$(10$ points$)$ Following regression specification is used to study the impact of workers' compensation on workers' length of staying out of work. The theory predicts that if the government provides unemployed workers more generous compensation scheme, workers will stay longer out of the labor market. Suppose the policy that increased workers' compensation was announced in $1980.$

widehat$(log($ durat $))=1\mathrm{.}126+\mathrm{.}0077$ afchnge $+\mathrm{.}256$ highearn

$(0\mathrm{.}031)(\mathrm{.}0447),(\mathrm{.}047)$

$+\mathrm{.}191$ afchnge highearn

$(\mathrm{.}069)$

$n=5,626$;$R^2=\mathrm{.}021.$

$log($durat$)$: months staying out of the labor market afchnge: dummy variable, indicating after the policy change highearn: high earnings group. The base group is low earnings group

please interpret the point estimate: $0\mathrm{.}191.$ What is the t$-$statistics? Is it significant?