| Title |
Growing and Learning When Consumption Is Seasonal: Long-Term Evidence From Tanzania
|
|---|---|
| Published in |
Demography, May 2018
|
| DOI | 10.1007/s13524-018-0669-4 |
| Pubmed ID | |
| Authors |
Paul Christian, Brian Dillon |
| Abstract |
This article shows that the seasonality of food consumption during childhood, conditional on average consumption, affects long-run human capital development. We develop a model that distinguishes differences in average consumption levels, seasonal fluctuations, and idiosyncratic shocks, and estimate the model using panel data from early 1990s Tanzania. We then test whether the mean and seasonality of a child's consumption profile affect height and educational attainment in 2010. Results show that the negative effects of greater seasonality are 30 % to 60 % of the magnitudes of the positive effects of greater average consumption. Put differently, children expected to have identical human capital based on annualized consumption measures will have substantially different outcomes if one child's consumption is more seasonal. We discuss implications for measurement and policy. |
X Demographics
The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 33% |
| United Kingdom | 2 | 5% |
| India | 2 | 5% |
| Ecuador | 1 | 2% |
| Netherlands | 1 | 2% |
| Indonesia | 1 | 2% |
| Canada | 1 | 2% |
| Australia | 1 | 2% |
| Bolivia, Plurinational State of | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 16 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 70% |
| Scientists | 11 | 26% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 14% |
| Researcher | 9 | 14% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Professor | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 21 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 18 | 28% |
| Social Sciences | 6 | 9% |
| Agricultural and Biological Sciences | 4 | 6% |
| Medicine and Dentistry | 3 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 25 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2022.
All research outputs
#1,044,405
of 25,805,386 outputs
Outputs from Demography
#277
of 2,024 outputs
Outputs of similar age
#22,382
of 342,164 outputs
Outputs of similar age from Demography
#8
of 28 outputs
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