By Mohammad Altaf‐Ul‐Alam, PhD Deputy Secretary Macroeconomic Wing Finance Division, Ministry of Finance
By Mohammad Altaf Ul Alam, PhD Deputy Secretary Macroeconomic Wing - - PowerPoint PPT Presentation
By Mohammad Altaf Ul Alam, PhD Deputy Secretary Macroeconomic Wing - - PowerPoint PPT Presentation
By Mohammad Altaf Ul Alam, PhD Deputy Secretary Macroeconomic Wing Finance Division, Ministry of Finance Outline Institutional Framework for Macroeconomic Modelling Current Modelling/Forecasting framework Recent Forecasting
Outline
Institutional Framework for Macroeconomic
Modelling
Current Modelling/Forecasting framework Recent Forecasting Experiences Challenges and Difficulties faced by Policy Makers Advanced macroeconomic modelling initiative Comments
Institutional Framework
By law, at least two meetings are held generally in
every fiscal year presided over by the Minister, Ministry of Finance.
Meeting is called ‘Coordination Council Meeting’
attended by Commerce Minister and around 10 secretaries of the ministries related to economics, finance and commerce.
Institutional Framework (Con’t)
World economic situation, real sector, fiscal sector, monetary sector and external sector are discussed thoroughly in the meeting.
- Macroeconomic wing prepares the primary
forecasting scenario, then basically value judgemental and technical issues are addressed in the meeting and forecast of macroeconomic variables are finalized.
- A mid‐term (3 year) forecasting is finalized. Every
six months in the next meeting forecast are revisited and if necessary revised.
Bangladesh GDP Movement
Current Model
- Objective of the model is to do macroeconomic
analysis and forecasting.
- It is an excel based analysis, the model was
primarily taken from IMF then customized with the country perspective.
- Model includes four basic sectors of the economy
and their interlinkages. These are real, fiscal, monetary and external sectors.
Current Model
Indicator Actual Actual Budget Projection Projection Projection
2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 Bill Tk. Bill Tk. Bill Tk. Bill Tk. Bill Tk. Bill Tk. Nominal GDP (bn Taka) 13437 15136 17167 19500 22147 25186 Nominal Growth (%) 12.1 12.6 13.4 13.6 13.6 13.7 Nominal GDP (bn Dollar) 172.9 195.0 220.3 243.7 276.8 314.8 Nominal GNI (bn Dollar) 184.4 207.5 235.8 260.1 295.5 336.3 Net factor income (bn Dollar) 11.5 12.5 15.5 16.4 18.6 21.5 Real GDP Growth (%) 6.06 6.51 7.0 7.2 7.4 7.6 Deflator (% change) 5.7 5.8 6.1 6.1 5.9 5.9 Inflation (%) 7.4 6.5 6.2 6.0 5.8 5.7 Percapita GNI ( USD) 1184 1314 1474 1604 1798 2020
Procedure (1)
There are 15 sectors in the economy to calculate GDP. Sectoral growth we put exogenously taking trend or
moving average or sometime considering value judgment.
GDP deflator 2016 = Actual GDP deflator
2015*(1+Forecasted growth of deflator in 2016 i.e. Inflation)
Real GDP 2016= Actual Real GDP 2015*(1+Forecasted
GDP growth rates)
Nominal GDP 2016= Real GDP 2016* deflator 2016 GDP growth rate are forecasted based on trend
analysis and value judgement
Procedure (2)
Basically using some simple procedure we put values of
exogenous variables in the model.
Fiscal expenditures are like policy variables so we put
exogenously.
For revenue income we have assumptions on different
tax/GDP ratios basicaly based on elasticities.
Lot of such procedures we follow for other variables.
Recent Initiative
We are now trying to develop a macroeconometric
forecasting model.
It is based on econometric analysis Calculations are done in Eviews At present the model is very simple model. We shall
extend it further.
Data and Methodology
Data range is 1981 to 2014 Data are low frequency data ‐ annual. Data sources are Bangladesh Bureau of Statistics,
Ministry of Finance and Bangladesh Bank.
At present it is a macroeconometric model (Error
Correction Model).
Only demand side equations are considered in the
model due to data unavailability of supply side variables.
Model Equations
dum yd con pc
t t
log log
Short‐run equation ) 1 ( _ log log pc ecm dum yd d con pc d
t t
Private Consumption Long‐run equation Private Investment
t t t
tradeopen pinv con pinv log log log
1
Long‐run equation Short‐run equation
1 1
_ log log log
t t t t
pinv ecm tradeopen pinv d con pinv d
Model Equations (2)
Exports Long‐run equation dum price worldGDP con
t t t
exp exp log Short‐run equation
1
exp _ exp log exp log
t t t t
ecm dum price worldGDP d con d Import Long‐run equation
t t t
imp price GNI con imp _ log log Short‐run equation
1
_ _ log log log
t t t
imp ecm imp price d GNI d con imp d
Model Equation(3)
Identity
t t t t t t t t
y discrepanc imp inv pub con pub pinv pc GDP exp _ _ Endogenous Variables
GDP, Private Consumption, Private Investment, Export and Import
Exogenous Variables
All other variables in those equations Then model is solved in E‐views with dynamic solution. The model shows different growth rates than our Medium term outlook. It is respectively 6.7, 7.2 ,6.7 and 7.2 percent in 2016, 2017,2018 and 2019.
Comments
Forecasting process is not yet highly technical. We need a better model for the management of
macroeconomic and financial indicators.
Sustainable development goals are not yet integrated
in our macroeconometric forecasting model.
In fact we came here to learn that.