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Andrew Binning

Personal Details

First Name:Andrew
Middle Name:
Last Name:Binning
Suffix:
RePEc Short-ID:pbi315
[This author has chosen not to make the email address public]
https://sites.google.com/site/andrewbinningecon/research

Affiliation

Treasury
Government of New Zealand

Wellington, New Zealand
http://www.treasury.govt.nz/

: +64 4 472 2733
+64 4 473 0982
PO Box 3724, Wellington
RePEc:edi:tregvnz (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Paper 2017/23, Norges Bank.
  2. Andrew Binning & Junior Maih, 2016. "Forecast uncertainty in the neighborhood of the effective lower bound: How much asymmetry should we expect?," Working Paper 2016/13, Norges Bank.
  3. Andrew Binning & Junior Maih, 2016. "Implementing the zero lower bound in an estimated regime-switching DSGE model," Working Paper 2016/3, Norges Bank.
  4. Farooq Akram & Andrew Binning & Junior Maih, 2016. "Joint Prediction Bands for Macroeconomic Risk Management," Working Papers No 5/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  5. Andrew Binning & Junior Maih, 2015. "Sigma Point Filters For Dynamic Nonlinear Regime Switching Models," Working Papers No 4/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  6. Andrew Binning & Junior Maih, 2015. "Applying Flexible Parameter Restrictions in Markov-Switching Vector Autoregression Models," Working Paper 2015/17, Norges Bank.
  7. Andrew Binning, 2013. "Solving second and third-order approximations to DSGE models: A recursive Sylvester equation solution," Working Paper 2013/18, Norges Bank.
  8. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
  9. Andrew Binning, 2013. "Third-order approximation of dynamic models without the use of tensors," Working Paper 2013/13, Norges Bank.
  10. Jaromír Beneš & Andrew Binning & Kirdan Lees, 2008. "Incorporating judgement with DSGE models," Reserve Bank of New Zealand Discussion Paper Series DP2008/10, Reserve Bank of New Zealand.

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. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Paper 2017/23, Norges Bank.

    Cited by:

    1. Kevin J. Lansing, 2017. "Endogenous Regime Switching Near the Zero Lower Bound," Working Paper Series 2017-24, Federal Reserve Bank of San Francisco, revised 28 Sep 2017.
    2. Nadav Ben Zeev, 2019. "Asymmetric Business Cycles In Emerging Market Economies," Working Papers 1909, Ben-Gurion University of the Negev, Department of Economics.
    3. Gary S. Anderson, 2018. "Reliably Computing Nonlinear Dynamic Stochastic Model Solutions: An Algorithm with Error Formulas," Finance and Economics Discussion Series 2018-070, Board of Governors of the Federal Reserve System (U.S.), revised 11 Oct 2018.
    4. Nadav Ben Zeev, 2019. "Identification of Sign-Dependency of Impulse Responses," Working Papers 1907, Ben-Gurion University of the Negev, Department of Economics.

  2. Andrew Binning & Junior Maih, 2016. "Forecast uncertainty in the neighborhood of the effective lower bound: How much asymmetry should we expect?," Working Paper 2016/13, Norges Bank.

    Cited by:

    1. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Paper 2017/23, Norges Bank.

  3. Andrew Binning & Junior Maih, 2016. "Implementing the zero lower bound in an estimated regime-switching DSGE model," Working Paper 2016/3, Norges Bank.

    Cited by:

    1. Andrew Binning & Junior Maih, 2016. "Forecast uncertainty in the neighborhood of the effective lower bound: How much asymmetry should we expect?," Working Paper 2016/13, Norges Bank.
    2. Masolo, Riccardo M. & Winant, Pablo E., 2019. "The Stochastic Lower Bound," Economics Letters, Elsevier, vol. 180(C), pages 54-57.
    3. Andrew Binning & Hilde C. Bjørnland & Junior Maih, 2019. "Is Monetary Policy Always Effective? Incomplete Interest Rate Pass-through in a DSGE Model," Working Papers No 09/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Farooq Akram & Andrew Binning & Junior Maih, 2016. "Joint prediction bands for macroeconomic risk management," Working Paper 2016/7, Norges Bank.
    5. Karamé, Frédéric, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Econometrics and Statistics, Elsevier, vol. 8(C), pages 204-230.
    6. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Paper 2017/23, Norges Bank.
    7. Kulish, Mariano & Morley, James & Robinson, Tim, 2017. "Estimating DSGE models with zero interest rate policy," Journal of Monetary Economics, Elsevier, vol. 88(C), pages 35-49.

  4. Farooq Akram & Andrew Binning & Junior Maih, 2016. "Joint Prediction Bands for Macroeconomic Risk Management," Working Papers No 5/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Syed Tehseen Jawaid, Abdul Waheed, 2017. "Uncertainty and Risk Analysis of Pakistan's Regional Trade: Fan Chart Approach," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 4(1), pages 55-81, March.

  5. Andrew Binning & Junior Maih, 2015. "Sigma Point Filters For Dynamic Nonlinear Regime Switching Models," Working Papers No 4/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Andrew Binning & Junior Maih, 2016. "Forecast uncertainty in the neighborhood of the effective lower bound: How much asymmetry should we expect?," Working Paper 2016/13, Norges Bank.
    2. Andrew Binning & Junior Maih, 2016. "Implementing the Zero Lower Bound in an Estimated Regime-Switching DSGE Model," Working Papers No 3/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    3. Karamé, Frédéric, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Econometrics and Statistics, Elsevier, vol. 8(C), pages 204-230.
    4. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Paper 2017/23, Norges Bank.

  6. Andrew Binning, 2013. "Solving second and third-order approximations to DSGE models: A recursive Sylvester equation solution," Working Paper 2013/18, Norges Bank.

    Cited by:

    1. Junior Maih, 2015. "Efficient perturbation methods for solving regime-switching DSGE models," Working Paper 2015/01, Norges Bank.
    2. Levintal, Oren, 2017. "Fifth-order perturbation solution to DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 1-16.
    3. Martin M. Andreasen & Anders Kronborg, 2017. "The Extended Perturbation Method: New Insights on the New Keynesian Model," CREATES Research Papers 2017-14, Department of Economics and Business Economics, Aarhus University.
    4. Martin M. Andreasen, 2019. "Explaining Bond Return Predictability in an Estimated New Keynesian Model," CREATES Research Papers 2019-11, Department of Economics and Business Economics, Aarhus University.
    5. Martin M. Andreasen & Kasper Jørgensen, 2016. "Explaining Asset Prices with Low Risk Aversion and Low Intertemporal Substitution," CREATES Research Papers 2016-16, Department of Economics and Business Economics, Aarhus University.

  7. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.

    Cited by:

    1. Duchi, Fabio & Elbourne, Adam, 2016. "Credit supply shocks in the Netherlands," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 51-71.
    2. Forbes, Kristin & Hjortsoe, Ida & Nenova, Tsvetelina, 2018. "The shocks matter: Improving our estimates of exchange rate pass-through," Journal of International Economics, Elsevier, vol. 114(C), pages 255-275.
    3. Valentin Jouvanceau, 2016. "The Portfolio Rebalancing Channel of Quantitative Easing," Working Papers halshs-01349870, HAL.
    4. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
    5. Gehrke, Britta & Yao, Fang, 2016. "Persistence and Volatility of Real Exchange Rates: The Role of Supply Shocks Revisited," Annual Conference 2016 (Augsburg): Demographic Change 145752, Verein für Socialpolitik / German Economic Association.
    6. Zeyyad Mandalinci & Haroon Mumtaz, 2019. "Global Economic Divergence and Portfolio Capital Flows to Emerging Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(6), pages 1713-1730, September.
    7. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
    8. Jonas Kibala Kuma, 2018. "Structural VAR Model : Theory review and practices on software
      [Le Modèle VAR Structurel : Eléments de théorie et pratiques sur logiciels]
      ," Post-Print cel-01771221, HAL.
    9. Zeyyad Mandalinci, 2015. "Effects of Monetary Policy Shocks on UK Regional Activity: A Constrained MFVAR Approach," Working Papers 758, Queen Mary University of London, School of Economics and Finance.
    10. Thomas S. Gundersen, 2018. "The Impact of U.S. Supply Shocks on the Global Oil Price," Working Papers No 7/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    11. Franz Ruch & Stan du Plessis, 2015. "Second-Round Effects from Food and Energy Prices- an SBVAR approach," Working Papers 7008, South African Reserve Bank.
    12. Mariarosaria Comunale & Davor Kunovac, 2017. "Exchange Rate Pass-Through in the Euro Area," Bank of Lithuania Working Paper Series 38, Bank of Lithuania.
    13. Elekdag, Selim & Han, Fei, 2015. "What drives credit growth in emerging Asia?," Journal of Asian Economics, Elsevier, vol. 38(C), pages 1-13.
    14. Villarreal, Francisco G., 2014. "Monetary Policy and Inequality in Mexico," MPRA Paper 57074, University Library of Munich, Germany.
    15. Valentin Jouvanceau, 2016. "The Portfolio Rebalancing Channel of Quantitative Easing," Working Papers 1625, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    16. Benjamin Beckers & Kerstin Bernoth, 2016. "Monetary Policy and Mispricing in Stock Markets," Discussion Papers of DIW Berlin 1605, DIW Berlin, German Institute for Economic Research.
    17. Arias, Jonas E. & Caldara, Dario & Rubio-Ramírez, Juan F., 2019. "The systematic component of monetary policy in SVARs: An agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 1-13.
    18. Ragna Alstadheim & Christine Blandhol, 2018. "The global financial cycle, bank capital flows and monetary policy. Evidence from Norway," Working Paper 2018/2, Norges Bank.
    19. Dąbrowski, Marek A. & Wróblewska, Justyna, 2015. "Exchange rate as a shock absorber or a shock propagator in Poland and Slovakia - an approach based on Bayesian SVAR models with common serial correlation," MPRA Paper 61441, University Library of Munich, Germany.
    20. Martin Bruns & Michele Piffer, 2018. "Bayesian Structural VAR models: a new approach for prior beliefs on impulse responses," Working Papers 878, Queen Mary University of London, School of Economics and Finance.
    21. Julio Carrillo, 2017. "Inquiry on the Transmission of U.S. Aggregate Shocks to Mexico: A SVAR Approach," 2017 Meeting Papers 1509, Society for Economic Dynamics.
    22. Kronick, Jeremy M. & Villarreal, Francisco G., 2019. "Distributional Impacts of Low for Long Interest Rates," MPRA Paper 93483, University Library of Munich, Germany.
    23. Benjamin Wong, 2013. "Inflation Dynamics and The Role of Oil Shocks: How Different Were the 1970s?," CAMA Working Papers 2013-59, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    24. Chen, Yong & Liu, Dingming, 2018. "Government spending shocks and the real exchange rate in China: Evidence from a sign-restricted VAR model," Economic Modelling, Elsevier, vol. 68(C), pages 543-554.
    25. Beckers, Benjamin & Bernoth, Kerstin, 2016. "Monetary Policy and Asset Mispricing," Annual Conference 2016 (Augsburg): Demographic Change 145684, Verein für Socialpolitik / German Economic Association.
    26. Bluwstein, Kristina & Yung, Julieta, 2019. "Back to the real economy: the effects of risk perception shocks on the term premium and bank lending," Bank of England working papers 806, Bank of England.
    27. Elisa Guglielminetti, 2016. "The labor market channel of macroeconomic uncertainty," Temi di discussione (Economic working papers) 1068, Bank of Italy, Economic Research and International Relations Area.
    28. Adam Elbourne & Fabio Duchi, 2016. "Credit Supply Shocks in the Netherlands," CPB Discussion Paper 320, CPB Netherlands Bureau for Economic Policy Analysis.
    29. Hernán Rincón-Castro & Norberto Rodríguez-Niño & John Castro-Pantoja, 2017. "Perturbaciones macroeconómicas, tasa de cambio y pass-through sobre precios," Borradores de Economia 982, Banco de la Republica de Colombia.
    30. Forbes, Kristin & Hjortsoe, Ida & Nenova, Tsvetelina, 2017. "Shocks versus structure: explaining differences in exchange rate pass-through across countries and time," Discussion Papers 50, Monetary Policy Committee Unit, Bank of England.
    31. Norberto Rodríguez-Niño & Alejandra Ramírez-Ramírez, 2018. "Metodologías semi-estructurales para estimar la Inflación básica mensual en Colombia," Borradores de Economia 1040, Banco de la Republica de Colombia.
    32. Arias, Jonas E. & Rubio-Ramírez, Juan Francisco & Waggoner, Daniel F, 2014. "Inference Based on SVAR Identified with Sign and Zero Restrictions: Theory and Applications," CEPR Discussion Papers 9796, C.E.P.R. Discussion Papers.
    33. Valentin Jouvanceau, 2019. "New Evidence on the Effects of Quantitative Easing," Working Papers 1912, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    34. Valentin Jouvanceau, 2019. "New Evidence on the Effects of Quantitative Easing," Working Papers halshs-02073826, HAL.

  8. Andrew Binning, 2013. "Third-order approximation of dynamic models without the use of tensors," Working Paper 2013/13, Norges Bank.

    Cited by:

    1. Junior Maih, 2015. "Efficient perturbation methods for solving regime-switching DSGE models," Working Paper 2015/01, Norges Bank.
    2. Hong Lan & Alexander Meyer-Gohde, 2011. "Solving DSGE Models with a Nonlinear Moving Average," SFB 649 Discussion Papers SFB649DP2011-087, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Mutschler, Willi, 2015. "Identification of DSGE models—The effect of higher-order approximation and pruning," Journal of Economic Dynamics and Control, Elsevier, vol. 56(C), pages 34-54.
    4. Andrew Binning, 2013. "Solving second and third-order approximations to DSGE models: A recursive Sylvester equation solution," Working Paper 2013/18, Norges Bank.

  9. Jaromír Beneš & Andrew Binning & Kirdan Lees, 2008. "Incorporating judgement with DSGE models," Reserve Bank of New Zealand Discussion Paper Series DP2008/10, Reserve Bank of New Zealand.

    Cited by:

    1. Andrew Binning & Junior Maih, 2016. "Forecast uncertainty in the neighborhood of the effective lower bound: How much asymmetry should we expect?," Working Paper 2016/13, Norges Bank.
    2. Sra Chuenchoksan & Don Nakornthab & Surach Tanboon, 2008. "Uncertainty in the Estimation of Potential Output and Implications for the Conduct of Monetary Policy," Working Papers 2008-04, Monetary Policy Group, Bank of Thailand.
    3. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    4. Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt, 2019. "Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 100-120.
    5. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    6. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    7. Michal Andrle, 2013. "Understanding DSGE Filters in Forecasting and Policy Analysis," IMF Working Papers 13/98, International Monetary Fund.
    8. Junior Maih, 2010. "Conditional forecasts in DSGE models," Working Paper 2010/07, Norges Bank.
    9. Jan Bruha & Tibor Hledik & Tomas Holub & Jiri Polansky & Jaromir Tonner, 2013. "Incorporating Judgments and Dealing with Data Uncertainty in Forecasting at the Czech National Bank," Research and Policy Notes 2013/02, Czech National Bank.
    10. Mehdiyev, Mehdi & Ahmadov, Vugar & Huseynov, Salman & Mammadov, Fuad, 2015. "Ölkə iqtisadiyyatı üzrə göstəricilərin modelləşdirilməsi və proqnozlaşdırılması: problemlər və praktiki çətinliklər
      [Modeling and forecasting of macroeconomic variables of the national economy: pro
      ," MPRA Paper 63517, University Library of Munich, Germany.

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 14 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-DGE: Dynamic General Equilibrium (10) 2008-06-21 2013-08-16 2015-06-20 2016-03-10 2016-03-17 2016-05-14 2016-05-14 2016-09-25 2017-11-26 2018-01-15. Author is listed
  2. NEP-ECM: Econometrics (7) 2008-06-21 2013-07-05 2013-08-16 2015-05-30 2015-12-08 2016-05-14 2017-11-26. Author is listed
  3. NEP-ETS: Econometric Time Series (5) 2013-07-05 2015-05-30 2015-06-20 2015-12-08 2016-02-04. Author is listed
  4. NEP-CBA: Central Banking (3) 2008-06-21 2013-08-16 2016-03-10
  5. NEP-FOR: Forecasting (3) 2008-06-21 2016-05-14 2016-09-25
  6. NEP-MON: Monetary Economics (3) 2008-06-21 2016-03-10 2016-03-17
  7. NEP-MAC: Macroeconomics (2) 2016-03-17 2016-05-14
  8. NEP-ORE: Operations Research (2) 2015-05-30 2015-06-20
  9. NEP-RMG: Risk Management (2) 2016-05-14 2016-05-14
  10. NEP-CMP: Computational Economics (1) 2013-08-16
  11. NEP-SPO: Sports & Economics (1) 2013-08-16

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