CHILD MENTAL HEALTH AND EDUCATIONAL ATTAINMENT: MULTIPLE OBSERVERS AND THE MEASUREMENT ERROR PROBLEM

We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental health and educational progress. Our contribution is to use unique UK survey data that contain (potentially biased) assessments of each child's mental state from three observers (parent, teacher and child), together with expert (quasi‐)diagnoses, using an assumption of optimal diagnostic behaviour to adjust for reporting bias. We use three alternative restrictions to identify the effect of mental disorders on educational progress. Maternal education and mental health, family income and major adverse life events are all significant in explaining child mental health, and child mental health is found to have a large influence on educational progress. Our preferred estimate is that a one‐standard‐deviation reduction in ‘true’ latent child mental health leads to a 2‐ to 5‐month loss in educational progress. We also find a strong tendency for observers to understate the problems of older children and adolescents compared to expert diagnosis. © 2015 The Authors. Journal of Applied Econometrics published by John Wiley & Sons, Ltd.     

HOUSEHOLD INCOME PLUS HOUSEHOLD PRODUCTION: THE DISTRIBUTION OF EXTENDED INCOME IN THE U.K.

This paper provides new estimates of the distribution of extended income amongst non-elderly, one-family households in the U.K. by combining household money income data and valuations of household production time. Extended income is substantially more equal than money income and extending the income definition changes income relativities significantly between families with and without earners and between married couple families and singles.     

Regional and Global Responses to the Asian Crisis

This paper examines how economic policy-making changed as a result of the Asian crisis of 1997–1998, in the countries affected, in the region, and at the global level. It is perhaps surprising how little change has occurred in the broad approach to economic policy, but there is a much greater awareness of the vulnerabilities posed by large international capital flows. The broad tenets of the Washington Consensus, with its market-based policies, remain in place, but there is a recognition that well-functioning markets require complex institutions, rules, and procedures, and that these take time and effort to develop. Most of this institutional development will have to take place at the national level, but regional arrangements can offer support, and multilateral agencies, such as the International Monetary Fund, have learned from the crisis.     

Using spatial microsimulation to account for demographic and spatial factors in environmental benefit transfer

This paper presents a simulation-based modelling approach for estimating total visitor numbers and amenity values for prospective non-priced open-access outdoor recreation sites. To begin, the geographic extent of the market for recreation at a policy site is estimated using data from a similar study site. The population residing within this geographic area is simulated using a spatial microsimulation model and GIS techniques and an individual-level ‘visitor arrival function’ is then transferred across this simulated population. This allows the latent demand for visits to the policy site by each simulated individual to be predicted and summed, providing an estimate of the total potential demand for recreation at the site. Combining this with an economic value measure of a visit provides an estimate of the potential amenity value of the policy site. The approach is applied to Moyode Wood, a small-scale forest in the West of Ireland, and estimates the potential total economic value of recreation at €0.4 million for the site. The research represents the first time that spatial microsimulation has been used in environmental benefit transfer and shows how it can be used to control for differences in demographic and spatial factors between study and policy sites. It also demonstrates how individual-level single-site travel cost models estimated using on-site survey data can be used to predict demand at alternative policy sites.     

Who's in charge of the central city? The conflict between efficiency and equity in the design of a metropolitan area

A circular metropolitan area consists of a central city surrounded by a suburb. Households sort over the two jurisdictions based on public service levels and their costs of commuting to the metropolitan center. Using numerical simulations, we show that (1) there typically exist two equilibria: one in which the poor form the voting majority in the central city and the other in which the rich form the majority in the central city; (2) there is an efficiency vs. equity trade-off as to which equilibrium is preferred; and (3) if the central city contains only poor households, equity favors expanding the central city to include rich households. The third result arises not because of a fiscal subsidy from rich to poor households induced by a property tax but rather because of a change in house price capitalization.     

Public Investment, Congestion, and Private Capital Accumulation

This paper analyses the impact of public investment on the dynamics of private capital formation in an intertemporal optimising market-clearing framework. The key feature characterising the analysis is that the public good is treated as a durable capital good, subject to congestion. We show how in the presence of congestion the effect of government investment on private capital formation involves a tradeoff between the degree of substitution between private and public capital in production and the degree of congestion. Both lump-sum and distortionary tax financing are considered, with this tradeoff being tightened in the latter case     

Ambidexterity and Knowledge Strategy in Major Projects: A Framework and Illustrative Case Study

We develop a framework to analyze the multi‐level knowledge requirements of complex, major projects in terms of ambidexterity—the ability to exploit (refine existing knowledge) and explore (develop new knowledge). This is an important theme within the wider literature, yet practical operationalization methods for managers and researchers are not evident. We demonstrate the ambidexterity view through an illustrative case study of telecommunications delivery for the London 2012 Olympic Games and show how these concepts can be used to create an effective knowledge strategy. We offer a structure for the analysis of knowledge utilization in projects.     

Nonparametric function estimation subject to monotonicity, convexity and other shape constraints

This paper uses free-knot and fixed-knot regression splines in a Bayesian context to develop methods for the nonparametric estimation of functions subject to shape constraints in models with log-concave likelihood functions. The shape constraints we consider include monotonicity, convexity and functions with a single minimum. A computationally efficient MCMC sampling algorithm is developed that converges faster than previous methods for non-Gaussian models. Simulation results indicate the monotonically constrained function estimates have good small sample properties relative to (i) unconstrained function estimates, and (ii) function estimates obtained from other constrained estimation methods when such methods exist. Also, asymptotic results show the methodology provides consistent estimates for a large class of smooth functions. Two detailed illustrations exemplify the ideas.