I am obsessed with how to write in stata the row P(Asylum=A8) i think its the P value, I have attached a picture for more reference

[Victor Kiondo]

A8) i think its the P value, I have attached a picture for more reference

[Carlo Lazzaro]

Victor:
I'm afraid we do not share the same idea of full reference (as recommended by the FAQ. Thanks)! 😀

[Victor Kiondo]

Cant I even know whats a hint to that because I have no what that P is

[Carlo Lazzaro]

Victor:
it may report the probability that asylum=A8, where A8 is a given level of a given categorical predictor.
However, this is pure guess-work.
If you could provide the full reference of the paper, things would be easier. Thanks.

[Victor Kiondo]

Here is the full reference of the paper Mr Carlo, Crime and Immigration:Evidence from large immigrant waves by Brian Bell,Francesco Fasani and Stephen Machin

[Carlo Lazzaro]

Victor:
the full reference of the article is Bell, Brian, Fasani, Francesco and Machin, Stephen (2013) Crime and immigration: evidence from large immigrant waves. The Review of Economics and Statistics, 95 (4). pp. 1278-1290. ISSN 0034-6535 DOI: 10.1162/REST_a_00337
There's also a working paper, that report different tables (that's why the FAQ ask for full (and unambiguous) reference!)
the "A8 wave" is "... is the large inflow of workers from EU accession countries" (quoted reference: 1278).
Hence the p you're interested in (Table 2; page 1283) expresses the statistical significance of the share of A8 wave members seeking asylum on the overall number of the asylum seekers.

[Carlo Lazzaro]

Victor:
you may want to try:

gen wanted=A8/Asylum

[Victor Kiondo]

Stata's feedback is that option gen not allowed

[Carlo Lazzaro]

Victor:
are you sure?

. set ob 10
Number of observations (_N) was 0, now 10.

. gen Asylum=1000*runiform()

. gen A8=100*runiform()

. gen wanted= A8/ Asylum

. list

     +--------------------------------+
     |   Asylum         A8     wanted |
     |--------------------------------|
  1. | 348.8717   20.47095   .0586776 |
  2. | 266.8857   89.27587   .3345097 |
  3. | 136.6463   58.44658   .4277216 |
  4. | 28.55687   36.97791   1.294887 |
  5. | 868.9333   85.06309   .0978937 |
     |--------------------------------|
  6. | 350.8549   39.13819   .1115509 |
  7. | 71.10509   11.96613    .168288 |
  8. |  323.368   75.42434   .2332462 |
  9. | 555.1031   69.50233   .1252062 |
 10. |  875.991   68.66152   .0783815 |
     +--------------------------------+

.