İktisat Bölümü Yayın Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/402

Browse

Now showing 1 - 4 of 4

Citation - WoS: 8
Citation - Scopus: 6
Distinct Asymmetric Effects of Military Spending on Economic Growth for Different Income Groups of Countries
(Taylor & Francis Ltd, 2023) Ocal, Nadir; Yildirim, Julide; Karadam, Duygu Yolcu
Although possible asymmetries for univariate and multivariate dynamics have been the focus of interest in many areas of economic explorations, it seems that most of the research on military expenditure - economic growth nexus has tended to assume linear relationships. This paper aims to examine possible nonlinearities in military expenditure-economic growth nexus employing data for a sample of 103 countries covering the 1988-2019 period. For this purpose, Panel Smooth Transition Regression, PSTR, models are estimated not only for all countries' sample but also for low income, middle income, and high-income countries' subsamples to reveal possible distinct asymmetric relationships for country groups with different income levels. Empirical results for the whole sample, low income and middle income groups indicate that military expenditure not only governs the regime change, but also low and high levels of military expenditure have distinctive and rising negative effects on economic growth with dissimilar threshold effects. Moreover, empirical findings also indicate that net arms exports govern regime change for high income countries, and as net arms exports rise, the negative impacts of military expenditure on economic growth become deeper.
Citation - WoS: 4
Citation - Scopus: 4
Inference in Multivariate Linear Regression Models With Elliptically Distributed Errors
(Taylor & Francis Ltd, 2014) Yazici, Mehmet; Islam, M. Qamarul; Yildirim, Fetih
In this study we investigate the problem of estimation and testing of hypotheses in multivariate linear regression models when the errors involved are assumed to be non-normally distributed. We consider the class of heavy-tailed distributions for this purpose. Although our method is applicable for any distribution in this class, we take the multivariate t-distribution for illustration. This distribution has applications in many fields of applied research such as Economics, Business, and Finance. For estimation purpose, we use the modified maximum likelihood method in order to get the so-called modified maximum likelihood estimates that are obtained in a closed form. We show that these estimates are substantially more efficient than least-square estimates. They are also found to be robust to reasonable deviations from the assumed distribution and also many data anomalies such as the presence of outliers in the sample, etc. We further provide test statistics for testing the relevant hypothesis regarding the regression coefficients.
Citation - WoS: 3
Citation - Scopus: 5
Mahalanobis Distance Under Non-Normality
(Taylor & Francis Ltd, 2010) Tiku, Moti L.; Islam, M. Qamarul; Qumsiyeh, Sahar B.
We give a novel estimator of Mahalanobis distance D2 between two non-normal populations. We show that it is enormously more efficient and robust than the traditional estimator based on least squares estimators. We give a test statistic for testing that D2=0 and study its power and robustness properties.
Citation - WoS: 13
Citation - Scopus: 13
Multiple Linear Regression Model With Stochastic Design Variables
(Taylor & Francis Ltd, 2010) Islam, M. Qamarul; Tiku, Moti L.
In a simple multiple linear regression model, the design variables have traditionally been assumed to be non-stochastic. In numerous real-life situations, however, they are stochastic and non-normal. Estimators of parameters applicable to such situations are developed. It is shown that these estimators are efficient and robust. A real-life example is given.

Browse

Browsing İktisat Bölümü Yayın Koleksiyonu by browse.metadata.publisher "Taylor & Francis Ltd"