Risk adjustment for hospital use using social security data: cross sectional small area analysis

Objectives: To identify demographic and socioeconomic determinants of need for acute hospital treatment at small area level. To establish whether there is a relation between poverty and use of inpatient services. To devise a risk adjustment formula for distributing public funds for hospital services using, as far as possible, variables that can be updated between censuses. Design: Cross sectional analysis. Spatial interactive modelling was used to quantify the proximity of the population to health service facilities. Two stage weighted least squares regression was used to model use against supply of hospital and community services and a wide range of potential needs drivers including health, socioeconomic census variables, uptake of income support and family credit, and religious denomination. Setting: Northern Ireland. Main outcome measure: Intensity of use of inpatient services. Results: After endogeneity of supply and use was taken into account, a statistical model was produced that predicted use based on five variables: income support, family credit, elderly people living alone, all ages standardised mortality ratio, and low birth weight. The main effect of the formula produced is to move resources from urban to rural areas. Conclusions: This work has produced a population risk adjustment formula for acute hospital treatment in which four of the five variables can be updated annually rather than relying on census derived data. Inclusion of the social security data makes a substantial difference to the model and to the results produced by the formula.

Perceptions and reality: Economic voting at the 2004 European Parliament elections

One of the most influential explanations of voting behaviour is based on economic factors: when the economy is doing well, voters reward the incumbent government and when the economy is doing badly, voters punish the incumbent. This reward-punishment model is thought to be particularly appropriate at second order contests such as European Parliament elections. Yet operationalising this economic voting model using citizens' perceptions of economic performance may suffer from endogeneity problems if citizens' perceptions are in fact a function of their party preferences rather than being a cause of their party preferences. Thus, this article models a 'strict' version of economic voting in which they purge citizens' economic perceptions of partisan effects and only use as a predictor of voting that portion of citizens' economic perceptions that is caused by the real world economy. Using data on voting at the 2004 European Parliament elections for 23 European Union electorates, the article finds some, but limited, evidence for economic voting that is dependent on both voter sophistication and clarity of responsibility for the economy within any country. First, only politically sophisticated voters' subjective economic assessments are in fact grounded in economic reality. Second, the portion of subjective economic assessments that is a function of the real world economy is a significant predictor of voting only in single party government contexts where there can be a clear attribution of responsibility. For coalition government contexts, the article finds essentially no impact of the real economy via economic perceptions on vote choice, at least at European Parliament elections.

Are Good Industrial Relations Good for the Economy?

Recent US microeconomic analysis indicates that good industrial relations might improve firm performance. Of late, it has also been claimed that the benefits of industrial relations quality - proxied inversely by a strikes variable - could also extend to the macroeconomy. Using cross-country data, we find that, independent of other labor market institutions, a lower strike volume is associated with lower unemployment. Although there is a separate line of causation running from unemployment to strikes, our analysis suggests that this is not dominant. That said, support for the notion that macro performance owes something to good industrial relations is, however, weakened once we formally control for strike endogeneity.

Geographical Influences on Long-Run Development

We show that geographical factors influence long-run per capita income directly, as well as indirectly, through the quality of institutions. The direct influence of geography on per capita incomes is robust to the inclusion of a sub-Saharan Africa dummy and other tests. We obtain our results by replacing the usual instrument (settlers’ mortality (SM)) by stronger instruments for institutional quality (latitude, the share of the country in the temperate climatic zone). We also provide evidence that SM suffers from endogeneity with respect to institutional quality for early colonies, because of its dependence on nineteenth-century mortality data.

Information disclosure and depositor discipline in the Chinese banking sector

We investigate the relationship between information disclosure and depositor behaviour in the Chinese banking sector. Specifically, we enquire whether enhanced information disclosure enables investors to more effectively infer a banking institution's risk profile, thereby influencing their deposit decisions. Utilising an unbalanced panel, incorporating financial data from 169 Chinese banks over the 1998–2009 period, we employ generalised-method-of-moments (GMM) estimation procedures to control for potential endogeneity, unobserved heterogeneity, and persistence in the dependent variable. We uncover evidence that: (i) the growth rate of deposits is sensitive to bank fundamentals after controlling for macroeconomic factors, diversity in ownership structure, and government intervention; (ii) a bank publicly disclosing more transparent information in its financial reports, is more likely to experience growth in its deposit base; and (iii) banks characterised by high information transparency, well-capitalised and adopted international accounting standards, are more able to attract funds by offering higher interest rates.

Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland

Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with advanced meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and payment plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of 11-17%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. The advanced metering program delivers reasonably cost-effective reductions in carbon dioxide emissions, even under the most conservative usage reduction scenarios.

Financial literacy and over-indebtedness in low-income households

Financial literacy can explain a significant proportion of wealth inequality. Among the key components of financial literacy are numeracy and money management skills. Our study examines the relative importance of these components in the determination of consumer debt and household net worth among credit union members in socially disadvantaged areas. The main finding from our analysis is that money management skills are important determinants of financial outcomes but that numeracy has almost no role to play. This result adds to a recent US-based behavioural finance literature on the role of attention and planning in consumer finance. Findings are found to be robust when the sample is reduced to only those who have a clear role in household financial decision-making and also when controlling for potential endogeneity. Our findings have policy implications in the UK and elsewhere as credit unions across the world are important players in national financial literacy strategies.

Human capital and the quantity–quality trade-off during the demographic transition

<p>This paper provides an empirical test of the child quantity–quality (QQ) trade-off predicted by unified growth theory. Using individual census returns from the 1911 Irish census, we examine whether children who attended school were from smaller families—as predicted by a standard QQ model. To measure causal effects, we use a selection of models robust to endogeneity concerns which we validate for this application using an Empirical Monte Carlo analysis. Our results show that a child remaining in school between the ages of 14 and 16 caused up to a 27 % reduction in fertility. Our results are robust to alternative estimation techniques with different modeling assumptions, sample selection, and alternative definitions of fertility. These findings highlight the importance of the demographic transition as a mechanism which underpinned the expansion in human capital witnessed in Western economies during the twentieth century.</p>