"Figure 5: Older businesses are more productive than younger businesses, on average","" "2006 to 2017, constant price, Great Britain","" "","" "Notes","1. This chart shows the relationship between employment and labour productivity, after controlling for industry and survey year. It was created using the [‘binscatter’ Stata package](https://michaelstepner.com/binscatter/). This process first calculates the residuals of age and log labour productivity after controlling for industry and survey year. It then splits observations into 50 bins according to age and calculates the mean residual of age and mean residual of log labour productivity in each bin. 2. Includes all businesses covered by the Annual Business Survey (ABS) excluding sections K (Financial and insurance activities) and L (Real estate activities). 3. The data exclude businesses that are aged 24 or above; the top and bottom 1% of businesses in terms of productivity; businesses that record zero turnover and purchases in a period. 4. The data are in 2016 constant prices and weighted by ABS sample weights and employment. " "Unit","Relative log GVA per worker" "","" "Bin","Relative age","Relative log GVA per worker" "1","-14.85905","-0.39194369" "2","-13.015409","-0.29749547" "3","-11.865876","-0.21475942" "4","-10.848364","-0.1525923" "5","-10.003064","-0.15874751" "6","-9.3130971","-0.11340333" "7","-8.648049","-0.05098883" "8","-8.0120641","-0.05753194" "9","-7.4064541","-0.06686931" "10","-6.805767","-0.01844057" "11","-6.2180984","-0.0235155" "12","-5.5860854","-0.03382191" "13","-4.9645437","0.00474462" "14","-4.3929165","-0.00719619" "15","-3.7720562","-0.00079728" "16","-3.1322006","-0.0282991" "17","-2.506002","0.00357972" "18","-1.8403599","-0.00001225" "19","-1.1711829","0.00423999" "20","-0.55354781","-0.00708317" "21","0.02862718","0.04952244" "22","0.53719553","-0.03561731" "23","1.056257","-0.04058969" "24","1.4892193","0.01081171" "25","1.8862107","0.04722511" "26","2.1755415","0.08194191" "27","2.4364035","0.07886059" "28","2.71014","0.06934111" "29","2.9481796","-0.00461921" "30","3.1964477","0.05132426" "31","3.4019501","0.09359971" "32","3.5921669","0.0515811" "33","3.8298999","0.06276318" "34","4.0832796","0.04279243" "35","4.2579103","0.0597406" "36","4.4876813","0.01523525" "37","4.7011373","0.05581428" "38","4.9348681","0.04577337" "39","5.1618223","0.03366687" "40","5.389962","0.07741774" "41","5.6315055","0.07613601" "42","5.890976","0.04748747" "43","6.1745039","0.02602288" "44","6.4543667","0.06094094" "45","6.8032262","0.05334558" "46","7.1668362","0.11197424" "47","7.5695802","0.0783985" "48","8.0972439","0.07702983" "49","8.7962296","0.10456287" "50","10.365744","0.12419616"