Hello everybody,
I am currently investigating the effects of a host country's domestic war on donor ODA payments in a dyadic dataset. My basic model has the following form:
ODA = war + population + oil + ... + slave fixed effects (all controll variables are logged and lagged by one year)
and now I want to further enhance the robustness of my results by adding different fixed effects.
Now the signs change with some control variables, e.g. In the above example, oil first entered into the model positively and becomes negative if I additionally control for annual fixed effects, while my independent variable remains significant.
For example, how can I explain this change of sign when adding fixed annual effects and / or donors fixed effects? What causes this? I'm really unexperienced in this field and would be very happy for any help.
Many thanks
Marco
Related Posts with Why do different fixed effects change some coefficients during robustness tests?
Cell Mean ImputationGood day all I am using a stacked cross-sectional dataset, called the South African Post-Apartheid …
Step function for combined line and stacked area plots for competing risks CI functions in stataHello, I need help figuring out how to implement step functions in both line and stacked area plots …
Generating a new variable on non-missing conditionHi I have a small query. I am trying to generate a new variable (X), based on my existing 3 variabl…
Labels (Abc) from variable names (Abc_defghi)Hi all, I've seen a few posts asking questions about labelling variables by their respective names,…
Identifying spells after a specific event in panel datasets.Dear Statalist users: I am using in Stata 13 a panel dataset that contains several education- and l…
Subscribe to:
Post Comments (Atom)
0 Response to Why do different fixed effects change some coefficients during robustness tests?
Post a Comment