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This paper examines recent changes in the structure of Argentine exports and the implications for future growth. The authors find that the current export structure of Argentina is not conducive to future growth because it is dominated by low-productivity goods that tend to be exported by low-income countries. The productivity content of Argentine exports has increased recently although, as of 2004, these changes have been relatively minor. The authors identify products with characteristics similar to those currently exported by Argentina and which are more likely to foster growth because they would shift the structure of exports more the efficiency frontier. Those products include chemicals and primary products with some degree of value added, including partly processed meat, fish and grains. If economic growth is to be fostered by developing new export products and by increasing the value added of existing exports, there will be a need for sector-specific analysis to address possible market failures. The analysis should focus on issues such as the provision of public goods needed for production (including infrastructure, but also complex intangibles such as sector-specific legislation), possible impediments to effective coordination, sector-specific and economy wide externalities, or barriers to information. This last source of potential market failure is critical to a successful policy framework for exports and growth.
Agribusiness and Markets --- Competitiveness --- Devaluation --- Economic growth --- Economic Theory and Research --- Export growth --- Exports --- Externalities --- GDP --- Income --- Industry --- Labor Policies --- Law and Development --- Macroeconomics and Economic Growth --- Productivity --- Rural Development --- Social Protections and Labor --- Tax Law --- Value added --- Water and Industry --- Water Resources
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Evidence from developed country data suggests that cognitive and non-cognitive skills contribute to improved labor market outcomes. This paper tests this hypothesis in a developing country by using an individual-level data set from Peru that incorporates modules to measure cognitive and non-cognitive skills. The paper estimates a structural latent model with unobserved heterogeneity to capture full ability rather than just measured skill. It also applies standard ordinary least squares techniques for comparison. The analysis confirms that cognitive and non-cognitive skills are positively correlated with a range of labor market outcomes in Peru. In particular, cognitive skills positively correlate with wages and the probability of being a wage worker, white-collar, and formal worker, with verbal fluency and numeric ability playing particularly strong roles. The results are robust to methodology. The patterns are less uniform for non-cognitive skills. For instance, perseverance of effort (grit) emerges strongly for most outcomes regardless of methodology. However, plasticity-an aggregation of openness to experience and emotional stability-is only correlated with employment, and only when using the structural latent model. The ordinary least squares method also finds that the disaggregated non-cognitive skills of kindness, cooperation, emotional stability, and openness to experience emerge significantly, mostly for the wage estimates. The different results derived from the ordinary least squares and the structural model with latent skills suggest strong measurement bias in most non-cognitive skills measurement. These findings, although only correlational because of the use of a single cross-section, suggest that recent efforts by the Peruvian government to incorporate non-cognitive skill development into the school curriculum are justified.
Access & Equity in Basic Education --- Cognitive --- Education --- Education for All --- Educational Sciences --- Effective Schools & Teachers --- Employment --- Latent Skills --- Non-Cognitive Skills --- Primary Education --- Schooling --- Structural Model --- Wages
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This paper examines recent changes in the structure of Argentine exports and the implications for future growth. The authors find that the current export structure of Argentina is not conducive to future growth because it is dominated by low-productivity goods that tend to be exported by low-income countries. The productivity content of Argentine exports has increased recently although, as of 2004, these changes have been relatively minor. The authors identify products with characteristics similar to those currently exported by Argentina and which are more likely to foster growth because they would shift the structure of exports more the efficiency frontier. Those products include chemicals and primary products with some degree of value added, including partly processed meat, fish and grains. If economic growth is to be fostered by developing new export products and by increasing the value added of existing exports, there will be a need for sector-specific analysis to address possible market failures. The analysis should focus on issues such as the provision of public goods needed for production (including infrastructure, but also complex intangibles such as sector-specific legislation), possible impediments to effective coordination, sector-specific and economy wide externalities, or barriers to information. This last source of potential market failure is critical to a successful policy framework for exports and growth.
Agribusiness and Markets --- Competitiveness --- Devaluation --- Economic growth --- Economic Theory and Research --- Export growth --- Exports --- Externalities --- GDP --- Income --- Industry --- Labor Policies --- Law and Development --- Macroeconomics and Economic Growth --- Productivity --- Rural Development --- Social Protections and Labor --- Tax Law --- Value added --- Water and Industry --- Water Resources
Choose an application
Evidence from developed country data suggests that cognitive and non-cognitive skills contribute to improved labor market outcomes. This paper tests this hypothesis in a developing country by using an individual-level data set from Peru that incorporates modules to measure cognitive and non-cognitive skills. The paper estimates a structural latent model with unobserved heterogeneity to capture full ability rather than just measured skill. It also applies standard ordinary least squares techniques for comparison. The analysis confirms that cognitive and non-cognitive skills are positively correlated with a range of labor market outcomes in Peru. In particular, cognitive skills positively correlate with wages and the probability of being a wage worker, white-collar, and formal worker, with verbal fluency and numeric ability playing particularly strong roles. The results are robust to methodology. The patterns are less uniform for non-cognitive skills. For instance, perseverance of effort (grit) emerges strongly for most outcomes regardless of methodology. However, plasticity-an aggregation of openness to experience and emotional stability-is only correlated with employment, and only when using the structural latent model. The ordinary least squares method also finds that the disaggregated non-cognitive skills of kindness, cooperation, emotional stability, and openness to experience emerge significantly, mostly for the wage estimates. The different results derived from the ordinary least squares and the structural model with latent skills suggest strong measurement bias in most non-cognitive skills measurement. These findings, although only correlational because of the use of a single cross-section, suggest that recent efforts by the Peruvian government to incorporate non-cognitive skill development into the school curriculum are justified.
Access & Equity in Basic Education --- Cognitive --- Education --- Education for All --- Educational Sciences --- Effective Schools & Teachers --- Employment --- Latent Skills --- Non-Cognitive Skills --- Primary Education --- Schooling --- Structural Model --- Wages
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