ors.from.csv: Data used for original analysis

In saharaja/imputeORS: Impute Missing Values in the BLS Occupational Requirements Survey

Description

Raw data that was used to conduct the original analysis described in the full paper.

Usage

ors.from.csv

Format

A data frame with 97,024 rows and 16 variables describing the following for each observation:

estimate_series_new

series identification code

reference_year

year of data collection

ownership_text

exclusively "Civilian" data

industry_text

exclusively "All Workers" data

lower_soc_code

SOC classification code

upper_soc_code

SOC classification code

occupation_text

describes occupation

subcell_text

exclusively "All Workers" data

data_element_text

describes requirement

data_type_text

describes requirement level

estimate_type_text

describes the metric value represents (mean, mode, percent, or percentile)

estimate_type

is value a mean or a standard error?

unit_of_measure

describes units of value (days, hours, percent of day, percentage, or pounds)

reference_group

code specifying reference group

additive_group

code specifying additive group

value

numerical estimate

Details

This dataset was derived from the raw data available on the BLS-ORS website, and formatted to its current state using SAS code.

Source

See https://download.bls.gov/pub/time.series/or/or.txt and https://www.bls.gov/help/hlpforma.htm#OR for further insight into the format of the original data.

saharaja/imputeORS documentation built on Feb. 4, 2022, 12:27 a.m.