# st: Re: impute vs. predict

 From "Rodrigo A. Alfaro" To Subject st: Re: impute vs. predict Date Thu, 1 Mar 2007 14:54:46 -0500

The answer is clear in the manual: -impute- uses the best available set to make the prediction. For example
impute y x1 x2, g(z1)
reg y x1 x2
predict z2
reg y x1
predict z3
reg y x2
predict z4

then z1 will be - y if y is not missing
- z2 if y is missing, but x1 and x2 are not - z3 if y and x2 are missing
- z4 if y and x1 are missing
- missing if y, x1 and x2 are missing.

Rodrigo.

----- Original Message ----- From: "Caleb Southworth" <caleb@uoregon.edu>
To: <statalist@hsphsun2.harvard.edu>
Sent: Thursday, March 01, 2007 3:50 PM
Subject: st: impute vs. predict

```What is the difference between -impute- and -reg- followed by
-predict-?

For example:

. impute t_aflcio_mem temp year if inrange(year,1956,2005),
g(i_aflcio_mem)
44.00% (22) observations imputed

. quietly reg t_aflcio_mem temp year if inrange(year,1956,2005)

. predict yhat if inrange(year,1956,2005)
(option xb assumed; fitted values)
(77 missing values generated)

. list year i_aflcio_mem yhat in 77/87

+----------------------------+
| year   i_aflc~m       yhat |
|----------------------------|
77. | 1956    15707.5   14748.04 |
78. | 1957    15965.1   15062.62 |
79. | 1958    13849.3    14816.2 |
80. | 1959    13701.4   14569.78 |
81. | 1960    13866.6   14336.76 |
|----------------------------|
82. | 1961    13618.2   14103.74 |
83. | 1962    13784.8   14021.69 |
84. | 1963    13904.2   13939.65 |
85. | 1964    14235.3   14286.39 |
86. | 1965    14815.9   14633.13 |
|----------------------------|
87. | 1966    15372.1   15372.03 |

. pwcorr yhat i_aflcio_mem

|     yhat i_aflc~m
-------------+------------------
yhat |   1.0000
i_aflcio_mem |   0.8947   1.0000

OK, so the reg prediction and imputation differ, but why? -eret li-
indicates that -impute- is -regress-.

Thanks!

Caleb
caleb@uoregon.edu
University of Oregon Sociology
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