DocumentCode :
3409410
Title :
A Grey-Markov predication for unemployment rate of graduates in China
Author :
Li, Xianyin ; Chen, WanMing
Author_Institution :
Coll. of Econ.&Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2009
fDate :
10-12 Nov. 2009
Firstpage :
619
Lastpage :
624
Abstract :
Influenced by a number of uncertain factors, Unemployment rate of college graduates has characteristics of stochastic nature and fluctuations. Single gray GM (1,1)model could not fit these data better, and its forecasting accuracy is lower. However, Markov forecast can make up for this deficiency. Drawing on the virtue of gray model and Markov forecasting model, this paper presents a grey-Markov forecasting model for forecasting unemployment rate of graduates in China. This method takes into account the general trend series and random fluctuations about this trend. It has the merits of both simplicity of application and high forecasting precision. This paper is on basis of historical data of the unemployment rate of graduates in China, and forecasts and analyzes the unemployment rate of graduates in China in terms of grey-Markov forecasting model.
Keywords :
Markov processes; forecasting theory; grey systems; unemployment; China; graduates; gray model; grey-Markov forecasting model; grey-Markov predication; stochastic nature; unemployment rate forecasting; Demand forecasting; Economic forecasting; Educational institutions; Employment; Fluctuations; Helium; Intelligent systems; Macroeconomics; Predictive models; Unemployment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
Type :
conf
DOI :
10.1109/GSIS.2009.5408238
Filename :
5408238
Link To Document :
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