NYONI, THABANI (2019): Addressing the population question in Mexico: A Box-Jenkins ARIMA approach.
PDF
MPRA_paper_92440.pdf Download (384kB) |
Abstract
Employing annual time series data on total population in Mexico from 1960 to 2017, we model and forecast total population over the next 3 decades using the Box – Jenkins ARIMA technique. Diagnostic tests such as the ADF tests show that Mexico annual total population is I (2). Based on the AIC, the study presents the ARIMA (3, 2, 1) model as the optimal model. The diagnostic tests further reveal that the presented model is stable and that its residuals are stationary. The results of the study show that total population in Mexico will continue to rise in the next three decades and in 2050 Mexico’s total population will be approximately 180 million people. Three policy prescriptions have been proposed for consideration by the government of Mexico.
Item Type: | MPRA Paper |
---|---|
Original Title: | Addressing the population question in Mexico: A Box-Jenkins ARIMA approach |
Language: | English |
Keywords: | Forecasting, Mexico, population |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q56 - Environment and Development ; Environment and Trade ; Sustainability ; Environmental Accounts and Accounting ; Environmental Equity ; Population Growth R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R2 - Household Analysis > R23 - Regional Migration ; Regional Labor Markets ; Population ; Neighborhood Characteristics |
Item ID: | 92440 |
Depositing User: | MR. THABANI NYONI |
Date Deposited: | 02 Mar 2019 06:27 |
Last Modified: | 03 Oct 2019 22:58 |
References: | [1] Asteriou, D. & Hall, S. G. (2007). Applied Econometrics: a modern approach, Revised Edition, Palgrave MacMillan, New York. [2] Ayele, A. W & Zewdie, M. A (2017). Modeling and forecasting Ethiopian human population size and its pattern, International Journal of Social Sciences, Arts and Humanities, 4 (3): 71 – 82. [3] Beg, A. B. M. R. A & Islam, M. R (2016). Forecasting and modeling population growth of Bangladesh, American Journal of Mathematics and Statistics, 6 (4): 190 – 195. [4] Dominic, A., Oluwatoyin, M. A., & Fagbeminiyi, F. F (2016). The determinants of population growth in Nigeria: a co-integration approach, The International Journal of Humanities and Social Studies, 4 (11): 38 – 44. [5] Du Preez, J. & Witt, S. F. (2003). Univariate and multivariate time series forecasting: An application to tourism demand, International Journal of Forecasting, 19: 435 – 451. [6] Goh, C. & Law, R. (2002). Modeling and forecasting tourism demand for arrivals with stochastic non-stationary seasonality and intervention, Tourism Management, 23: 499 – 510. [7] Nyoni, T (2018). Modeling and Forecasting Naira / USD Exchange Rate in Nigeria: a Box – Jenkins ARIMA approach, University of Munich Library – Munich Personal RePEc Archive (MPRA), Paper No. 88622. [8] Nyoni, T (2018). Modeling and Forecasting Inflation in Kenya: Recent Insights from ARIMA and GARCH analysis, Dimorian Review, 5 (6): 16 – 40. [9] Nyoni, T. (2018). Box – Jenkins ARIMA Approach to Predicting net FDI inflows in Zimbabwe, Munich University Library – Munich Personal RePEc Archive (MPRA), Paper No. 87737. [10] Song, H., Witt, S. F. & Jensen, T. C. (2003b). Tourism forecasting: accuracy of alternative econometric models, International Journal of Forecasting, 19: 123 – 141. [11] Tartiyus, E. H., Dauda, T. M., & Peter, A (2015). Impact of population growth on economic growth in Nigeria, IOSR Journal of Humanities and Social Science (IOSR-JHSS), 20 (4): 115 – 123. [12] Todaro, M & Smith, S (2006). Economic Development, 9th Edition, Vrinda Publications, New Delhi. [13] United Nations (2015). World Population Prospects: The 2015 Revision, Key Findings and Advance Tables, Department of Economic and Social Affairs, Population Division, Working Paper No. ESA/P/WP/241. [14] United Nations (2017). World Population Prospects: The 2017 Revision, Key Findings and Advance Tables, Department of Economics and Social Affairs, Population Division, Working Paper No. ESAP/P/WP/248. [15] Zakria, M & Muhammad, F (2009). Forecasting the population of Pakistan using ARIMA models, Pakistan Journal of Agricultural Sciences, 46 (3): 214 – 223. [16] Zuniga, E & Molina, M (2008). Demographic trends in Mexico: The implications for skilled migration, Transatlantic Council on Migration, New York. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/92440 |