Compare methods

	Shift-Share Analysis	Input-Output Analysis	Shift-Share IV
Field	Economics	Economics	Causal inference
Family	Process / pipeline	Process / pipeline	Regression model
Year of origin	1960	1936	2020
Originator	Edgar S. Dunn (Daniel Creamer credited with early use)	Wassily Leontief	Bartik (1991); identification framework by Goldsmith-Pinkham, Sorkin & Swift (2020) and Borusyak, Hull & Jaravel (2022)
Type	Descriptive decomposition of regional growth	Linear inter-industry accounting and impact model	Instrumental-variable design
Seminal source	Dunn, E. S. (1960). A statistical and analytical technique for regional analysis. Papers of the Regional Science Association, 6(1), 97–112.	Leontief, W. W. (1936). Quantitative input and output relations in the economic system of the United States. The Review of Economics and Statistics, 18(3), 105–125.	Goldsmith-Pinkham, P., Sorkin, I. & Swift, H. (2020). Bartik Instruments: What, When, Why, and How. American Economic Review, 110(8), 2586–2624.
Aliases	Shift-Share Decomposition, SSA, Esteban-Marquillas Shift-Share, Regional Shift-Share	Leontief Model, Inter-Industry Analysis, I-O Analysis, Input-Output Model	Bartik instrument, shift-share instrument, Shift-Share Araç Değişkeni (Bartik Instrument)
Related	3	4	5
Summary	Shift-share analysis is a descriptive technique that decomposes the change in a regional variable — most often sectoral employment — into three additive components: the part attributable to overall national growth, the part attributable to the region's industry mix, and the part attributable to the region's own competitive performance. Formalized by Edgar Dunn in 1960, it answers whether a region grew because the national economy grew, because it specializes in fast-growing industries, or because its industries outperformed (or underperformed) their national counterparts.	Input-output analysis is a quantitative framework for representing the interdependence between the industries of an economy, introduced by Wassily Leontief in 1936. It records the flows of goods and services between sectors in a transactions table, derives fixed technical coefficients describing how much each industry buys from every other industry per unit of output, and inverts the resulting linear system to trace how an exogenous change in final demand ripples through the entire production structure.	The shift-share instrumental variable, widely known as the Bartik instrument, is a causal-inference strategy that builds an instrument by interacting national or sector-level shocks (the shifts) with local composition weights (the shares). Its modern identification framework was set out by Goldsmith-Pinkham, Sorkin and Swift (2020) and Borusyak, Hull and Jaravel (2022).