Hi Statalist,
I used following data to do poisson modelling:
I found that coefficients for Year are exactly the same.
I'm wondering if there is any explanation for this? why the coefficients are exactly the same?
Regards,
I used following data to do poisson modelling:
Code:
Year M_all_P M_G_High_L1_AUse_RR15_C_adj M_all_L1_AUse_RR15_C_adj 1987 5520001 211.9177 501.407 1988 5633569 216.2777 511.7229 1989 5755082 221.1636 523.2832 1990 5867299 225.8139 534.2859 1991 5973605 230.4786 545.3229 1992 6074767 234.9648 555.9374 1993 6155299 239.3794 566.3824 1994 6236709 243.6229 576.4227 1995 6325682 250.3768 592.4029 1996 6417271 260.5307 616.4274 1997 6502261 273.0925 646.1493 1998 6581291 282.8546 669.2469 1999 6664289 289.1082 684.043 2000 6749964 298.3964 706.0193 2001 6847125 313.2063 741.0602 2002 6952335 336.035 795.0741 2003 7057470 350.3287 828.8935 2004 7158720 364.5615 862.5689 2005 7269239 382.8875 905.9291 2006 7391066 400.3706 947.295 2007 7547610 415.8048 983.8129 2008 7724059 429.8253 1016.986 2009 7915795 440.6469 1042.59 2010 8064259 448.9114 1062.145 2011 8199360 456.432 1079.939 2012 8356709 465.1911 1100.663 2013 5792143 322.43 762.8839
Code:
. poisson M_all_L1_AUse_RR15_C_adj Year, exposure(M_all_P) note: you are responsible for interpretation of noncount dep. variable Iteration 0: log likelihood = -127.10332 Iteration 1: log likelihood = -127.10331 Poisson regression Number of obs = 27 LR chi2(1) = 431.15 Prob > chi2 = 0.0000 Log likelihood = -127.10331 Pseudo R2 = 0.6291 ------------------------------------------------------------------------------------------ M_all_L1_AUse_RR15_C_adj | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------------------+---------------------------------------------------------------- Year | .0191066 .0009262 20.63 0.000 .0172912 .020922 _cons | -47.34115 1.854261 -25.53 0.000 -50.97544 -43.70687 ln(M_all_P) | 1 (exposure) ------------------------------------------------------------------------------------------
Code:
. poisson M_G_High_L1_AUse_RR15_C_adj Year , exposure(M_all_P) note: you are responsible for interpretation of noncount dep. variable Iteration 0: log likelihood = -107.80178 Iteration 1: log likelihood = -107.80178 Poisson regression Number of obs = 27 LR chi2(1) = 182.22 Prob > chi2 = 0.0000 Log likelihood = -107.80178 Pseudo R2 = 0.4580 --------------------------------------------------------------------------------------------- M_G_High_L1_AUse_RR15_C_adj | Coef. Std. Err. z P>|z| [95% Conf. Interval] ----------------------------+---------------------------------------------------------------- Year | .0191066 .0014247 13.41 0.000 .0163142 .0218991 _cons | -48.20238 2.852216 -16.90 0.000 -53.79262 -42.61214 ln(M_all_P) | 1 (exposure) ---------------------------------------------------------------------------------------------
I'm wondering if there is any explanation for this? why the coefficients are exactly the same?
Regards,
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