| 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 |
0 |
38 |
| Africa RISING in Malawi – impact brief |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
4 |
| Africa RISING in Mali – impact brief |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
2 |
| Agency, Education and Networks: Gender and International Migration from Albania |
0 |
0 |
0 |
27 |
1 |
3 |
5 |
232 |
| Agency, education and networks: Gender and international migration from Albania |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
16 |
| Agency, education and networks: gender and international migration from Albania |
0 |
0 |
0 |
78 |
0 |
2 |
4 |
250 |
| Assessing the risk of COVID-19 in Bangladesh |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
13 |
| Assessing the risk of COVID-19 in Ethiopia |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
5 |
| Assessing the risk of COVID-19 in Feed the Future countries |
0 |
0 |
0 |
11 |
0 |
2 |
4 |
38 |
| Assessing the risk of COVID-19 in Ghana |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
8 |
| Assessing the risk of COVID-19 in Guatemala |
0 |
1 |
2 |
5 |
0 |
1 |
2 |
11 |
| Assessing the risk of COVID-19 in Honduras |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
13 |
| Assessing the risk of COVID-19 in Kenya |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
5 |
| Assessing the risk of COVID-19 in Mali |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |
| Assessing the risk of COVID-19 in Nepal |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
6 |
| Assessing the risk of COVID-19 in Niger |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
5 |
| Assessing the risk of COVID-19 in Nigeria |
0 |
0 |
1 |
1 |
0 |
0 |
3 |
10 |
| Assessing the risk of COVID-19 in Senegal |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
| Assessing the risk of COVID-19 in Uganda |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
10 |
| Choosing to Migrate or Migrating to Choose: Migration and Labor Choice in Albania |
0 |
0 |
0 |
46 |
0 |
1 |
1 |
144 |
| Choosing to Migrate or Migrating to Choose: Migration and Labour Choice in Albania |
0 |
0 |
0 |
97 |
0 |
1 |
3 |
407 |
| Choosing to migrate or migrating to choose: migration and labour choice in Albania |
0 |
0 |
0 |
0 |
1 |
2 |
4 |
28 |
| Climate change, gender, and nutrition: Support to USAID programs in Nigeria |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
11 |
| Climate, climate shocks and child nutrition in Africa’s diverse farming systems |
0 |
0 |
0 |
41 |
1 |
1 |
2 |
74 |
| Does livestock ownership affect animal source foods consumption and child nutritional status ? evidence from rural Uganda |
0 |
0 |
0 |
64 |
0 |
1 |
4 |
107 |
| Examining the gender digital divide: A case study from rural Bangladesh |
0 |
0 |
1 |
6 |
0 |
2 |
7 |
13 |
| Examining the gender digital divide: A case study from rural Kenya |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
11 |
| Examining the gender digital divide: A case study from rural Nigeria |
0 |
1 |
2 |
10 |
2 |
3 |
6 |
20 |
| How weather variability and extreme shocks affect women's participation in African agriculture |
0 |
0 |
1 |
69 |
0 |
0 |
1 |
24 |
| Impacts of Africa RISING in Malawi |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
4 |
| Impacts of Africa RISING in Mali |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
3 |
| Investing in the Livestock Sector: Why Good Numbers Matter, A Sourcebook for Decision Makers on How to Improve Livestock Data |
0 |
0 |
0 |
16 |
0 |
0 |
2 |
63 |
| Literature review on linkages between child nutrition and economic growth |
0 |
0 |
2 |
22 |
0 |
0 |
2 |
35 |
| Livestock Ownership and Child Nutrition in Uganda: Evidence from a Panel Survey |
0 |
0 |
1 |
18 |
0 |
1 |
6 |
60 |
| Modeling migration dynamics in Albania: a hazard function approach |
0 |
0 |
2 |
94 |
2 |
2 |
7 |
220 |
| Monitoring Poverty without Consumption Data: An application using the Albania panel survey |
0 |
0 |
0 |
158 |
0 |
1 |
1 |
526 |
| Monitoring Poverty without Consumption Data: an Application Using the Albania Panel Survey |
0 |
0 |
0 |
4 |
0 |
1 |
1 |
31 |
| Poverty in Mozambique: new evidence from recent household surveys |
0 |
0 |
0 |
143 |
0 |
2 |
5 |
392 |
| Scaling-up Agricultural Innovations: Who Should be Targeted? |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
13 |
| Targeting, bias, and expected impact of complex innovations on developing-country agriculture: Evidence from Malawi |
0 |
0 |
0 |
45 |
0 |
1 |
5 |
134 |
| Technical efficiency and technological change of value chains in five Nigerian states |
0 |
0 |
2 |
30 |
0 |
2 |
6 |
73 |
| The Impact of Rising Food Prices on the Poor |
0 |
0 |
3 |
337 |
0 |
2 |
13 |
1,243 |
| The Impact of Rising Food Prices on the Poor |
0 |
0 |
3 |
67 |
0 |
0 |
14 |
218 |
| The impact of rising food prices on the poor |
0 |
0 |
0 |
7 |
2 |
2 |
5 |
48 |
| Weather variability and extreme shocks in Africa: Are female or male farmers more affected? |
0 |
0 |
1 |
23 |
0 |
0 |
3 |
32 |
| Welfare, Intergenerational Distribution and Households: What Does Generational Accounting Tell Us? |
0 |
0 |
1 |
59 |
0 |
0 |
2 |
486 |
| Total Working Papers |
0 |
2 |
22 |
1,518 |
9 |
34 |
124 |
5,098 |
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