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Appears unplayed and unhandled

synth2 cigsale lnincome age15to24 retprice beer /// cigsale(1988) cigsale(1980) cigsale(1975), /// trunit(3) trperiod(1989) xperiod(1980(1)1988) /// nested allopt The key options are: trunit(3) treated unit is California (state == 3) trperiod(1989) treatment begins in 1989 xperiod(1980(1)1988) average covariates over 19801988 for matching nested use nested optimization (outer V-weights, inner W-weights) allopt try multiple starting values to avoid local optima Pre-treatment fit Fitting results in the pretreatment periods: Treated Unit: California Treatment Time: 1989 Number of Control Units = 38 Root Mean Squared Error = 1.75567 Number of Covariates = 7 R-squared = 0.97434 The synthetic control explains 97.4% of the pre-treatment variation in Californias cigarette sales (R-squared = 0.974), with a Root Mean Squared Error (RMSE) of just 1.76 packs per capita

So the word went out: Dangerous students give themselves away

A regular filter does an okay job, but a filter specifically designed for smoke and particles can drastically reduce smoke levels and improve indoor air quality

How does Prudentials financial strength compare to other carriers

Yeah, all of their records, and also there's the fact that the first major tour we ever did was supporting the Everly Brothers, Little Richard, and Bo Diddley