2006
DOI: 10.2139/ssrn.903720
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Econometric Modelling of R&D and Australia's Productivity

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Cited by 25 publications
(35 citation statements)
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“…We tested for autocorrelation of the error term (Durbin-Watson), and whether or not its AR1 structure should be modelled with a common coefficient for all industries or with an industry-specific parameter -finding support for the hypothesis of a common coefficient. Accordingly we estimate equation (6) Commission in a recent report (Shanks and Zheng, 2006). To limit problems of multicollinearity we estimate equation (6) using arrivals and departures separately rather than jointly.…”
Section: Pre-estimationmentioning
confidence: 99%
“…We tested for autocorrelation of the error term (Durbin-Watson), and whether or not its AR1 structure should be modelled with a common coefficient for all industries or with an industry-specific parameter -finding support for the hypothesis of a common coefficient. Accordingly we estimate equation (6) Commission in a recent report (Shanks and Zheng, 2006). To limit problems of multicollinearity we estimate equation (6) using arrivals and departures separately rather than jointly.…”
Section: Pre-estimationmentioning
confidence: 99%
“…Nevertheless, it is possible to gain some sense of the possible scale of potential impacts by developing a modified growth model, introducing 'access' and 'efficiency' parameters into calculating the returns to R&D. While there are recognised limitations to the traditional growth model approach to estimating returns to R&D (Salter and Martin 2001;Scott et al 2002;Shanks and Zheng 2006), it does provide a basis for preliminary, 'ball park' estimates of the potential impacts of enhanced access.…”
Section: Quantifying the Impacts Of Enhanced Accessmentioning
confidence: 99%
“…This basic framework has been widely used in estimating the rate of return to R&D. A characteristic finding is that the social returns to R&D are high (in the region of 30-60%, and higher in some cases) (Industry Commission 1995;Salter and Martin 2001;Scott et al 2002;Dowrick 2003;Shanks and Zheng 2006). While there is considerable variation in the rates of return reported in studies around the world, these rates are indicative (Table 1).…”
Section: Estimating the Rate Of Return To Randdmentioning
confidence: 99%
“…Using a multiplier value of about 0.5 would imply that the 0.4% of GDP infrastructure investment response to the crisis could, if sustained, yield a long-term additional increase of about 0.2 percentage points in GDP per capita levels (see e.g. Shanks and Barnes, 2008).…”
Section: The Impact Of Crisis Policies On Long-term Growthmentioning
confidence: 99%