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Basic Time Series in Stata: Finite Distributed Lag Models

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We cover the following topics:
1. How to estimate the FDL model using OLS and the lag operator in Stata.
2. Testing and calculating the Long Run Propensity.
3. Using the Information Criterion to optimize lag length.
4. Creating a foreach loop in Stata to cycle through multiple lag orders, exporting the information criterion to Excel using 'putexcel'.
//Data command//
freduse TB3MS FEDFUNDS
gen t=_n
asset t
//Loop Commands//
putexcel set results1
foreach i of num 1/20 {
reg D.TB3MS L(0/`i').D.FEDFUNDS
estat ic
putexcel A`i' =matrix(r(S))
}
Textbook Link
Introductory Econometrics for Finance
Amazon link for Baum's "Introduction to Stata Programming"
1. How to estimate the FDL model using OLS and the lag operator in Stata.
2. Testing and calculating the Long Run Propensity.
3. Using the Information Criterion to optimize lag length.
4. Creating a foreach loop in Stata to cycle through multiple lag orders, exporting the information criterion to Excel using 'putexcel'.
//Data command//
freduse TB3MS FEDFUNDS
gen t=_n
asset t
//Loop Commands//
putexcel set results1
foreach i of num 1/20 {
reg D.TB3MS L(0/`i').D.FEDFUNDS
estat ic
putexcel A`i' =matrix(r(S))
}
Textbook Link
Introductory Econometrics for Finance
Amazon link for Baum's "Introduction to Stata Programming"
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