Linden McBride
Biographic Data
| ID | 6456125 |
|---|---|
| NAME | Linden McBride |
| GIVEN NAMES | Linden |
| FAMILY NAME | McBride |
| SIGNATURE | MCBRIDE L |
| AFFILIATIONS | Cornell University |
| ORCID | 0000-0002-9475-7850 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 2 |
Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning
Proxy means test (PMT) poverty targeting tools have become common tools for beneficiary targeting and poverty assessment where full means tests are costly. Currently popular estimation procedures for generating these tools prioritize minimization of in-sample prediction errors; however, the objective in generating such tools is out-of-sample prediction.We present evidence that prioritizing minimal out-of-sample error, identified through cross-val…
Empirical assessment of subjective and objective soil fertility metrics in east Africa
Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning
Proxy means test (PMT) poverty targeting tools have become common tools for beneficiary targeting and poverty assessment where full means tests are costly. Currently popular estimation procedures for generating these tools prioritize minimization of in-sample prediction errors; however, the objective in generating such tools is out-of-sample prediction. This paper presents evidence that prioritizing minimal out-of-sample error, identified through…
Agricultural intensification in Ghana
While there are valid reasons for a renewed interest in adapting the lessons of the Asian Green Revolution to the African setting, research must go further in identifying the main, and potentially unique, drivers of agricultural intensification within and across African countries. In this study we look at the case of Ghana to identify whether fast population growth and the remarkable agricultural performance the country has enjoyed in recent year…
Agricultural intensification in Ghana
While there are valid reasons for a renewed interest in adapting the lessons of the Asian Green Revolution to the African setting, research must go further in identifying the main, and potentially unique, drivers of agricultural intensification within and across African countries. In this study we look at the case of Ghana to identify whether fast population growth and the remarkable agricultural performance the country has enjoyed in recent year…
Empirical assessment of subjective and objective soil fertility metrics in east Africa
Agricultural intensification in Ghana
While there are valid reasons for a renewed interest in adapting the lessons of the Asian Green Revolution to the African setting, research must go further in identifying the main, and potentially unique, drivers of agricultural intensification within and across African countries. In this study we look at the case of Ghana to identify whether fast population growth and the remarkable agricultural performance the country has enjoyed in recent year…
Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning
Proxy means test (PMT) poverty targeting tools have become common tools for beneficiary targeting and poverty assessment where full means tests are costly. Currently popular estimation procedures for generating these tools prioritize minimization of in-sample prediction errors; however, the objective in generating such tools is out-of-sample prediction. This paper presents evidence that prioritizing minimal out-of-sample error, identified through…
Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning
Proxy means test (PMT) poverty targeting tools have become common tools for beneficiary targeting and poverty assessment where full means tests are costly. Currently popular estimation procedures for generating these tools prioritize minimization of in-sample prediction errors; however, the objective in generating such tools is out-of-sample prediction.We present evidence that prioritizing minimal out-of-sample error, identified through cross-val…
Empirical assessment of subjective and objective soil fertility metrics in east Africa
Economic growth (3 works) · Economics (3 works) · Agricultural Innovations and Practices (2 works) · Agricultural risk and resilience (2 works) · Agriculture (2 works) · Computer Science (2 works) · Geography (2 works) · Income, Poverty, and Inequality (2 works) · Poverty (2 works) · Poverty, Education, and Child Welfare (2 works)