Panel quantile regression with MCMC optimization outputs
| Method: MCMC panel quantile regression | Optimal quantile regression: 0.5 | |||
|---|---|---|---|---|
| Number of observations: 75 | Total iterations: 1,000 | |||
| Variables | Coefficients | Standard Error | t | p> |t| |
| ISEC | 0.996739 | 0.087314 | 11.41560 | 0.0000** |
| TRADE | −4329.600 | 3236.333 | −1.337810 | 0.1852 |
| GFCF | 3.040288 | 0.043819 | 69.38244 | 0.0000** |
| CPI | 39.68110 | 30.31754 | 1.308849 | 0.1948 |
| Method: MCMC panel quantile regression | Optimal quantile regression: 0.5 | |||
|---|---|---|---|---|
| Number of observations: 75 | Total iterations: 1,000 | |||
| Variables | Coefficients | Standard Error | ||
| ISEC | 0.996739 | 0.087314 | 11.41560 | 0.0000** |
| TRADE | −4329.600 | 3236.333 | −1.337810 | 0.1852 |
| GFCF | 3.040288 | 0.043819 | 69.38244 | 0.0000** |
| CPI | 39.68110 | 30.31754 | 1.308849 | 0.1948 |
Note(s): ** Significant at 1% level
Source(s): MCMC panel quantile regression executed by authors
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