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Alain Galli

Personal Details

First Name:Alain
Middle Name:
Last Name:Galli
Suffix:
RePEc Short-ID:pga722
[This author has chosen not to make the email address public]
Swiss National Bank / Schweizerische Nationalbank Börsenstrasse 15 P.O. Box CH-8022 Zürich

Affiliation

Schweizerische Nationalbank (SNB)

Bern/Zürich, Switzerland
http://www.snb.ch/
RePEc:edi:snbgvch (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Dr. Alain Galli & Dr. Rina Rosenblatt-Wisch, 2022. "Analysing households' consumption and saving patterns using tax data," Working Papers 2022-03, Swiss National Bank.
  2. Dr. Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.
  3. Dr. Alain Galli & Dr. Christian Hepenstrick & Dr. Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.
  4. Dr. Alain Galli, 2016. "Sticky consumption and wealth effects in Switzerland," Working Papers 2016-14, Swiss National Bank.
  5. Dr. Alain Galli, 2016. "How reliable are cointegration-based estimates for wealth effects on consumption? Evidence from Switzerland," Working Papers 2016-03, Swiss National Bank.

Articles

  1. Alain Galli, 2019. "Sticky Consumption and Wealth Effects in Switzerland," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 930-952, December.
  2. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2019. "Mixed-Frequency Models for Tracking Short-Term Economic Developments in Switzerland," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 151-178, June.
  3. Alain Galli, 2018. "Which Indicators Matter? Analyzing the Swiss Business Cycle Using a Large-Scale Mixed-Frequency Dynamic Factor Model," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 179-218, November.
  4. Alain Galli, 2017. "How Reliable are Cointegration-Based Estimates for Wealth Effects on Consumption? Evidence from Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 153(4), pages 437-479, October.

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. Dr. Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.

    Cited by:

    1. Marc Burri & Daniel Kaufmann, 2020. "A daily fever curve for the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
    2. Klaus Abberger & Michael Graff & Oliver Müller & Boriss Silverstovs, 2022. "Imputing monthly values for quarterly time series. An application performed with Swiss business cycle data," KOF Working papers 22-509, KOF Swiss Economic Institute, ETH Zurich.
    3. Simon Beyeler, 2019. "Streamlining Time-varying VAR with a Factor Structure in the Parameters," Working Papers 19.03, Swiss National Bank, Study Center Gerzensee.
    4. Erhan Uluceviz & Kamil Yilmaz, 2020. "Real-financial connectedness in the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
    5. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    6. Andreas Brunhart, 2019. "Der neue Konjunkturindex „KonSens“: Ein gleichlaufender, vierteljährlicher Sammelindikator für Liechtenstein," Arbeitspapiere 62, Liechtenstein-Institut.
    7. Zhang, Wei & He, Jie & Ge, Chanyuan & Xue, Rui, 2022. "Real-time macroeconomic monitoring using mixed frequency data: Evidence from China," Economic Modelling, Elsevier, vol. 117(C).
    8. Dr. Lucas Marc Fuhrer & Dr. Basil Guggenheim & Dr. Matthias Jüttner, 2018. "What do Swiss franc Libor futures really tell us?," Working Papers 2018-06, Swiss National Bank.
    9. Laura Felber & Dr. Simon Beyeler, 2023. "Nowcasting economic activity using transaction payments data," Working Papers 2023-01, Swiss National Bank.
    10. Juan G Brida & Bibiana Lanzilotta & Lucia I Rosich, 2021. "On the empirical relations between producers expectations and economic growth," Economics Bulletin, AccessEcon, vol. 41(3), pages 1970-1982.
    11. Agnieszka Gehringer & Thomas Mayer, 2021. "Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 71-89, April.
    12. Peter Kugler & George Sheldon, 2023. "A monthly leading indicator of Swiss GDP growth based on Okun’s law," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-14, December.
    13. Lucas Marc Fuhrer & Basil Guggenheim & Matthias Jüttner, 2019. "A survey-based estimation of the Swiss franc forward term premium," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-18, December.

  2. Dr. Alain Galli & Dr. Christian Hepenstrick & Dr. Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.

    Cited by:

    1. Erhan Uluceviz & Kamil Yilmaz, 2020. "Real-financial connectedness in the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
    2. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    3. Santiago Etchegaray Alvarez, 2022. "Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay," Documentos de trabajo 2022004, Banco Central del Uruguay.
    4. Dr. Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.
    5. Chikamatsu, Kyosuke & Hirakata, Naohisa & Kido, Yosuke & Otaka, Kazuki, 2021. "Mixed-frequency approaches to nowcasting GDP: An application to Japan," Japan and the World Economy, Elsevier, vol. 57(C).
    6. Liudmila Kitrar & Tamara Lipkind, 2021. "Assessment Of GDP Growth After The Corona Crisis Using The Results Of Business And Consumer Surveys," HSE Working papers WP BRP 118/STI/2021, National Research University Higher School of Economics.

  3. Dr. Alain Galli, 2016. "Sticky consumption and wealth effects in Switzerland," Working Papers 2016-14, Swiss National Bank.

    Cited by:

    1. Dr. Alain Galli, 2016. "How reliable are cointegration-based estimates for wealth effects on consumption? Evidence from Switzerland," Working Papers 2016-03, Swiss National Bank.

  4. Dr. Alain Galli, 2016. "How reliable are cointegration-based estimates for wealth effects on consumption? Evidence from Switzerland," Working Papers 2016-03, Swiss National Bank.

    Cited by:

    1. Gregor Bäurle & Rolf Scheufele, 2019. "Credit cycles and real activity: the Swiss case," Empirical Economics, Springer, vol. 56(6), pages 1939-1966, June.
    2. Alain Galli, 2019. "Sticky Consumption and Wealth Effects in Switzerland," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 930-952, December.
    3. Chi-Wei Su & Xiao-Cui Yin & Ran Tao, 2018. "How do housing prices affect consumption in China? New evidence from a continuous wavelet analysis," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-14, September.
    4. Dr. Alain Galli, 2016. "How reliable are cointegration-based estimates for wealth effects on consumption? Evidence from Switzerland," Working Papers 2016-03, Swiss National Bank.
    5. Ersi Athanassiou & Ekaterini Tsouma, 2017. "Financial and Housing Wealth Effects on Private Consumption: The Case of Greece," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(1), pages 63-86.

Articles

  1. Alain Galli, 2019. "Sticky Consumption and Wealth Effects in Switzerland," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 930-952, December.
    See citations under working paper version above.
  2. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2019. "Mixed-Frequency Models for Tracking Short-Term Economic Developments in Switzerland," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 151-178, June.
    See citations under working paper version above.
  3. Alain Galli, 2018. "Which Indicators Matter? Analyzing the Swiss Business Cycle Using a Large-Scale Mixed-Frequency Dynamic Factor Model," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 179-218, November.
    See citations under working paper version above.
  4. Alain Galli, 2017. "How Reliable are Cointegration-Based Estimates for Wealth Effects on Consumption? Evidence from Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 153(4), pages 437-479, October.
    See citations under working paper version above.Sorry, no citations of articles 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 5 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-MAC: Macroeconomics (5) 2016-04-04 2016-11-13 2017-02-05 2017-08-27 2022-02-21. Author is listed
  2. NEP-EEC: European Economics (1) 2017-08-27
  3. NEP-EUR: Microeconomic European Issues (1) 2022-02-21
  4. NEP-FDG: Financial Development and Growth (1) 2017-02-05
  5. NEP-FOR: Forecasting (1) 2017-02-05

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