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1. Commitment to Development Index 2012

Author:
David Roodman
Publication Date:
10-2012
Content Type:
Policy Brief
Institution:
Center for Global Development
Abstract:
Why does the CDI matter? Because in an increasingly integrated world, the behavior of rich countries can profoundly affect the lives of people in poor countries and because poverty and weak institutions in developing countries can breed public health crises, security threats, and economic crises that know no borders. Committing to policies that promote develop- ment and well-being is a global imperative—no human being should be denied the chance to live free of poverty and oppression and to enjoy a basic standard of education and health. The CDI countries, all democracies, preach concern for human life and dignity within their own borders; the Index looks at whether rich countries' actions match their words.
Topic:
Development, Economics, Education, Health, and Poverty

2. Europe Beyond Aid: Assessing Europe's Commitment to Development

Author:
David Roodman, Owen Barder, Julia Clark, Alice Lépissier, and Liza Reynolds
Publication Date:
12-2012
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
European countries pride themselves on being leaders in spurring development within poor countries. We find that Europe's approach to development could be characterised as energetically tackling the symptoms of poor economic opportunities for developing countries by providing effective aid, while doing relatively little to tackle the underlying structural causes of poverty. We use the Center for Global Development Commitment to Development Index (CDI) as a tool to examine Europe's performance overall. We combine the scores for the twenty-one European countries which are included in the 2012 edition of the Commitment to Development Index to calculate the single score they would have obtained if they had been a single country. This represents the combined commitment to development of these countries, by giving appropriate weight to the larger, more populous countries in Europe, which tend to have less development-friendly policies than the Nordic countries and the Netherlands. Our calculations show that compared to the other countries in the CDI, Europe as a whole performs better than most CDI countries on aid and environment, but less well in other dimensions such as trade and security. This paper provides the background to a series of more detailed studies of the policies of European countries, individually and collectively through the European Union, in each dimension of the CDI, which the Center for Global Development in Europe is coordinating.
Topic:
Development, Political Economy, Poverty, and Foreign Aid
Political Geography:
Europe

3. Due Diligence: An Impertinent Inquiry into Microfinance

Author:
David Roodman
Publication Date:
01-2012
Content Type:
Policy Brief
Institution:
Center for Global Development
Abstract:
Microfinance: Few development ideas have been so buoyed by high expectations in recent decades, and few have been so buffeted by difficulties in recent years. Images of microfinance lifting people out of poverty now compete with ones of the poor driven by debt to suicide. Where does the truth lie? David Roodman investigates in Due Diligence. He finds no evidence that small loans lift people out of poverty en masse but argues that financial services, like clean water and electricity, are essential to a modern life. The practical question is not whether microfinance should continue, but how it can play to its strengths, which lie in providing useful services to millions of poor people in a businesslike way. Due Diligence is the most complete investigation ever into the sources and consequences of microfinance. Rood - man explores the financial needs of poor people, the history of efforts to meet those needs, the business realities of doing so, and the arguments and evidence about how well modern microfinance is succeeding.
Topic:
Debt, Development, Economics, Globalization, Poverty, and Foreign Direct Investment

4. Estimating Fully Observed Recursive Mixed-Process Models with cmp

Author:
David Roodman
Publication Date:
04-2009
Content Type:
Working Paper
Institution:
Center for Global Development
Abstract:
At the heart of many econometric models is a linear function and a normal error. Examples include the classical small-sample linear regression model and the probit, ordered probit, multinomial probit, Tobit, interval regression, and truncated-distribution regression models. Because the normal distribution has a natural multidimensional generalization, such models can be combined into multi-equation systems in which the errors share a multivariate normal distribution. The literature has historically focused on multi-stage procedures for estimating mixed models, which are more efficiently computationally, if less so statistically, than maximum likelihood (ML). But faster computers and simulated likelihood methods such as the Geweke, Hajivassiliou, and Keane (GHK) algorithm for estimating higher-dimensional cumulative normal distributions have made direct ML estimation practical. ML also facilitates a generalization to switching, selection, and other models in which the number and types of equations vary by observation. The Stata module cmp fits Seemingly Unrelated Regressions (SUR) models of this broad family. Its estimator is also consistent for recursive systems in which all endogenous variables appear on the right-hand-sides as observed. If all the equations are structural, then estimation is full-information maximum likelihood (FIML). If only the final stage or stages are, then it is limited-information maximum likelihood (LIML). cmp can mimic a dozen built-in Stata commands and several user-written ones. It is also appropriate for a panoply of models previously hard to estimate. Heteroskedasticity, however, can render it inconsistent. This paper explains the theory and implementation of cmp and of a related Mata function, ghk2(), that implements the GHK algorithm.
Topic:
Development, Humanitarian Aid, Poverty, and Third World