You don't say what kind of analysis you have in mind, so it's very
hard to know how to handle it. However, if you are thinking of models,
I would treat this as nested panels, which -xtmixed- and -xtmelogit-,
among others, can handle.
eg, if you have -country-, -quarter-, a continuous outcome -depvar-,
and some independent variables <indvars>
xtmixed depvar <indvars> || country: || quarter:
would account for multiple obs per quarter, and multiple quarters per
country. Though maybe I'm missing something.
hth,
Jeph
kokootchke wrote:
Do you guys know what one can do about multiple observations for one individual in one same period in a panel?
A standard panel would be like this (with a bunch of other variables that are unique for that individual country and time period):
Argentina 1990:1
Argentina 1990:2
Argentina 1990:3
Argentina 1990:4
Argentina 1991:1
...
Argentina 2008:3
Argentina 2008:4
Brazil 1990:1
Brazil 1990:2
Brazil 1990:3
...
Brazil 2008:3
Brazil 2008:4
Colombia 1990:1
Colombia 1990:2
Colombia 1990:3
...
...
Now, imagine I have the following:
Argentina 1990:1
Argentina 1990:1
Argentina 1990:1
Argentina 1990:2
Argentina 1990:3
Argentina 1990:4
Argentina 1990:4
Argentina 1990:4
Argentina 1990:4
Argentina 1991:1
Argentina 1991:1
...
Argentina 2008:3
Argentina 2008:4
Argentina 2008:4
Brazil 1990:1
Brazil 1990:2
Brazil 1990:2
Brazil 1990:3
Brazil 1990:3
Brazil 1990:3
Brazil 1990:3
...
...
You see the difference? Suppose that for each repeated individual (country) and time period, I have different measurings of some variable.
More specifically, my problem is one of selection in which countries don't issue debt bonds in some periods, but when they do issue, they may issue MULTIPLE bonds, each with a different price, etc.
What can I do about this?
Thank you very much in advance!
Regards,
Adrian
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