Hanif, M Nadim and Hyder, Zulfiqar and Lodhi, M Amin Khan and Khan, Mahmood ul Hassan and Batool, Irem (2008): A small-size macroeconometric model for Pakistan economy.
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This paper is part of efforts to develop macroeconometric model for Pakistan (MMP). This paper is an initial attempt to develop a small size macroeconometric model to foresee the effects of monetary policy through forecasting and simulations. We present the basic structure of macroeconometric model for Pakistan. This is a small-size model comprising 17 equations, out of which 11 are behavioral equations while the rest are either identities or definitional equations. OLS method is used to estimate the behavioral equations by using annual data from FY73-FY06. We provide the estimation results and results of policy simulations to quantify the impact of shocks to various exogenous variables.
|Item Type:||MPRA Paper|
|Original Title:||A small-size macroeconometric model for Pakistan economy|
|Keywords:||Macroeconometric Model, Pakistan|
|Subjects:||C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables|
|Depositing User:||Nadim Hanif|
|Date Deposited:||28. May 2010 09:36|
|Last Modified:||14. Feb 2013 05:55|
Brown, T.M. (1952), “Habit persistence and lags in consumer behavior”, Econometrica, Vol. 20, pp 355-371.
Chisti, S., Hasan M. Aynul, and Mahmud Syed F. (1992), “Macroeconometric modeling and Pakistan’s Economy: A vector autoregression approach”, Journal of Development Economics, Vol. 38, pp. 353-370.
Edwards S. and Khan M. (1985), “Interest rate determination in developing countries- A conceptual framework”, IMF Staff Papers, Vol. 32.
Fair, Ray C. (1976), A Model of Macroeconomic Activity, Volume II: The Empirical Model, Ballinger Publishing Company.
__________ (1984), Specification, Estimation, and Analysis of Macroeconometric Models, Harvard University Press.
Hall, Robert E. (1978), "Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence", Journal of Political Economy, pp. 971-87, October.
Harrison, R., Nikolov K., Quinn M., Ramsay G., Scott A., Thomas R. (2000), “The Bank of England Quarterly Model”, www.bankofengland.co.uk
Hyder, Kaleem (2001), “Crowding-out Hypothesis in a Vector Error Correction Framework: A Case Study of Pakistan”, Pakistan Development Review, Vol. 41, No. 4, Part II, pp. 633–650.
Khan, Ashfaque H. (1994), “Financial Liberalization and the Demand for money in Pakistan”, Pakistan Development Review, Vol. 33(4), pp. 997-1010.
Khan, M. A. (2008), “Short-Run Effects of Unanticipated Changes in Monetary Policy: Interpreting Macroeconomic Dynamics in Pakistan,” State Bank of Pakistan Working Paper No. 22
Klein, L.R. (1950), “Econometric Fluctuations in the United States”, Wiley, New York, pp. 1921-1941.
Klein, L.R. and Goldberger A. S. (1955), “An Econometric Model of the United States, 1929-1952”, Amsterdam, North-Holland.
Moinuddin (2007), “Choice of Monetary Policy regime: Should SBP Adopt Inflation Targeting,” SBP Working Paper No. 19.
Naqvi, S. N. Haider and Ahmad A.M. (1986), “Preliminary Revised P.I.D.E. Macro-econometric Model of Pakistan's Economy”, Pakistan Institute of Development Economics.
Naqvi, S. N. Haider, Khan A. H., Khilji N. M. and Ahmad A. M. (1983), “The PIDE Macroeconometric Model of Pakistan's Economy”, Pakistan Institute of Development Economics, Pakistan.
Pasha, H. A., Hasan M. A., Pasha A. G., Ismail Z. H., Rasheed A., Iqbal M. A., Ghaus R., Khan A. R., Ahmed N., Bano N. and Hanif N. (1995), “Integrated Social Policy and Macro-Economic Planning Model for Pakistan”, Social Policy and Development Centre.
Pindyck, S. R. and Rubinfeld L. D. (1997), “Econometric Models and Economic Forecasts”, McGraw-Hill/Irwin, 4th edition.
Qayyum, Abdul (2005), “Modelling the Demand for Money in Pakistan”, Pakistan Development Review, Vol. 44, No. 3.
Sassanpour, Cyrus and Moinuddin (1993), “Experiments with Money Demand Functions for Pakistan,” SBP Bulletin, State Bank of Pakistan, July.
Sims, C.A. (1992), “Interpreting the macroeconomic time series facts,” European Economic Review, Vol. 36, pp. 975-1011.