IDEAS home Printed from https://ideas.repec.org/f/ppi334.html
   My authors  Follow this author

Inske Pirschel

Personal Details

First Name:Inske
Middle Name:
Last Name:Pirschel
Suffix:
RePEc Short-ID:ppi334
[This author has chosen not to make the email address public]

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. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy (IfW Kiel).
  2. Boysen-Hogrefe, Jens & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Pirschel, Inske & Plödt, Martin & Wolters, Maik H., 2015. "Deutsche Konjunktur im Frühjahr 2015 - Deutschland auf dem Weg in die Hochkonjunktur [German Economy Spring 2015 - German economy on the road to overheating]," Kieler Konjunkturberichte 5, Kiel Institute for the World Economy (IfW Kiel).
  3. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
  4. Steffen Ahrens & Inske Pirschel & Dennis Snower, 2014. "A Theory of Price Adjustment under Loss Aversion," CESifo Working Paper Series 4789, CESifo.
  5. Steffen Ahrens & Inske Pirschel & Dennis Snower, 2014. "A Theory of Wage Adjustment under Loss Aversion," CESifo Working Paper Series 5127, CESifo.
  6. Ahrens, Steffen & Pirschel, Inske & Snower, Dennis J., 2014. "A theory of price adjustment under loss aversion," SFB 649 Discussion Papers 2014-065, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  7. Pirschel, Inske & Wolters, Maik H., 2014. "Forecasting German key macroeconomic variables using large dataset methods," Kiel Working Papers 1925, Kiel Institute for the World Economy (IfW Kiel).

Articles

  1. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
  2. Ahrens, Steffen & Pirschel, Inske & Snower, Dennis J., 2017. "A theory of price adjustment under loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 78-95.

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. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.

  2. Boysen-Hogrefe, Jens & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Pirschel, Inske & Plödt, Martin & Wolters, Maik H., 2015. "Deutsche Konjunktur im Frühjahr 2015 - Deutschland auf dem Weg in die Hochkonjunktur [German Economy Spring 2015 - German economy on the road to overheating]," Kieler Konjunkturberichte 5, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Plödt, Martin & Potjagailo, Galina & Wolters, Maik H., 2015. "Deutsche Konjunktur im Herbst 2015 - Deutschland: Expansion trotzt weltwirtschaftlicher Unruhe [Robust German economy in an uncertain international environment]," Kieler Konjunkturberichte 11, Kiel Institute for the World Economy (IfW Kiel).

  3. Steffen Ahrens & Inske Pirschel & Dennis Snower, 2014. "A Theory of Price Adjustment under Loss Aversion," CESifo Working Paper Series 4789, CESifo.

    Cited by:

    1. David P. Myatt, 2019. "A Theory of Stable Price Dispersion," Economics Series Working Papers 873, University of Oxford, Department of Economics.
    2. Camille Cornand & Frank Heinemann, 2019. "Experiments on macroeconomics: methods and applications," Post-Print halshs-01902045, HAL.
    3. Tramontana, Fabio, 2021. "When a boundedly rational monopolist meets consumers with reference dependent preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 30-45.
    4. Willem H. Boshoff & Johannes Paha, 2021. "List Price Collusion," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 393-409, September.
    5. Yaman, Firat & Offiaeli, Kingsley, 2022. "Is the price elasticity of demand asymmetric? Evidence from public transport demand," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 318-335.
    6. Snower, Dennis & Ahrens, Steffen & Pirschel, Inske, 2014. "A Theory of Wage Adjustment under Loss Aversion," CEPR Discussion Papers 10288, C.E.P.R. Discussion Papers.
    7. Seiler, Volker, 2021. "China-to-FOB price transmission in the rare earth elements market and the end of Chinese export restrictions," Energy Economics, Elsevier, vol. 102(C).
    8. Jorge Vasquez & Marek Weretka, 2020. "Co-worker altruism and unemployment," GRAPE Working Papers 55, GRAPE Group for Research in Applied Economics.
    9. Prasanna, Ashreeta & Mahmoodi, Jasmin & Brosch, Tobias & Patel, Martin K., 2018. "Recent experiences with tariffs for saving electricity in households," Energy Policy, Elsevier, vol. 115(C), pages 514-522.
    10. Ahmad Naimzada & Nicolò Pecora & Fabio Tramontana, 2019. "A cobweb model with elements from prospect theory," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 763-778, April.
    11. Zhaoyu Cao & Xu Zhao & Yucheng Zou & Kairong Hong & Yanwei Zhang, 2021. "Multidimensional Fair Fuzzy Equilibrium Evaluation of Housing Expropriation Compensation from the Perspective of Behavioral Preference: A Case Study from China," Mathematics, MDPI, vol. 9(6), pages 1-22, March.
    12. Paha, Johannes, 2019. "Anchoring, Reference Prices, and List Price Collusion," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203625, Verein für Socialpolitik / German Economic Association.
    13. Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
    14. Bulutay, Muhammed & Hales, David & Julius, Patrick & Tasch, Weiwei, 2021. "Imperfect tacit collusion and asymmetric price transmission," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 584-599.
    15. Wang, Zhihong & Li, Yangyang & Gu, Fu & Guo, Jianfeng & Wu, Xiaojun, 2020. "Two-sided matching and strategic selection on freight resource sharing platforms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    16. Mukhlis MUKHLIS & Raja MASBAR & Sofyan SYAHNUR & M. Shabri Abd. MAJID, 2020. "Dynamic Causalities Between World Oil Price And Indonesia’S Cocoa Market: Evidence From The 2008 Global Financial Crisis And The 2011 European Debt Crisis," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 217-233, June.
    17. Vásquez, Jorge & Weretka, Marek, 2021. "Co-worker altruism and unemployment," Games and Economic Behavior, Elsevier, vol. 130(C), pages 224-239.

  4. Steffen Ahrens & Inske Pirschel & Dennis Snower, 2014. "A Theory of Wage Adjustment under Loss Aversion," CESifo Working Paper Series 5127, CESifo.

    Cited by:

    1. Doerrenberg, Philipp & Duncan, Denvil & Löffler, Max, 2016. "Asymmetric labor-supply responses to wage-rate changes: Evidence from a field experiment," ZEW Discussion Papers 16-006, ZEW - Leibniz Centre for European Economic Research.

  5. Ahrens, Steffen & Pirschel, Inske & Snower, Dennis J., 2014. "A theory of price adjustment under loss aversion," SFB 649 Discussion Papers 2014-065, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. David P. Myatt, 2019. "A Theory of Stable Price Dispersion," Economics Series Working Papers 873, University of Oxford, Department of Economics.
    2. Camille Cornand & Frank Heinemann, 2019. "Experiments on macroeconomics: methods and applications," Post-Print halshs-01902045, HAL.
    3. Tramontana, Fabio, 2021. "When a boundedly rational monopolist meets consumers with reference dependent preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 30-45.
    4. Willem H. Boshoff & Johannes Paha, 2021. "List Price Collusion," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 393-409, September.
    5. Yaman, Firat & Offiaeli, Kingsley, 2022. "Is the price elasticity of demand asymmetric? Evidence from public transport demand," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 318-335.
    6. Snower, Dennis & Ahrens, Steffen & Pirschel, Inske, 2014. "A Theory of Wage Adjustment under Loss Aversion," CEPR Discussion Papers 10288, C.E.P.R. Discussion Papers.
    7. Seiler, Volker, 2021. "China-to-FOB price transmission in the rare earth elements market and the end of Chinese export restrictions," Energy Economics, Elsevier, vol. 102(C).
    8. Jorge Vasquez & Marek Weretka, 2020. "Co-worker altruism and unemployment," GRAPE Working Papers 55, GRAPE Group for Research in Applied Economics.
    9. Prasanna, Ashreeta & Mahmoodi, Jasmin & Brosch, Tobias & Patel, Martin K., 2018. "Recent experiences with tariffs for saving electricity in households," Energy Policy, Elsevier, vol. 115(C), pages 514-522.
    10. Ahmad Naimzada & Nicolò Pecora & Fabio Tramontana, 2019. "A cobweb model with elements from prospect theory," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 763-778, April.
    11. Zhaoyu Cao & Xu Zhao & Yucheng Zou & Kairong Hong & Yanwei Zhang, 2021. "Multidimensional Fair Fuzzy Equilibrium Evaluation of Housing Expropriation Compensation from the Perspective of Behavioral Preference: A Case Study from China," Mathematics, MDPI, vol. 9(6), pages 1-22, March.
    12. Paha, Johannes, 2019. "Anchoring, Reference Prices, and List Price Collusion," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203625, Verein für Socialpolitik / German Economic Association.
    13. Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
    14. Bulutay, Muhammed & Hales, David & Julius, Patrick & Tasch, Weiwei, 2021. "Imperfect tacit collusion and asymmetric price transmission," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 584-599.
    15. Wang, Zhihong & Li, Yangyang & Gu, Fu & Guo, Jianfeng & Wu, Xiaojun, 2020. "Two-sided matching and strategic selection on freight resource sharing platforms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    16. Mukhlis MUKHLIS & Raja MASBAR & Sofyan SYAHNUR & M. Shabri Abd. MAJID, 2020. "Dynamic Causalities Between World Oil Price And Indonesia’S Cocoa Market: Evidence From The 2008 Global Financial Crisis And The 2011 European Debt Crisis," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 217-233, June.
    17. Vásquez, Jorge & Weretka, Marek, 2021. "Co-worker altruism and unemployment," Games and Economic Behavior, Elsevier, vol. 130(C), pages 224-239.

  6. Pirschel, Inske & Wolters, Maik H., 2014. "Forecasting German key macroeconomic variables using large dataset methods," Kiel Working Papers 1925, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
    3. Berg, Tim Oliver, 2015. "Multivariate Forecasting with BVARs and DSGE Models," MPRA Paper 62405, University Library of Munich, Germany.
    4. Karen Poghosyan & Ruben Poghosyan, 2021. "On the Applicability of Dynamic Factor Models for Forecasting Real GDP Growth in Armenia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 71(1), pages 52-79, June.
    5. Evžen Kočenda & Karen Poghosyan, 2020. "Nowcasting Real GDP Growth: Comparison between Old and New EU Countries," Eastern European Economics, Taylor & Francis Journals, vol. 58(3), pages 197-220, May.
    6. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.

Articles

  1. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Faria, Gonçalo & Verona, Fabio, 2023. "Forecast combination in the frequency domain," Bank of Finland Research Discussion Papers 1/2023, Bank of Finland.
    3. Aneta Ejsmont & Magdalena Majchrzak & Jacek Grzywacz, 2021. "Competitive Advantage in Co-operation of Enterprises Using Kaizen Costing Concept in Times of Extraordinary Dangers," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 4), pages 377-396.
    4. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    5. Eraslan, Sercan & Schröder, Maximilian, 2019. "Nowcasting GDP with a large factor model space," Discussion Papers 41/2019, Deutsche Bundesbank.
    6. Konstantin Kuck & Karsten Schweikert, 2021. "Forecasting Baden‐Württemberg's GDP growth: MIDAS regressions versus dynamic mixed‐frequency factor models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 861-882, August.

  2. Ahrens, Steffen & Pirschel, Inske & Snower, Dennis J., 2017. "A theory of price adjustment under loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 78-95.
    See citations under working paper version above.

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 10 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 (10) 2014-02-02 2014-04-29 2014-05-04 2014-06-02 2014-11-22 2015-01-09 2015-01-19 2015-02-22 2016-02-17 2016-03-06. Author is listed
  2. NEP-COM: Industrial Competition (4) 2014-02-02 2014-04-29 2014-05-04 2014-06-02
  3. NEP-MIC: Microeconomics (4) 2014-04-29 2014-05-04 2014-06-02 2014-11-22
  4. NEP-UPT: Utility Models and Prospect Theory (4) 2014-02-02 2014-04-29 2014-11-22 2015-01-09
  5. NEP-FOR: Forecasting (3) 2015-02-22 2016-02-17 2016-03-06
  6. NEP-EEC: European Economics (2) 2016-02-17 2016-03-06
  7. NEP-LAB: Labour Economics (2) 2015-01-09 2015-01-19
  8. NEP-DCM: Discrete Choice Models (1) 2016-02-17
  9. NEP-LTV: Unemployment, Inequality and Poverty (1) 2015-01-19

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Inske Pirschel should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.