This　article　considers　the　estimation　for　the　partially　linear　varying　coefficient　model　with　random　effect.　This　article　proposes　to　use　the　estimators　for　the　variance　component　and　profile　weighted　semi-parametric　least　squares　(WSLSE)　techniques　to　estimate　the　parametric　component　efficiently　and　to　establish　its　efficiency　and　asymptotic　properties.　The　proposed　estimator　is　proved　to　be　more　efficient　than　that　naive　estimation　with　working　independence　error　structure.　Some　Monte　Carlo　simulations　are　conducted　to　examine　the　finite　sample　performance.　Moreover,　from　the　empirical　study,　the　newly　proposed　procedure　performs　well　in　moderate-sized　samples.