csdid specification

[Sharma Swati]

Hello

I am using csdid for my project and generated the following event-study results:

 csdid_stats event

------------------------------------------------------------------------------
             | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
     Pre_avg |  -.0009973   .0014513    -0.69   0.492    -.0038418    .0018472
    Post_avg |   .1078484   .0160501     6.72   0.000     .0763908     .139306
        Tm39 |   .0041071   .0015545     2.64   0.008     .0010605    .0071538
        Tm38 |  -.0026339   .0029201    -0.90   0.367    -.0083572    .0030893
        Tm37 |   -.020119   .0073923    -2.72   0.006    -.0346076   -.0056305
        Tm36 |  -.0133036   .0117205    -1.14   0.256    -.0362754    .0096682
        Tm35 |  -.0002679   .0040167    -0.07   0.947    -.0081405    .0076048
        Tm34 |  -.0082292   .0067884    -1.21   0.225    -.0215341    .0050758
        Tm33 |  -.0039158   .0073945    -0.53   0.596    -.0184087    .0105771
        Tm32 |  -.0072321   .0059005    -1.23   0.220     -.018797    .0043327
        Tm31 |  -.0179383   .0065119    -2.75   0.006    -.0307014   -.0051753
        Tm30 |  -.0056771   .0054288    -1.05   0.296    -.0163173    .0049631
        Tm29 |   -.002061   .0032883    -0.63   0.531     -.008506     .004384
        Tm28 |   .0051711   .0042093     1.23   0.219     -.003079    .0134213
        Tm27 |  -.0001786   .0074091    -0.02   0.981    -.0147001     .014343
        Tm26 |  -.0057486   .0045414    -1.27   0.206    -.0146496    .0031523
        Tm25 |  -.0027806   .0036352    -0.76   0.444    -.0099055    .0043442
        Tm24 |   .0254117   .0215374     1.18   0.238    -.0168009    .0676243
        Tm23 |  -.0046974   .0071148    -0.66   0.509    -.0186422    .0092473
        Tm22 |  -.0016667   .0068897    -0.24   0.809    -.0151703    .0118369
        Tm21 |   .0003036   .0065385     0.05   0.963    -.0125117    .0131189
        Tm20 |  -.0015216   .0038455    -0.40   0.692    -.0090586    .0060154
        Tm19 |   .0129876   .0137779     0.94   0.346    -.0140166    .0399919
        Tm18 |  -.0036145   .0040568    -0.89   0.373    -.0115658    .0043367
        Tm17 |    .007753    .004472     1.73   0.083    -.0010119    .0165178
        Tm16 |  -.0060686   .0047496    -1.28   0.201    -.0153776    .0032403
        Tm15 |   .0013588   .0041114     0.33   0.741    -.0066993    .0094169
        Tm14 |    .005349   .0064884     0.82   0.410     -.007368    .0180661
        Tm13 |  -.0133631   .0056533    -2.36   0.018    -.0244433   -.0022829
        Tm12 |  -.0043908   .0051372    -0.85   0.393    -.0144596     .005678
        Tm11 |  -.0077092   .0047158    -1.63   0.102     -.016952    .0015336
        Tm10 |    .005999   .0039926     1.50   0.133    -.0018263    .0138244
         Tm9 |   .0024248   .0048102     0.50   0.614    -.0070029    .0118526
         Tm8 |   .0036913   .0055437     0.67   0.506    -.0071743    .0145568
         Tm7 |   .0120536   .0078978     1.53   0.127    -.0034259     .027533
         Tm6 |    .005343   .0046419     1.15   0.250    -.0037549     .014441
         Tm5 |   .0001645   .0052916     0.03   0.975    -.0102069    .0105358
         Tm4 |  -.0084751   .0054082    -1.57   0.117     -.019075    .0021249
         Tm3 |   .0141377   .0044105     3.21   0.001     .0054934     .022782
         Tm2 |  -.0068797    .004734    -1.45   0.146    -.0161581    .0023987
         Tm1 |   .0033224   .0037875     0.88   0.380     -.004101    .0107457
         Tp0 |   .0067669   .0032985     2.05   0.040      .000302    .0132318
         Tp1 |   .0141941   .0052654     2.70   0.007     .0038741    .0245141
         Tp2 |   .0245632   .0063201     3.89   0.000     .0121761    .0369504
         Tp3 |    .034065   .0082752     4.12   0.000     .0178459    .0502841
         Tp4 |   .0424668   .0095953     4.43   0.000     .0236604    .0612733
         Tp5 |   .0512868   .0103285     4.97   0.000     .0310432    .0715303
         Tp6 |   .0648025   .0113677     5.70   0.000     .0425221    .0870828
         Tp7 |    .065625   .0120187     5.46   0.000     .0420687    .0891813
         Tp8 |   .0822753    .014034     5.86   0.000     .0547692    .1097815
         Tp9 |   .0932812   .0163606     5.70   0.000      .061215    .1253475
        Tp10 |    .097328   .0149333     6.52   0.000     .0680592    .1265968
        Tp11 |   .0998352   .0155778     6.41   0.000     .0693032    .1303671
        Tp12 |   .1026511    .015429     6.65   0.000     .0724107    .1328915
        Tp13 |   .1046291   .0175821     5.95   0.000     .0701688    .1390894
        Tp14 |   .1108001    .018125     6.11   0.000     .0752758    .1463245
        Tp15 |   .1137643   .0185541     6.13   0.000     .0773989    .1501297
        Tp16 |   .1173698   .0190938     6.15   0.000     .0799466     .154793
        Tp17 |   .1203348    .022064     5.45   0.000     .0770901    .1635795
        Tp18 |   .1277723   .0232634     5.49   0.000     .0821768    .1733678
        Tp19 |   .1236027   .0217126     5.69   0.000     .0810468    .1661585
        Tp20 |   .1289186   .0250126     5.15   0.000     .0798948    .1779425
        Tp21 |   .1631441   .0220668     7.39   0.000     .1198941    .2063942
        Tp22 |   .1499553   .0305062     4.92   0.000     .0901643    .2097463
        Tp23 |   .1391567   .0379566     3.67   0.000     .0647632    .2135502
        Tp24 |   .1329799   .0428492     3.10   0.002     .0489971    .2169627
        Tp25 |   .1638393   .0363556     4.51   0.000     .0925837    .2350949
        Tp26 |   .1729018   .0310026     5.58   0.000     .1121378    .2336657
        Tp27 |    .188125   .0416036     4.52   0.000     .1065834    .2696666
        Tp28 |   .1750178   .0394391     4.44   0.000     .0977186    .2523171
        Tp29 |   .1564509   .0328694     4.76   0.000      .092028    .2208738
        Tp30 |   .1597619   .0449071     3.56   0.000     .0717456    .2477782
        Tp31 |   .1234821   .0104527    11.81   0.000     .1029952     .143969
------------------------------------------------------------------------------

Since i have a large number of years and multiple treatment times, I want to find a way to represent my results in a table. Is there a way to do this more concisely like taking a few periods at a time so that the results can fit in a page? for example instead of Tp1, Tp2, Tp3 and so on..., i can get an average [-5,1], [-5,5] etc.

thank you!

[FernandoRios]

look at the option "window"

[Sharma Swati]

FernandoRios thank you so much for your response. Yes, that works for me.

Also, can you tell me how can export my 'estat all' results to excel? I can't figure it out at all!

[FernandoRios]

You have to do it one by one , something like
estat simple, estore(simple)
estat calendar, estore(calendar)
esttab simple calendar using file, rtf

[Sharma Swati]

FernandoRios that's brilliant! works perfectly. thank you so much!