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From |
David Airey <david.airey@Vanderbilt.Edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: re: how do I generate fake time series data? |

Date |
Fri, 21 Feb 2003 11:12:37 -0600 |

I did not get a response to my question of how one generates fake time series data with a particular lag correlation in it.

In Stata, to generate a matrix with a particular correlation structure, I can type:

. mat C = (1, .5 \ .5, 1)

. corr2data x y, n(2000) corr(C)

. correlate x y

(obs=2000)

| x y

-------------+------------------

x | 1.0000

y | 0.5000 1.0000

I thought time series data with a particular lag meant the correlation was essentially diminished or not present beyond that lag, such that:

t1 t2 t3 t4 t5

t1 1 .7 .2 .1 .0

t2 .7 1 .7 .2 .1

t3 .2 .7 1 .7 .2

t4 .1 .2 .7 1 .7

t5 .0 .1 .2 .7 1

might represent a lag 1 correlation in 5 time points? So I guess I have to enter a large matrix statement (100 x 100), if I want, say 100 time points, just like above?

Before that, I tried the above matrix by:

. clear

. mat C = (1, .7, .2, .1, .0 \ ///

> .7, 1, .7, .2, .1 \ ///

> .2, .7, 1, .7, .2 \ ///

> .1, .2, .7, 1, .7 \ ///

> .0, .1, .2, .7, 1)

. mat list C

symmetric C[5,5]

c1 c2 c3 c4 c5

r1 1

r2 .7 1

r3 .2 .7 1

r4 .1 .2 .7 1

r5 0 .1 .2 .7 1

. corr2data t1 t2 t3 t4 t5, n(1000) corr(C)

matrix not positive definite

r(506);

What does this mean?

-Dave

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