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Martyna Marczak

Personal Details

First Name:Martyna
Middle Name:
Last Name:Marczak
Suffix:
RePEc Short-ID:pma1308
http://www.martynamarczak.com
University of Hohenheim; Department of Economics (520G); Schloss, Museumsfluegel; 70593 Stuttgart; Germany

Affiliation

Institut für Volkswirtschaftslehre
Fakultät Wirtschafts- und Sozialwissenschaften
Universität Hohenheim

Hohenheim, Germany
http://www.uni-hohenheim.de/institution/institut-fuer-economics-11
RePEc:edi:ivhohde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Beissinger, Thomas & Hellier, Joël & Marczak, Martyna, 2020. "Divergence in Labour Force Growth: Should Wages and Prices Grow Faster in Germany?," IZA Discussion Papers 13538, Institute of Labor Economics (IZA).
  2. Marczak, Martyna & Beissinger, Thomas, 2018. "Competitiveness at the Country-Sector Level: New Measures Based on Global Value Chains," IZA Discussion Papers 11499, Institute of Labor Economics (IZA).
  3. Pfeifer, Gregor & Wahl, Fabian & Marczak, Martyna, 2016. "Illuminating the world cup effect: Night lights evidence from South Africa," Hohenheim Discussion Papers in Business, Economics and Social Sciences 16-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  4. Marczak, Martyna & Proietti, Tommaso & Grassi, Stefano, 2015. "A data-cleaning augmented Kalman filter for robust estimation of state space models," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  5. Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2015. "EuroMInd-D: A Density Estimate of Monthly Gross Domestic Product for the Euro Area," CREATES Research Papers 2015-12, Department of Economics and Business Economics, Aarhus University.
  6. Marczak, Martyna & Beissinger, Thomas, 2015. "Bidirectional relationship between investor sentiment and excess returns: New evidence from the wavelet perspective," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  7. Martyna Marczak & Tommaso Proietti, 2014. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," CEIS Research Paper 325, Tor Vergata University, CEIS, revised 08 Aug 2014.
  8. Marczak, Martyna & Gómez, Victor, 2013. "Monthly US business cycle indicators: A new multivariate approach based on a band-pass filter," FZID Discussion Papers 64-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  9. Marczak, Martyna & Gómez, Víctor, 2012. "SPECTRAN, a set of Matlab programs for Spectral analysis," FZID Discussion Papers 60-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  10. Marczak, Martyna & Gómez, Víctor, 2012. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," FZID Discussion Papers 50-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  11. Marczak, Martyna & Beissinger, Thomas, 2010. "Real Wages and the Business Cycle in Germany," IZA Discussion Papers 5199, Institute of Labor Economics (IZA).

Articles

  1. Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2019. "A class of periodic trend models for seasonal time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(2), pages 106-121, March.
  2. Marczak, Martyna & Proietti, Tommaso & Grassi, Stefano, 2018. "A data-cleaning augmented Kalman filter for robust estimation of state space models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 107-123.
  3. Gregor Pfeifer & Fabian Wahl & Martyna Marczak, 2018. "Illuminating the World Cup effect: Night lights evidence from South Africa," Journal of Regional Science, Wiley Blackwell, vol. 58(5), pages 887-920, November.
  4. Martyna Marczak & Víctor Gómez, 2017. "Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter," Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.
  5. Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2017. "Euromind‐ D : A Density Estimate of Monthly Gross Domestic Product for the Euro Area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 683-703, April.
  6. Marczak, Martyna & Proietti, Tommaso, 2016. "Outlier detection in structural time series models: The indicator saturation approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
  7. Martyna Marczak & Thomas Beissinger, 2016. "Bidirectional relationship between investor sentiment and excess returns: new evidence from the wavelet perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 23(18), pages 1305-1311, December.
  8. Marczak, Martyna & Gómez, Víctor, 2015. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," Economic Modelling, Elsevier, vol. 47(C), pages 40-52.
  9. Martyna Marczak & Thomas Beissinger, 2013. "Real wages and the business cycle in Germany," Empirical Economics, Springer, vol. 44(2), pages 469-490, April.

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. Marczak, Martyna & Beissinger, Thomas, 2018. "Competitiveness at the Country-Sector Level: New Measures Based on Global Value Chains," IZA Discussion Papers 11499, Institute of Labor Economics (IZA).

    Cited by:

    1. Grodzicki, Maciej J. & Skrzypek, Jurand, 2020. "Cost-competitiveness and structural change in value chains – vertically-integrated analysis of the European automotive sector," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 276-287.
    2. Beissinger, Thomas & Hellier, Joël & Marczak, Martyna, 2020. "Divergence in Labour Force Growth: Should Wages and Prices Grow Faster in Germany?," IZA Discussion Papers 13538, Institute of Labor Economics (IZA).

  2. Pfeifer, Gregor & Wahl, Fabian & Marczak, Martyna, 2016. "Illuminating the world cup effect: Night lights evidence from South Africa," Hohenheim Discussion Papers in Business, Economics and Social Sciences 16-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.

    Cited by:

    1. Joshua C. Hall & Josh Matti & Yang Zhou, 2017. "The Economic Impact of City-County Consolidations: A Synthetic Control Approach," Working Papers 17-08, Department of Economics, West Virginia University.
    2. Majdi Debbich, 2019. "Assessing Oil and Non-Oil GDP Growth from Space: An Application to Yemen 2012-17," IMF Working Papers 2019/221, International Monetary Fund.
    3. Matthias Firgo, 2019. "The Causal Economic Effects of Olympic Games on Host Regions," WIFO Working Papers 591, WIFO.
    4. Lehmann-Hasemeyer, Sibylle & Wahl, Fabian, 2017. "Savings Banks and the Industrial Revolution in Prussia Supporting Regional Development with Public Financial Institutions," CEPR Discussion Papers 12500, C.E.P.R. Discussion Papers.
    5. Russ, Jason, 2020. "Water runoff and economic activity: The impact of water supply shocks on growth," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    6. Martin Thomas Falk & Markku Vieru, 2021. "Short-term hotel room price effects of sporting events," Tourism Economics, , vol. 27(3), pages 569-588, May.

  3. Marczak, Martyna & Proietti, Tommaso & Grassi, Stefano, 2015. "A data-cleaning augmented Kalman filter for robust estimation of state space models," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.

    Cited by:

    1. Kenda Klemen & Mladenić Dunja, 2018. "Autonomous Sensor Data Cleaning in Stream Mining Setting," Business Systems Research, Sciendo, vol. 9(2), pages 69-79, July.
    2. Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020. "Variance swap payoffs, risk premia and extreme market conditions," Econometrics and Statistics, Elsevier, vol. 13(C), pages 106-124.

  4. Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2015. "EuroMInd-D: A Density Estimate of Monthly Gross Domestic Product for the Euro Area," CREATES Research Papers 2015-12, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Taylor, James W., 2020. "A strategic predictive distribution for tests of probabilistic calibration," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1380-1388.
    2. Marcus P. A. Cobb, 2020. "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, vol. 58(1), pages 287-312, January.
    3. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2018. "Forecasting the production side of GDP," Working Papers 2018-16, Swiss National Bank.
    4. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.

  5. Marczak, Martyna & Beissinger, Thomas, 2015. "Bidirectional relationship between investor sentiment and excess returns: New evidence from the wavelet perspective," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.

    Cited by:

    1. Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach," Finance Research Letters, Elsevier, vol. 26(C), pages 32-39.
    2. Angeliki Skoura, 2019. "Detection of Lead-Lag Relationships Using Both Time Domain and Time-Frequency Domain; An Application to Wealth-To-Income Ratio," Economies, MDPI, Open Access Journal, vol. 7(2), pages 1-27, April.

  6. Martyna Marczak & Tommaso Proietti, 2014. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," CEIS Research Paper 325, Tor Vergata University, CEIS, revised 08 Aug 2014.

    Cited by:

    1. Tommaso Proietti & Diego J. Pedregal, 2021. "Seasonality in High Frequency Time Series," CEIS Research Paper 508, Tor Vergata University, CEIS, revised 11 Mar 2021.
    2. Ericsson, Neil R., 2017. "Interpreting estimates of forecast bias," International Journal of Forecasting, Elsevier, vol. 33(2), pages 563-568.
    3. Neil R. Ericsson, 2017. "How Biased Are U.S. Government Forecasts of the Federal Debt?," Working Papers 2017-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Marczak, Martyna & Proietti, Tommaso & Grassi, Stefano, 2018. "A data-cleaning augmented Kalman filter for robust estimation of state space models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 107-123.
    5. Marcin Błażejowski & Jacek Kwiatkowski & Paweł Kufel, 2020. "BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl," Econometrics, MDPI, Open Access Journal, vol. 8(2), pages 1-29, May.
    6. Ruqayya Aljifri, 2020. "The Macroeconomy, Oil and the Stock Market: A Multiple Equation Time Series Analysis of Saudi Arabia," Economics Discussion Papers em-dp2020-27, Department of Economics, University of Reading.
    7. Ericsson Neil R., 2016. "Testing for and estimating structural breaks and other nonlinearities in a dynamic monetary sector," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 377-398, September.

  7. Marczak, Martyna & Gómez, Víctor, 2012. "SPECTRAN, a set of Matlab programs for Spectral analysis," FZID Discussion Papers 60-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).

    Cited by:

    1. Beaudry, Paul & Galizia, Dana & Portier, Franck, 2016. "Putting the Cycle Back into Business Cycle Analysis," CEPR Discussion Papers 11647, C.E.P.R. Discussion Papers.
    2. Martyna Marczak & Víctor Gómez, 2017. "Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter," Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.

  8. Marczak, Martyna & Gómez, Víctor, 2012. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," FZID Discussion Papers 50-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).

    Cited by:

    1. Marczak, Martyna & Beissinger, Thomas, 2015. "Bidirectional relationship between investor sentiment and excess returns: New evidence from the wavelet perspective," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    2. Funashima, Yoshito, 2015. "The Fed-Induced Political Business Cycle," MPRA Paper 63654, University Library of Munich, Germany.
    3. Panos Fousekis & Vasilis Grigoriadis, 2016. "Price co-movement in the principal skim milk powder producing regions: a wavelet analysis," Economics Bulletin, AccessEcon, vol. 36(1), pages 477-492.
    4. Funashima, Yoshito, 2017. "Time-varying leads and lags across frequencies using a continuous wavelet transform approach," Economic Modelling, Elsevier, vol. 60(C), pages 24-28.
    5. Fabio Verona, 2016. "Time-frequency characterization of the U.S. financial cycle," CEF.UP Working Papers 1605, Universidade do Porto, Faculdade de Economia do Porto.
    6. Funashima, Yoshito, 2016. "The Fed-induced political business cycle: Empirical evidence from a time–frequency view," Economic Modelling, Elsevier, vol. 54(C), pages 402-411.
    7. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    8. Yoshito Funashima, 2017. "Wagner’s law versus displacement effect," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 619-634, February.
    9. Funashima, Yoshito, 2015. "Automatic stabilizers in the Japanese tax system," Journal of Asian Economics, Elsevier, vol. 39(C), pages 86-93.
    10. Funashima, Yoshito, 2016. "Governmentally amplified output volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 469-478.
    11. Funashima, Yoshito, 2015. "Wagner's law versus displacement effect," MPRA Paper 68390, University Library of Munich, Germany.

  9. Marczak, Martyna & Beissinger, Thomas, 2010. "Real Wages and the Business Cycle in Germany," IZA Discussion Papers 5199, Institute of Labor Economics (IZA).

    Cited by:

    1. Eva Lajtkepová, 2020. "Distribution of Wages in the Regions of the Czech Republic," ACTA VSFS, University of Finance and Administration, vol. 14(2), pages 123-136.
    2. Marczak, Martyna & Gómez, Víctor, 2012. "SPECTRAN, a set of Matlab programs for Spectral analysis," FZID Discussion Papers 60-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    3. Marczak, Martyna & Beissinger, Thomas, 2015. "Bidirectional relationship between investor sentiment and excess returns: New evidence from the wavelet perspective," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    4. Hiroaki Miyamoto, 2014. "Cyclical behavior of real wages in Japan," Working Papers SDES-2014-16, Kochi University of Technology, School of Economics and Management, revised Nov 2014.
    5. Dima, Bogdan & Dima, Ştefana Maria, 2017. "Energy consumption synchronization between Europe, United States and Japan: A spectral analysis assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1261-1271.
    6. Martyna Marczak & Víctor Gómez, 2017. "Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter," Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.
    7. Marczak, Martyna & Gómez, Víctor, 2012. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," FZID Discussion Papers 50-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    8. Jan Bruha & Jiri Polansky, 2015. "Empirical Analysis of Labor Markets over Business Cycles: An International Comparison," Working Papers 2015/15, Czech National Bank.

Articles

  1. Marczak, Martyna & Proietti, Tommaso & Grassi, Stefano, 2018. "A data-cleaning augmented Kalman filter for robust estimation of state space models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 107-123.
    See citations under working paper version above.
  2. Gregor Pfeifer & Fabian Wahl & Martyna Marczak, 2018. "Illuminating the World Cup effect: Night lights evidence from South Africa," Journal of Regional Science, Wiley Blackwell, vol. 58(5), pages 887-920, November.
    See citations under working paper version above.
  3. Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2017. "Euromind‐ D : A Density Estimate of Monthly Gross Domestic Product for the Euro Area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 683-703, April.
    See citations under working paper version above.
  4. Marczak, Martyna & Proietti, Tommaso, 2016. "Outlier detection in structural time series models: The indicator saturation approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
    See citations under working paper version above.
  5. Martyna Marczak & Thomas Beissinger, 2016. "Bidirectional relationship between investor sentiment and excess returns: new evidence from the wavelet perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 23(18), pages 1305-1311, December.
    See citations under working paper version above.
  6. Marczak, Martyna & Gómez, Víctor, 2015. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," Economic Modelling, Elsevier, vol. 47(C), pages 40-52.
    See citations under working paper version above.
  7. Martyna Marczak & Thomas Beissinger, 2013. "Real wages and the business cycle in Germany," Empirical Economics, Springer, vol. 44(2), pages 469-490, April.
    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 17 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 (9) 2010-10-09 2010-11-13 2012-07-08 2013-03-09 2015-03-13 2015-04-19 2015-04-19 2020-08-24 2020-09-14. Author is listed
  2. NEP-ETS: Econometric Time Series (6) 2013-03-09 2014-08-25 2014-12-19 2015-11-21 2016-02-17 2016-04-09. Author is listed
  3. NEP-FOR: Forecasting (5) 2013-03-09 2015-03-13 2015-04-19 2015-11-21 2016-04-09. Author is listed
  4. NEP-LAB: Labour Economics (5) 2010-10-09 2010-11-13 2012-07-08 2020-08-24 2020-09-14. Author is listed
  5. NEP-ECM: Econometrics (4) 2013-03-09 2014-08-25 2015-03-13 2015-11-21
  6. NEP-EEC: European Economics (4) 2010-11-13 2015-03-13 2015-04-19 2018-05-28
  7. NEP-ORE: Operations Research (4) 2014-08-25 2014-12-19 2015-11-21 2016-04-09
  8. NEP-BEC: Business Economics (3) 2010-10-09 2012-07-08 2013-03-09
  9. NEP-INT: International Trade (2) 2018-05-28 2018-06-11
  10. NEP-DEV: Development (1) 2016-11-13
  11. NEP-HME: Heterodox Microeconomics (1) 2018-06-11
  12. NEP-LMA: Labor Markets - Supply, Demand, & Wages (1) 2018-05-28
  13. NEP-SPO: Sports & Economics (1) 2016-11-13
  14. NEP-TRE: Transport Economics (1) 2016-11-13
  15. NEP-URE: Urban & Real Estate Economics (1) 2016-11-13

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