David Roodman
Biographic Data
| ID | 3478195 |
|---|---|
| NAME | David Roodman |
| GIVEN NAMES | David |
| FAMILY NAME | Roodman |
| SIGNATURE | ROODMAN D |
| AFFILIATIONS | Center for Global Development |
| VERIFIED | No |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 252 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Fast and wild
The wild bootstrap was originally developed for regression models with heteroskedasticity of unknown form. Over the past 30 years, it has been extended to models estimated by instrumental variables and maximum likelihood and to ones where the error terms are (perhaps multiway) clustered. Like bootstrap methods in general, the wild bootstrap is especially useful when conventional inference methods are unreliable because large-sample assumptions do…
The Impact of Microcredit on the Poor in Bangladesh
We replicate and reanalyse the most influential study of microcredit impacts (Pitt and Khandker, 1998). That study was celebrated for showing that microcredit reduces poverty, a much hoped-for possibility (though one not confirmed by recent randomized controlled trials). We show that the original results on poverty reduction disappear after dropping outliers, or when using a robust linear estimator. Using a new program for estimation of mixed pro…
Fitting Fully Observed Recursive Mixed-process Models with cmp
At the heart of many econometric models are 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 mul-tiequation systems in which the errors share a multivariat…
Composite indices
How to do Xtabond2
The difference and system generalized method-of-moments estimators, developed by Holtz-Eakin, Newey, and Rosen (1988, Econometrica 56: 1371–1395); Arellano and Bond (1991, Review of Economic Studies 58: 277–297); Arellano and Bover (1995, Journal of Econometrics 68: 29–51); and Blundell and Bond (1998, Journal of Econometrics 87: 115–143), are increasingly popular. Both are general estimators designed for situations with “small T, large N′′ panel…
A Note on the Theme of Too Many Instruments
The difference and system generalized method of moments (GMM) estimators are growing in popularity. As implemented in popular software, the estimators easily generate instruments that are numerous and, in system GMM, potentially suspect. A large instrument collection overfits endogenous variables even as it weakens the Hansen test of the instruments’ joint validity. This paper reviews the evidence on the effects of instrument proliferation, and d…
The Anarchy of Numbers
How to do Xtabond2
Tax Policies to Promote Private Charitable Giving in DAC Countries
Aid, Policies, and Growth
In an extraordinarily influential paper, Craig Burnside and David Dollar (2000, p. 847) find that “... aid has a positive impact on growth in developing countries with good fiscal, monetary, and trade policies but has little effect in the presence of poor policies.” This finding has enormous policy implications. The Burnside and Dollar (2000, henceforth BD) result provides a role and strategy for foreign aid. If aid stimulates growth only in coun…
Limitations of econometric analysis
"Limitations of econometric analysis." Conflict, Security & Development, 4(3), pp. 369–370 Notes David Roodman is Research Fellow, Centre for Global Development, Washington DC. Additional informationNotes on contributorsDavid Roodman Footnote David Roodman is Research Fellow, Centre for Global Development, Washington DC
Forgive Us Our Debts
The Natural Wealth of Nations
Envirorational
Television Continues to Spread
A Note on the Theme of Too Many Instruments
The difference and system generalized method of moments (GMM) estimators are growing in popularity. As implemented in popular software, the estimators easily generate instruments that are numerous and, in system GMM, potentially suspect. A large instrument collection overfits endogenous variables even as it weakens the Hansen test of the instruments’ joint validity. This paper reviews the evidence on the effects of instrument proliferation, and d…
Television Continues to Spread
Envirorational
The Natural Wealth of Nations
Forgive Us Our Debts
Aid, Policies, and Growth
In an extraordinarily influential paper, Craig Burnside and David Dollar (2000, p. 847) find that “... aid has a positive impact on growth in developing countries with good fiscal, monetary, and trade policies but has little effect in the presence of poor policies.” This finding has enormous policy implications. The Burnside and Dollar (2000, henceforth BD) result provides a role and strategy for foreign aid. If aid stimulates growth only in coun…
Limitations of econometric analysis
"Limitations of econometric analysis." Conflict, Security & Development, 4(3), pp. 369–370 Notes David Roodman is Research Fellow, Centre for Global Development, Washington DC. Additional informationNotes on contributorsDavid Roodman Footnote David Roodman is Research Fellow, Centre for Global Development, Washington DC
How to do Xtabond2
Tax Policies to Promote Private Charitable Giving in DAC Countries
The Anarchy of Numbers
How to do Xtabond2
The difference and system generalized method-of-moments estimators, developed by Holtz-Eakin, Newey, and Rosen (1988, Econometrica 56: 1371–1395); Arellano and Bond (1991, Review of Economic Studies 58: 277–297); Arellano and Bover (1995, Journal of Econometrics 68: 29–51); and Blundell and Bond (1998, Journal of Econometrics 87: 115–143), are increasingly popular. Both are general estimators designed for situations with “small T, large N′′ panel…
A Note on the Theme of Too Many Instruments
The difference and system generalized method of moments (GMM) estimators are growing in popularity. As implemented in popular software, the estimators easily generate instruments that are numerous and, in system GMM, potentially suspect. A large instrument collection overfits endogenous variables even as it weakens the Hansen test of the instruments’ joint validity. This paper reviews the evidence on the effects of instrument proliferation, and d…
Fitting Fully Observed Recursive Mixed-process Models with cmp
At the heart of many econometric models are 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 mul-tiequation systems in which the errors share a multivariat…
Composite indices
The Impact of Microcredit on the Poor in Bangladesh
We replicate and reanalyse the most influential study of microcredit impacts (Pitt and Khandker, 1998). That study was celebrated for showing that microcredit reduces poverty, a much hoped-for possibility (though one not confirmed by recent randomized controlled trials). We show that the original results on poverty reduction disappear after dropping outliers, or when using a robust linear estimator. Using a new program for estimation of mixed pro…
Fast and wild
The wild bootstrap was originally developed for regression models with heteroskedasticity of unknown form. Over the past 30 years, it has been extended to models estimated by instrumental variables and maximum likelihood and to ones where the error terms are (perhaps multiway) clustered. Like bootstrap methods in general, the wild bootstrap is especially useful when conventional inference methods are unreliable because large-sample assumptions do…
Econometrics (7 works) · Economics (7 works) · Mathematics (5 works) · Political science (5 works) · International Development and Aid (4 works) · Statistics (4 works) · Business (3 works) · Economic growth (3 works) · Finance (3 works) · Fiscal Policy and Economic Growth (3 works)