Türkiye’de bölgesel gelir eşitsizliği (Regional income inequality in Turkey)

Bu araştırmada Türkiye İstatistik Kurumu’nun 1994 ve 2003 Hanehalkı Gelir ve Tüketim Harcamları Anketleri’nin verileri kullanılarak Türkiye’deki gelir eşitsizliğinin yapısı bölgesel bir perspektifle keşfedilmeye çalışılmıştır. Bölgeler düzeyinde, satın alma gücü paritesi, enflasyon, ve eşdeğerlik ölçeği düzeltmeleri yapılmış gelirler için ortalama, ortanca, standart sapma ve Gini katsayıları hesaplanmıştır. Türkiye’de farklı gelir dilimlerine mensup olan nüfusun bölgeler arasında nasıl bir dağılımı olduğu incelenmiştir. Hanelerin gelirleri altı ana gelir türüne ayrıştırılarak bölgelerdeki payları, ve bölgelerin Türkiye geneline olan katkıları sunulmuş, 1994-2003 zaman diliminde diğer ekonomik parametrelerin değişimi ile nasıl bir etkileşim içinde oldukları tartışılmıştır. Eşitsizliğin bölge içi ve bölgeler arası belirleyicilerini anlamak için varyans ayrıştırma analizi ve Pyatt eşitsizlik ayrıştırma analizi gerçekleştirilmiştir

Essays on Building Growth From Ideas

In my dissertation, I study the interplay between innovation and economic growth with an emphasis on the misallocation of ideas and talent. The first chapter focuses on the allocation of the innovations themselves, considering the optimal allocation of ideas across firms, and how it can be achieved via a market for ideas. This is done by first creating an operational measure of technological propinquity between firms and inventions. Using this empirical measure, new stylized facts are documented which suggest that ideas may indeed be initially misallocated across firms, but the market for patents can alleviate the initial misallocation. A quantitative model is built to perform some thought experiments which suggest that the economic growth rate can be increased by reducing the frictions in this market. The second chapter investigates why some organizations and societies are more prolific than others in coming up with radical, path-breaking innovations, and marshals evidence showing that the cause might be the openness to disruption in their culture. In order to investigate this hypothesis, it is posited that firms and societies that are more open to disruption would allow the young to rise faster in the hierarchy. This theory allows one to use the age of the top management in organizations as a proxy for the intangible concept. It is documented that many measures of radical innovations are positively correlated with openness to disruption as captured by manager age. The third chapter analyzes the link between the misallocation of talent and innovation, asking the question whether the talented people in the society are given the chance to create new innovations that enhance social welfare. This is investigated empirically using a novel approach that utilizes the power of surnames in capturing socioeconomic status persistence across time. The results show that the social allocation favors the wealthy over the talented in determining who become inventors. The rest of the chapter develops a quantitative model of allocation of talent that can replicate the observed correlation patterns, and shows that progressive bequest taxation can reduce this misallocation

On Hadamard Type Integral Inequalities for nonconvex Functions

In this paper, we extend some estimates of the right and left hand side of a Hermite-Hadamard type inequality for nonconvex functions whose derivatives absolute values are \Phi-convex and quasi-\Phi-convex was introduced by Noor in Noor1.Comment: Mathematical Sciences And Applications E-Notes, in press. arXiv admin note: substantial text overlap with arXiv:1204.0923; and overlap with arXiv:1205.6657 by other author

Market and Project Selection Decisions of Construction Companies: Evidence from Turkish Contractors

Globalization of the world economy has made borders between the countries lessimportant and thereby brought about unified markets. Construction industry is not differentfrom other industries when it comes to the globalization and unification of markets. Enteringinto new markets and undertaking international projects promise several benefits such asincrease in the business volume, profits, market share, etc. Turkish contractors have also beenactively operating in international markets since the 1970s. They have completed more than5,100 projects with a total value of USD 155 billion in 81 different countries until now.Undoubtedly, this success is highly subject to the extent to which they make sound decisionson market and project selection. This study aims to investigate the main attributes that mayaffect Turkish contractors' decisions on market and project selection. Review of the literature indicated that there are 57 attributes that may likely affect market and project selection decisions of contractors. These attributes were categorized into 4 main groups, namely;contractor-related attributes, country-related attributes, project-related attributes, and owner related attributes. A questionnaire consisting of 62 questions was designed and conducted among 71 Turkish contractors in order to identify the most contributing attributes. Reliability analysis was carried out to test the internal consistency of the questionnaire and factor analysis was conducted to identify the most contributing factors. Reliability analysis resultsindicated that seven attributes should be deleted to increase the internal consistency of thequestionnaire and factor analysis results revealed that the remaining 50 attributes could be described by 11 factors

Tribonacci numbers with indices in arithmetic progression and their sums

WOS: 000328081500012In this paper, we give a recurrence relation for the Tribonacci numbers with indices in aritmetics progression, {Trn+s} for 0 <= s < n We find sums of {T-rn} g for arbitrary integer r via matrix methods

Inter-numerology interference pre-equalization for 5G mixed-numerology communications

This article proposes a pre-equalization method to remove inter-numerology interference (INI) that occurs in multi-numerology OFDM frame structures of fifth-generation New Radio (5G-NR) and beyond, on the transmitter side. In the literature, guard bands, filters, and interference cancellation methods are used to reduce the INI. In this work, we mathematically model how the INI is generated and show how it can be removed completely for multi-numerology systems by deploying a pre-equalization matrix on the transmitter side. With this pre-equalization method, the need for guard bands and filters is eliminated and spectral efficiency is improved.IEEE; Nokia; Huawei; Samsung; Technology Innovation Institute; Pix Movin

Modelling rainfall-runoff relation using different artificial neural network methods

Eldeki hidrometeorolojik verilerin yardımı ile nehir akımı tahmininin yapılması su kaynakları projelendirme &ccedil;alışmaları a&ccedil;ısından &ouml;nem taşımaktadır. Bu &ccedil;alışmada, su kaynakları uygulamalarında sık&ccedil;a kullanılan ileri beslemeli geriye yayınım metodu (İBGY) ile son zamanlarda uygulanmaya başlanan genelleştirilmiş regresyon sinir ağı (GRSA) y&ouml;ntemi bu problem i&ccedil;in uygulanmış ve sonu&ccedil;lar se&ccedil;ilen performans kriterleri&nbsp; cinsinden karşılaştırılmıştır. GRSA metodu ile İBGY&rsquo;nin yerel minimum sorunu &ccedil;&ouml;z&uuml;lmekte ve tek sim&uuml;lasyonla değişmeyen bir sonu&ccedil; elde edilmektedir. İBGY ile ise her farklı yapay sinir ağı mimarisi i&ccedil;in en iyi sonucu elde edene kadar &ccedil;ok sayıda sim&uuml;lasyon yapılmaktadır. En iyi İBGY simulasyonu gerek GRSA gerekse klasik istatistik ve stokastik model tahminlerinden daha iyi sonu&ccedil;lar vermiştir. Anahtar Kelimeler: Akım tahmini, genelleştirilmiş regresyon sinir ağı, ileri beslemeli geriye yayınım metodu.In this study daily mean river flow estimations based on the antecedent rainfall and/or river flow values are carried out using two different ANN algorithms. Estimations obtained by the conventional feed forward back propagation (FFBP) and the new generalized regression neural network (GRNN) methods using different network architectures are compared with conventional statistical and stochastic model results. GRNN is used for estimation of continuous variables, as in standard regression techniques. Generalized regression neural network does not require an iterative training procedure as in back propagation method. In the applications presented in this study the daily hydro meteorologic data belonging to Juniata River Basin in Pennslyvania state of USA are employed. The FFBP results are found to be superior to GRNN and conventional methods. However it was shown that FFBP method performances are very sensitive to the randomly assigned initial weight values. This problem, however, was not faced in GRNN simulations. The local minima problem in feed forward back propagation algorithm applications was not faced in GRNN simulations. In the study it was also seen that the analysis of the cross-correlations and autocorrelations provide useful information about the input node number of the ANN network. Keywords: Flow estimation, generalized regression neural network, feed forward back propagation method