No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery
Impact in
- Safety Research 129
Classified as
- Journal
- Digital Access to Scholarship at Harvard (DASH) (Harvard University)
In The Last Decade
doi.org/w323183 →Countries where authors are citing No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery
This map shows the geographic impact of No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery more than expected).
Fields of papers citing No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery
This network shows the impact of No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery.
About No Margin, No Mission? A Field Experiment on Incentives for Public Services Delivery
This paper, published in 2014, received 273 indexed citations . Written by Nava Ashraf, Oriana Bandiera and B. Kelsey Jack covering the research area of Safety Research and Economics and Econometrics. It is primarily cited by scholars working on Safety Research (129 citations), Economics and Econometrics (112 citations), Sociology and Political Science (66 citations), Pediatrics, Perinatology and Child Health (32 citations) and Demography (30 citations). Published in Digital Access to Scholarship at Harvard (DASH) (Harvard University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w323183.