Parameter |
Notation |
Prior distribution |
NK Model |
Posterior distribution^ | |||
Density |
Mean |
S.D/df |
NK Model with FA |
2-sector NK Model | |||
Risk aversion |
σ |
Normal |
2.00 |
0.50 |
2.14 [1.40:2.92] |
1.62 [0.74:2.43] |
1.99 [1.33:2.69] |
Calvo prices (F)z |
ξF |
Beta |
0.75 |
0.15 |
0.57 [0.45:0.69] |
0.39 [0.26:0.51] |
0.75 [0.57:0.95] |
Calvo prices (I) |
ξI |
Beta |
0.75 |
0.15 |
- |
- |
0.30 [0.15:0.43] |
Labour share (F) |
αF |
Beta |
0.60 |
0.10 |
- |
- |
0.68 [0.60:0.76] |
Labour share (I) |
α∕αι |
Beta |
0.80 |
0.10 |
0.62 [0.47:0.76] |
0.78 [0.69:0.88] |
0.74 [0.61:0.87] |
Preference parameter |
% |
Beta |
0.50 |
0.20 |
0.40 [0.22:0.58] |
0.25 [0.12:0.37] |
0.22 [0.10:0.31] |
Substitution elasticity (varieties, F) |
ζF |
Normal |
7.00 |
0.50 |
7.01 [6.17:7.79] |
6.96 [6.12:7.75] |
7.02 [6.21:7.81] |
Substitution elasticity (varieties, I) |
ζI |
Normal |
7.00 |
0.50 |
- |
- |
7.00 [6.17:7.82] |
Substitution Elasticity (F/I goods) |
μ |
Normal |
1.50 |
0.20 |
- |
- |
1.45 [1.13:1.76] |
Degree of Labour market frictions |
rW |
Beta |
0.75 |
0.10 |
- |
- |
0.78 [0.64:0.92] |
GDP Contribution |
relY ≡ PyF |
Normal |
1.00 |
0.50 |
- |
- |
1.15 [0.67:1.64] |
Financial accelerator/RT consumers | |||||||
External finance premium elasticity (F) |
χF |
Inv. gamma |
0.05 |
4.00 |
- |
0.03 [0.01:0.05] |
0.05 [0.01:0.10] |
External finance premium elasticity (I) |
χI |
Inv. gamma |
0.05 |
4.00 |
- |
- |
0.03 [0.01:0.05] |
Inverse of Leverage (F) |
nkF |
Beta |
0.50 |
0.15 |
- |
0.58 [0.41:0.74] |
0.53 [0.29:0.75] |
Inverse of Leverage (I) |
nkI |
Beta |
0.50 |
0.15 |
- |
- |
0.61 [0.39:0.81] |
Entrepreneurs survival rate (F) |
ξeF |
Beta |
0.93 |
0.05 |
- |
0.93 [0.88:0.96] |
0.90 [0.88:0.98] |
Entrepreneurs survival rate (I) |
ξeI |
Beta |
0.93 |
0.05 |
- |
- |
0.89 [0.84:0.95] |
Proportion of RT consumers |
λ |
Beta |
0.40 |
0.10 |
- |
0.21 [0.11:0.29] |
0.30 [0.19:0.43] |
Interest rate rule | |||||||
Interest rate smoothing |
ρ |
Beta |
0.75 |
0.10 |
0.81 [0.70:0.92] |
0.79 [0.66:0.92] |
0.80 [0.68:0.93] |
Feedback from expected inflation |
θ |
Normal |
2.00 |
1.00 |
1.64 [0.31:3.14] |
2.42 [0.83:3.89] |
2.40 [1.09:3.53] |
Feedback from past inflation |
φ |
Normal |
2.00 |
1.00 |
0.52 [-0.09:1.14] |
1.64 [0.48:2.86] |
1.00 [0.15:1.76] |
Degree of forward-lookingness |
ψ |
Beta |
0.50 |
0.20 |
0.51 [0.17:0.83] |
0.42 [0.13:0.72] |
0.50 [0.21:0.78] |
Degree of backward-lookingness |
τ |
Beta |
0.50 |
0.20 |
0.47 [0.10:0.86] |
0.46 [0.11:0.84] |
0.50 [0.15:0.88] |
AR(1) coefficient | |||||||
Technology (F) |
ρAF |
Beta |
0.75 |
0.10 |
0.60 [0.46:0.74] |
0.73 [0.61:0.85] |
0.72 [0.58:0.88] |
Technology (I) |
ρAI |
Beta |
0.75 |
0.10 |
- |
- |
0.70 [0.56:0.84] |
Government spending |
ρG |
Beta |
0.75 |
0.10 |
0.66 [0.56:0.77] |
0.82 [0.71:0.92] |
0.79 [0.81:0.87] |
Price mark-up (F) |
ρMSF |
Beta |
0.75 |
0.10 |
0.69 [0.52:0.87] |
0.68 [0.53:0.83] |
0.73 [0.57:0.89] |
Price mark-up (I) |
ρMSI |
Beta |
0.75 |
0.10 |
- |
- |
0.74 [0.59:0.91] |
Risk premium |
ρRPS |
Beta |
0.75 |
0.10 |
0.67 [0.58:0.75] |
0.78 [0.70:0.86] |
0.78 [0.69:0.87] |
Standard deviation of AR(1) innovations/I.I.D. shocks | |||||||
Technology (F) |
sd ( A ) |
Inv. gamma |
3.00 |
3.00 |
1.78 [1.08:2.46] |
1.21 [0.90:1.51] |
2.09 [1.07:3.21] |
Technology (I) |
sd ( €Ai ) |
Inv. gamma |
3.00 |
3.00 |
- |
- |
1.61 [1.13:2.12] |
Government spending |
sd ( -G ) |
Inv. gamma |
3.00 |
3.00 |
7.01 [4.87:9.17] |
5.78 [1.12:9.77] |
21.09 [17.19:25.00] |
Price mark-up (F) |
sd ( ^msF ) |
Inv. gamma |
3.00 |
3.00 |
2.66 [0.97:4.53] |
4.87 [1.21:8.31] |
2.11 [1.01:3.25] |
Price mark-up (I) |
sd ( ^MSi ) |
Inv. gamma |
3.00 |
3.00 |
- |
- |
2.07 [0.99:3.16] |
Risk premium |
sd ( tRPS) |
Inv. gamma |
3.50 |
3.00 |
3.93 [1.95:5.89] |
1.94 [1.28:2.56] |
1.99 [1.30:2.66] |
Monetary policy |
sd ( <mps ) |
Inv. gamma |
3.00 |
3.00 |
1.38 [0.95:1.80] |
2.77 [1.52:4.03] |
1.96 [1.12:2.76] |
Employment ratio? |
rpι ^Ξj(^λΠFΣΣ |
n.a. |
0.20 |
n.a. |
- |
- |
0.28 [0.22:0.35] |
Price contract length (F) |
1 1 -ξF |
2.38 |
1.67 |
4.02 | |||
Price contract length (I) |
1 1 -ξl |
- |
- |
1.43 | |||
relγ (PP´1 -μCt-( |
PF ´( It+G t ) | ||||||
Weight on formality |
w ≡ ∕pf √-μ-----l |
p P-, ∖ ι-μ - |
- |
- |
0.30 | ||
Pf^) C^t + relγ |
(PI) Ct | ||||||
LL |
-358.95 |
-356.28 |
-350.73 | ||||
Prob. |
0.0003 |
0.0039 |
0.9959 |
Table 3: Priors and Posterior Estimates - Indian Economy
♦ Notes: we report posterior means and 95% probability intervals (in parentheses) based on the
output of the Metropolis-Hastings Algorithm. Sample range: 1996:I to 2008:IV.
z F=formal sector; I=informal sector.
? The employment ratio reln has an unknown distribution and the estimated nF = 0.3153.
43