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Composite leading indicators continue to point to stable growth momentum in the OECD area
This paper studies the association between US long term interest rates and cycles of capital flows to emerging market economies (EMEs). It finds that, indeed, cycles in capital flows to EMEs are linked to global conditions, including global risk aversion and long term interest rates in the United States.
This paper presents a productivity growth measure that explicitly accounts for natural capital as an input factor and for undesirable goods, or “bads”, as an output of the production process.
To strengthen social cohesion, a top government priority, it is essential to address the labour market roots of inequality by breaking down dualism to reduce the share of non-regular workers and to boost the employment ratio toward the government’s 70% target.
A creative economy requires innovation-friendly conditions. Korea’s innovation system should be
improved by upgrading universities and expanding their role in business R&D, while increasing
international collaboration in R&D from its current low level.
OECD annual inflation stable at 2.1% in June 2014
This study analyses the economic rent generated by the exploitation of a non-renewable resource, and the taxation of this rent.
Life is quite good in the United States compared to other OECD countries, thanks to strong economic
growth and technological progress having lifted average income to high levels. Nonetheless, there is
evidence that the benefits from growth have not been sufficiently broad based.
Despite relative affluence, workplace stress is a prominent feature of the US labour market. To the
extent that job stress causes poor health outcomes – either directly through increased blood ressure,
fatigue, muscle pain, etc. or indirectly through increased rates of cigarette smoking – policy to lessen job stress may be appropriate.
Economists have traditionally been very cautious when studying the interaction between employment and health because of the two-way causal relationship between these two variables: health status influences the probability of being employed and, at the same time, working affects the health status.