Syndicate content

India

A new answer to why developing country firms are so small, and how cellphones solve this problem

David McKenzie's picture
Much of my research over the past decade or so has tried to help answer the question of why there are so many small firms in developing countries that don’t ever grow to the point of adding many workers. We’ve tried giving firms grants, loans, business training, formalization assistance, and wage subsidies, and found that, while these can increase sales and profits, none of them get many firms to grow.

What a new preschool study tells us about early child education – and about impact evaluation

David Evans's picture
When I talk to people about impact evaluation results, I often get two reactions:
  1. Sure, that intervention delivered great results in a well-managed pilot. But it doesn’t tell us anything about whether it would work at a larger scale. 
  2. Does this result really surprise you? (With both positive results and null results, I often hear, Didn’t we already know that intuitively?)

A recent paper – “Cognitive science in the field: A preschool intervention durably enhances intuitive but not formal mathematics” – by Dillon et al., provides answers to both of these, as well as giving new insights into the design of effective early child education.

Money for her or for him? Unpacking the impact of capital infusions for female enterprises

Markus Goldstein's picture
In a 2009 paper, David McKenzie and coauthors Chris Woodruff and Suresh de Mel find that giving cash grants to male entrepreneurs in Sri Lanka has a positive and significant return, while giving the same to women did not.   David followed this up with work with coauthors in Ghana that compared in-kind and cash grants for women and men.  Again, better returns for men (with in-kind working for some

Technoskeptics pay heed: A computer-assisted learning program that delivers learning results

David Evans's picture
Some years ago, a government I was working with really wanted to increase the data they had on their own education system. They didn’t have great data on student attendance or teacher attendance, much less on tardiness or instruction time. They designed an information management system with swipe cards for every student and teacher to use going in and out of classrooms, all of which would feed wirelessly into the district office, allowing real-time interventions to improve education. It sounded amazing! And it fell apart before it ever began.

How do you scale up an effective education intervention? Iteratively, that’s how.

David Evans's picture
So you have this motivated, tightly controlled, highly competent non-government organization (NGO). And they implement an innovative educational experiment, using a randomized controlled trial to test it. It really seems to improve student learning. What next? You try to scale it or implement it within government systems, and it doesn’t work nearly as well.

What are Schools Worth? That Depends on the General Equilibrium Effects - Guest post by Gaurav Khanna

Large-scale educational expansions represent substantial investments of public resources and benefit households by increasing education levels, and therefore productivity in the local economy. However, since they impact both individual behavior and labor markets, convincing causal estimates of their overall benefits are hard to generate.

Why did the farmer cross the road? To bridge the productivity divide: Guest Post by Sam Asher

This is the sixth in our series of posts by students on the job market this year.
 The productivity of workers in agriculture is generally much lower than in other sectors of the economy (Gollin, Lagakos and Waugh, 2014). This is particularly true in low-income countries, yet these countries generally have the highest shares of the population living in rural areas and working in agriculture (McMillan et al, 2014). So why don’t workers switch jobs into higher productivity (and better paid) occupations? Development economists as far back as Lewis (1954) and Sen (1966) have studied the labor market imperfections that may keep workers in low productivity agriculture despite higher wages elsewhere.

Pollution, worker efficiency and the role of management: Evidence from India

Markus Goldstein's picture
In a nice, recent paper Achyuta Adhvaryu, Namrata Kala, and Anant Nyshadham take a look at how air pollution hurts productivity and what effect, if any, managers can have in mitigating these effects.   The short answer is yes, pollution hurts worker productivity, and yes, managers with certain qualities do a better job of mitigating these effects as they manage their workers.   That’s the short story, but how they get there is quite fascinating.  

Pages