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Bradley James Speigner

Personal Details

First Name:Bradley
Middle Name:James
Last Name:Speigner
Suffix:
RePEc Short-ID:psp158
[This author has chosen not to make the email address public]

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. 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.
  2. 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.
  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. 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.
  5. Pizzinelli, Carlo & Speigner, Bradley, 2017. "Matching efficiency and labour market heterogeneity in the United Kingdom," Bank of England working papers 667, Bank of England.
  6. Speigner, Bradley, 2014. "Long-term unemployment and convexity in the Phillips curve," Bank of England working papers 519, Bank of England.

Articles

  1. 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).
  2. 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. 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).
    2. 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.
    3. Adham Kahlawi & Lucia Buzzigoli & Francesca Giambona & Laura Grassini & Cristina Martelli, 2024. "Online job ads in Italy: a regional analysis of ICT professionals," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(2), pages 609-633, April.
    4. 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.
    5. Oleksandr Faryna & Tho Pham & Oleksandr Talavera & Andriy Tsapin, 2020. "Wage Setting and Unemployment: Evidence from Online Job Vacancy Data," Economics Discussion Papers em-dp2020-02, Department of Economics, University of Reading.
    6. 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.
    7. Mustafa Caglayan & Oleksandr Talavera & Lin Xiong, 2020. "Female Small Business Owners in China: Discouraged, not Discriminated," Discussion Papers 20-04, Department of Economics, University of Birmingham.
    8. 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).
    9. 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).
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.

  2. 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. 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).
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. Bradley, Jake & Ruggieri, Alessandro & Spencer, Adam Hal, 2021. "Twin Peaks: Covid-19 and the labor market," European Economic Review, Elsevier, vol. 138(C).
    9. Tara Sinclair & Martha Gimbel, 2020. "Mismatch in Online Job Search," Working Papers 2020-1, The George Washington University, Institute for International Economic Policy.
    10. Jung, Philip & Korfmann, Philipp & Preugschat, Edgar, 2021. "Optimal Regional Labor Market Policies," IZA Discussion Papers 14204, Institute of Labor Economics (IZA).
    11. Jiaqi Ge & Bernardo Alves Furtado, 2024. "Modelling urban transition with coupled housing and labour markets," Environment and Planning B, , vol. 51(3), pages 590-609, March.
    12. Grybauskas, Andrius & Cárdenas-Rubio, Jeisson, 2024. "Unlocking employer insights: Using large language models to explore human-centric aspects in the context of industry 5.0," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    13. Cardenas, J, 2020. "Possible uses of labour demand and supply information to reduce skill mismatches," Documentos de trabajo - Alianza EFI 18987, Alianza EFI.
    14. 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.

  3. 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. 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).
    2. Oleksandr Faryna & Tho Pham & Oleksandr Talavera & Andriy Tsapin, 2020. "Wage Setting and Unemployment: Evidence from Online Job Vacancy Data," Economics Discussion Papers em-dp2020-02, Department of Economics, University of Reading.
    3. 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.
    4. Mustafa Caglayan & Oleksandr Talavera & Lin Xiong, 2020. "Female Small Business Owners in China: Discouraged, not Discriminated," Discussion Papers 20-04, Department of Economics, University of Birmingham.
    5. 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.
    6. 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. 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. 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).
    3. Pablo de Pedraza & Martin Guzi & Kea Tijdens, 2020. "Life satisfaction of employees, labour market tightness and matching efficiency," International Journal of Manpower, Emerald Group Publishing Limited, vol. 42(3), pages 341-355, July.

  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. Marko Melolinna & Máté Tóth, 2019. "Output gaps, inflation and financial cycles in the UK," Empirical Economics, Springer, vol. 56(3), pages 1039-1070, March.
    2. Melolinna, Marko & Tóth, Máté, 2016. "Output gaps, inflation and financial cycles in the United Kingdom," Bank of England working papers 585, Bank of England.
    3. 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.
    4. 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.
    5. 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.
    6. Juan Carlos Berganza & Pedro del Río & Fructuoso Borrallo, 2016. "Determinants and implications of low global inflation rates," Occasional Papers 1608, Banco de España.
    7. 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.).
    8. 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).

Articles

  1. 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).

    Cited by:

    1. Julia Darby & Stuart McIntyre & Graeme Roy, 2022. "What can analysis of 47 million job advertisements tell us about how opportunities for homeworking are evolving in the United Kingdom?," Industrial Relations Journal, Wiley Blackwell, vol. 53(4), pages 281-302, July.
    2. Gordon Betcherman & Nicholas Giannakopoulos & Ioannis Laliotis & Ioanna Pantelaiou & Mauro Testaverde & Giannis Tzimas, 2023. "The short-term impact of the 2020 pandemic lockdown on employment in Greece," Empirical Economics, Springer, vol. 65(3), pages 1273-1307, September.
    3. Maciej Berk{e}sewicz & Marek Wydmuch & Herman Cherniaiev & Robert Pater, 2024. "Multilingual hierarchical classification of job advertisements for job vacancy statistics," Papers 2411.03779, arXiv.org.
    4. Pizzinelli, Carlo & Shibata, Ippei, 2023. "Has COVID-19 induced labor market mismatch? Evidence from the US and the UK," Labour Economics, Elsevier, vol. 81(C).
    5. Anja Bauer, 2024. "Accounting for qualification in mismatch unemployment," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 58(1), pages 1-23, December.

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

Access and download statistics for all items

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 6 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-MON: Monetary Economics (1) 2023-07-24
  9. NEP-PAY: Payment Systems and Financial Technology (1) 2018-08-27

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