Results 211 to 220 of about 335,686 (261)

Shift-Share Analysis as a Linear Model

Environment and Planning A: Economy and Space, 1991
Shift-share analysis continues to be popular among geographers, regional scientists, and planners despite widespread criticism of the method. In this paper, it is argued that insufficient attention has been paid to model-based approaches to shift—share analysis.
D C Knudsen, R Barff
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A comparison of shift-share and the RAS adjustment

Regional Science and Urban Economics, 1980
It is argued that the RAS procedure applied to regions and industries performs a function similar to that of the shift-share technique, and that RAS has the advantage of a justification based on concepts from information theory.
Henri Theil, Riddhi Ghosh
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Dynamic Shift‐Share Analysis

Growth and Change, 1988
ABSTRACTMost applications of shift‐share analysis to regional employment change have used a study period of several years and have examined conditions only at the beginning and end years. This comparative static approach does not take into account the continuous changes in both industrial mix and size of total employment of the region over the study ...
RICHARD A. BARFF, PRENTICE L. KNIGHT III
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Identification of export opportunities: A shift‐share approach

The International Executive, 1985
The search for new export markets is a high priority for firms in the 1980s. This article considers a technique that could be useful in screening markets and products for possible export opportunities. The technique is called shift-share analysis and has been heretofore employed primarily in regional analysis studies. We demonstrate the manner in which
Robert T. Green, Arthur W. Allaway
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Testing Dynamic Shift-Share

1994
All economies change over time. Shift-share decomposes total regional growth, ascribing changes in a local economy to three distinct factors. The national growth effect estimates the regional expansion due to growth in the nation. The industry mix effect measures the degree that an area gains jobs or incomes because it is home to industries that are ...
Selting, Anne C., Loveridge, Scott
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A Reconnaissance Through the History of Shift-Share Analysis

2020
Some research methods come and go, and others persist through time. If you had asked regional analysts in 1980 about the future of shift-share analysis, most of them undoubtedly would have grunted in dismal tones. Statistical software and ever-rising computational capacity appeared to be storm clouds on the horizon for this analytical approach that had
Lahr, Michael L., Ferreira, João Pedro
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An empirical examination of shift‐share instruments

Journal of Regional Science, 2020
AbstractBartik's (1991, 1993) approach to identifying shocks in demand to regional economies has been used extensively for nearly 30 years. We chronicle the development of Bartik‐type shift‐share instruments and examine the empirical performance of alternative versions that use different combinations of national shift and local share variables in their
Daniel A. Broxterman, William D. Larson
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Structural Decomposition and Shift-Share Analyses: Let the Parallels Converge

2017
Intuitively, structural decomposition analysis (SDA) demonstrates strong similarities to shift-share analysis (SSA). Both examine the effects of industry shifts due to growth (or decline) and some sort of difference in industry shares. But SSA works its shares across space while SDA works its shares again across industries via technology change ...
Lahr, Michael L., Dietzenbacher, E.
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Shift - Share Analysis: A Modified Approach

1979
This modified version of shift-share analysis presents components of regional economic growth in percentage terms. The version includes a comparative measure of industrial composition not present in traditional shift share. Key components of the modified approach are also shown in graph form to simplify the analysis of regional growth characteristics ...
Kalbacher, Judith Z., Kalbacher, Judith Z.   +1 more
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Identifying brand performance by shift-share analysis

Journal of the Academy of Marketing Science, 1978
Brand managers within marketing organizations are frequently concerned with the relative performances of their products. Brands which are out-performing firm and industry sales need to be identified; the same is true for slow growth or no-growth brands. A similar problem exists with respect to regional economies. What are the leading industries?
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