A Pragmatic Model for Monetary Policy Analysis I: The Case of Pakistan
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Cited by:
- Aadil Nakhoda, 2014.
"The Influence of Industry Financial Composition on the Exports from Pakistan,"
SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 10, pages 21-49.
- Aadil Nakhoda, 2014. "The Influence of Industry Financial Composition on the Exports from Pakistan," SBP Working Paper Series 67, State Bank of Pakistan, Research Department.
- Aadil Nakhoda, 2015. "The Influence of Industry Financial Composition on the Exports from Pakistan," Working Papers id:7656, eSocialSciences.
- Fayyaz Hussain & Zafar Hayat, 2016. "Do Inflation Expectations Matter for Inflation Forecastability: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(3), pages 211-225.
- Nyoni, Thabani, 2018. "Modeling and Forecasting Inflation in Zimbabwe: a Generalized Autoregressive Conditionally Heteroskedastic (GARCH) approach," MPRA Paper 88132, University Library of Munich, Germany.
- Naafey Sardar & Zulfiqar Hyder, 2022. "Does the source of the oil price shock matter for inflation in Pakistan: Implications for monetary policy," SBP Working Paper Series 110, State Bank of Pakistan, Research Department.
- Shahzad Ahmad & Adnan Haider, 2019. "An evaluation of the forecast performance of DSGE and VAR Models: The case of a developing country," Business Review, School of Economics and Social Sciences, IBA Karachi, vol. 14(1), pages 28-52, January-J.
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More about this item
Keywords
Monetary policy; DSGE model; Pakistan;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- D5 - Microeconomics - - General Equilibrium and Disequilibrium
- E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
Statistics
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