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Dependent interviewing: impact on recall and on labour market transitions Statistics Canada SLID Research Paper Series, Catalogue No 95 06 Hill, D (1987) Response errors around the seam: analysis of change in a panel with overlapping reference periods In Proceedings of the Section on Survey Research Methods (pp 210 215) Washington, DC: American Statistical Association Hill, D (1994) The relative empirical validity of dependent and independent data collection in a panel survey Journal of Official Statistics, 10, 359 380 Holmberg, A (2004) Pre printing effects in official statistics: an experimental study Journal of Official Statistics, 20, 341 355 Hoogendoorn, A (2004) A questionnaire design for dependent interviewing that addresses the problem of cognitive satisficing Journal of Official Statistics, 20, 219 232 Jabine, T, King, K and Petroni, R (1990) Survey of Income and Program Participation Quality Profile Washington, DC: US Census Bureau Jackle, A and Lynn, P (2007).

Dependent interviewing and seam effects in work history data Journal of Official Statistics, 23, 529 551 Kalton, G (1998) SIPP quality profile 1998 SIPP Working Paper No 230 Washington, DC: US Census Bureau Kalton, G and Miller, M (1991) The seam effect with social security income in the Survey of Income and Program Participation, Journal of Official Statistics, 7, 235 245 LeMa tre, G (1992) Dealing with the seam problem for the Survey of Labour and Income Dynamics Statistics Canada SLID Research Paper Series, Catalogue No 92 05 Lynn, P, Jackle, A, Jenkins, S and Sala, E (2006) The effects of dependent interviewing on responses to questions on income sources Journal of Official Statistics, 22, 357 384 Lynn, P and Sala, E (2006) Measuring change in employment characteristics: the effects of dependent interviewing International Journal of Public Opinion Research, 18, 500 509 Marquis, K and Moore, J (1990).

Formula 9.3 (Industry-Level Portfolio Attribution) ILAI = (IPAi1 ... IPAin) where ILAI = Attribution for a particular industry within a portfolio. IPAi1 = Individual position attribution for stock 1 in a particular industry. IPAin = Individual position attribution for stock n in a particular industry, where the nth stock is the nal portfolio stock in that industry. By digging deeper into the portfolio, we can gain a better understanding of what is really driving portfolio returns. Sector-level attribution analysis is very useful, but when combined with industry-level analysis, it is even more powerful. Exhibit 9.6 takes the attribution analysis of CAM s portfolio to a new level by combining sector, industry, and position attribution analysis in a single report. To keep the example simple, I have selected the sector that contributed the most to CAM s total portfolio return, which according to the sector-level analysis (Exhibit 9.2) was the health care sector. Just keep in mind that Exhibit 9.6 is a small component of the full analytical report, which includes all sectors, industries, and positions. When we drill down from the top to the bottom (from sector to industry to individual holdings), we can put all of the pieces of the puzzle together. The largest contributor to the health care sector was the services industry. When we dig into the services industry, we see that the entire return was due to two stocks, National Med and Pediatrix. When we speak to the portfolio manager and analysts during the on-site meeting, we can elect to focus on these names or to review why the other stocks were relatively at. When analyzing a portfolio manager, it is important to understand the impetus behind their successful choices, as well as an analysis of the other, less successful holdings.

Measurement errors in the Survey of Income and Program Participation Proceedings of the US Census Bureau s Annual Research Conference, pp 721 745 Martini, A (1989) Seam effect, recall bias, and the estimation of labor force transition rates from SIPP Proceedings of the American Statistical Association, Section on Survey Research Methods, pp 387 392 Mathiowetz, N and McGonagle, K (2000) An assessment of the current state of dependent interviewing in household surveys Journal of Official Statistics, 16, 401 418 Michaud, S, Dolson, D, Adams, D and Renaud, M (1995) Combining administrative and survey data to reduce respondent burden in longitudinal surveys Statistics Canada SLID Research Paper Series, Catalogue No 95 19 Moore, J (2006a) The effects of questionnaire design changes on asset income amount nonresponse in waves 1 and 2 of the 2004 SIPP Panel Research Report Series (Survey Methodology), No 2006 01Washington, DC: US Census Bureau..

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