世界経済・社会統計 = World development indicators

https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

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 estimate the respective contributions of institutions, geography, and trade in determining income levels around the world, using recently developed instrumental variables for institutions and trade. Our results indicate that the quality of institutions “trumps” everything else. Once institutions are controlled for, conventional measures of geography have at best weak direct effects on incomes, although they have a strong indirect effect by influencing the quality of institutions. Similarly, once institutions are controlled for, trade is almost always insignificant, and often enters the income equation with the “wrong” (i.e., negative) sign. We relate our results to recent literature, and where differences exist, trace their origins to choices on samples, specification, and instrumentation.

/pdf/institutions-rule-the-primacy-of-institutions-over-geography-1kp6tsm4xq.pdf

Institutions Rule: The Primacy of Institutions over Geography and Integration in Economic Development

When average incomes rise, the average incomes of the poorest fifth of society rise proportionately. This holds across regions, periods, income levels, and growth rates. But relatively little is known about the broad forces that account for the variations across countries and across time in the share of income accruing to the poorest fifth. When average incomes rise, the average incomes of the poorest fifth of society rise proportionately. This is a consequence of the strong empirical regularity that the share of income accruing to the bottom quintile does not vary systematically with average income. Dollar and Kraay document this empirical regularity in a sample of 92 countries spanning the past four decades and show that it holds across regions, periods, income levels, and growth rates. Dollar and Kraay next ask whether the factors that explain cross-country differences in the growth rates of average incomes have differential effects on the poorest fifth of society. They find that several determinants of growth - such as good rule of law, openness to international trade, and developed financial markets - have little systematic effect on the share of income that accrues to the bottom quintile. Consequently, these factors benefit the poorest fifth of society as much as everyone else. There is some weak evidence that stabilization from high inflation and reductions in the overall size of government not only increase growth but also increase the income share of the poorest fifth in society. Finally, Dollar and Kraay examine several factors commonly thought to disproportionately benefit the poorest in society, but find little evidence of their effects. The absence of robust findings emphasizes that relatively little is known about the broad forces that account for the cross-country and intertemporal variation in the share of income accruing to the poorest fifth of society. This paper - a product of Macroeconomics and Growth, Development Research Group - is part of a larger effort in the group to study growth and poverty reduction. The authors may be contacted at ddollar@worldbank.org or akraay@worldbank.org.

Growth is Good for the Poor

Do countries with lower policy-induced barriers to international trade grow faster, once other relevant country characteristics are controlled for? There exists a large empirical literature providing an affirmative answer to this question. We argue that methodological problems with the empirical strategies employed in this literature leave the results open to diverse interpretations. In many cases, the indicators of openness used by researchers are poor measures of trade barriers or are highly correlated with other sources of bad economic performance. In other cases, the methods used to ascertain the link between trade policy and growth have serious shortcomings. Papers that we review include those by Dollar (1992), Ben-David (1993), Sachs and Warner (1995), Edwards (1998), and Frankel and Romer (1999). We find little evidence that open trade policies-in the sense of lower tariff and nontariff barriers to trade-are significantly associated with economic growth.

Trade Policy and Economic Growth: A Skeptic's Guide to the Cross-National Evidence

This article suggests an alternative explanation for why resource-rich economies have lower growth rates: because they are likely to be living beyond their means. It is shown that overshooting the steady state's equilibrium consumption and investment can be optimal in a Ramsey growth model with natural resources. Therefore, the economy will converge to its steady state from above, displaying negative growth rates on the transition. A dynamic general equilibrium model is calibrated to the Venezuelan economy and shown to approximate the economy's performance over the oil boom years adequately.

Why Do Resource-Abundant Economies Grow More Slowly?

Since its introduction in the first Human Development Report in 1990, the Human Development Index (HDI) has attracted great interest in policy and academic circles, as well as in the media and national audiences around the world. Its popularity can be attributed to the simplicity of its characterization of development - an average of achievements in health, education and income – and to its underlying message that development is much more than economic growth. The index was originally conceived by the late Pakistani economist Mahbub ul Haq, in collaboration with Amartya Sen and other scholars, as a response to their dissatisfaction with GDP as the standard measure of development. As Haq noted, “Any measure that values a gun several hundred times more than a bottle of milk is bound to raise serious questions about its relevance for human progress.” Yet the HDI’s very simplicity prompted critiques from the start, with some contending that it was too simplistic, while others who accepted its self-imposed limitations still questioned its choice of indicators and its computational methodology. This article discusses the concept and key insights learnt from the HDI, provides a detailed review of key critiques of the HDI, today and in the past, and explains the recent changes introduced to the HDI formula and indicators. Recent controversies are highlighted and placed in the context of longer running debates. The innovations to broaden the measurement of deprivations and disparities in human development are introduced, with some key global and regional insights.

http://hdr.undp.org/sites/default/files/hdrp_2011_01.pdf

The HDI 2010: new controversies, old critiques

Do countries with lower policy-induced barriers to international trade grow faster, once other relevant country characteristics are controlled for? There exists a large empirical literature providing an affirmative answer to this question. We argue that methodological problems with the empirical strategies employed in this literature leave the results open to diverse interpretations. In many cases, the indicators of "openness" used by researchers are poor measures of trade barriers or are highly correlated with other sources of bad economic performance. In other cases, the methods used to ascertain the link between trade policy and growth have serious shortcomings. Papers that we review include Dollar (1992), Ben-David (1993), Sachs and Warner (1995), and Edwards (1998). We find little evidence that open trade policies--in the sense of lower tariff and non-tariff barriers to trade--are significantly associated with economic growth.

This paper discusses recent evidence regarding the existence of a cross-country empirical relationship between openness to international trade and economic growth. I discuss the empirical contributions of Warner (2003), Dollar and Kraay (2002), and Wacziarg and Welch (2003), and argue that these studies fail to convincingly establish a positive link between trade and growth. I also discuss the 1990-03 experience and show that growth does not display a significant correlation with any measure of trade openness over this period.

/pdf/openness-and-growth-what-have-we-learned-2me4u92vqh.pdf

Francisco Rodríguez

Papers

Trade Policy and Economic Growth: A Skeptic's Guide to the Cross-National Evidence

Why Do Resource-Abundant Economies Grow More Slowly?

The HDI 2010: new controversies, old critiques

Trade Policy and Economic Growth: A Skeptic's Guide to the Cross-National Evidence

Openness and Growth: What Have We Learned?