IDEAS home Printed from https://ideas.repec.org/f/pst376.html
   My authors  Follow this author

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]
Terminal Degree:2003 Department Volkswirtschaftlehre; Universität Bern (from RePEc Genealogy)

Affiliation

Eidgenössisches Finanzverwaltung
Government of Switzerland

Bern, Switzerland
http://www.efv.admin.ch/
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, 2004. "Equilibrium Mobility," Diskussionsschriften dp0408, Universitaet Bern, Departement Volkswirtschaft.
  3. Robert Aebi & Klaus Neusser & Peter Steiner, 2002. "A Large Deviation Approach to the Measurement of Mobility," Diskussionsschriften dp0220, Universitaet Bern, Departement Volkswirtschaft.
  4. 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. 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. Kufenko, Vadim & Khaustova, Ekaterina & Geloso, Vincent, 2022. "Escape underway: Malthusian pressures in late imperial Moscow," Explorations in Economic History, Elsevier, vol. 85(C).
    4. Tavares Garcia, Francisco & Cross, Jamie L., 2024. "The impact of monetary policy on income inequality: Does inflation targeting matter?," Finance Research Letters, Elsevier, vol. 61(C).
    5. Layna Mosley & Victoria Paniagua & Erik Wibbels, 2020. "Moving markets? Government bond investors and microeconomic policy changes," Economics and Politics, Wiley Blackwell, vol. 32(2), pages 197-249, July.
    6. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
    7. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    8. Michael Zhemkov, 2022. "Assessment of Monthly GDP Growth Using Temporal Disaggregation Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 81(2), pages 79-104, June.
    9. Vera Z. Eichenauer & Ronald Indergand & Isabel Z. Martínez & Christoph Sax, 2022. "Obtaining consistent time series from Google Trends," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 694-705, April.
    10. Vladimir Boyko & Nadezhda Kislyak & Mikhail Nikitin & Oleg Oborin, 2020. "Methods for Estimating the Gross Regional Product Leading Indicator," Russian Journal of Money and Finance, Bank of Russia, vol. 79(3), pages 3-29, September.
    11. David I. Okorie, 2021. "A network analysis of electricity demand and the cryptocurrency markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3093-3108, April.
    12. David Iselin & Andreas Dibiasi, 2019. "Measuring Knightian Uncertainty," KOF Working papers 19-456, KOF Swiss Economic Institute, ETH Zurich.
    13. Micheli, Martin, 2020. "It is real: On the relation between minimum wages and labor market outcomes for teenagers," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224597, Verein für Socialpolitik / German Economic Association.
    14. Rocío Gondo & Marco Vega, 2017. "The dynamics of investment projects: evidence from Peru," BIS Working Papers 621, Bank for International Settlements.
    15. Carlos David Ardila-Dueñas & Hernán Rincón-Castro, 2019. "¿Cómo y qué tanto impacta la deuda pública a las tasas de interés de mercado?," Borradores de Economia 1077, Banco de la Republica de Colombia.
    16. 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.
    17. Enrique M. Quilis, 2018. "Temporal disaggregation of economic time series: The view from the trenches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 447-470, November.
    18. 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.
    19. Luke Mosley & Idris A. Eckley & Alex Gibberd, 2022. "Sparse temporal disaggregation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2203-2233, October.
    20. Krzysztof Drachal, 2019. "Analysis of Agricultural Commodities Prices with New Bayesian Model Combination Schemes," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
    21. Groiss, Martin, 2024. "Equalizing Monetary Policy - the Earnings Heterogeneity Channel in Action," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302346, Verein für Socialpolitik / German Economic Association.
    22. Fiorelli, Cristiana & Meliciani, Valentina, 2019. "Economic growth in the era of unconventional monetary instruments: A FAVAR approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
    23. 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.
    24. Eslahi, Mohammadehsan & Mazza, Paolo, 2023. "Can weather variables and electricity demand predict carbon emissions allowances prices? Evidence from the first three phases of the EU ETS," Ecological Economics, Elsevier, vol. 214(C).
    25. 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).
    26. 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.
    27. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    28. De Moor, Lieven & Luitel, Prabesh & Sercu, Piet & Vanpée, Rosanne, 2018. "Subjectivity in sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 366-392.
    29. Tihana Skrinjaric, 2022. "Macroeconomic effects of systemic stress: a rolling spillover index approach," Public Sector Economics, Institute of Public Finance, vol. 46(1), pages 109-140.
    30. Naveed, Kashif & Watanabe, Chihiro & Neittaanmäki, Pekka, 2017. "Co-evolution between streaming and live music leads a way to the sustainable growth of music industry – Lessons from the US experiences," Technology in Society, Elsevier, vol. 50(C), pages 1-19.
    31. Petar Sorić & Ivana Lolić & Mirjana Čižmešija, 2015. "European economic sentiment indicator: An empirical reappraisal," EFZG Working Papers Series 1505, Faculty of Economics and Business, University of Zagreb.
    32. Sergio González & Edwin Hernández, 2016. "Indirect impacts of oil prices on economic growth in Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 84, pages 103-141, Enero - J.
    33. Mangani, Andrea, 2021. "When does print media address deforestation? A quantitative analysis of major newspapers from US, UK, and Australia," Forest Policy and Economics, Elsevier, vol. 130(C).
    34. 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.
    35. João Braz Pinto & João Sousa Andrade, 2015. "A Monetary Analysis of the Liquidity Trap," GEMF Working Papers 2015-06, GEMF, Faculty of Economics, University of Coimbra.
    36. Víctor M. Guerrero & Francisco Corona, 2018. "Retropolating some relevant series of Mexico's System of National Accounts at constant prices: The case of Mexico City's GDP," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 495-519, November.
    37. 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.
    38. Atin Aboutorabi & Ga'etan de Rassenfosse, 2024. "Nowcasting R&D Expenditures: A Machine Learning Approach," Papers 2407.11765, arXiv.org.
    39. Luke Mosley & Idris Eckley & Alex Gibberd, 2021. "Sparse Temporal Disaggregation," Papers 2108.05783, arXiv.org, revised Oct 2022.
    40. Elżbieta Antczak & Ewa Gałecka‐Burdziak & Robert Pater, 2019. "What Affects Efficiency In Labour Market Matching At Different Territorial Aggregation Levels In Poland?," Bulletin of Economic Research, Wiley Blackwell, vol. 71(2), pages 160-179, April.
    41. Soumya Basu & Keiichi Ishihara & Takaya Ogawa & Hideyuki Okumura, 2024. "Structural Effects of Economic Shocks on the Macroeconomic Economy–Electricity–Emissions Nexus in India via Long-Term Cointegration Approach," Energies, MDPI, vol. 17(17), pages 1-42, August.
    42. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
    43. Bu Hyoung Lee, 2022. "Bootstrap Prediction Intervals of Temporal Disaggregation," Stats, MDPI, vol. 5(1), pages 1-13, February.

  2. 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.

  3. Robert Aebi & Klaus Neusser & Peter Steiner, 2002. "A Large Deviation Approach to the Measurement of Mobility," Diskussionsschriften dp0220, 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.

  4. 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. 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.

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

Rankings

This author is among the top 5% authors according to these criteria:
  1. Record of graduates

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 1 paper 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

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, Peter Steiner 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.