The determinants of local government performance have long been of interest, and have been empirically investigated in a number of recent studies. A general question in this area is: why have some local governments across the countries achieved high rates of performance whilst the others remained at lower levels? Evidence from the relevant literature indicates that some local governments or municipalities, particularly in developed countries, achieve very good performance. Others, in particular those from underdeveloped or developing, have very little or almost no performance.

This research empirically investigates the budgeting conditions in North Cyprus and evaluate how budgeting conditions vary from one municipality to the other in the five major municipalities; Lefkosa, Magusa, Girne, Guzelyurt and Iskele over the period 2004Q1 to 2012Q4. Two types of methodologies are conducted. First; it empirically investigates the determinants of local government deficit by using cointegration techniques. The Johansen co-integration and The Vector Error Correction model (VECM) are applied to test the effect of each element such as own-source revenue, grants, expenditures and debt services on the budget deficit. Second, the study test the convergence hypothesis if similar regions within the country converge to the same long-run steady state by considering five major Cypriot municipalities in the North Cyprus economy.

The results from the empirical analysis on budget deficit findings show that there is evidence of a long-run relationship between general deficit and its determinants. The evidence of causality is found from expenditure and debt to general deficit for Lefkosa municipality. There is unidirectional causality from grant and revenue through deficit for Magusa municipality. Third empirical analysis on convergence introduced that the municipalities with the lowest number of people per staff, commonly diverge from the group mean.

İnsanların karar verirken her zaman “en iyi”yi aramadıklarını, bazen “iyi”nin de onlar için yeterli olabildiğini, irrasyonel kararlar da verebildiğini belirten “davranışsal ekonomi”, ekonominin temel varsayımı olan “homoekonomikus”u sorgulamaktadır. Beklenti kuramı ile geniş yankı bulan bu çalışma alanı, belirsizlik ve risk altında karar verme durumlarında bireylerin irrasyonel kararlar verebileceğini belirtmektedir. Bu çalışmanın amacı davranışsal ekonomi yaklaşımlarını, tüketici karar verme tarzları ile açıklamaktır. Bu amaç doğrultusunda tüketici karar verme tarzları kullanılarak, davranışsal ekonomi yaklaşımlarında ortaya çıkan sonuçlar açıklanmış, tüketicilerin kararlarındaki sapmalar ve irrasyonellikler karar verme tarzları ile yorumlanmıştır.

Turkey and African countries decade’srelationships provides a concise and wide-ranging introduction to the subject, spanning from the earlier era of the Ottoman Empire, to the Turkish Republic and later, to the Justice and Development Party.

This is an introductory book which provides sources and materials on Turkey and African countries relations. Drawing on history from the Ottoman Empire, to Turkish Republic and the Justice and Development Party, this book provides firsthand information on their relations. Showing how Turkey and African countries that are located on different continents established relationship, it goes on to consider how they support each other at international stages. The book deals, in particular, with political, economic, social and cultural relations between Turkey and African countries; it explorers the challenges they face in military and security terms. This general introductory text benefits students, scholars and researchers eager to gain an insight into Turkey and African countries relations.

Kieran E. Uchehara was formerly a lecturer at Atılım University, Ankara, Turkey. Currently, he is an associate professor in the Department of Political Science and International Relations at Hasan Kalyoncu University, Gaziantep, Turkey.

In this book, we attempt to make a comparative evaluation of modern macroeconomic schools: Monetarism and New Classical School based on the Classical System that envisage automatic full employment or natural rate of unemployment (NRU) equilibrium (AFNE or ANRUE) vs. New Keynesian and Post-Keynesian Economics based on the Keynesian System which gives unemployment equilibrium (UNE) or non-automatic NRU equilibrium (NANRUE) due to insufficiency of aggregate demand.

In order to determine which school is relevant, first the basic assumptions of these systems are compared: i) rational vs. adjusted vs. heterogeneous expectations, ii) existence of perfect competition in all markets leading to flexibility of prices and wages vs. imperfect competition giving rise to rigidities, and iii) presence or lack of coordination between markets.

In the final phase of our evaluations the performance of the developed economies are surveyed to establish whether we meet with AFNE or ANRUE or else UNE or NANRUE; and whether policy prescriptions devised by respective schools solve or alleviate the problem at hand when implemented.

Our investigations point out that New Keynesian and Post-Keynesian schools are more relevant compared to Monetarism and New Classical School. The choice between New Keynesian and Post-Keynesian Economics, however, is more difficult to make although New Keynesian Economics seems more widespread than Post-Keynesian Economics. Objectively, Post-Keynesian assumptions seem more realistic; normatively, however, New Keynesian stands seems more fit to the present day move towards globalization.

Financial time series including high frequency structures like jumps, spikes and stochastic volatility are usually modeled in an ad-hoc manner by stochastic differential equations together with Levy processes. Estimating the parameters and determining the jump size distributions do not have a precise and universally accepted method. Under these circumstances, complexities and confusions usually arise. This book, approaches to this issue from a very different angle through introducing an autocorrelation one process together with finite number of Fourier series terms. Introduction of Fourier series to estimate the dynamics of the process is not done in an ad-hoc manner or as done before in dealing with seasonality. Here the moving average is transformed to a “moving and fluctuating” average by the help of Fourier series. Instead of adding jump structures to the model which makes the parameter estimation quite cumbersome, our model in discrete time can easily be transformed to a well-known mean reverting continuous time process. Moreover, our alternative model turned out to be a quite powerful and accurate forecasting technique.