/*======================================================================
 Count Data Models: file = FERTIL1.Raw
 Example 17.3 (Wooldridge, p. 549) 
*/======================================================================

? Note: Use a different project file.

Read  ; Nobs = 2725 
	; Nvar = 16 
	; file = crime1.dat
	; Names = 2 $

/*
narr86    nfarr86   nparr86   pcnv      avgsen    tottime   ptime86   qemp86   
inc86     durat     black     hispan    born60    pcnvsq    pt86sq    inc86sq  
*/

skip $

? Poisson regression 

Namelist ; X5 = pcnv, avgsen, tottime, ptime86, qemp86, inc86, black, hispan, born60$

Poisson ; Lhs = narr86 
 	  ; Rhs = One, x5 
	  ; Marginal effect $

? Please refer to example program, Poisson.lim for more details.

/*======================================================================
 Count Data Models: file = FERTIL1.Raw
 Ex. 17.12 (Wooldridge, p. 569) 
*/======================================================================

? Note: Use a different project file.
Read  ; Nobs = 1129 
	; Nvar = 27 
	; file = c:\econm\FERTIL1.dat
	; Names = 4 $

Create ; age2 = age*age $
/*
year      educ      meduc     feduc     age       kids      black     east     
northcen  west      farm      othrural  town      smcity    y74       y76      
y78       y80       y82       y84       agesq     y74educ   y76educ   y78educ  
y80educ   y82educ   y84educ   
*/

Skip $

Namelist ; X6 = educ, age, age2, black, east, northcen, west, farm, 
        othrural, town, smcity, y74, y76, y78, y80, y82, y84 $
Poisson ; Lhs = kids 
 	  ; Rhs = One, x6 
	  ; Marginal effect $