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Frauke Kreuter

Personal Details

First Name:Frauke
Middle Name:
Last Name:Kreuter
Suffix:
RePEc Short-ID:pkr129
http://www.jpsm.umd.edu

Affiliation

University of Maryland -> Joint Program in Survey Methodology

http://www.jpsm.umd.edu
College Park

Research output

as
Jump to: Working papers Articles Software Books

Working papers

  1. Frauke Kreuter & Carolina Casas-Cordero, 2010. "Paradata," Working Paper Series of the German Council for Social and Economic Data 136, German Council for Social and Economic Data (RatSWD).
  2. Frauke Kreuter, 2009. "Survey Methodology: International Developments," Working Paper Series of the German Council for Social and Economic Data 59, German Council for Social and Economic Data (RatSWD).
  3. Frauke Kreuter & Richard Valliant, 2005. "A Survey on Survey Statistics: What is done, can be done in Stata, and what's missing," German Stata Users' Group Meetings 2005 05, Stata Users Group.

Articles

  1. F. Kreuter & K. Olson & J. Wagner & T. Yan & T. M. Ezzati-Rice & C. Casas-Cordero & M. Lemay & A. Peytchev & R. M. Groves & T. E. Raghunathan, 2010. "Using proxy measures and other correlates of survey outcomes to adjust for non-response: examples from multiple surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 389-407.
  2. Frauke Kreuter & Ting Yan & Roger Tourangeau, 2008. "Good item or bad-can latent class analysis tell?: the utility of latent class analysis for the evaluation of survey questions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 723-738.
  3. Frauke Kreuter & Richard Valliant, 2007. "A survey on survey statistics: What is done and can be done in Stata," Stata Journal, StataCorp LP, vol. 7(1), pages 1-21, February.

Software components

  1. Frauke Kreuter, 2000. "RANVAR: Stata module to compute the random group variance estimator of the mean for survey data," Statistical Software Components S413401, Boston College Department of Economics, revised 06 Apr 2001.

Books

  1. Ulrich Kohler & Frauke Kreuter, 2009. "Data Analysis using Stata, 2nd Edition," Stata Press books, StataCorp LP, number daus2, April.

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. Frauke Kreuter, 2009. "Survey Methodology: International Developments," Working Paper Series of the German Council for Social and Economic Data 59, German Council for Social and Economic Data (RatSWD).

    Cited by:

    1. Max Kaase, 2011. "EMPIRISCHE SOZIALFORSCHUNG IN DEUTSCHLAND. Entwicklungslinien, Errungenschaften und Zukunftsperspektiven," Working Paper Series of the German Council for Social and Economic Data 189, German Council for Social and Economic Data (RatSWD).

  2. Frauke Kreuter & Richard Valliant, 2005. "A Survey on Survey Statistics: What is done, can be done in Stata, and what's missing," German Stata Users' Group Meetings 2005 05, Stata Users Group.

    Cited by:

    1. Prokic-Breuer, Tijana, 2011. "The relative importance of social and cultural capital for educational performance: Eastern versus Western Europe," Discussion Papers, Research Professorship Demographic Development, Social Change, and Social Capital SP I 2011-403, Social Science Research Center Berlin (WZB).

Articles

  1. F. Kreuter & K. Olson & J. Wagner & T. Yan & T. M. Ezzati-Rice & C. Casas-Cordero & M. Lemay & A. Peytchev & R. M. Groves & T. E. Raghunathan, 2010. "Using proxy measures and other correlates of survey outcomes to adjust for non-response: examples from multiple surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 389-407.

    Cited by:

    1. Schnepf, Sylke V. & Durrant, Gabriele B. & Micklewright, John, 2014. "Which Schools and Pupils Respond to Educational Achievement Surveys? A Focus on the English PISA Sample," IZA Discussion Papers 8411, Institute for the Study of Labor (IZA).
    2. Jörg-Peter Schräpler & Jürgen Schupp & Gert G. Wagner, 2010. "Individual and Neighborhood Determinants of Survey Nonresponse: An Analysis Based on a New Subsample of the German Socio-Economic Panel (SOEP), Microgeographic Characteristics and Survey-Based Intervi," SOEPpapers on Multidisciplinary Panel Data Research 288, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Steele, Fiona & Durrant, Gabriele B., 2011. "Alternative approaches to multilevel modelling of survey non-contact and refusal," LSE Research Online Documents on Economics 50113, London School of Economics and Political Science, LSE Library.
    4. Mark Hanly & Paul Clarke & Fiona Steele, 2016. "Sequence analysis of call record data: exploring the role of different cost settings," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 793-808, June.
    5. Shlomo, Natalie & Skinner, Chris J. & Schouten, Barry, 2012. "Estimation of an indicator of the representativeness of survey response," LSE Research Online Documents on Economics 39124, London School of Economics and Political Science, LSE Library.
    6. Brick J. Michael, 2013. "Unit Nonresponse and Weighting Adjustments: A Critical Review," Journal of Official Statistics, De Gruyter Open, vol. 29(3), pages 329-353, June.
    7. Hanly, Mark & Clarke, Paul & Steele, Fiona, 2016. "Sequence analysis of call record data: exploring the role of different cost settings," LSE Research Online Documents on Economics 64896, London School of Economics and Political Science, LSE Library.
    8. Jayaram Uparna & Klaus Weber, 2016. "When Is The Next Bus?: Influence Of Mobility And Infrastructure On Entrepreneurship In Rural India," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-17, June.
    9. Eltinge John L. & Biemer Paul P. & Holmberg Anders, 2013. "A Potential Framework for Integration of Architecture and Methodology to Improve Statistical Production Systems," Journal of Official Statistics, De Gruyter Open, vol. 29(1), pages 125-145, March.

  2. Frauke Kreuter & Ting Yan & Roger Tourangeau, 2008. "Good item or bad-can latent class analysis tell?: the utility of latent class analysis for the evaluation of survey questions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 723-738.

    Cited by:

    1. Chakrabarty, Subhajit & Nag, Biswajit, 2013. "Empirical study to segment firms and capture dynamic business context using LCA," MPRA Paper 51622, University Library of Munich, Germany.
    2. Bruce D. Spencer, 2012. "When Do Latent Class Models Overstate Accuracy for Diagnostic and Other Classifiers in the Absence of a Gold Standard?," Biometrics, The International Biometric Society, vol. 68(2), pages 559-566, June.

  3. Frauke Kreuter & Richard Valliant, 2007. "A survey on survey statistics: What is done and can be done in Stata," Stata Journal, StataCorp LP, vol. 7(1), pages 1-21, February.

    Cited by:

    1. Resende, Marcelo & Strube, Eduardo & Zeidan, Rodrigo, 2014. "Complementarity of innovation policies in Brazilian industry: An econometric study," International Journal of Production Economics, Elsevier, vol. 158(C), pages 9-17.
    2. Uhrig, S.C. Noah, 2008. "The nature and causes of attrition in the British Household Panel Study," ISER Working Paper Series 2008-05, Institute for Social and Economic Research.
    3. Juan Pablo Valenzuela & Gabriela Gómez V. & Carmen Sotomayor, 2012. "The role of reading engagement in a case of national achievement improvement: analysis of Chilean results in PISA 2001-2009," Working Papers wp367, University of Chile, Department of Economics.
    4. Begović, Selena & Adnett, Nick & Pugh, Geoff, 2016. "An investigation into the credibility of currency board arrangements in Bosnia and Herzegovina and Bulgaria," Journal of Comparative Economics, Elsevier, vol. 44(3), pages 787-799.
    5. Florence Neymotin, 2016. "Individuals and Communities: the Importance of Neighbors Volunteering," Journal of Labor Research, Springer, vol. 37(2), pages 149-178, June.
    6. Brandon Vick, 2017. "Measuring links between labor monopsony and the gender pay gap in Brazil," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-28, December.
    7. Brady T. West & Patricia Berglund & Steven G. Heeringa, 2008. "A closer examination of subpopulation analysis of complex-sample survey data," Stata Journal, StataCorp LP, vol. 8(4), pages 520-531, December.
    8. Christopher Tamborini & Howard Iams & Gayle Reznik, 2012. "Women’s Earnings Before and After Marital Dissolution: Evidence from Longitudinal Earnings Records Matched to Survey Data," Journal of Family and Economic Issues, Springer, vol. 33(1), pages 69-82, March.
    9. Gigena, M. & Vera, M.L. & Giuliodori, R . & Gertel, H., 2011. "Exploring the gap difference in 2000-2009 PISA Test Scores between Argentina, Chile and Mexico," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).
    10. Maryam Dilmaghani, 2018. "Sexual Orientation, Labour Earnings, and Household Income in Canada," Journal of Labor Research, Springer, vol. 39(1), pages 41-55, March.
    11. Valenzuela, Juan Pablo & Gómez Vera, Gabriela & Sotomayor, Carmen, 2015. "The role of reading engagement in improving national achievement: An analysis of Chile's 2000–2009 PISA results," International Journal of Educational Development, Elsevier, vol. 40(C), pages 28-39.
    12. Héctor R. Gertel & Roberto F. Giuliodori & Santiago Gastelu & María Luz Vera, 2011. "Beyond Results: What Makes the Difference Between Argentina, Chile and Mexico in PISA 2009?," Investigaciones de Economía de la Educación volume 6,in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 5, pages 88-100 Asociación de Economía de la Educación.

Software components

    Sorry, no citations of software components recorded.

Books

  1. Ulrich Kohler & Frauke Kreuter, 2009. "Data Analysis using Stata, 2nd Edition," Stata Press books, StataCorp LP, number daus2, April.

    Cited by:

    1. Darja Reuschke, 2011. "Self-Employment and Geographical Mobility in Germany," SOEPpapers on Multidisciplinary Panel Data Research 417, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Wassini Arrassen, 2017. "The determinants of MFIs’ social and financial performances in sub-Saharan Africa: has mission drift occurred?," Annals of Finance, Springer, vol. 13(2), pages 205-235, May.
    3. Arrassen, Wassini, 2013. "La microfinance : quelles leçons tirées des expériences des pays en développement ?," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/12692 edited by Avouyi-Dovi, Sanvi.
    4. Mazaheri, Nimah, 2017. "Oil, Dissent, and Distribution," World Development, Elsevier, vol. 99(C), pages 186-202.
    5. Franco Ernesto Rubino & Paolo Tenuta & Domenico Rocco Cambrea, 2017. "Board characteristics effects on performance in family and non-family business: a multi-theoretical approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 21(3), pages 623-658, September.
    6. GOSCHIN Zizi & DANCIU Aniela-Raluca & SERBU Razvan Rares Sorin, 2013. "Understanding The Regional Determinants Of The Fdi In Romania: Evidence From A Panel Data Model," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 65(5), pages 207-222.
    7. L. Philip Schumm, 2013. "Review of Data Analysis Using Stata, Third Edition, by Kohler and Kreuter," Stata Journal, StataCorp LP, vol. 13(1), pages 206-211, March.
    8. Robert John KOLESAR & Martine AUDIBERT, 2017. "Post-neonatal Mortality Impacts Following Grants from the Gavi Vaccine Alliance: An Econometric Analysis from 2000 to 2014," Working Papers 201707, CERDI.
    9. Cui, Xiaoming & Ryan, Chris, 2011. "Perceptions of place, modernity and the impacts of tourism – Differences among rural and urban residents of Ankang, China: A likelihood ratio analysis," Tourism Management, Elsevier, vol. 32(3), pages 604-615.
    10. Haller, Max, 2011. "Die sozialen Klassen im ethnisch heterogenen Milieu: Ein soziologischer Ansatz zur Erklärung der Unterschiede der Einkommensverteilung in den Ländern der Welt," Discussion Papers, Research Unit: Inequality and Social Integration SP I 2011-210, Social Science Research Center Berlin (WZB).
    11. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    12. Djaoudath Alidou, 2011. "Les augmentations de capital réservées aux salariés en France - Employee Equity Issue:Evidence from France," Working Papers CREGO 1110603, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    13. Robert John Kolesar & Martine Audibert, 2017. "Post-neonatal Mortality Impacts Following Grants from the Gavi Vaccine Alliance: An Econometric Analysis from 2000 to 2014," Working Papers halshs-01484982, HAL.
    14. Floreani, Vincent Arthur, 2014. "Fixing Europe's youth unemployment and skills mismatch, can public financial support to SMEs be effective? The case of the European Commission and European Investment Bank joint initiatives," MPRA Paper 55849, University Library of Munich, Germany.

More information

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Statistics

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Co-authorship network on CollEc

Featured entries

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  1. Stata Users Group

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-GEO: Economic Geography (1) 2009-08-16

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