Rumman Khan
Biographic Data
| ID | 6460018 |
|---|---|
| NAME | Rumman Khan |
| GIVEN NAMES | Rumman |
| FAMILY NAME | Khan |
| SIGNATURE | KHAN R |
| AFFILIATIONS | School of Economics University of Bristol Bristol UK |
| ORCID | 0000-0003-3735-9730 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Income diversification and household welfare in Uganda 1992–2012
We use five waves of household surveys in Uganda, from 1992/3 to 2011/12, to study income diversification and its effect on the welfare of rural and urban households during a period of sustained economic growth and poverty reduction, comparing the 1990s to the 2000s, and disaggregating by gender of the household head. Diversification is measured in terms of access to incomes from agriculture (farming), agricultural wage, self-employment (informal…
Under-utilised crops and rural livelihoods
Indigenous crops are often neglected in development research, largely because they are grown in particular localities and only account for modest shares of agricultural production at a national level. This article aims to rectify this neglect with respect to the Bambara groundnut using a mixed methods study of farmers in Mtwara, Tanzania. The interest is in determining the importance of the crop in local production patterns and livelihoods, as we…
Assessing Sampling Error in Pseudo‐Panel Models
While pseudo‐panels are useful when only repeated cross‐section data are available, estimates are likely to be attenuated and suffer from sampling error if cell sizes (number of individuals grouped together in a cohort) are too few. However, there is no consensus on how large cell size needs to be, with recommendations ranging from 100 to several thousands. This is due to sampling error being affected by both cell size and three important types o…
Income diversification and household welfare in Uganda 1992–2012
We use five waves of household surveys in Uganda, from 1992/3 to 2011/12, to study income diversification and its effect on the welfare of rural and urban households during a period of sustained economic growth and poverty reduction, comparing the 1990s to the 2000s, and disaggregating by gender of the household head. Diversification is measured in terms of access to incomes from agriculture (farming), agricultural wage, self-employment (informal…
Under-utilised crops and rural livelihoods
Indigenous crops are often neglected in development research, largely because they are grown in particular localities and only account for modest shares of agricultural production at a national level. This article aims to rectify this neglect with respect to the Bambara groundnut using a mixed methods study of farmers in Mtwara, Tanzania. The interest is in determining the importance of the crop in local production patterns and livelihoods, as we…
Assessing Sampling Error in Pseudo‐Panel Models
While pseudo‐panels are useful when only repeated cross‐section data are available, estimates are likely to be attenuated and suffer from sampling error if cell sizes (number of individuals grouped together in a cohort) are too few. However, there is no consensus on how large cell size needs to be, with recommendations ranging from 100 to several thousands. This is due to sampling error being affected by both cell size and three important types o…
Income diversification and household welfare in Uganda 1992–2012
We use five waves of household surveys in Uganda, from 1992/3 to 2011/12, to study income diversification and its effect on the welfare of rural and urban households during a period of sustained economic growth and poverty reduction, comparing the 1990s to the 2000s, and disaggregating by gender of the household head. Diversification is measured in terms of access to incomes from agriculture (farming), agricultural wage, self-employment (informal…
Agriculture (2 works) · Business (2 works) · Economics (2 works) · Geography (2 works) · Livelihood (2 works) · Socioeconomics (2 works) · Agricultural economics (1 work) · Agricultural Innovations and Practices (1 work) · Agricultural pest management studies (1 work) · Agricultural productivity (1 work)