continuous distribution. We also consider estimation issues of the model.     

The effectiveness of fiscal spending in Croatia,Slovenia and Serbia: the role of trade openness and public debt level

Various structural characteristics of economies, directly or indirectly, affect the transmission from government stimuli to economic activity and determine the size of fiscal multipliers. In this article, we expand the standard Blanchard–Perotti fiscal SVAR model by incorporating the public debt and trade openness variables to assess the influence of these structural determinants on the effectiveness of fiscal spending in three selected former Yugoslav countries – Slovenia, Croatia and Serbia. The results confirmed the main hypotheses, which state that public debt level and trade openness significantly affect the effectiveness of fiscal spending through the means of reduction in size of fiscal effects in all countries analysed. When comparing internationally, this reduction tends to be more evident in countries with a higher degree of average public debt level and trade openness.     

A noncooperative model of contest network formation

In this paper we study a model of weighted network formation. The bilateral interaction is modeled as a Tullock contest game with the possibility of a draw. We describe stable networks under different concepts of stability. We show that a Nash stable network is either the empty network or the complete network. The complete network is not immune to bilateral deviations. When we allow for limited farsightedness, a stable network immune to bilateral deviations must be a complete $M$-partite network, with partitions of different sizes. We provide several comparative statics results illustrating the importance of the structure of stable networks in mediating the effects of shocks and interventions. In particular, we show that an increase in the likelihood of a draw has a nonmonotonic effect on the level of wasteful contest spending in the society. To the best of our knowledge, this paper is the first attempt to model weighted network formation when the actions of individuals are neither strategic complements nor strategic substitutes.     

Wage inequality and the labor market impact of economic transformation: Croatia, 1970–2008

In this paper, we examine wage inequality and wage differentials in Croatia from 1970 to 2008 using two long aggregate time series on the distribution of income. We focus especially on changing income inequality related to educational and vocational attainment, changing income inequality within those groups, and how these two components of inequality were affected by the economic transformation from socialism to capitalism. We find that income inequality between groups rose moderately post-transformation, while overall inequality increased more sharply. This finding is consistent with a growing importance of individual rather than group productivity in labor market compensation, a change broadly consistent with the economic transformation of the Croatian labor market.     

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.     

Developing a financial conditions index for a post-transition country: the case of Croatia

The interconnection between financial and business cycles and the importance of surveillance over financial markets emphasise the need for the development of indicators that could trace financial conditions in a country. In this paper, we focus on developing a financial conditions index for a post-transition country – Croatia. Since financial conditions indices for post-transition markets differ from those for developed markets due to differences in the development of their financial systems and the availability of data, we show that financial conditions indices constructed for post-transition markets need to be tailored to the specifics of such markets.