Who took part in the project in year 2?

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-Foreign direct investment activities generate employment opportunities and in resulting contribute to improve economic growth. Finally, increased inflation and economic growth correlated inversely in the country.

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REFERENCES

Armstrong,S.A and Read,B.J (2004). Foreign direct investment and growth in Nigeria:

An empirical investment. Journal of Policy Modeling, 26. Pages 627-639

Bahmani-Oskooee and Nasir N.A (2004). Foreign direct investment in Nigeria:

Evidence from time series data CBN Economic and Finantial Review

Banerjee, A..J., Dolado, J., Mestre, R., (1998). Error-Correction Mechanism Tests for Cointegration in Single-Equation Framework. Journal of Time Series Analysis, 19, 267–283

Barro,P.S (1996) Determinant of economic Growth. a cross –country empirical studies Massachusetts institute of technology, U.S.A.

Barro, C.V and Lee,K.S.(1992). Statistics Inference in Regressive with integrated process.Part 1. Econometric Theory, 4 pages 468-497

Bewley, R. (1979). The Direct Estimation of the Equilibrium Response in a Linear Dynamic Model,. Economics Letters, 3: 357-361

Bloom,N.S. and Sachs,K.S. (1998), Macro-economic Policies and Private Investment in Nigeria ‘’, In Rekindling Investment for Economic development in Nigeria by Ben.EAigbokham (ed) Selected Papers for the 1998 Annual Conference, The Nigerian Economic Society.

Boopen, J.J (2007), FDI and Economic Growth: Evidence from Nigeria. African Economic Research Consortiu, Nairobi AERC Research 165: pp. 3-8

Box,G.E.P and Jenkins, G.M. (1976) . Time series analysis: Forecasting and Control Holden Day, San Francisco.

Brown, Durbin,E.S. and Evan,W.N. (1975), Techniques for Testing the Constancy of Regression Relation over Time’.Journal of the Royal Statistical Society Series B. 39. Pp,107-113

Carlos, R. 2001 “Long Memory Properties of Stock

Central Bank of Nigeria Report and Statement of Accounts, CBN

Central Bank of Nigeria (CBN) (2010), Statistical Bulletin, CBN Publication, Garki, Chaudhary, B.S (2002). Modeling the volatility of currency exchange rate using

GARCH model.Pertanika J. Soc. Sci. Hum., 10 (2): 85-95.

Chaudhary, B.S (2007). Effectiveness of Foreign Exchange Intervention: Evidence from Pakistan. SBP Res. Bull. 3(2). International Journal of Forecasting, 3(1):

159 - 70. Jamaica. Bank of Jamaica.159–78

Clement, J.J (2003), ‘’Does Financial Liberalization reduce Financing Constraints?’’

Financial Management spring 2003;5-35.

67

Dayton,P.P.(2003). Model Comparisons Using Information Measures.Journal of modern Applied Statistical methods. 2(2): 281-292.

Dickey, D.A and Fuller, W.A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74:

427–431.

Dollar,E.S and kray,D.T (2002a), Are Forecasting Models Usable for policy analysis ?’’

Federal Reserve Bank of Minneapolis quarterly Winter . 10-1, pages 2-16.

Easterly,J.S. (1999), ‘’policy Analysis with Economic Model ‘’.Brooking papers on Economic Activity. 1, pages 1-52

Easterly,J.S and Levine (2003) .Applied Time series Modeling and Forecasting. John Willey and Sons Ltd, West Susses,England

Edison,W.S (2002). Do foreign direct investment and gross domestic investment promote economic growth?, Review of Development Economics, 7, 44-57 Edwin,K.S and Shajehan,J.J (2001). Causality Tests for Cross-Countries Panels:A New

Look on FDI and Economic Growth in Developing Country. Oxford Bulletin of Economic and Statistics, 63: pp.153-171

Engle, R.F and Granger, C.W.J (1987). Co-integration and error correction Representation, estimation and testing .Econometrica 55: pp. 251-257

Faini, j.S.(2002). Time Series Analysis. Princeton University , Press 1994, chapter 19 Fajnzylber, W.S (2002).‘’ policy Analysis with Econometric Models’’. Brooking

papers on Econometric Activity. 1, pages 1-15.

Fischer, K and power, D. (1993) Cointegrated erro correction and the econometric analysis of non-stationary data.Oxport University P, Oxport

.Ghatak,K.K and Siddiki.A.S (2001). Monetary Policy Framework in Africa: The Nigerian Experience. Central Bank of Nigeria, Garki, Abuja.

Greene,W.N (1993). Private Investment in Developing Country: An Empirical Analysis.

IMF Staff Papers 38, (2), pp, 33-35

Grilli,N.S. and Milesi-Ferretli, J (1995).Financial Development and Economic Growth World Devepment. 3 pp. 443-448

Granger,G.S and New bold,G (1974). Spurious regression in econometrics journal of econometrics:, pp 111-120

Gujerati,B.S (2003) . Basic Economic fourth edition ,McGraw-hill companies India pp.

208-812

68

Harris,A.H. and Sollis,N.S. (2003). Applied Time series Modeling and Forecasting.

John Willey and Sons Ltd .West Sussex, England.

Hauskrecht,S.A.(2005). A study on Thai exchange rate volatility model comparison:

nonparametric approach. Faculty of Economics.Thammasat University

Hamadu,Dallah and Adeleke,Ismaila (2009), On Modelling the Nigerian Currency naira) Exchange Rates against Major Regional and World Currencies, NUST Journal OF Business and Economics. 2(1): 2009, 42-52.

Hamadu, Dallah and Ibiwoye, Ade (2010), Modelling and Forecasting the Volatility of the Daily Returns of Nigerian Insurance Stocks, International Business Research. 3(2): 2010, 106-116.

Hasan,D.K and Butti,D.E (2008). The Impact of Foreign Private investment (FPI) on Capital Formation in Nigeria 1980-2004 (An unpublished Ph.D Thesis) Covenant University Ota-Ogun State, Nigeria

Inder, B. (1993), “Estimating Long-Run Relationships in Economics, A Comparison of Different Approaches”, Journal of Econometrics, 57: 53-68.

Islam,M.J and Wetzel,G.T (1999) Foreign direct investment-ledgrowth : Evidence from time series and panel data. Oxford Economic Papers, 51: pp. 133-151

Johansen,S (1990).MaximunLikelihood estimation and inference on Cointegretion-with application to the demand for Money. Oxfort Bulletin of Economic and Statistics 52, 169-210

Johansen, S and juselius, K. (1990).MaximunLikelihood estimation and Inference on Cointegration-with Application to the demand for money .Oxfort Bulletin of Economics and Statistics 52, 169-210.

Klein,N.N (2003). Forecasting Volatility in Financial Markets: A Review. J. Econ. Lit.

41: 478-539.

Krishna, G and wolter, j. (2004).Basic Econometric Fourth edition McGraw-hill companies India pp.808-812

Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. and Shin, Y. (1992). Testing the Null of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Annual Have a Unit Root?‘, Journal of Econometrics, 54, 159–78

Kwiatkowski,D (1991).Introduction to Multivariate Time series Analysis, Berlin Springer-Verag.

Levine,H.A and Zervos,K.S (1998) Prediction of Multivariate Time Series by Autorregressive Model Fitting journal of Multivariate Analysis 16: 393-411 Levine,R.T and Renelt, D.S (1992).‘A sensitivity analysis of cross-country growth

regressions’ American Economic Review, 82, 942-963.

69

Lopez,K.S and Olmedo,M.M.(2005), Modelling Exchange rates using Wavelet Decompsed Genetic Neural Networks, Journal of Statistical Methodology. 3(2):

104-124.

Lucas,B.A (1988), Statistics Inference in Regressive with intergrated with process. Part 1. Econometric Theory, 4, pages 468-497.

Maddala, V.N (2001) . Unit root Cointegration and Structural change.john Willey and Sons Lt

Masters,A.M and Mc-Millan,M.J (2001).Testing for the Cointegrating rank of a VAR process with Intercept, Econometric Theory.Volume 16. Pages 373-406

Mohsen. D.F (2002) Modelling of Australian Bilateral Exchange Rate Data Applied Financial Economics. 7: 147 - 164.

Osakwe, J..O. (1983). “Government Expenditure, Money supply and Prices (1970-1980)”

Osuntogun, J.W (1997). Working with Micro-fit 4.0: Interactive Econometric Analysis.Oxport University Press: Oxport

Pahlavani, H.A (2005) Testing for unit root in Time Series Regression Biometrica 75:

335-346.

Patenio, P and Tan-curz, J.S (2007). FDI and Economic Growth: Evidence from Nigeria, African Economic Research Consortium, Nairobi AERC Research 165:

pp, 3-9

Phillips,A.M and Perron,K.N. (1988).Forecasting Volatility in Financial Markets: A Review. J. Econ. Lit. 41: 478-539..

Pesaran M.S and Smith R.Z (1995). Estimating long-run relationships from dynamic heterogeneous panels‘, Journal of Econometrics, Vol. 68, pp.79–113..

Pesaran,W.H. (2001). Bounds Testing Approaches to the Analysis of Long runRelationships‘ Journal of Applied Econometrics,16: 289- 326

Pesaran,M.H and Pesaran,W.H.(1997). Working with Micro-fit 4.0 :Interactive Economic Analysis . Oxfort University Press: Oxfort.

.Pesaran, M. H., Shin, Y. and Smith, R.J. (2001). ‘Bounds Testing Approaches to the analysis of Long Run Relationships’, Journal of Applied Econometrics, 16. 289-326.

Pesaram, M.H and Shin, Y (1999).Working with Micro fit 4.0: Interactive Economic Analysis.Oxfort University Press: Oxfort

Pesaran, M.H. and Smith, R.S.(1998). Estimating the dimension of a model. The Annals of Statistics 6: pp.461-464