Hi all,


am trying to analyze the effect on inheritance receipt on private pension savings of households.

I've got serval cross sectional survey data sets from different years containing data of around 2000 households each.

I've managed to to append the different survey data sets which results in an unbalanced panel data set because the repeated cross section surveys suffer from respondent attrition. My data format is long (see datex screenshot)

The dataset allows me to observe the same 2047 households over a period from 2006 to 2010.

I created a dummy variable indicating one if a household received an inheritance as well as variables for their respective pension savings and demographic control variables.


Running an OLS regression for single years delivers significant results for the effect of inheritance receipt on pension savings (see screenshot).

Since I have access to data of the same households over different years is it recommendable to run a panel regression using fixed effects to control for unobserved heterogeneity between the different households?

Since I'm interested in effects of a time variant dummy variable (inheritance received 0 /1 ) and time in-variant predictors (gender, education-level, region of residence) as well is a hybrid model recommendable?

I'm struggling to figure out which model would be appropriate to analyze the the assumed impact of inheritance on private pension savings .



I would be grateful for any advice.




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