18 datasets found
  1. Best Economics PhD Program Rankings

    • dataandsons.com
    csv, zip
    Updated Aug 16, 2018
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    Sean Lux (2018). Best Economics PhD Program Rankings [Dataset]. https://www.dataandsons.com/categories/social-sciences/best-economics-phd-program-rankings
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Aug 16, 2018
    Dataset provided by
    Authors
    Sean Lux
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2014 - Dec 31, 2017
    Description

    About this Dataset

    Data & Sons recently completed our analysis of top tier economics journal publications from 2014 to 2017 and is pleased to announce the world’s top Economics PhD Programs based on alumni productivity.

    Category

    Social Sciences

    Keywords

    economics phd programs,best phd programs,best economics phd programs

    Row Count

    1491

    Price

    Free

  2. f

    Descriptive data for the ranking criteria of the 198 unique PhD applications...

    • figshare.com
    xls
    Updated Jun 3, 2023
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    Daniel L. Belavy; Patrick J. Owen; Patricia M. Livingston (2023). Descriptive data for the ranking criteria of the 198 unique PhD applications and risk of withdrawing from PhD. [Dataset]. http://doi.org/10.1371/journal.pone.0236327.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daniel L. Belavy; Patrick J. Owen; Patricia M. Livingston
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive data for the ranking criteria of the 198 unique PhD applications and risk of withdrawing from PhD.

  3. w

    BSA30 - Important Factors to Enterprises in Employing PHD Qualified...

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    json-stat, px
    Updated Mar 30, 2018
    + more versions
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    Central Statistics Office (2018). BSA30 - Important Factors to Enterprises in Employing PHD Qualified Researchers (%) by Sector of Activity, Year, Factor and Ranking [Dataset]. https://data.wu.ac.at/schema/data_gov_ie/MDFkNDk5ZGYtMDY0Mi00Nzc3LWJhNTQtNmZiYTZiMDdmNmEw
    Explore at:
    json-stat, pxAvailable download formats
    Dataset updated
    Mar 30, 2018
    Dataset provided by
    Central Statistics Office
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Important Factors to Enterprises in Employing PHD Qualified Researchers (%) by Sector of Activity, Year, Factor and Ranking

    View data using web pages

    Download .px file (Software required)

  4. Social Sciences Rankings 2025

    • timeshighereducation.com
    Updated Jan 22, 2025
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    Times Higher Education (THE) (2025). Social Sciences Rankings 2025 [Dataset]. https://www.timeshighereducation.com/world-university-rankings/2025/subject-ranking/social-sciences
    Explore at:
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    Times Higher Educationhttp://www.timeshighereducation.com/
    Authors
    Times Higher Education (THE)
    Description

    Data on the top universities for Social Sciences in 2025, including disciplines such as Communication & Media Studies, Geography, and Sociology.

  5. w

    BSA32 - Important Factors to Enterprises Hampering the Employment of more...

    • data.wu.ac.at
    json-stat, px
    Updated Mar 28, 2018
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    Central Statistics Office (2018). BSA32 - Important Factors to Enterprises Hampering the Employment of more PHD Researchers (%) by Nationality of Ownership, Year, Factor and Ranking [Dataset]. https://data.wu.ac.at/schema/data_gov_ie/M2JiNmViZjUtY2IwMi00YjFiLWFhNzgtNGYxMzgzZmU0NTg1
    Explore at:
    px, json-statAvailable download formats
    Dataset updated
    Mar 28, 2018
    Dataset provided by
    Central Statistics Office
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Important Factors to Enterprises Hampering the Employment of more PHD Researchers (%) by Nationality of Ownership, Year, Factor and Ranking

    View data using web pages

    Download .px file (Software required)

  6. U.S. states with the highest number of PhDs in life sciences 2021

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). U.S. states with the highest number of PhDs in life sciences 2021 [Dataset]. https://www.statista.com/statistics/1040884/states-with-the-greatest-number-of-phds-in-sciences-and-engineering-us/
    Explore at:
    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In the list of the ten states in the U.S. with the highest number of life sciences doctorates in 2021, California was ranked first with 1,237 such doctorates. California is widely known for being a leading hub in many technological areas.

  7. z

    Software Engineering PhD and Licentiate Theses in Sweden: Publication...

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv
    Updated Mar 3, 2021
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    Grischa Liebel; Grischa Liebel; Robert Feldt; Robert Feldt (2021). Software Engineering PhD and Licentiate Theses in Sweden: Publication statistics [Dataset]. http://doi.org/10.5281/zenodo.4573263
    Explore at:
    csv, binAvailable download formats
    Dataset updated
    Mar 3, 2021
    Dataset provided by
    Zenodo
    Authors
    Grischa Liebel; Grischa Liebel; Robert Feldt; Robert Feldt
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Sweden
    Description

    This simple dataset contains publication statistics of Swedish PhD and Licentiate thesis in Software Engineering from 1999 to 2018. The contents of this dataset were discussed in a blog post on https://grischaliebel.de.

    The data is offered in two formats, xlsx and csv, but with the same content. Names and affiliation are anonymised in the data set to prevent identification of subjects. In the following, we describe the content of the different columns in the table.

    • Level: 'lic' for Licentiate theses or 'phd' for PhD theses
    • Year: The year of publication of the thesis
    • Included: The total number of papers included in the compilation-style thesis.
    • Listed: Number of papers listed in addition to the included papers (basically "I have also published these, but they are not relevant to the thesis). Note that we cannot distinguish between cases, where no papers are listed because none are published, or because the author decided not to list them.
    • IncludedPublished: The amount of included papers that are published or accepted for publication.
    • IncludedSubmitted: The amount of included papers that in submission/under review.
    • IncludedPublishedISI: The amount of included, published papers that are in ISI-ranked journals.
    • IncludedPublishedNonISIJ: The amount of included, published papers that are in non ISI-ranked journals.
    • IncludedPublishedConf: The amount of included, published papers that are in CORE-ranked conferences (any grade).
    • IncludedPublishedWS: The amount of included, published papers that are in workshops. Non CORE-ranked conferences are counted as workshops as well.
    • IncludedPublishedOther: The amount of included, published papers that do not fit in any other category (e.g., book chapters, technical reports).
    • IncludedSubmitted*: Amount of included, submitted papers broken down by category (Journal, conference, workshop, and other).
    • ListedPublished*: Amount of listed, published papers broken down by category (ISI/Non-ISI Journal, conference, workshop, and other).
    • ListedSubmitted*: Amount of listed, submitted papers broken down by category (Journal, conference, workshop, and other).
  8. f

    Mean career index values by degree program, and difference between PhD and...

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
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    Michael J. Shott (2023). Mean career index values by degree program, and difference between PhD and BA/MA means, by cohort. 1. [Dataset]. http://doi.org/10.1371/journal.pone.0259038.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael J. Shott
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Mean career index values by degree program, and difference between PhD and BA/MA means, by cohort. 1.

  9. g

    Replication data for: The Research Productivity of New PhDs in Economics:...

    • search.gesis.org
    Updated Nov 13, 2019
    + more versions
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    ICPSR - Interuniversity Consortium for Political and Social Research (2019). Replication data for: The Research Productivity of New PhDs in Economics: The Surprisingly High Non-success of the Successful [Dataset]. http://doi.org/10.3886/E113931
    Explore at:
    Dataset updated
    Nov 13, 2019
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de702483https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de702483

    Description

    Abstract (en): We study the research productivity of new graduates from North American PhD programs in economics from 1986 to 2000. We find that research productivity drops off very quickly with class rank at all departments, and that the rank of the graduate departments themselves provides a surprisingly poor prediction of future research success. For example, at the top ten departments as a group, the median graduate has fewer than 0.03 American Economic Review (AER)-equivalent publications at year six after graduation, an untenurable record almost anywhere. We also find that PhD graduates of equal percentile rank from certain lower-ranked departments have stronger publication records than their counterparts at higher-ranked departments. In our data, for example, Carnegie Mellon's graduates at the 85th percentile of year-six research productivity outperform 85th percentile graduates of the University of Chicago, the University of Pennsylvania, Stanford, and Berkeley. These results suggest that even the top departments are not doing a very good job of training the great majority of their students to be successful research economists. Hiring committees may find these results helpful when trying to balance class rank and place of graduate in evaluating job candidates, and current graduate students may wish to re-evaluate their academic strategies in light of these findings.

  10. w

    BSA33 - Important Factors to Enterprises Hampering the Employment of more...

    • data.wu.ac.at
    json-stat, px
    Updated Mar 30, 2018
    + more versions
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    Central Statistics Office (2018). BSA33 - Important Factors to Enterprises Hampering the Employment of more PHD Researchers (%) by Sector of Activity, Year, Factor and Ranking [Dataset]. https://data.wu.ac.at/schema/data_gov_ie/OTU3MWY4YzYtZDdmNC00YTNjLTk2YmQtY2NkMDgzMDFkMTJi
    Explore at:
    json-stat, pxAvailable download formats
    Dataset updated
    Mar 30, 2018
    Dataset provided by
    Central Statistics Office
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Important Factors to Enterprises Hampering the Employment of more PHD Researchers (%) by Sector of Activity, Year, Factor and Ranking

    View data using web pages

    Download .px file (Software required)

  11. f

    Summary statistics for ranking and placement averages for anthropology...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Robert J. Speakman; Carla S. Hadden; Matthew H. Colvin; Justin Cramb; K. C. Jones; Travis W. Jones; Isabelle Lulewicz; Katharine G. Napora; Katherine L. Reinberger; Brandon T. Ritchison; Alexandra R. Edwards; Victor D. Thompson (2023). Summary statistics for ranking and placement averages for anthropology programs (1994–2014). [Dataset]. http://doi.org/10.1371/journal.pone.0202528.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Robert J. Speakman; Carla S. Hadden; Matthew H. Colvin; Justin Cramb; K. C. Jones; Travis W. Jones; Isabelle Lulewicz; Katharine G. Napora; Katherine L. Reinberger; Brandon T. Ritchison; Alexandra R. Edwards; Victor D. Thompson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary statistics for ranking and placement averages for Anthropology programs listed in S1 Table.

  12. f

    Observed, meritocratic, and random allocation to program level (BA, MA,...

    • figshare.com
    xls
    Updated Jun 7, 2023
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    Michael J. Shott (2023). Observed, meritocratic, and random allocation to program level (BA, MA, NRC-bottom-half PhD, NRC-top-half PhD) by quartiles (“qtl”) of h and hIann. 1. [Dataset]. http://doi.org/10.1371/journal.pone.0259038.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael J. Shott
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Observed, meritocratic, and random allocation to program level (BA, MA, NRC-bottom-half PhD, NRC-top-half PhD) by quartiles (“qtl”) of h and hIann. 1.

  13. f

    Precocity and career bibliographic measures (mean, standard deviation...

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Michael J. Shott (2023). Precocity and career bibliographic measures (mean, standard deviation [s.d.]) by program level for PhD year < 2002. 1. [Dataset]. http://doi.org/10.1371/journal.pone.0259038.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael J. Shott
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Precocity and career bibliographic measures (mean, standard deviation [s.d.]) by program level for PhD year < 2002. 1.

  14. Number of international students in the U.S. 2023/24, by country of origin

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). Number of international students in the U.S. 2023/24, by country of origin [Dataset]. https://www.statista.com/statistics/233880/international-students-in-the-us-by-country-of-origin/
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the academic year 2023/24, there were 331,602 international students from India studying in the United States. International students The majority of international students studying in the United States are originally from India and China, totaling 331,602 students and 277,398 students respectively in the 2023/24 school year. In 2022/23, there were 467,027 international graduate students , which accounted for over one third of the international students in the country. Typically, engineering and math & computer science programs were among the most common fields of study for these students. The United States is home to many world-renowned schools, most notably, the Ivy League Colleges which provide education that is sought after by both foreign and local students. International students and college Foreign students in the United States pay some of the highest fees in the United States, with an average of 24,914 U.S. dollars. American students attending a college in New England paid an average of 14,900 U.S. dollars for tuition alone and there were about 79,751 international students in Massachusetts . Among high-income families, U.S. students paid an average of 34,700 U.S. dollars for college, whereas the average for all U.S. families reached only 28,026 U.S. dollars. Typically, 40 percent of families paid for college tuition through parent income and savings, while 29 percent relied on grants and scholarships.

  15. f

    Trimmed-sample productivity means, overall and by specified cohorts of...

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Michael J. Shott (2023). Trimmed-sample productivity means, overall and by specified cohorts of professional age (years since PhD). [Dataset]. http://doi.org/10.1371/journal.pone.0259038.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael J. Shott
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Trimmed-sample productivity means, overall and by specified cohorts of professional age (years since PhD).

  16. r

    Supplemental data from the PhD thesis: Timbral transformation in...

    • researchdata.edu.au
    Updated May 16, 2023
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    Dobrowohl Felix (2023). Supplemental data from the PhD thesis: Timbral transformation in contemporary music: event generation, perception thresholds and mixing preferences [Dataset]. https://researchdata.edu.au/supplemental-phd-thesis-mixing-preferences/2368293
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    Dataset updated
    May 16, 2023
    Dataset provided by
    Western Sydney University
    Authors
    Dobrowohl Felix
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This series of experiments is explicitly focused on listeners’ ability to detect change in timbre or sound, rather than differentiating different sounds or sound identities from one another.

    The dataset includes auditory stimuli from the experiments, example sounds of experiment results, R and Matlab code for the utilised data analysis, MaxMSP code for running the experiments and a soundfile for the experimental result of research-led practice.

    Available downloads:

    • Exp01.zip – max routine used for experiment 1, including executable max file (“START HERE – Experiment01.maxpat”), stimuli folder (“Stimuli07”), dummy stimuli (“nullstimuli”) and participant motivating reward pictures (“pictures”)
    • Exp01–Analysis.zip – Archive, containing the raw data (“data09.csv”) as well as the Matlab PT plotting script (“means_plot_overall.m”) and musicianship comparison script (“muso_nonmuso.m”) (requires “errorbars_groups” matlab function)
    • Exp02.zip – max routine used for experiment 2, including executable max file (“START HERE – Experiment02.maxpat”), stimuli folder (“MatStims”), dummy stimuli (“NullStims”) and participant motivating reward pictures (“pictures”)
    • Exp02–Analysis.zip - Archive, containing the raw data (“Exp02data.csv”) as well as the Matlab PT plotting script (“TT-Script.m”) (requires “errorbars_groups” matlab function)
    • Exp03.zip – max routine used for experiment 3, including executable max file (“START HERE – Experiment 3.maxpat”) and included synthesiser- (MIDI) and drum-loops (audio)
    • Exp03–Analysis.zip – Archive, containing the raw rating data (Ratings.csv + MyMixExp03.csv) as well as the Matlab plotting script (exp3rat.m) (requires “errorbars_groups” matlab function)
    • Exp04.zip – max routine used for experiment 4, including executable max file (“START HERE – Experiment 4.maxpat”), synthesiser- (MIDI) and drum-loops (audio) and mix-ranking comparison songs
    • Exp 4–Analysis.zip – Archive, containing the raw ranking+FX data (“RatingsExp4.csv”, “MyMixExp04.csv”, “GMSIExp4.csv”, “LongSetExp04.csv”, “longdesc.csv”, “fulldesc.csv”) and the R analysis script (“Exp4.R”)
    • Exp03_04–Songs.zip – Sawtooth-Mix and Expert-Mix examples of the songs featured in experiment 3 and 4
    • GrinDrone.wav – musical piece, focus part of chapter 10, research-led practice

  17. f

    Precocity and career measures (mean, standard deviation [s.d.]) by NRC rank...

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Michael J. Shott (2023). Precocity and career measures (mean, standard deviation [s.d.]) by NRC rank upper and lower halves, and descending quartiles. [Dataset]. http://doi.org/10.1371/journal.pone.0259038.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael J. Shott
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Precocity and career measures (mean, standard deviation [s.d.]) by NRC rank upper and lower halves, and descending quartiles.

  18. f

    Precocity and career bibliographic measures by program level.

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Michael J. Shott (2023). Precocity and career bibliographic measures by program level. [Dataset]. http://doi.org/10.1371/journal.pone.0259038.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael J. Shott
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Precocity and career bibliographic measures by program level.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Sean Lux (2018). Best Economics PhD Program Rankings [Dataset]. https://www.dataandsons.com/categories/social-sciences/best-economics-phd-program-rankings
Organization logo

Best Economics PhD Program Rankings

Explore at:
csv, zipAvailable download formats
Dataset updated
Aug 16, 2018
Dataset provided by
Authors
Sean Lux
License

Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically

Time period covered
Jan 1, 2014 - Dec 31, 2017
Description

About this Dataset

Data & Sons recently completed our analysis of top tier economics journal publications from 2014 to 2017 and is pleased to announce the world’s top Economics PhD Programs based on alumni productivity.

Category

Social Sciences

Keywords

economics phd programs,best phd programs,best economics phd programs

Row Count

1491

Price

Free

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