can we estimate parameter that is not related to shock?

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can we estimate parameter that is not related to shock?

Postby shuixing » Tue Dec 27, 2016 1:33 pm

dear professor Pfeifer;

I have a question about parameter estimation using bayesian,: can we estimate parameters those are not related to the specified shocks, i.e., if I do not specify a wage stickiness shock, nor do I have wage data, can I use bayesian estimation and other variable data to estimate the wage stickiness parameters?

best
shuixing
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Re: can we estimate parameter that is not related to shock?

Postby jpfeifer » Tue Dec 27, 2016 1:39 pm

In general, the answer is yes. To stay with your example, the value of the wage stickiness parameter will typically have implications for the probability distribution of the other observed variables. However, you should always check whether your observed data is informative for the parameters you want to estimate, i.e. you should use the
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Johannes Pfeifer
University of Cologne
https://sites.google.com/site/pfeiferecon/
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Re: can we estimate parameter that is not related to shock?

Postby shuixing » Wed Dec 28, 2016 10:32 am

jpfeifer wrote:In general, the answer is yes. To stay with your example, the value of the wage stickiness parameter will typically have implications for the probability distribution of the other observed variables. However, you should always check whether your observed data is informative for the parameters you want to estimate, i.e. you should use the
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identification

command

I see, thanks, professor Pfeifer.
shuixing
 
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