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An Analysis of Data from a Y2k Household Survey
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chapman, David |
| Copyright Year | 2002 |
| Abstract | In late 1999, The Federal Deposit Insurance Corporation (FDIC) and the Federal Reserve Board (FRB) co-sponsored a survey of U.S. adult residents that have accounts in banks, savings and loan institutions, and credit unions. The main purpose of the survey was to determine how concerned people were about banking-related problems associated with the year 2000 (Y2K) "computer bug" and how they planned to prepare for possible Y2K banking problems. This survey, which was conducted over the telephone, began on October 19, 1999, and ended December 31, 1999. It was conducted in three separate periods, with weighting provided to yield estimates of population totals for each of the three periods. Of particular interest in analyzing the survey data was whether certain demographic groups were especially concerned about Y2K banking problems. For such groups, this could have been an indication that they were more likely than other groups to take extreme action in preparing for Y2K, such as withdrawing all their money from their accounts. After such groups were identified, they could be targeted with ad hoc public relations campaigns to help allay their concerns. This paper presents an analysis of the survey data using cumulative logits, with sampling design taken into account using the statistical software package SUDAAN (Shah, Barnwell, & Bieler, 1997). The sample design is described briefly, then the explanatory and response variables used in the analysis are defined. A presentation of the analytical methodology is given, indicating the usefulness of modeling with cumulative logits in this situation. Then the results are summarized, with suggestions for further analysis of the data provided. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.asasrms.org/Proceedings/papers/2000_142.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |