Returns to schooling in different industries: The case of the Czech Republic
| Název práce v češtině: | Návratnost investic do vzdělávání v různých odvětvích: Případ České republiky |
|---|---|
| Název v anglickém jazyce: | Returns to schooling in different industries: The case of the Czech Republic |
| Klíčová slova: | Návratnost vzdělávání, návratnost školství, Česká republika, lidský kapitál, Mincerova rovnice, OLS regrese, odvětví |
| Klíčová slova anglicky: | Returns to schooling, returns to education, Czech Republic, human capital, Mincer equation, OLS regression, industry |
| Akademický rok vypsání: | 2013/2014 |
| Typ práce: | bakalářská práce |
| Jazyk práce: | angličtina |
| Ústav: | Institut ekonomických studií (23-IES) |
| Vedoucí / školitel: | Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. |
| Řešitel: | skrytý - zadáno vedoucím/školitelem |
| Datum přihlášení: | 04.06.2014 |
| Datum zadání: | 04.06.2014 |
| Datum a čas obhajoby: | 14.06.2016 08:00 |
| Místo konání obhajoby: | IES, m 314 |
| Datum odevzdání elektronické podoby: | 13.05.2016 |
| Datum proběhlé obhajoby: | 14.06.2016 |
| Oponenti: | Mgr. Kristýna Čechová |
| Kontrola URKUND: | |
| Seznam odborné literatury |
| 1. WOOLDRIDGE, Jeffrey M. Introductory econometrics: a modern approach. 4thed. Mason: Thomson/South-Western, c2006,xxi, 890 s. ISBN 9780324581621
2. WOOLDRIDGE, Jeffrey M. Econometric analysis of cross section and panel data. 2nd ed. Cambridge, Mass.: MIT Press, c2010, xxvii, 1064 p. ISBN 02-622-3258-8 3. ALMEIDA, Rita and Pedro CARNEIRO (2009), The return to firm investments in human capital: Labour economics,16 4. Bartel, A. P. (2000), Measuring the Employer's Return on Investments in Training: Evidence from the Literature. Industrial Relations: A Journal of Economy and Society, 39: 502–524. doi: 10.1111/0019-8676.00178 5. Dearden, L., Reed, H. and Van Reenen, J. (2006), The Impact of Training on Productivity and Wages: Evidence from British Panel Data. Oxford Bulletin of Economics and Statistics, 68: 397–421. doi: 10.1111/j.1468-0084.2006.00170.x 6. BARTEL, A. P. (1994), Productivity Gains from the Implementation of Employee Training Programs. Industrial Relations: A Journal of Economy and Society, 33: 411–425. doi: 10.1111/j.1468-232X.1994.tb00349.x 7. ZWICK, T. (2006), The Impact of Training Intensity on Establishment Productivity. Industrial Relations: A Journal of Economy and Society, 45: 26–46. doi: 10.1111/j.1468-232X.2006.00412.x |
| Předběžná náplň práce |
| We sometimes take schooling as something granted. Many of us simply go to school, because it is expected or required from us. Some of us already know what we want to do before making the choice of further education. We expect that further education will help us increase our salary, but is it really so? By how much will our salary increase if we study further? How much our salary differs with respect of our choice of working field?
The main idea of the thesis is to measure whether the achieved education level has an impact on the wage of the given person in different working fields. The area of the working field can be an important issue and can possibly cause high differences on returns of schooling. I will also try to capture those differences and measure how much the returns to schooling differ across working spheres. Together with the achieved education and the working field, I will examine other important variables that may affect wage. I will additionally study the effect of gender, age, status, region differences on the average wage of the individual. In my thesis I will mainly focus on the case of the Czech Republic. Hypothesis: 1. What effect has an additional achieved level of education level on hourly wage? 2. What effect has the choice of working field on hourly wage? 3. How does the effect of additional achieved education level on hourly wage vary in different working fields? 4. What effect has an additional achieved level of education on a self-employed person? 5. How does gender, age, status and living region affect the hourly wage? Methodology: I will use Czech SILC data from the year of 2012 that were collected approximately in May 2013. I will test my hypotheses of returns to schooling and returns to working fields. I will perform an econometric analysis on those cross-sectional data, examining approximately 7000 individuals after eliminating the non-fitting data to my model. I will also provide the reader with statistics from the data, which will show some differences between groups of people based on the variables mentioned above. Outline: 1. Introduction 2. Schooling, working fields, wages and basic data about Czech Republic. 3. Measuring returns to schooling in relation to the working field a. Returns to schooling in general b. Different working fields differences c. Other important factors affecting returns to schooling 4. Comparison to other studies 5. Conclusion |
| Předběžná náplň práce v anglickém jazyce |
| We sometimes take schooling as something granted. Many of us simply go to school, because it is expected or required from us. Some of us already know what we want to do before making the choice of further education. We expect that further education will help us increase our salary, but is it really so? By how much will our salary increase if we study further? How much our salary differs with respect of our choice of working field?
The main idea of the thesis is to measure whether the achieved education level has an impact on the wage of the given person in different working fields. The area of the working field can be an important issue and can possibly cause high differences on returns of schooling. I will also try to capture those differences and measure how much the returns to schooling differ across working spheres. Together with the achieved education and the working field, I will examine other important variables that may affect wage. I will additionally study the effect of gender, age, status, region differences on the average wage of the individual. In my thesis I will mainly focus on the case of the Czech Republic. Hypothesis: 1. What effect has an additional achieved level of education level on hourly wage? 2. What effect has the choice of working field on hourly wage? 3. How does the effect of additional achieved education level on hourly wage vary in different working fields? 4. What effect has an additional achieved level of education on a self-employed person? 5. How does gender, age, status and living region affect the hourly wage? Methodology: I will use Czech SILC data from the year of 2012 that were collected approximately in May 2013. I will test my hypotheses of returns to schooling and returns to working fields. I will perform an econometric analysis on those cross-sectional data, examining approximately 7000 individuals after eliminating the non-fitting data to my model. I will also provide the reader with statistics from the data, which will show some differences between groups of people based on the variables mentioned above. Outline: 1. Introduction 2. Schooling, working fields, wages and basic data about Czech Republic. 3. Measuring returns to schooling in relation to the working field a. Returns to schooling in general b. Different working fields differences c. Other important factors affecting returns to schooling 4. Comparison to other studies 5. Conclusion |