Two different studies by Berkelay and Columbia university confirm that children of women who assumed food with pesticides during their pregnancy, after 7 year from birth, perform worse in IQ tests than peer whose mothers ate free-pesticide food in the same period. The researchers controlled for eduction and environmental elements which could bias the results, too. Unfortunately, the paper is not downloadable freely (it would be interesting to analyse for some selection bias issues). As a development economist, I am concerned with poverty issues. That is, it is likely that poorer families are more exposed to pesticides than wealthier ones, pushing poorer children into a pesticide poverty trap which does not allow (at best, obstacles) them to social climbing. Especially, I am thinking to developing countries or BRICS, where need for growth could lead government to subside cropping technologies which spur agricultural productivity at the expense of health conditions.
Category Archives: development economics
Martin Wolf on the Financial Times provides an analysis about how China’s growth could slow down and, eventually, end in a bump because of the investments-led growth strategy. There are signals that the investments are lowering their returns and the consumption is growing too slowly in order to fill up the gap. Among the other arguments given by the author, there are the ‘middle-income trap’ and the size of China. I need some expert macro-economist telling me whether the parallelism with Japan is too rash. It is worth for a deep reading!
Yao Yang on Project Syndicate about the issues emerging when comparing China’s and US’ economies in terms of purchasing power parity (PPP). Complex concepts, tough explained so neatly. Enjoy it!
Before starting my Nicaraguan experience, dreams of glory flooded my ego. Reviewing all my studies on data collection, I knew it would have been a priority to collect data from households survey as fast as possible. Because interviewing the first household of the community today and the last one in 6-months time means introducing a significant source of bias in the research, especially in rural economies subject to seasonality. However, I’m realising that I was naive. Because we’re just two interviewers, because I didn’t consider my stomach could have left me in my room for one entire week, because I go to and from the community using my stick, not my jeep. In other words, because I’m not the World Bank, nor Indiana Jones. To sum up, my goal is to have enough large control group to match with the treatment of the households who participate to a micro credit scheme – the ‘Small Business Program. I have two possibilities: surrendering to the extended collection time bias or opting for a second best solution. I’m trying to move toward the second option. In parallel with the community survey, I’m working with students of a technical high school to assess the program Education That Pays For Itself, run by the English NGO, Teach A Man To Fish. Among the NGO’s outcomes of interests, there is the socioeconomic condition of the students’ families. Hence, I’ training the students to interview their families (belonging to other communities though), in order to increase quickly the treatment group. Therefore, I can focus my interviews in the community on treatment group mainly, shortening the data collection timing, and getting information on students’ families. The assumption is that from the students’ families, coming from rural background in Nicaragua, a PSM approach will allow me to select part of my control group. I fancy to better solutions…
P.S. Edgar, I know you’re thinking about the horse!
After carrying out and attending several interviews, questions are arising in me about the vulnerability section. Vulnerability – considered in my study “the magnitude of the threat of future poverty” (Calvo and Dercon 2005, p.5) – is a complex concept, indeed enriching a poverty profile.
A man who was shot in an armed robbery 3 months ago, told me his level of worry for being assaulted in the future is very low, a woman who hasn’t been assaulted in the last 5 years, stated is extremely worried of being assaulted in the future.
Now, let’s put apart probabilistic calculations and think in a mere qualitative way, how do we compare their different levels of perceived vulnerability to assaults? Measuring the poverty ex-ante, a real challenge. Literature on this issue is warmly welcomed, I need a reliable vulnerability index…
IS MORTALITY IN DEVELOPING COUNTRIES PROCYCLICAL? HEALTH PRODUCTION AND THE VALUE OF TIME IN COLOMBIA’S COFFEE-GROWING REGIONS (Miller and Urdinola, 2007) is a paper testing the hypothesis of countercyclical infant mortality in poor coffee crops area in rural Colombia, i.e. the mortality rate being decreasing during economic growth. That is to say, during economic upturns (high coffee price), coffee growers would have a higher propensity to focus on their children’s health conditions due to higher disposable income. Meanwhile, during economic downturns (low coffee price), poor coffee growers would give priority to other expenditures than the ones put towards their children’s health status – due to consumption smoothing mechanisms. However, the authors find evidence of procyclical infant mortality rate. Namely, the mortality rate increases during positive economic shocks (high coffee price), when the coffee growers are supposed to have more resources they can assign to health care. In developed countries, too, evidences suggest that mortality rate is procyclical. This could be explained by three main factors, holding during economic upturns:
- Increasing consumption of harmful normal goods like tobacco and alcohol (Miller and Urdinola, 2007)
- Increasing pollutant emissions and higher traffic fatality rates (ibid.)
- Increasing opportunity cost of time (ibid.)
The Colombian context – where the rates of tobacco and alcohol addition are supposed to be close to zero among infants and the geographic and environmental features make pollution and traffic an minor problem – suggests reasons 1. and 2. cannot hold. On the other hand, factor 3., the increased opportunity cost of time, looks plausible.
Jinotega department in Nicaragua is a coffee-growing region. Yesterday I was interviewing a household’s head and, at the question whether he was worried by bad health conditions of him or a family member, he complined about the waste of time for going to the health center. Did he read Miller and Urdinola, too?
Don’t hesitate to tell me I make things too simple!
Interview 2, 3 & 4 completed. I shortened the time, from 3 to 2 hours to complete the questionnaire! Like the first time, I brought back home both material and spiritual enrichment. Again, the vulnerability section is giving unexpected reactions. At the question whether the hh’s head was afraid of different shocks affecting familiar economic activity, the perceived fear decreased in the time-horizon, counter-intuitively. ‘What God keeps today, he will give it back tomorrow’ is the respondent’s explanation. In some ways, this attitude could bring individuals to invest in riskier activities, faithful in divine justice at sometime; on the other hand, individuals could have an incentive to inactivity, being everything decided – reminiscences of Bachelor’s courses on Webber and The Protestant Ethic of Capitalism come to me. I’ll seek to let the data tell me this story.