请教2个DID的问题:请老师指教~~~
问题1:政策是2011年施行,可以选取2005年到2019年的数据么?还是必须以2011年为中心,前后年份数对称呢?
问题2:如下指令和结果所示,我同时控制了个体(icode)和时间(year)固定效应,但变量treat一直显示共线(treat:受政策影响的个体取1,不受影响的个体取0.)2019年的year也是共线的。但交互项显著,那是不是可以不去理会treat共线问题呢?
以下是指令和回归结果:
. xtset code1 year
panel variable: code1 (unbalanced)
time variable: year, 2005 to 2019, but with gaps
delta: 1 unit
. gen gd= t* treat
.xtreg y gd t treat salary tax asset i.year i. code1, fe
note: treat omitted because of collinearity
note: 2019.year omitted because of collinearity
note: 2.code1 omitted because of collinearity
note: 3.code1 omitted because of collinearity
note: 4.code1 omitted because of collinearity
note: 5.code1 omitted because of collinearity
note: 6.code1 omitted because of collinearity
note: 7.code1 omitted because of collinearity
note: 8.code1 omitted because of collinearity
note: 9.code1 omitted because of collinearity
note: 10.code1 omitted because of collinearity
note: 11.code1 omitted because of collinearity
note: 12.code1 omitted because of collinearity
Fixed-effects (within) regression Number of obs = 3051
Group variable: code1 Number of groups = 237
R-sq: within = 0.8183 Obs per group: min = 6
between = 0.8949 avg = 12.9
overall = 0.8594 max = 15
F(18,2796) = 699.75
corr(u_i, Xb) = 0.2457 Prob > F = 0.0000
------------------------------------------------------------------------------
y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
gd | -1.36e+08 7.87e+07 -1.72 0.085 -2.90e+08 1.86e+07
t | 6.88e+07 7.70e+07 0.89 0.372 -8.21e+07 2.20e+08
treat | 0 (omitted)
salary | 1.296956 .0456256 28.43 0.000 1.207493 1.386419
tax | .5717274 .0336004 17.02 0.000 .5058433 .6376115
asset | .022416 .0005227 42.89 0.000 .0213912 .0234409
|
year |
2006 | 5.55e+07 7.48e+07 0.74 0.458 -9.11e+07 2.02e+08
2007 | 1.70e+08 7.39e+07 2.30 0.022 2.51e+07 3.15e+08
2008 | 1.16e+08 7.64e+07 1.52 0.128 -3.36e+07 2.66e+08
2009 | 1.44e+08 7.52e+07 1.92 0.055 -3013132 2.92e+08
2010 | 1.83e+08 7.41e+07 2.47 0.014 3.79e+07 3.29e+08
2011 | 1.45e+08 7.25e+07 2.00 0.045 2981457 2.87e+08
2012 | 1.01e+08 7.18e+07 1.41 0.158 -3.94e+07 2.42e+08
2013 | 1.72e+08 7.19e+07 2.39 0.017 3.08e+07 3.13e+08
2014 | 1.71e+08 7.29e+07 2.34 0.019 2.76e+07 3.13e+08
2015 | 1.55e+08 7.34e+07 2.11 0.035 1.11e+07 2.99e+08
2016 | 1.24e+08 7.18e+07 1.72 0.086 -1.73e+07 2.64e+08
2017 | 1.31e+08 7.13e+07 1.84 0.066 -8517435 2.71e+08
2018 | 4.46e+07 7.19e+07 0.62 0.535 -9.64e+07 1.86e+08
2019 | 0 (omitted)
|
code1 |
2 | 0 (omitted)
3 | 0 (omitted)
4 | 0 (omitted)
5 | 0 (omitted)
6 | 0 (omitted)
7 | 0 (omitted)
8 | 0 (omitted)
以下是利用dataex导出的部分数据:
* Example generated by -dataex-. To install: ssc install dataex
clear
input int(code1 year) double y byte(treat t) double(salary tax asset) float gd
1 2005 351727460 0 0 409928278 521756284 1.61173e+11 0
1 2006 1302906538 0 0 614628342 474579671 . 0
1 2007 2649903000 0 0 925411000 819756000 . 0
1 2008 614035000 0 0 1247420000 1197849000 0 0
1 2009 5030729000 0 0 1681728000 652289000 0 0
1 2010 6283816000 0 0 1878603000 1125121000 0 0
1 2011 10390491000 0 1 3600345000 2535814000 0 0
1 2012 13510780000 0 1 4863106000 2298642000 0 0
1 2013 1.5231e+10 0 1 6.013e+09 4.205e+09 0 0
1 2014 1.9802e+10 0 1 7.961e+09 5.794e+09 0 0
1 2015 2.1865e+10 0 1 1.0351e+10 6.571e+09 0 0
1 2016 2.2599e+10 0 1 9.289e+09 1.2754e+10 0 0
1 2017 2.3189e+10 0 1 1.0713e+10 1.1891e+10 0 0
1 2018 2.4818e+10 0 1 1.2238e+10 9.366e+09 0 0
1 2019 2.8195e+10 0 1 1.4218e+10 1.2031e+10 0 0
2 2005 1433425712 0 0 17719176.86 43424625.76 19884926088 0
2 2006 2308440479 0 0 325218938.8 203550729.4 44677793757 0
2 2007 5317500818 0 0 729790790.4 795716627 95432519188 0
2 2008 4639869153 0 0 517762853.2 -861985122.5 1.13456e+11 0
2 2009 6430007539 0 0 806504472.2 1176877640 1.30323e+11 0
2 2010 8839610505 0 0 1415758827 3165476402 2.05521e+11 0
2 2011 11599606212 0 1 1690351692 4078618157 2.82647e+11 0
2 2012 15662588423 0 1 2177748944 4515588914 3.62774e+11 0
2 2013 18297549871 0 1 2451674437 4578205234 4.42047e+11 0
2 2014 19287524028 0 1 1830829987 5124172860 4.64806e+11 0
2 2015 25949438026 0 1 2642657170 7373980495 5.47024e+11 0
2 2016 28350255481 0 1 3839926643 9553084094 7.21295e+11 0
2 2017 37208387330 0 1 4930413961 10774906266 1.01755e+12 0
2 2018 49272294535 0 1 5770851837 18730860802 1.29507e+12 0
2 2019 55131614572 0 1 6896261420 25109731107 1.43899e+12 0
3 2006 3055159.25 0 0 1411112.54 4567940.8 149801742.2 0
3 2009 4532533.64 0 0 1495730.22 941241.14 161615551.3 0
3 2010 20201272.92 0 0 1623369.89 2662254.91 99498183.63 0
3 2011 9193067.82 0 1 1516485.55 1581367.19 109737437.5 0
3 2012 7814225.29 0 1 862729.14 -1401101.71 133080060 0
3 2013 5796749.79 0 1 1142823.04 2853657.82 174264481.1 0
3 2014 15624813.56 0 1 2490640.93 7834515.76 264071607.4 0
3 2015 6857151.71 0 1 2170997.83 3045616 326529113 0
3 2016 39716316.22 0 1 2003422.27 1464629.93 134232376.1 0
3 2017 5892241.41 0 1 1995585.54 4733366.34 145429822.5 0
4 2006 54819108.11 0 0 3723783.48 81823846.14 319050005.7 0
4 2007 77374688.36 0 0 1570646.59 132196611.1 243706473.9 0
4 2008 10499719.92 0 0 1331295.75 137673912.3 279895737.9 0
4 2011 11414651.25 0 1 2417860.38 59940788.95 179653391 0
4 2012 22021617.89 0 1 2211085.9 64783368.73 353285546.4 0
4 2014 43163944.16 0 1 2275477.34 57879550.89 244575037.9 0
4 2016 116962419.9 0 1 4272444.22 94269549.83 939790121 0
4 2017 22935991.94 0 1 9531447.14 101074814.6 1183094134 0
4 2018 156748626.1 0 1 10225515.2 145648117.7 1754999552 0
4 2019 178498643.5 0 1 10672076.58 172199562.2 1597543579 0
5 2005 104222639.5 0 0 35425761.81 45728131.79 1864922931 0
5 2006 215456140.6 0 0 41818506.37 47617803.92 1648907095 0
5 2007 252403755.4 0 0 42150020.83 142933274.9 4498364502 0
5 2008 150211068.9 0 0 32536962.69 288628483.5 5164479957 0
5 2009 335222969.1 0 0 31093776.59 427411644 6244412949 0
5 2010 496465075.5 0 0 35160211.6 574441554.1 7628334550 0
5 2011 434117007.9 0 1 43263358.9 798164784.5 7025457984 0
5 2012 629565380 0 1 44424193.25 788420155.8 7726927035 0
5 2013 698009106 0 1 49990234.51 580335740.3 7703301272 0
5 2014 512453559.5 0 1 28820420.5 831904573.8 9473790871 0
5 2015 438785915.1 0 1 21956326.93 763708421.8 10470662335 0
5 2016 803876525.5 0 1 23928168.1 797707321.7 11082483224 0
5 2017 820482505.6 0 1 52941477.91 575449888.1 10583259881 0
5 2018 923127396.2 0 1 60435486.3 674447645.1 10427435319 0
5 2019 843064948.9 0 1 53582909.77 759745230.6 12475939204 0
6 2005 10293621.47 0 0 4830846.71 49022163.46 382883699.5 0
6 2007 8683640.6 0 0 2743795.24 44334882.06 303094403.3 0
6 2009 20420709.85 0 0 2711835.26 42470209.12 109271674.7 0
6 2010 21700158.05 0 0 1950956.94 43659885.88 98205091.19 0
6 2011 8310538.62 0 1 2203748.61 6939046.05 145842522.3 0
6 2012 4433296.39 0 1 2351593.32 3767620.87 586889399 0
6 2013 18830603.46 0 1 2375286.32 21997923.22 421769708.2 0
6 2015 13238872.22 0 1 945585.1 34842047.04 287986678 0
6 2016 81567961.1 0 1 1772121.11 12262103.73 242657552.6 0
6 2017 795055.38 0 1 1035106.84 2041803.1 193336840 0
6 2019 22229071 0 1 1084348.39 4455231.48 391566275.7 0
7 2007 1682236.9 0 0 0 1960729.51 41727267.98 0
7 2008 748037.14 0 0 0 2620095.95 43269560.51 0
7 2009 313488.74 0 0 0 2591667.74 45371673.9 0
7 2010 888948.26 0 0 0 223173.2 45136418.68 0
7 2012 39129030.59 0 1 7993099.1 9750195.46 160649196.7 0
7 2013 22757953.94 0 1 7980166.63 6165784.72 208793926.9 0
7 2014 7766402.64 0 1 8956506.1 9740581.65 234707483.7 0
7 2015 189909159.6 0 1 49424067.14 67070590.88 1653063812 0
7 2016 530541641.4 0 1 76558683.2 180982296.1 4415379603 0
7 2017 889609890.1 0 1 106295092.3 213285991.1 6481932952 0
7 2018 341889698.1 0 1 142441563.5 179460689 5632607971 0
7 2019 457416661.6 0 1 191189399.9 159799589.3 6618083693 0
8 2005 113998063.2 0 0 11125140.7 -5109930.02 3567706352 0
8 2006 156697013.8 0 0 16029069.38 -3057052.34 4160241556 0
8 2007 331561474.2 0 0 16882769.35 -15751751.01 4046432772 0
8 2008 271544919.2 0 0 17698435.28 75912384.74 4293464132 0
8 2009 408594409.4 0 0 27302980.53 93989483.02 5108751975 0
8 2010 441594065.9 0 0 31794202.89 69852234.48 7215824147 0
8 2011 380435408.3 0 1 21256646.36 155452782.2 8772823727 0
8 2012 307301126.7 0 1 20500097.87 178678113.2 9625613015 0
8 2013 444151234.2 0 1 43119641.48 199873902.8 9410692554 0
8 2014 472548632.6 0 1 39227774.43 172797728.5 10147248050 0
8 2015 965898398.9 0 1 87954131.91 338649352.7 12534468630 0
8 2016 419482105.1 0 1 87645441.9 224329268 14100133637 0
8 2017 323247414.7 0 1 79203881.03 316102933.6 18214882103 0
8 2018 665070544.3 0 1 108236982.3 936929452.7 20135017882 0
8 2019 711856499.1 0 1 139307435.2 1176939785 19695647224 0
9 2006 11538836.99 0 0 6176337.88 18614396.09 173242489.2 0
9 2008 18345826.75 0 0 6401113.25 17766034.25 153753443.4 0
9 2009 9630354.3 0 0 7811337.84 18168702 183423929.3 0
9 2010 3832468.48 0 0 8562447.93 21211690.96 165230615.3 0
9 2011 8374495.19 0 1 6541127.78 26157026.89 179620692.2 0
9 2012 3593386.51 0 1 7361702.58 25812680.34 186219758.3 0
9 2013 3810759.8 0 1 11176209.46 43778320.54 959796631.7 0
9 2015 19974104.65 0 1 15015253.72 94214808.57 3443557674 0
9 2016 38935297.02 0 1 13939022.39 38285444.06 3031055668 0
9 2019 126127504.6 0 1 11620562.33 86839587.12 3572351803 0
end