| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A profile of the rural poor |
0 |
0 |
0 |
7 |
1 |
3 |
8 |
46 |
| Africa RISING impact assessment report |
0 |
0 |
1 |
1 |
3 |
7 |
62 |
64 |
| Africa RISING in Ghana: Impact brief |
0 |
1 |
1 |
2 |
0 |
2 |
8 |
12 |
| Africa RISING in Malawi – impact brief |
0 |
0 |
0 |
1 |
2 |
2 |
6 |
10 |
| Africa RISING in Malawi: Impact brief |
0 |
0 |
0 |
0 |
1 |
1 |
8 |
11 |
| Africa RISING in Mali – impact brief |
0 |
0 |
0 |
1 |
1 |
1 |
5 |
7 |
| Africa RISING in Tanzania: Impact brief |
0 |
0 |
2 |
2 |
0 |
3 |
6 |
8 |
| Agency, Education and Networks: Gender and International Migration from Albania |
0 |
0 |
0 |
27 |
1 |
8 |
17 |
248 |
| Agency, education and networks: Gender and international migration from Albania |
0 |
0 |
0 |
0 |
3 |
4 |
10 |
26 |
| Agency, education and networks: gender and international migration from Albania |
0 |
0 |
1 |
79 |
0 |
8 |
16 |
266 |
| Armed conflict and gendered participation in agrifood systems: Survey evidence from 29 African countries |
0 |
0 |
2 |
13 |
1 |
3 |
13 |
28 |
| Assessing the risk of COVID-19 in Bangladesh |
0 |
0 |
0 |
1 |
1 |
1 |
2 |
15 |
| Assessing the risk of COVID-19 in Ethiopia |
0 |
0 |
0 |
2 |
1 |
2 |
7 |
12 |
| Assessing the risk of COVID-19 in Feed the Future countries |
0 |
0 |
0 |
11 |
1 |
4 |
9 |
47 |
| Assessing the risk of COVID-19 in Ghana |
0 |
0 |
0 |
3 |
2 |
4 |
7 |
15 |
| Assessing the risk of COVID-19 in Guatemala |
0 |
0 |
0 |
5 |
1 |
1 |
7 |
18 |
| Assessing the risk of COVID-19 in Honduras |
0 |
0 |
0 |
4 |
2 |
3 |
5 |
18 |
| Assessing the risk of COVID-19 in Kenya |
0 |
0 |
0 |
1 |
2 |
3 |
14 |
19 |
| Assessing the risk of COVID-19 in Mali |
0 |
0 |
0 |
0 |
1 |
1 |
6 |
13 |
| Assessing the risk of COVID-19 in Nepal |
0 |
0 |
0 |
3 |
4 |
5 |
12 |
18 |
| Assessing the risk of COVID-19 in Niger |
0 |
0 |
0 |
1 |
1 |
2 |
4 |
9 |
| Assessing the risk of COVID-19 in Nigeria |
0 |
0 |
0 |
1 |
1 |
1 |
7 |
17 |
| Assessing the risk of COVID-19 in Senegal |
0 |
0 |
0 |
0 |
3 |
5 |
8 |
13 |
| Assessing the risk of COVID-19 in Uganda |
0 |
0 |
1 |
2 |
5 |
5 |
12 |
22 |
| Choosing to Migrate or Migrating to Choose: Migration and Labor Choice in Albania |
0 |
0 |
0 |
46 |
1 |
3 |
14 |
158 |
| Choosing to Migrate or Migrating to Choose: Migration and Labour Choice in Albania |
0 |
0 |
1 |
98 |
3 |
7 |
20 |
427 |
| Choosing to migrate or migrating to choose: migration and labour choice in Albania |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
32 |
| Climate change, gender, and nutrition: Support to USAID programs in Nigeria |
0 |
0 |
0 |
1 |
1 |
2 |
8 |
19 |
| Climate, climate shocks and child nutrition in Africa’s diverse farming systems |
0 |
1 |
1 |
42 |
3 |
6 |
14 |
87 |
| Does livestock ownership affect animal source foods consumption and child nutritional status ? evidence from rural Uganda |
0 |
0 |
0 |
64 |
1 |
2 |
9 |
116 |
| Examining the gender digital divide: A case study from rural Bangladesh |
1 |
1 |
1 |
7 |
2 |
4 |
7 |
20 |
| Examining the gender digital divide: A case study from rural Kenya |
0 |
0 |
1 |
6 |
1 |
4 |
24 |
35 |
| Examining the gender digital divide: A case study from rural Nigeria |
0 |
0 |
5 |
15 |
2 |
12 |
39 |
57 |
| Healthy planet, healthy people: Nature-positive contributions to food and nutrition security in Viet Nam |
0 |
1 |
1 |
9 |
0 |
3 |
12 |
19 |
| How weather variability and extreme shocks affect women's participation in African agriculture |
0 |
0 |
0 |
69 |
1 |
2 |
10 |
34 |
| Impacts of Africa RISING in Ghana |
0 |
0 |
0 |
2 |
1 |
1 |
10 |
12 |
| Impacts of Africa RISING in Malawi |
0 |
0 |
1 |
2 |
0 |
0 |
8 |
12 |
| Impacts of Africa RISING in Malawi |
0 |
0 |
0 |
1 |
4 |
5 |
9 |
12 |
| Impacts of Africa RISING in Mali |
0 |
1 |
1 |
6 |
0 |
1 |
8 |
11 |
| Impacts of Africa RISING in Mali |
0 |
0 |
0 |
1 |
0 |
2 |
10 |
14 |
| Impacts of Africa RISING in Tanzania |
0 |
0 |
0 |
5 |
1 |
1 |
7 |
11 |
| Investing in the Livestock Sector: Why Good Numbers Matter, A Sourcebook for Decision Makers on How to Improve Livestock Data |
0 |
0 |
1 |
17 |
3 |
6 |
14 |
77 |
| Literature review on linkages between child nutrition and economic growth |
0 |
0 |
0 |
22 |
2 |
4 |
12 |
47 |
| Livestock Ownership and Child Nutrition in Uganda: Evidence from a Panel Survey |
0 |
0 |
0 |
18 |
1 |
4 |
8 |
68 |
| Modeling migration dynamics in Albania: a hazard function approach |
0 |
0 |
0 |
94 |
0 |
3 |
13 |
231 |
| Monitoring Poverty without Consumption Data: An application using the Albania panel survey |
0 |
0 |
0 |
158 |
2 |
3 |
9 |
535 |
| Monitoring Poverty without Consumption Data: an Application Using the Albania Panel Survey |
0 |
0 |
0 |
4 |
2 |
2 |
11 |
42 |
| Nature-Positive Solutions Initiative baseline evaluation survey report: India |
0 |
0 |
2 |
2 |
0 |
1 |
15 |
15 |
| Nature-Positive Solutions Initiative survey report: Colombia |
0 |
0 |
0 |
0 |
2 |
4 |
10 |
10 |
| Nature-Positive Solutions initiative baseline evaluation survey report: Kenya |
0 |
0 |
0 |
0 |
3 |
6 |
14 |
17 |
| Nature-Positive Solutions initiative baseline evaluation survey report: Vietnam |
0 |
0 |
1 |
4 |
1 |
1 |
10 |
17 |
| Polycrisis in Agrifood Systems: Climate-Conflict Interactions and Labor Dynamics for Women and Youth in 21 African Countries |
0 |
0 |
9 |
9 |
4 |
11 |
34 |
34 |
| Polycrisis in Agrifood Systems: Climate-Conflict Interactions and Labor Dynamics for Women and Youth in 21 African Countries |
0 |
0 |
9 |
9 |
5 |
8 |
28 |
28 |
| Poverty in Mozambique: new evidence from recent household surveys |
0 |
0 |
2 |
145 |
3 |
10 |
45 |
437 |
| Scaling-up Agricultural Innovations: Who Should be Targeted? |
0 |
0 |
0 |
3 |
1 |
1 |
4 |
17 |
| Targeting, bias, and expected impact of complex innovations on developing-country agriculture: Evidence from Malawi |
0 |
0 |
0 |
45 |
2 |
5 |
15 |
149 |
| Technical efficiency and technological change of value chains in five Nigerian states |
0 |
1 |
2 |
32 |
0 |
3 |
7 |
80 |
| The Impact of Rising Food Prices on the Poor |
0 |
0 |
2 |
339 |
4 |
10 |
26 |
1,269 |
| The Impact of Rising Food Prices on the Poor |
0 |
0 |
2 |
69 |
2 |
4 |
19 |
237 |
| The impact of rising food prices on the poor |
0 |
0 |
1 |
8 |
3 |
5 |
18 |
64 |
| The true costs of food production in Kenya and Viet Nam |
0 |
0 |
2 |
11 |
1 |
4 |
13 |
21 |
| Weather variability and extreme shocks in Africa: Are female or male farmers more affected? |
0 |
1 |
4 |
27 |
1 |
2 |
10 |
42 |
| Weather variability and extreme shocks in Africa: are female or male farmers more affected? |
0 |
0 |
0 |
5 |
1 |
2 |
5 |
10 |
| Welfare, Intergenerational Distribution and Households: What Does Generational Accounting Tell Us? |
0 |
0 |
0 |
59 |
2 |
2 |
6 |
492 |
| Total Working Papers |
1 |
7 |
57 |
1,621 |
104 |
236 |
819 |
5,977 |
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