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      name:  <unnamed>

       log:  C:\Users\mexmi\Documents\newer web pages\soc_meth_proj3\fall_2018_logs\class1_2018.log

  log type:  text

 opened on:  24 Sep 2018, 11:03:38

 

. describe

 

Contains data from C:\Users\mexmi\Downloads\cps_mar_2000_new.dta

  obs:       133,710                         

 vars:            55                          1 Feb 2009 13:36

 size:    14,574,390                          

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              storage   display    value

variable name   type    format     label      variable label

-----------------------------------------------------------------------------------------------------------

year            int     %8.0g      yearlbl    Survey year

serial          long    %12.0g     seriallbl

                                              Household serial number

hhwt            float   %9.0g      hhwtlbl    Household weight

region          byte    %27.0g     regionlbl

                                              Region and division

statefip        byte    %57.0g     statefiplbl

                                              State (FIPS code)

metro           byte    %27.0g     metrolbl   Metropolitan central city status

metarea         int     %50.0g     metarealbl

                                              Metropolitan area

ownershp        byte    %21.0g     ownershplbl

                                              Ownership of dwelling

hhincome        long    %12.0g     hhincomelbl

                                              Total household income

pubhous         byte    %8.0g      pubhouslbl

                                              Living in public housing

foodstmp        byte    %8.0g      foodstmplbl

                                              Food stamp recipiency

pernum          byte    %8.0g      pernumlbl

                                              Person number in sample unit

perwt           float   %9.0g      perwtlbl   Person weight

momloc          byte    %8.0g      momloclbl

                                              Mother's location in the household

poploc          byte    %8.0g      poploclbl

                                              Father's location in the household

sploc           byte    %8.0g      sploclbl   Spouse's location in household

famsize         byte    %25.0g     famsizelbl

                                              Number of own family members in hh

nchild          byte    %18.0g     nchildlbl

                                              Number of own children in household

nchlt5          byte    %23.0g     nchlt5lbl

                                              Number of own children under age 5 in hh

nsibs           byte    %18.0g     nsibslbl   Number of own siblings in household

relate          int     %34.0g     relatelbl

                                              Relationship to household head

age             byte    %19.0g     agelbl     Age

sex             byte    %8.0g      sexlbl     Sex

race            int     %37.0g     racelbl    Race

marst           byte    %23.0g     marstlbl   Marital status

popstat         byte    %14.0g     popstatlbl

                                              Adult civilian, armed forces, or child

bpl             long    %27.0g     bpllbl     Birthplace

yrimmig         int     %11.0g     yrimmiglbl

                                              Year of immigration

citizen         byte    %31.0g     citizenlbl

                                              Citizenship status

mbpl            long    %27.0g     mbpllbl    Mother's birthplace

fbpl            long    %27.0g     fbpllbl    Father's birthplace

hispan          int     %29.0g     hispanlbl

                                              Hispanic origin

educ99          byte    %38.0g     educ99lbl

                                              Educational attainment, 1990

educrec         byte    %23.0g     educreclbl

                                              Educational attainment recode

schlcoll        byte    %45.0g     schlcolllbl

                                              School or college attendance

empstat         byte    %30.0g     empstatlbl

                                              Employment status

occ1990         int     %78.0g     occ1990lbl

                                              Occupation, 1990 basis

wkswork1        byte    %8.0g      wkswork1lbl

                                              Weeks worked last year

hrswork         byte    %8.0g      hrsworklbl

                                              Hours worked last week

uhrswork        byte    %13.0g     uhrsworklbl

                                              Usual hours worked per week (last yr)

hourwage        int     %8.0g      hourwagelbl

                                              Hourly wage

union           byte    %33.0g     unionlbl   Union membership

inctot          long    %12.0g                Total personal income

incwage         long    %12.0g                Wage and salary income

incss           long    %12.0g                Social Security income

incwelfr        long    %12.0g                Welfare (public assistance) income

vetstat         byte    %10.0g     vetstatlbl

                                              Veteran status

vetlast         byte    %26.0g     vetlastlbl

                                              Veteran's most recent period of service

disabwrk        byte    %34.0g     disabwrklbl

                                              Work disability

health          byte    %9.0g      healthlbl

                                              Health status

inclugh         byte    %8.0g      inclughlbl

                                              Included in employer group health plan last year

himcaid         byte    %8.0g      himcaidlbl

                                              Covered by Medicaid last year

ftotval         double  %10.0g     ftotvallbl

                                              Total family income

perwt_rounded   float   %9.0g                 integer perwt, negative values recoded to 0

yrsed           float   %9.0g                 based on educrec

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Sorted by:  sex

 

. tabulate race

 

                                 Race |      Freq.     Percent        Cum.

--------------------------------------+-----------------------------------

                                White |    113,475       84.87       84.87

                          Black/Negro |     13,626       10.19       95.06

         American Indian/Aleut/Eskimo |      1,894        1.42       96.47

            Asian or Pacific Islander |      4,715        3.53      100.00

--------------------------------------+-----------------------------------

                                Total |    133,710      100.00

 

. tabulate race, miss

 

                                 Race |      Freq.     Percent        Cum.

--------------------------------------+-----------------------------------

                                White |    113,475       84.87       84.87

                          Black/Negro |     13,626       10.19       95.06

         American Indian/Aleut/Eskimo |      1,894        1.42       96.47

            Asian or Pacific Islander |      4,715        3.53      100.00

--------------------------------------+-----------------------------------

                                Total |    133,710      100.00

 

·        Note there are no missing values for race, because missing values were imputed.

 

. tabulate race [fweight=perwt_rounded]

 

                                 Race |      Freq.     Percent        Cum.

--------------------------------------+-----------------------------------

                                White |224,806,952       82.02       82.02

                          Black/Negro | 35,508,668       12.96       94.98

         American Indian/Aleut/Eskimo |  2,847,473        1.04       96.01

            Asian or Pacific Islander | 10,924,728        3.99      100.00

--------------------------------------+-----------------------------------

                                Total |274,087,821      100.00

 

·        Note that applying the weights as an fweight (frequency weight) weights the dataset up to the whole US household population as of March 2000, which was 274 million. Note also that the race percentages are different before and after weighting, because the weights are supposed to account for what groups were under- and over-represented in the CPS.

 

. summarize perwt_rounded

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

-------------+--------------------------------------------------------

perwt_roun~d |    133710    2049.868    1083.244         93      14281

·        Average weight is about 2,000. The CPS is a 1-in-2000 sample of the US household population.

 

. tabulate race

 

                                 Race |      Freq.     Percent        Cum.

--------------------------------------+-----------------------------------

                                White |    113,475       84.87       84.87

                          Black/Negro |     13,626       10.19       95.06

         American Indian/Aleut/Eskimo |      1,894        1.42       96.47

            Asian or Pacific Islander |      4,715        3.53      100.00

--------------------------------------+-----------------------------------

                                Total |    133,710      100.00

 

. tabulate race, nolab

 

       Race |      Freq.     Percent        Cum.

------------+-----------------------------------

        100 |    113,475       84.87       84.87

        200 |     13,626       10.19       95.06

        300 |      1,894        1.42       96.47

        650 |      4,715        3.53      100.00

------------+-----------------------------------

      Total |    133,710      100.00

 

·        Note that the values of race (and the values of categorical variables in general) are stored as numbers, and the labels are added on top.

 

. codebook race

 

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race                                                                                             Race

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                  type:  numeric (int)

                 label:  racelbl

 

                 range:  [100,650]                    units:  10

         unique values:  4                        missing .:  0/133710

 

            tabulation:  Freq.   Numeric  Label

                        1.1e+05      100  White

                         13626       200  Black/Negro

                          1894       300  American Indian/Aleut/Eskimo

                          4715       650  Asian or Pacific Islander

 

. summarize incwage

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

-------------+--------------------------------------------------------

     incwage |    103226    19462.59    28843.38          0     364302

 

. summarize inctot

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

-------------+--------------------------------------------------------

      inctot |    103226     26011.4    32061.48     -24998     425510

 

 

·        Wage income cannot be less than zero, but total income can. Note also that not all the 133K people in the CPS had income values. Why? Because children were not asked the income question. See the ipums CPS documentation for who was in the universe for each question. Note also that max income is less than you would expect it to be in a sample this large. Why? Because the CPS top-codes income to protect individual identities. See the ipums CPS documentation for that as well.

 

. tabulate incwage

 

   Wage and |

     salary |

     income |      Freq.     Percent        Cum.

------------+-----------------------------------

          0 |     35,825       34.71       34.71

          1 |          7        0.01       34.71

          5 |         15        0.01       34.73

          7 |          1        0.00       34.73

          8 |          1        0.00       34.73

         10 |          1        0.00       34.73

         12 |          2        0.00       34.73

         18 |          1        0.00       34.73

         20 |         10        0.01       34.74

         21 |          2        0.00       34.74

         28 |          2        0.00       34.75

         30 |          5        0.00       34.75

         31 |          1        0.00       34.75

         34 |          4        0.00       34.76

         35 |          5        0.00       34.76

         36 |          1        0.00       34.76

         40 |          8        0.01       34.77

         44 |          1        0.00       34.77

         45 |          4        0.00       34.77

         46 |          3        0.00       34.78

--Break--

r(1);

 

·        Tabulating income is not a productive thing to do.

 

. summarize age

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

-------------+--------------------------------------------------------

         age |    133710    35.17964    22.21722          0         90

 

·        Age is topcoded to 90.

 

. summarize yrsed

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

-------------+--------------------------------------------------------

       yrsed |    103226    12.77328    3.156011          0         17

 

. tabulate age if yrsed==.

 

                Age |      Freq.     Percent        Cum.

--------------------+-----------------------------------

       Under 1 year |      1,713        5.62        5.62

                  1 |      1,932        6.34       11.96

                  2 |      1,950        6.40       18.35

                  3 |      1,939        6.36       24.71

                  4 |      1,965        6.45       31.16

                  5 |      1,998        6.55       37.71

                  6 |      2,059        6.75       44.47

                  7 |      2,176        7.14       51.61

                  8 |      2,163        7.10       58.70

                  9 |      2,243        7.36       66.06

                 10 |      2,202        7.22       73.28

                 11 |      2,083        6.83       80.12

                 12 |      2,035        6.68       86.79

                 13 |      2,047        6.71       93.51

                 14 |      1,979        6.49      100.00

--------------------+-----------------------------------

              Total |     30,484      100.00

 

·        The education question was not asked of children (so their values are missing, which Stata represents via “.”). Note also the double equal sign after the if.

 

. sort sex

 

. by sex: summarize yrsed if age>=25 & age <=34

 

-----------------------------------------------------------------------------------------------------

-> sex = Male

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

-------------+--------------------------------------------------------

       yrsed |      9027    13.31212    2.967666          0         17

 

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-> sex = Female

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

-------------+--------------------------------------------------------

       yrsed |      9511    13.55657    2.854472          0         17

 

·        Is the gender gap in educational attainment a real difference? Is it significant? What does significance mean? These are questions we will endeavor to answer.

 

 

. ttest yrsed if age>=25 & age<=34, by(sex)

 

Two-sample t test with equal variances

------------------------------------------------------------------------------

   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]

---------+--------------------------------------------------------------------

    Male |    9027    13.31212    .0312351    2.967666    13.25089    13.37335

  Female |    9511    13.55657    .0292693    2.854472    13.49919    13.61394

---------+--------------------------------------------------------------------

combined |   18538    13.43753    .0213921    2.912627     13.3956    13.47946

---------+--------------------------------------------------------------------

    diff |           -.2444469    .0427623               -.3282649   -.1606289

------------------------------------------------------------------------------

    diff = mean(Male) - mean(Female)                              t =  -5.7164

Ho: diff = 0                                     degrees of freedom =    18536

 

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0

 Pr(T < t) = 0.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 1.0000

 

 

·        T-test rejects the null hypothesis that in the US as a whole, men and women age 25-34 could have equal education. The difference may be small, but it is statistically significant, and we will talk more about what that means.

 

. log close

      name:  <unnamed>

       log:  C:\Users\mexmi\Documents\newer web pages\soc_meth_proj3\fall_2018_logs\class1_2018.log

  log type:  text

 closed on:  24 Sep 2018, 13:03:32

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