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Aid and Growth: What Does The Cross-Country Evidence Really Show?

TLDR
This article examined the effects of aid on growth in cross-sectional and panel data after correcting for the bias that aid typically goes to poorer countries, or to countries after poor performance, and found little robust evidence of a positive (or negative) relationship between aid inflows into a country and its economic growth.
Abstract
We examine the effects of aid on growth--in cross-sectional and panel data--after correcting for the bias that aid typically goes to poorer countries, or to countries after poor performance. Even after this correction, we find little robust evidence of a positive (or negative) relationship between aid inflows into a country and its economic growth. We also find no evidence that aid works better in better policy or geographical environments, or that certain forms of aid work better than others. Our findings, which relate to the past, do not imply that aid cannot be beneficial in the future. But they do suggest that for aid to be effective in the future, the aid apparatus will have to be rethought. Our findings raise the question: what aspects of aid offset what ought to be the indisputable growth enhancing effects of resource transfers? Thus, our findings support efforts under way at national and international levels to understand and improve aid effectiveness.

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Instruments, randomization, and learning about development

TL;DR: The authors argue that many of these applications are unlikely to recover quantities that are useful for policy or understanding: two key issues are the misunderstanding of exogeneity and the handling of heterogeneity, and illustrate using prominent experiments in development and elsewhere.
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The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics

TL;DR: This article reviewed progress in empirical economics since Leamer's critique and pointed out that the credibility revolution in empirical work can be traced to the rise of a design-based approach that emphasizes the identification of causal effects.
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The Curse of Aid

TL;DR: This paper found that if the foreign aid over Gross Domestic Product (GDP) that a country receives over a period of five years reaches the 75th percentile in the sample, then a 10-point index of democracy is reduced between 0.5 and almost one point, a large effect.
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Human Development Report 2010 – 20th Anniversary Edition. The Real Wealth of Nations: Pathways to Human Development

TL;DR: The 2010 Human Development Report continues the tradition of pushing the frontiers of development thinking as discussed by the authors, with an introductory reflections by the Nobel Prize-winning economist Amartya Sen, who worked with series founder Mahbub ul Haq on the conception of the first human development report and contributed to and inspired many successive volumes.
References
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Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.

TL;DR: In this article, the generalized method of moments (GMM) estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no strictly exogenous variables.
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Initial conditions and moment restrictions in dynamic panel data models

TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
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Why Do Some Countries Produce so Much More Output Per Worker than Others

TL;DR: This paper showed that differences in physical capital and educational attainment can only partially explain the variation in output per worker, and that a large amount of variation in the level of the Solow residual across countries is driven by differences in institutions and government policies.
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Does Trade Cause Growth

TL;DR: This paper found that trade has a quantitatively large and robust, though only moderately statistically significant, positive effect on income and that countries' geographic characteristics have important effects on trade, and are plausibly uncorrelated with other determinants of income.