Modeling rates of eviction

[Luis Mijares Castaneda]

Hello, I have a survey dataset with five waves. I want to estimate how baseline variables predict the number of post-baseline home evictions. I restricted the dataset to participants who were present in all five waves of the survey. Below are the frequency distributions for the number of evictions that occurred after baseline in this population.

I would like to create a variable that measures the annualized incidence of home evictions. How should I calculate this variable? Once it has been created, would a Poisson regression be the appropriate model to estimate the association between the baseline predictors and the annualized incidence of evictions?

 tabulation of eviction_Y1  

 Any eviction |
   in wave Y1 |      Freq.     Percent        Cum.
--------------+-----------------------------------
0.No eviction |        517       99.23       99.23
   1.Eviction |          4        0.77      100.00
--------------+-----------------------------------
        Total |        521      100.00

-> tabulation of eviction_Y2  

 Any eviction |
   in wave Y2 |      Freq.     Percent        Cum.
--------------+-----------------------------------
0.No eviction |        512       99.03       99.03
   1.Eviction |          5        0.97      100.00
--------------+-----------------------------------
        Total |        517      100.00

-> tabulation of eviction_Y3  

 Any eviction |
   in wave Y3 |      Freq.     Percent        Cum.
--------------+-----------------------------------
0.No eviction |        517       98.85       98.85
   1.Eviction |          6        1.15      100.00
--------------+-----------------------------------
        Total |        523      100.00

-> tabulation of eviction_Y4  

 Any eviction |
   in wave Y4 |      Freq.     Percent        Cum.
--------------+-----------------------------------
0.No eviction |        516       98.66       98.66
   1.Eviction |          7        1.34      100.00
--------------+-----------------------------------
        Total |        523      100.00

[Carlo Lazzaro]

Luis:
1) Poisson is the way to go;
2) if you are dealinh with survey data, you should prefix -poisson- with -svy:-.