Changes in Net Gini Following Pandemics by Robotization Levels
(Percentage points; T = pandemic year)
Citation: IMF Working Papers 2021, 011; 10.5089/9781513566849.001.A001Source: Authors.Note: Impulse responses are estimated using a sample of 66 economies over the period 1993–2014, using local projection method (Jorda, 2005), allowing the coefficients on pandemic variables to vary depending on robot density and the pace of robot adoption (top, medium, and bottom 1/3), where the adoption pace is proxied by the cumulative sum of new robot installation over the next 5 years. The estimates are based on: . The dependent variable is the changes in net Gini in logs; D is a dummy indicating pandemic years; Rq denotes a dummy indicating high/medium/low robot density or adoption; X denotes three lags of the dependent variable and the pandemic dummy. The estimation controls for country fixed effects, time dummies, and global business cycle. Standard errors are clustered at the country level.