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Table 5 Restaurant-level impacts on hourly wages from OLS regressions

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

  \(\mathbbm {1}_{[\underline {W} < 19.78]}\)   \(\ln (\underline {W})\)   ln(avg.W)  
  (1) (2) (3) (4) (5) (6)
DDspring –0.251*** –0.263*** 0.021* 0.022* 0.002 0.002
  (0.081) (0.080) (0.012) (0.012) (0.012) (0.012)
DDsummer –0.299*** –0.310*** 0.025** 0.025** 0.005 0.005
  (0.075) (0.075) (0.012) (0.012) (0.012) (0.012)
δspring –0.095** –0.093** 0.019*** 0.020*** 0.019** 0.019*
  (0.046) (0.045) (0.006) (0.006) (0.009) (0.010)
δsummer –0.048 –0.045 0.015*** 0.016*** 0.014 0.014
  (0.033) (0.032) (0.005) (0.006) (0.009) (0.009)
Controls N Y N Y N Y
R2 0.296 0.310 0.216 0.225 0.101 0.103
N restaurants 94 94 94 94 94 94
  1. Notes: OLS regression coefficients reported. In columns (1) and (2), the outcome is a binary variable equal to one if at least one employee earns less than CHF 19.78 per hour, zero otherwise (\(\underline {W}\) denotes the lowest hourly wage rate in restaurant). In columns (3) and (4), the outcome is the natural logarithm of \(\underline {W}\). In columns (5) and (6), the outcome is the natural logarithm of average hourly wages paid in the restaurant. All specifications include restaurant and time fixed effects, and columns (2), (4), and (6) include control variables “Daily meals served (Mon-Thu)” and “Daily meals served (Fri-Sun).” Excludes data for managers and members of their family. Robust standard errors clustered at the restaurant level reported in parentheses. ,, and denote statistical significance at 10%, 5%, and 1%, respectively