Yilmaz KilicaslanFaculty of EconomicsAnadolu University

Eskisehir, Turkey

Aims of the Research

• The aim of this research is to determine the dimension and determinants of job-mismatch in Turkey, Czech Republic, Germany and the UK.

• In order to do so;• Determine the dimension of job-mismatch in partner countries.• Investigate the determinants of mismatch, i.e. Education, tenure,

experiment, gender, age, human capital, industry, ethnic group are possible sources in the light of literature.

• to analyze the impact of mismatch on wages. • the impact of mismatch on job satisfaction

What is mismatch?

• Mismatch is the case that workers are not-well matched according to their educational and skill basis.

• There are two types of mismatch: • Education, and • skill mismatch

Education mismatch

• Educational mismatch is the case that workers who have more or less education level than their job require. While the ones with having more formal schooling are called as over-educated, others who have less are under-educated.

• Whether the field of education is appropriate for the job is another mismatch measurement tool based on the formal education.

Skill mismatch

• Not only formal education, but also informal education, work experience, age tenure, language skills, computer skills, on-the-job training and the other specific skills can drive a person to be over or under qualified for a job.

• Skill mismatch, in the literature, is a person who feels that his/her skills are above or enough to do a more demanding job than he/she has.

• While the former refers to “over-skilled matched”, the latter is “skill matched”.

Determinants of mismatch

• The possible sources of mismatch are following:• Tenure• Gender• Age• College education• Experience• On-the-job training• Occupational choice

Wages and Mismatch

• Empirical studies claim that over-educated people who have higher education level than their job required earn less than those who are matched with same level, but more than those who are their co-workers.

• Conversely, under-educated people who have lower education level than their job is required earn more than those who are matched with same level, but less than their co-workers.

• Some studies have showed that education mismatch has more negative impact on wages than skill mismatch has.

Job Satisfaction and Mismatch

• In contrast to relationship between mismatch and wages, effect of skill mismatch on satisfaction greater than the education mismatch.

• If one reviews of the literature about impact of both mismatches on job satisfaction, he or she will notice that concepts named as genuine and apparent mismatch were developed.

• While former refers to people who are over skilled or educated than required and have wage penalties, low satisfaction level, latter point out to people who have similar characteristics with former but they are satisfied.

Job Satisfaction and Mismatch

• While a lot of studies empirically confirm the genuine mismatch case, Guinness and Sloane (2011) concluded that overeducated men tend to be apparent mismatch among UK graduates.

Survey Design

The data will be collected from the surveys which is going to be done by each partner country of the project.

A minimum of 300 surveys have to be delivered from each partner organisation.

Survey

• Demographical questions

Name-Surname, Age, Sex, Marital Status, Annual Income, Country and city of residance, Having a child or not and etc.

• Education descriptive questions

Degree field, how many years of schooling completed, graduating GPA and etc.

• Job descriptive questions

What is your job called, what do you do on your present job, what is your occupation, how long have you been in this occupation

Survey

• Skills descriptive questions

Do you know any foreign language, Did you take any vocational training, Did you participate any kind of project/Erasmus

+project, etc.

• Job satisfaction questions

We are planning to use Minnesota Job Satisfaction Questionnaire ‘ questions to measure the job satisfaction level of the survey participants.

https://docs.google.com/forms/d/1jkXF9YgNv3rHteSvqxEWvqEM25847WrsVctzOabAjoQ/viewform

Calender

• O1-A0: Literature review: done (10 May 2015)

• O1-A1: Preparing Survey Questions: 10 April 2015

• O1-A2: Pilot Surveys: 10 May 2015

• O1-A3: Survey Revision: 10 June 2015

• O1-A4: Conducting Surveys: 10 September 2015

• O1-A5: Data entering: 10 October 2015

• O1-A6: Descriptive analysis: 10 November 2015

• O1-A7: Econometric analysis: 10 April 2016

Thank You

[ Yilmaz Kilicaslan][ykilicaslan@gmail.com]