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Deborah Gefang

Personal Details

First Name:Deborah
Middle Name:
Last Name:Gefang
Suffix:
RePEc Short-ID:pge123
[This author has chosen not to make the email address public]

Affiliation

School of Business
Leicester University

Leicester, United Kingdom
https://le.ac.uk/school-of-business
RePEc:edi:deleiuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Deborah Gefang & Stephen G. Hall & George S. Tavlas, 2023. "Identifying spatial interdependence in panel data with large N and small T," Papers 2309.03740, arXiv.org.
  2. Deborah Gefang & Stephen G. Hall & George S. Tavlas, 2022. "Fast Two-Stage Variational Bayesian Approach to Estimating Panel Spatial Autoregressive Models with Unrestricted Spatial Weights Matrices," Papers 2205.15420, arXiv.org, revised Aug 2023.
  3. Heather D. Gibson & Stephen G. Hall & Deborah Gefang & Pavlos Petroulas & George S. Tavlas, 2020. "Did the absence of a central bank backstop in the sovereign bond markets exacerbate spillovers during the euro-area crisis?," Working Papers 281, Bank of Greece.
  4. Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage," CAMA Working Papers 2019-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  5. Deborah Gefang & Geraint Johnes, 2014. "Asymmetric volatility spillovers between UK regional worker flows and vacancies," Discussion Papers in Economics 14/08, Division of Economics, School of Business, University of Leicester.
  6. Michele Campolieti & Deborah Gefang & Gary Koop, 2013. "A new look at variation in employment growth in Canada," Working Papers 26145565, Lancaster University Management School, Economics Department.
  7. Michele Campolieti & Deborah Gefang & Gary Koop, 2013. "Technical appendix to: a new look at variation in employment growth in Canada," Working Papers 26145533, Lancaster University Management School, Economics Department.
  8. Koop, Gary & Gefang, Deborah & Campolieti, Michele, 2012. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," SIRE Discussion Papers 2012-69, Scottish Institute for Research in Economics (SIRE).
  9. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011. "Understanding Liquidity and Credit Risks in the Financial Crisis," SIRE Discussion Papers 2011-26, Scottish Institute for Research in Economics (SIRE).
  10. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011. "The Dynamics of UK and US Inflation Expectations," SIRE Discussion Papers 2011-47, Scottish Institute for Research in Economics (SIRE).
  11. Deborah Gefang & Gary Koop & Simon M. Potter, 2010. "Technical Appendix to: Understanding Liquidity and Credit Risks in the Financial Crisis," Working Paper series 46_10, Rimini Centre for Economic Analysis.
  12. Deborah Gefang & Rodney Strachan, 2008. "Nonlinear Impacts of International Business Cycles on the UK — a Bayesian Smooth Transition VAR," Discussion Papers in Economics 08/4, Division of Economics, School of Business, University of Leicester.
  13. Deborah Gefang, 2008. "Revisiting money-output causality from a Bayesian logistic smooth transition VECM perspective," Discussion Papers in Economics 08/5, Division of Economics, School of Business, University of Leicester.
  14. Deborah Gefang & Gary Koop & Aubrey Poon, "undated". "Computationally Efficient Inference in Large Bayesian Mixed Frequency VARs," Discussion Papers in Economics 20/02, Division of Economics, School of Business, University of Leicester.

Articles

  1. Gefang, Deborah & Hall, Stephen G. & Tavlas, George S. & Wang, Yongli, 2024. "Quantifying spillovers among regions," Journal of International Money and Finance, Elsevier, vol. 140(C).
  2. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2023. "Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage," International Journal of Forecasting, Elsevier, vol. 39(1), pages 346-363.
  3. Stephen G. Hall & George S. Tavlas & Deborah Gefang, 2023. "A test to select between spatial weighting matrices," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-10, December.
  4. Heather D Gibson & Stephen G Hall & Deborah GeFang & Pavlos Petroulas & George S Tavlas, 2021. "Cross-country spillovers of national financial markets and the effectiveness of ECB policies during the euro-area crisis," Oxford Economic Papers, Oxford University Press, vol. 73(4), pages 1454-1470.
  5. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2020. "Computationally efficient inference in large Bayesian mixed frequency VARs," Economics Letters, Elsevier, vol. 191(C).
  6. Deborah Gefang & Geraint Johnes, 2017. "Asymmetric volatility spillovers between the U.K. regional worker flows and vacancies," Applied Economics, Taylor & Francis Journals, vol. 49(50), pages 5117-5133, October.
  7. Campolieti, Michele & Gefang, Deborah & Koop, Gary, 2014. "A new look at variation in employment growth in Canada: The role of industry, provincial, national and external factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 257-275.
  8. Michele Campolieti & Deborah Gefang & Gary Koop, 2014. "Time Variation In The Dynamics Of Worker Flows: Evidence From North America And Europe," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 265-290, March.
  9. Gefang, Deborah, 2014. "Bayesian doubly adaptive elastic-net Lasso for VAR shrinkage," International Journal of Forecasting, Elsevier, vol. 30(1), pages 1-11.
  10. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2012. "The dynamics of UK and US inflation expectations," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3120-3133.
  11. Deborah Gefang, 2012. "Money‐output Causality Revisited – A Bayesian Logistic Smooth Transition VECM Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(1), pages 131-151, February.
  12. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011. "Understanding liquidity and credit risks in the financial crisis," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 903-914.
  13. Gefang Deborah & Strachan Rodney, 2009. "Nonlinear Impacts of International Business Cycles on the U.K. -- A Bayesian Smooth Transition VAR Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-33, December.

Chapters

  1. Deborah Gefang, 2008. "Investigating nonlinear purchasing power parity during the post-Bretton Woods era – A Bayesian exponential smooth transition VECM approach," Advances in Econometrics, in: Bayesian Econometrics, pages 471-500, Emerald Group Publishing Limited.

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. Heather D. Gibson & Stephen G. Hall & Deborah Gefang & Pavlos Petroulas & George S. Tavlas, 2020. "Did the absence of a central bank backstop in the sovereign bond markets exacerbate spillovers during the euro-area crisis?," Working Papers 281, Bank of Greece.

    Cited by:

    1. Dimakopoulou, Vasiliki & Economides, George & Philippopoulos, Apostolis, 2022. "The ECB's policy, the Recovery Fund and the importance of trust and fiscal corrections: The case of Greece," Economic Modelling, Elsevier, vol. 112(C).

  2. Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage," CAMA Working Papers 2019-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Matteo Iacopini & Luca Rossini, 2019. "Bayesian nonparametric graphical models for time-varying parameters VAR," Papers 1906.02140, arXiv.org.
    2. Michael McCracken & Serena Ng, 2020. "FRED-QD: A Quarterly Database for Macroeconomic Research," NBER Working Papers 26872, National Bureau of Economic Research, Inc.
    3. Deborah Gefang & Gary Koop & Aubrey Poon, "undated". "Computationally Efficient Inference in Large Bayesian Mixed Frequency VARs," Discussion Papers in Economics 20/02, Division of Economics, School of Business, University of Leicester.
    4. Joshua C.C. Chan & Xuewen Yu, 2020. "Fast and accurate variational inference for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2020-108, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Joshua C. C. Chan, 2019. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," CAMA Working Papers 2019-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Mauro Bernardi & Daniele Bianchi & Nicolas Bianco, 2022. "Variational inference for large Bayesian vector autoregressions," Papers 2202.12644, arXiv.org, revised Jun 2023.
    7. Joshua C. C. Chan, 2019. "Large Bayesian vector autoregressions," CAMA Working Papers 2019-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Mauro Bernardi & Daniele Bianchi & Nicolas Bianco, 2022. "Smoothing volatility targeting," Papers 2212.07288, arXiv.org.

  3. Koop, Gary & Gefang, Deborah & Campolieti, Michele, 2012. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," SIRE Discussion Papers 2012-69, Scottish Institute for Research in Economics (SIRE).

    Cited by:

    1. Campolieti, Michele & Gefang, Deborah & Koop, Gary, 2014. "A new look at variation in employment growth in Canada: The role of industry, provincial, national and external factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 257-275.
    2. Michele Campolieti & Deborah Gefang & Gary Koop, 2013. "A new look at variation in employment growth in Canada," Working Papers 26145565, Lancaster University Management School, Economics Department.

  4. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011. "Understanding Liquidity and Credit Risks in the Financial Crisis," SIRE Discussion Papers 2011-26, Scottish Institute for Research in Economics (SIRE).

    Cited by:

    1. Tu, Anthony H. & Chen, Cathy Yi-Hsuan, 2018. "A factor-based approach of bond portfolio value-at-risk: The informational roles of macroeconomic and financial stress factors," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 243-268.
    2. Gunay, Samet, 2020. "Seeking causality between liquidity risk and credit risk: TED-OIS spreads and CDS indexes," Research in International Business and Finance, Elsevier, vol. 52(C).
    3. Andreas Schrimpf & Vladyslav Sushko, 2019. "Beyond LIBOR: a primer on the new benchmark rates," BIS Quarterly Review, Bank for International Settlements, March.
    4. McAndrews, James & Sarkar, Asani & Wang, Zhenyu, 2017. "The effect of the term auction facility on the London interbank offered rate," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 135-152.
    5. Thomas B. King & Kurt F. Lewis, 2015. "Credit Risk, Liquidity and Lies," Finance and Economics Discussion Series 2015-112, Board of Governors of the Federal Reserve System (U.S.).
    6. Wolfgang Aussenegg & Lukas Goetz & Ranko Jelic, 2015. "Common Factors in the Performance of European Corporate Bonds – Evidence before and after the Financial Crisis," European Financial Management, European Financial Management Association, vol. 21(2), pages 265-308, March.
    7. Alfred Wong & David Leung & Calvin Ng, 2016. "How do housing purchase limits affect firm default risks in Mainland China?," Working Papers 172016, Hong Kong Institute for Monetary Research.
    8. Alfeus, Mesias & Grasselli, Martino & Schlögl, Erik, 2020. "A consistent stochastic model of the term structure of interest rates for multiple tenors," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    9. Soedarmono, Wahyoe & Machrouh, Fouad & Tarazi, Amine, 2013. "Bank competition, crisis and risk taking: Evidence from emerging markets in Asia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 196-221.
    10. Alfred Wong & David Leung & Calvin Ng, 2016. "Risk-adjusted Covered Interest Parity: Theory and Evidence," Working Papers 162016, Hong Kong Institute for Monetary Research.
    11. Goldstein, Michael A. & Namin, Elmira Shekari, 2023. "Corporate bond liquidity and yield spreads: A review," Research in International Business and Finance, Elsevier, vol. 65(C).
    12. Mark D. Flood & John C. Liechty & Thomas Piontek, 2015. "Systemwide Commonalities in Market Liquidity," Working Papers 15-11, Office of Financial Research, US Department of the Treasury.
    13. Anthony H. Tu & Cathy Yi-Hsuan Chen, 2016. "What Derives the Bond Portfolio Value-at-Risk: Information Roles of Macroeconomic and Financial Stress Factors," SFB 649 Discussion Papers SFB649DP2016-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    14. Cottrell, Simon & Yu, Xiao & Delpachitra, Sarath & Ma, Yihong, 2021. "What determines wholesale funding costs of the global systemically important banks?," Journal of Banking & Finance, Elsevier, vol. 132(C).
    15. Carpenter, Seth B. & Demiralp, Selva & Senyuz, Zeynep, 2016. "Volatility in the federal funds market and money market spreads during the financial crisis," Journal of Financial Stability, Elsevier, vol. 25(C), pages 225-233.
    16. Alfred Wong & Jiayue Zhang, 2018. "Breakdown of covered interest parity: mystery or myth?," BIS Papers chapters, in: Bank for International Settlements (ed.), The price, real and financial effects of exchange rates, volume 96, pages 57-78, Bank for International Settlements.
    17. Prokopczuk, Marcel & Siewert, Jan B. & Vonhoff, Volker, 2013. "Credit risk in covered bonds," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 102-120.
    18. Rim Boussaada & Abdelaziz Hakimi & Majdi Karmani, 2022. "Is there a threshold effect in the liquidity risk–non‐performing loans relationship? A PSTR approach for MENA banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1886-1898, April.
    19. Hassan, M. Kabir & Khan, Ashraf & Paltrinieri, Andrea, 2019. "Liquidity risk, credit risk and stability in Islamic and conventional banks," Research in International Business and Finance, Elsevier, vol. 48(C), pages 17-31.
    20. Vladyslav Sushko & Claudio Borio & Robert Neil McCauley & Patrick McGuire, 2016. "The failure of covered interest parity: FX hedging demand and costly balance sheets," BIS Working Papers 590, Bank for International Settlements.
    21. Yoldas, Emre & Senyuz, Zeynep, 2018. "Financial stress and equilibrium dynamics in term interbank funding markets," Journal of Financial Stability, Elsevier, vol. 34(C), pages 136-149.
    22. José Da Fonseca & Peiming Wang, 2016. "A joint analysis of market indexes in credit default swap, volatility and stock markets," Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1767-1784, April.
    23. Alfred Wong & Jiayue Zhang, 2018. "Breakdown of covered interest parity: mystery or myth?," FIW Working Paper series 182, FIW.
    24. Nikolaos Karouzakis, 2021. "The role of time‐varying risk premia in international interbank markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5720-5745, October.
    25. Ichiro Muto, 2012. "A Simple Interest Rate Model with Unobserved Components: The Role of the Interbank Reference Rate," Bank of Japan Working Paper Series 12-E-10, Bank of Japan.
    26. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    27. Sheng Huang & Jonathan Williams & Ru Xie, 2017. "The Future of Money: Liquidity co-movement between financial institutions and real estate firms: evidence from China," Working Papers 17004, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    28. Thomas B. King & Kurt F. Lewis, 2014. "What Drives Bank Funding Spreads?," Working Paper Series WP-2014-23, Federal Reserve Bank of Chicago.
    29. Pedro Pires Ribeiro & José Dias Curto, 2017. "Volatility spillover effects in interbank money markets," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(1), pages 105-136, February.
    30. Gallitschke, Janek & Seifried (née Müller), Stefanie & Seifried, Frank Thomas, 2017. "Interbank interest rates: Funding liquidity risk and XIBOR basis spreads," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 142-152.
    31. Casavecchia, Lorenzo & Loudon, Geoffrey F. & Wu, Eliza, 2018. "What moves benchmark money market rates? Evidence from the BBSW market," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 137-154.
    32. Gerhart, Christoph & Lütkebohmert, Eva, 2020. "Empirical analysis and forecasting of multiple yield curves," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 59-78.
    33. Cui, Jin & In, Francis & Maharaj, Elizabeth Ann, 2016. "What drives the Libor–OIS spread? Evidence from five major currency Libor–OIS spreads," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 358-375.
    34. Azusa Takeyama & Naoshi Tsuchida, 2015. "The Interaction between Funding Liquidity and Market Liquidity: Evidence from Subprime and European Crises," IMES Discussion Paper Series 15-E-14, Institute for Monetary and Economic Studies, Bank of Japan.

  5. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011. "The Dynamics of UK and US Inflation Expectations," SIRE Discussion Papers 2011-47, Scottish Institute for Research in Economics (SIRE).

    Cited by:

    1. J. Easaw & R. Golinelli & M. Malgarini, 2012. "Do Households Anchor their Inflation Expectations? Theory and Evidence from a Household Survey," Working Papers wp842, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Buono, Ines & Formai, Sara, 2018. "New evidence on the evolution of the anchoring of inflation expectations," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 39-54.
    3. Nyberg, Henri & Saikkonen, Pentti, 2014. "Forecasting with a noncausal VAR model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 536-555.
    4. James Yetman, 2020. "The pass-through from short-horizon to long-horizon inflation expectations," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation dynamics in Asia and the Pacific, volume 111, pages 55-66, Bank for International Settlements.
    5. Speck, Christian, 2017. "Inflation anchoring in the euro area," Working Paper Series 1998, European Central Bank.
    6. Speck, Christian, 2016. "Inflation anchoring in the euro area," Discussion Papers 04/2016, Deutsche Bundesbank.
    7. Till Strohsal & Lars Winkelmann, 2012. "Assessing the Anchoring of Inflation Expectations," SFB 649 Discussion Papers SFB649DP2012-022, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    8. Helder Ferreira de Mendonça & Pedro Mendes Garcia & José Valentim Machado Vicente, 2021. "Rationality and anchoring of inflation expectations: An assessment from survey‐based and market‐based measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1027-1053, September.
    9. Petra Gerlach-Kristen & Richhild Mössner, 2014. "Inflation Expectations, Central Bank Credibility and the Global Financial Crisis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(II), pages 55-87, June.
    10. Hossein Hassani & Jan Coreman & Saeed Heravi & Joshy Easaw, 2018. "Forecasting Inflation Rate: Professional Against Academic, Which One is More Accurate," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 631-646, September.
    11. Jose Vicente Romero & Sara Naranjo Saldarriaga, 2022. "Weather Shocks and Inflation Expectations in Semi-Structural Models," IHEID Working Papers 20-2022, Economics Section, The Graduate Institute of International Studies.
    12. Speck, Christian, 2016. "Inflation Anchoring in the Euro Area," VfS Annual Conference 2016 (Augsburg): Demographic Change 145697, Verein für Socialpolitik / German Economic Association.
    13. James Yetman, 2020. "Pass-through from short-horizon to long-horizon inflation expectations, and the anchoring of inflation expectations," BIS Working Papers 895, Bank for International Settlements.
    14. Inês da Cunha Cabral & Pedro Pires Ribeiro & João Nicolau, 2022. "Changes in inflation compensation and oil prices: short-term and long-term dynamics," Empirical Economics, Springer, vol. 62(2), pages 581-603, February.
    15. Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.
    16. Suh, Sangwon & Kim, Daehwan, 2021. "Inflation targeting and expectation anchoring: Evidence from developed and emerging market economies," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).

  6. Deborah Gefang & Gary Koop & Simon M. Potter, 2010. "Technical Appendix to: Understanding Liquidity and Credit Risks in the Financial Crisis," Working Paper series 46_10, Rimini Centre for Economic Analysis.

    Cited by:

    1. Andreas Schrimpf & Vladyslav Sushko, 2019. "Beyond LIBOR: a primer on the new benchmark rates," BIS Quarterly Review, Bank for International Settlements, March.
    2. Casavecchia, Lorenzo & Loudon, Geoffrey F. & Wu, Eliza, 2018. "What moves benchmark money market rates? Evidence from the BBSW market," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 137-154.

  7. Deborah Gefang & Rodney Strachan, 2008. "Nonlinear Impacts of International Business Cycles on the UK — a Bayesian Smooth Transition VAR," Discussion Papers in Economics 08/4, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. Deborah Gefang, 2012. "Money‐output Causality Revisited – A Bayesian Logistic Smooth Transition VECM Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(1), pages 131-151, February.
    2. Hernán Rincón & Norberto Rodríguez, 2016. "Nonlinear Pass-Through of Exchange Rate Shocks on Inflation: A Bayesian Smooth Transition VAR Approach," IHEID Working Papers 13-2016, Economics Section, The Graduate Institute of International Studies.
    3. Bao H. NGUYEN & OKIMOTO Tatsuyoshi, 2017. "Asymmetric Reactions of the U.S. Natural Gas Market and Economic Activity," Discussion papers 17102, Research Institute of Economy, Trade and Industry (RIETI).
    4. Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 48-64, April.
    5. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    6. Hernán Rincón-Castro & Norberto Rodríguez-Niño, 2018. "Nonlinear state and shock dependence of exchange rate pass through on prices," BIS Working Papers 690, Bank for International Settlements.
    7. MIYAO Ryuzo & OKIMOTO Tatsuyoshi, 2017. "The Macroeconomic Effects of Japan's Unconventional Monetary Policies," Discussion papers 17065, Research Institute of Economy, Trade and Industry (RIETI).

  8. Deborah Gefang & Gary Koop & Aubrey Poon, "undated". "Computationally Efficient Inference in Large Bayesian Mixed Frequency VARs," Discussion Papers in Economics 20/02, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    2. Martin Feldkircher & Florian Huber & Michael Pfarrhofer, 2020. "Measuring the Effectiveness of US Monetary Policy during the COVID-19 Recession," Papers 2007.15419, arXiv.org.
    3. Robert Lehmann, 2023. "READ-GER: Introducing German Real-Time Regional Accounts Data for Revision Analysis and Nowcasting," CESifo Working Paper Series 10315, CESifo.
    4. Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon & Ping Wu, 2023. "Incorporating Short Data into Large Mixed-Frequency VARs for Regional Nowcasting," Working Papers 2311, University of Strathclyde Business School, Department of Economics.
    6. Luca Barbaglia & Lorenzo Frattarolo & Niko Hauzenberger & Dominik Hirschbuehl & Florian Huber & Luca Onorante & Michael Pfarrhofer & Luca Tiozzo Pezzoli, 2024. "Nowcasting economic activity in European regions using a mixed-frequency dynamic factor model," Papers 2401.10054, arXiv.org.
    7. Blagov, Boris & Müller, Henrik & Jentsch, Carsten & Schmidt, Torsten, 2021. "The investment narrative: Improving private investment forecasts with media data," Ruhr Economic Papers 921, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Alain Hecq & Marie Ternes & Ines Wilms, 2021. "Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions," Papers 2102.11780, arXiv.org, revised Mar 2022.
    9. Deborah Gefang & Stephen G. Hall & George S. Tavlas, 2023. "Identifying spatial interdependence in panel data with large N and small T," Papers 2309.03740, arXiv.org.
    10. Deborah Gefang & Stephen G. Hall & George S. Tavlas, 2022. "Fast Two-Stage Variational Bayesian Approach to Estimating Panel Spatial Autoregressive Models with Unrestricted Spatial Weights Matrices," Papers 2205.15420, arXiv.org, revised Aug 2023.

Articles

  1. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2023. "Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage," International Journal of Forecasting, Elsevier, vol. 39(1), pages 346-363.

    Cited by:

    1. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
    2. Renata Tavanielli & Márcio Laurini, 2023. "Yield Curve Models with Regime Changes: An Analysis for the Brazilian Interest Rate Market," Mathematics, MDPI, vol. 11(11), pages 1-28, June.
    3. Florian Huber & Massimiliano Marcellino, 2023. "Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification," Papers 2304.07856, arXiv.org, revised May 2023.
    4. Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.

  2. Heather D Gibson & Stephen G Hall & Deborah GeFang & Pavlos Petroulas & George S Tavlas, 2021. "Cross-country spillovers of national financial markets and the effectiveness of ECB policies during the euro-area crisis," Oxford Economic Papers, Oxford University Press, vol. 73(4), pages 1454-1470.

    Cited by:

    1. Stephen G. Hall & George S. Tavlas & Deborah Gefang, 2023. "A test to select between spatial weighting matrices," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-10, December.
    2. Gibson, Heather D. & Hall, Stephen G. & Petroulas, Pavlos & Tavlas, George S., 2022. "An investigation into feedback and spatial relationships between banks’ share prices and sovereign bond spreads during the euro crisis," Journal of Financial Stability, Elsevier, vol. 63(C).

  3. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2020. "Computationally efficient inference in large Bayesian mixed frequency VARs," Economics Letters, Elsevier, vol. 191(C).
    See citations under working paper version above.
  4. Campolieti, Michele & Gefang, Deborah & Koop, Gary, 2014. "A new look at variation in employment growth in Canada: The role of industry, provincial, national and external factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 257-275.

    Cited by:

    1. Tomomi Miyazaki & Haruo Kondoh, 2022. "Effects of Monetary and Fiscal Policy Interactions on Regional Employment: Evidence from Japan," Discussion Papers 2206, Graduate School of Economics, Kobe University.
    2. Alexander Chudik & Janet Koech & Mark Wynne, 2021. "The Heterogeneous Effects of Global and National Business Cycles on Employment in US States and Metropolitan Areas," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 495-517, April.
    3. Nidya Listiyono & Adi Wijaya & Irsan Tricahyadinata, 2021. "The effect of investment, education level, and government spending on economic growth and labor absorption in East Kalimantan Province, Indonesia," Technium Social Sciences Journal, Technium Science, vol. 20(1), pages 465-485, June.

  5. Michele Campolieti & Deborah Gefang & Gary Koop, 2014. "Time Variation In The Dynamics Of Worker Flows: Evidence From North America And Europe," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 265-290, March.

    Cited by:

    1. Campolieti, Michele & Gefang, Deborah & Koop, Gary, 2014. "A new look at variation in employment growth in Canada: The role of industry, provincial, national and external factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 257-275.
    2. Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    3. Elroukh, Ahmed W. & Nikolsko-Rzhevskyy, Alex & Panovska, Irina, 2020. "A look at jobless recoveries in G7 countries," Journal of Macroeconomics, Elsevier, vol. 64(C).
    4. Valadkhani, Abbas & O’Mahony, Barry, 2015. "Dynamics of Australia’s tourism in a multimarket context," Annals of Tourism Research, Elsevier, vol. 55(C), pages 173-177.
    5. Steven M. Fazzari & James Morley & Irina B. Panovska, 2017. "When Do Discretionary Changes in Government Spending or Taxes Have Larger Effects?," Discussion Papers 2017-04, School of Economics, The University of New South Wales.
    6. Donayre, Luiggi & Panovska, Irina, 2016. "State-dependent exchange rate pass-through behavior," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 170-195.

  6. Gefang, Deborah, 2014. "Bayesian doubly adaptive elastic-net Lasso for VAR shrinkage," International Journal of Forecasting, Elsevier, vol. 30(1), pages 1-11.

    Cited by:

    1. Joshua C.C. Chan & Eric Eisenstat & Gary Koop, 2014. "Large Bayesian VARMAs," Working Paper series 40_14, Rimini Centre for Economic Analysis.
    2. Huber, Florian & Punzi, Maria Teresa, 2017. "The shortage of safe assets in the US investment portfolio: Some international evidence," Department of Economics Working Paper Series 243, WU Vienna University of Economics and Business.
    3. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    4. Matteo Iacopini & Luca Rossini, 2019. "Bayesian nonparametric graphical models for time-varying parameters VAR," Papers 1906.02140, arXiv.org.
    5. Gary Koop, 2013. "Using VARs and TVP-VARs with Many Macroeconomic Variables," Working Papers 1303, University of Strathclyde Business School, Department of Economics.
    6. Mr. Jorge A Chan-Lau, 2017. "Lasso Regressions and Forecasting Models in Applied Stress Testing," IMF Working Papers 2017/108, International Monetary Fund.
    7. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse VAR models," Papers 1608.02740, arXiv.org, revised Oct 2018.
    8. Louzis Dimitrios P., 2016. "Steady-state priors and Bayesian variable selection in VAR forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
    9. Kascha, Christian & Trenkler, Carsten, 2015. "Forecasting VARs, model selection, and shrinkage," Working Papers 15-07, University of Mannheim, Department of Economics.
    10. Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 2016_09, Business School - Economics, University of Glasgow.
    11. Sandra Stankiewicz, 2015. "Forecasting Euro Area Macroeconomic Variables with Bayesian Adaptive Elastic Net," Working Paper Series of the Department of Economics, University of Konstanz 2015-12, Department of Economics, University of Konstanz.
    12. Ziel, Florian, 2016. "Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR–ARCH type processes," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 773-793.
    13. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2023. "Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage," International Journal of Forecasting, Elsevier, vol. 39(1), pages 346-363.
    14. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Using hierarchical aggregation constraints to nowcast regional economic aggregates," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-04, Economic Statistics Centre of Excellence (ESCoE).
    15. Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite Likelihood Methods for Large Bayesian VARs with Stochastic Volatility," Working Paper Series 44, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    16. Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage," CAMA Working Papers 2019-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    17. Mihaela Simionescu, 2016. "Foreign Direct Investment and Sustainable Development. A Regional Approach for Romania," Working Papers of Macroeconomic Modelling Seminar 162702, Institute for Economic Forecasting.
    18. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates," Working Papers 22-06, Federal Reserve Bank of Cleveland.
    19. Guibert, Quentin & Lopez, Olivier & Piette, Pierrick, 2019. "Forecasting mortality rate improvements with a high-dimensional VAR," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 255-272.
    20. Deborah Gefang & Geraint Johnes, 2017. "Asymmetric volatility spillovers between the U.K. regional worker flows and vacancies," Applied Economics, Taylor & Francis Journals, vol. 49(50), pages 5117-5133, October.
    21. Yang Aijun & Xiang Ju & Yang Hongqiang & Lin Jinguan, 2018. "Sparse Bayesian Variable Selection in Probit Model for Forecasting U.S. Recessions Using a Large Set of Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 1123-1138, April.
    22. Koop, Gary & McIntyre, Stuart & Mitchell, James & Poon, Aubrey, 2019. "Regional Output Growth in the United Kingdom: More Timely and Higher Frequency Estimates, 1970-2017," EMF Research Papers 20, Economic Modelling and Forecasting Group.
    23. Volha Audzei & Sergey Slobodyan, 2018. "Sparse Restricted Perception Equilibrium," Working Papers 2018/8, Czech National Bank.
    24. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2020. "Regional output growth in the United Kingdom: More timely and higher frequency estimates from 1970," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 176-197, March.
    25. Xianyi Wu & Xian Zhou, 2019. "On Hodges’ superefficiency and merits of oracle property in model selection," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(5), pages 1093-1119, October.
    26. Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," Working Papers 2019-03, Joint Research Centre, European Commission.
    27. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Domenico Sartore, 2018. "A scoring rule for factor and autoregressive models under misspecification," Working Papers 2018:18, Department of Economics, University of Venice "Ca' Foscari".
    28. Nikita Fokin & Andrey Polbin, 2019. "Forecasting Russia's Key Macroeconomic Indicators with the VAR-LASSO Model," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 67-93, June.
    29. Korobilis, Dimitris, 2016. "Prior selection for panel vector autoregressions," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 110-120.
    30. Mogliani, Matteo & Simoni, Anna, 2021. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Journal of Econometrics, Elsevier, vol. 222(1), pages 833-860.
    31. Nicholson, William B. & Matteson, David S. & Bien, Jacob, 2017. "VARX-L: Structured regularization for large vector autoregressions with exogenous variables," International Journal of Forecasting, Elsevier, vol. 33(3), pages 627-651.
    32. Mike K. P. So & Wing Ki Liu & Amanda M. Y. Chu, 2018. "Bayesian Shrinkage Estimation Of Time-Varying Covariance Matrices In Financial Time Series," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 369-404, December.
    33. Gelper, Sarah & Wilms, Ines & Croux, Christophe, 2016. "Identifying Demand Effects in a Large Network of Product Categories," Journal of Retailing, Elsevier, vol. 92(1), pages 25-39.
    34. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse seemingly unrelated regression model (SUR)," Working Papers 2016:20, Department of Economics, University of Venice "Ca' Foscari".
    35. Roberto Casarin & Daniel Felix Ahelegbey & Monica Billio, 2014. "Sparse Graphical Vector Autoregression: A Bayesian Approach," Working Papers 2014:29, Department of Economics, University of Venice "Ca' Foscari".
    36. Michele Campolieti & Deborah Gefang & Gary Koop, 2013. "Technical appendix to: a new look at variation in employment growth in Canada," Working Papers 26145533, Lancaster University Management School, Economics Department.

  7. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2012. "The dynamics of UK and US inflation expectations," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3120-3133.
    See citations under working paper version above.
  8. Deborah Gefang, 2012. "Money‐output Causality Revisited – A Bayesian Logistic Smooth Transition VECM Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(1), pages 131-151, February.

    Cited by:

    1. Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Documents de Travail de l'OFCE 2018-18, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. Hernán Rincón & Norberto Rodríguez, 2016. "Nonlinear Pass-Through of Exchange Rate Shocks on Inflation: A Bayesian Smooth Transition VAR Approach," IHEID Working Papers 13-2016, Economics Section, The Graduate Institute of International Studies.
    3. Li, Haiqi & Zhong, Wanling & Park, Sung Y., 2016. "Generalized cross-spectral test for nonlinear Granger causality with applications to money–output and price–volume relations," Economic Modelling, Elsevier, vol. 52(PB), pages 661-671.
    4. Timo Teräsvirta, 2017. "Nonlinear models in macroeconometrics," CREATES Research Papers 2017-32, Department of Economics and Business Economics, Aarhus University.
    5. Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 48-64, April.
    6. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    7. Sercan Eraslan, 2019. "Asymmetric arbitrage trading on offshore and onshore renminbi markets," Empirical Economics, Springer, vol. 57(5), pages 1653-1675, November.
    8. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    9. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..
    10. Hernán Rincón-Castro & Norberto Rodríguez-Niño, 2018. "Nonlinear state and shock dependence of exchange rate pass through on prices," BIS Working Papers 690, Bank for International Settlements.

  9. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011. "Understanding liquidity and credit risks in the financial crisis," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 903-914.
    See citations under working paper version above.
  10. Gefang Deborah & Strachan Rodney, 2009. "Nonlinear Impacts of International Business Cycles on the U.K. -- A Bayesian Smooth Transition VAR Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-33, December.

    Cited by:

    1. Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Documents de Travail de l'OFCE 2018-18, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. Joshua C.C. Chan, 2015. "Specification tests for time-varying parameter models with stochastic volatility," CAMA Working Papers 2015-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Ringwald, Leopold & Zörner, Thomas O., 2023. "The money-inflation nexus revisited," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 293-333.
    4. Bao H. NGUYEN & OKIMOTO Tatsuyoshi & Trung Duc TRAN, 2019. "Uncertainty-Dependent and Sign-Dependent Effects of Oil Market Shocks," Discussion papers 19042, Research Institute of Economy, Trade and Industry (RIETI).
    5. Kotz Hans-Helmut & Semmler Willi & Tahri Ibrahim, 2018. "Financial fragmentation and the monetary transmission mechanism in the euro area: a smooth transition VAR approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-19, December.
    6. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    7. Hauzenberger, Niko & Pfarrhofer, Michael & Stelzer, Anna, 2021. "On the effectiveness of the European Central Bank’s conventional and unconventional policies under uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 822-845.

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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 15 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-CBA: Central Banking (6) 2008-01-26 2011-06-11 2011-06-11 2012-06-05 2012-06-05 2020-10-12. Author is listed
  2. NEP-MAC: Macroeconomics (6) 2008-01-26 2008-01-26 2011-06-11 2012-06-05 2012-06-05 2020-10-12. Author is listed
  3. NEP-MON: Monetary Economics (5) 2008-01-26 2011-06-11 2012-06-05 2012-06-05 2020-10-12. Author is listed
  4. NEP-ECM: Econometrics (4) 2019-02-04 2020-07-27 2022-07-25 2023-10-16
  5. NEP-ETS: Econometric Time Series (4) 2008-01-26 2008-01-26 2019-02-04 2020-07-27
  6. NEP-ORE: Operations Research (4) 2019-02-04 2019-04-15 2019-10-21 2020-07-27
  7. NEP-BAN: Banking (3) 2010-12-04 2011-06-11 2012-06-05
  8. NEP-BEC: Business Economics (2) 2008-01-26 2012-03-21
  9. NEP-EEC: European Economics (2) 2008-01-26 2020-10-12
  10. NEP-RMG: Risk Management (2) 2011-06-11 2012-06-05
  11. NEP-FMK: Financial Markets (1) 2011-06-11
  12. NEP-FOR: Forecasting (1) 2019-10-21
  13. NEP-GEO: Economic Geography (1) 2023-10-16
  14. NEP-GER: German Papers (1) 2023-10-16
  15. NEP-IFN: International Finance (1) 2012-06-05
  16. NEP-LAB: Labour Economics (1) 2012-03-21
  17. NEP-URE: Urban and Real Estate Economics (1) 2023-10-16

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