Code:
Earning employment Establishment
Treat 27,425.41 19,458.09 3,829.57
(10,636.87) (35,378.12) (4,147.39)
Control 33,612.52 22,614.83 2,640.76
(14,158.23) (40,015.26) (3,051.18)

Code:
Earn (OLS) Earn ( IV I) (Earn IV II) Emp (OLS) Emp (IV I) Emp(IV II) Est (OLS) (Est IV I) Est (IV II)
-.157*** -1.116*** -1.080*** -.031** -.365** -.307** .044*** .256** .240**
0.038 0.336 0.415 0.014 0.173 0.142 0.009 0.113 0.118
This is my first time working with a new set of data which focuses on retail industry at us county and year level.

I have created summary statistics first to get a hang of the whole dataset so that I understand if the significant result I'm getting for my regressions is really consistent with the data or not.

In my summary stat table, the standard deviation for earnings is not very high in the case of retail sector. [ Standard deviation is given in between the first bracket for treat and control units ].

Despite not having a high standard deviation, my standard error for IV is quite high compared to OLS.

However, even though my OLS regressions are showing a comparatively lower coefficient, my IV coefficients, and start error - both are on the rather higher side.

Normally, the IV coefficient does that compared to old, but at the same time do you think this has something to do with me mishandling of data ??