Table 6.
Estimation of the NARDL model (xt = CPI, yt = gold prices) (quarterly data).
| France |
USA |
UK |
Japan |
China |
India |
||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Symmetric ARDL | NARDL with LR & SR asymmetry | NARDL with LR asymmetry | NARDL with LR asymmetry | Symmetric ARDL | Symmetric ARDL | ||||||
| goldt − 1 | .012 (0.013) |
goldt − 1 | .154⁎⁎⁎ (0.035) |
goldt − 1 | .109⁎⁎⁎ (0.024) |
goldt − 1 | .078** (0.034) |
goldt − 1 | 001 (0.093) |
goldt − 1 | .082 (0.116) |
| cpit − 1 | 045 (0.043) |
cpit − 1+ | 011 (0.039) |
cpit − 1+ | .088* (0.049) |
cpit − 1+ | .425⁎ (0.717) |
cpit − 1 | .201 (0.396) |
cpit − 1 | 063 (0.237) |
| cpit − 1− | .632⁎⁎⁎ (1.206) |
cpit − 1− | .011*** (1.775) |
cpit − 1− | .333⁎⁎⁎ (0.831) |
Δcpit+ | 435** (1.077) |
||||
| Δgoldt − 1 | 155⁎⁎ (0.080) |
Δgoldt − 1 | .192⁎ (0.106) |
||||||||
| Δcpit+ | 631⁎⁎⁎ (1.290) |
||||||||||
| Const. | 0.064 (0.094) |
Const. | 0.718⁎⁎⁎ (0.180) |
Const. | 0.627⁎⁎⁎ (0.143) |
Const. | 0.368⁎⁎ (0.150) |
Const. | 0.039 (0.426) |
Const. | 0.454 (0.548) |
| Lcpi | 669 | 074 | .808⁎ | 8.112⁎ | Lcpi | 9.431 | Lcpi | 769 | |||
| 0.044⁎⁎⁎ | 3.025⁎⁎⁎ | 9.651⁎⁎⁎ | |||||||||
| AIC | 202.856 | AIC | − 307.228 | AIC | − 308.172 | AIC | − 224.932 | AIC | − 100.330 | AIC | − 87.998 |
| SIC | 261.451 | SIC | − 280.562 | SIC | − 287.432 | SIC | − 205.023 | SIC | − 82.488 | SIC | − 78.332 |
| JB | 354751.3⁎⁎⁎ | JB | 6.455⁎⁎ | JB | 7.029⁎⁎ | JB | 34.080⁎⁎⁎ | JB | 13.032⁎⁎⁎ | JB | 0.267 |
| ARCH | 0.339 | ARCH | 12.780 | ARCH | 3.774 | ARCH | 6.031 | ARCH | 11.501 | ARCH | 10.214 |
Notes: This table reports the estimation results of the best-suited NARDL specifications for the pass-through of the CPI to gold prices. For the lagged variables, we only present those with significant coefficients. Lcpi indicates the long-run coefficient between gold prices and consumer prices. and are the asymmetric positive and negative long-run coefficients. Standard deviations are in parenthesis. JB and ARCH refer to the empirical statistics of the Jarque–Bera test for normality and the Engle (1982) test for conditional heteroscedasticity applied to 12 lags. ⁎, ⁎⁎ and ⁎⁎⁎ denote significance at the 10%, 5% and 1% levels, respectively. +++ indicates the rejection of the null hypotheses of normality and ARCH effects on residuals at the 1% level.