Local economic impact

Economic-impact estimates are among the most persuasive and most easily misunderstood numbers in cultural policy. A festival reported to have a $14 million economic impact has not necessarily generated $14 million in ticket revenue, created $14 million in new household income or added $14 million to regional GDP. Impact studies generally combine direct spending with modeled indirect and induced effects, and their outputs depend on assumptions about geography, visitor origin, substitution and the multipliers applied to the initial spending.¹ The Live Music Economic Impact Index is designed to make those distinctions visible rather than collapse them into one celebratory figure.

The need for disciplined measurement is substantial because the broader cultural economy is economically large. The Bureau of Economic Analysis estimated that arts and cultural production contributed $1.17 trillion, or 4.2 percent of U.S. GDP, in 2023 and supported 5.4 million jobs.² That account includes far more than live music, but it establishes that cultural activity belongs within ordinary economic analysis rather than being treated as an intangible exception. NIVA's 2025 study further estimated that independent live stages generated $153.1 billion in total economic output, $86.2 billion in GDP contribution, $51.7 billion in wages and benefits and $19.31 billion in taxes in 2024.³

Measurement categories

Every Live Index impact study should report at least four concepts separately: direct spending, economic output, value added and labor income. Direct spending is the initial spending attributable to the event or sector within the defined region. Economic output is a gross measure of business activity and can include intermediate transactions. Value added is conceptually closer to GDP because it removes intermediate inputs. Labor income measures compensation received by workers. Tax revenue, when modeled, should be shown as a separate estimate with the jurisdictional assumptions documented.

Using these terms consistently prevents the common practice of placing several non-equivalent figures under the generic label “impact.” A reader should be able to identify what the headline number actually measures before deciding whether it is large or small.

Additionality and substitution

The most difficult question is not the multiplier but the counterfactual: what spending occurred because the event happened that would not otherwise have occurred within the region? Spending by out-of-town visitors is often more clearly additional because those dollars enter the local economy. Spending by local residents is more complicated because some portion may have been redirected from another local restaurant, movie, sporting event or entertainment purchase.

For this reason, Live Index studies should publish resident and nonresident spending separately where possible and describe the treatment of local spending. The methodology used in the 2012 Free Press Summer Fest economic-impact study, for example, explicitly confronted the treatment of local expenditures through an import-substitution framework; the assumptions are analytically important because they affect how much of the event's spending is classified as incremental.⁴

Multipliers

Input-output multipliers estimate how initial spending propagates through suppliers and household spending. BEA's RIMS II framework is one established approach, but BEA itself cautions practitioners that multiplier analysis requires appropriate geography, industry selection and interpretation.¹ Live Index should publish the multiplier source, model version, industries used and study region for every modeled estimate. A larger multiplier should never be treated as inherently better; it represents an assumption about economic linkages, not additional observed ticket sales.

When an event is large relative to the local economy or creates unusual capacity constraints, standard fixed-coefficient multiplier models may become less reliable. Hotel rooms can reach capacity, workers can be drawn from other activities, and price changes can alter behavior. Those limitations should be discussed rather than buried in technical appendices.

Index construction

The Economic Impact Index should not simply rank cities by dollar output because population and market size would dominate. A comparative measure can include live-event value added per resident, visitor spending per event attendee, live-event employment intensity, tax generation and the share of local cultural activity associated with live performance. Absolute dollar figures should remain prominently available beside normalized scores so scale is not lost.

The index should also distinguish recurring infrastructure from episodic impact. A major festival can create a large annual spike, while a network of year-round venues produces smaller but more continuous effects. Both matter to a city, and the data product should show their composition separately.