Report on productivity/tipping

Geographic Variation of Restaurants

• Number of stores with same chain in same city

plot(store_location$count)

• location-chain pair with more than 1 store and non-negative tipping

nrow(filter(store_location,count>0,AvgTip>0))

[1] 996

Productivity and Stealing

General Stealing and productivity

• Dependent variable Avg steal count per day(store fixed effect)

summary(steal_productivity_regression_1)$coefficients[1:3,c(1,4)]

                        Estimate     Pr(>|t|)
(Intercept)        -9.071889e-03 6.366435e-01
TransactionsPerDay  4.001444e-06 3.974882e-01
TipPerDay           6.757291e-04 3.625628e-51

• Dependent variable Avg steal amount per day(store fixed effect)

summary(steal_productivity_regression_3)$coefficients[1:3,c(1,4)]

                       Estimate     Pr(>|t|)
(Intercept)         0.068812743 8.847115e-01
TransactionsPerDay  0.001712238 1.513592e-48
TipPerDay          -0.009457692 1.518755e-17

Stealing and productivity for each day

• Dependent variable: cheat indicator

summary(steal_productivity_regression_9)$coefficients[1:3,c(1,4)]

                        Estimate     Pr(>|z|)
(Intercept)        -4.3208061634 0.000000e+00
Total_Transactions  0.0003193025 9.011043e-06
TotTip             -0.0003376683 6.778746e-01

• Dependent variable: cheat count each day

summary(steal_productivity_regression_5)$coefficients[1:3,c(1,4)]

                        Estimate     Pr(>|t|)
(Intercept)         1.187554e-02 1.477380e-01
Total_Transactions  1.552577e-05 6.513477e-08
TotTip             -6.618163e-05 3.539710e-02

• Dependent variable: cheat amount each day

summary(steal_productivity_regression_7)$coefficients[1:3,c(1,4)]

                       Estimate     Pr(>|t|)
(Intercept)         0.308954726 3.663806e-24
Total_Transactions  0.000448780 5.929958e-15
TotTip             -0.003040022 1.565202e-06