Hello,

I am facing a crucial problem during the estimation of a random effect in a mixed effect logistic regression from a repeated-cross sectional dataset. In the 2 picture, I have attached here, "Cluster Identity" and "Year of Interview" is taken as random effects (The box marked section). But I am too much confused about what will be the STATA command of this regression since there are 2 random effects at a time here. I have already tried these two types of command. But which one is correct? Or, is there any fault in my commands? If so, then what is that fault, and how did this paper estimate the random effect of the year of interview, and what can be the correct command to estimate the random-effects of both of year of interview and cluster like the picture of the research paper I have attached here?

The commands I have tried till now are:

1. (using cluster before year in the random effects' section of the command)
melogit stunted log_PCI i.Child_Age Child_Sex i.Woman_Age i.Region Residence Drinking_Water Mother_Height Work_of_Mother Work_of_Partner i.Household_Members Under5_Child i.Partner_Edu || Cluster_Identity: || Year_of_int: , or

2. (using year before cluster in the random effects' section of the command)
melogit stunted log_PCI i.Child_Age Child_Sex i.Woman_Age i.Region Residence Drinking_Water Mother_Height Work_of_Mother Work_of_Partner i.Household_Members Under5_Child i.Partner_Edu || Year_of_int: || Cluster_Identity: , or

Please help me. Thanks in advance.

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