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Linden McBride

Biographic Data

ID6456125
NAMELinden McBride
GIVEN NAMESLinden
FAMILY NAMEMcBride
SIGNATUREMCBRIDE L
AFFILIATIONSCornell University
ORCID0000-0002-9475-7850
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS11
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2018
H-INDEX2
  • Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning

    Open Access•Linden McBride, Austin Nichols•BOOK•2018

    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

    Open Access•Julia Berazneva, Linden McBride et al.•ARTICLE•World Development•2018•Cited by: 2•References: 2

  • Retooling Poverty Targeting Using Out-of-Sample Validation and Machine Learning

    Open Access•Linden McBride, Austin Nichols et al.•BOOK•2016

    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

    Open Access•Alejandro Nin‐Pratt, Alejandro Nin-Pratt et al.•ARTICLE•Food Policy•2014•Cited by: 9•References: 11

    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

    Open Access•Alejandro Nin‐Pratt, Alejandro Nin-Pratt et al.•ARTICLE•Food Policy•2014•Cited by: 9•References: 11

    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

    Open Access•Julia Berazneva, Linden McBride et al.•ARTICLE•World Development•2018•Cited by: 2•References: 2

  • Agricultural intensification in Ghana

    Open Access•Alejandro Nin‐Pratt, Alejandro Nin-Pratt et al.•ARTICLE•Food Policy•2014•Cited by: 9•References: 11

    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

    Open Access•Linden McBride, Austin Nichols et al.•BOOK•2016

    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

    Open Access•Linden McBride, Austin Nichols•BOOK•2018

    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

    Open Access•Julia Berazneva, Linden McBride et al.•ARTICLE•World Development•2018•Cited by: 2•References: 2

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)

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