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Sacha Gelfer

Personal Details

First Name:Sacha
Middle Name:
Last Name:Gelfer
Suffix:
RePEc Short-ID:pge316
[This author has chosen not to make the email address public]
http://www.sachagelfer.com

Affiliation

Department of Economics
Bentley University

Waltham, Massachusetts (United States)
http://www.bentley.edu/economics/
RePEc:edi:debenus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Gelfer, Sacha & Gibbs, Christopher, 2021. "Comparing Monetary Policy Tools in an Estimated DSGE model with International Financial Markets," Working Papers 2021-13, University of Sydney, School of Economics.

Articles

  1. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
  2. Sacha Gelfer & Jeffrey A. Livingston & Sutanuka Roy, 2022. "The Effect of Teaching Economics with Classroom Experiments: Estimates from a Within-Subject Experiment," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 619-623, May.
  3. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
  4. Gelfer, Sacha, 2020. "The effects of professional forecast dissemination on macroeconomic volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 131-156.
  5. Gelfer, Sacha, 2020. "Re-evaluating Okun’s Law: Why all recessions and recoveries are “different”," Economics Letters, Elsevier, vol. 196(C).
  6. Sacha Gelfer, 2019. "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 18-41, April.

Software components

  1. Sacha Gelfer, 2019. "Code and data files for "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery"," Computer Codes 18-269, Review of Economic Dynamics.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).

    Cited by:

    1. Audzei, Volha, 2023. "Learning and cross-country correlations in a multi-country DSGE model," Economic Modelling, Elsevier, vol. 120(C).
    2. Deng, Qiu Shi & Alvarado, Rafael & Cheng, Fang Nan & Cuesta, Lizeth & Wang, Chun Bao & Pinzón, Stefania, 2023. "Long-run mechanism for house price regulation in China: Real estate tax, monetary policy or macro-prudential policy?," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 174-186.
    3. Donald Coletti, 2023. "A Blueprint for the Fourth Generation of Bank of Canada Projection and Policy Analysis Models," Discussion Papers 2023-23, Bank of Canada.

  2. Gelfer, Sacha, 2020. "Re-evaluating Okun’s Law: Why all recessions and recoveries are “different”," Economics Letters, Elsevier, vol. 196(C).

    Cited by:

    1. Mihai Mutascu & Alexandre Sokic, 2021. "Okun's law in the US: New insights in time and frequency," Post-Print hal-03676246, HAL.
    2. Chenini Moussa & Ayad Hicham & Attouchi Manel & Dahmani Mohamed Driouche, 2023. "Testing the Validity of Okun’s Law in Algeria: Is there a difference between Maki’s Cointegration and Quantile’s Regression Results?," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 42-63, June.

  3. Sacha Gelfer, 2019. "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 18-41, April.

    Cited by:

    1. Lien Laureys & Roland Meeks & Boromeus Wanengkirtyo, 2020. "Optimal simple objectives for monetary policy when banks matter," CAMA Working Papers 2020-98, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
    3. Gelfer, Sacha, 2020. "Re-evaluating Okun’s Law: Why all recessions and recoveries are “different”," Economics Letters, Elsevier, vol. 196(C).
    4. Gelfer, Sacha & Gibbs, Christopher, 2021. "Comparing Monetary Policy Tools in an Estimated DSGE model with International Financial Markets," Working Papers 2021-13, University of Sydney, School of Economics.
    5. Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "A Bayesian DSGE Approach to Modelling Cryptocurrency"," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1012-1035, December.
    6. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    7. Bas Scheer, 2022. "Addressing Unemployment Rate Forecast Errors in Relation to the Business Cycle," CPB Discussion Paper 434, CPB Netherlands Bureau for Economic Policy Analysis.
    8. Bowen Fu, Ivan Mendieta-Muñoz, 2023. "Structural shocks and trend inflation," Working Paper Series, Department of Economics, University of Utah 2023_04, University of Utah, Department of Economics.
    9. Donald Coletti, 2023. "A Blueprint for the Fourth Generation of Bank of Canada Projection and Policy Analysis Models," Discussion Papers 2023-23, Bank of Canada.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper 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 (1) 2022-03-14. Author is listed
  2. NEP-DGE: Dynamic General Equilibrium (1) 2022-03-14. Author is listed
  3. NEP-MAC: Macroeconomics (1) 2022-03-14. Author is listed
  4. NEP-MON: Monetary Economics (1) 2022-03-14. Author is listed
  5. NEP-OPM: Open Economy Macroeconomics (1) 2022-03-14. Author is listed

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