Aviation Management Program

Permanent URI for this collectionhttps://hdl.handle.net/10679/4367

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Browsing by Institution Author "SEDEFOĞLU, Gülşah"

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    Conference paperPublicationOpen Access
    The causality analysis of air transport and socio-economics factors: the case of OECD countries
    (Elsevier, 2017) Küçükönal, Hatice; Sedefoğlu, Gülşah; Professional Flight Program; Aviation Management; Kazda, A.; Smojver, I.; KÜÇÜKÖNAL, Hatice; SEDEFOĞLU, Gülşah
    Air transport is one of the most important industries in the world with its rapid growth, and direct and indirect contribution to world economy. In other words, GDP, tourism and employment are the key factors causing that growth in air transport and an increase in those factors boost the demand for air transport. However, uncertainty in economy, rising unemployment and increased terrorist attacks towards tourism would be a big threat to the growth of air transport in the future. To understand the importance of the mentioned factors, we first aim to apply an econometric approach which is panel Granger causality analysis. To achieve that, data from World Bank data set for OECD countries between the year of 2000 and 2013 is used in this study. We apply Pesaran CDLM test and Friedman’s test which are preferred when the number of units (N) is higher than the time (T) to test cross-sectional dependence and we then perform Granger causality analysis in order to see whether there is a causal relationship (unidirectional or bidirectional) or not among air transport, tourism, economic growth and employment. Econometric results indicate that there is a unidirectional short run causal relationship between economic growth, tourism, employment and air transport and that those factors play an important role in the growth of air transport. In this paper, we also aim to discuss the future challenges for air transport within the frame of econometric results and statistical analysis.
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    ArticlePublicationOpen Access
    What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty?
    (Centre of Sociological Research (CSR), 2017-04) Çağlayan-Akay, E.; Sedefoğlu, Gülşah; Professional Flight Program; SEDEFOĞLU, Gülşah
    The objectives of the study are to examine the determinants of the poverty status and to illustrate the probabilities of household poverty in Turkey using Household Budget Survey which was prepared by Turkish Statistical Institute, 2013. The data is reorganized as rural and urban area considering female- and male-headed households so that to analyze the determinants of household poverty. Bayesian probit regression is applied using a Markov Chain algorithm, Gibbs sampler. Results of the study show that the most effective variables, which cause a decrease of the probability of living under poverty line, are education level of bachelor for 4 years, master and PhD for female-headed households and household type of being single adult for male-headed households in urban area, working full time for male- and female-headed households in rural area. However, other most remarkable variables, which cause an increased risk of poverty, are being elderly, disabled or inoperable for male-headed households, being illiterate for female-headed households in urban area and for rural area, being elderly, disabled or inoperable for male- and marital status of being single for female-headed households.