In IMPLAN, there are four types of income that can be identified: Labor Income, household income, disposable income, and household spending. This article breaks down the differences and how IMPLAN data compares to government estimates.
First off, let’s define each type of income found in IMPLAN.
Total Personal Income in IMPLAN (Region Details > Regions Overview) is based on the Bureau of Economic Analysis (BEA) definition of Personal Income. BEA Personal Income includes imputed income, adjustments for misreporting and under-reporting, and employment paid benefits. This is not comparable to money income as defined by the Census Bureau. Learn more about Personal Income vs. Money Income. Personal Income is all household income receipts except from commodity sales and borrowing.
Labor Income is the sum of Employee Compensation (wages and benefits) and Proprietor Income.
Household income represents the income from all sources received by residents, including total wages & salaries, benefits, interest, dividends, & transfer payments, less all contributions to Social Security/Medicare. Labor Income less payroll taxes and in-commuting income is included in household income in addition to all non-employment sources of household income.
Disposable Household Income
Disposable income is household income less personal taxes. Disposable Income is money that is available to be saved or spent.
Household spending is what is actually expended by households on goods and services less personal taxes and savings.
WHERE TO FIND INCOME IN IMPLAN:
Total Personal Income can be found in IMPLAN in the Region Details > Regions Overview screen.
Personal Income can be calculated by Household Income Group from Region Details > Social Accounts > IxC Social Accounting Matrix > Detailed IxC SAM. From the Household Income column totals, subtract Commodity sales (payments to Household rows by the Commodity column as well as payments to Household, "Commodity Trade" rows by the Foreign Trade column) and borrowing (transfers from the Capital column to the Household, “Borrowing or Saving” rows).
Labor Income can be found in the IMPLAN Region Details in the Study Area Data tab. Within the Industry Detail table you will find the two forms of Labor Income, Employee Compensation and Proprietor Income, by Industry. Within the Industry Summary table you will find Labor Income as a total and Labor Income per Worker by Industry.
In the Social Accounting Matrix (SAM) you will find Employee Compensation and Proprietor Income represented as columns and rows. The columns reflect the allocation of each of these forms of income to each row, largely to Households. The rows reflect all sources of Employee Compensation and Proprietor Income. Because Labor Income is only earned from Industries, you’ll only find a value in the Industry column of these rows.
Household Income can be calculated as the sum of all nine Household Income column totals from the Social Accounting Matrix. Each Household Income row here shows all the sources of Household Income, which in large part will be Labor Income.
Disposable Household Income
Disposable Household Income can be calculated as Household Income as described above less the payments to government rows within the Household Income columns.
Household Spending can be calculated as the sum of payments to the Commodity total row and Foreign and Domestic Trade rows within each Household Income column in Aggregate SAM. These payments reflect Household Spending on goods and services sourced from within the Region (payments to Commodity row) and outside of the Region (payments to trade rows).
Average Household Income
Average Household Income can be calculated as Total Household Income (for a given group) divided by Total Households (in the given group), found Region Details > Study Area Data > Area Demographics, Households table.
Average Household Savings
You can find the average savings rate for each Household Income group in your Region by looking in the Region Details in
Social Accounts >
IxC Social Accounting Matrix >
Aggregate IxC SAM
Then scroll to row 24 - Capital. You can divide the amount shown for each Household Income group column by the total for that Household Income group column to get an effective savings rate for each group. Note you will usually only see savings at higher earning levels.
WHY MIGHT AVERAGE HOUSEHOLD INCOME NOT FALL WITHIN THE SPECIFIED RANGE?
IMPLAN lists each Household Income Group by Money Income bracket. Therefore, you may calculate average Household Income per Household in a given group to be larger than the range listed for the group. The difference between income definitions would be the main explanation for mismatches where average Household Income does not fall within the specified range. Also, IMPLAN's distribution mechanism for types of income by Household Income Group (based on the Consumer Expenditure Survey combined with Census household counts and BEA data on Personal Income) might create some misalignment as well, as we are not directly obtaining data on type of income by Household group by Region.
UNDERSTANDING THEIR RELATIONSHIP:
TWO EVENT TYPES:
To model spending of individuals, there are two Event Types in IMPLAN.
Labor Income Events
Labor Income Events are most appropriate to use when an analyst intends to model a change in labor payments isolated from an industry’s production. When creating a Labor Income Event in IMPLAN, analysts may specify whether the income is earned by employees (wage and salary), by proprietors, or some combination of the two. However, they cannot specify the specific household income categories which will receive that income.
Labor Income Event Value should include all new labor payments in the Region (local workers and in-commuters), including their
- Payroll tax
- Personal tax
Household Income Events
Household Income Events are most appropriate to use when an analyst intends to model changes in household income that are independent of both production and payroll. In Household Income Events (unlike Labor Income Events), you can specify the specific income group(s) receiving the income into one of nine categories.
Household Income Event Values should include all new household income all residents in the region, including their -
- Personal tax
Using Wage & Salary Income Data
When you’d like to analyze wage and salary income data, it must be first converted into a fully loaded Employee Compensation value before entering the value into your Labor Income Event. Employee Compensation in IMPLAN is the fully loaded cost of the employee to the employer, therefore a wage and salary value would be missing the employer’s cost of benefits and contribution to Social Insurance Tax.
You can use the following resource to convert your wage and salary income to an Employee Compensation value as well as to convert an Employee Compensation value in the IMPLAN data or Results to a wage and salary income value.
Using Disposable Income or Household Spending Data
If you’d like to analyze a change in disposable income, you can adjust a disposable income value to a household income value by dividing your disposable income value by the portion of household income (for a given income group column) allocated to non-government rows. In other words, dividing household income by the portion of household income that is disposable income for a given household income group. This will produce a value that can be entered in a Household Income Event. Similarly, dividing household spending by the portion of household income that is for household spending will produce a value that can be entered in a Household Income Event.
CONSIDERATIONS FOR USING AN INCOME EVENT:
Labor Income Events are commonly and appropriately used for analyzing the impact of wage increases separately from spending on Intermediate Inputs.
Household Income Events are commonly and appropriately used for analyzing new income in a Region due to new residents that live in the Region but do not work there.
Households and individuals may experience other economic shocks that increase or decrease the amount of income available to them. Before analyzing any impacts in IMPLAN its important to consider the underlying assumptions and then state the assumptions made in your analysis when reporting the results.
For example, if a policy change results in savings to households due to a reduction in cost on necessary goods and services such as electricity or insurance, how might these households react? If this household is living paycheck to paycheck, they may spend this newly available income on the items they typically buy. If so, a household income event would be appropriate. If this household already has their expenses covered maybe they go out to the movies more often, maybe they buy a few things on Amazon, or maybe they save it up for a future purchase like a new car. In this case a Household Income Event would not be appropriate since this household would not be appropriate. These considerations are explored further, specifically in the context of Utility Purchases and Energy Rebates here.
Written February 19, 2020
Updated October 7, 2021