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Bradley James Speigner

Personal Details

First Name:Bradley
Middle Name:James
Last Name:Speigner
Suffix:
RePEc Short-ID:psp158

Affiliation

Bank of England

London, United Kingdom
http://www.bankofengland.co.uk/
RePEc:edi:boegvuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Arthur Turrell & Bradley J. Speigner & Jyldyz Djumalieva & David Copple & James Thurgood, 2019. "Transforming Naturally Occurring Text Data Into Economic Statistics: The Case of Online Job Vacancy Postings," NBER Working Papers 25837, National Bureau of Economic Research, Inc.
  2. Turrell, Arthur & Thurgood, James & Djumalieva, Jyldyz & Copple, David & Speigner, Bradley, 2018. "Using online job vacancies to understand the UK labour market from the bottom-up," Bank of England working papers 742, Bank of England.
  3. Turrell, Arthur & Speigner, Bradley & Djumalieva, Jyldyz & Copple, David & Thurgood, James, 2018. "Using job vacancies to understand the effects of labour market mismatch on UK output and productivity," Bank of England working papers 737, Bank of England.
  4. Pizzinelli, Carlo & Speigner, Bradley, 2017. "Matching efficiency and labour market heterogeneity in the United Kingdom," Bank of England working papers 667, Bank of England.
  5. Speigner, Bradley, 2014. "Long-term unemployment and convexity in the Phillips curve," Bank of England working papers 519, Bank of England.

Articles

  1. berry, Stuart & Corder, Matthew & Duffy, Chris & Hackworth, Christpoher & Speigner, Bradley, 2015. "Trends in UK labour supply," Bank of England Quarterly Bulletin, Bank of England, vol. 55(4), pages 344-356.

Chapters

  1. Arthur Turrell & Bradley Speigner & Jyldyz Djumalieva & David Copple & James Thurgood, 2019. "Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 173-207, National Bureau of Economic Research, Inc.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Arthur Turrell & Bradley J. Speigner & Jyldyz Djumalieva & David Copple & James Thurgood, 2019. "Transforming Naturally Occurring Text Data Into Economic Statistics: The Case of Online Job Vacancy Postings," NBER Working Papers 25837, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bellatin, Alejandra & Galassi, Gabriela, 2022. "What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada," IZA Discussion Papers 15209, Institute of Labor Economics (IZA).
    2. Faryna, Oleksandr & Pham, Tho & Talavera, Oleksandr & Tsapin, Andriy, 2020. "Wage Setting and Unemployment: Evidence from Online Job Vacancy Data," GLO Discussion Paper Series 503, Global Labor Organization (GLO).
    3. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    4. Caglayan, Mustafa & Talavera, Oleksandr & Xiong, Lin, 2022. "Female small business owners in China: Discouraged, not discriminated," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    5. Vydra Simon & Kantorowicz Jaroslaw, 2021. "Tracing Policy-relevant Information in Social Media: The Case of Twitter before and during the COVID-19 Crisis," Statistics, Politics and Policy, De Gruyter, vol. 12(1), pages 87-127, June.
    6. Faryna, Oleksandr & Pham, Tho & Talavera, Oleksandr & Tsapin, Andriy, 2022. "Wage and unemployment: Evidence from online job vacancy data," Journal of Comparative Economics, Elsevier, vol. 50(1), pages 52-70.
    7. Vacha, Stepan, 2021. "Labour demand in the UK during the COVID-19 pandemic : evidence from online job postings," Warwick-Monash Economics Student Papers 13, Warwick Monash Economics Student Papers.
    8. Pietro Giorgio Lovaglio, 2022. "Do job vacancies variations anticipate employment variations by sector? Some preliminary evidence from Italy," LABOUR, CEIS, vol. 36(1), pages 71-93, March.
    9. Stef Garasto & Jyldyz Djumalieva & Karlis Kanders & Rachel Wilcock & Cath Sleeman, 2021. "Developing experimental estimates of regional skill demand," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-02, Economic Statistics Centre of Excellence (ESCoE).
    10. David Evans & Claire Mason & Haohui Chen & Andrew Reeson, 2024. "Accelerated demand for interpersonal skills in the Australian post-pandemic labour market," Nature Human Behaviour, Nature, vol. 8(1), pages 32-42, January.
    11. Kakuho Furukawa & Yoshihiko Hogen & Yosuke Kido, "undated". "Labor Market of Regular Workers in Japan: A Perspective from Job Advertisement Data," Bank of Japan Working Paper Series 23-E-7, Bank of Japan.
    12. Mary A. Burke & Alicia Sasser Modestino & Shahriar Sadighi & Rachel B. Sederberg & Bledi Taska, 2019. "No Longer Qualified? Changes in the Supply and Demand for Skills within Occupations," Working Papers 20-3, Federal Reserve Bank of Boston.
    13. Turrell, Arthur & Speigner, Bradley & Copple, David & Djumalieva, Jyldyz & Thurgood, James, 2021. "Is the UK’s productivity puzzle mostly driven by occupational mismatch? An analysis using big data on job vacancies," Labour Economics, Elsevier, vol. 71(C).
    14. He, Chuan & Mau, Karsten & Xu, Mingzhi, 2021. "Trade Shocks and Firms Hiring Decisions: Evidence from Vacancy Postings of Chinese Firms in the Trade War," Labour Economics, Elsevier, vol. 71(C).
    15. Joel Alcedo & Alberto Cavallo & Bricklin Dwyer & Prachi Mishra & Antonio Spilimbergo, 2022. "Back to Trend: COVID Effects on E-commerce in 47 Countries," NBER Working Papers 29729, National Bureau of Economic Research, Inc.
    16. Alejandra Bellatin & Gabriela Galassi, 2022. "What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada," Staff Working Papers 22-17, Bank of Canada.
    17. He, Chuan & Mau, Karsten & Xu, Mingzhi, 2021. "Trade Shocks and Firms Hiring Decisions:," Research Memorandum 001, Maastricht University, Graduate School of Business and Economics (GSBE).

  2. Turrell, Arthur & Thurgood, James & Djumalieva, Jyldyz & Copple, David & Speigner, Bradley, 2018. "Using online job vacancies to understand the UK labour market from the bottom-up," Bank of England working papers 742, Bank of England.

    Cited by:

    1. Faryna, Oleksandr & Pham, Tho & Talavera, Oleksandr & Tsapin, Andriy, 2020. "Wage Setting and Unemployment: Evidence from Online Job Vacancy Data," GLO Discussion Paper Series 503, Global Labor Organization (GLO).
    2. Caglayan, Mustafa & Talavera, Oleksandr & Xiong, Lin, 2022. "Female small business owners in China: Discouraged, not discriminated," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    3. Vacha, Stepan, 2021. "Labour demand in the UK during the COVID-19 pandemic : evidence from online job postings," Warwick-Monash Economics Student Papers 13, Warwick Monash Economics Student Papers.
    4. Stef Garasto & Jyldyz Djumalieva & Karlis Kanders & Rachel Wilcock & Cath Sleeman, 2021. "Developing experimental estimates of regional skill demand," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-02, Economic Statistics Centre of Excellence (ESCoE).
    5. Ufuk BİNGÖL & Hakan METE & Yılmaz ÖZKAN, 2019. "Comparative qualitative analysis of Turkey and Estonia in the IT sector vacancies," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 197-220, December.
    6. Rudy Arthur, 2021. "Studying the UK job market during the COVID-19 crisis with online job ads," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-24, May.

  3. Turrell, Arthur & Speigner, Bradley & Djumalieva, Jyldyz & Copple, David & Thurgood, James, 2018. "Using job vacancies to understand the effects of labour market mismatch on UK output and productivity," Bank of England working papers 737, Bank of England.

    Cited by:

    1. Turrell, Arthur & Thurgood, James & Djumalieva, Jyldyz & Copple, David & Speigner, Bradley, 2018. "Using online job vacancies to understand the UK labour market from the bottom-up," Bank of England working papers 742, Bank of England.
    2. Corinna Ghirelli & Juan Peñalosa & Javier J. Pérez & Alberto Urtasun, 2019. "Some implications of new data sources for economic analysis and official statistics," Economic Bulletin, Banco de España, issue JUN.
    3. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    4. Ms. Era Dabla-Norris & Carlo Pizzinelli & Jay Rappaport, 2019. "Job Polarization and the Declining Fortunes of the Young: Evidence from the United Kingdom," IMF Working Papers 2019/216, International Monetary Fund.
    5. Bradley, Jake & Ruggieri, Alessandro & Spencer, Adam Hal, 2021. "Twin Peaks: Covid-19 and the labor market," European Economic Review, Elsevier, vol. 138(C).
    6. Tara Sinclair & Martha Gimbel, 2020. "Mismatch in Online Job Search," Working Papers 2020-1, The George Washington University, Institute for International Economic Policy.
    7. Cardenas, J, 2020. "Possible uses of labour demand and supply information to reduce skill mismatches," Documentos de trabajo - Alianza EFI 18987, Alianza EFI.
    8. Jung, Philip & Korfmann, Philipp & Preugschat, Edgar, 2023. "Optimal regional labor market policies," European Economic Review, Elsevier, vol. 152(C).
    9. Stef Garasto & Jyldyz Djumalieva & Karlis Kanders & Rachel Wilcock & Cath Sleeman, 2021. "Developing experimental estimates of regional skill demand," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-02, Economic Statistics Centre of Excellence (ESCoE).
    10. Ljubica Nedelkoska & Frank Neffke, 2019. "Skill Mismatch and Skill Transferability: Review of Concepts and Measurements," Papers in Evolutionary Economic Geography (PEEG) 1921, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2019.
    11. Jyldyz Djumalieva & Stef Garasto & Cath Sleeman, 2020. "Evaluating a new earnings indicator. Can we improve the timeliness of existing statistics on earnings by using salary information from online job adverts?," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-19, Economic Statistics Centre of Excellence (ESCoE).
    12. Kyungho Song & Hyun Kim & Jisoo Cha & Taedong Lee, 2021. "Matching and Mismatching of Green Jobs: A Big Data Analysis of Job Recruiting and Searching," Sustainability, MDPI, vol. 13(7), pages 1-15, April.

  4. Pizzinelli, Carlo & Speigner, Bradley, 2017. "Matching efficiency and labour market heterogeneity in the United Kingdom," Bank of England working papers 667, Bank of England.

    Cited by:

    1. Lisauskaite, Elena, 2022. "Matching Efficiency and Heterogeneous Workers in the UK," IZA Discussion Papers 15610, Institute of Labor Economics (IZA).
    2. de Pedraza, Pablo & Guzi, Martin & Tijdens, Kea, 2020. "Life Satisfaction of Employees, Labour Market Tightness and Matching Efficiency," IZA Discussion Papers 12961, Institute of Labor Economics (IZA).
    3. Turrell, Arthur & Speigner, Bradley & Copple, David & Djumalieva, Jyldyz & Thurgood, James, 2021. "Is the UK’s productivity puzzle mostly driven by occupational mismatch? An analysis using big data on job vacancies," Labour Economics, Elsevier, vol. 71(C).

  5. Speigner, Bradley, 2014. "Long-term unemployment and convexity in the Phillips curve," Bank of England working papers 519, Bank of England.

    Cited by:

    1. Davide Romaniello, 2022. "Unemployment gap, isteresi e disoccupazione di lunga durata: quale ruolo nella comprensione dell'inflazione? (Unemployment gap, hysteresis and long-term unemployment: which role in explaining inflatio," Moneta e Credito, Economia civile, vol. 75(299), pages 267-283.
    2. Juan Carlos Berganza & Pedro del Río & Fructuoso Borrallo, 2016. "Determinants and implications of low global inflation rates," Occasional Papers 1608, Banco de España.
    3. Jeremy J. Nalewaik, 2016. "Non-Linear Phillips Curves with Inflation Regime-Switching," Finance and Economics Discussion Series 2016-078, Board of Governors of the Federal Reserve System (U.S.).
    4. Paternesi Meloni, Walter & Romaniello, Davide & Stirati, Antonella, 2022. "Inflation and the NAIRU: assessing the role of long-term unemployment as a cause of hysteresis," Economic Modelling, Elsevier, vol. 113(C).
    5. Marko Melolinna & Máté Tóth, 2019. "Output gaps, inflation and financial cycles in the UK," Empirical Economics, Springer, vol. 56(3), pages 1039-1070, March.
    6. Melolinna, Marko & Tóth, Máté, 2016. "Output gaps, inflation and financial cycles in the United Kingdom," Bank of England working papers 585, Bank of England.
    7. Ricardo Summa & Julia Braga, 2020. "The (conflict-augmented) Phillips Curve is alive and well," Working Papers 0055, ASTRIL - Associazione Studi e Ricerche Interdisciplinari sul Lavoro.
    8. Esady, Vania & Speigner, Bradley & Wanengkirtyo, Boromeus, 2023. "Revisiting the effects of long-term unemployment on inflation: the role of non-linearities," Bank of England working papers 1018, Bank of England.

Articles

    Sorry, no citations of articles recorded.

Chapters

  1. Arthur Turrell & Bradley Speigner & Jyldyz Djumalieva & David Copple & James Thurgood, 2019. "Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 173-207, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EUR: Microeconomic European Issues (4) 2017-08-20 2018-07-30 2018-08-27 2019-05-27
  2. NEP-LAB: Labour Economics (4) 2015-01-14 2017-08-20 2018-07-30 2019-05-27
  3. NEP-BIG: Big Data (3) 2018-07-30 2018-08-27 2019-05-27
  4. NEP-MAC: Macroeconomics (3) 2015-01-14 2017-08-20 2018-07-30
  5. NEP-CMP: Computational Economics (2) 2018-08-27 2019-05-27
  6. NEP-EFF: Efficiency and Productivity (1) 2017-08-20
  7. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2018-08-27
  8. NEP-PAY: Payment Systems and Financial Technology (1) 2018-08-27

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