世界経済・社会統計 = World development indicators

In Acemoglu, Johnson, and Robinson, henceforth AJR, (2001), we advanced the hypothesis that the mortality rates faced by Europeans in different parts of the world after 1500 affected their willingness to establish settlements and choice of colonization strategy. Places that were relatively healthy (for Europeans) were—when they fell under European control—more likely to receive better economic and political institutions. In contrast, places where European settlers were less likely to go were more likely to have “extractive” institutions imposed. We also posited that this early pattern of institutions has persisted over time and influences the extent and nature of institutions in the modern world. On this basis, we proposed using estimates of potential European settler mortality as an instrument for institutional variation in former European colonies today. Data on settlers themselves are unfortunately patchy—particularly because not many went to places they believed, with good reason, to be most unhealthy. We therefore followed the lead of Curtin (1989 and 1998) who compiled data on the death rates faced by European soldiers in various overseas postings. 1 Curtin’s data were based on pathbreaking data collection and statistical work initiated by the British military in the mid-nineteenth century. These data became part of the foundation of both contemporary thinking about public health (for soldiers and for civilians) and the life insurance industry (as actuaries and executives considered the

/pdf/the-colonial-origins-of-comparative-development-an-empirical-4a7vtfps9i.pdf

The Colonial Origins of Comparative Development: An Empirical Investigation

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

We investigate whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997), with negative results. We then investigate the evolution of income inequality over the same period and its correlation with growth. The dominating feature is inequality convergence across countries. This convergence has been significantly faster amongst developed countries. Growth does not appear to influence the evolution of inequality over time. Outline

https://www.econstor.eu/bitstream/10419/81822/1/02-28.pdf

Economic growth and income inequality

https://mpra.ub.uni-muenchen.de/62288/1/MPRA_paper_62288.pdf

Aid and growth regressions

There is a widespread perception among academic researchers and aid practitioners alike that empirical cross-country analysis fails to find any significant link between aid flows and growth, and that aid is successful only when associated with good policies in the recipient countries. These positions do not stand up to careful scrutiny of existing studies. In this paper, we offer a re-examination of the literature on the aid-savings, aid-investment, and aid growth relationships, and a comparative appraisal of more recent research contributions. Using an analytic framework for evaluating the empirical work, a coherent and positive picture of the aid-growth link emerges. Aid works, even in countries hampered by an unfavorable policy environment.

/pdf/aid-effectiveness-disputed-ulix5bgg4p.pdf

Aid effectiveness disputed

The present paper re-examines the effectiveness of foreign aid theoretically and empirically. Using a standard OLG model we show that aid inflows will in general affect long-run productivity. The size and direction of the impact may depend on policies, 'deep' structural characteristics and the size of the inflow. The empirical analysis investigates these possibilities. Overall we find that aid has been effective in spurring growth, but the magnitude of the effect depends on climate-related circumstances. Finally, we argue that the Collier-Dollar allocation rule should be seriously reconsidered by donor agencies if aid effectiveness is related to climate.

On the Empirics of Foreign Aid and Growth

The present paper re-examines the effectiveness of foreign aid theoretically and empirically. Using a standard OLG model we show that aid inflows will in general affect long-run productivity. The size and direction of the impact may depend on policies, 'deep' structural characteristics and the size of the inflow. The empirical analysis investigates these possibilities. Overall we find that aid has been effective in spurring growth, but the magnitude of the effect depends on climate-related circumstances. Finally, we argue that the Collier-Dollar allocation rule should be seriously reconsidered by donor agencies if aid effectiveness is related to climate. The usefulness of foreign aid in promoting growth in developing countries has been an area of controversy ever since Rosenstein-Rodan in 1943 advocated for aid to Eastern and South-Eastern Europe. Browsing through successive editions of a leading textbook in development economics provides a telling illustration of how the confidence in aid effectiveness dwindled over the years. In the first edition of 'Leading Issues in Economic Development', Meier (1964) dedicated a full 18-page section to the issue of foreign aid. He started out asking: 'How much aid?'. By the time of the sixth edition (Meier, 1995), the treatment of foreign aid had been cut into half, and the questions in focus were 'Why official assistance?' and 'Does aid work?'. In the 2000 edition (Meier and Rauch, 2000), 'foreign aid' is not even listed in the index.

/pdf/on-the-empirics-of-foreign-aid-and-growth-aoped6ik1f.pdf

https://www.nottingham.ac.uk/credit/documents/papers/01-21.pdf

Finn Tarp

Papers

Aid and growth regressions

Aid effectiveness disputed

On the Empirics of Foreign Aid and Growth

On the Empirics of Foreign Aid and Growth

Business Cycles in Developing Countries: Are They Different?