Assessing Community Wellbeing Using Google Street‐View and Satellite Imagery

Diego‐Rosell, Pablo; Nichols, Stafford; Srinivasan, Rajesh; Dilday, B.

doi:10.1002/9781118976357.ch15

Cited by 2 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach has, for example, been used to link health outcomes, crime, or well-being reports to neighbourhood conditions (see e.g. Diego-Rosell et al 2020;He et al 2017;Rzotkiewicz et al 2018).…”

Section: Measuring Neighbourhood Infrastructure Qualitymentioning

confidence: 99%

Compliance rates with local and national business taxes: Evidence from Kampala, Uganda

Vincent,

Dietrich,

McNabb

2023

WIDER Working Paper

View full text Add to dashboard Cite

show abstract

Section: Measuring Neighbourhood Infrastructure Qualitymentioning

confidence: 99%

Compliance rates with local and national business taxes: Evidence from Kampala, Uganda

Vincent,

Dietrich,

McNabb

2023

WIDER Working Paper

View full text Add to dashboard Cite

show abstract

“…These concerns, combined with the huge opportunities that these new modes of data collection provide, are generating significant attention in recent literature (see Hill et al, 2019 and some of the papers cited therein, including Buil-Gil et al, 2020;Diego-Rosell et al, 2020;Salganik, 2017).…”

Section: Mode Of Data Collectionmentioning

confidence: 99%

Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage

Carletto¹,

Dillon²,

Zezza³

2021

Policy Research Working Papers

View full text Add to dashboard Cite

The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Policy Research Working Paper 9745Advances in agricultural data production provide ever-increasing opportunities for pushing the research frontier in agricultural economics and designing better agricultural policy. As new technologies present opportunities to create new and integrated data sources, researchers face trade-offs in survey design that may reduce measurement error or increase coverage. This paper first reviews the econometric and survey methodology literatures that focus on the sources of measurement error and coverage bias in agricultural data collection. Second, it provides examples of how agricultural data structure affects testable empirical models. Finally, it reviews the challenges and opportunities offered by technological innovation to meet old and new data demands and address key empirical questions, focusing on the scalable data innovations of greatest potential impact for empirical methods and research. This paper is a product of the Development Data Group, Development Economics. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world.

show abstract

Assessing Community Wellbeing Using Google Street‐View and Satellite Imagery

Cited by 2 publications

References 12 publications

Compliance rates with local and national business taxes: Evidence from Kampala, Uganda

Compliance rates with local and national business taxes: Evidence from Kampala, Uganda

Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage

Contact Info

Product

Resources

About