I'm currently doing a SVAR model and the command I input for the structural impulse response function is
irf graph sirf, irf(svar)
The variables I have is..

Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input float(quarter Dlop Dlrgdp Dinf Dlexc)
 80            .            .           .            .
 81 -.0036604404   -.04316902    2.503651 -.0008628368
 82   -.08054447  -.028956413   2.0455003  -.020701766
 83    .17828774    .08399487    .8228207    .03753448
 84   -.04705215   -.01137352     1.62337    .06241119
 85   -.10607576  -.022613525   -.7381243    .06047547
 86   -.05337715  -.015737534   -.4310148    .06826341
 87    .05288005    .05860233  -1.1944033   -.04127169
 88   -.08884788   -.01995945  -.48498535   .019032836
 89    .04567003  -.025244713   -.8472849    .02091241
 90  -.009387732  -.009765625  -.19893816    .08882523
 91   -.00683546    .06259918    .7637694   .073213935
 92    -.0800426  -.009399414   -1.834847  -.005073905
 93   .010914087   .007008553   -.6644893  .0083755255
 94    .02732563  -.017912865  -1.3179516   .032039404
 95   -.04581285   .065146446   -.5009662   .013346195
 96   .010084867    .00942421    -.979468    .02453232
 97   .002732754  -.020303726   .16417363    .00676179
 98   -.04061341    .02085972   -.3391408    .07764363
 99  -.023606777    .04980183   -.1692508    .05618048
100 -.0044965744   .011543274  -.27414608    .05679584
101  -.015342474  -.036082268   .06894309   -.05182862
102   .005304575    .01897907  .019889154   -.06399655
103   .035532236    .06870365   -.1504912   -.06899428
104     -.492239   -.02629471    .1398328   -.06177926
105    -.3213961  -.005705833   .28220645    .01131153
106            0 -.0007314682   1.9575448 -.0021862984
107     .1625726    .07444286    .7993081   .011133432
108    .19018364   -.04241371   1.1553462   -.05986404
109    .03786588   .003426552   -.2632084   -.04718626
110   .029469013   -.03904152    -1.80022  .0028271675
111  -.064515114    .09070873   -.4852419   -.03897548
112   -.11970901    -.0380516   -.3382464  -.016815186
113    .02114606   -.03488922  -.05461295  -.017273188
114   -.13296938  -.009062767   -.4068208    .08864713
115  -.069060326    .06791592   -.5988197   -.03344822
116    .25841665   -.05028057  -1.3222104   .016834259
117    .08156276    .02255535 -.016248424     .0415448
118   -.05910301  -.024207115    -.159935   .004276037
119   .072547674    .07222748  -.21699703  -.027472496
120    .03893995   -.02434349  .064706445   -.04696953
121   -.20725727  -.025891304   -.5352536  -.006798387
122     .4835284  -.011367798 -.026493566   -.05305231
123     .1891837     .0831728    .7205932   -.04859436
124    -.4457831    -.0319252    -.624119   .018657684
125   -.07966495   .013855934  -.09950262    .12299943
126    .05793595  -.028817177   -.3029495   .008721352
127   .022568226    .06528664   -.9227142  -.063886166
128    -.1264615    .00262928    -.235843  -.005768895
129     .1171906  -.030332565   .08376388  -.006651998
130   .015793324   .008387566  -.11639638   -.08576798
131   -.05341005    .05217743  -.06327721    .09891403
132   -.05233955   -.03020191    .3614076    .08356285
133 .00018525124  -.012756348   -.1864905   -.01551175
134      -.10499   .016050339  -.26853305    .05739963
135   -.07940865     .0934496  -.16460283    .01007378
136   -.07587433   -.04366684   -.7418476   .015948415
137    .15959454    .00847435  -.26816398  -.031848192
138    .04682732   -.02486992    .5646817   -.05193007
139  -.026546717    .09761047    .2017622  -.016186953
140   .036661625   -.02917862    .9194045  -.032115936
141    .05387354  -.031635284  .033250786   -.04464781
142    -.1004212    .02602291   -.3688772   .010604978
143   .032122374    .07105446   -.1604253 -.0038758516
144     .0757897  -.011328697   -1.267848    .02155018
145    .06210089  -.030052185   .09279093   .018499613
146     .0570159   .029580116    .3933002   -.01876986
147    .11149788    .04030895    .3908738   .003127813
148   -.08976126  -.017730713    1.288968     .0299412
149   -.13125277    .03354168   -.3671627    .06529093
150    .00897336  -.025523186   -.4056301    .05278087
151   .009778738     .0763483  -.06284544   -.04578638
152   -.28532577   -.01279831  -.07036417    .05636358
153  -.064397335   -.02697754   .08619802  -.003437281
154  -.021053314   -.02005291   .04336648    .01630497
155   -.09287786    .06525898   .03437156  -.019602537
156  -.017594099   -.02033615  -.06871117   .022954226
157     .3197281  -.023492813   .22185943   .017477036
158     .2431948   .013630867  -.42495185   .005753994
159    .15230894    .07452679     .635814   .006227255
160    .11157179 -.0006017685   .20604932    .04070139
161   .005619764    -.0603199   .02448303    .06567001
162    .11014366   .008555412    .5073769   .019916296
163  -.007164478    .06538296   -.3121837   .032980442
164   -.12935114  -.005785942    .4127289   -.04024959
165   .024876595   -.04561424    .4161568   .032016277
166   -.05828905   .010370255    -1.38022  -.020018816
167   -.26657724    .06894302  -.54820776  -.010724306
168     .0800693   -.04633999   -.9773316  .0009560585
169     .1861112    .02115917  -.56555325   -.08499837
170   .066512346   -.03976345    .9514818   -.08406281
171  -.007452488    .07687569    .8089243   -.02767825
172     .1587529   -.02139473    2.376654   -.03637564
173   -.16814756   -.04574585   -2.358829  -.006904006
174     .0691607   .011060715   -.3375081    .04578185
175    .03383112   .064902306   -.6932737     -.058622
176    .09015703   .014725685   -2.642757  -.001775503
177    .10330415   -.03930473   2.2560117  -.006779671
178    .12952352  -.018507004    .3781398 .00048577785
179    .05228329    .08005524  .035423394    -.0803665
end
format %tq quarter
However, the structural impulse response functions do not seem to illustrate any shocks to the system and I think it has to do with the fact that my Y-axis is too big. How do I make the y-axis smaller such that I can draw inferences from the shocks? Secondly, how do I check if they are significant?

Thank you.