This may be a basic econometrics question but I cannot find an answer. I know under what conditions a parametric test is preferable, but shouldn't the two techniques still give at least somewhat similar results?
In my study I have 500 subjects who took part in a decision-making experiments where they choose to "give" or "not give" in a set of scenarios. Thus, my dependent variable is binary and I am interested to see whether in scenario B more people gave compared to scenario A.
In scenario A, 84.8% of people gave; in scenario B, 85.4% of people gave. Yet, a tab chi2 tells me that the difference is significant [Pearson chi2(1) = 54.3799; n = 500]. However, if I run a xtreg fixed effects the coefficient for scenario B is obviously not significant.
I am asked to report both results, but don't understand how to reconcile them, or explain why reporting both wouldn't make sense.
Thanks!
Related Posts with Can parametric and non-parametric tests lead to different results?
Generalized Difference-in-differences with two-way fixed effect modelDear researchers, I have used the following model: Code: xtreg GG i.Event##(c.centered_Age c.cente…
Unbalanced Panel data xtlogit Hi all, I have unbalanced panel data from 2010-2017 of people who participated in a screening prog…
String variablesHi STATALIST, I have a string variable and detected ga68 out of it by: Code: gen ga68 = (strpos(…
Determining annual percent change in binary variableHi there, I was working with a large dataset and I am working with trends over time. I was trying t…
foreach rename loop keeps stopping after one loop due to variable no longer in varlistI am writing a foreach loop to iterate over each variable, use its label as the new variable name, a…
Subscribe to:
Post Comments (Atom)
0 Response to Can parametric and non-parametric tests lead to different results?
Post a Comment