* The first thing you need to do, ALWAYS, is start a log. Simple text logs, .log, will work best for copying material into word processing programs.

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      name:  <unnamed>

       log:  C:\Users\mexmi\Documents\newer web pages\soc_meth_proj3\Soc180B_spr2019_logs\class1_l

> og.log

  log type:  text

 opened on:   2 Apr 2019, 15:20:32

 

. *class actually starts here. The describe command yields a brief description of every variable in the dataset.

 

. describe

 

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

  obs:       133,710                         

 vars:            55                          1 Feb 2009 13:36

 size:    14,574,390                         

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

              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

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

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 that there are no missing values in the variable race (all 133,710 subjects in this dataset have 1 of 4 races). The reason: missing values got imputed by the Bureau of Labor Statistics.

 

 

. tabulate sex

 

        Sex |      Freq.     Percent        Cum.

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

       Male |     64,791       48.46       48.46

     Female |     68,919       51.54      100.00

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

      Total |    133,710      100.00

 

. 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

*In the syntax above, “perwt_rounded” is the name of a weight variable in the dataset, and “fweight=” is Stata syntax for “treat this weight as a frequency weight.” The mean value of weights is about 2000, which indicates that the CPS data is approximately a 1-in-2000 sample of the household population of the US.

 

 

. summarize perwt_rounded

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

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

perwt_roun~d |    133710    2049.868    1083.244         93      14281

 

 

 

. 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, nolabel

 

       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 even categorical variables like race are coded numerically, and the text such as “White” is attached to the number. When we tabulate race without the labels, we get a less useful display above.

 

 

. summarize age

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

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

         age |    133710    35.17964    22.21722          0         90

 

* Age is topcoded to protect individual identities. Topcoding also happens for income. If you look up the variable age in ipums.cps, you will see an explanation of the sample universe, top codes, and other details.

 

 

. tabulate age

 

                Age |      Freq.     Percent        Cum.

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

       Under 1 year |      1,713        1.28        1.28

                  1 |      1,932        1.44        2.73

                  2 |      1,950        1.46        4.18

                  3 |      1,939        1.45        5.63

                  4 |      1,965        1.47        7.10

                  5 |      1,998        1.49        8.60

                  6 |      2,059        1.54       10.14

                  7 |      2,176        1.63       11.77

                  8 |      2,163        1.62       13.38

                  9 |      2,243        1.68       15.06

                 10 |      2,202        1.65       16.71

                 11 |      2,083        1.56       18.27

                 12 |      2,035        1.52       19.79

                 13 |      2,047        1.53       21.32

                 14 |      1,979        1.48       22.80

                 15 |      2,046        1.53       24.33

                 16 |      1,965        1.47       25.80

                 17 |      1,998        1.49       27.29

                 18 |      1,847        1.38       28.67

                 19 |      1,826        1.37       30.04

                 20 |      1,722        1.29       31.33

                 21 |      1,687        1.26       32.59

                 22 |      1,638        1.23       33.81

                 23 |      1,622        1.21       35.03

                 24 |      1,662        1.24       36.27

                 25 |      1,666        1.25       37.52

                 26 |      1,640        1.23       38.74

                 27 |      1,726        1.29       40.03

                 28 |      1,801        1.35       41.38

                 29 |      1,995        1.49       42.87

                 30 |      1,907        1.43       44.30

                 31 |      1,991        1.49       45.79

                 32 |      1,890        1.41       47.20

                 33 |      1,898        1.42       48.62

                 34 |      2,024        1.51       50.13

                 35 |      2,134        1.60       51.73

                 36 |      2,123        1.59       53.32

                 37 |      2,099        1.57       54.89

                 38 |      2,064        1.54       56.43

                 39 |      2,228        1.67       58.10

                 40 |      2,190        1.64       59.74

                 41 |      2,115        1.58       61.32

                 42 |      2,137        1.60       62.92

                 43 |      2,091        1.56       64.48

                 44 |      2,114        1.58       66.06

                 45 |      2,118        1.58       67.64

                 46 |      1,939        1.45       69.10

                 47 |      1,957        1.46       70.56

                 48 |      1,827        1.37       71.93

                 49 |      1,767        1.32       73.25

                 50 |      1,865        1.39       74.64

                 51 |      1,802        1.35       75.99

                 52 |      1,825        1.36       77.35

                 53 |      1,695        1.27       78.62

                 54 |      1,301        0.97       79.59

                 55 |      1,323        0.99       80.58

                 56 |      1,324        0.99       81.57

                 57 |      1,304        0.98       82.55

                 58 |      1,128        0.84       83.39

                 59 |      1,129        0.84       84.24

                 60 |      1,154        0.86       85.10

                 61 |      1,051        0.79       85.89

                 62 |      1,073        0.80       86.69

                 63 |        938        0.70       87.39

                 64 |        952        0.71       88.10

                 65 |      1,014        0.76       88.86

                 66 |        869        0.65       89.51

                 67 |        926        0.69       90.20

                 68 |        908        0.68       90.88

                 69 |        904        0.68       91.56

                 70 |        913        0.68       92.24

                 71 |        885        0.66       92.90

                 72 |        770        0.58       93.48

                 73 |        797        0.60       94.08

                 74 |        814        0.61       94.68

                 75 |        796        0.60       95.28

                 76 |        704        0.53       95.81

                 77 |        646        0.48       96.29

                 78 |        687        0.51       96.80

                 79 |        602        0.45       97.25

                 80 |        514        0.38       97.64

                 81 |        476        0.36       97.99

                 82 |        425        0.32       98.31

                 83 |        427        0.32       98.63

                 84 |        325        0.24       98.87

                 85 |        306        0.23       99.10

                 86 |        248        0.19       99.29

                 87 |        209        0.16       99.44

                 88 |        172        0.13       99.57

                 89 |        155        0.12       99.69

90 (90+, 1988-2002) |        416        0.31      100.00

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

              Total |    133,710      100.00

 

. sort sex

 

. by sex: summarize yrsed if age>24 & age<35

 

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

-> sex = Male

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

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

       yrsed |      9027    13.31212    2.967666          0         17

 

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

-> sex = Female

 

    Variable |       Obs        Mean    Std. Dev.       Min        Max

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

       yrsed |      9511    13.55657    2.854472          0         17

 

 

*Young women appear to have more education in the CPS data. Is the difference statistically significant? What we mean here is: Is the difference between men and women’s education in the CPS, a difference of about 0.24 years, a difference that is consistent with men and women in the US having equal education or not? The Ttest below, yielding a T-statistic of -5.7 and P value of 0.0000 says NO. This difference we observe in the data was very unlikely to have emerged from chance under a null hypothesis of no difference in the US between the two groups.

 

 

. ttest yrsed if age>24 & age<35, 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

 

. log close

      name:  <unnamed>

       log:  C:\Users\mexmi\Documents\newer web pages\soc_meth_proj3\Soc180B_spr2019_logs\class1_l

> og.log

  log type:  text

 closed on:   2 Apr 2019, 16:31:26

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