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Open empirical issues (Regression) #71

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4 tasks done
melvinhlwong opened this issue Dec 3, 2021 · 1 comment
Open
4 tasks done

Open empirical issues (Regression) #71

melvinhlwong opened this issue Dec 3, 2021 · 1 comment
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1_Must This issue has first order priority and must be solved before adressing issued of lower priority Regression
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@melvinhlwong
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melvinhlwong commented Dec 3, 2021

  • Clustered standard errors
  • Heteroskedastic standard errors in R can#t be computed for weighted regressions
  • Regressions with new dataset for entire population of cells
  • Econometric justification why to use matching despite DiD setup with control variables. We have no parallel trends of treatment and control units. Hence we need to make groups comparable. Needed step. Create plot of Forest cover loss for treatment and control (matched and unmatched) to check parallel trend. @yotaae @Jo-Schie let's talk about this on Tuesday. April 07 2021
@Jo-Schie Jo-Schie changed the title Open empirical issues Open empirical issues (Regression) Apr 9, 2022
@Jo-Schie
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Jo-Schie commented Apr 9, 2022

@melvinhlwong : are these still relevant questions? If so you might put the issue into the IE project into the to-do lane (happens automatically if you add it to the project).

@Jo-Schie Jo-Schie added this to To do in IE Apr 11, 2022
@Jo-Schie Jo-Schie added the 1_Must This issue has first order priority and must be solved before adressing issued of lower priority label Apr 12, 2022
@melvinhlwong melvinhlwong moved this from To do to Ready for review in IE May 9, 2022
@Jo-Schie Jo-Schie moved this from Ready for review to Done in IE May 10, 2022
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1_Must This issue has first order priority and must be solved before adressing issued of lower priority Regression
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