I'm running a fixed effects diff. in diff. I have data on 1,000 firms for 3 years with the treatment being carried out in period 3. I coded treatgroup as a dummy with 1 for treated and 0 for untreated; years contains 2013 2014 and 2015 and in my understanding, it can be used with i. the covariates are continuous.
My objective is to estimate: (PRODUCTIVITY)t= (TREATMENT)t + YEARS + Fixed Effects + Covariates+ Error
if I use just two periods (1 pre treatment and 1 with treatment) I get:
Code:
xtreg prod treatgroup##i.year capital_per_worker graduates if year==2014 | year==2015, fe note: 1.treatgroup omitted because of collinearity Fixed-effects (within) regression Number of obs = 2,000 Group variable: id Number of groups = 1,000 R-sq: Obs per group: within = 0.8176 min = 2 between = 0.9982 avg = 2.0 overall = 0.9978 max = 2 F(4,996) = 1116.00 corr(u_i, Xb) = -0.8917 Prob > F = 0.0000 ------------------------------------------------------------------------------------ productivity | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------+---------------------------------------------------------------- 1.treatgroup | 0 (omitted) | year | 2015 | 14.14306 1.172699 12.06 0.000 11.84181 16.4443 | treatgroup#year | 1 2015 | 3.527095 1.093077 3.23 0.001 1.382097 5.672094 | capital_per_worker | .3243046 .0151881 21.35 0.000 .2945002 .354109 graduates | -.0108163 .1042296 -0.10 0.917 -.215351 .1937185 _cons | -3.904104 40.72751 -0.10 0.924 -83.82568 76.01747 -------------------+---------------------------------------------------------------- sigma_u | 39.766188 sigma_e | 11.913944 rho | .91763318 (fraction of variance due to u_i) ------------------------------------------------------------------------------------ F test that all u_i=0: F(999, 996) = 4.51 Prob > F = 0.0000
Code:
xtreg prod treatg##i.year capital_per_worker graduates, fe note: 1.treatgroup omitted because of collinearity Fixed-effects (within) regression Number of obs = 3,000 Group variable: id Number of groups = 1,000 R-sq: Obs per group: within = 0.8501 min = 3 between = 0.9975 avg = 3.0 overall = 0.9968 max = 3 F(6,1994) = 1884.53 corr(u_i, Xb) = -0.7926 Prob > F = 0.0000 ------------------------------------------------------------------------------------ productivity | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------+---------------------------------------------------------------- 1.treatgroup | 0 (omitted) | year | 2014 | 14.99192 1.075324 13.94 0.000 12.88305 17.1008 2015 | 29.38521 1.361145 21.59 0.000 26.71579 32.05463 | treatgroup#year | 1 2014 | -8.37968 1.236145 -6.78 0.000 -10.80395 -5.955409 1 2015 | -4.838001 1.236083 -3.91 0.000 -7.26215 -2.413851 | capital_per_worker | .318596 .0091791 34.71 0.000 .3005944 .3365976 graduates | .0944828 .0723829 1.31 0.192 -.0474712 .2364368 _cons | -2.767459 24.26562 -0.11 0.909 -50.35608 44.82116 -------------------+---------------------------------------------------------------- sigma_u | 34.553212 sigma_e | 13.461979 rho | .8682144 (fraction of variance due to u_i) ------------------------------------------------------------------------------------ F test that all u_i=0: F(999, 1994) = 7.01 Prob > F = 0.0000
Why the two variables are negative for TREATMENTxYEARS?
Can I conclude something about the common trends assumption?
Thank you for your time, I'm sorry if the question is basic but I'm new to Stata.
0 Response to DID problem with 2 pre treatment periods
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