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Survey of Labour and Income Dynamics
Data Science and Analytics
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About
Exploration of the labour market within the Canadian province of Ontario, using data collected during the 1994 wave of the Survey of Labour and Income Dynamics (SLID). This dataset provides valuable microdata for studying the relationship between hourly wages and key demographic factors. It allows researchers to analyse how variables such as education, age, gender, and language affiliation influence earnings outcomes in a specific regional context, making it particularly useful for applied economic modelling and social science inquiry.
Columns
- wages: Represents the composite hourly wage rate derived from all jobs held by the individual. A significant portion of the records holds missing values for this variable.
- education: The total number of years of formal schooling completed by the survey participant.
- age: The age of the individual recorded in years. The observed range is between 16 and 95 years.
- sex: A categorical factor detailing the gender of the individual, with levels being Female and Male.
- language: A categorical factor indicating the individual's primary language affiliation, with levels including English, French, and Other.
Distribution
The data is structured as a frame containing 7,425 records (rows) and 5 variables (columns). This information is sourced from the public-use files provided by Statistics Canada for the 1994 SLID wave. The structure is suitable for statistical analysis. It is crucial to note that approximately 44% of the records contain missing values (NA) in the wages variable. The respondent base is almost evenly split between the sexes, with 52% Female and 48% Male, and 77% report English as their primary language.
Usage
The dataset is highly relevant for applied regression analysis, particularly focusing on econometric models of wage determination and returns to education. It facilitates studies into income distribution and inequality factors in a regional market. Other core applications include social science research focusing on demographic impacts on employment outcomes and general survey analysis related to income and job dynamics from the mid-1990s.
Coverage
Geographic Scope: The data is restricted solely to the labour market participants residing in the province of Ontario, Canada.
Time Range: The information represents a fixed snapshot from the 1994 wave of the Survey of Labour and Income Dynamics. No subsequent updates are expected for this specific dataset.
Demographic Scope: Participants range widely in age, from 16 to 95 years old. The demographic distribution indicates that 52% of respondents are Female and 48% are Male. English is the dominant language (77%), followed by Other (15%), with French making up the remaining proportion.
License
CC0: Public Domain
Who Can Use It
- Economists and Statisticians: For building robust models of earnings functions and analysing labour supply elasticity.
- Academics and Students: As a high-quality, real-world data source for teaching and illustrating statistical methodology, particularly handling missing data in regression coursework.
- Policy Analysts: To benchmark historical labour conditions in Ontario, examining income gaps across different demographic groups in 1994.
- Social Scientists: To investigate the societal influence of educational attainment and language barriers on economic success.
Dataset Name Suggestions
- Ontario SLID 1994 Wages Microdata
- Labour Market Factors in Ontario (1994)
- Survey of Labour and Income Dynamics (Ontario)
Attributes
Original Data Source: Survey of Labour and Income Dynamics
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