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The Continuing Evolution of Official Statistics: Some Challenges and Opportunities

Ireland 43: 27-33. Reich, R. 2015. Saving Capitalism: For the Many, Not the Few. London: Icon Books Ltd. Robertson, D. and B. Breen. 2013. Brick by Brick - How Lego Rewrote the Rules of Innovation. London: Random House. Sachs, J. 2012. The Price of Civilization: Reawakening Virtue and Prosperity After the Economic Fall. London: Vintage, Random House. Science Daily. 2013. “Big Data, for Better or Worse: 90% of World’s Data Generated over Last Two Years.” 22 May 2013. Available at: https

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Evidence-Based Monitoring of International Migration Flows in Europe

and surveillance systems.” International Handbook of Migration and Population Distribution , edited by M. White. International Handbooks of Population 6. Dordrecht: Springer: 205–223. Doi: http://dx.doi.org/10.1007/978-94-017-7282-2_10 . Boswell, C. 2016. Report of the conference “Understanding and tackling the migration challenge: the role of research”, Brussels, 4–5 February 2016. European Commission, CG Research and Innovation. Doi: http://dx.doi.org/10.2777/111442 . Available at: https

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The Implications of Alternative Allocation Criteria in Adaptive Design for Panel Surveys

8. References Al Baghal, T. (ed.). 2014. “Understanding Society Innovation Panel Wave 6: Results from Methodological Experiments.” Understanding Society Working Paper Series 2014-04. Available at: https://www.understandingsociety.ac.uk/research/publications/working-paper/understanding-society/2014-04.pdf (accessed 24 February 2016). Al Baghal, T. (ed.). 2015. “Wave 7: Results from Methodological Experiments.” Understanding Society Working Paper Series 2015-03. Available at: https

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The Use of Official Statistics in Self-Selection Bias Modeling

: 141-151. Doi: http://dx.doi.org/10.1093/biomet/65.1.141. European Commission. 2010. “Innovation Union Scoreboard 2010.” Available at: http://ec.europa.eu/enterprise/policies/innovation/files/ius/ius-2010_en.pdf (accessed February 2014). Farlie, D.J.G. 1960. “The Performance of Some Correlation Coefficients for a General Bivariate Distribution.” Biometrika 47: 307-323. Doi: http://dx.doi.org/10.2307/2333302. Frank, M.J. 1979. “On the Simultaneous Associativity of F(x, y) and x þ y 2 F(x, y).” Aequationes Mathematicae 19

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Discussion

Statistics, Kiev, 12-14 September 2012. Kotter, J. (1995). Leading Change: Why Transformation Efforts Fail. Harvard Business Review, 73, 59-67. Penneck, S. (2009). The Office for National Statistics Statistical Modernisation Programme: What Went Right? What Went Wrong? In Proceedings of Modernisation of Statistics Production, International conference organised by Statistics Sweden, Stockholm 2-4 November 2009. Pink, B., Borowik, J., and Lee, G. (2009). The Case for an International Statistical Innovation Program

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Discussion

: Federal Reserve. Available at: http://www.frbsf.org/cdinvestments/conferences/social-impact-investments/transcript/Park_Panel_1.pdf (Accessed October 2012). Park, T. (2011b). Trends in HIT Innovation. Transcript. Washington, DC: National e-Health Collaborative. Available at: http://www.nationalehealth.org/ckfinder/userfiles/files/Trends%20Transcript.pdf (Accessed October 2012). Prewitt, K. (2012a). Interactive Session at the First Annual CASBS Summit: Where Social Meets Science. Stanford, CA. June 19, 2012. Prewitt, K

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Megatrend and Intervention Impact Analyzer for Jobs: A Visualization Method for Labor Market Intelligence

the Visualization of Graphs . Englewood Cliffs, NJ: Prentice Hall. Bostock, M., V. Ogievetsky, and J. Heer. 2011. “D3: Data-Driven Documents.” IEEE transactions on visualization and computer graphics (Proc. InfoVis) . Available at: http://vis.stanford.edu/papers/d3/ (accessed April 2017). Briscoe, G. and C. Mulligan. 2014. “Digital Innovation”: The Hackathon Phenomenon. Creative works London Working Paper. Queen Mary University of London. Available at: http://qmro.qmul.ac.uk/jspui/handle/123456789/7682 (accessed December 2017). Burt, R.S. 1984

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Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC)

). Turner, C.F., T.K. Smith, L.K. Fitterman, T. Reilly, K. Pate, M.B. Witt, and B.H. Forsyth. 1997. “The Quality of Health Data Obtained in a New Survey of Elderly Americans: A Validation Study of the Proposed Medicare Beneficiary Health Status Registry (mbhsr).” The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 52B: S49–S58. Doi: http://dx.doi.org//10.1093/geronb/52B.1.S49 . Understanding Society. 2016. “Understanding Society: Innovation Panel, Waves 1–7, 2008–2014 [data collection]. 6th edition [Computer software manual]. UK Data

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The Effects of a Between-Wave Incentive Experiment on Contact Update and Production Outcomes in a Panel Study

on Panel Attrition in the Survey of Income and Program Participation. Journal of Official Statistics, 17, 267-284. McGonagle, K.A., Schoeni, R.F., Sastry, N., and Freedman, V.A. (2012). The Panel Study of Income Dynamics: Overview, Recent Innovations, and Potential for Life Course Research. Longitudinal and Life Course Studies, 3, 268-284. McGonagle, K.A., Couper, M.P., and Schoeni, R.F. (2011). Keeping Track of Panel Members: An Experimental Test of a Between-Wave Contact Strategy. Journal of Official Statistics, 27, 319

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JOS Special Issue on Responsive and Adaptive Survey Design: Looking Back to See Forward – Editorial
In Memory of Professor Stephen E. Fienberg, 1942–2016

. Wagner. 2015. “Challenges to Innovation in Face-to-Face Surveys Posed by Interviewer Noncompliance.” Paper presented at the American Association for Public Opinion Research, May 14–17, Hollywood, FA, USA.

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