I am an economics grad student and I am in the process of writing a paper disproving using the Gini coefficient as a solitary measure of income inequality in migration determinants analysis. 

I have taken Gini and migration rates from different countries for two time periods and ran a mixed model where *random effects was Gini* and *AbroadIncome*, and *fixed effect was whether the country was 'Rich_Poor_Indicator'*.

The idea was that Gini coefficient is **not** a sufficient measure of income inequality as a determinant for migration (I have done lit. review prior), so I expected some garbage results, but I feel like my model is too bizarre.

Here is my ANOVA:
     <pre> <table style="text-align:center"><caption><strong>Regression Results</strong></caption>
        <tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td    style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
        <tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
        <tr><td style="text-align:left"></td><td>Migration</td></tr>
        <tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr>
        <tr><td style="text-align:left">Rich_Poor_IndicatorMid</td>.   <td>206,974.300</td>.</tr>
    <tr><td style="text-align:left">.</td><td>(292,230.400)</td></tr>
    <tr><td style="text-align:left"></td><td></td></tr>
    <tr><td style="text-align:left">Rich_Poor_IndicatorHigh</td>.   <td>188,436.900</td></tr>
    <tr><td style="text-align:left"></td><td>(359,936.000)</td></tr>
    <tr><td style="text-align:left"></td><td></td></tr>
    <tr><td style="text-align:left">AbroadIncome</td>.    <td>4.978</td></tr>
    <tr><td style="text-align:left"></td><td>(59.609)</td></tr>
    <tr><td style="text-align:left"></td><td></td></tr>
    <tr><td style="text-align:left">Constant</td>.   <td>1,203,225.000<sup>***</sup></td></tr>
    <tr><td style="text-align:left"></td><td>(308,437.300)</td></tr>
    <tr><td style="text-align:left"></td><td></td></tr>
    <tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>153</td></tr>
    <tr><td style="text-align:left">Log Likelihood</td>.   <td>-2,327.963</td></tr>
    <tr><td style="text-align:left">Akaike Inf. Crit.</td>.    <td>4,677.926</td></tr>
    <tr><td style="text-align:left">Bayesian Inf. Crit.</td>.  <td>4,711.261</td></tr>
    <tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
    </table> </pre>

But, my CIs and Random Effects per each country are more comprehensible! But Gini does not show up in Random Effects...

Random Effects
  [1]: https://i.sstatic.net/hYsnd.png

CIs for some countries
  [2]: https://i.sstatic.net/flEgG.png


Sorry for the messy formatting, I am still learning how to use this platform! Any help is appreciated! Thanks in advance!