scispace - formally typeset
D

David McKenzie

Researcher at World Bank

Publications -  275
Citations -  21902

David McKenzie is an academic researcher from World Bank. The author has contributed to research in topics: Immigration & Developing country. The author has an hindex of 70, co-authored 267 publications receiving 19539 citations. Previous affiliations of David McKenzie include Stanford University & World Bank Group.

Papers
More filters
BookDOI

Does Management Matter? Evidence from India

TL;DR: In this article, the authors run a management field experiment on large Indian textile firms, providing free consulting on modern management practices to a randomly chosen set of treatment plants and compared their performance to the control plants.
Posted Content

Returns to Capital in Microenterprises: Evidence from a Field Experiment

TL;DR: In this article, the authors used a randomized experiment to measure the return to capital for the average microenterprise in their sample, regardless of whether they apply for credit and found that the average real return to be 5.7 percent a month, substantially higher than the market interest rate.
Journal ArticleDOI

Network effects and the dynamics of migration and inequality: Theory and evidence from Mexico

TL;DR: This article examined the empirical evidence for an inverse U-shaped relationship between emigration and inequality in rural sending communities in Mexico and found that the overall impact of migration is to reduce inequality across communities with relatively high levels of past migration.
Journal ArticleDOI

Returns to Capital in Microenterprises: Evidence from a Field Experiment

TL;DR: In this paper, the authors used a randomized experiment to measure the return to capital for the average microenterprise in their sample, regardless of whether they apply for credit and found that the average real return to be 5.7 percent a month, substantially higher than the market interest rate.
Journal ArticleDOI

In Pursuit of Balance: Randomization in Practice in Development Field Experiments

TL;DR: In this article, the authors present new evidence on the randomization methods used in existing randomized experiments, and carry out simulations in order to provide guidance for researchers, and find that many researchers are not controlling for the method of randomization in their analysis, leading to tests with incorrect size, and can result in lower power than if a pure random draw was used.