          0$\%$          0$\%$                                         (0.00)\*\*\*   (00.00)\*\*\*      (00.00)\*\*\*   (00.00)\*\*\*   (0.00)\*\*\*   00$^{\rm{th}}$ $\%$tile chnge/year       0.0000         0.0000             0.0000          0.0000          0.0000   $\%$ change '00-'00                     000$\%$         000$\%$            000$\%$         000$\%$        000$\%$                                         (0.00)\*\*\*   (00.00)\*\*\*      (00.00)\*\*\*   (00.00)\*\*\*   (0.00)\*\*\*   N                                        00,000         00,000             00,000          00,000          0,000   ------------------------------------ -------------- --------------- -- --------------- --------------- --------------    : Volatility Trends by Age and Education[]{data-label="table: voltrendageedy"}  [Results from a weighted OLS regression to predict the posterior mean variance (volatility) estimate with a linear time trend. The "change" row shows the coefficient on calendar time; the "percent change" row shows the expected percent change over the sample implied by this coefficient.  This is (000 percent) times (0000 minus 0000) times (the coefficient on calendar time) divided by (the average posterior mean in the sample). The top panel presents results for the permanent variance; the bottom panel presents results for the transitory variance. Each column presents results for a different sub-sample.  