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Deborah Gefang

Personal Details

First Name:Deborah
Middle Name:
Last Name:Gefang
Suffix:
RePEc Short-ID:pge123

Affiliation

Department of Economics
Leicester University

Leicester, United Kingdom
http://www.le.ac.uk/economics/

: +44 (0)116 252 2887
+44 (0)116 252 2908
University Road. Leicester. LE1 7RH
RePEc:edi:deleiuk (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Deborah Gefang & Geraint Johnes, 2014. "Asymmetric volatility spillovers between UK regional worker flows and vacancies," Discussion Papers in Economics 14/08, Department of Economics, University of Leicester.
  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.
  3. 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.
  4. Michele Campolieti & Deborah Gefang & Gary Koop, 2011. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," Working Papers 1138, University of Strathclyde Business School, Department of Economics.
  5. 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.
  6. Deborah Gefang & Gary Koop & Simon M. Potter, 2010. "Understanding Liquidity and Credit Risks in the Financial Crisis," Working Paper series 45_10, Rimini Centre for Economic Analysis.
  7. Deborah Gefang & Gary Koop & Simon M. Potter, 2009. "The Dynamics of UK and US Inflation Expectations," Working Paper series 14_09, Rimini Centre for Economic Analysis.
  8. 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, Department of Economics, University of Leicester.
  9. Deborah Gefang, 2008. "Revisiting money-output causality from a Bayesian logistic smooth transition VECM perspective," Discussion Papers in Economics 08/5, Department of Economics, University of Leicester.

Articles

  1. 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.
  2. 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.
  3. 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.
  4. Gefang, Deborah, 2014. "Bayesian doubly adaptive elastic-net Lasso for VAR shrinkage," International Journal of Forecasting, Elsevier, vol. 30(1), pages 1-11.
  5. 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.
  6. 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.
  7. 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.
  8. 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.

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. Michele Campolieti & Deborah Gefang & Gary Koop, 2011. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," Working Papers 1138, University of Strathclyde Business School, Department of Economics.

    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.

  2. 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. 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.

  3. Deborah Gefang & Gary Koop & Simon M. Potter, 2010. "Understanding Liquidity and Credit Risks in the Financial Crisis," Working Paper series 45_10, Rimini Centre for Economic Analysis.

    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. 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.
    3. King, Thomas B. & Lewis, Kurt F., 2015. "Credit Risk, Liquidity and Lies," Finance and Economics Discussion Series 2015-112, Board of Governors of the Federal Reserve System (US).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Prokopczuk, Marcel & Siewert, Jan B. & Vonhoff, Volker, 2013. "Credit risk in covered bonds," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 102-120.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    15. 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).
    16. King, Thomas B. & Lewis, Kurt F., 2014. "What Drives Bank Funding Spreads?," Working Paper Series WP-2014-23, Federal Reserve Bank of Chicago.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.

  4. Deborah Gefang & Gary Koop & Simon M. Potter, 2009. "The Dynamics of UK and US Inflation Expectations," Working Paper series 14_09, Rimini Centre for Economic Analysis.

    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. Speck, Christian, 2017. "Inflation anchoring in the euro area," Working Paper Series 1998, European Central Bank.
    5. Speck, Christian, 2016. "Inflation anchoring in the euro area," Discussion Papers 04/2016, Deutsche Bundesbank.
    6. Till Strohsal & Lars Winkelmann, 2012. "Assessing the Anchoring of Inflation Expectations," SFB 649 Discussion Papers SFB649DP2012-022, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    7. 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.
    8. 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.
    9. Speck, Christian, 2016. "Inflation Anchoring in the Euro Area," Annual Conference 2016 (Augsburg): Demographic Change 145697, Verein für Socialpolitik / German Economic Association.
    10. Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.

  5. 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, Department of Economics, 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. 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.
    5. 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).

Articles

  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.

    Cited by:

    1. Chudik, Alexander & Koech, Janet & Wynne, Mark A., 2018. "The Heterogeneous Effects of Global and National Business Cycles on Employment in U.S. States and Metropolitan Areas," Globalization Institute Working Papers 343, Federal Reserve Bank of Dallas.

  2. 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. 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.
    2. 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.
    3. 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.

  3. 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 5460, 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. Gary Koop, 2013. "Using VARs and TVP-VARs with Many Macroeconomic Variables," Working Papers 1303, University of Strathclyde Business School, Department of Economics.
    5. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse VAR models," Papers 1608.02740, arXiv.org, revised Oct 2018.
    6. 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.
    7. Kascha, Christian & Trenkler, Carsten, 2015. "Forecasting VARs, model selection, and shrinkage," Working Papers 15-07, University of Mannheim, Department of Economics.
    8. Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 2016_09, Business School - Economics, University of Glasgow.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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".
    15. Korobilis, Dimitris, 2016. "Prior selection for panel vector autoregressions," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 110-120.
    16. Jorge A Chan-Lau, 2017. "Lasso Regressions and Forecasting Models in Applied Stress Testing," IMF Working Papers 17/108, International Monetary Fund.
    17. 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.
    18. 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".
    19. Deborah Gefang & Geraint Johnes, 2014. "Asymmetric volatility spillovers between UK regional worker flows and vacancies," Discussion Papers in Economics 14/08, Department of Economics, University of Leicester.
    20. 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".
    21. 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.

  4. 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.
  5. 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. 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.
    2. 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.
    3. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
    4. Timo Teräsvirta, 2909. "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, November.
    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. 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.

  6. 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.
  7. 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. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
    2. 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.

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 12 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 (5) 2008-01-26 2011-06-11 2011-06-11 2012-06-05 2012-06-05. Author is listed
  2. NEP-MAC: Macroeconomics (5) 2008-01-26 2008-01-26 2011-06-11 2012-06-05 2012-06-05. Author is listed
  3. NEP-MON: Monetary Economics (4) 2008-01-26 2011-06-11 2012-06-05 2012-06-05
  4. NEP-BAN: Banking (3) 2010-12-04 2011-06-11 2012-06-05
  5. NEP-BEC: Business Economics (2) 2008-01-26 2012-03-21
  6. NEP-ETS: Econometric Time Series (2) 2008-01-26 2008-01-26
  7. NEP-RMG: Risk Management (2) 2011-06-11 2012-06-05
  8. NEP-EEC: European Economics (1) 2008-01-26
  9. NEP-FMK: Financial Markets (1) 2011-06-11
  10. NEP-IFN: International Finance (1) 2012-06-05
  11. NEP-LAB: Labour Economics (1) 2012-03-21

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