accounting for 2 levels of panel data
Posted: 18 Mar 2022, 05:57
hi,
I am trying to estimate a main-effects model with panel data but I have 2 levels of panel data and I am unsure how to account for this.
1) each respondent answered 7 choice questions within a survey - these are related by the surveyID
2) each respondent answered 2 surveys at different time points - these are related by the personID
I have the ID for my overall model set at the personID level so that all responses from the same person are considered panel data. However, I also expect there may be heterogeneity between the same person's responses over the two surveys completed at different time points but I am unsure how to capture this additional layer of heterogeneity. Or should I have the ID for the model set at the surveyID level instead and account for the repeated measures another way?
My choices are unlabelled and my main effects utility functions are as follows:
V[["alt1"]] = asc1 + b_mo * MO_A + b_sc * SC_A + b_ua * UA_A + b_pd * PD_A + b_ad * AD_A
V[["alt2"]] = b_mo * MO_B + b_sc * SC_B + b_ua * UA_B + b_pd * PD_B + b_ad * AD_B
MO, SC, UA, PD and AD all refer to the 5 dimensions of the EQ5D5l questionnaire.
Any guidance would be greatly appreciated
Sarah
I am trying to estimate a main-effects model with panel data but I have 2 levels of panel data and I am unsure how to account for this.
1) each respondent answered 7 choice questions within a survey - these are related by the surveyID
2) each respondent answered 2 surveys at different time points - these are related by the personID
I have the ID for my overall model set at the personID level so that all responses from the same person are considered panel data. However, I also expect there may be heterogeneity between the same person's responses over the two surveys completed at different time points but I am unsure how to capture this additional layer of heterogeneity. Or should I have the ID for the model set at the surveyID level instead and account for the repeated measures another way?
My choices are unlabelled and my main effects utility functions are as follows:
V[["alt1"]] = asc1 + b_mo * MO_A + b_sc * SC_A + b_ua * UA_A + b_pd * PD_A + b_ad * AD_A
V[["alt2"]] = b_mo * MO_B + b_sc * SC_B + b_ua * UA_B + b_pd * PD_B + b_ad * AD_B
MO, SC, UA, PD and AD all refer to the 5 dimensions of the EQ5D5l questionnaire.
Any guidance would be greatly appreciated
Sarah