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The New Growth Evidence

TLDR
This paper surveys the recent empirical literature on economic growth, starting with a discussion of stylized facts, data problems, and statistical methods and concludes that efficiency has grown at different rates across countries, casting doubt on neoclassical models in which technology is a public good.
Abstract
Why do growth rates differ? This paper surveys the recent empirical literature on economic growth, starting with a discussion of stylized facts, data problems, and statistical methods. Six research questions are emphasized, drawing on growth and convergence research. In answering these questions, the paper argues that efficiency has grown at different rates across countries, casting doubt on neoclassical models in which technology is a public good. The latter half of the paper rounds up a variety of findings before providing answers to all six questions, including a short summary of how differences in growth rates arise.

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References
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The mechanics of economic development

Abstract: This paper considers the prospects for constructing a neoclassical theory of growth and international trade that is consistent with some of the main features of economic development. Three models are considered and compared to evidence: a model emphasizing physical capital accumulation and technological change, a model emphasizing human capital accumulation through schooling, and a model emphasizing specialized human capital accumulation through learning-by-doing.
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Increasing Returns and Long-Run Growth

TL;DR: In this paper, the authors present a fully specified model of long-run growth in which knowledge is assumed to be an input in production that has increasing marginal productivity, which is essentially a competitive equilibrium model with endogenous technological change.
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A Contribution to the Empirics of Economic Growth

TL;DR: The authors examined whether the Solow growth model is consistent with the international variation in the standard of living, and they showed that an augmented Solow model that includes accumulation of human as well as physical capital provides an excellent description of the cross-country data.
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Finance and Growth: Schumpeter Might Be Right

TL;DR: In this paper, the authors examined a cross-section of about 80 countries for the period 1960-89 and found that various measures of financial development are strongly associated with both current and later rates of economic growth.
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Corruption and Growth

TL;DR: In this paper, a newly assembled data set consisting of subjective indices of corruption, the amount of red tape, the efficiency of the judicial system, and various categories of political stability for a cross section of countries is analyzed.
Trending Questions (1)
What is the difference of growth patern and occurance in this paper?

The paper discusses the different growth rates across countries and challenges neoclassical models that assume technology is a public good.