Cite as: G. Colombo; 2018; Linking CGE and microsimulation models: A comparison of different approaches; International Journal of Microsimulation; 3(1); 72–91. doi: 10.34196/ijm.00026
Abstract
In the literature that studies income inequality and poverty, a recent development has been the development of models that link together a macroeconomic model (usually a Computable General Equilibrium (CGE) model) and a microsimulation model. Linking the two types of model allows the modeller to take into account full agents’ heterogeneity, whilst at the same time considering the general equilibrium effects of a proposed policy reform. In this paper, I first review in detail three approaches to building linked CGE-microsimulation models: one in accordance with the fully integrated approach, and two following the layered approach (the so-called Top-Down and Top-Down/Bottom-Up approaches). The principal goal of the paper is to present a considered evaluation of the merits and demerits of these alternative methods currently used to link CGE and microsimulation models. To do so I use all three approaches to model the macro- and micro-economic impacts of a policy shock to an archetypical economy (constructed using fictitious data), and compare the results. This analysis highlights the importance of (i) consistency between the underlying macro- and micro-data; and (ii) the precise mechanisms by which feedback effects are passed between the macro and micro models. I develop this latter point further by detailed analysis of the TD/BU approach outlined by Savard (2003), leading to a proposed refinement in the way that feedback effects from the micro level of analysis are incorporated back into the CGE model.
This article contains 2 figures and 21 tables.
Figures
Figure 1. The Top-Down approach.Figure 2. The Top-Down/Bottom-Up approach.
Tables
Table 1. Description of the subscripts for the microsimulation model.
Table 4. Binary logit model of labour status choice.
Coefficient
Std. Error
z
P>|z|
ln(real wage)
0.1972
0.0465
4.25
0.000
sex
−1.8948
0.4078
−4.65
0.000
qualification
1.4408
0.4257
3.38
0.001
region
−0.7185
0.3295
−2.18
0.029
children under 6
0.2691
0.2973
0.91
0.365
education
−0.7633
0.6717
−1.14
0.256
Mean dependent var
0.6647
S.D. dependent var
0.4735
S.E. of regression
0.3767
Akaike info criterion
0.9015
Sum squared resid
23.2688
Schwarz criterion
1.0122
Log likelihood
−70.6305
Hannan-Quinn criter.
0.9464
Avg. log likelihood
−0.4155
Notes: Dependent Variable: Activity Status.
Table 5. SAM of the economy.
C1
C2
S1
S2
K
L
H
G
SI
RoW
Total
C1
57.5
15.5
95.2
61.2
30.3
23.5
283.3
C2
17.1
23.5
312.8
48.5
14.2
76.5
492.5
S1
283.3
283.3
S2
492.5
492.5
K
72.2
23.0
13.1
108.3
L
83.2
353.8
116.4
553.4
H
108.3
553.4
39.8
701.5
G
12.3
17.7
249.0
279.0
SI
44.5
44.5
RoW
41.0
59.0
100.0
Total
283.3
492.5
283.3
492.5
108.3
553.4
701.5
269.9
44.5
100.0
Notes: Cq: consumption of good q; Sq: production sector q; K: capital account; L: labour account; H: representative household account; G: public sector; SI: savings-investments account, RoW: Rest of the World account.
Table 6. Values of some parameters for the CGE model.
Sector 1
Sector 2
Elasticity of substitution (EOS) in production function (aggregation of capital and labour)
0.7
0.5
Elasticity of substitution for Armington composite good
0.7
1.2
Elasticity of transformation for exports and domestic production delivered to the domestic market
−2.0
−3.0
Initial tariff rates on imports
0.3
0.3
Initial time endowment
656.7
Wage elasticity of labour supply (estimated from the household survey)
−0.18665
Table 7. Variables and parameters of the CGE model
Variables
Parameters
PK
Return to capital
ty
Income tax rate
PL
Wage rate
tmq
Tariff rates on imports
Pq
Price of Armington composite good
ε_LS
Wage elasticity of labour supply
PDq
Price of output
mps
Marginal propensity to save
PDDq
Price of domestically produced good delivered to domestic market
αHq
Cobb-Douglas power of commodity q in RH’s utility function
PWEq
World price of exports (foreign currency)
αHl
Cobb-Douglas power of leisure in RH’s utility function
PWMq
World price of imports (foreign currency)
αCGq
Cobb-Douglas power of commodity q in government utility function
PMq
Price of imports (local currency)
αKG
Cobb-Douglas power of capital in government utility function
PEq
Price of exports (local currency)
αLG
Cobb-Douglas power of labour in government utility function
ER
Exchange rate
ioqs
Technical coefficients
PC
Consumer price index
aFq
Efficiency parameter production function
KS
Capital endowment (exogenous)
γFq
Share parameter in production function
LS
Labour supply (endogenous)
σFq
EOS in firm q’s production function
TS
Time endowment (exogenous)
aAq
Efficiency parameter in Armington function
Xq
Domestic sales (Armington composite)
γAq
Share parameter in Armington function
XDq
Domestic production
σAq
EOS in firm q’s Armington function
XDDq
Domestically produced good delivered to domestic market
αIq
Cobb-Douglas power of commodity q in Bank’s utility function
Table 13. SAM of the economy made consistent with the Household Survey.
C1
C2
S1
S2
K
L
H
G
SI
RoW
Total
C1
57.8
15.6
95.4
62.6
28.1
23.6
283.0
C2
17.1
23.5
313.2
48.8
13.6
76.6
492.8
S1
283.3
283.0
S2
492.5
492.8
K
73.4
23.2
13.2
109.8
L
81.7
353.8
117.5
552.6
H
109.8
552.6
38.7
701.2
G
12.3
17.7
250.8
280.8
SI
41.7
41.7
RoW
40.8
59.4
100.2
Total
283.0
492.8
283.0
492.8
109.8
552.6
701.2
280.8
41.7
100.2
Notes: Cq: consumption of good q; Sq: production sector q; K: capital account; L: labour account; H: representative household account; G: public sector; SI: savings-investments account, RoW: Rest of the World account.