Multiple Experiments for the Causal Link between the Quantity and Quality of Children
Impact in
- Gender Studies 171
Classified as
- Journal
- Journal of Labor Economics
In The Last Decade
doi.org/10.1086/653830 →Countries where authors are citing Multiple Experiments for the Causal Link between the Quantity and Quality of Children
This map shows the geographic impact of Multiple Experiments for the Causal Link between the Quantity and Quality of Children. 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 Multiple Experiments for the Causal Link between the Quantity and Quality of Children with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multiple Experiments for the Causal Link between the Quantity and Quality of Children more than expected).
Fields of papers citing Multiple Experiments for the Causal Link between the Quantity and Quality of Children
This network shows the impact of Multiple Experiments for the Causal Link between the Quantity and Quality of Children. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multiple Experiments for the Causal Link between the Quantity and Quality of Children.
About Multiple Experiments for the Causal Link between the Quantity and Quality of Children
This paper, published in 2010, received 325 indexed citations . Written by Joshua D. Angrist, Victor Lavy and Analía Schlosser covering the research area of Safety Research and Gender Studies. It is primarily cited by scholars working on Gender Studies (171 citations), Sociology and Political Science (114 citations), Demography (108 citations), Safety Research (96 citations) and Pediatrics, Perinatology and Child Health (77 citations). Published in Journal of Labor Economics.
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/10.1086/653830.