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Iskander Karibzhanov

Personal Details

First Name:Iskander
Middle Name:
Last Name:Karibzhanov
Suffix:
RePEc Short-ID:pka830
[This author has chosen not to make the email address public]
http://karibzhanov.com
234 Wellington Street Ottawa, Ontario K1A 0G9
613-782-8623
Terminal Degree:2013 Department of Economics; University of Minnesota (from RePEc Genealogy)

Affiliation

Bank of Canada

Ottawa, Canada
http://www.bank-banque-canada.ca/
RePEc:edi:bocgvca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Xiangjin Shen & Iskander Karibzhanov & Hiroki Tsurumi & Shiliang Li, 2022. "Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models," Staff Working Papers 22-31, Bank of Canada.
  2. Iskander Karibzhanov, 2020. "Towards a HANK Model for Canada: Estimating a Canadian Income Process," Discussion Papers 2020-13, Bank of Canada.

Articles

  1. Jalles, João Tovar & Karibzhanov, Iskander & Loungani, Prakash, 2015. "Cross-country evidence on the quality of private sector fiscal forecasts," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 186-201.

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. Iskander Karibzhanov, 2020. "Towards a HANK Model for Canada: Estimating a Canadian Income Process," Discussion Papers 2020-13, Bank of Canada.

    Cited by:

    1. Edouard Djeutem & Mario He & Abeer Reza & Yang Zhang, 2022. "Household Heterogeneity and the Performance of Monetary Policy Frameworks," Staff Working Papers 22-12, Bank of Canada.

Articles

  1. Jalles, João Tovar & Karibzhanov, Iskander & Loungani, Prakash, 2015. "Cross-country evidence on the quality of private sector fiscal forecasts," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 186-201.

    Cited by:

    1. Zidong An & Joao Tovar Jalles, 2020. "On the performance of US fiscal forecasts: government vs. private information," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(2), pages 367-391, June.
    2. Joao Tovar Jalles, 2015. "How Quickly is News Incorporated in Fiscal Forecasts?," Economics Bulletin, AccessEcon, vol. 35(4), pages 2802-2812.
    3. Frankel, Jeffrey A. & Schreger, Jesse, 2016. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?," Working Paper Series 16-021, Harvard University, John F. Kennedy School of Government.
    4. Klaus-Peter Hellwig, 2018. "Overfitting in Judgment-based Economic Forecasts: The Case of IMF Growth Projections," IMF Working Papers 2018/260, International Monetary Fund.
    5. Maritta Paloviita & Pasi Ikonen, 2018. "Real-time uncertainty in budget planning: evidence from euro area countries," Journal of Economic Policy Reform, Taylor and Francis Journals, vol. 21(4), pages 281-300, October.
    6. Jalles, João Tovar, 2017. "On the rationality and efficiency of inflation forecasts: Evidence from advanced and emerging market economies," Research in International Business and Finance, Elsevier, vol. 40(C), pages 175-189.
    7. Vasconcelos de Deus, Joseph David Barroso & de Mendonça, Helder Ferreira, 2017. "Fiscal forecasting performance in an emerging economy: An empirical assessment of Brazil," Economic Systems, Elsevier, vol. 41(3), pages 408-419.
    8. António Afonso & João Tovar Jalles, 2017. "Fiscal Activism and Price Volatility: Evidence from Advanced and Emerging Economies," Working Papers Department of Economics 2017/04, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    9. Carabotta, Laura & Paluzie, Elisenda & Ramos, Raul, 2017. "Does fiscal responsibility matter? Evidence from public and private forecasters in Italy," International Journal of Forecasting, Elsevier, vol. 33(3), pages 694-706.

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 2 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-DCM: Discrete Choice Models (1) 2022-07-25. Author is listed
  2. NEP-ECM: Econometrics (1) 2022-07-25. Author is listed
  3. NEP-MAC: Macroeconomics (1) 2020-12-21. Author is listed
  4. NEP-ORE: Operations Research (1) 2020-12-21. Author is listed

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