An uneasy alliance: the mathematics research center at the by Jagdish Chandra, Stephen M. Robinson

By Jagdish Chandra, Stephen M. Robinson

Within the put up international battle II period, the math learn heart (MRC) used to be one of many earliest entire examples of collaboration among the govt. and a college. through taking a vast view of arithmetic that embraced either the natural and utilized branches, the MRC supplied a version of an interdisciplinary attempt that interacted rather well with the spectrum of sciences. This e-book bargains with the complicated and hard organizational and medical concerns that arose within the operation of this heart.

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These ‘outliers’ clearly indicate the importance of country-specific analysis. Sensitivity analysis We subject the benchmark results to two sensitivity tests. The first uses decades as the unit of observation rather than 31 years. Investment and inflation still emerge as the key variables discriminating highgrowth countries from low-growth ones. The only new variable of importance is growth of trading partners. Several countries that failed on the investment criterion in this medium-run analysis have high Gary McMahon and Lyn Squire 21 growth rates over the decade if their main trading partners had high growth.

This of course reflects our focus on two clearly separated groups. Later, we will examine how these few variables fare when we apply them to the medium-growth countries. Nevertheless, even with the current focus, further investigation is required for the six misclassified countries. For example, among the high-growth countries, Israel meets the investment threshold but is well-above the threshold for inflation. 1 Benchmark case: high vs low-growth performance (institutional variables excluded) Note: Values in parenthesis are probability of high growth, conditional on being at the current node.

These assumptions may be too restrictive to reflect the true characteristics of production in developing countries. Second, the magnitude of each source of growth critically depends on how we define input and estimate labour income share. In much of the empirical literature (including the studies under the GDN network), the remuneration of physical capital is typically set to onethird for all countries, implying identical production technologies across countries. If the data fail to support the assumption of identical technologies, and there are many reasons to believe that technologies differ across countries and regions, then the comparison of the sources of growth across countries and regions may be flawed (Senhadji, 1999).

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