Olive Sweetman

430 total citations
27 papers, 214 citations indexed

About

Olive Sweetman is a scholar working on Economics and Econometrics, Sociology and Political Science and Education. According to data from OpenAlex, Olive Sweetman has authored 27 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 11 papers in Sociology and Political Science and 6 papers in Education. Recurrent topics in Olive Sweetman's work include Labor market dynamics and wage inequality (12 papers), Intergenerational and Educational Inequality Studies (7 papers) and Monetary Policy and Economic Impact (5 papers). Olive Sweetman is often cited by papers focused on Labor market dynamics and wage inequality (12 papers), Intergenerational and Educational Inequality Studies (7 papers) and Monetary Policy and Economic Impact (5 papers). Olive Sweetman collaborates with scholars based in Ireland, Germany and Belgium. Olive Sweetman's co-authors include Dónal O’Neill, Dirk Van de gaer, Peter Dolton, Brian Nolan, Bertrand Maître, Helen Russell, Tim Callan, Alan Barrett, Delma Byrne and David Raffe and has published in prestigious journals such as Economica, The Journal of Human Resources and The Stata Journal Promoting communications on statistics and Stata.

In The Last Decade

Olive Sweetman

24 papers receiving 175 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Olive Sweetman Ireland	9	100	87	52	34	30	27	214
Eduardo Luiz Gonçalves Rios-Neto Brazil	9	77 0.8×	92 1.1×	45 0.9×	55 1.6×	22 0.7×	46	249
Kelly Buckley United Kingdom	5	62 0.6×	117 1.3×	59 1.1×	21 0.6×	24 0.8×	8	295
Roel Jennissen Netherlands	8	57 0.6×	199 2.3×	41 0.8×	16 0.5×	31 1.0×	25	277
Teo Matković Croatia	9	69 0.7×	100 1.1×	39 0.8×	29 0.9×	57 1.9×	51	232
Michael Oberfichtner Germany	8	97 1.0×	54 0.6×	104 2.0×	17 0.5×	31 1.0×	30	254
Matthew Di Carlo United States	4	86 0.9×	244 2.8×	60 1.2×	45 1.3×	58 1.9×	11	327
Briggs Depew United States	11	167 1.7×	85 1.0×	99 1.9×	41 1.2×	10 0.3×	19	298
C. Lockwood Reynolds United States	7	169 1.7×	80 0.9×	22 0.4×	121 3.6×	28 0.9×	18	300
Veli‐Matti Ritakallio Finland	8	31 0.3×	135 1.6×	74 1.4×	16 0.5×	78 2.6×	15	235
Jacob Bastian United States	5	110 1.1×	104 1.2×	50 1.0×	27 0.8×	21 0.7×	13	273

Countries citing papers authored by Olive Sweetman

Since Specialization

Citations

This map shows the geographic impact of Olive Sweetman's research. 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 Olive Sweetman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olive Sweetman more than expected).

Fields of papers citing papers by Olive Sweetman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olive Sweetman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Olive Sweetman. The network helps show where Olive Sweetman may publish in the future.

Co-authorship network of co-authors of Olive Sweetman

This figure shows the co-authorship network connecting the top 25 collaborators of Olive Sweetman. A scholar is included among the top collaborators of Olive Sweetman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olive Sweetman. Olive Sweetman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

O’Neill, Dónal, et al.. (2022). Why Do the Earnings of Male and Female Graduates Diverge? The Role of Motherhood and Job Dynamics. SSRN Electronic Journal.

O’Neill, Dónal, et al.. (2019). How Important are Firms in Explaining Wage Changes During a Recession?. Economica. 87(345). 282–298. 1 indexed citations

O’Neill, Dónal, et al.. (2019). Good Schools or Good Students? The Importance of Selectivity for School Rankings. SSRN Electronic Journal. 4 indexed citations

O’Neill, Dónal, et al.. (2017). Does Reducing Unemployment Benefits During a Recession Reduce Youth Unemployment? Evidence from a 50% Cut in Unemployment Assistance. SSRN Electronic Journal.

Byrne, Delma, et al.. (2015). An Evaluation of the HEAR and DARE Supplementary Admission Routes to Higher Education. Maynooth University ePrints and eTheses Archive (Maynooth University). 7 indexed citations

O’Neill, Dónal & Olive Sweetman. (2015). Bounding obesity rates in the presence of self-reporting errors. Empirical Economics. 50(3). 857–871. 1 indexed citations

O’Neill, Dónal & Olive Sweetman. (2013). The consequences of measurement error when estimating the impact of obesity on income. Maynooth University ePrints and eTheses Archive (Maynooth University). 2(1). 25 indexed citations

O’Neill, Dónal & Olive Sweetman. (2013). Estimating Obesity Rates in the Presence ofMeasurement Error. IZA Discussion Paper No. 7288. 1 indexed citations

O’Neill, Dónal, et al.. (2012). Gender, Single-Sex Schooling and Maths Achievement. IZA Discussion Paper No. 6917. Maynooth University ePrints and eTheses Archive (Maynooth University). 1 indexed citations

10.

O’Neill, Dónal, et al.. (2012). Identification of the covariance structure of earnings using the GMM estimator. The Journal of Economic Inequality. 11(3). 343–372. 12 indexed citations

11.

O’Neill, Dónal & Olive Sweetman. (2012). The Consequences of Measurement Error When Estimating the Impact of BMI on Labour Market Outcomes. SSRN Electronic Journal. 2 indexed citations

12.

O’Neill, Dónal, et al.. (2011). GMM Estimation of the Covariance Structure of Longitudinal Data on Earnings. The Stata Journal Promoting communications on statistics and Stata. 11(3). 439–459. 7 indexed citations

13.

O’Neill, Dónal, et al.. (2010). Identification of the Covariance Structure of Earnings Using the GMM Estimator. SSRN Electronic Journal. 4 indexed citations

14.

O’Neill, Dónal, et al.. (2008). Does Growth Affect the Nature of Inequality? Ireland 1994-2001. SSRN Electronic Journal. 1 indexed citations

15.

O’Neill, Dónal, Olive Sweetman, & Dirk Van de gaer. (2006). The effects of measurement error and omitted variables when using transition matrices to measure intergenerational mobility. The Journal of Economic Inequality. 5(2). 159–178. 28 indexed citations

16.

O’Neill, Dónal, Olive Sweetman, & Dirk Van de gaer. (2005). The impact of cognitive skills on the distribution of the black-white wage gap. Labour Economics. 13(3). 343–356. 10 indexed citations

17.

Sweetman, Olive, et al.. (2001). Inequality in Ireland 1987-1994: A Comparison Using Measures of Income and Consumption>. Journal of Income Distribution. 1 indexed citations

18.

Barrett, Alan, et al.. (2000). How unequal? : men and women in the Irish labour market. Medical Entomology and Zoology. 15 indexed citations

19.

Nolan, Brian, et al.. (2000). The distribution of income in Ireland. OpenGrey (Institut de l'Information Scientifique et Technique). 14 indexed citations

20.

Dolton, Peter, Dónal O’Neill, & Olive Sweetman. (1996). Gender Differences in the Changing Labor Market: The Role of Legislation and Inequality in Changing the Wage Gap for Qualified Workers in the United Kingdom. The Journal of Human Resources. 31(3). 549–549. 12 indexed citations

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.

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