Hi

I ran a RD under different emigration models and the Markovian model with S(t), gamma"(t) and gamma'(t) (with the constrains g"k = g"k-1 and g'k = g'k-1) was the best fitted model. However, most S and gammas parameters either have very high estimates and low SE or very low estimates and low SE. I have 8 primary periods with 27 secondary periods and low recaptures (1 or 2) in 6 of those primary periods. I wonder if the low recaptures are causing this parameters to not be estimated properly?

I cannot figure out why that is or how to interpret those.

Any insight is greatly appreciated!

Thanks in advance

Dani

Real Function Parameters of {Markovian S(t), g"(t), g'(t), c=p(t)}

95% Confidence Interval

Parameter Estimate Standard Error Lower Upper

-------------------------- -------------- -------------- -------------- --------------

1:S 1.0000000 0.0000000 1.0000000 1.0000000

2:S 1.0000000 0.0000000 1.0000000 1.0000000

3:S 0.5926217 0.5800465 0.0129408 0.9938429

4:S 0.7642203 0.7451460 0.9776270E-003 0.9999069

5:S 0.9999998 0.1100125E-003 0.6089753E-297 1.0000000

6:S 0.9999994 0.2055220E-003 0.3053419E-287 1.0000000

7:S 0.6754896 0.5168165 0.0200755 0.9952941

8:Gamma'' 0.1401739E-011 0.0000000 0.1401739E-011 0.1401739E-011

9:Gamma'' 1.0000000 0.0000000 1.0000000 1.0000000

10:Gamma'' 1.0000000 0.0000000 1.0000000 1.0000000

11:Gamma'' 1.0000000 0.0000000 1.0000000 1.0000000

12:Gamma'' 0.4545057 0.2038633 0.1425692 0.8067687

13:Gamma'' 0.8028686 0.1239202 0.4674737 0.9497377

14:Gamma' 0.5746924E-006 0.0000000 0.5746924E-006 0.5746924E-006

15:Gamma' 1.0000000 0.1758454E-005 0.9999966 1.0000034

16:Gamma' 0.3016692 0.1927802 0.0670467 0.7219674

17:Gamma' 0.6415582E-010 0.0000000 0.6415582E-010 0.6415582E-010

18:Gamma' 0.4646890E-004 0.0147712 0.1192507E-274 1.0000000