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  • 1
    Online Resource
    Online Resource
    Human Capital Accumulation at Work : Estimates for the World and Implications for Development (2021)
    Washington, D.C. :The World Bank,
    Details
    UID:
    almafu_9960070280402883
    Format: 1 online resource (44 pages)
    Series Statement: Policy research working papers.
    Content: In this paper, the authors: (i) study wage-experience profiles and obtain measures of returns to potential work experience using data from about 24 million individuals in 1,084 household surveys and census samples across 145 countries; (ii) show that returns to work experience are strongly correlated with economic development-workers in developed countries appear to accumulate twice more human capital at work than workers in developing countries; (iii) use a simple accounting framework to find that the contribution of work experience to human capital accumulation and economic development might be as important as the contribution of education itself; and (iv) employ panel regressions to investigate how changes in the returns over time correlate with several factors such as economic recessions, transitions, and human capital stocks.
    Language: English
    DOI: 10.1596/1813-9450-9786
    URL: Deutschlandweit zugänglich
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Fulltext
    FU Berlin
    UB Potsdam
    EUV Frankfurt
    HTW Berlin
    Charité
    MPI Bildungsforschung
  • 2
    Online Resource
    Online Resource
    Scars of Pandemics from Lost Schooling and Experience : Aggregate Implications and Gender Differences through the Lens of COVID-19 (2022)
    Washington, D.C. :The World Bank,
    Details
    UID:
    almafu_9960787151802883
    Format: 1 online resource (68 pages).
    Series Statement: Policy research working papers
    Content: Pandemic shocks disrupt human capital accumulation through schooling and work experience. This study quantifies the long-term economic impact of these disruptions in the case of COVID-19, focusing on countries at different levels of development and using returns to education and experience by college status that are globally estimated using 1,084 household surveys across 145 countries. The results show that both lost schooling and experience contribute to significant losses in global learning and output. Developed countries incur greater losses than developing countries, because they have more schooling to start with and higher returns to experience. The returns to education and experience are also separately estimated for men and women, to explore the differential effects by gender of the COVID-19 pandemic. Surprisingly, while the study uncovers gender differences in returns to education and schooling, gender differences in the impact of COVID-19 are small and short-lived, with a loss in female relative income of only 2.5 percent or less, mainly due to the greater severity of the employment shock on impact. These findings might challenge some of the ongoing narratives in policy circles. The methodology employed in this study is easily implementable for future pandemics.
    Language: English
    URL: Deutschlandweit zugänglich
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Fulltext
    UB Potsdam
    EUV Frankfurt
    HTW Berlin
    Charité
    MPI Bildungsforschung
  • 3
    Online Resource
    Online Resource
    Technology and Finance / (2008)
    Washington, D.C. :International Monetary Fund,
    Details
    UID:
    almafu_9958124720002883
    Format: 1 online resource (44 p.)
    Edition: 1st ed.
    ISBN: 1-4623-0534-2 , 1-4527-8843-X , 1-282-84133-5 , 1-4518-7040-X , 9786612841330
    Series Statement: IMF Working Papers
    Content: The benefits from financial development are known to vary across industries. However, no systematic effort has been made to determine the technological characteristics that are shared by industries that tend to grow relatively faster in more financially developed countries. This paper explores a range of technological characteristics that might underpin differences across industries in the need or the ability to raise external funding. The main finding is that industries that grow faster in more financially developed countries tend to display greater R&D intensity or investment lumpiness, indicating that well-functioning financial markets direct resources towards industries that grow by performing R&D.
    Note: Description based upon print version of record. , Contents; I. Introduction; II. Theories of Finance and Technology; A. Financial Development and the Ability to Raise Funds; B. Financial Development and the Need to Raise Funds; C. Financial Development and Industry Growth; D. Technology; Tables; 1. Production Technology: Need for External Finance vs. Ability to Raise External Funds; III. Data; A. Finance Dependence; B. Technological Measures; C. Financial Development Measures; IV. Empirical Relationships between Technological Measures and EFD; V. Technology, Financial Development and Industry Growth; VI. Persistence and Robustness , A. 1970's and 1990's B. Other Measures of Financial Development; C. Endogeneity of Financial Development; D. Does Firm Age Matter?; Figure; 1. EFD, LMP and RND over the Firm Lifecycle; VII. Concluding Remarks; 2A. Industry Classification and Technological Measures; 2B. Financial Development Measures; 3. Correlations Across Decades; 4. Correlations Among Technological Measures; 5. Correlations of Technological Measures with EFD; 6. Cross-country Industry Growth Regressions with CRE as a Measure of Financial Development; 7. The "Horse Race" between EFD, LMP and RND , 8. Cross-country Industry Growth Regressions with CAP as a Measure of Financial Development... 9. Cross-country Industry Growth Regressions with FOR as a Measure of Financial Development; 10. Cross-country Industry Growth Regressions with Lagged Financial Development Measures; 11. Cross-country Industry Growth Regressions with Instrumental Variables; 12. Correlations between RND, EFD, LMP for Young and Mature Firms; 13. Cross-country Industry Growth Regressions for Different Age Groups; References , English
    Additional Edition: ISBN 1-4519-1493-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    FU Berlin
    Charité
  • 4
    Online Resource
    Online Resource
    A multi-industry model of growth with financing constraints / (2009)
    [Washington, D.C.] :International Monetary Fund,
    Details
    UID:
    edocfu_9958108305002883
    Format: 52 p. : , ill.
    Edition: 1st ed.
    ISBN: 1-4623-0128-2 , 1-4518-7266-6 , 1-282-84334-6 , 9786612843341 , 1-4519-9029-4
    Series Statement: IMF working paper ; WP/09/119
    Content: This paper develops a multi-industry growth model in which firms require external funds to conduct productivity-enhancing R&D. The cost of research is industry-specific. The tightness of financing constraints depends on the level of financial development and on industry characteristics. Over time, a financially constrained economy may converge to the growth path of a frictionless economy, so long as an industry with the fastest expanding technological frontier does not permanently fall behind due to low R&D. The model’s industry dynamics map into a differences-in-differences regression, in which industry growth depends on the interaction between financial development and industry level R&D intensity.
    Note: Bibliographic Level Mode of Issuance: Monograph , Intro -- Contents -- I. Introduction -- II. Economic Environment -- A. Economic agents and firms -- B. Production -- C. Research -- D. Technological Frontier -- E. Aggregate equilibrium conditions -- III. Model Equilibrium -- A. Equilibrium research and productivity -- B. Industry growth -- C. Aggregate growth -- D. Industry growth patterns and structural change -- IV. Empirical analysis -- A. Decomposing industry growth -- B. Country data -- C. Industry data -- D. Empirical validity of model assumptions -- E. Cross-country industry growth regressions -- V. Concluding Remarks -- References -- Figures -- 1. Industry productivity dynamics, Region 1 -- 2. Industry productivity dynamics, Region 2 -- 3. Industry productivity dynamics, Region 3 -- 4. Productivity dynamics for different values of the borrowing limit -- 5. Structural change in a model economy with three industries -- 6. Patterns of industrial specialization along the growth path -- Tables -- 1. Regression of industry variables on RND at the firm level -- 2. Correlations between different industry measures -- 3. Interaction of R& -- D intensity and Ability measures with financial development in country-industry growth regressions. -- 4. Interaction of R& -- D intensity with financial development in country-industry growth regressions. -- 5. Interaction of Ability with financial development in country-industry growth regressions. , English
    Additional Edition: ISBN 1-4519-1696-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    FU Berlin
    Charité
  • 5
    Online Resource
    Online Resource
    A Multi-industry Model of Growth with Financing Constraints / (2009)
    Washington, D.C. :International Monetary Fund,
    Details
    UID:
    almafu_9958108305002883
    Format: 52 p. : , ill.
    Edition: 1st ed.
    ISBN: 1-4623-0128-2 , 1-4518-7266-6 , 1-282-84334-6 , 9786612843341 , 1-4519-9029-4
    Series Statement: IMF Working Papers
    Content: This paper develops a multi-industry growth model in which firms require external funds to conduct productivity-enhancing R&D. The cost of research is industry-specific. The tightness of financing constraints depends on the level of financial development and on industry characteristics. Over time, a financially constrained economy may converge to the growth path of a frictionless economy, so long as an industry with the fastest expanding technological frontier does not permanently fall behind due to low R&D. The model’s industry dynamics map into a differences-in-differences regression, in which industry growth depends on the interaction between financial development and industry level R&D intensity.
    Note: Bibliographic Level Mode of Issuance: Monograph , Intro -- Contents -- I. Introduction -- II. Economic Environment -- A. Economic agents and firms -- B. Production -- C. Research -- D. Technological Frontier -- E. Aggregate equilibrium conditions -- III. Model Equilibrium -- A. Equilibrium research and productivity -- B. Industry growth -- C. Aggregate growth -- D. Industry growth patterns and structural change -- IV. Empirical analysis -- A. Decomposing industry growth -- B. Country data -- C. Industry data -- D. Empirical validity of model assumptions -- E. Cross-country industry growth regressions -- V. Concluding Remarks -- References -- Figures -- 1. Industry productivity dynamics, Region 1 -- 2. Industry productivity dynamics, Region 2 -- 3. Industry productivity dynamics, Region 3 -- 4. Productivity dynamics for different values of the borrowing limit -- 5. Structural change in a model economy with three industries -- 6. Patterns of industrial specialization along the growth path -- Tables -- 1. Regression of industry variables on RND at the firm level -- 2. Correlations between different industry measures -- 3. Interaction of R& -- D intensity and Ability measures with financial development in country-industry growth regressions. -- 4. Interaction of R& -- D intensity with financial development in country-industry growth regressions. -- 5. Interaction of Ability with financial development in country-industry growth regressions. , English
    Additional Edition: ISBN 1-4519-1696-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    FU Berlin
  • 6
    Online Resource
    Online Resource
    Human Capital Accumulation at Work : Estimates for the World and Implications for Development (2021)
    Washington, D.C. :The World Bank,
    Details
    UID:
    edoccha_9960070280402883
    Format: 1 online resource (44 pages)
    Series Statement: Policy research working papers.
    Content: In this paper, the authors: (i) study wage-experience profiles and obtain measures of returns to potential work experience using data from about 24 million individuals in 1,084 household surveys and census samples across 145 countries; (ii) show that returns to work experience are strongly correlated with economic development-workers in developed countries appear to accumulate twice more human capital at work than workers in developing countries; (iii) use a simple accounting framework to find that the contribution of work experience to human capital accumulation and economic development might be as important as the contribution of education itself; and (iv) employ panel regressions to investigate how changes in the returns over time correlate with several factors such as economic recessions, transitions, and human capital stocks.
    Language: English
    DOI: 10.1596/1813-9450-9786
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    Charité
  • 7
    Online Resource
    Online Resource
    Human Capital Accumulation at Work : Estimates for the World and Implications for Development (2021)
    Washington, D.C. :The World Bank,
    Details
    UID:
    edocfu_9960070280402883
    Format: 1 online resource (44 pages)
    Series Statement: Policy research working papers.
    Content: In this paper, the authors: (i) study wage-experience profiles and obtain measures of returns to potential work experience using data from about 24 million individuals in 1,084 household surveys and census samples across 145 countries; (ii) show that returns to work experience are strongly correlated with economic development-workers in developed countries appear to accumulate twice more human capital at work than workers in developing countries; (iii) use a simple accounting framework to find that the contribution of work experience to human capital accumulation and economic development might be as important as the contribution of education itself; and (iv) employ panel regressions to investigate how changes in the returns over time correlate with several factors such as economic recessions, transitions, and human capital stocks.
    Language: English
    DOI: 10.1596/1813-9450-9786
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    FU Berlin
  • 8
    Online Resource
    Online Resource
    Scars of Pandemics from Lost Schooling and Experience : Aggregate Implications and Gender Differences through the Lens of COVID-19 (2022)
    Washington, D.C. :The World Bank,
    Details
    UID:
    edoccha_9960787151802883
    Format: 1 online resource (68 pages).
    Series Statement: Policy research working papers
    Content: Pandemic shocks disrupt human capital accumulation through schooling and work experience. This study quantifies the long-term economic impact of these disruptions in the case of COVID-19, focusing on countries at different levels of development and using returns to education and experience by college status that are globally estimated using 1,084 household surveys across 145 countries. The results show that both lost schooling and experience contribute to significant losses in global learning and output. Developed countries incur greater losses than developing countries, because they have more schooling to start with and higher returns to experience. The returns to education and experience are also separately estimated for men and women, to explore the differential effects by gender of the COVID-19 pandemic. Surprisingly, while the study uncovers gender differences in returns to education and schooling, gender differences in the impact of COVID-19 are small and short-lived, with a loss in female relative income of only 2.5 percent or less, mainly due to the greater severity of the employment shock on impact. These findings might challenge some of the ongoing narratives in policy circles. The methodology employed in this study is easily implementable for future pandemics.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Charité
  • 9
    Online Resource
    Online Resource
    Scars of Pandemics from Lost Schooling and Experience : Aggregate Implications and Gender Differences through the Lens of COVID-19 (2022)
    Washington :The World Bank,
    Details
    UID:
    edoccha_9961265138602883
    Format: 1 online resource (68 pages).
    Series Statement: Policy research working papers
    Content: Pandemic shocks disrupt human capital accumulation through schooling and work experience. This study quantifies the long-term economic impact of these disruptions in the case of COVID-19, focusing on countries at different levels of development and using returns to education and experience by college status that are globally estimated using 1,084 household surveys across 145 countries. The results show that both lost schooling and experience contribute to significant losses in global learning and output. Developed countries incur greater losses than developing countries, because they have more schooling to start with and higher returns to experience. The returns to education and experience are also separately estimated for men and women, to explore the differential effects by gender of the COVID-19 pandemic. Surprisingly, while the study uncovers gender differences in returns to education and schooling, gender differences in the impact of COVID-19 are small and short-lived, with a loss in female relative income of only 2.5 percent or less, mainly due to the greater severity of the employment shock on impact. These findings might challenge some of the ongoing narratives in policy circles. The methodology employed in this study is easily implementable for future pandemics.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Charité
  • 10
    Online Resource
    Online Resource
    A multi-industry model of growth with financing constraints (2009)
    [Washington, D.C.] :International Monetary Fund,
    Details
    UID:
    almahu_9948319763802882
    Format: 52 p. : , ill.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Series Statement: IMF working paper ; WP/09/119
    Language: English
    Keywords: Electronic books.
    URL: Click to View
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HU Berlin
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