Household Finances and Social Interaction: Bayesian Analysis of Household Panel Data

We investigate the relationship between social interaction and household finances using the British Household Panel Survey. We explore the relationship between a wide range of aspects of household finances and social interaction, rather than focusing on one particular facet of household finances, such as the holding of stocks and shares. We develop a Bayesian statistical framework to simultaneously explore both sides of the household balance sheet—liabilities and assets. Additionally, we allow the influence of social interaction on household finances to be time dependent, enabling us to model the effects of social interaction from a dynamic perspective. We also develop a two‐part model to jointly investigate the influence of social interaction on the amount of different types of debt and financial assets held conditional on holding the different types of debt and assets. Our analysis suggests that social interaction is associated with households holding larger amounts of debt and assets.     

Long-run selection and the work ethic

That individuals contribute in social dilemma interactions even when contributing is costly is a well-established observation in the experimental literature. Since a contributor is always strictly worse off than a non-contributor the question is raised if an intrinsic motivation to contribute can survive in an evolutionary setting. Applying stochastic evolutionary dynamics we give conditions for equilibria with a positive number of contributors to be selected in the long run.     

China’s regulatory framework for outward foreign direct investment

China has become the world’s third largest outward investor, behind the United States and Japan. A growing body of literature suggests that China’s regulatory framework for outward foreign direct investment (OFDI) is a determinant of the country’s rising OFDI. This article presents a holistic review of that framework, including some possibilities for its improvement. Overall, China’s framework serves two objectives: to help Chinese firms become more competitive internationally and to assist the country in its development effort. In pursuing these objectives, the regulatory framework has moved from restricting, to facilitating, to supporting, to encouraging OFDI, but there are still strong elements of administrative control that make it cumbersome. State-owned enterprises (SOEs) seem to benefit particularly from the current framework when internationalizing through FDI.     

Trade in data services : The international context

This article explores the importance of data services within the service sector, and particularly with regard to international trade in services. International economic agreements have traditionally only dealt with trade in manufactured products and ignored the services, which now make up the largest economic sector. Some international organizations, encouraged particularly by the USA, are beginning to confront the problem of defining an open international framework covering foreign direct investment and trade in services. The national interests of different countries are explored, in the light of their existing data resources and their desire to build them up or be able to access foreign databases.     

The past,present and future of euro area monetary-fiscal interactions

International Economics and Economic Policy - The EU’s Treaties were designed to limit the interaction between fiscal and monetary policies. However, over the last decade, the introduction of...     

More long-term care for better healthcare and vice versa: investigating the mortality effects of interactions between these public sectors

Public healthcare (HC) and long-term care (LTC) sectors coexist in several OECD countries. Economic interactions between these two sectors have been found to occur even in the absence of formal integrated care arrangements. We investigate whether and how interactions between the HC and LTC sectors impact mortality. We analyse data on English local authorities in 2014–15 and employ a sequence of cross-sectional econometric specifications based on instrumental variables to identify the effect that LTC expenditure has on mortality through its interactions with HC services, and vice versa. Our findings suggest that any effect of LTC expenditure on mortality is likely to run through the HC sector by allowing the latter to reallocate resources from less to more effective services. A 10 per cent increase in LTC expenditure per user can indirectly save, on average, about three lives per million individuals. In addition, on top of the known HC direct mortality effects, we find that investing an extra £42 million in the HC sector – equivalent to a 10 per cent increase in HC expenditure per capita for the average local authority – can decrease the use of LTC services, producing around £7.8 million of savings. These can generate mortality effects if invested in services having an impact on mortality.