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<font face="Courier New, Courier, monospace">Dear RSiena-Users<br>
<br>
</font><font face="Courier New, Courier, monospace">I jointly
analyze network dynamics and behavioral dynamics. Something that I
am concerned about are the large standard errors on the estimate
of the behavioral rate parameter. Here an example:<br>
<br>
Estimate
Standard Convergence <br>
Error t-ratio <br>
Network Dynamics <br>
1. rate basic rate parameter friends 7.8441 (
1.3870 ) 0.0131 <br>
2. eval outdegree (density) -1.1287 (
0.1991 ) -0.0392 <br>
3. eval reciprocity 1.8075 (
1.1237 ) 0.0220 <br>
4. endow reciprocity -1.7207 (
1.9371 ) -0.0050 <br>
5. eval balance 0.2603 (
0.0565 ) 0.0264 <br>
6. eval same covariate 0.2877 (
0.2220 ) 0.0135 <br>
<br>
Behavior Dynamics<br>
7. rate rate behav period 1 34.9277 (
36.6589 ) -0.0177 <br>
8. eval behavior behav linear shape -0.0327 (
0.0592 ) -0.0194 <br>
9. eval behavior behav quadratic shape 0.0003 (
0.0048 ) -0.0220 <br>
10. eval behavior behav: effect from covariate -0.0096 (
0.1383 ) -0.0588 <br>
<br>
As you see, convergence is good. Even if I exclude the 10th effect
(effect from gender, in many networks I get large s.e. for the
rate on aggressive behavior). I also made the rate of behav
dependent on covariates with no essential effect.<br>
<br>
Are these large s.e.'s of concern?<br>
<br>
Thanks for your help.<br>
<br>
Best,<br>
Philippe<br>
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