Keyword search
Results
All (3)
All (3) ((3 results))
- Articles and reports: 11-522-X200800010991Description:
In the evaluation of prospective survey designs, statistical agencies generally must consider a large number of design factors that may have a substantial impact on both survey costs and data quality. Assessments of trade-offs between cost and quality are often complicated by limitations on the amount of information available regarding fixed and marginal costs related to: instrument redesign and field testing; the number of primary sample units and sample elements included in the sample; assignment of instrument sections and collection modes to specific sample elements; and (for longitudinal surveys) the number and periodicity of interviews. Similarly, designers often have limited information on the impact of these design factors on data quality.
This paper extends standard design-optimization approaches to account for uncertainty in the abovementioned components of cost and quality. Special attention is directed toward the level of precision required for cost and quality information to provide useful input into the design process; sensitivity of cost-quality trade-offs to changes in assumptions regarding functional forms; and implications for preliminary work focused on collection of cost and quality information. In addition, the paper considers distinctions between cost and quality components encountered in field testing and production work, respectively; incorporation of production-level cost and quality information into adaptive design work; as well as costs and operational risks arising from the collection of detailed cost and quality data during production work. The proposed methods are motivated by, and applied to, work with partitioned redesign of the interview and diary components of the U.S. Consumer Expenditure Survey.
Release date: 2009-12-03 - 2. An Application of the Hedonic Approach to Clothing Items in the Consumer Price Index (CPI) ArchivedArticles and reports: 62F0014M1997009Geography: CanadaDescription:
A research program was recently initiated by Prices Division to explore the feasibility of using the hedonic approach for making quality adjustments in the Consumer Price Index (CPI) for clothing items. The current paper is the first of a series, which attempts to derive hedonic quality adjustments for Men's Dress Shirts. A database for quality characteristics is first constructed, from which two experimental hedonic models are estimated. One of these models is then used to produce hedonic quality adjustments for all shirt substitutions that have occurred subsequent to May 1995 up to June 1996. These values are then compared with the actual quality adjustments used in the official CPI. Although results are preliminary, three important conclusions can be made. First, quality adjustments derived using the hedonic versus the traditional approach are very different, at least at the level of individual substitutions. Which of the two approaches is more accurate, however, is not evident at this premature stage. Second, the integrity of the data on quality characteristics will have to improve greatly if the hedonic approach is ever to be considered as a viable alternative. Finally, improving the source data on quality characteristics would be of value whether or not the hedonic approach is adopted for making quality adjustments. One of the ways this could be done would be to adopt the checklist approach, which is the current procedure in the United States and in Sweden.
Release date: 1999-05-13 - Articles and reports: 62F0014M1998011Geography: CanadaDescription:
This paper is the second in a series reporting on the current progress of a study whose purpose is to explore the feasibility of using the hedonic approach for making quality adjustments to the Clothing component of the Consumer Price Index (CPI). In this phase of the study, two preliminary checklists were developed for obtaining prices and quality characteristics for Men's Dress Shirts and Men's Sports Jackets. These checklists were then used for data collection in the field on expanded CPI samples for the two items. To date, the resulting database for Men's Dress Shirts has been used to derive a hedonic model. The main conclusions that can be made at this point are: 1) checklists represent a certain improvement over the current method of reporting and should be developed for all clothing items in the CPI; 2) if the hedonic approach to quality adjustment in clothing is to be formally adopted then the CPI samples will have to be augmented, at least periodically to permit estimation; and 3) more experience is needed with the hedonic approach in research mode, using clothing items with more complexity, before we can say whether the hedonic approach should be formally adopted as an alternative to our current method of quality adjustment for clothing items.
Release date: 1999-05-13
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (3)
Analysis (3) ((3 results))
- Articles and reports: 11-522-X200800010991Description:
In the evaluation of prospective survey designs, statistical agencies generally must consider a large number of design factors that may have a substantial impact on both survey costs and data quality. Assessments of trade-offs between cost and quality are often complicated by limitations on the amount of information available regarding fixed and marginal costs related to: instrument redesign and field testing; the number of primary sample units and sample elements included in the sample; assignment of instrument sections and collection modes to specific sample elements; and (for longitudinal surveys) the number and periodicity of interviews. Similarly, designers often have limited information on the impact of these design factors on data quality.
This paper extends standard design-optimization approaches to account for uncertainty in the abovementioned components of cost and quality. Special attention is directed toward the level of precision required for cost and quality information to provide useful input into the design process; sensitivity of cost-quality trade-offs to changes in assumptions regarding functional forms; and implications for preliminary work focused on collection of cost and quality information. In addition, the paper considers distinctions between cost and quality components encountered in field testing and production work, respectively; incorporation of production-level cost and quality information into adaptive design work; as well as costs and operational risks arising from the collection of detailed cost and quality data during production work. The proposed methods are motivated by, and applied to, work with partitioned redesign of the interview and diary components of the U.S. Consumer Expenditure Survey.
Release date: 2009-12-03 - 2. An Application of the Hedonic Approach to Clothing Items in the Consumer Price Index (CPI) ArchivedArticles and reports: 62F0014M1997009Geography: CanadaDescription:
A research program was recently initiated by Prices Division to explore the feasibility of using the hedonic approach for making quality adjustments in the Consumer Price Index (CPI) for clothing items. The current paper is the first of a series, which attempts to derive hedonic quality adjustments for Men's Dress Shirts. A database for quality characteristics is first constructed, from which two experimental hedonic models are estimated. One of these models is then used to produce hedonic quality adjustments for all shirt substitutions that have occurred subsequent to May 1995 up to June 1996. These values are then compared with the actual quality adjustments used in the official CPI. Although results are preliminary, three important conclusions can be made. First, quality adjustments derived using the hedonic versus the traditional approach are very different, at least at the level of individual substitutions. Which of the two approaches is more accurate, however, is not evident at this premature stage. Second, the integrity of the data on quality characteristics will have to improve greatly if the hedonic approach is ever to be considered as a viable alternative. Finally, improving the source data on quality characteristics would be of value whether or not the hedonic approach is adopted for making quality adjustments. One of the ways this could be done would be to adopt the checklist approach, which is the current procedure in the United States and in Sweden.
Release date: 1999-05-13 - Articles and reports: 62F0014M1998011Geography: CanadaDescription:
This paper is the second in a series reporting on the current progress of a study whose purpose is to explore the feasibility of using the hedonic approach for making quality adjustments to the Clothing component of the Consumer Price Index (CPI). In this phase of the study, two preliminary checklists were developed for obtaining prices and quality characteristics for Men's Dress Shirts and Men's Sports Jackets. These checklists were then used for data collection in the field on expanded CPI samples for the two items. To date, the resulting database for Men's Dress Shirts has been used to derive a hedonic model. The main conclusions that can be made at this point are: 1) checklists represent a certain improvement over the current method of reporting and should be developed for all clothing items in the CPI; 2) if the hedonic approach to quality adjustment in clothing is to be formally adopted then the CPI samples will have to be augmented, at least periodically to permit estimation; and 3) more experience is needed with the hedonic approach in research mode, using clothing items with more complexity, before we can say whether the hedonic approach should be formally adopted as an alternative to our current method of quality adjustment for clothing items.
Release date: 1999-05-13
Reference (0)
Reference (0) (0 results)
No content available at this time.
- Date modified: