Regression Discontinuity Design (RDD) is developed as an alternative to ex-post facto experiments. It is an approach causally estimating treatment effects in non-experimental designs. The Regression Discontinuity Methodology ...

Most of the Value-at-Risk models assume that financial returns are normally distributed, despite the fact that they are commonly known to be left skewed, fat-tailed and excess kurtosis. Forecasting Value-at-Risk with ...

Ranked set sampling methods are used when it is costly or difficult to measure the sampling units precisely with respect to the variable of interest and also when these units can be more easily ranked with respect to the ...

Regression discontinuity is a quasi-experimental impact evaluation method of assessment which is used in cases where control and effect groups can not be generated before the implementation of the program. In this method, ...

In this study, we investigated estimators with exponential functions for estimation of mean estimator in simple and stratified random samplings. Family of estimators based on the exponential function is proposed for both ...

The survival analysis is a statistical research method dealed with the dur ati on of a unit from the beginni ng of observation until the interested event takes place. Survival analysis which is used ...

In today’ s conditions, increasing the need for such as assessing, analyzing and making forward estimates of data, has increased the demand for data mining methods. In this study, classification and regression estimating ...

The purpose of this thesis is threefold. Firstly, to analyze the characteristics of labor force’s structure, secondly, to compose unemployed profile and examine whether there is a change in the unemployed profile over ...

Panel data is the intersection of time series and cross-section data. The panel data defines change between units or the change in time for each unit, explains these variabilities by some other variables and estimates each ...