Estimating the New Keynesian Model by Bootstrap Method for Johor Economy Tourism
- 1 School of Informatics and Applied Mathematics, University of Malaysia, Terengganu, Malaysia
- 2 School of Informatics and Applied Mathematics, University of Malaysia, Terengganu, Malaysia
- 3 School of Informatics and Applied Mathematics, University of Malaysia, Terengganu, Malaysia
- 4 School of Informatics and Applied Mathematics, University of Malaysia, Terengganu, Malaysia
Abstract
The use of Keynesian Model (KM) is exposed to large error value as well as wide confidence intervals, which may affect the accuracy of the results. Therefore, this paper attempts to hybridize bootstrap approach with Keynesian Model to obtain accurate estimation results which are known as the Bootstrap Keynesian Model (BKM). The proposed model is applied to the data of Johor Economic Tourism. The findings indicate that the Bootstrap Keynesian Model is the best model compared to the Keynesian Model since the error produced using the Bootstrap Keynesian Model is smaller and the confidence intervals are shorter. This shows that the proposed model is best to use in the measurement of multiplier. It can be concluded that the application of MK with bootstrap method is very useful to provide more accurate decisions. Therefore, the multipliers obtained may provide useful information for policy makers and researchers in the field of tourism.
- Hampton, M.P. (2005) Heritage, Local Communities and Economic Development. Annals of Tourism Research, 32, 735-759. http://dx.doi.org/10.1016/j.annals.2004.10.010
- Marcelo, R. and Anja, E. (2011) Prime Minister of Malaysia: Tourism Key to Country’s Economic Transformation. http://media.unwto.org/press-release/2011-10-19/prime-minister-malaysia-tourism-key-country-s-economic-transformation
- Rochelle, T. (2015) Travel and Tourism Economic Impact 2015 Malaysia. World Travel and Tourism Council.
- Kerajaan Negeri Johor Darul Ta’zim (2012) Iskandar Malaysia. http://www.johor.gov.my/en/pelaburan/page/iskandar_malaysia
- Keshab, R.B. (2005) Keynesian Models for Analysis of Macroeconomic Policy. University of Hull, UK.
- Martín, H.R. (2004) Impact of Tourism Consumption on GDP. The Role of Imports.
- Nur Amanina, Z. (2012) Pemodelan Generalized Autoregressive Conditional Heteroskedasticity (GARCH) dengan Pendekatan Kaedah Bootstrap: Kajian Kes Terhadap Data Sukuk. Msc tesis, Jabatan Metematik, Universiti Malaysia Terengganu.
- Loutfi, M., Moscardini, A.O. and Lawler, K. (2000) Using System Dynamics to Analyse the Economic Impact of Tourism Multipliers. Proceedings of the 18th International Conference of the System Dynamics Society, Albany, August 2000, 132-232.
- Archer, B.H. (1976) Anatomy of a Multiplier. Regional Studies, 10, 71-77. http://dx.doi.org/10.1080/09595237600185071
- Candela, G. and Figini, P. (2012) The Economics of Tourism Destinations. Springer, Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-642-20874-4
- Pascual, L., Romo, J. and Ruiz, E. (2006) Bootstrap Prediction for Returns and Volatility in GARCH Models. Computational Statistic and Data Analysis, 50, 2293-2312. http://dx.doi.org/10.1016/j.csda.2004.12.008
- Sousa, S.I.V., Martins, F.G., Alvim-Ferraz, M.C.M. and Pereira, M.C. (2007) Multiple Linear Regression and Artificial Neural Networks Based on Principal Components to Predict Ozone Concentrations. Environmental Modelling & Software, 22, 97-103. http://dx.doi.org/10.1016/j.envsoft.2005.12.002
- Khan, H., Seng, C.F. and Cheong, W.K. (1990) Tourism Multiplier Effects on Singapore. Annals of Tourism Research, 17, 408-418. http://dx.doi.org/10.1016/0160-7383(90)90006-D
- Chase, G.L. and McKee, D.L. (2003) The Economic Impact of Cruise Tourism on Jamaica. Journal of Tourism Studies, 14, 16-22.