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  • Creating Attrition (Non-response) Weights for Balanced Panel

    Hi everyone,
    I am working with panel data which consists of three waves (3, 4, and 5) as below. I want to calculate the attrition weight; the inverse of the probability of being successfully reinterviewed in the subsequent wave, conditional on appearing in Wave 3 using a probit model. I have a set of covariates for the probit model, but I am confused about what the dependent variable should be or how to create it. What should be my dependent variable and which codes can I run to achieve the objective? I am not sure whether I have provided enough information but will do so when required. Thanks in advance.


    Code:
    * Example generated by -dataex-. To install: ssc install dataex
    clear
    input long pid float wave
    401011 3
    401011 4
    401013 3
    401014 3
    401014 4
    401014 5
    401016 3
    401016 4
    401016 5
    401017 3
    401017 4
    401018 3
    401018 4
    401018 5
    401019 3
    401020 3
    401020 4
    401020 5
    401021 3
    401021 4
    401022 3
    401022 4
    401023 3
    401023 4
    401023 5
    401024 3
    401024 4
    401024 5
    401026 3
    401026 4
    401027 3
    401028 3
    401028 4
    401028 5
    401030 3
    401030 4
    401030 5
    401031 3
    401032 3
    401032 4
    401032 5
    401033 3
    401034 3
    401035 3
    401035 4
    401035 5
    401036 3
    401036 4
    401036 5
    401037 3
    401037 4
    401037 5
    401038 3
    401038 4
    401038 5
    401039 3
    401039 4
    401040 3
    401040 4
    401040 5
    401041 3
    401042 3
    401042 4
    401043 3
    401043 4
    401043 5
    401044 3
    401044 4
    401044 5
    401045 3
    401045 4
    401045 5
    401046 3
    401046 4
    401047 3
    401047 4
    401048 3
    401048 4
    401048 5
    401050 3
    401050 4
    401050 5
    401052 3
    401052 4
    401052 5
    401056 3
    401056 4
    401056 5
    401060 3
    401064 3
    401064 4
    401064 5
    401065 3
    401065 4
    401065 5
    401066 3
    401066 4
    401066 5
    401068 3
    401068 4
    401068 5
    401069 3
    401070 3
    401070 4
    401070 5
    401071 3
    401073 3
    401073 4
    401073 5
    401075 3
    401075 4
    401075 5
    401076 3
    401076 4
    401077 3
    401077 4
    401077 5
    401079 3
    401079 4
    401080 3
    401080 4
    401080 5
    401083 3
    401084 3
    401084 4
    401084 5
    401085 3
    401085 4
    401085 5
    401087 3
    401087 4
    401087 5
    401088 3
    401088 4
    401088 5
    401089 3
    401089 4
    401089 5
    401091 3
    401091 4
    401091 5
    401092 3
    401095 3
    401095 4
    401095 5
    401097 3
    401097 4
    401097 5
    401101 3
    401101 4
    401101 5
    401102 3
    401102 4
    401103 3
    401104 3
    401104 4
    401105 3
    401106 3
    401106 4
    401106 5
    401108 3
    401108 4
    401108 5
    401111 3
    401111 4
    401111 5
    401112 3
    401112 4
    401112 5
    401114 3
    401114 4
    401114 5
    401115 3
    401115 4
    401115 5
    401118 3
    401118 4
    401119 3
    401120 3
    401120 4
    401120 5
    401123 3
    401123 4
    401123 5
    401124 3
    401124 4
    401124 5
    401125 3
    401125 4
    401129 3
    401129 4
    401129 5
    401130 3
    401133 3
    401133 4
    401133 5
    401135 3
    401135 4
    401135 5
    401136 3
    end

  • #2
    I want to generate a dummy/binary variable that captures individuals (pid) who were resurveyed in subsequent waves 4 & 5, having been surveyed in wave 3. That is those who were present in wave 3 and were reinterviewed in waves 4 and 5. Any code to help me accomplish this? Thanks.

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