UNEMPLOYMENT

Unemployment
Name
Institution Affiliation
Unemployment
It is impossible that a country will ever get to 0% unemployment rate. In the past, there is no economy that has successfully done this and it is predicted that no economy can fully achieve and maintain such a rate. The main reason is that there are some types of unemployment that are considered to be natural and hence will always occur from time to time. One example is frictional unemployment, when workers live their jobs but have not found another job yet. This leaving mostly happens voluntarily or even due to things such as mothers going on maternity leave and taking time before returning. There is also a period when students are unemployed after leaving the university and hence this means there will always be some people that are unemployed. The frictional unemployment is mostly short-term and is due to the process of job search (Pigou, 2017). Structural unemployment is also a natural type that occurs when the skills of individuals and skills needed in the job market do not match. With these two, unemployment will always exist in any job market.
In my opinion, the process used to measure unemployment can yield accurate results under the considered circumstances. In the current method, unemployment is measured as a percentage of the number of people that are without a job but are actively searching for work and willing to do one when it comes up (Anderson, Sweeney, Williams, Camm, & Cochran, 2016). This number is compared with the total number of the labor force which included both the employed as well as the unemployed.

I believe that this method is viable because it takes into consideration majority of the variable factors that change unemployment. It is also practically impossible to get the incredibly accurate number because these figures change on a daily basis and hence using the current method, the government is able to get the best or closest correct answer that can be used to make vital decisions within the government.
References
Pigou, A. (2017). The economics of welfare. Routledge.
Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J. (2016). Statistics for business & economics. Nelson Education.