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Olena Kaminska

Personal Details

First Name:Olena
Middle Name:
Last Name:Kaminska
Suffix:
RePEc Short-ID:pka543

Affiliation

Institute for Social and Economic Research (ISER)
University of Essex

Colchester, United Kingdom
https://www.iser.essex.ac.uk/
RePEc:edi:isessuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Lynn, Peter & Kaminska, Olena, 2016. "Survey-based cross-country comparisons where countries vary in sample design: issues and solutions," ISER Working Paper Series 2016-09, Institute for Social and Economic Research.
  2. Kaminska, Olena & Foulsham, Tom, 2013. "Understanding sources of social desirability bias in different modes: evidence from eye-tracking," ISER Working Paper Series 2013-04, Institute for Social and Economic Research.
  3. Kaminska, Olena & Foulsham, Tom, 2013. "Real-world Eye-tracking in Face-to-face, Web and SAQ Modes," ISER Working Paper Series 2013-07, Institute for Social and Economic Research.
  4. Kaminska, Olena & Iacovou, Maria & Levy, Horacio, 2012. "Using EU-SILC data for cross-national analysis: strengths, problems and recommendations," ISER Working Paper Series 2012-03, Institute for Social and Economic Research.
  5. Lynn, Peter & Kaminska, Olena, 2011. "The impact of mobile phones on survey measurement error," ISER Working Paper Series 2011-07, Institute for Social and Economic Research.
  6. Lynn, Peter & Kaminska, Olena & Goldstein, Harvey, 2011. "Panel attrition: how important is it to keep the same interviewer?," ISER Working Paper Series 2011-02, Institute for Social and Economic Research.
    repec:ese:ukhlsp:2014-04 is not listed on IDEAS
    repec:ese:ukhlsp:2012-06 is not listed on IDEAS
    repec:ese:ukhlsp:2012-02 is not listed on IDEAS
    repec:ese:ukhlsp:2013-06 is not listed on IDEAS
    repec:ese:ukhlsp:2010-05 is not listed on IDEAS
    repec:ese:ukhlsp:2016-02 is not listed on IDEAS
    repec:ese:ukhlsp:2015-03 is not listed on IDEAS
    repec:ese:ukhlsp:2017-02 is not listed on IDEAS

Articles

  1. Kaminska Olena & Lynn Peter, 2017. "The Implications of Alternative Allocation Criteria in Adaptive Design for Panel Surveys," Journal of Official Statistics, Sciendo, vol. 33(3), pages 781-799, September.
  2. Kaminska Olena & Lynn Peter, 2017. "Survey-Based Cross-Country Comparisons Where Countries Vary in Sample Design: Issues and Solutions," Journal of Official Statistics, Sciendo, vol. 33(1), pages 123-136, March.
  3. Lynn Peter & Kaminska Olena & Goldstein Harvey, 2014. "Panel Attrition: How Important is Interviewer Continuity?," Journal of Official Statistics, Sciendo, vol. 30(3), pages 443-457, September.
  4. Kaminska Olena, 2013. "Discussion," Journal of Official Statistics, Sciendo, vol. 29(3), pages 355-358, 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.

Working papers

  1. Lynn, Peter & Kaminska, Olena, 2016. "Survey-based cross-country comparisons where countries vary in sample design: issues and solutions," ISER Working Paper Series 2016-09, Institute for Social and Economic Research.

    Cited by:

    1. Abdul Waheed & Qingyu Zhang, 2022. "Effect of CSR and Ethical Practices on Sustainable Competitive Performance: A Case of Emerging Markets from Stakeholder Theory Perspective," Journal of Business Ethics, Springer, vol. 175(4), pages 837-855, February.
    2. Peter Lynn & Lucinda Platt & Alita Nandi & Violetta Parutis, 2018. "Design and implementation of a high-quality probability sample of immigrants and ethnic minorities: Lessons learnt," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(21), pages 513-548.
    3. Ortmanns Verena, 2020. "Explaining Inconsistencies in the Education Distributions of Ten Cross-National Surveys – the Role of Methodological Survey Characteristics," Journal of Official Statistics, Sciendo, vol. 36(2), pages 379-409, June.
    4. Stavros Poupakis & Francesco Salustri, 2024. "Asynchronous fieldwork in cross-country surveys: an application to physical activity," Empirical Economics, Springer, vol. 67(3), pages 1303-1318, September.
    5. Ortmanns Verena, 2020. "Explaining Inconsistencies in the Education Distributions of Ten Cross-National Surveys – the Role of Methodological Survey Characteristics," Journal of Official Statistics, Sciendo, vol. 36(2), pages 379-409, June.
    6. Levi, Sebastian & Goldberg, Matthew H., 2021. "Democracy influences climate change concern," SocArXiv 6vk9d, Center for Open Science.
    7. Dolapo Adeyanju & John Mburu & Wainaina Gituro & Chepchumba Chumo & Djana Mignouna & Adebayo Ogunniyi & John Kehinde Akomolafe & Joseph Ejima, 2023. "Assessing food security among young farmers in Africa: evidence from Kenya, Nigeria, and Uganda," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-20, December.
    8. Christopher S. Walter & Marie-Rachelle Narcisse & Jennifer L. Vincenzo & Pearl A. McElfish & Holly C. Felix, 2021. "Description of Variation in Age of Onset of Functional Limitations of Native Hawaiian and Pacific Islanders Compared to Other Racial and Ethnic Groups," IJERPH, MDPI, vol. 18(5), pages 1-8, March.
    9. Álvaro Fuentes-Merlos & Domingo Orozco-Beltrán & Jose A. Quesada Rico & Raul Reina, 2021. "Quality-of-Life Determinants in People with Diabetes Mellitus in Europe," IJERPH, MDPI, vol. 18(13), pages 1-11, June.
    10. Emma Samman & Lauren Pandolfelli & Claudia Cappa, 2025. "Exploring the Relationship Between Disability and Children’s Household Chores in Selected Low- and Middle-Income Countries," Disabilities, MDPI, vol. 5(1), pages 1-16, February.

  2. Kaminska, Olena & Foulsham, Tom, 2013. "Understanding sources of social desirability bias in different modes: evidence from eye-tracking," ISER Working Paper Series 2013-04, Institute for Social and Economic Research.

    Cited by:

    1. Shahidul Islam, 2021. "Impact Of Lottery Incentive On Response Rate And Data Quality: Evidence From Organic Food Consumption Survey Of Conventional Shoppers," Cultural Communication and Socialization Journal (CCSJ), Zibeline International Publishing, vol. 2(2), pages 68-74, November.
    2. Joachim Büschken & Ulf Böckenholt & Thomas Otter & Daniel Stengel, 2022. "Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 620-665, June.
    3. Robert Neumann, 2016. "Understanding trustworthiness: using response latencies from CATI surveys to learn about the “crucial” variable in trust research," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 43-64, January.

  3. Kaminska, Olena & Iacovou, Maria & Levy, Horacio, 2012. "Using EU-SILC data for cross-national analysis: strengths, problems and recommendations," ISER Working Paper Series 2012-03, Institute for Social and Economic Research.

    Cited by:

    1. Martin Klesment & Allan Puur & Luule Sakkeus & Leen Rahnu, 2014. "Varying association between education and second births in Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(27), pages 813-860.
    2. Elena Bárcena-Martín & M. Carmen Blanco-Arana & Salvador Pérez-Moreno, 2017. "Dynamics of child poverty in the European countries," Working Papers 437, ECINEQ, Society for the Study of Economic Inequality.
    3. Maria Iacovou, 2013. "The relationship between incomes and living arrangements: variation between countries, over the life course, and over time," ImPRovE Working Papers 13/15, Herman Deleeck Centre for Social Policy, University of Antwerp.
    4. Lidia CERIANI & Carlo V. FIORIO & Chiara GHIGLIARANO, 2013. "The importance of choosing the data set for tax-benefit analysis," Departmental Working Papers 2013-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    5. Ronald Bachmann & Peggy Bechara & Sandra Schaffner, 2016. "Wage Inequality and Wage Mobility in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(1), pages 181-197, March.
    6. Anna Garriga & Sebastià Sarasa & Paolo Berta, 2015. "Mother’s educational level and single motherhood: Comparing Spain and Italy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(42), pages 1165-1210.
    7. Nicolas Frémeaux & Arnaud Lefranc, 2019. "Assortative mating and earnings inequality in France ," Post-Print hal-02528238, HAL.
    8. Natalie Nitsche & Anna Matysiak & Jan Bavel & Daniele Vignoli, 2018. "Partners’ Educational Pairings and Fertility Across Europe," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1195-1232, August.
    9. Bönke, Timm & Schröder, Carsten, 2015. "European-wide inequality in times of the financial crisis," Discussion Papers 2015/14, Free University Berlin, School of Business & Economics.
    10. Niklas Jakobsson & Andreas Kotsadam, 2016. "Does marriage affect men’s labor market outcomes? A European perspective," Review of Economics of the Household, Springer, vol. 14(2), pages 373-389, June.
    11. Tim Goedemé & Diego Collado & Leen Meeusen, 2014. "Mountains on the move: recent trends in national and EU-wide income dynamics in old and new EU Member States," ImPRovE Working Papers 14/05, Herman Deleeck Centre for Social Policy, University of Antwerp.
    12. John Moffat & Duncan Roth, 2016. "The Cohort Size-Wage Relationship in Europe," LABOUR, CEIS, vol. 30(4), pages 415-432, December.
    13. Berger, Melissa & Schaffner, Sandra, 2015. "A note on how to realize the full potential of the EU-SILC data," ZEW Discussion Papers 15-005, ZEW - Leibniz Centre for European Economic Research.
    14. Engel, Melissa & Schaffner, Sandra, 2012. "How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages," Ruhr Economic Papers 390, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Michael S Rendall & Angela Greulich, 2016. "Multiple imputation for demographic hazard models with left-censored predictor variables: Application to employment duration and fertility in the EU-SILC," Post-Print hal-01396298, HAL.
    16. Salvatore Morelli & Timothy Smeeding & Jeffrey Thompson, 2014. "Post-1970 Trends in Within-Country Inequality and Poverty: Rich and Middle Income Countries," CSEF Working Papers 356, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    17. Vassilis Tselios, 2014. "The Granger-causality between income and educational inequality: a spatial cross-regressive VAR framework," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 221-243, August.
    18. David Castells-Quintana & Raul Ramos & Vicente Royuela, 2015. "Income inequality in European Regions: Recent trends and determinants," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 35(2), pages 123-146, October.
    19. Sabine Israel, 2016. "More than Cash: Societal Influences on the Risk of Material Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 619-637, November.
    20. Brian Colgan, 2023. "EU-SILC and the potential for synthetic panel estimates," Empirical Economics, Springer, vol. 64(3), pages 1247-1280, March.
    21. Leonardo Gasparini & Leopoldo Tornarolli, 2015. "A review of the OECD Income Distribution Database," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(4), pages 579-602, December.
    22. Karolina Goraus & Joanna Tyrowicz & Lucas van der Velde, 2020. "How rankings disguise gender inequality: a comparative analysis of cross-country gender equality rankings based on adjusted wage gaps," GRAPE Working Papers 46, GRAPE Group for Research in Applied Economics.
    23. Michael S. Rendall & Angela Greulich, 2016. "Multiple imputation for demographic hazard models with left-censored predictor variables: Application to employment duration and fertility in the EU-SILC," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(38), pages 1135-1148.
    24. Iryna Kyzyma, 2020. "How Poor Are the Poor? Looking beyond the Binary Measure of Income Poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 525-549, December.
    25. Branko Bošković & Harriet Churchill & Oriola Hamzallari, 2021. "Family Policy and Child Well-Being: The Case of Montenegro in the European Perspective," IJERPH, MDPI, vol. 18(17), pages 1-13, August.
    26. Tim Goedemé & Lorena Zardo Trindade & Frank Vandenbroucke, 2017. "A Pan-European Perspective on Low-Income Dynamics in the EU," Working Papers 1703, Herman Deleeck Centre for Social Policy, University of Antwerp.
    27. Karolina GORAUS‐TAŃSKA & Piotr LEWANDOWSKI, 2019. "Minimum wage violation in central and eastern Europe," International Labour Review, International Labour Organization, vol. 158(2), pages 297-336, June.
    28. Sophie Ponthieux, 2014. "L’inégalité des revenus d’activité et les niveaux de vie des femmes et des hommes - Une comparaison entre cinq pays de l’Union européenne," Économie et Statistique, Programme National Persée, vol. 469(1), pages 85-119.
    29. Bortoletto, Gianluca, 2022. "The link between migratory background and crime perceptions. A repeated cross-sectional analysis with household data," MPRA Paper 112488, University Library of Munich, Germany.
    30. Angela Greulich & Michael Rendall, 2014. "Multiple imputation for demographic hazard models with left-censored predictor variables," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01298942, HAL.
    31. Lidia Ceriani & Carlo V. Fiorio & Chiara Gigliarano, 2013. "The importance of choosing the data set for tax-benefit analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 86-121.
    32. Angela Greulich & Aurélien Dasré, 2017. "The quality of periodic fertility measures in EU-SILC," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(17), pages 525-556.
    33. Barra Roantree & Jonathan Shaw, 2018. "What a difference a day makes: inequality and the tax and benefit system from a long-run perspective," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(1), pages 23-40, March.
    34. Rafael Carranza, 2023. "Upper and Lower Bound Estimates of Inequality of Opportunity: A Cross‐National Comparison for Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 838-860, December.
    35. Angela Greulich & Michael Rendall, 2014. "Multiple imputation for demographic hazard models with left-censored predictor variables," Working Papers hal-01298942, HAL.
    36. Elass, Kenza, 2024. "Male and female selection effects on gender wage gaps in three countries," Labour Economics, Elsevier, vol. 87(C).
    37. Pelek, Selin & Polat, Sezgin, 2019. "Exploring inter-household transfers:An assessment using panel data from Turkey," GIAM Working Papers 00-0, Galatasaray University Economic Research Center.
    38. Goedemé, Tim & Decerf, Benoit & Van den Bosch, Karel, 2020. "A new poverty indicator for Europe: the extended headcount ratio," INET Oxford Working Papers 2020-26, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    39. Westhoff, Leonie & Bukodi, Erzsébet & H. Goldthorpe, John, 2021. "Social Class and Earnings Trajectories in 14 European Countries," INET Oxford Working Papers 2021-17, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    40. Kristina Krell & Joachim R. Frick & Markus M. Grabka, 2017. "Measuring the Consistency of Cross-Sectional and Longitudinal Income Information in EU-SILC," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 30-52, March.
    41. Angela Greulich & Aurélien Dasre, 2017. "The quality of periodic fertility measures in EU-SILC," Post-Print hal-01726581, HAL.
    42. Adeline Otto, 2018. "A Benefit Recipiency Approach to Analysing Differences and Similarities in European Welfare Provision," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 765-788, June.
    43. Fidel Picos & Marie-Luise Schmitz, 2016. "In-depth analysis of tax reforms using the EUROMOD microsimulation model," JRC Working Papers on Taxation & Structural Reforms 2016-06, Joint Research Centre.
    44. Angela Greulich & Aurélien Dasre, 2017. "The quality of periodic fertility measures in EU-SILC," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01726581, HAL.

  4. Lynn, Peter & Kaminska, Olena, 2011. "The impact of mobile phones on survey measurement error," ISER Working Paper Series 2011-07, Institute for Social and Economic Research.

    Cited by:

    1. Croke,Kevin & Dabalen, Andrew & Demombynes, Gabriel & Giugale, Marcelo & Hoogeveen, Johannes, 2013. "Collecting High-Frequency Data Using Mobile Phones: Do Timely Data Lead to Accountability?," World Bank - Economic Premise, The World Bank, issue 102, pages 1-5, January.
    2. Cernat, Alexandru, 2013. "The impact of mixing modes on reliability in longitudinal studies," ISER Working Paper Series 2013-09, Institute for Social and Economic Research.
    3. Rein Ahas & Harvey J. Miller & Frank Witlox, 2014. "From the Guest Editors: Mobility, Communication, and Urban Space," Journal of Urban Technology, Taylor & Francis Journals, vol. 21(2), pages 1-7, April.
    4. Lynn, Peter & Jäckle, Annette & Hope, Steven & C. Campanelli, Pamela & Nicolaas, Gerry, 2012. "Effects of visual and aural communication of categorical response options on answers to survey questions," ISER Working Paper Series 2012-21, Institute for Social and Economic Research.
    5. Kevin Croke & Andrew Dabalen & Gabriel Demombynes & Marcelo Giugale & Johannes Hoogeveen, 2013. "Collecting High-Frequency Data Using Mobile Phones : Do Timely Data Lead to Accountability?," World Bank Publications - Reports 17046, The World Bank Group.
    6. Croke, Kevin & Dabalen, Andrew & Demombynes, Gabriel & Giugale, Marcelo & Hoogeveen, Johannes, 2012. "Collecting high frequency panel data in Africa using mobile phone interviews," Policy Research Working Paper Series 6097, The World Bank.

  5. Lynn, Peter & Kaminska, Olena & Goldstein, Harvey, 2011. "Panel attrition: how important is it to keep the same interviewer?," ISER Working Paper Series 2011-02, Institute for Social and Economic Research.

    Cited by:

    1. Dolan, Melissa & Biemer, Paul & Ringeisen, Heather & Testa, Mark & Keeney, Jennifer & Casanueva, Cecilia & Smith, Keith & Day, Orin, 2023. "The third national survey of child and adolescent well-being: Design overview and methodological lessons learned during the baseline wave," Children and Youth Services Review, Elsevier, vol. 155(C).
    2. Carine Burricand & Jean-Paul Lorgnet, 2014. "L’attrition dans l’enquête SRCV : déterminants et effets sur la mesure des variables monétaires," Économie et Statistique, Programme National Persée, vol. 469(1), pages 19-35.
    3. Sadig, Husam, 2014. "Weighting for non-monotonic response pattern in longitudinal surveys," ISER Working Paper Series 2014-34, Institute for Social and Economic Research.
    4. Nicole Watson & Mark Wooden, 2011. "Re-engaging with Survey Non-respondents: The BHPS, SOEP and HILDA Survey Experience," SOEPpapers on Multidisciplinary Panel Data Research 379, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Francisco Perales & Bernard Baffour & Francis Mitrou, 2015. "Ethnic Differences in the Quality of the Interview Process and Implications for Survey Analysis: The Case of Indigenous Australians," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-20, June.

Articles

  1. Kaminska Olena & Lynn Peter, 2017. "The Implications of Alternative Allocation Criteria in Adaptive Design for Panel Surveys," Journal of Official Statistics, Sciendo, vol. 33(3), pages 781-799, September.

    Cited by:

    1. Carina Cornesse & Ulrich Krieger & Marie‐Lou Sohnius & Marina Fikel & Sabine Friedel & Tobias Rettig & Alexander Wenz & Sebastian Juhl & Roni Lehrer & Katja Möhring & Elias Naumann & Maximiliane Reife, 2022. "From German Internet Panel to Mannheim Corona Study: Adaptable probability‐based online panel infrastructures during the pandemic," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 773-797, July.
    2. Peter Lynn & Pablo Cabrera‐Álvarez & Paul Clarke, 2023. "Sample composition and representativeness on Understanding Society," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 341-359, December.
    3. Chun Asaph Young & Heeringa Steven G. & Schouten Barry, 2018. "Responsive and Adaptive Design for Survey Optimization," Journal of Official Statistics, Sciendo, vol. 34(3), pages 581-597, September.

  2. Kaminska Olena & Lynn Peter, 2017. "Survey-Based Cross-Country Comparisons Where Countries Vary in Sample Design: Issues and Solutions," Journal of Official Statistics, Sciendo, vol. 33(1), pages 123-136, March.
    See citations under working paper version above.
  3. Lynn Peter & Kaminska Olena & Goldstein Harvey, 2014. "Panel Attrition: How Important is Interviewer Continuity?," Journal of Official Statistics, Sciendo, vol. 30(3), pages 443-457, September.

    Cited by:

    1. Adrian Chadi, 2014. "Dissatisfied with Life or with Being Interviewed? Happiness and Motivation to Participate in a Survey," IAAEU Discussion Papers 201403, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    2. Peter Lynn & Pablo Cabrera‐Álvarez & Paul Clarke, 2023. "Sample composition and representativeness on Understanding Society," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 341-359, December.
    3. Plewis Ian & Shlomo Natalie, 2017. "Using Response Propensity Models to Improve the Quality of Response Data in Longitudinal Studies," Journal of Official Statistics, Sciendo, vol. 33(3), pages 753-779, September.
    4. Sadig, Husam, 2014. "Weighting for non-monotonic response pattern in longitudinal surveys," ISER Working Paper Series 2014-34, Institute for Social and Economic Research.
    5. Tiffany S. Neman, 2023. "When and Why Does Nonresponse Occur? Comparing the Determinants of Initial Unit Nonresponse and Panel Attrition," Working Papers 23-44, Center for Economic Studies, U.S. Census Bureau.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 7 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-INO: Innovation (5) 2012-10-13 2013-11-16 2014-09-29 2015-06-20 2016-07-23. Author is listed
  2. NEP-EUR: Microeconomic European Issues (2) 2012-02-27 2014-09-29
  3. NEP-EXP: Experimental Economics (1) 2011-01-30
  4. NEP-GER: German Papers (1) 2014-09-29

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