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Constantin Rudolf Salomo Bürgi
(Constantin Rudolf Salomo Burgi)

Personal Details

First Name:Constantin
Middle Name:Rudolf Salomo
Last Name:Bürgi
Suffix:
RePEc Short-ID:pbr481
[This author has chosen not to make the email address public]
http://www.musikbase.net/cburgi/index.html
Terminal Degree:2018 Department of Economics; George Washington University (from RePEc Genealogy)

Affiliation

(80%) Economics Department
St. Mary's College of Maryland

St. Mary's City, Maryland (United States)
http://www.smcm.edu/economics/

:

18952 E. Fisher Rd., St. Mary's City, MD 20686-3000
RePEc:edi:ecsmcus (more details at EDIRC)

(10%) Research Program on Forecasting
Department of Economics
George Washington University

Washington, District of Columbia (United States)
http://www.gwu.edu/~forcpgm/

: (202) 994-6150
(202) 994-6147
(202) 994-6150
RePEc:edi:pfgwuus (more details at EDIRC)

(10%) ifo Institut - Leibniz-Institut für Wirtschaftsforschung an der Universität München e.V.

München, Germany
http://www.ifo.de/

: +49-89-9224-0
+49-89-985369
Poschingerstr. 5, 81679 München
RePEc:edi:ifooode (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Eiji Goto & Constantin Bürgi, 2019. "Sectoral Okun’s Law and Cross-Country Cyclical Differences," Working Papers 2019-002, The George Washington University, Department of Economics, Research Program on Forecasting.
  2. Constantin Bürgi & Vida Bobic & Min Wu, 2019. "Net Capital Flows and Portfolio Diversification," CESifo Working Paper Series 7883, CESifo Group Munich.
  3. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, Department of Economics, Research Program on Forecasting.
  4. Constantin Bürgi & Tara M. Sinclair, 2015. "A Nonparametric Approach to Identifying a Subset of Forecasters that Outperforms the Simple Average," Working Papers 2015-006, The George Washington University, Department of Economics, Research Program on Forecasting.
  5. Constantin Burgi, 2015. "Can A Subset Of Forecasters Beat The Simple Average In The Spf?," Working Papers 2015-001, The George Washington University, Department of Economics, Research Program on Forecasting.
  6. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs & Constantin Bürgi, 2009. "Google Searches as a Means of Improving the Nowcasts of Key Macroeconomic Variables," Discussion Papers of DIW Berlin 946, DIW Berlin, German Institute for Economic Research.

Articles

  1. Constantin Bürgi & Tara M. Sinclair, 2017. "A nonparametric approach to identifying a subset of forecasters that outperforms the simple average," Empirical Economics, Springer, vol. 53(1), pages 101-115, August.
  2. Bürgi, Constantin, 2017. "Bias, rationality and asymmetric loss functions," Economics Letters, Elsevier, vol. 154(C), pages 113-116.

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. Constantin Bürgi & Tara M. Sinclair, 2015. "A Nonparametric Approach to Identifying a Subset of Forecasters that Outperforms the Simple Average," Working Papers 2015-006, The George Washington University, Department of Economics, Research Program on Forecasting.

    Cited by:

    1. Francis X. Diebold & Minchul Shin, 2018. "Machine Learning for Regularized Survey Forecast Combination: Partially-Egalitarian Lasso and its Derivatives," NBER Working Papers 24967, National Bureau of Economic Research, Inc.

  2. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs & Constantin Bürgi, 2009. "Google Searches as a Means of Improving the Nowcasts of Key Macroeconomic Variables," Discussion Papers of DIW Berlin 946, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Oestmann Marco & Bennöhr Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," Review of Economics, De Gruyter, vol. 66(1), pages 99-127, April.
    2. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
    3. Azusa Matsumoto & Kohei Matsumura & Noriyuki Shiraki, 2013. "Potential of Search Data in Assessment of Current Economic Conditions," Bank of Japan Research Papers 2013-04-18, Bank of Japan.

Articles

  1. Constantin Bürgi & Tara M. Sinclair, 2017. "A nonparametric approach to identifying a subset of forecasters that outperforms the simple average," Empirical Economics, Springer, vol. 53(1), pages 101-115, August.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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 6 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-FOR: Forecasting (4) 2009-11-21 2015-05-09 2016-05-28 2016-12-04
  2. NEP-MAC: Macroeconomics (2) 2016-12-04 2019-07-22
  3. NEP-ECM: Econometrics (1) 2016-05-28
  4. NEP-ETS: Econometric Time Series (1) 2015-05-09
  5. NEP-FMK: Financial Markets (1) 2019-11-04
  6. NEP-IFN: International Finance (1) 2019-11-04
  7. NEP-LAB: Labour Economics (1) 2019-07-22
  8. NEP-ORE: Operations Research (1) 2016-12-04

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