{"title":"On the treatment of seasonal commodities in CPI: The israeli experience.","authors":"Yevgeny Artsev, Y. Finkel","doi":"10.3233/SJU-2004-21202","DOIUrl":"https://doi.org/10.3233/SJU-2004-21202","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"156 1","pages":"95-113"},"PeriodicalIF":0.0,"publicationDate":"2005-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77892555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Families of consumer price indices for different purposes. CPIs for sub-groups of population.","authors":"L. Biggeri, L. Leoni","doi":"10.3233/SJU-2004-21207","DOIUrl":"https://doi.org/10.3233/SJU-2004-21207","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"57 1","pages":"157-165"},"PeriodicalIF":0.0,"publicationDate":"2005-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77902945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Swedish re-considerations of user-cost approaches to owner occupied housing","authors":"M. Ribe","doi":"10.3233/SJU-2004-21205","DOIUrl":"https://doi.org/10.3233/SJU-2004-21205","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"5 1","pages":"139-146"},"PeriodicalIF":0.0,"publicationDate":"2005-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79299228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The 2008 Israel integrated census of population and housing","authors":"C. Kamen","doi":"10.3233/SJU-2005-22105","DOIUrl":"https://doi.org/10.3233/SJU-2005-22105","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"9 1","pages":"39-57"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76991448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The use of hand-held devices and other modem technologies in the 2003 Census of the Sultanate of Oman","authors":"A. Raisi","doi":"10.3233/SJU-2005-22107","DOIUrl":"https://doi.org/10.3233/SJU-2005-22107","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"177 1","pages":"73-90"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90231919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper describes the concept of the next population and housing census in Germany (scheduled for 2011) and the main results of large-scale surveys carried out for testing the model of a register-based census in December 2001. The most important element of the new census method is the use of a combination of the two data collection methods: (i) The geographic and demographic characteristics of persons can be drawn from the population registers and the economic characteristics can be obtained from employee registers (which do not cover self-emloyed persons); (ii) As there are no nation-wide registers for buildings and dwellings, the characteristics on dwellings and buildings have to be collected through a postal survey contact of the owners of the buildings/dwellings. Other census characteristics not available from registers (e.g. educational or ecomomic characteristics for self-emloyed persons) have to be collected through a supplementary sample survey. The housing census also provides information on dwellings (name of one or two occupants and the number of occupants) which can be used to link the individual persons stored in the population registers to their dwelling in order to create information on private (dwelling) households. The new census approach will not only reduce census costs significantly - the costs for a traditional census would be about 1 billion euros, while the costs for a widely register-based census are estimated at about 340 million euros - but it will also involve a much smaller response burden on the population than would be imposed by a complete enumeration. After World War II, four population and housing censuses were carried out in Germany: in 1950, 1961, 1970 and 1987. This was done in a traditional way by interviewing inhabitants in a complete enumeration. The last census scheduled for spring 1981 had to be postponed twice. The first postponement was for cost reasons: the Federal States (Ldemanded a contribution from the Federal Government towards the expenses of the municipalities for the field operations. The second postponement was due to the cancellation of the census law by the Federal Constitutional Court in spring 1983. In autumn 1982, a politically motivated boycott movement against the population census started and resulted in numerous (about 1200) complaints from citizens against the constitutionality of the census law. Unexpectedly, the Supreme Court cancelled the census law. The main reason for this verdict was that the envisaged transmission of census microdata to the municipalities for the adjustment of the population registers was considered to be an infraction of the general right to privacy. This verdict is still in force. It means that administrative data may be transmitted from the administration authorities to the statistical offices, but no data on individual persons (collected in a statistical survey) may be transmitted back to the municipalities e.g. for the purpose of adjusting incorrect ent
{"title":"The new method of the next german population census","authors":"Johann Szenzenstein","doi":"10.3233/SJU-2005-22106","DOIUrl":"https://doi.org/10.3233/SJU-2005-22106","url":null,"abstract":"This paper describes the concept of the next population and housing census in Germany (scheduled for 2011) and the main results of large-scale surveys carried out for testing the model of a register-based census in December 2001. The most important element of the new census method is the use of a combination of the two data collection methods: (i) The geographic and demographic characteristics of persons can be drawn from the population registers and the economic characteristics can be obtained from employee registers (which do not cover self-emloyed persons); (ii) As there are no nation-wide registers for buildings and dwellings, the characteristics on dwellings and buildings have to be collected through a postal survey contact of the owners of the buildings/dwellings. Other census characteristics not available from registers (e.g. educational or ecomomic characteristics for self-emloyed persons) have to be collected through a supplementary sample survey. The housing census also provides information on dwellings (name of one or two occupants and the number of occupants) which can be used to link the individual persons stored in the population registers to their dwelling in order to create information on private (dwelling) households. The new census approach will not only reduce census costs significantly - the costs for a traditional census would be about 1 billion euros, while the costs for a widely register-based census are estimated at about 340 million euros - but it will also involve a much smaller response burden on the population than would be imposed by a complete enumeration. After World War II, four population and housing censuses were carried out in Germany: in 1950, 1961, 1970 and 1987. This was done in a traditional way by interviewing inhabitants in a complete enumeration. The last census scheduled for spring 1981 had to be postponed twice. The first postponement was for cost reasons: the Federal States (Ldemanded a contribution from the Federal Government towards the expenses of the municipalities for the field operations. The second postponement was due to the cancellation of the census law by the Federal Constitutional Court in spring 1983. In autumn 1982, a politically motivated boycott movement against the population census started and resulted in numerous (about 1200) complaints from citizens against the constitutionality of the census law. Unexpectedly, the Supreme Court cancelled the census law. The main reason for this verdict was that the envisaged transmission of census microdata to the municipalities for the adjustment of the population registers was considered to be an infraction of the general right to privacy. This verdict is still in force. It means that administrative data may be transmitted from the administration authorities to the statistical offices, but no data on individual persons (collected in a statistical survey) may be transmitted back to the municipalities e.g. for the purpose of adjusting incorrect ent","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"13 1","pages":"59-71"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79947676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Data from many different sources were combined to produce the Dutch Census tables of 2001. Since the last Census based on a complete enumeration was held in 1971, the willingness of the population to participate has fallen sharply. Statistics Netherlands found an alternative in the Virtual Census, using available registers and surveys. The table results are not only comparable with the earlier Dutch Censuses but also with those of the other countries in the 2001 Census Round. For the 2001 Census, more detailed information is required than was the case for earlier Census Rounds. The acquired experience in dealing with data of various administrative registers for statistical use enabled Statistics Netherlands to develop a Social Statistical Database (SSD), which contains coherent and detailed demographic and socio-economic statistical information on persons and households. The Population Register forms the backbone of the SSD. Sample surveys are still needed for information that is not available from registers. To achieve overall numerical consistency across the Census tables set of 2001, the methodologists at Statistics Netherlands developed a new estimation method that ensures numerically consistent table sets if the data are obtained from different data sources. The method is called repeated weighting, and is based on the repeated application of the regression method to eliminate numerical inconsistencies among table estimates from different sources. In 2003, data were combined to produce the Dutch 2001 Census tables. In the Netherlands, this was done using data that Statistics Netherlands already had available rather than by interviewing inhabitants in a complete enumeration. This way, the Dutch taxpayer received a much lower census bill. The costs for a traditional census would be about three hundred million Euros, while the costs using this method are 'only' about three million. The estimate includes the costs for all preparatory work such as developing a new methodology and accompanying software. The costs of the registers are not included, but the analyses of the results are. Registers are not kept up-to-date for censuses but for other purposes. Saving money on census costs is only possible in countries that have sufficient register information. As an example, we can compare the costs of the Dutch Virtual Census of 2001 with the costs of the traditional Census that was held in Canada. In Canada, the census costs amounted to approximately 450 million Euros. Canada has about 31.6 million inhabitants, twice as many as the Netherlands. Statistics Canada justifies the huge census costs by pointing out the enormous implications of the census results for the distribution of money among regions. Moreover, a virtual census would be impossible in Canada because of the lack of sufficient register data.
{"title":"The Dutch virtual Census 2001: A new approach by combining different sources","authors":"Eric Schulte Nordholt","doi":"10.3233/SJU-2005-22104","DOIUrl":"https://doi.org/10.3233/SJU-2005-22104","url":null,"abstract":"Data from many different sources were combined to produce the Dutch Census tables of 2001. Since the last Census based on a complete enumeration was held in 1971, the willingness of the population to participate has fallen sharply. Statistics Netherlands found an alternative in the Virtual Census, using available registers and surveys. The table results are not only comparable with the earlier Dutch Censuses but also with those of the other countries in the 2001 Census Round. For the 2001 Census, more detailed information is required than was the case for earlier Census Rounds. The acquired experience in dealing with data of various administrative registers for statistical use enabled Statistics Netherlands to develop a Social Statistical Database (SSD), which contains coherent and detailed demographic and socio-economic statistical information on persons and households. The Population Register forms the backbone of the SSD. Sample surveys are still needed for information that is not available from registers. To achieve overall numerical consistency across the Census tables set of 2001, the methodologists at Statistics Netherlands developed a new estimation method that ensures numerically consistent table sets if the data are obtained from different data sources. The method is called repeated weighting, and is based on the repeated application of the regression method to eliminate numerical inconsistencies among table estimates from different sources. In 2003, data were combined to produce the Dutch 2001 Census tables. In the Netherlands, this was done using data that Statistics Netherlands already had available rather than by interviewing inhabitants in a complete enumeration. This way, the Dutch taxpayer received a much lower census bill. The costs for a traditional census would be about three hundred million Euros, while the costs using this method are 'only' about three million. The estimate includes the costs for all preparatory work such as developing a new methodology and accompanying software. The costs of the registers are not included, but the analyses of the results are. Registers are not kept up-to-date for censuses but for other purposes. Saving money on census costs is only possible in countries that have sufficient register information. As an example, we can compare the costs of the Dutch Virtual Census of 2001 with the costs of the traditional Census that was held in Canada. In Canada, the census costs amounted to approximately 450 million Euros. Canada has about 31.6 million inhabitants, twice as many as the Netherlands. Statistics Canada justifies the huge census costs by pointing out the enormous implications of the census results for the distribution of money among regions. Moreover, a virtual census would be impossible in Canada because of the lack of sufficient register data.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"85 1","pages":"25-37"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90278570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The French new rolling census","authors":"J. Durr","doi":"10.3233/SJU-2005-22102","DOIUrl":"https://doi.org/10.3233/SJU-2005-22102","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"103 1","pages":"3-12"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90402570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The United States Decennial Census of Population and Housing is an essential part of the American political, economic, and social systems. Census data are critically important in achieving equitable political representation, and in a variety of other public and private sector uses. Census 2000 was an unprecedented operational success and the most accurate census to date in terms of coverage. However, given the rapid demographic and technological changes that will continue to occur over this decade, the methods of Census 2000 cannot be repeated in 2010 without incurring unacceptable risk and cost. The reengineered 2010 Census consists of three highly integrated activities designed to dramatically improve upon what was a very good census in 2000. We will accomplish this by taking advantage of opportunities for innovation – made possible through the expanded use of technology – in order to: 1) increase the coverage, accuracy, and quality of census data; 2) reduce operational risk; 3) increase the relevance and timeliness of census long form data; and 4) contain costs. The three highly integrated activities we have embarked upon to meet these goals are: 1) the American Community Survey (ACS); 2) the Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Enhancements Program; and 3) a multi-year program of comprehensive planning, development, and testing for a short form only 2010 Census. We expect that the cost reductions in the last component will be sufficient to offset the costs of all three components of the reengineered census. That is, all three components can be carried out at a cost that is no greater – and probably somewhat less – than the cost of repeating the Census 2000 process.
{"title":"Reengineering the census of population and housing in the united states","authors":"P. J. Waite, Burton H. Reist","doi":"10.3233/SJU-2005-22103","DOIUrl":"https://doi.org/10.3233/SJU-2005-22103","url":null,"abstract":"The United States Decennial Census of Population and Housing is an essential part of the American political, economic, and social systems. Census data are critically important in achieving equitable political representation, and in a variety of other public and private sector uses. Census 2000 was an unprecedented operational success and the most accurate census to date in terms of coverage. However, given the rapid demographic and technological changes that will continue to occur over this decade, the methods of Census 2000 cannot be repeated in 2010 without incurring unacceptable risk and cost. The reengineered 2010 Census consists of three highly integrated activities designed to dramatically improve upon what was a very good census in 2000. We will accomplish this by taking advantage of opportunities for innovation – made possible through the expanded use of technology – in order to: 1) increase the coverage, accuracy, and quality of census data; 2) reduce operational risk; 3) increase the relevance and timeliness of census long form data; and 4) contain costs. The three highly integrated activities we have embarked upon to meet these goals are: 1) the American Community Survey (ACS); 2) the Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Enhancements Program; and 3) a multi-year program of comprehensive planning, development, and testing for a short form only 2010 Census. We expect that the cost reductions in the last component will be sufficient to offset the costs of all three components of the reengineered census. That is, all three components can be carried out at a cost that is no greater – and probably somewhat less – than the cost of repeating the Census 2000 process.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"24 1","pages":"13-23"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88919501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-08-17DOI: 10.3233/SJU-2003-203-403
S. Kolesnikov
{"title":"All-russia population census – 2002: Information, communications, public relations.","authors":"S. Kolesnikov","doi":"10.3233/SJU-2003-203-403","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-403","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"20 1","pages":"235-240"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80579076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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