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Open access

Ivan Huljak

Abstract

The view on banks as investments in Croatia is challenged by two phenomena: dual holdings (owners are intensely involved in bank balance sheet as, apart from equity, they provide a significant portion of deposits and loans) and the impediments to determining the cost of equity (as only a handful of banks are traded and with questionable liquidity in the capital market). The paper contributes to the literature by applying the panel regression on the translog cost function in order to calculate the shadow cost of equity for banks in Croatia for the period from 1994 to 2016. In the next step, the Economic Value Added was calculated by taking into account the dual holding role of bank owners. The results suggest that the shareholders economic value is significantly different from the accounting value. In addition, it seems that the standard view that domestic banks are less profitable than foreign banks is only valid from the accounting perspective.

Open access

Davor Galinec, Jadranka Vuglar and Dario Cvrtila

Abstract

The official statistics framework is based on internationally agreed standards, taking into account the core principles of impartiality, objectivity, professional independence, cost effectiveness, statistical confidentiality, minimisation of the reporting burden and high output quality. Since the latest 2007 global economic crisis, a growing demand for more, better and timelier data under limited resources for compilers and reporting agents has been observed. The concept of experimental statistics becomes more relevant, despite the lower quality in terms of coverage, data sources and harmonised definitions. The main aim of this paper is to present the methodological development of the residential property price index in Croatia from experimental to official statistics, as well as to show corresponding changes in time, which occurred due to the changes in methodological framework, institutional responsibility for compilation, coverage and data sources. A general conclusion of the paper is that publication of non-harmonized experimental statistics results, together with explanatory metadata, is better from the point of view of users than having nothing produced by official statistics.

Open access

Nikolina Bošnjak and Vesna Prorok

Abstract

This article provides an upgraded model for actuarial projection of the dependency ratio of the pension fund in the Republic of Srpska. The nonexistence of complete upto-date life tables presents a huge problem of the pension system and life insurance industry modelling in the Republic of Srpska. Therefore, this article tries to encompass the problem by using the life tables of the Republic of Croatia as a starting point for adjustment of age-grouped life tables available for population of the Republic of Srpska. The actuarial projection model for the Pension and Disability Insurance Fund of the Republic of Srpska is upgraded by using these adjusted life tables and the best estimate mortality trend for mortality forecasting. The results of the Republic of Srpska pension fund dependency ratio projections obtained using a forecast of adjusted life tables are compared to the previous research on this topic which used the life tables of the Republic of Serbia for 2013 for the same model. This way we can observe the effect of life expectancy growth on pension fund’s dependency ratio estimates as one of the measures of pension fund’s sustainability.

Open access

Amila Pilav-Velić, Hatidža Jahić, Jasmina Okičić and Meldina Kokorović-Jukan

Abstract

Education plays a central role in today’s understanding of growth and development dynamics. However, its relationship with other factors is complex. This paper aims to investigate the effect of different forms of education on youth employability in Bosnia and Herzegovina. This is done by using the USAID MEASURE – BiH National Youth Survey. Research has shown that formal education and non-formal education through internship programmes, volunteering, paid jobs other than internships are significant predictors of youth employment status. The study also has several implications for academics and practitioners since it provides new insights into both employment patterns and practices in one transition economy but also calls for further analysis of the link between education, formal and non-formal, and youth employment.

Open access

Tihana Škrinjarić

Abstract

This paper observes the short-run effects of stock market index composition changes on stock returns on the Zagreb Stock Exchange (ZSE). In that way, event study methodology is employed in order to estimate abnormal returns and compare them amongst three subsets of stocks: those leaving the market index, those entering it, and constantly included stocks. The research included 14 regular and extraordinary revisions of the market index in the period from January 2nd, 2015 until March 21st, 2018. The results have confirmed two research hypotheses: stock exclusions from the market index have a negative effect on stock returns on the ZSE, which is consistent with the price pressure hypothesis; and there exist asymmetric effects of index composition changes on stock returns. This is the first study of this kind on the Croatian stock market, thus more questions need to be answered in future research.

Open access

Denis Dolinar, Davor Zoričić and Zrinka Lovretin Golubić

Abstract

In the field of portfolio management the focus has been on the out-of-sample estimation of the covariance matrix mainly because the estimation of expected return is much more challenging. However, recent research efforts have not only tried to improve the estimation of risk parameters by expanding the analysis beyond the mean-variance setting but also by testing whether risk measures can be used as proxies for the expected return in the stock market. In this research, we test the standard deviation (measure of total volatility) and the semi-deviation (measure of downside risk) as proxies for the expected market return in the illiquid and undeveloped Croatian stock market in the period from January 2005 until November 2017. In such an environment, the application of the proposed methodology yielded poor results, which helps explain the failure of the out-of-sample estimation of the maximum Sharpe ratio portfolio in earlier research in the Croatian equity market.

Open access

Fahir Kanlić and Ademir Abdić

Abstract

National Statistical Institutes (NSIs) strive to produce short-term business statistics (STS) indicators with the high quality estimates in a timely manner. NSIs are usually faced with the challenges, such as differences in definitions, incompleteness of administrative data, periodicity and timeliness, coverage issues, etc. Administrative Value Added Tax (VAT) turnover data can be used to partially or completely replace survey data for the estimation of short-term business turnover indicators. In this paper, main characteristics of administrative VAT turnover data in Bosnia and Herzegovina will be examined through cleaning of VAT turnover data and matching them with survey data. Hence, the main objective of this study is to investigate the relationship between VAT turnover data and survey data in in Bosnia and Herzegovina. The Monthly Retail Trade Turnover Indices (RTI) for in Bosnia and Herzegovina will be estimated by using administrative VAT turnover data. Spearman’s correlation coefficients are used to examine the presence of a linear relationship between VAT turnover data and survey data. Results gained by using survey and administrative VAT turnover data will be compared. Based on the results of the analysis, future challenges and perspectives for expansion of using administrative VAT turnover data will be identified.

Open access

Rudi Seljak, Lea Bregar, Sanda Colić and Maja Dozet

Abstract

In spite of theoretical inferiority, a large majority of statistical institutes use non-probabilistic sampling techniques in price surveys. The main disadvantage of non-probabilistic sample design is that the risk of biased results is increased. Attempting to handle this risk in the domain of service producer price indices (SPPI) of professional services, the Croatian Bureau of Statistics (CBS) developed an innovative methodology and implemented it relying on the probability proportional to size (PPS) sample design. The purpose of the paper is to evaluate the impact of the probabilistic sampling strategy on the quality of price indices as shown in the case of SPPI for professional services at the CBS. The paper outlines respective methodological upgrading of SPPI compilation at the CBS, including also the method for variance estimation. The effect of the probabilistic sampling on SPPI is analysed by comparison with traditional purposive sampling surveys. The quality of SPPI based on the probabilistic sample approach is examined by coefficients of variation and confidence intervals.

Open access

Berislav Žmuk and Iris Mihajlović

Abstract

The expansion of the Internet has radically changed the way in which citizens travel, book and organise travel arrangements. Since innovation and new information technologies have become crucial determinants to encourage competitiveness in the tourism sector in Europe, this article investigates how selected development indicators influence the Percentage of individuals that use Internet for travel and accommodation services. Eurostat data for 34 European, European Union (EU-28) and selected EU candidates, countries for 2017 were analysed. It has been presented that (1) Gross Domestic Product per capita in Purchasing Power Standards; (2) Percentage of population aged 15 to 64, by tertiary education; as well as (3) Percentage of individuals aged 16 to 74, who have basic or above basic overall digital skills, all correlate positively and strongly with the main variable under study. The conducted regression analysis has shown that variable digital skills has the greatest impact on the main variable under the study. The K-mean clustering of countries resulted with four clusters. The Western Balkan countries can be found in a cluster which has in average the lowest values of all four variables in compare to the averages of other three clusters.

Open access

Gloria Gheno

Abstract

If there are no heavy sanctions in place to prevent it, the problem of the cancellation of appointments can lead to huge economic losses and can have a significant impact on underutilized resources of healthcare facilities. A good model to predict the appointment cancellations could be an effective solution to this problem. Therefore, a new Bayesian method is proposed to estimate accurately the probability of the cancellation of visits to healthcare institutions based on specific factors such as age. This model uses the regression for binary variables, linking the explanatory variables to the probability of appearance at a previously made appointment with a new weighted function and estimating the parameters with the Bayesian method. The goodness of the new method is demonstrated by applying it to a real case and by comparing it to other methodologies. Therefore, the advantages of the proposed method are exposed and possible real-world applications are described.