| 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 |
0 |
0 |
9 |
47 |
| Africa RISING impact assessment report |
0 |
1 |
2 |
2 |
1 |
2 |
64 |
67 |
| Africa RISING in Ghana: Impact brief |
0 |
0 |
1 |
2 |
0 |
0 |
8 |
12 |
| Africa RISING in Malawi – impact brief |
0 |
0 |
0 |
1 |
0 |
0 |
6 |
10 |
| Africa RISING in Malawi: Impact brief |
0 |
0 |
0 |
0 |
0 |
1 |
8 |
12 |
| Africa RISING in Mali – impact brief |
0 |
0 |
0 |
1 |
0 |
0 |
6 |
8 |
| Africa RISING in Tanzania: Impact brief |
0 |
0 |
2 |
2 |
0 |
0 |
6 |
8 |
| Agency, Education and Networks: Gender and International Migration from Albania |
0 |
0 |
0 |
27 |
1 |
2 |
18 |
250 |
| Agency, education and networks: Gender and international migration from Albania |
0 |
0 |
0 |
0 |
0 |
0 |
10 |
26 |
| Agency, education and networks: gender and international migration from Albania |
0 |
0 |
0 |
79 |
1 |
2 |
17 |
268 |
| Armed conflict and gendered participation in agrifood systems: Survey evidence from 29 African countries |
0 |
0 |
1 |
13 |
0 |
0 |
13 |
30 |
| Assessing the risk of COVID-19 in Bangladesh |
0 |
0 |
0 |
1 |
0 |
1 |
3 |
16 |
| Assessing the risk of COVID-19 in Ethiopia |
0 |
0 |
0 |
2 |
0 |
0 |
6 |
12 |
| Assessing the risk of COVID-19 in Feed the Future countries |
0 |
0 |
0 |
11 |
1 |
1 |
10 |
48 |
| Assessing the risk of COVID-19 in Ghana |
0 |
0 |
0 |
3 |
0 |
0 |
7 |
15 |
| Assessing the risk of COVID-19 in Guatemala |
0 |
0 |
0 |
5 |
1 |
1 |
8 |
19 |
| Assessing the risk of COVID-19 in Honduras |
0 |
0 |
0 |
4 |
0 |
1 |
6 |
19 |
| Assessing the risk of COVID-19 in Kenya |
0 |
0 |
0 |
1 |
0 |
0 |
15 |
20 |
| Assessing the risk of COVID-19 in Mali |
0 |
0 |
0 |
0 |
0 |
0 |
7 |
14 |
| Assessing the risk of COVID-19 in Nepal |
0 |
0 |
0 |
3 |
0 |
0 |
13 |
19 |
| Assessing the risk of COVID-19 in Niger |
0 |
0 |
0 |
1 |
0 |
0 |
4 |
9 |
| Assessing the risk of COVID-19 in Nigeria |
0 |
0 |
0 |
1 |
1 |
1 |
8 |
18 |
| Assessing the risk of COVID-19 in Senegal |
0 |
0 |
0 |
0 |
0 |
0 |
7 |
13 |
| Assessing the risk of COVID-19 in Uganda |
0 |
0 |
1 |
2 |
0 |
0 |
11 |
22 |
| Choosing to Migrate or Migrating to Choose: Migration and Labor Choice in Albania |
0 |
0 |
0 |
46 |
1 |
2 |
16 |
160 |
| Choosing to Migrate or Migrating to Choose: Migration and Labour Choice in Albania |
0 |
1 |
2 |
99 |
2 |
3 |
22 |
430 |
| Choosing to migrate or migrating to choose: migration and labour choice in Albania |
0 |
0 |
0 |
0 |
2 |
2 |
6 |
35 |
| Climate change, gender, and nutrition: Support to USAID programs in Nigeria |
0 |
0 |
0 |
1 |
0 |
0 |
9 |
20 |
| Climate, climate shocks and child nutrition in Africa’s diverse farming systems |
0 |
0 |
1 |
42 |
2 |
2 |
16 |
90 |
| Does livestock ownership affect animal source foods consumption and child nutritional status ? evidence from rural Uganda |
0 |
0 |
0 |
64 |
0 |
0 |
9 |
116 |
| Examining the gender digital divide: A case study from rural Bangladesh |
0 |
1 |
2 |
8 |
0 |
1 |
7 |
21 |
| Examining the gender digital divide: A case study from rural Kenya |
0 |
0 |
1 |
6 |
0 |
1 |
27 |
38 |
| Examining the gender digital divide: A case study from rural Nigeria |
0 |
1 |
4 |
16 |
2 |
7 |
42 |
67 |
| Healthy planet, healthy people: Nature-positive contributions to food and nutrition security in Viet Nam |
0 |
0 |
1 |
9 |
0 |
1 |
12 |
20 |
| How weather variability and extreme shocks affect women's participation in African agriculture |
0 |
0 |
0 |
69 |
0 |
0 |
10 |
34 |
| Impacts of Africa RISING in Ghana |
0 |
0 |
0 |
2 |
1 |
1 |
10 |
13 |
| Impacts of Africa RISING in Malawi |
0 |
0 |
0 |
2 |
0 |
1 |
8 |
13 |
| Impacts of Africa RISING in Malawi |
0 |
0 |
0 |
1 |
0 |
0 |
10 |
13 |
| Impacts of Africa RISING in Mali |
0 |
0 |
1 |
6 |
0 |
0 |
7 |
11 |
| Impacts of Africa RISING in Mali |
0 |
0 |
0 |
1 |
1 |
1 |
8 |
15 |
| Impacts of Africa RISING in Tanzania |
0 |
0 |
0 |
5 |
0 |
1 |
10 |
14 |
| Investing in the Livestock Sector: Why Good Numbers Matter, A Sourcebook for Decision Makers on How to Improve Livestock Data |
0 |
0 |
1 |
17 |
0 |
1 |
14 |
78 |
| Literature review on linkages between child nutrition and economic growth |
0 |
0 |
0 |
22 |
0 |
1 |
13 |
48 |
| Livestock Ownership and Child Nutrition in Uganda: Evidence from a Panel Survey |
0 |
0 |
0 |
18 |
0 |
0 |
8 |
69 |
| Modeling migration dynamics in Albania: a hazard function approach |
0 |
0 |
0 |
94 |
1 |
1 |
12 |
232 |
| Monitoring Poverty without Consumption Data: An application using the Albania panel survey |
0 |
0 |
1 |
159 |
1 |
2 |
12 |
538 |
| Monitoring Poverty without Consumption Data: an Application Using the Albania Panel Survey |
0 |
0 |
0 |
4 |
1 |
1 |
13 |
44 |
| Nature-Positive Solutions Initiative baseline evaluation survey report: India |
0 |
0 |
0 |
2 |
0 |
1 |
14 |
16 |
| Nature-Positive Solutions Initiative survey report: Colombia |
0 |
0 |
0 |
0 |
1 |
1 |
11 |
11 |
| Nature-Positive Solutions initiative baseline evaluation survey report: Kenya |
0 |
0 |
0 |
0 |
1 |
1 |
16 |
19 |
| Nature-Positive Solutions initiative baseline evaluation survey report: Vietnam |
0 |
0 |
0 |
4 |
0 |
0 |
9 |
17 |
| Polycrisis in Agrifood Systems: Climate-Conflict Interactions and Labor Dynamics for Women and Youth in 21 African Countries |
0 |
0 |
0 |
9 |
1 |
1 |
26 |
36 |
| Polycrisis in Agrifood Systems: Climate-Conflict Interactions and Labor Dynamics for Women and Youth in 21 African Countries |
0 |
1 |
4 |
11 |
0 |
1 |
25 |
32 |
| Poverty in Mozambique: new evidence from recent household surveys |
0 |
0 |
1 |
145 |
2 |
2 |
44 |
439 |
| Scaling-up Agricultural Innovations: Who Should be Targeted? |
0 |
0 |
0 |
3 |
1 |
1 |
5 |
18 |
| Targeting, bias, and expected impact of complex innovations on developing-country agriculture: Evidence from Malawi |
0 |
0 |
0 |
45 |
0 |
1 |
16 |
151 |
| Technical efficiency and technological change of value chains in five Nigerian states |
0 |
0 |
1 |
32 |
0 |
1 |
6 |
81 |
| The Impact of Rising Food Prices on the Poor |
0 |
0 |
2 |
69 |
28 |
28 |
45 |
265 |
| The Impact of Rising Food Prices on the Poor |
0 |
0 |
1 |
339 |
2 |
4 |
30 |
1,277 |
| The impact of rising food prices on the poor |
0 |
0 |
1 |
8 |
1 |
3 |
18 |
67 |
| Weather variability and extreme shocks in Africa: Are female or male farmers more affected? |
0 |
1 |
2 |
28 |
0 |
1 |
6 |
43 |
| Weather variability and extreme shocks in Africa: are female or male farmers more affected? |
0 |
0 |
0 |
5 |
2 |
3 |
9 |
14 |
| Welfare, Intergenerational Distribution and Households: What Does Generational Accounting Tell Us? |
0 |
1 |
1 |
60 |
0 |
1 |
6 |
493 |
| Total Working Papers |
0 |
7 |
34 |
1,619 |
59 |
91 |
857 |
6,080 |
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