Unemployment Coursework Example | Topics and Well Written Essays - 1500 words

Unemployment - Coursework Example Unemployment This denotes that comparisons may end up misleading and giving inaccurate count, as well as a count that does not mirror the actual count (Office for National Statistics 2013) and (Dustmann, Glitz & Vogel 2006). This misrepresentation of data could be the reason why the Claimant count emerged with a 1 million count of unemployed persons less than what the ILO Count got (Turner 2012) and (Dustmann, Glitz & Vogel 2006). The reason why the ILO Count was more than that of the Claimant count is because the ILO count measure takes into account all persons with no jobs unlike the Claimant count measure, which does not take into account persons who are unqualified for benefits (Turner 2012), (Department for Children, Schools and Families 2008) and (Dustmann, Glitz & Vogel 2006). In other words, the Claimant Count measure does not include in their measures persons who have a significant other being paid beyond the benefits level for the family, students employed for part-time jobs, persons un der the age of eighteen and reluctant to go in for a youth-training centre as well as persons who have departed their profession voluntarily. The ILO count measure obtains the real actual count of unemployed persons because it collects the actual facts of unemployed persons. It gives the actual number of all unemployed persons who wish to get jobs but are not qualified for benefits unlike the Claimant count measure. Additionally, ILO count measure collects data that is current unlike Claimant count measure that depends on administrative records that may be out of date, incorrect and misrepresented (Office for National Statistics 2013) and (Dustmann, Glitz & Vogel 2006) as well as (Department for Children, Schools and Families 2008). ... Additionally, ILO count measure collects data that is current unlike Claimant count measure that depends on administrative records that may be out of date, incorrect and misrepresented (Office for National Statistics 2013) and (Dustmann, Glitz & Vogel 2006) as well as (Department for Children, Schools and Families 2008). However, the ILO count may not be able to cover all the necessary facts in its surveys during data collection because people may not provide accurate facts. For the two measures, namely; ILO count measure and Claimant count measure, ILO count measure is likely to be inaccurate because it relies on people to answer queries accurately and truthfully, which may not be the case (Turner 2012) and (Dustmann, Glitz & Vogel 2006). People do not always tell the truth especially when it comes to personal information such as their employment status (Turner 2012) and (Department for Children, Schools and Families 2008). Likewise, the Claimant count measure is likely to be inaccu rate as well because it depends on administrative records to calculate its count for unemployed persons (Turner 2012) and (Office for National Statistics 2013). The reason why this may result in inaccurate number of unemployed persons is because most of these administrative records could be misrepresented, incorrect, falsified or altered over time, thereby giving inaccurate information at the of the day (Office for National Statistics 2013) and (Dustmann, Glitz & Vogel 2006). The fact that there are numerous vacancies, yet the rate of unemployment is still high in UK, can be explored with respect to available human skills, lack of knowhow, lack of fresh recruits to replace the retired ones as well as the forcing of young persons by their parents