1981
DOI: 10.2307/3146024
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The Existence of Short-Run Economic Base Multipliers: Some New Empirical Evidence

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Cited by 16 publications
(8 citation statements)
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“…They illustrate a statistical relationship which tends to substantiate the concept of base theory that a dollar spent in the export industry causes factors of production to be employed which create a multiplier effect. The statistical relationship in this study is the strongest in one and two quarters which tends to support the short-run multiplier arguments found elsewhere in the literature (10,12,13,25,27,28). The results of this study are especially comparable with the short-run impacts found by Henry and Nyankori (12) and Sasaki (25).…”
Section: The Methodssupporting
confidence: 81%
“…They illustrate a statistical relationship which tends to substantiate the concept of base theory that a dollar spent in the export industry causes factors of production to be employed which create a multiplier effect. The statistical relationship in this study is the strongest in one and two quarters which tends to support the short-run multiplier arguments found elsewhere in the literature (10,12,13,25,27,28). The results of this study are especially comparable with the short-run impacts found by Henry and Nyankori (12) and Sasaki (25).…”
Section: The Methodssupporting
confidence: 81%
“…Other ideas are to apply a transfer function [Cook (1979)] or to use time series techniques [Sasaki (1963); Spreen and Mulkey (1980); Giarratani and McNelis (1980)]. The most ambitious approach, which avoids an arbitrary lag structure, is by Henry and Nyankori (1981). They use a linear spline function to evaluate impacts quarter by quarter within an overall assumed lag response of two years.…”
Section: A the Lag Distribution Of Multiplier Impactsmentioning
confidence: 99%
“…Other studies employed monthly or quarterly time-series data to test for short-run and long-run multipliers (Henry and Nyankori, 1981;Spreen and Mulkey, 1980;Lego et al, 2000;Harris et al, 1999). With time-series models, cointegration is applied to test for long-run relationships between variables such as basic and nonbasic employment or income.…”
Section: Stability Of Basic and Nonbasic Multipliers Over Timementioning
confidence: 98%