According to the act it is not merely the refusal to respond to Census, but wilfully falsifying a response to Census or any other info sought under the act may lead to a prison term.
The Statistics Act states:
False or unlawful information
31. Every person who, without lawful excuse,
(a) refuses or neglects to answer, or wilfully answers falsely, any question requisite for obtaining any information sought in respect of the objects of this Act or pertinent thereto that has been asked of him by any person employed or deemed to be employed under this Act, or
(b) refuses or neglects to furnish any information or to fill in to the best of his knowledge and belief any schedule or form that the person has been required to fill in, and to return the same when and as required of him pursuant to this Act, or knowingly gives false or misleading information or practises any other deception thereunder is, for every refusal or neglect, or false answer or deception, guilty of an offence and liable on summary conviction to a fine not exceeding five hundred dollars or to imprisonment for a term not exceeding three months or to both. 1970-71-72, c. 15, s. 29.
For the complete text of Statistics Act of Canada, please visit:
http://www.statcan.gc.ca/about-apercu/act-loi-eng.htm
Thursday, July 29, 2010
STATISTICS ACT of Canada
From Coats to Sheikh
Last week Dr. Munir Sheikh resigned as Statistics Canada’s chief statistician to register his protest at the government’s attempt to misrepresent the agency about its views on converting the mandatory census into a voluntary one.
Dr. Sheikh told the parliamentary industry committee that the “fact that in the media and in the public that there was this perception that Statistics Canada was supporting a decision that no statistician would, it really casts doubt on the integrity of that agency, and I as head of that agency cannot survive in that job."
It is only appropriate to remember Robert H. Coats who was the first chief statistician of Canada who laid the foundation of Statistics Canada after being appointed as the Controller of Census in 1915.
Wikipedia recalls Robert Coats as follows:
Robert Hamilton Coats (July 25, 1874 – February 7, 1960) was Canada's first Dominion Statistician.
He was born in Clinton, Huron County, Ontario in 1874, the son of Charles Coats, who came to Canada from Scotland. In 1896, Coats received a B.A. from the University College in Toronto. He worked as a journalist for the Toronto World and then the Toronto Globe until 1902 when, at the request of Prime Minister Mackenzie King, he became editor of the Labour Gazette; King himself had been the first editor of this publication which included statistical information related to labour. Coats was named Chief Statistician for the Department of Labour in 1905. In 1915, he was appointed Dominion Statistician and Controller of the Census. Coats helped establish the Dominion Bureau of Statistics, now Statistics Canada.
He also served on statistical committees with the League of Nations. After he retired in 1942, Coats served as statistical advisor to the government of Ontario and the United Nations. He served four years as visiting professor of statistics in the Department of Political Economy at the University of Toronto.
Coats, one of the first residents of Rockliffe Park, died in Ottawa at the age of 85. He had been married twice, first to Marie Hollbeister, and then, after his first wife's death, to Maida Skelly.
The R.H. Coats Building in Ottawa was named after him.
References
- Robert Hamilton Coats fonds, Archives Canada
- Herbert Marshall, The Canadian Journal of Economics and Political Science / Revue canadienne d'Economique et de Science politique, Vol. 26, No. 3. (Aug., 1960), pp. 482-483.
- John A. Stevenson, The American Statistician, Vol. 14, No. 2. (Apr., 1960), pp. 28-29.
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Tuesday, July 27, 2010
“Munir Sheikh shows us what integrity and leadership looks like”
"Let me first of all say that it is the right of the government to make decisions, which if lawful should be implemented by any department of the government…
“The fact that in the media and in the public that there was this perception that Statistics Canada was supporting a decision that no statistician would, it really casts doubt on the integrity of that agency, and I as head of that agency cannot survive in that job."
This story cannot be told any better than John Ibbitson of Globe & Mail in today’s online edition:
“Munir Sheikh’s testimony before the Commons industry committee reminded us of something that too many forget: He did not resign as deputy minister responsible for Statistics Canada for the wrong reason; he resigned for the right reason…
“It is one thing to quit your job because you don’t agree with the boss. It is something quite different to quit your job rather than see the integrity of the people you lead compromised. There aren’t many of us who would do such a thing. But Munir Sheikh would, and did.
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Self-selection bias and census
What happens when one tries to analyse women’s labour force participation using data collected from a voluntary survey. There will obviously be a self-selection bias, that is, we will observe labour force participation choice made by only those women who chose to fill out the census form. As for those women who opted not to fill the census form, we would have no knowledge about their decision to participate in labour force or otherwise.
Now armed with a data set that suffers from self selection bias, we would have to face the challenge of analysing wages for only those women who chose to fill out the form and then chose to participate in the labour force. There are now two self-selection biases in play: one dealing with filling out the census, and the other dealing with participating in the labour force.
This poses interesting challenges in econometrics, as pointed out by Mathew Kahn in the Christian Science Monitor. He writes:
“The only winner here is Jim Heckman [recipient of the the 2000 Nobel Memorial Prize in Economic Sciences (with Daniel McFadden)] as his cite count will go up as smart researchers in sociology, demography and economics will have to come up with a selection correction to model who bothers to fill out the form and then a researcher studying women's labor force participation would need to estimate a second selection correction. I'd like to see somebody work out the "three step" standard error formula in this case!”
What Mathew means is that a researcher has to account for not just one, but two self-selection biases to be able to estimate unbiased coefficients in an econometric model that explains wage differentials between men and women. Obviously, this fine point will be lost on those who never made it beyond Statistics 101. For them, Mathew Kahn offers a simpler example:
“Suppose that highly motivated busy people don't bother [filling out the Census], then the "average" person in Canada will look "lazy" because the sample who fills out the survey will omit the high achievers.”
Put simply, the voluntary census long form will make Canada lazier than it really is!
Lastly, a paper published on census response rates suggested that racially and socio-economically diverse communities reported lower response rates at the county level. This implies that racial minorities are more involved in census when there numbers increase within the community.
Furthermore, the US Census Bureau in 2003 compared the response rates for the mandatory American Community Survey by sending a portion of the respondents the same survey but indicating that their response was voluntary. The change from mandatory to voluntary survey resulted in a huge 20.7% decline in response rate. At the same time the Bureau observed that the highest decline in response rate occurred in communities with high response rates recorded for the Census conducted in 2000.
These issues have serious implications for converting the mandatory long form into a voluntary survey.
Community Composition and Collective Action: Analyzing Initial Mail Response to the 2000 Census
Jacob L. Vigdor (Duke University)
The Review of Economics and Statistics, February 2004, 86(1): 303–312
This paper analyzes how community heterogeneity influences resident decisions to undertake actions generating public benefits. The decision in question is completing and returning the 2000 Census questionnaire, an action which secures a significant amount of federal grants for the community. The model developed to explain this action allows members of societal groups to differentially value public benefits that accrue to other group members. Racial, generational, and socioeconomic class heterogeneity all predict significantly lower response rates at the county level. The potential for endogenous sorting into heterogeneous counties implies that the magnitude of true behavioral effects exceeds these estimates. Copyright (c) 2004 President and Fellows of Harvard College and the Massachusetts Institute of Technology.
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Monday, July 26, 2010
Do immigrants perform more unpaid work?
Image by Ian Muttoo via Flickr
The National Statistics Council (NSC) of Canada has suggested to axe Question 33 from the Census long form in an effort to resolve the standoff between Statistics Canada and the Conservative government of Stephen Harper.
This is the same question that Statistics Canada was unwilling to include in the long form and was overruled by the Parliament in 1995. More details on this are available in my earlier blog.
The decision to keep or eliminate Question 33 from the Census should be based on proper debate and deliberation including all stakeholders. The NSC has made an ad hoc decision to eliminate the question about unpaid work from Census that has undermined the due process of managing Census in Canada.
The inclusion of unpaid work in Census allows us to analyze the welfare of the most disenfranchised in the society. See the following tabulation that I performed on 2001 Census for Toronto CMA. It reveals that immigrants are far more likely to engage in unpaid work than non-immigrants. Furthermore, 44% immigrant women worked more than 15 hours per week in unpaid assignments. A much lower proportion (36%) of non-immigrant women worked unpaid for more than 15 hours per week. At the same time, a smaller proportion of men (immigrant or otherwise) worked unpaid for more than 15 hours per week.
These insights would not have been possible without Question 33 about unpaid work in the Census. Are there other sources for this type of data? May be there are. But are such data readily available to those who advise policymakers? Definitely not.
| Immigrants unpaid work | female | male | Total |
| none | 9.5 | 14.9 | 12.1 |
| less than 5 hours | 17.5 | 30.0 | 23.4 |
| 5 to 14 hours | 29.2 | 34.6 | 31.8 |
| 15 to 29 hours | 23.4 | 14.1 | 19.0 |
| 30 to 59 hours | 14.1 | 5.0 | 9.8 |
| 60 hours or more | 6.4 | 1.5 | 4.0 |
| Total | 100.0 | 100.0 | 100.0 |
| 15+ hours | 43.9 | 20.6 | 32.8 |
| Non-Immigrants unpaid work | female | male | Total |
| none | 8.5 | 14.5 | 11.4 |
| less than 5 hours | 22.7 | 35.0 | 28.7 |
| 5 to 14 hours | 32.6 | 33.5 | 33.1 |
| 15 to 29 hours | 21.1 | 12.6 | 16.9 |
| 30 to 59 hours | 10.5 | 3.6 | 7.2 |
| 60 hours or more | 4.5 | 0.9 | 2.8 |
| Total | 100.0 | 100.0 | 100.0 |
| 15+ hours | 36.1 | 17.1 | 26.8 |
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The Statistics Council’s compromise on Census hurts Women!
The National Statistics Council (a body established under the Statistics Act to offer advice to Chief Statistician) has suggested a compromise that would mean leaving the census mandatory, relaxing penalties for non-compliance (no more jail time threats), and removing Question 33 about unpaid work from the 2011 Census.
I have serious concerns about eliminating Question 33, which tries to capture the extent of women’s role as primary caregivers in society. Question 33 (see the question below) asks about unpaid household work, time spent looking after children, and providing care for elderly parents. Removing this question from the Census in 2011, as suggested by the National Statistics Council, will be a great disservice to Canadian women, who indeed account for most unpaid work, and therefore face the trade off between pursuing corporate careers and taking care of the vulnerable in the society, i.e., children and elderly.
In its recommendations, the Council should have suggested an alternative (a new survey perhaps or modifying the existing surveys, such as the one on volunteering, etc.) to eliminating Question 33.
Also, I wonder how many women serve on the National Statistics Council and what was the reaction of those women about the suggestion to axe Question 33 about the unpaid work.
Question 33 in the Census long form.
Two-times as many women than men work unpaid for more than 15 hours/week
According to Statistics Canada:
| Unpaid work in Canada | 1996 | 2001 | 2006 |
| % of males reporting any hour(s) of unpaid work | 86.7 | 88.4 | 89.5 |
| % of females reporting any hour(s) of unpaid work | 93.2 | 93.4 | 93.5 |
The 2001 Census presents a breakdown of the weekly unpaid work by gender. The numbers below suggest that the category of longest duration of unpaid work (15 hours or more) is heavily dominated by women. For instance, 45% women and only 23% men reported working for more than 15 hours for unpaid work.
| 2001 Census | Total | Male | Female |
| Individuals eligible for answering Question 33 | 23,901,360 | 11,626,785 | 12,274,570 |
| No hours of unpaid housework | 10% | 13% | 8% |
| Less than 5 hours of unpaid housework | 24% | 30% | 17% |
| 5 to 14 hours of unpaid housework | 32% | 33% | 30% |
| 15 to 29 hours of unpaid housework | 20% | 15% | 24% |
| 30 to 59 hours of unpaid housework | 11% | 6% | 15% |
| 60 hours or more of unpaid housework | 4% | 2% | 6% |
| Total - Hours spent looking after children, without pay | 100% | 100% | 100% |
| No hours of unpaid child care | 62% | 66% | 58% |
| Less than 5 hours of unpaid child care | 10% | 11% | 9% |
| 5 to 14 hours of unpaid child care | 10% | 10% | 9% |
| 15 to 29 hours of unpaid child care | 7% | 6% | 7% |
| 30 to 59 hours of unpaid child care | 5% | 4% | 6% |
| 60 hours or more of unpaid child care | 6% | 3% | 10% |
| Total - Hours spent providing unpaid care or assistance to seniors | 100% | 100% | 100% |
| No hours of unpaid care or assistance to seniors | 82% | 85% | 79% |
| Less than 5 hours of unpaid care or assistance to seniors | 12% | 10% | 13% |
| 5 to 9 hours of unpaid care or assistance to seniors | 4% | 3% | 5% |
| 10 to 19 hours of unpaid care or assistance to seniors | 1% | 1% | 2% |
| 20 hours or more of unpaid care or assistance to seniors | 1% | 1% | 2% |
| Statistics Canada - Cat. No. 95F0390XCB2001004 |
The 2006 data are presented below:
| 2006 Census | Total - Sex | Male | Female |
| 2006, total individuals over 15 years | 25,511,870 | 12,395,135 | 13,116,740 |
| No hours of unpaid housework | 10% | 12% | 7% |
| Less than 5 hours of unpaid housework | 24% | 30% | 18% |
| 5 to 14 hours of unpaid housework | 32% | 34% | 31% |
| 15 to 29 hours of unpaid housework | 20% | 16% | 24% |
| 30 to 59 hours of unpaid housework | 10% | 6% | 14% |
| 60 hours or more of unpaid housework | 4% | 2% | 6% |
| Total - Hours spent looking after children, without pay | 100% | 100% | 100% |
| No hours of unpaid child care | 62% | 66% | 59% |
| Less than 5 hours of unpaid child care | 10% | 10% | 9% |
| 5 to 14 hours of unpaid child care | 9% | 10% | 9% |
| 15 to 29 hours of unpaid child care | 7% | 7% | 7% |
| 30 to 59 hours of unpaid child care | 5% | 4% | 6% |
| 60 hours or more of unpaid child care | 7% | 3% | 10% |
| Total - Hours spent providing unpaid care or assistance to seniors | 100% | 100% | 100% |
| No hours of unpaid care or assistance to seniors | 82% | 84% | 79% |
| Less than 5 hours of unpaid care or assistance to seniors | 11% | 11% | 12% |
| 5 to 9 hours of unpaid care or assistance to seniors | 4% | 3% | 5% |
| 10 to 19 hours of unpaid care or assistance to seniors | 1% | 1% | 2% |
| 20 hours or more of unpaid care or assistance to seniors | 2% | 1% | 2% |
Source: Statistics Canada - 2006 Census. Catalogue Number 97-559-XCB2006007.
---------
For those interested in determining the efforts behind getting the question 33 added to the census, I suggest the following article from Studies in Political Economy:
Studies in Political Economy, Vol 56 (1998)
Where Women's Efforts Count: The 1996 Census Campaign and "Family Politics" in Canada
Meg Luxton, Leah F. Vusko
Abstract
After more than ten years of organising and lobbying by women's groups, the 1996 Canadian Census included, for the first time, a detailed question about the amount of time people spend on unpaid housework and care giving for children and seniors. According to Statistics Canada, this information was collected to "provide a better understanding of how these unpaid activities contribute to the well-being of Canadians." However, behind this formal explanation lies an on-going political struggle over who is or should be responsible for the socially necessary work of taking care of people, especially dependent children and elders, and how that work should be socially recognized and organised.
Full Text: PDF
Studies in Political Economy:
Online ISSN 1918-7033
Print ISSN 0707-8552Some background on unpaid work question in Census
The motivation came from the United Nations:
“International Developments The roots of the 1996 Census campaign may be traced to the Third United Nations World Conference on Women in Nairobi in 1985 where the International Wages for Housework Campaign presented a motion that led to the UN resolution contained in paragraphs 58, 64, 20, 130 and 179 of the Forward-Looking Strategies for the Advancement of Women. This resolution directed countries to:
- provide gender specific data;
- recognise the remunerated and unremunerated contributions of women in national economic statistics and the gross domestic product, especially those contributions of women in agriculture, food production, reproduction, and household activities;
- improve the capabilities of national statistical institutions to implement these concepts and measure regular programs;
- strengthen, monitor and evaluate statistics and indicators on women; and
- provide training for producers and users of statistics on women.”
Carol Lees, an unsung hero
“At this juncture, Saskatchewan homemaker Carol Lees refused to fill out the 1991Census because it did not recognise her unpaid domestic work. Picketing a federal government building in Saskatoon and challenging the government to arrest her, her efforts attracted support from other women's groups - for example, the Saskatchewan executive of the National Council of Women of Canada (NCWC) picketed with her - and generated widespread media coverage.”
Statistics Canada did background research
“Statistics Canada also held an international conference in April 1993 on the "Measurement and Valuation of Unpaid Work."24 Billed as a conference of international "experts," women activists in Canada were .initially not invited. For many women, this experience of exclusion reaffirmed the government's dismissive attitude towards women's groups and their concerns. However, many women protested and, eventually, invitations were extended to representatives from ten women's organisations.”
Statistics Canada reluctant to add question on unpaid work
“Statistics Canada took the position that the Census was an inappropriate place to measure unpaid work upon completing extensive consultations and a Census Pre-Test. In making this assessment, Statistics Canada suggested that the Pre-Test indicated that a Census question on unpaid work, "was liable to produce inaccurate and insufficient data as well as results that were ill-suited to guiding public policy-making and further research on unpaid work."54 Subsequently defending its views to the media, Assistant Chief Statistician Bruce Petrie noted that "testing to date has shown that the Census is not the appropriate vehicle for collecting data of this type.”
The Parliament over-rules Statistics Canada on unpaid work
“Cabinet was scheduled to make its decision early in 1995. However, it repeatedly delayed its announcement. Finally, during the Fourth United Nations World Conference on Women in Beijing, where Canadian delegates were in the leadership in negotiating new language on measuring and valuing unpaid work the Canadian government announced its decision to add a question to the 1996 Census. In a rare move, it had overruled Statistics Canada. Cabinet did not give any explanation either for the delay or for the basis of its decision. For undeclared reasons, the Canadian government appeared to respond to political lobbying from women's groups, against the advice of Statistics Canada, and made its announcement at the height of international attention.”
The National Statistics Council presented the following recommendation to the government:
Seeking Solutions by NSC
The National Statistics Council, the senior, external advisory group appointed by the government of Canada to advise the Chief Statistician, is deeply concerned by the effect of the announced changes to the 2011 Census. We believe that the changes will harm the integrity and quality of the Canadian statistical system. At the same time, the Council recognizes that concerns about intrusiveness and confidentiality should be addressed.
It is urgent we find solutions that protect the quality of the information Canadians depend upon while responding to concerns over the way in which the Census is conducted.
What is at risk?
First, the proposed, voluntary National Household Survey will suffer from significant respondent self-selection bias. Even with substantial efforts to mitigate the inevitable decline in response rates, this will degrade the data upon which much of the Canadian statistical system is based.
The proposed changes will likely result in Statistics Canada’s not being able to publish robust, detailed information for neighbourhoods, towns or rural areas. Much of the analytic work done by municipalities, private firms, health agencies, highway and transportation planners, school boards and large numbers of other groups that depend upon small-area knowledge and data will no longer be possible.
Our second concern is the potential loss of vital benchmark information. The mandatory ‘long form’ means that Statistics Canada has an accurate benchmark for the demographics of populations who are difficult to reach or who are less likely to complete a voluntary survey. This, in turn, means that sampling and weighting strategies for subsequent, voluntary surveys can compensate for differential response rates and produce more reliable information.
The importance of having Census benchmarks available is readily apparent when one considers some of the populations that we know are more difficult to reach – young people making the school-to-work transition, urban Aboriginal populations, the affluent, and new immigrants.
Without solid benchmark information, subsequent surveys and analysis rest on an uncertain foundation. The Bank of Canada cautiously stated that, while they do not use long-form data directly, they feel they will have to evaluate “the impact that any proposed change would have on the reliability and the quality” of economic data they use. The Bank’s statement exemplifies the repercussions the changes may have over the broader Canadian statistical system.
The National Statistics Council also recognizes the concern that Canadians not be overburdened by governments compelling them to respond to onerous or intrusive demands for unnecessary information. On a number of occasions, the National Statistics Council has urged changes and worked with Statistics Canada to reduce such respondent burden. With respect to the Census, the Council has strongly supported changes to data collection methods that enhance privacy such as mail-in and on-line options.
In addition, the Council strongly supports Statistics Canada’s commitment to the complete confidentiality of respondent information and it recognizes the agency’s undisputed success in reaching this goal. The Council shares the Privacy Commissioner’s Office view that Census questions are ‘inherently privacy-invasive’ and that the questions must be kept to what is necessary for good government and that the information gathered must be protected with the appropriate safeguards.
This focus on minimizing intrusiveness and protecting privacy is important to retaining the confidence of Canadians. We are satisfied that Canadians trust Statistics Canada and its procedures and that Canadians provide answers they would be unwilling to provide to a private survey firm. The Council also believes that confidence must be sustained through ongoing actions.
In a matter of a very few weeks at most, it will be impossible to change the 2011 Census or the National Household Survey. Meanwhile, debate over the future course of the Census has become heated without moving towards a resolution that meets both concerns about privacy and intrusiveness, as well as the need to maintain the quality of Canada’s statistical system. What then do we recommend?
The National Statistics Council recommends:
- That, as part of a formal consultation process beginning with the 2016 Census, Statistics Canada examine each Census question to ensure that it, at a minimum, meets one of the following tests for inclusion in the Census:
- It is required by legislation or Cabinet direction,
- It is needed for small-area data uses for which there is no alternative data source,
- It is needed to create benchmarks for measuring difficult-to-reach groups and ensuring that subsequent surveys or data derived from administrative sources can be sampled or weighted to reflect accurately the overall population,
- It is needed to assess progress on issues of national importance, for example the economic integration of new immigrants, or
- It is to be used as a basis for post-censal survey sampling of relatively small or dispersed groups, for example, urban Aboriginals or people with health conditions that limit their activity.
Even if a question met this requirement, it would still face tests of its overall importance to the Canadian statistical system and the needs of data users as weighed against cost and the intrusiveness of the question.
- The Council is aware that other countries have conducted successful censuses without people having to face the potential of jail as a punishment for not filling out census forms. We, therefore, recommend that the Statistics Act be amended to remove jail sentences as a possible punishment for not filling out the Census. At the same time, the Council recommends that jail continue to be a punishment for those who wilfully break confidentiality provisions.
- That the Census for 2011 include the long form being used for 20% of the population as the only way, given the very short timeframe, to safeguard the quality of the Canadian statistical system.
- That the question series on household activities (question 33 in the 2006 long-form Census) be dropped as it was the question that occasioned the largest number of objections among the substantive questions and since it fails to meet any of the five tests outlined in point 1.
The National Statistics Council believes that these steps, taken together, can respect the valid concerns voiced by Canadians about privacy and intrusiveness, while ensuring that the vital information that currently flows from the long-form Census can be maintained and continues to serve Canadians’ needs.
Ian McKinnon,
Chair, The National Statistics Council
National Statistics Council
Establishment of the National Statistics Council
In the early 1980s Statistics Canada embarked on a conscious program of strengthening its active consultative mechanisms with key clients and broadly based representatives of the national interest. Among the major new initiatives were the establishment of a series of bilateral senior committees with key federal departments – both clients and sources of data derived from administrative records (this supplemented already existing strong consultative mechanisms with the provinces); and some 10-15 professional advisory committees were set up. The latter involved experts (typically from outside government) in such areas as demography, labour, national accounting, price measurement, service industries, etc.
In 1985, the government established, at the apex of the Agency's consultative mechanisms, the National Statistics Council. Its formal mandate is very brief: it is to "advise the Chief Statistician in setting priorities and rationalizing Statistics Canada programs". In line with other aspects of Canadian policy in relation to statistical activities, a careful balance was attempted between policy relevance and professional independence.
Appointment process and membership
Members of the Council are appointed for a period of three years but subject to renewal. There are about 40 members. While there are no rules for representation, the following practice has generally been adhered to:
- All members serve in their individual capacities – there are no formal representational appointments;
- Most members are interested and prestigious analysts of some aspect of Canadian life, but few are professional statisticians;
- Some members from Statistics Canada's various professional advisory committees serve on the Council. This ensures the availability of a wide range of subject matter knowledge within the Council, as well as linkage with the Agency's other advisory bodies;
- A senior member from the Statistical Society of Canada sometimes serves;
- At least one senior journalist on social or economic affairs is a member;
- Membership is selected in such a fashion as to ensure appropriate knowledge of the different provinces and territories of Canada ;
- No federal official is a member of the Council. This enhances the de facto independence of Council to "speak up" should it be necessary;
- The Chief Statistician is an ex officio member;
- An Assistant Chief Statistician serves as secretary.
A large proportion of the initial members, were appointed by the Minister from a list of persons recommended by the Chief Statistician. Subsequent appointments have been proposed to the Minister by the Chief Statistician following discussions with the Chairman of the Council.
As a result of these measures, the Council is a very knowledgeable, influential and broadly representative group. Indeed, its influence derives from the individual prestige of its members.
Agenda and Modus Operandi
The Council normally meets twice a year, each time for a day and a half. Regular agenda items are “Statements by Members” in which Council members may raise questions or concerns either for immediate response or subsequent discussion, and an in-depth report by the Chief Statistician on recent developments at Statistics Canada (including new substantive initiatives, forward planning, budgetary expectations). Other agenda items usually deal with major statistical or policy issues – such as: Census content, Environment statistics, Longitudinal data, Issues in social statistics, National accounts, Dissemination practices, Pricing policy, Privacy and record linkage, Contingency planning in the face of expected budget cuts, the Provincial component of the national statistical system, Significant statistical information gaps, etc.
Agenda items are selected from items raised by members and issues identified by Statistics Canada in discussions with the Chairman. From time to time a subgroup of the Council is formed to deal with particular issues (e.g. access to historical censuses) between Council meetings.
The Council generally provides feedback to the Chief Statistician through a discussion among its members. Consensus is usually (though not always) achieved.
Conclusion
There can be no doubt that members of the Council take their function seriously. The Chief Statistician regards their advice as being of very substantial benefit. In addition, through the prestige of its members and through precedent, Council has evolved into an additional and – should the need arise undoubtedly very influential – bulwark in the defence of the objectivity, integrity and long-term soundness of Canada’s national statistical system.
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Saturday, July 24, 2010
Is R not at the cutting edge of Econometrics?
I landed on Freakonomics blog on an entry by Ian Ayres, the author of the book Super Crunchers. He wrote:
And R is probably not kept up to speed on the cutting-edge empirical methods as quickly as the traditional packages.
This is certainly not true and in fact the commercial packages often take years to implement the recent developments in econometrics. Consider that SPSS still does not offer routines to run Discrete Choice Models even when Prof. Daniel McFadden received a Nobel in Economics for his work in discrete choice (conditional logit) models.
I also recall paying annual license fees for S-Plus in between 2000 and 2004 and hardly received any update for my renewed annual licenses.
Then why would Ian suggest that R is not at the cutting edge of econometrics. But wait, Ian admits that he may not be the most objective person on this matter since he admitted that “SPSS and SAS have paid me handsomely to give Super Crunching talks, so I may not be the most objective observer.”
R perhaps is the most up-to-date statistical package since most new algorithms are being coded in R. Why? Because those who code new algorithms would like to have their algorithms receive the widest circulation. R makes it possible because it is freely available and anyone can run the new algorithm without spending a dime on license fees.
Also, SPSS sent me an invoice of $7,600 upgrade my license. R was free and much more powerful. Guess what platform did I choose!
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