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Inske Pirschel

Personal Details

First Name:Inske
Middle Name:
Last Name:Pirschel
Suffix:
RePEc Short-ID:ppi334

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. Pirschel, Inske & Wolters, Maik, 2014. "Forecasting German key macroeconomic variables using large dataset methods," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100587, Verein für Socialpolitik / German Economic Association.
  5. 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.
  6. Pirschel, Inske & Ahrens, Steffen & Snower, Dennis, 2013. "A Theory of Price Adjustment under Loss Aversion," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79793, Verein für Socialpolitik / German Economic Association.

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. Pirschel, Inske & Wolters, Maik, 2014. "Forecasting German key macroeconomic variables using large dataset methods," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100587, Verein für Socialpolitik / German Economic Association.

    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. Evzen Kocenda & Karen Poghosyan, 2018. "Nowcasting real GDP growth with business tendency surveys data: A cross country analysis," KIER Working Papers 1002, Kyoto University, Institute of Economic Research.
    4. Poghosyan, Karen & Poghosyan, Ruben, 2021. "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 28-46.
    5. 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.
    6. Berg, Tim Oliver, 2015. "Multivariate Forecasting with BVARs and DSGE Models," MPRA Paper 62405, University Library of Munich, Germany.

  4. 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.

    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. Pirschel, Inske & Ahrens, Steffen & Snower, Dennis, 2013. "A Theory of Price Adjustment under Loss Aversion," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79793, Verein für Socialpolitik / German Economic Association.

    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 in macroeconomics: methods and applications," Post-Print halshs-01809937, HAL.
    3. 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.
    4. Jorge Vasquez & Marek Weretka, 2020. "Co-worker altruism and unemployment," GRAPE Working Papers 55, GRAPE Group for Research in Applied Economics.
    5. 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.
    6. 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.
    7. 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.
    8. Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
    9. Vásquez, Jorge & Weretka, Marek, 2021. "Co-worker altruism and unemployment," Games and Economic Behavior, Elsevier, vol. 130(C), pages 224-239.
    10. 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.
    11. Willem H. Boshoff & Johannes Paha, 2021. "List Price Collusion," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 393-409, September.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. 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).
    17. 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.

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. 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.
    4. 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.
    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 (5) 2014-02-02 2014-04-29 2014-05-04 2014-06-02 2014-11-22. Author is listed
  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

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