@stdlib/datasets-berndt-cps-wages-1985

A random sample of 534 workers from the Current Population Survey (CPS) from 1985.

Usage no npm install needed!

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  import stdlibDatasetsBerndtCpsWages1985 from 'https://cdn.skypack.dev/@stdlib/datasets-berndt-cps-wages-1985';
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README

CPS Wages Data

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A random sample of 534 workers from the Current Population Survey (CPS) from 1985.

Installation

npm install @stdlib/datasets-berndt-cps-wages-1985

Usage

var cps = require( '@stdlib/datasets-berndt-cps-wages-1985' );

cps()

Returns a random sample of 534 workers from the Current Population Survey (CPS) from 1985, including their wages and and other characteristics.

var data = cps();
// returns [{...},{...},...]

Each array element has the following eleven fields:

  • education: number of years of education.
  • south: indicator variable for southern region (1 if a person lives in the South; 0 if a person does not live in the South).
  • gender: gender of the person.
  • experience: number of years of work experience.
  • union: indicator variable for union membership (1 if union member; 0 if not a union member).
  • wage: log-transformed wage (in dollars per hour).
  • age: age (in years).
  • race: ethnicity/race ('white', 'hispanic', and 'other').
  • occupation: occupational category ('management', 'sales', 'clerical', 'service', 'professional', and 'other').
  • sector: sector ('other', 'manufacturing', or 'construction').
  • married: marital status (0 if unmarried; 1 if married).

Notes

  • Based on residual plots, wages were log-transformed to stabilize the variance.

Examples

var Plot = require( '@stdlib/plot' );
var dataset = require( '@stdlib/datasets-berndt-cps-wages-1985' );

var data;
var plot;
var opts;
var x;
var y;
var i;

data = dataset();

// Extract wage data...
x = [];
y = [];
for ( i = 0; i < data.length; i++ ) {
    x.push( data[ i ].age );
    y.push( data[ i ].wage );
}

// Create a plot instance:
opts = {
    'lineStyle': 'none',
    'symbols': 'closed-circle',
    'xLabel': 'Age',
    'yLabel': 'Wage',
    'title': 'Age vs Wage'
};
plot = new Plot( [ x ], [ y ], opts );

CLI

Installation

To use the module as a general utility, install the module globally

npm install -g @stdlib/datasets-berndt-cps-wages-1985

Usage

Usage: berndt-cps-wages-1985 [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.
         --format fmt          Output format: 'csv' or 'ndjson'.

Notes

  • The CLI supports two output formats: comma-separated values (CSV) and newline-delimited JSON (NDJSON). The default output format is CSV.

Examples

$ berndt-cps-wages-1985
education,south,gender,experience,union,wage,age,race,occupation,sector,married
8,0,female,21,1,5.1,35,hispanic,other,manufacturing,0
9,0,female,42,1,4.95,57,white,other,manufacturing,0
12,0,male,1,1,6.67,19,white,other,manufacturing,1
12,0,male,4,1,4,22,white,other,other,1
12,0,male,17,1,7.5,35,white,other,other,0
...

References

  • Berndt, Ernst R. 1991. The Practice of Econometrics. Addison Wesley Longman Publishing Co.

License

The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

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Copyright © 2016-2021. The Stdlib Authors.