Baluch, K.A. and S.K.H. Bukhari, 2012. Price and income elasticity of imports: The case of Pakistan (No. Id: 4899).
Carporale, G.M. and M.K.F. Chui, 1999. Estimating income and price elasticities of trade in a cointegrating framework. Rev Int Econ, 7(2): 254-264.
Clarida, R.H., 1991. Co-integration, aggregate consumption, and the demand for imports: A structural econometric investigation (No. W 3812). National Bureau of Economic Research.
Fida, B.A., M.M. Khan and M.K. Sohail, 2011. Revisiting aggregate import demand function in Pakistan using ARDL methodology. American Journal of Scientific Research, 33(2011): 5-12.
Fukumoto, M., 2012. Estimation of China's disaggregate import demand functions. China Economic Review, 23(2): 434-444.
Giovannetti, G., 1989. Aggregated imports and expenditure components in Italy: An econometric analysis. Applied Economics, 21(7): 957–971.
Goldstein, M. and M.S. Khan, 1985. Income and price effects in foreign trade. In: R.W. Jones and P.B. Kenen, Editors. Handbook of international economics. New York: Elsevier, 2: 1041–1105.
Kakar, M.K., R. Kakar and W. Khan, 2010. The determinants of Pakistan's trade balance: An ARDL cointegration approach. Lahore Journal of Economics, 15(1): 1-26.
Kalyoncu, H., 2006. An aggregate import demand function for Turkey: A cointegration analysis. Indian Journal of Economics, 343: 1-11.
Moazzami, B. and E. Wong, 1988. Income and price elasticities of China's trade. Asian Economic Review, 1988(30): 218–230.
Pattichis, C.A., 1999. Price and income elasticities of disaggregated import demand: Results from UECMs and an application. Applied Economics, 31(9): 1061-1071.
Pesaran, M.H., Y. Shin and R.J. Smith, 2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3): 289-326.
Rashid, A. and T. Razzaq, 2010. Estimating import-demand function in ARDL framework (No. EERI_RP_2010_15). Brussels: Economics and Econometrics Research Institute EERI.
Rehman, H.U., 2007. An econometric estimation of traditional import demand function for Pakistan. Pakistan Economic and Social Review, 45(2): 245-256.
Reinhart, C.M., 1995. Devaluation, relative prices, and international trade: Evidence from developing countries. Staff Papers-International Monetary Fund, 42(2): 290-312.
Rijal, A., R.K. Koshal and C. Jung, 2000. Determinants of Nepalese imports. Journal of Asian Economics, 11(3): 347-354.
Santos-Paulino, A.U., 2002. The effects of trade liberalization on imports in selected developing countries. World Development, 30(6): 959-974.
Sarmad, K. and R. Mahmood, 1987. Disaggregatedd import demand functions for Pakistan. Pakistan Development Review, 26(1): 71-80.
Senhadji, A., 1998. Time-series estimation of structural import demand equations: A cross-country analysis. Staff Papers-International Monetary Fund, 45(2): 236-268.
Tang, T.C., 2002. An aggregate import demand function for Hong Kong, China: New evidence from bounds test. International Journal of Management, 19(4): 561–567.
Tang, T.C., 2003. An empirical analysis China’s aggregate import demand function. China Economic Review, 14(2): 142-163.
Tang, T.C., 2004. A reassessment of aggregate import demand function in the ASEAN-5: A cointegration analysis. International Trade Journal, 18(3): 239-268.
Tsionas, E.G. and D.K. Christopoulos, 2004. International evidence on import demand. Empirica, 31(1): 43-53.
Xu, X., 2002. The dynamic-optimizing approach to import demand: A structural model. Economics Letters, 74(2): 265-270.
Sulaiman D. Muhammad , Saba Zafar (2016). Determinants of Import Demand Functions of Pakistan: An ARDL Bound Testing Approach. International Journal of Business, Economics and Management, 3(9): 113-121. DOI: 10.18488/journal.62/2016.3.9/220.127.116.11
This study attempts to examine the factors that determine the import demand function of Pakistan using time series data of 1973-2013. Autoregressive Distributed Lag bounds testing approach cointegration is used to determine long run while ECM in ARDL framework to determine short run adjustments. The results showed substantial proof of the existence of a cointegration association at various degrees among variables included in the models.