Please use this identifier to cite or link to this item: http://hdl.handle.net/11547/8920
Title: TIME SERIES ANALYSIS: A CASE STUDY ON FORECASTING TURKEY’S INFLATION AND UNEMPLOYMENT
Authors: ALI, BARKAT
Keywords: Unemployment
Inflation
Phillips curve
Autoregressive time series
model
Issue Date: 2015
Abstract: Economic strategies and policies of a country is the most important factor of complete employment and secure economy throughout low inflation. This case study focused on unemployment and inflation for a particular period from 2000 to 2014. Statistical data for the period 2000 to 2014 was collected from a Turkish statistical institute website. The first intention of this research is to forecast inflation and unemployment for 2015 and 2016. Inflation and unemployment has forecasted by autoregressive model as a time series method. The second intention of this research is to determine the relationship between unemployment and inflation in Turkey for the period 2000 to 2014, through Phillips curve, which is conducted in 2014 and the simple linear regression analysis were used. The result shows that unemployment negatively effects inflation in Turkey economy and it was seen that there was a statistically significant relationship between inflation and unemployment.
URI: http://hdl.handle.net/11547/8920
Appears in Collections:Tezler -- Thesis

Files in This Item:
File Description SizeFormat 
10063742.pdf1.59 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.