Employment Metric Generation via Multi-Source Data Aggregation
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Solution Overview
Problem
Current methods for measuring employment statistics, such as surveys and unemployment claims, are inaccurate due to underreporting and the presence of untaxed income sources, leading to incomplete and misleading economic indicators.
Innovation Solution
A system and method that aggregates employer payroll data and personal income data from multiple sources to generate a comprehensive employment metric, including income sources absent from traditional payroll records, using an aggregate data repository and data processing services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional employment survey methods are used, then data collection is straightforward, but accuracy deteriorates due to underreporting and untaxed income sources
Solution Approach 1:
The patent combines multiple data sources including employer payroll data, personal income data from financial management applications, and alternative data sources to create a comprehensive employment metric that captures both taxed and untaxed income sources, thereby improving measurement precision while reducing information loss
Solution Approach 2:
The system uses an aggregate data repository as an intermediary to collect, store, and process data from multiple sources including financial management applications, enabling the generation of employment metrics that incorporate information about untaxed income sources without requiring direct reporting from employees
2Productivity
If unemployment claims data are used, then data collection is automated, but reliability deteriorates when workers stop claiming without finding work
Solution Approach 1:
The system merges unemployment claims data with personal income data from financial management applications and employer payroll data, creating a multi-source employment metric that maintains the automation benefits of claims data while improving reliability by cross-validating with income information that reveals actual employment status
3Ease of operation
If payroll reporting from employers is used, then data collection is systematic, but completeness deteriorates due to off-the-books income
Solution Approach 1:
The system merges systematic employer payroll reporting with personal income data from financial management applications, combining the systematic collection advantage with the ability to capture off-the-books income that appears in personal financial records but not in employer payroll data
Solution Approach 2:
The patent adds a new dimension to employment measurement by incorporating personal income data from financial management applications, which provides a different perspective on income sources that complements the traditional employer-based payroll reporting system
Data Source
AI summary
A method for generating an employment metric involves obtaining employer payroll data from multiple business applications and obtaining personal income data from multiple financial management applications, where personal income data indicate at least one income source absent from employer payroll data. The method further involves aggregating employer payroll data and personal income data to obtain aggregated employment data, and generating the employment metric using aggregated employment data.