Hey listers,
I am using the "xsmle" command to run fixed effects models on panel data. I am particularly interested in computing the indirect effects of my covariates so I added the "effects" option. All my variables are in logarithms - dependent ln(x) and independent ln(y)-, but I'm not sure about the interpretation the coefficients should recieve when "effects" is used ( generating the tables LR Direct, LR Indirect and LR Total Effects).
In the example I list below my coefficient is -0.632061, it would be correct to interpret then: a change in 1% in prec is correlated with a change in -0.0632061 in y?
Best regards,
Marcos
I am using the "xsmle" command to run fixed effects models on panel data. I am particularly interested in computing the indirect effects of my covariates so I added the "effects" option. All my variables are in logarithms - dependent ln(x) and independent ln(y)-, but I'm not sure about the interpretation the coefficients should recieve when "effects" is used ( generating the tables LR Direct, LR Indirect and LR Total Effects).
In the example I list below my coefficient is -0.632061, it would be correct to interpret then: a change in 1% in prec is correlated with a change in -0.0632061 in y?
Code:
------------------+----------------------------------------------------------------
LR_Indirect |
ln_prec | -.0632061 .0473598 -1.33 0.182 -.1560296 .0296173
Marcos
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