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Peter Steiner

Personal Details

First Name:Peter
Middle Name:
Last Name:Steiner
Suffix:
RePEc Short-ID:pst376
[This author has chosen not to make the email address public]
http://staff.vwi.unibe.ch/steiner/
Terminal Degree:2003 Department Volkswirtschaftlehre; Universität Bern (from RePEc Genealogy)

Affiliation

Eidgenössisches Finanzverwaltung
Government of Switzerland

Bern, Switzerland
http://www.efv.admin.ch/

: ++41 (0)31 322 60 11
++41 (0)31 322 61 87
Bernerhof, 3003 Bern
RePEc:edi:efvgvch (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Sax, Christoph & Steiner, Peter, 2013. "Temporal Disaggregation of Time Series," MPRA Paper 53389, University Library of Munich, Germany.
  2. Robert Aebi & Klaus Neusser & Peter Steiner, 2005. "A Large Deviation Approach to the Measurement of Mobility," Diskussionsschriften dp0518, Universitaet Bern, Departement Volkswirtschaft.
  3. Robert Aebi & Klaus Neusser & Peter Steiner, 2004. "Equilibrium Mobility," Diskussionsschriften dp0408, Universitaet Bern, Departement Volkswirtschaft.
  4. Robert Aebi & Klaus Neusser & Peter Steiner, 1999. "Evaluating Theories of Income Dynamics: A Probabilistic Approach," Diskussionsschriften dp9905, Universitaet Bern, Departement Volkswirtschaft.
  5. Aebi, Robert & Neusser, Klaus & Steiner, Peter, 1999. "Evaluating Theories of the Income Dynamics: A Probabilistic Approach," Economics Series 61, Institute for Advanced Studies.

Articles

  1. Robert Aebi & Klaus Neusser & Peter Steiner, 2008. "Improving Models of Income Dynamics using Cross-Section-Information," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 117-151, June.
  2. Robert Aebi & Klaus Neusser & Peter Steiner, 2006. "A Large Deviation Approach to the Measurement of Mobility," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(II), pages 195-222, June.

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Author Profile
    1. Pesquisadores parte II
      by Erik Figueiredo in Moral Hazard on 2010-01-23 02:28:00

Working papers

  1. Sax, Christoph & Steiner, Peter, 2013. "Temporal Disaggregation of Time Series," MPRA Paper 53389, University Library of Munich, Germany.

    Cited by:

    1. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Efficiency in Spatially Disaggregated Labour Market Matching," CERGE-EI Working Papers wp575, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    2. Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
    3. Petar Sorić & Ivana Lolić & Mirjana Čižmešija, 2016. "European economic sentiment indicator: an empirical reappraisal," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(5), pages 2025-2054, September.
    4. Matthias Uhl, 2014. "State Fiscal Policies and Regional Economic Activity," MAGKS Papers on Economics 201446, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Khee Giap Tan & Randong Yuan & Sangiita Wei Cher Yoong, 2017. "Assessing Development Strategies of Jiangsu and Taiwan: A Geweke Causality Analysis," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-28, December.
    6. Rendell E. de Kort, 2017. "Forecasting tourism demand through search queries and machine learning," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Big Data, volume 44 Bank for International Settlements.
    7. Edvinsson, Rodney & Hegelund, Erik, 2016. "The business cycle in historical perspective: Reconstructing quarterly data on Swedish GDP 1913-2014," Stockholm Papers in Economic History 18, Stockholm University, Department of Economic History.
    8. Juergen Amann & Paul Middleditch, 2017. "Growth in a time of austerity: evidence from the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(4), pages 349-375, September.
    9. Mariola Pilatowska & Aneta Wlodarczyk & Marcin Zawada, 2014. "The Environmental Kuznets Curve in Poland - Evidence From Threshold Cointegration Analysis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 51-70.

  2. Robert Aebi & Klaus Neusser & Peter Steiner, 2005. "A Large Deviation Approach to the Measurement of Mobility," Diskussionsschriften dp0518, Universitaet Bern, Departement Volkswirtschaft.

    Cited by:

    1. Robert Aebi & Klaus Neusser & Peter Steiner, 2004. "Equilibrium Mobility," Diskussionsschriften dp0408, Universitaet Bern, Departement Volkswirtschaft.
    2. Robert Aebi & Klaus Neusser & Peter Steiner, 2008. "Improving Models of Income Dynamics using Cross-Section-Information," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 117-151, June.
    3. Robert Aebi & Klaus Neusser & Peter Steiner, 2005. "A Large Deviation Approach to the Measurement of Mobility," Diskussionsschriften dp0518, Universitaet Bern, Departement Volkswirtschaft.
    4. Christopher Spencer, 2005. "Consensus Formation in Monetary Policy Committees," School of Economics Discussion Papers 1505, School of Economics, University of Surrey.

  3. Robert Aebi & Klaus Neusser & Peter Steiner, 2004. "Equilibrium Mobility," Diskussionsschriften dp0408, Universitaet Bern, Departement Volkswirtschaft.

    Cited by:

    1. Kai-yuen Tsui, 2009. "Measurement of income mobility: a re-examination," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 33(4), pages 629-645, November.

  4. Robert Aebi & Klaus Neusser & Peter Steiner, 1999. "Evaluating Theories of Income Dynamics: A Probabilistic Approach," Diskussionsschriften dp9905, Universitaet Bern, Departement Volkswirtschaft.

    Cited by:

    1. Robert Aebi & Klaus Neusser & Peter Steiner, 2008. "Improving Models of Income Dynamics using Cross-Section-Information," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 117-151, June.
    2. Erik Figueiredo & Flávio Ziegelmann, 2010. "The dynamics of the Brazilian income," Economics Bulletin, AccessEcon, vol. 30(2), pages 1249-1260.

  5. Aebi, Robert & Neusser, Klaus & Steiner, Peter, 1999. "Evaluating Theories of the Income Dynamics: A Probabilistic Approach," Economics Series 61, Institute for Advanced Studies.

    Cited by:

    1. Erik Figueiredo & Flávio Ziegelmann, 2010. "The dynamics of the Brazilian income," Economics Bulletin, AccessEcon, vol. 30(2), pages 1249-1260.

Articles

  1. Robert Aebi & Klaus Neusser & Peter Steiner, 2008. "Improving Models of Income Dynamics using Cross-Section-Information," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 117-151, June.

    Cited by:

    1. Erik Figueiredo & Flávio Ziegelmann, 2010. "The dynamics of the Brazilian income," Economics Bulletin, AccessEcon, vol. 30(2), pages 1249-1260.

  2. Robert Aebi & Klaus Neusser & Peter Steiner, 2006. "A Large Deviation Approach to the Measurement of Mobility," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(II), pages 195-222, June.
    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 2 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-ECM: Econometrics (1) 2006-03-11

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