E01 - Measurement and Data on National Income and Product Accounts and Wealth; Environmental AccountsReturn

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A Historical View on the Development of Czech Economy from 1970

Kristýna Vltavská, Jaroslav Sixta

Prague Economic Papers 2015, 24(1):105-122 | DOI: 10.18267/j.pep.503

The paper describes the changes in Czech economy in the period between 1970 and 2010 from the macroeconomic perspective. It is based on the detailed study of sources and uses of gross domestic product with respect to labour inputs. Used data sources come from recently published historical data on GDP combined with the data of oicial statistics. The paper should provide an analysis of the main determinants of growth based on output and expenditure approach to GDP and employment including the industrial analysis of labour productivity. In this paper labour productivity is estimated as the ratio of gross value added in the constant prices over the input used. As we have the data of total employment in full time equivalent we used them as the only possible labour input for the productivity analysis for the period in question.

Are TIMSS Scores Suitable Proxies for Nations' Human Capital?

Jiří Mazurek

Prague Economic Papers 2014, 23(2):181-197 | DOI: 10.18267/j.pep.479

To express human capital of nations proxies, such as literacy rates, school-enrollment rates or years of schooling are used. The aim of this article is to explore another possibility: to relate country's human capital to its outcome in TIMSS (The Third International Mathematics and Science Study), large international study of students' achievements in mathematics and science literacy from 1995. The relationship between TIMSS scores and GDP growth during 2000-2010 and GDP per capita in 2010 is examined and TIMSS are compared with other proxies of human capital, namely primary, secondary and tertiary school-enrollment rates from 1990, 1995 and 2000. The main result is that the correlation between TIMSS scores and GDP per capita in 2010 is statistically significant at ? = 0.01 level, and this relationship is stronger than that for school-enrollment rates. Also, linear models explaining GDP growth with TIMSS were found more statistically significant than models without TIMSS. These results indicate that TIMSS scores might be considered a suitable proxy for nations' human capital after one or one and a half decade.