BUS80003: Management - Partial And Complete Retirement - Article Summaries Writing Assignment Help

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Management Article Summaries Writing Assignment Help

Assignment Task: Research Question: What are the key predictors of partial and complete retirement respectively? Hypothesis: Wealth, health, work (demands, discretion) and non-work (disability in household, marital status, spouse’s working status) characteristics differentially predict partial and complete retirement. Paper #1: Beehr, T.A., Glazer, S., Nielson, N. & Farmer, S.J. (2000). Work and nonwork predictors of employees’ retirement ages. Journal of Vocational Behavior, 57, 206-225. Studied 197 older state government employees and their spouses, most of whom (87%) expected to retire in < 1 year (mean age=59.2 years, 62% male, 99% white, 54% had some graduate education and included teachers, professors, administrators and various professionals). Respondents had attended a retirement financial planning session. 440 couples initially agreed to participate, but only 197 did the survey - and is unclear whether that’s 197 couples. [although one would presume so - it should be stated explicitly] Beehr et al. found that wealth was significant, but Health and Gender were not. Only 1/7 of the work-related variables (“being tired of working”) and 5/8 of the non-work variables were significant after controlling for finances, gender and health. That is, more elements of life outside work predicted “expected retirement” than perceptions about the work. The significant non-work variables were “reaching mandatory retirement age”, “availability and cost of continued health insurance”, “need more time to care for someone”, expected future employment activities, and expected growth activities. Those planning to engage in other employment activities and those simply tired of working appear to retire at younger ages, while those who were planning to engage in growth activities, such as acquiring additional education or those needing to care for someone, plan to retire at older ages. Employees expect to retire at a later age as the importance of the availability and cost of continued health insurance increases. That is, either work or non-work predictors can be either positive or negative in sign, indicating that need directional theory arguments, hypotheses and analyses. Beehr et al structure their paper about testing an (extra) 7 work and 8 non-work related dimensions citing Stetz (1998), but no theory bases were noted. In turn, the finding that perceived job characteristics did not predict (cross-sectional) expected retirement age was surprising to them and inconsistent with the only similar study (McCune & Schmitt, 1981). A possible explanation for the non-result is that wealth had been statistically controlled, indicating some other relationships or variables may be involved or that something about the sample weakened the results (e.g., the sample were professionals, reducing the range of job design scores). Only two of five expected retirement activities were significant, which they felt was counterintuitive to their “beliefs that retirement activities may be viewed as especially enticing or attractive”. Alternatively, I think it may be that elements are attractive or not to only certain subsets of retirees, so when the variable is analysed across the whole sample it becomes non-significant hiding the detailed patterns. [context] A decreasing work participation rate by people over age of 55 in the US due to dramatic increases in the number of workers retiring ‘younger’ (Feldman, 1994 - check/old] and implied that the steadily increasing average age of the population leads to more retirees in general. Beehr et al. note that poor health (either mental or physical) has been a moderately strong, consistent predictor (Talaga & Beehr, 1989; Taylor & Shore, 1995), yet a few studies failed to find this result [no citation given; but those studies could have differences (e.g., sample) to those that found it; i.e., need to explain why some studies did not find health was significant] Similarly, Beehr et al. note that retirement decisions could vary by sex (Talaga & Beehr, 1995), yet sex is not significant in this study - need to draw-out why. Concerned about their target variable: self-reported expected age of retirement. Typical foci are: retirement actual age, intended age of retirement, desire to retire. Job characteristics would be weak at predicting actual, through to being less weak at predicting desired retirement age. [Perhaps a larger issue in this paper is that expected age of retirement in this sample, with most being <1 year, would have severe range restriction!] A huge issue they did not engage is that they did not separate out consideration of partial retirement.
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