When I illustrate my Regression Output:
----------------------------------------------------------------------------
(1) (2) (3) (4)
Collateral~y Collateral~y
----------------------------------------------------------------------------
main
Age 0.384** 0.00174 -0.0662 -0.0164
(0.012) (0.799) (0.164) (0.153)

Numberofem~s 0.738 0.00335 -0.129 -0.0319
(0.441) (0.737) (0.170) (0.167)

Totalassets 0.00166 0.00000753 -0.00280*** -0.000693***
(0.404) (0.752) (0.002) (0.002)

Corporatio~y -0.790 -0.00358 1.203 0.298
(0.888) (0.757) (0.397) (0.405)

Grossprofit -0.00898 -0.0000408 -0.00298 -0.000739
(0.278) (0.765) (0.113) (0.118)

Profitabil~t -0.961 -0.00436 -0.151 -0.0374
(0.130) (0.782) (0.147) (0.154)

Leverage_pct -0.192** -0.000872 -0.0663*** -0.0164***
(0.044) (0.792) (0.000) (0.000)

Loansize 0.0379** 0.000172 0.0212*** 0.00526***
(0.041) (0.809) (0.000) (0.000)

Maturity -1.563* -0.00709 -0.520*** -0.129***
(0.054) (0.813) (0.000) (0.000)

GDPGrowth_~t -2.180*** -0.00989 1.229 0.304
(0.001) (0.825) (0.256) (0.260)

Duration -1.623 -0.00736 0.491*** 0.122***
(0.199) (0.774) (0.000) (0.000)

Housebank 10.91*** 0.0495 -5.412*** -1.341***
(0.006) (0.798) (0.000) (0.000)

g1 0.355 0.0880
(0.699) (0.702)

g3 4.375*** 1.084***
(0.000) (0.000)

_cons 25.12 9.489***
(0.136) (0.000)
----------------------------------------------------------------------------
/
lnsig2u -15.03
(.)
----------------------------------------------------------------------------
N 40 40 41 41
r2_p 0.659
----------------------------------------------------------------------------
p-values in parentheses
* p<0.10, ** p<0.05, *** p<0.010

There is a row devoted to Insig2u which I dont understand. Can I surpress it in the table? Also I manually computed the pseudo r squared for the random effects logit model shown in the fourth column. Is there a way to Show it in the table?


input float Collateraldummy byte Numberofemployees long Totalassets float Corporationdummy long Grossprofit float(Profitability_pct Leverage_pct) long Loansize byte Maturity float GDPGrowth_pct double Duration byte Housebank str6 Loantype float Banks
1 28 1500 1 1600 6.25 95 475 10 1.5 0 0 "Credit" 7
0 28 1500 1 1600 6.25 95 475 10 1.5 0 0 "Credit" 1
1 15 500 1 800 8.75 50 150 10 1.5 5.75 1 "Credit" 8
1 15 500 1 800 8.75 50 30 1 1.5 5.75 1 "LC" 8
1 15 500 1 800 8.75 50 20 1 1.5 6 1 "LC" 8
1 10 387 0 815 3.435583 72 80 1 2.2 10 1 "LC" 8
1 10 415 0 830 5.060241 77 80 1 2.2 11 1 "LC" 8
1 10 400 0 850 3.529412 90 120 1 1.5 12 1 "LC" 8
0 10 415 0 830 5.060241 77 60 6 2.2 1 0 "Credit" 7
1 25 800 1 3500 3.4285715 20 100 1 1.5 4.666666666666667 0 "LC" 3
1 25 800 1 3500 3.4285715 20 620 20 1.5 0 0 "Credit" 6
1 25 800 1 3500 3.4285715 20 230 3 1.5 5 0 "LC" 5
0 8 130 0 300 23.333334 40 50 10 1.5 4.75 1 "Credit" 1
0 3 60 0 190 0 0 20 10 .5 0 1 "Credit" 1
0 8 130 0 300 23.333334 40 15 3 2.2 3 0 "LC" 3
1 12 450 1 800 8.125 26 50 10 1.5 10.083333333333334 0 "Credit" 8
1 12 462 1 830 8.192771 32 125 5 2.2 8 0 "Credit" 8
1 12 438 1 755 7.549669 30 100 5 2.2 0 0 "Credit" 4
1 12 450 1 800 8.125 26 15 1 1.5 10 0 "LC" 8
1 12 438 1 755 7.549669 30 15 1 2.2 9 0 "LC" 8
1 12 462 1 830 8.192771 32 15 1 2.2 8 0 "LC" 8
1 12 438 1 755 7.549669 30 120 1 2.2 10 0 "LC" 5
1 12 462 1 830 8.192771 32 120 1 2.2 9 0 "LC" 5
0 12 450 1 800 8.125 26 10 1 1.5 10.583333333333334 0 "LC" 5
1 10 320 1 1000 8 55 70 6 1.5 7 0 "Credit" 5
1 10 320 1 1000 8 55 100 5 1.5 5.166666666666667 0 "Credit" 4
1 12 277 1 800 9.375 60 150 4 1.5 5.083333333333333 1 "Credit" 5
1 25 720 1 1800 11.38889 45 350 3 2.2 12 1 "Credit" 5
0 25 695 1 2000 10.5 45 300 6 1.5 14 1 "Credit" 5
1 3 248 1 500 11 44 30 4 1.7 0 0 "Credit" 3
1 3 250 1 600 8.333333 50 50 5 2.2 1.33 0 "Credit" 4
0 3 248 1 500 11 44 8 1 1.7 0 0 "LC" 7
0 3 250 1 600 8.333333 50 8 1 2.2 1 0 "LC" 7
0 3 250 1 600 8.333333 50 10 3 2.2 1.083 0 "LC" 9
1 25 462 1 1750 2.2857144 45 100 1 2.2 0 0 "LC" 9
1 29 450 1 1900 2.710526 50 200 3 2.2 .5833333333333334 0 "LC" 9
1 29 450 1 1900 2.710526 50 100 1 2.2 1 0 "LC" 9
1 25 462 1 1750 2.2857144 45 250 5 2.2 0 0 "Credit" 4
1 29 440 1 2000 2.5 50 200 5 1.5 1.4166666666666667 0 "Credit" 4
1 9 360 1 415 18.795181 25 15 1 1.7 5 1 "LC" 7
1 9 350 1 435 18.62069 25 25 1 2.2 6 1 "LC" 7
1 9 345 1 430 18.60465 30 15 1 2.2 7 1 "LC" 7
1 14 1000 0 1450 7.931035 60 350 7 .5 15 1 "Credit" 7
0 15 1050 0 1500 6.666667 70 300 10 1.5 20 1 "Credit" 7
1 14 1000 0 1450 7.931035 60 150 1 .5 15 1 "LC" 7
1 15 970 0 1400 6.785714 70 150 1 2.2 16.5 1 "LC" 7
1 15 960 0 1475 6.779661 70 150 1 1.7 17.75 1 "LC" 7
1 3 350 0 400 12.5 50 20 1 1.5 7 1 "LC" 6
1 3 350 0 400 12.5 50 15 5 1.5 7 1 "Credit" 6
0 25 500 1 1100 18.181818 80 150 10 1.5 15 1 "Credit" 5
0 25 500 1 1100 18.181818 80 400 15 1.5 15 1 "Credit" 5
0 25 500 1 1100 18.181818 80 50 1 1.5 15 1 "LC" 5
0 25 620 0 2000 15 20 150 10 1.5 20 1 "Credit" 5
0 25 620 0 2000 15 20 50 1 1.5 20 1 "LC" 5
0 12 380 1 1500 6.666667 30 25 5 1.5 15 1 "Credit" 5
1 7 400 0 950 13.68421 25 300 5 1.7 3 1 "Credit" 7
0 9 425 0 1000 12.3 20 250 7 1.5 6 1 "Credit" 7
1 7 400 0 950 13.68421 25 50 1 1.7 3 1 "LC" 7
1 8 415 0 975 14.358974 20 80 1 2.2 4.333333333333333 1 "LC" 7
1 9 410 0 935 13.368984 20 80 1 2.2 5.333333333333333 1 "LC" 7
1 9 425 0 1000 12.3 20 80 1 1.5 6 1 "LC" 7
1 6 370 0 427 14.285714 42 80 5 2.2 23 1 "Credit" 5
1 6 370 0 427 14.285714 42 30 1 2.2 8 0 "LC" 6
1 6 375 0 430 13.953488 45 45 1 2.2 8.75 0 "LC" 6
0 6 370 0 427 14.285714 42 80 5 2.2 0 0 "Credit" 2
0 28 3500 1 2875 5.495652 38 500 10 .5 14 1 "Credit" 5
0 30 3625 1 3000 5 40 400 7 2.2 4 0 "Credit" 3
1 30 3625 1 3000 5 40 60 2 2.2 5 0 "LC" 4
1 30 3625 1 3000 5 40 50 2 2.2 .16666666666666666 0 "LC" 4
0 15 3100 1 2600 6.538462 50 150 3 1.8 5 0 "Credit" 3
0 15 3100 1 2600 6.538462 50 130 4 1.8 4 0 "Credit" 4
0 15 3100 1 2600 6.538462 50 50 2 1.8 4 0 "LC" 4
1 35 2650 1 2300 9 21 300 5 2.2 22 1 "Credit" 7
1 35 2710 1 2425 9.278351 28 250 7 1.7 23 1 "Credit" 7
0 33 2665 1 2400 8.75 25 50 9 2.2 25.25 1 "Credit" 7
0 33 2700 1 2350 8.297873 25 80 10 1.5 26.333333333333332 1 "Credit" 7
1 34 2710 1 2425 9.278351 28 80 1 1.7 23.166666666666668 1 "LC" 7
1 26 1980 1 1650 8.939394 26 325 10 2.2 16 1 "Credit" 7
0 26 2050 1 1700 8.941176 31 150 8 2.2 18.333333333333332 1 "Credit" 7
0 26 1930 1 1750 8.857142 33 220 5 1.5 19.166666666666668 1 "Credit" 7
0 26 2050 1 1700 8.941176 31 80 1 2.2 18.166666666666668 1 "LC" 7
end
[/CODE]
Code:
 xtset Banks
Code:


xtlogit Collateraldummy Age Numberofemployees Totalassets Corporationdummy Grossprofit Profitability_pct Leverage_pct g1 g3 Loansize Maturity GDPGrowth_pct Duration Housebank if Loantype=="Credit", re noskip vce (cluster Banks)






Code:


display "pseudo R2"= (e(ll_0)-e(ll))/e(ll_0)


The second and fourth row are devoted to the marginal effects and the first column for the pooled logit.