Tarefa paper_repro.card_krueger_1994.tab3_r4_ciii.agent

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Pergunta feita ao analista

Card and Krueger (1994), 'Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania', Table 3, row 4, column (iii): New Jersey raised its minimum wage from $4.25 to $5.05 per hour on April 1, 1992, while Pennsylvania's did not change. In the balanced sample of restaurants (those with valid employment data in both survey waves, February-March 1992 before the rise and November-December 1992 after it), estimate the difference between New Jersey and Pennsylvania in the mean change in full-time-equivalent employment per restaurant, where full-time-equivalent employment counts full-time employees and managers in full and each part-time worker as half a full-time worker. Report the difference in differences.

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Trajetória

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1. 0Início

   Card and Krueger (1994), 'Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania', Table 3, row 4, column (iii): New Jersey raised its minimum wage from $4.25 to $5.05 per hour on April 1, 1992, while Pennsylvania's did not change. In the balanced sample of restaurants (those with valid employment data in both survey waves, February-March 1992 before the rise and November-December 1992 after it), estimate the difference between New Jersey and Pennsylvania in the mean change in full-time-equivalent employment per restaurant, where full-time-equivalent employment counts full-time employees and managers in full and each part-time worker as half a full-time worker. Report the difference in differences.

   njmin_balanced (agent)

   The survey of fast-food restaurants (Burger King, KFC, Roy Rogers, Wendy's) in New Jersey and eastern Pennsylvania used by Card and Krueger (1994), 'Minimum Wages and Employment', restricted to the balanced sample: the restaurants with valid employment data in both waves. New Jersey's minimum wage rose from $4.25 to $5.05 per hour on April 1, 1992; Pennsylvania's did not change. Each restaurant was interviewed in February-March 1992 (wave 1, before the rise) and again in November-December 1992 (wave 2, after it). One row per restaurant and wave (two rows per restaurant). Columns: store, a unique restaurant id (the sheet number, plus 1000 for New Jersey restaurants, because one sheet number is used by one restaurant in each state); sheet, the survey's sheet number; wave, 1 or 2; wave2, 1 for the second wave (after the rise) and 0 for the first; nj, 1 for a restaurant in New Jersey and 0 for one in Pennsylvania; fte, full-time-equivalent employment in that wave (full-time employees plus managers and assistant managers plus half the part-time employees, the authors' definition; restaurants closed for good in wave 2 report zero employees); chain, 1 Burger King, 2 KFC, 3 Roy Rogers, 4 Wendy's; co_owned, 1 if company-owned; southj, centralj, northj, 1 for southern, central and northern New Jersey; pa1, pa2, 1 for the northeast suburbs of Philadelphia and for Easton and nearby areas; shore, 1 on the New Jersey shore; wage_st, starting wage in wave 1 ($ per hour); status2, status of the second interview (0 refused, 1 answered, 2 closed for renovations, 3 closed permanently, 4 closed for highway construction, 5 closed by a mall fire).

   file 41a29aec6b489658b20030d044a2b20a5f5a04b871cde41df057afd6013ba587 · frame —

   1. derive {"args":{"column":"emppt","factor":0.5},"name":"pt_half1","op":"scale"}
   2. derive {"args":{"columns":["empft","nmgrs","pt_half1"]},"name":"fte1","op":"sum"}
   3. derive {"args":{"column":"emppt2","factor":0.5},"name":"pt_half2","op":"scale"}
   4. derive {"args":{"columns":["empft2","nmgrs2","pt_half2"]},"name":"fte2","op":"sum"}
   5. filter {"query":"fte1 == fte1 and fte2 == fte2"}
   6. derive {"args":{"column":"state","factor":1000},"name":"state_k","op":"scale"}
   7. derive {"args":{"columns":["sheet","state_k"]},"name":"store","op":"sum"}
   8. rename {"map":{"state":"nj"}}
   9. select {"columns":["store","sheet","chain","co_owned","nj","southj","centralj","northj","pa1","pa2","shore","wage_st","status2","fte1","fte2"]}
   10. reshape_long {"id":["store"],"j":"wave","stubs":["fte"]}
   11. derive {"args":{"cmp":"eq","column":"wave","value":2},"name":"wave2","op":"indicator"}
2. 1Transformação
   njmin_balanced · derive {"args":{"column":"emppt","factor":0.5},"name":"pt_half1","op":"scale"}

   410 → 410 linhas

   Frame antes → depois: 23992890fd66 → 8509ad26d6da
3. 2Transformação
   njmin_balanced · derive {"args":{"columns":["empft","nmgrs","pt_half1"]},"name":"fte1","op":"sum"}

   410 → 410 linhas

   Frame antes → depois: 8509ad26d6da → a007c15bc5d2
4. 3Transformação
   njmin_balanced · derive {"args":{"column":"emppt2","factor":0.5},"name":"pt_half2","op":"scale"}

   410 → 410 linhas

   Frame antes → depois: a007c15bc5d2 → d9ae72d01975
5. 4Transformação
   njmin_balanced · derive {"args":{"columns":["empft2","nmgrs2","pt_half2"]},"name":"fte2","op":"sum"}

   410 → 410 linhas

   Frame antes → depois: d9ae72d01975 → 6328c90ff4e6
6. 5Transformação
   njmin_balanced · filter {"query":"fte1 == fte1 and fte2 == fte2"}

   410 → 384 linhas

   Frame antes → depois: 6328c90ff4e6 → dba78d06a41b
7. 6Transformação
   njmin_balanced · derive {"args":{"column":"state","factor":1000},"name":"state_k","op":"scale"}

   384 → 384 linhas

   Frame antes → depois: dba78d06a41b → bfadb20b20ab
8. 7Transformação
   njmin_balanced · derive {"args":{"columns":["sheet","state_k"]},"name":"store","op":"sum"}

   384 → 384 linhas

   Frame antes → depois: bfadb20b20ab → afb6fd0b0cfe
9. 8Transformação
   njmin_balanced · rename {"map":{"state":"nj"}}

   384 → 384 linhas

   Frame antes → depois: afb6fd0b0cfe → 9e72f29044bc
10. 9Transformação
    njmin_balanced · select {"columns":["store","sheet","chain","co_owned","nj","southj","centralj","northj","pa1","pa2","shore","wage_st","status2","fte1","fte2"]}

    384 → 384 linhas

    Frame antes → depois: 9e72f29044bc → 16ae50f785d3
11. 10Transformação
    njmin_balanced · reshape_long {"id":["store"],"j":"wave","stubs":["fte"]}

    384 → 768 linhas

    Frame antes → depois: 16ae50f785d3 → 124a167bac54
12. 11Transformação
    njmin_balanced · derive {"args":{"cmp":"eq","column":"wave","value":2},"name":"wave2","op":"indicator"}

    768 → 768 linhas

    Frame antes → depois: 124a167bac54 → e28ffa5e707b
13. 12Turno do modelo
    call_9651319dreferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

    Texto visível

    Table 3, row 4, column (iii): the New Jersey minus Pennsylvania mean change in FTE employment in the balanced sample (check.sas: DEMP = EMPTOT2 - EMPTOT, by NJ); with each restaurant observed once in each wave, infer.did_2x2 estimates it in first differences.

    Chamadas pedidas

    • infer.did_2x2

      {
        "cluster": "store",
        "controls": [],
        "dataset": "njmin_balanced",
        "post": "wave2",
        "treated": "nj",
        "y": "fte"
      }

    Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
14. 13Ferramenta
    infer.did_2x2v0.1.0call_47d77ae9decidido pelo modeloreexecutável

    Motivo: Table 3, row 4, column (iii): the New Jersey minus Pennsylvania mean change in FTE employment in the balanced sample (check.sas: DEMP = EMPTOT2 - EMPTOT, by NJ); with each restaurant observed once in each wave, infer.did_2x2 estimates it in first differences.

    Argumentos

    {
      "cluster": "store",
      "controls": [],
      "dataset": "njmin_balanced",
      "level": 0.95,
      "post": "wave2",
      "treated": "nj",
      "y": "fte"
    }

    Figuras call_47d77ae9

    Chave	Valor	Valor bruto	Erro-padrão	IC
    did Difference-in-differences effect on fte	2,75	2.75	1,337731.3377253110290759	0,119773 – 5,38023

    Diagnósticos

    • design = "panel_first_difference"
    • n_obs = 768768
    • se_type = "HC1"
    • parallel_trends = "untestable"
    • n_units = 384384

    Tabelas (1)

    {
      "means": [
        {
          "group": "treated",
          "mean": 20.430582524271845,
          "n": 309,
          "period": "before"
        },
        {
          "group": "treated",
          "mean": 20.89724919093851,
          "n": 309,
          "period": "after"
        },
        {
          "group": "comparison",
          "mean": 23.38,
          "n": 75,
          "period": "before"
        },
        {
          "group": "comparison",
          "mean": 21.096666666666668,
          "n": 75,
          "period": "after"
        }
      ]
    }

    • with two periods parallel trends cannot be tested

    Digests dos dados

    njmin_balanced e28ffa5e707b12a196314f1da511e9d7d8c3bc3fc37fe9363e3e54f493a1fc1e

    sha256 do resultado

    221b882d966d48d7f151a194047f677597d915556fe4badc6275c09530ea5bd4

    Resultado mostrado ao modelo
15. 14Turno do modelo
    call_7ae6aed4referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

    Chamadas pedidas

    • submit_answer (meta-ferramenta)

      {
        "answer": "Estimativa (infer.did_2x2): did = 2,750.",
        "caveats": [],
        "figure_refs": [
          "call_47d77ae9:did"
        ]
      }

    Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
16. 15Guarda
    resposta aceita

    Números encontrados

    2,750

    Sem lastro

    —

    Não citados

    —

    1 nova(s) tentativa(s) restante(s)
17. 16Resposta

    Estimativa (infer.did_2x2): did = 2,750.

    Figuras citadas: call_47d77ae9:did · Parada: answered

    Figura da resposta: call_47d77ae9:did = 2,752.75 (se 1,337731.3377253110290759)
18. 17Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
19. 18Pontuação
    #1figura da resposta escolhidapassouobrigatóriaanswer figure call_47d77ae9:did (infer.did_2x2)
20. 19Pontuação
    #2ferramenta chamadapassouobrigatóriaanswer call is infer.did_2x2
21. 20Pontuação
    #3argumento igualpassouobrigatóriainfer.did_2x2.y = 'fte'
22. 21Pontuação
    #4argumento igualpassouobrigatóriainfer.did_2x2.treated = 'nj'
23. 22Pontuação
    #5argumento igualpassouobrigatóriainfer.did_2x2.post = 'wave2'
24. 23Pontuação
    #6diagnósticopassouobrigatória768 vs 768
25. 24Pontuação
    #7figura da resposta próximapassouobrigatória2.75 vs 2.7499999999999933
26. 25Pontuação
    #8figura da resposta próximapassouregistrada1.337725311 vs 1.3377253110290719
27. 26Pontuação
    #9figura da resposta próximapassouregistrada2.75 vs 2.75
28. 27Pontuação
    #10figura da resposta próximapassouregistrada1.337725311 vs 1.34

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• época 1, tentativa 1passoupontuada(exibindo)

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