Testing for non-linearity in labour markets: The case of Germany and the UK

Journal of Policy Modeling

Volumn 25, Issue 3, 2003, Pages 275-286

  Panagiotidis, Theodore ^a   Pelloni, Gianluigi ^b,c  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF PISA   (Italy)

^c RYERSON UNIVERSITY   (Canada)

Author keywords

Non linearity; Sectoral shares; Unemployment rate

Indexed keywords

EID: 0038330466     PISSN: 01618938     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0161-8938(03)00024-3     Document Type: Article

References (18)

1. Bollerslev T.Generalized autoregressive conditional heteroscedasticity Journal of Econometrics 31 1986 307-327
2. Brock W.Sayers C.Is the business cycle characterised by deterministic chaos? Journal of Monetary Economics 22 1988 71-90
3. Brock W.A.Dechert W.Scheinkman J.A test for independence based on the correlation dimension Econometrics Reviews 15 1996 197-235
4. Brock, W. A., Hsieh, D. A., & LeBaron, B. (1991). Non-linear dynamics, chaos, and instability. Cambridge, Massachusetts: MIT Press.
5. Campbell J.R.Kuttner K.N.Macroeconomic effects of employment reallocation Carnegie-Rochester Conference Series on Public Policy 44 1996 87-116
6. Clements M.P.Krolzig H.-M.A comparison of the forecast performance of Markov-switching and threshold autoregressive models of US GNP Econometrics Journal 1 1998 C47-C75
7. Engle R.F.Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation Econometrica 50 1982 987-1007
8. AFrank M.Z.Stengos T.Some evidence concerning macroeconomic chaos Journal of Monetary Economics 22 1988 423-438
9. Granger, C. W. J., & Terasvirta, T. (1993). Modelling non-linear economic relationships. Oxford: Oxford University Press.
10. Hinich, M., & Patterson, D. M. (1995). Detecting epochs of transient dependence in White noise. Unpublished manuscript, University of Texas at Austin.
11. Judge, G., Griffiths, W., Hill, C., Lutkepohl, H. L., & Lee, T.C. (1985). The theory and practice of econometrics. New York: Wiley.
12. McLeod A.I.Li W.K.Diagnostic checking ARMA time series models using squared-residual autocorrelations Journal of Time Series Analysis 4 1983 269-273
13. Panagiotidis T., & Pelloni, G. (2001). Is non-linear dependence present in the US unemployment rate and the growth rates of employment sectoral shares? (Working Paper 13). School of Economics, Free University of Bolzano.
14. Patterson, D. M., & Ashley, R. A. (2000). A non-linear time series workshop, London: Kluwer Academic Publishers.
15. Pelloni, G., & Polasek, W. (1999). A Bayesian VAR-GARCH analysis of sectoral labour reallocation. (Discussion Paper no. 99/4). UK: University of York.
16. Pelloni G.Polasek W.Macroeconomic affects of sectoral shares in US, UK and Germany: A BVAR-GARCH-M approach Computational Economics 21 2003 65-85
17. Tsay R.S.Non-linearity tests for time series Biometrica 73 1986 461-466
18. Avan Dijk D.Franses P.H.Paap R.A non-linear long memory model for the US unemployment Journal of Econometrics 102 2002 135-165