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Table 8 Restaurant-level impacts on prices from OLS regressions

From: Minimum wage regulation in Switzerland: survey evidence for restaurants in the canton of Neuchâtel

  ln(Pricesoda)   ln(Pricecoffee)   ln(Pricedailyspecial)  
  (1) (2) (3) (4) (5) (6)
DDpost –0.002 0.0003 0.007 0.008 0.003 0.003
  (0.009) (0.009) (0.008) (0.009) (0.006) (0.006)
δpost 0.008 0.006 –0.003 –0.004 0.004 0.004
  (0.005) (0.006) (0.008) (0.007) (0.004) (0.004)
Controls N Y N Y N Y
R 2 0.022 0.049 0.009 0.016 0.047 0.049
N restaurants 94 94 94 94 91 91
  1. Notes: OLS regression coefficients reported. In columns (1) and (2), the outcome is the natural logarithm of the price of a 3dl soda. In columns (3) and (4), the outcome is the natural logarithm of the price of a coffee. In columns (5) and (6), the outcome is the natural logarithm of the price of the daily special. All specifications include restaurant and period fixed effects, and columns (2), (4), and (6) include control variables “Daily meals served (Mon-Thu)” and “Daily meals served (Fri-Sun).” Robust standard errors clustered at the restaurant level reported in parentheses. ,, and denote statistical significance at 10%, 5%, and 1%, respectively