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  • Propensity Score Matching

    Hello to everyone!

    I wanted to ask for help regarding propensity score matching. I have a sample where I have both treated and control firms. Treated firms experience a shock "Z" at different time. So, I leave the sample of treated firms from the first quarter up until the firm quarter of a shock (to be able to predict initiation of a shock). After I run PSM basing on certain characteristics and ensure that matched firms are from the same industry and within the same year-quarter. Then, to separate matched firms I run the following code:

    gen pair = _id if _treated==0
    replace pair = _n1 if _treated==1
    bysort pair: egen paircount = count(pair)
    drop if paircount !=2

    So, I leave a treated firm with a matched firm that have an ID of nearest neighbourhood (_n1). Now I want to make an artificial assignment of a shock "Z" time to a matched firm (which never experienced a shock). Say, firm A (treated) is matched with firm D. and firm A experiences a shock at t=2005q3 and onward till 2015q4. So, I want to assign "1s" to Firm B from 2005q3 to 2015q4 in the Original Sample, where firms with a shock have whole information. Please, help me to do so.

    Best regards,
    Alberto

  • #2
    Well, you don't tell us what the variable that holds the shock time is. But let's just say it's called shock_quarter.

    Code:
    by pair (_treated), sort: replace shock_quarter = shock_quarter[_N] if _n == 1
    The sorting puts the _treated = 1 observation, which contains the shock date you want, last and the _treated = 0 observation first. So you copy the information from the last observation to the first.

    Comment


    • #3
      Thank you very much for your help!

      Best regards,
      Alberto

      Comment


      • #4
        Sorry for asking you again, but what instead of just one treated and untreated I will have several treated "shock" value that should be the same within the date (fdate) for the case of controls?

        I upload the data below:

        Thank you for your help!

        Code:
        * Example generated by -dataex-. To install: ssc install dataex
        clear
        input str6 gvkey float(fdate shock _pair _id _treated _n1)
        "023978" 172 0  330 75434 0     .
        "023978" 176 0  330 75434 0     .
        "023978" 177 0  330 75434 0     .
        "023978" 178 0  330 75434 0     .
        "023978" 179 0  330 75434 0     .
        "023978" 180 0  330 75434 0     .
        "023978" 181 0  330 75434 0     .
        "023978" 182 0  330 75434 0     .
        "023978" 186 0  330 75434 0     .
        "023978" 187 0  330 75434 0     .
        "023978" 188 0  330 75434 0     .
        "023978" 189 0  330 75434 0     .
        "023978" 191 0  330 75434 0     .
        "023978" 192 0  330 75434 0     .
        "023978" 193 0  330 75434 0     .
        "023978" 194 0  330 75434 0     .
        "023978" 200 0  330 75434 0     .
        "023978" 201 0  330 75434 0     .
        "023978" 204 0  330 75434 0     .
        "023978" 205 0  330 75434 0     .
        "023978" 210 0  330 75434 0     .
        "023978" 213 0  330 75434 0     .
        "023978" 216 0  330 75434 0     .
        "023978" 217 0  330 75434 0     .
        "023978" 219 0  330 75434 0     .
        "023978" 220 0  330 75434 0     .
        "023978" 222 0  330 75434 0     .
        "029968" 173 0  330   330 1 75434
        "029968" 180 1  330   330 1 75434
        "029968" 183 1  330   330 1 75434
        "029968" 184 1  330   330 1 75434
        "029968" 187 1  330   330 1 75434
        "029968" 188 1  330   330 1 75434
        "029968" 189 1  330   330 1 75434
        "029968" 190 1  330   330 1 75434
        "029968" 191 1  330   330 1 75434
        "029968" 192 1  330   330 1 75434
        "029968" 193 1  330   330 1 75434
        "029968" 194 1  330   330 1 75434
        "029968" 195 1  330   330 1 75434
        "029968" 196 1  330   330 1 75434
        "029968" 197 1  330   330 1 75434
        "029968" 198 1  330   330 1 75434
        "029968" 199 1  330   330 1 75434
        "029968" 200 1  330   330 1 75434
        "029968" 201 1  330   330 1 75434
        "029968" 202 1  330   330 1 75434
        "029968" 203 1  330   330 1 75434
        "029968" 204 1  330   330 1 75434
        "029968" 205 1  330   330 1 75434
        "029968" 206 1  330   330 1 75434
        "029968" 211 1  330   330 1 75434
        "006571" 175 0 1519 42289 0     .
        "006571" 180 0 1519 42289 0     .
        "006571" 181 0 1519 42289 0     .
        "006571" 182 0 1519 42289 0     .
        "006571" 183 0 1519 42289 0     .
        "006571" 184 0 1519 42289 0     .
        "006571" 185 0 1519 42289 0     .
        "006571" 186 0 1519 42289 0     .
        "146017" 173 0 1519  1519 1 42289
        "146017" 175 1 1519  1519 1 42289
        "146017" 177 1 1519  1519 1 42289
        "146017" 178 1 1519  1519 1 42289
        "146017" 179 1 1519  1519 1 42289
        "146017" 180 1 1519  1519 1 42289
        "146017" 182 1 1519  1519 1 42289
        "146017" 183 1 1519  1519 1 42289
        "146017" 184 1 1519  1519 1 42289
        "146017" 185 1 1519  1519 1 42289
        "146017" 186 1 1519  1519 1 42289
        "146017" 187 1 1519  1519 1 42289
        "146017" 188 1 1519  1519 1 42289
        "146017" 190 1 1519  1519 1 42289
        "146017" 191 1 1519  1519 1 42289
        "146017" 192 1 1519  1519 1 42289
        "146017" 198 1 1519  1519 1 42289
        "146017" 200 1 1519  1519 1 42289
        "146017" 201 1 1519  1519 1 42289
        "146017" 202 1 1519  1519 1 42289
        "146017" 203 1 1519  1519 1 42289
        "146017" 204 1 1519  1519 1 42289
        "146017" 207 1 1519  1519 1 42289
        "146017" 208 1 1519  1519 1 42289
        "146017" 209 1 1519  1519 1 42289
        "146017" 210 1 1519  1519 1 42289
        "146017" 211 1 1519  1519 1 42289
        "146017" 212 1 1519  1519 1 42289
        "146017" 213 1 1519  1519 1 42289
        "146017" 214 1 1519  1519 1 42289
        "146017" 215 1 1519  1519 1 42289
        "146017" 216 1 1519  1519 1 42289
        "146017" 219 1 1519  1519 1 42289
        "146017" 220 1 1519  1519 1 42289
        "146017" 222 1 1519  1519 1 42289
        "146017" 223 1 1519  1519 1 42289
        end
        format %tq fdate

        Comment


        • #5
          I don't understand the question. In the example you show, there are no missing values of anything to be filled in, except for _n1, which I cannot see any need to fill in. Please repost showing an example of the data that you are starting with, and then hand-work the result for the example and show that as well.

          Comment


          • #6
            Sorry for misunderstanding. The data that I posted is a data after finding matches. Before matches the data with the shock (treated) contained only observations till the first date after the shock and all the data after that period was dropped. After I found a match for the initiation of a shock date, say for firm 330 (treated) the match is the firm 75434 (_n1). So what I want to do know is to insure that the shock date of the matched variable is the same as of a treated variable. Say, if firm A (treated) has smth like:

            Date: Shock:
            2000 0
            2001 0
            2003 1
            2007 1

            I want to replace "0" of matched firm B with the same info of a shock from firm A. Say for firm (control) B the data should look like"


            Date: Shock:
            1998 0
            1999 0
            2000 0
            2001 0
            2003 1
            2007 1

            Please, advise me this issue.

            Comment


            • #7
              I'm sorry, I still don't understand what you mean. Showing me only what A has before and what B has after isn't enough. Please post, using -dataex-, an example including all of the variables that are relevant here, of one A firm with its matched B firm before you do this and then a separate -dataex- showing what the same observations for A and B will look like after. The examples should include the variables that define the match between A and B, and also any that are to be modified in this operation.

              Comment


              • #8
                Sorry for confusion, let me write one more time in more explicit way. This is the first “data” that I got after the identification of a matched sample. The variable _id indicates the ID of a firm; “shock” if a dummy variable – 1 for a year-quarter when the shock occurred and 0 if there are no shock. _pair – is a variable indicating a treatment firm id for which there was a search of a match, it covers both the matched firm and a treatment firm. _treated – is 1 for firms that experience a shock, and 0 otherwise. _n1 – indicates the matched pair for the treated firm. So, the sample below indicates that firm _id=330 experienced a shock in 2005q1, but the available data starts from 2003q2. The matched firm for this treated firm is _id=75434, which never experience a shock. Second, firm _id=1519 experienced a shock in 2003q4, but the available data starts from 2003q2. The matched firm for this treated firm is _id=42289, which never experience a shock.

                Code:
                * Example generated by -dataex-. To install: ssc install dataex
                clear
                input str6 gvkey float(fdate shock _pair _id _treated _n1)
                "023978" 172 0  330 75434 0     .
                "023978" 176 0  330 75434 0     .
                "023978" 177 0  330 75434 0     .
                "023978" 178 0  330 75434 0     .
                "023978" 179 0  330 75434 0     .
                "023978" 180 0  330 75434 0     .
                "023978" 181 0  330 75434 0     .
                "023978" 182 0  330 75434 0     .
                "023978" 186 0  330 75434 0     .
                "023978" 187 0  330 75434 0     .
                "023978" 188 0  330 75434 0     .
                "023978" 189 0  330 75434 0     .
                "023978" 191 0  330 75434 0     .
                "023978" 192 0  330 75434 0     .
                "023978" 193 0  330 75434 0     .
                "023978" 194 0  330 75434 0     .
                "023978" 200 0  330 75434 0     .
                "023978" 201 0  330 75434 0     .
                "023978" 204 0  330 75434 0     .
                "023978" 205 0  330 75434 0     .
                "023978" 210 0  330 75434 0     .
                "023978" 213 0  330 75434 0     .
                "023978" 216 0  330 75434 0     .
                "023978" 217 0  330 75434 0     .
                "023978" 219 0  330 75434 0     .
                "023978" 220 0  330 75434 0     .
                "023978" 222 0  330 75434 0     .
                "029968" 173 0  330   330 1 75434
                "029968" 180 1  330   330 1 75434
                "029968" 183 1  330   330 1 75434
                "029968" 184 1  330   330 1 75434
                "029968" 187 1  330   330 1 75434
                "029968" 188 1  330   330 1 75434
                "029968" 189 1  330   330 1 75434
                "029968" 190 1  330   330 1 75434
                "029968" 191 1  330   330 1 75434
                "029968" 192 1  330   330 1 75434
                "029968" 193 1  330   330 1 75434
                "029968" 194 1  330   330 1 75434
                "029968" 195 1  330   330 1 75434
                "029968" 196 1  330   330 1 75434
                "029968" 197 1  330   330 1 75434
                "029968" 198 1  330   330 1 75434
                "029968" 199 1  330   330 1 75434
                "029968" 200 1  330   330 1 75434
                "029968" 201 1  330   330 1 75434
                "029968" 202 1  330   330 1 75434
                "029968" 203 1  330   330 1 75434
                "029968" 204 1  330   330 1 75434
                "029968" 205 1  330   330 1 75434
                "029968" 206 1  330   330 1 75434
                "029968" 211 1  330   330 1 75434
                "006571" 175 0 1519 42289 0     .
                "006571" 180 0 1519 42289 0     .
                "006571" 181 0 1519 42289 0     .
                "006571" 182 0 1519 42289 0     .
                "006571" 183 0 1519 42289 0     .
                "006571" 184 0 1519 42289 0     .
                "006571" 185 0 1519 42289 0     .
                "006571" 186 0 1519 42289 0     .
                "146017" 173 0 1519  1519 1 42289
                "146017" 175 1 1519  1519 1 42289
                "146017" 177 1 1519  1519 1 42289
                "146017" 178 1 1519  1519 1 42289
                "146017" 179 1 1519  1519 1 42289
                "146017" 180 1 1519  1519 1 42289
                "146017" 182 1 1519  1519 1 42289
                "146017" 183 1 1519  1519 1 42289
                "146017" 184 1 1519  1519 1 42289
                "146017" 185 1 1519  1519 1 42289
                "146017" 186 1 1519  1519 1 42289
                "146017" 187 1 1519  1519 1 42289
                "146017" 188 1 1519  1519 1 42289
                "146017" 190 1 1519  1519 1 42289
                "146017" 191 1 1519  1519 1 42289
                "146017" 192 1 1519  1519 1 42289
                "146017" 198 1 1519  1519 1 42289
                "146017" 200 1 1519  1519 1 42289
                "146017" 201 1 1519  1519 1 42289
                "146017" 202 1 1519  1519 1 42289
                "146017" 203 1 1519  1519 1 42289
                "146017" 204 1 1519  1519 1 42289
                "146017" 207 1 1519  1519 1 42289
                "146017" 208 1 1519  1519 1 42289
                "146017" 209 1 1519  1519 1 42289
                "146017" 210 1 1519  1519 1 42289
                "146017" 211 1 1519  1519 1 42289
                "146017" 212 1 1519  1519 1 42289
                "146017" 213 1 1519  1519 1 42289
                "146017" 214 1 1519  1519 1 42289
                "146017" 215 1 1519  1519 1 42289
                "146017" 216 1 1519  1519 1 42289
                "146017" 219 1 1519  1519 1 42289
                "146017" 220 1 1519  1519 1 42289
                "146017" 222 1 1519  1519 1 42289
                "146017" 223 1 1519  1519 1 42289
                end
                format %tq fdate

                So, what I want to have now is represented in the data below. To be more explicit, what I want is that variable “shock” has ones (1) starting from the same date and until the end of available data for matched firms as in case of corresponding treated firms. So, since firm _id=330 is matched with the firm _id=75434, the variable shock for firm _id 75434 before matching is zero, but what I need is represented in the data below – it is 1 starting from fdate=2005q1 (which is initiation date of a shock for firm 330). For the firm _id=1519 the match is _id=42289. So, “shock” for 42289 should start with “1” from 2003q4 and till the end of available data.
                Code:
                * Example generated by -dataex-. To install: ssc install dataex
                clear
                input str6 gvkey float(fdate shock _pair _id _treated _n1)
                "023978" 172 0  330 75434 0     .
                "023978" 176 0  330 75434 0     .
                "023978" 177 0  330 75434 0     .
                "023978" 178 0  330 75434 0     .
                "023978" 179 0  330 75434 0     .
                "023978" 180 1  330 75434 0     .
                "023978" 181 1  330 75434 0     .
                "023978" 182 1  330 75434 0     .
                "023978" 186 1  330 75434 0     .
                "023978" 187 1  330 75434 0     .
                "023978" 188 1  330 75434 0     .
                "023978" 189 1  330 75434 0     .
                "023978" 191 1  330 75434 0     .
                "023978" 192 1  330 75434 0     .
                "023978" 193 1  330 75434 0     .
                "023978" 194 1  330 75434 0     .
                "023978" 200 1  330 75434 0     .
                "023978" 201 1  330 75434 0     .
                "023978" 204 1  330 75434 0     .
                "023978" 205 1  330 75434 0     .
                "023978" 210 1  330 75434 0     .
                "023978" 213 1  330 75434 0     .
                "023978" 216 1  330 75434 0     .
                "023978" 217 1  330 75434 0     .
                "023978" 219 1  330 75434 0     .
                "023978" 220 1  330 75434 0     .
                "023978" 222 1  330 75434 0     .
                "029968" 173 0  330   330 1 75434
                "029968" 180 1  330   330 1 75434
                "029968" 183 1  330   330 1 75434
                "029968" 184 1  330   330 1 75434
                "029968" 187 1  330   330 1 75434
                "029968" 188 1  330   330 1 75434
                "029968" 189 1  330   330 1 75434
                "029968" 190 1  330   330 1 75434
                "029968" 191 1  330   330 1 75434
                "029968" 192 1  330   330 1 75434
                "029968" 193 1  330   330 1 75434
                "029968" 194 1  330   330 1 75434
                "029968" 195 1  330   330 1 75434
                "029968" 196 1  330   330 1 75434
                "029968" 197 1  330   330 1 75434
                "029968" 198 1  330   330 1 75434
                "029968" 199 1  330   330 1 75434
                "029968" 200 1  330   330 1 75434
                "029968" 201 1  330   330 1 75434
                "029968" 202 1  330   330 1 75434
                "029968" 203 1  330   330 1 75434
                "029968" 204 1  330   330 1 75434
                "029968" 205 1  330   330 1 75434
                "029968" 206 1  330   330 1 75434
                "029968" 211 1  330   330 1 75434
                "006571" 175 1 1519 42289 0     .
                "006571" 180 1 1519 42289 0     .
                "006571" 181 1 1519 42289 0     .
                "006571" 182 1 1519 42289 0     .
                "006571" 183 1 1519 42289 0     .
                "006571" 184 1 1519 42289 0     .
                "006571" 185 1 1519 42289 0     .
                "006571" 186 1 1519 42289 0     .
                "146017" 173 0 1519  1519 1 42289
                "146017" 175 1 1519  1519 1 42289
                "146017" 177 1 1519  1519 1 42289
                "146017" 178 1 1519  1519 1 42289
                "146017" 179 1 1519  1519 1 42289
                "146017" 180 1 1519  1519 1 42289
                "146017" 182 1 1519  1519 1 42289
                "146017" 183 1 1519  1519 1 42289
                "146017" 184 1 1519  1519 1 42289
                "146017" 185 1 1519  1519 1 42289
                "146017" 186 1 1519  1519 1 42289
                "146017" 187 1 1519  1519 1 42289
                "146017" 188 1 1519  1519 1 42289
                "146017" 190 1 1519  1519 1 42289
                "146017" 191 1 1519  1519 1 42289
                "146017" 192 1 1519  1519 1 42289
                "146017" 198 1 1519  1519 1 42289
                "146017" 200 1 1519  1519 1 42289
                "146017" 201 1 1519  1519 1 42289
                "146017" 202 1 1519  1519 1 42289
                "146017" 203 1 1519  1519 1 42289
                "146017" 204 1 1519  1519 1 42289
                "146017" 207 1 1519  1519 1 42289
                "146017" 208 1 1519  1519 1 42289
                "146017" 209 1 1519  1519 1 42289
                "146017" 210 1 1519  1519 1 42289
                "146017" 211 1 1519  1519 1 42289
                "146017" 212 1 1519  1519 1 42289
                "146017" 213 1 1519  1519 1 42289
                "146017" 214 1 1519  1519 1 42289
                "146017" 215 1 1519  1519 1 42289
                "146017" 216 1 1519  1519 1 42289
                "146017" 219 1 1519  1519 1 42289
                "146017" 220 1 1519  1519 1 42289
                "146017" 222 1 1519  1519 1 42289
                "146017" 223 1 1519  1519 1 42289
                end
                format %tq fdate

                Comment


                • #9
                  Now I think I get it. You want to set shock to 1 in the untreated group whenever the date is at or past the date when shock first becomes 1 in the treated group. The following code works in your example and produces the desired results shown:

                  Code:
                  * Example generated by -dataex-. To install: ssc install dataex
                  clear
                  input str6 gvkey float(fdate shock _pair _id _treated _n1)
                  "023978" 172 0  330 75434 0     .
                  "023978" 176 0  330 75434 0     .
                  "023978" 177 0  330 75434 0     .
                  "023978" 178 0  330 75434 0     .
                  "023978" 179 0  330 75434 0     .
                  "023978" 180 0  330 75434 0     .
                  "023978" 181 0  330 75434 0     .
                  "023978" 182 0  330 75434 0     .
                  "023978" 186 0  330 75434 0     .
                  "023978" 187 0  330 75434 0     .
                  "023978" 188 0  330 75434 0     .
                  "023978" 189 0  330 75434 0     .
                  "023978" 191 0  330 75434 0     .
                  "023978" 192 0  330 75434 0     .
                  "023978" 193 0  330 75434 0     .
                  "023978" 194 0  330 75434 0     .
                  "023978" 200 0  330 75434 0     .
                  "023978" 201 0  330 75434 0     .
                  "023978" 204 0  330 75434 0     .
                  "023978" 205 0  330 75434 0     .
                  "023978" 210 0  330 75434 0     .
                  "023978" 213 0  330 75434 0     .
                  "023978" 216 0  330 75434 0     .
                  "023978" 217 0  330 75434 0     .
                  "023978" 219 0  330 75434 0     .
                  "023978" 220 0  330 75434 0     .
                  "023978" 222 0  330 75434 0     .
                  "029968" 173 0  330   330 1 75434
                  "029968" 180 1  330   330 1 75434
                  "029968" 183 1  330   330 1 75434
                  "029968" 184 1  330   330 1 75434
                  "029968" 187 1  330   330 1 75434
                  "029968" 188 1  330   330 1 75434
                  "029968" 189 1  330   330 1 75434
                  "029968" 190 1  330   330 1 75434
                  "029968" 191 1  330   330 1 75434
                  "029968" 192 1  330   330 1 75434
                  "029968" 193 1  330   330 1 75434
                  "029968" 194 1  330   330 1 75434
                  "029968" 195 1  330   330 1 75434
                  "029968" 196 1  330   330 1 75434
                  "029968" 197 1  330   330 1 75434
                  "029968" 198 1  330   330 1 75434
                  "029968" 199 1  330   330 1 75434
                  "029968" 200 1  330   330 1 75434
                  "029968" 201 1  330   330 1 75434
                  "029968" 202 1  330   330 1 75434
                  "029968" 203 1  330   330 1 75434
                  "029968" 204 1  330   330 1 75434
                  "029968" 205 1  330   330 1 75434
                  "029968" 206 1  330   330 1 75434
                  "029968" 211 1  330   330 1 75434
                  "006571" 175 0 1519 42289 0     .
                  "006571" 180 0 1519 42289 0     .
                  "006571" 181 0 1519 42289 0     .
                  "006571" 182 0 1519 42289 0     .
                  "006571" 183 0 1519 42289 0     .
                  "006571" 184 0 1519 42289 0     .
                  "006571" 185 0 1519 42289 0     .
                  "006571" 186 0 1519 42289 0     .
                  "146017" 173 0 1519  1519 1 42289
                  "146017" 175 1 1519  1519 1 42289
                  "146017" 177 1 1519  1519 1 42289
                  "146017" 178 1 1519  1519 1 42289
                  "146017" 179 1 1519  1519 1 42289
                  "146017" 180 1 1519  1519 1 42289
                  "146017" 182 1 1519  1519 1 42289
                  "146017" 183 1 1519  1519 1 42289
                  "146017" 184 1 1519  1519 1 42289
                  "146017" 185 1 1519  1519 1 42289
                  "146017" 186 1 1519  1519 1 42289
                  "146017" 187 1 1519  1519 1 42289
                  "146017" 188 1 1519  1519 1 42289
                  "146017" 190 1 1519  1519 1 42289
                  "146017" 191 1 1519  1519 1 42289
                  "146017" 192 1 1519  1519 1 42289
                  "146017" 198 1 1519  1519 1 42289
                  "146017" 200 1 1519  1519 1 42289
                  "146017" 201 1 1519  1519 1 42289
                  "146017" 202 1 1519  1519 1 42289
                  "146017" 203 1 1519  1519 1 42289
                  "146017" 204 1 1519  1519 1 42289
                  "146017" 207 1 1519  1519 1 42289
                  "146017" 208 1 1519  1519 1 42289
                  "146017" 209 1 1519  1519 1 42289
                  "146017" 210 1 1519  1519 1 42289
                  "146017" 211 1 1519  1519 1 42289
                  "146017" 212 1 1519  1519 1 42289
                  "146017" 213 1 1519  1519 1 42289
                  "146017" 214 1 1519  1519 1 42289
                  "146017" 215 1 1519  1519 1 42289
                  "146017" 216 1 1519  1519 1 42289
                  "146017" 219 1 1519  1519 1 42289
                  "146017" 220 1 1519  1519 1 42289
                  "146017" 222 1 1519  1519 1 42289
                  "146017" 223 1 1519  1519 1 42289
                  end
                  format %tq fdate
                  
                  //    VERIFY SHOCK IS NEVER MISSING AND IS ALWAYS 0 OR 1
                  //    AND IS NEVER 1 IN THE UNTREATED GROUOP
                  assert shock == 0 if missing(_n1)
                  assert missing(_n1) == (_treated == 0)
                  assert inlist(shock, 0, 1)
                  
                  //    DETERMINE FIRST DATE AT WHICH SHOCK == 1
                  by _pair, sort: egen shock_start = min(cond(shock, fdate, .))
                  
                  //    NOW SET SHOCK = 1 IN ANY OBSERVATION LATER THAN THAT
                  replace shock = 1 if fdate >= shock_start
                  drop shock_start
                  sort _pair _treated fdate

                  Comment


                  • #10
                    Thank you very much for the help!

                    Comment

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