Education and family health care spending

Michael Grossman's seminal work on the demand for health extended the concept of a household production function to the commodity “good health.” In this framework, education represents an “environmental variable” that enhances the monetary returns to investments in health through the use of time and medical care in health production. Using data from the 2004 to 2012 Medical Expenditure Panel Survey (MEPS), we examine the association between parental education and family health care spending in single-mother and two-parent families. We estimate one- and two-part expenditure models for total family health care spending, for specific components of such spending, and also examine the impact of parental education on selected measures of family health. Controlling for family income and health insurance status, we find consistent evidence that parental education beyond 12 years of schooling is associated with increases in family health care spending and with reductions in the likelihood of adverse health conditions.     

Challenges for a broadband service strategy in rural areas: A Romanian case study

Broadband network deployment plays an important part in the strategic policies in Europe to promote growth and innovation in all sectors of the economy in addition to social and territorial cohesion. In compliance with existing community policies, Romanian strategies in this field seek to provide the necessary support for broadband connectivity in rural areas. The goal of this study is to define a rural end-user profile to plan the most appropriate broadband service strategy from both a technical and a marketing perspective. Our empirical research involves an exploratory survey conducted in rural areas in northwestern Romania (n=1040 respondents). The findings reveal low levels of customer satisfaction and users more interested in data transfer than voice or video applications. Given this rural user profile, simulations of network traffic were conducted. The simulation results suggest that WLANs are the most suitable solution for the “last mile” broadband segment.     

Effects of subsidies in Russian dairy farming

This study develops a microeconometric model of specialized dairy farms in the Moscow region using panel data over the period 1995–2001. The model is used to analyze the role of subsidies on profit as well as input and output allocation. Theoretical conditions for short‐term profit maximization are not rejected by the data. Differences between farms allow for a fixed‐effect specification. The dairy producers in the region demonstrate a low responsiveness to market signals, but technology change becomes important. Labor, land, and livestock had low shadow prices. Although subsidies have a distorting effect on the input–output mix, this study shows they relieve the credit constraints on dairy farms and have an important positive influence on farm profit.     

Towards a General Theory of Good-Deal Bounds*

We consider an incomplete market in the form of a multidimensional Markovian factor model, driven by a general marked point process (representing discrete jump events), as well as by a standard multidimensional Wiener process. Within this framework, we study arbitrage-free good-deal pricing bounds for derivative assets, thereby extending the results by Cochrane and Saá Requejo (2000) to the point process case, while, at the same time, obtaining a radical simplification of the theory. To illustrate, we present numerical results for the classic Merton jump-diffusion model. As a by-product of the general theory, we derive extended Hansen-Jagannathan bounds for the Sharpe Ratio process in the point process setting. *We gratefully acknowledge financial support from the Jan Wallander and Tom Hedelius foundation. We thank Anders Forsgren, Krister Svanberg, and Jan Kallsen for a number of very helpful comments. We are very grateful to Mathias Stolpe for providing us with the optimization code used in our numerical example. A number of very helpful comments from the editor and an anonymous referee has greatly improved the paper.     

THE FUNDING OF TRADITIONAL ORGANISED CRIME IN RUSSIA

The changed economic and political situation in Russia since the 1990s brought about a qualitative transformation of Russian organised crime, particularly in organisational and behavioural patterns. In particular, a pronounced shift from violent crime towards economic crime is being observed. Criminals try to establish and exercise control over legitimate businesses via corrupt politicians, local authorities and/or law enforcement officials. A tendency towards the consolidation of criminal groups within given territories is also discernible, whilst there are signs of increased interregional integration among different criminal organisations.     

ON FINITE DIMENSIONAL REALIZATIONS OF TWO-COUNTRY INTEREST RATE MODELS

This paper explores how consistent two-dimensional families of forward rate curves can be constructed on an international market. Applying the approach in Björk and Christenssen (1999) and Björk and Svensson (2001) , we study when a system of inherently infinite dimensional domestic and foreign forward rate processes in a two-country economy with spot (forward) exchange rate possesses finite dimensional realizations. In the system with the forward exchange rate, the forward interest rate equations are supplemented by a third infinite dimensional stochastic differential equation representing the forward exchange rate dynamics. We construct and fit consistent families to observed Euro and USD yields as well as the forward (spot) EUR/USD exchange rate.     

The role of data limitations,seasonality and frequency in asset pricing models

We demonstrate that the estimates of the Capital Asset Pricing Model (CAPM) parameters significantly differ across samples, which are based on different days of the week (representing different seasons). Our evidence suggests that the “noise” in the data is not an issue. We also show that parameter differences for mixed samples, which contain information on different seasons, are too small to distort statistical analysis. This is so because parameter estimates converge to some values (but not necessarily to the true values) for high frequencies or as the sample size becomes large. Our evidence suggests a possibility that the CAPM may hold empirically if seasonality in the parameters of the population model are taken into consideration.     

Risk assessment for uncertain cash flows: model ambiguity, discounting ambiguity, and the role of bubbles

We study the risk assessment of uncertain cash flows in terms of dynamic convex risk measures for processes as introduced in Cheridito et al. (Electron. J. Probab. 11(3):57–106, 2006). These risk measures take into account not only the amounts but also the timing of a cash flow. We discuss their robust representation in terms of suitably penalised probability measures on the optional σ-field. This yields an explicit analysis both of model and discounting ambiguity. We focus on supermartingale criteria for time consistency. In particular, we show how “bubbles” may appear in the dynamic penalisation, and how they cause a breakdown of asymptotic safety of the risk assessment procedure.     

Financial Misrepresentation and Its Impact on Rivals

This paper examines how the announcement of an accusation of fraudulent financial misrepresentation affects industry rivals of the accused firm. Consistent with the importance of the industry competition effect, we find that rivals in less competitive industries benefit from the event. However, in competitive industries, the information spillover effect dominates the competition effect, resulting in negative returns to rival shareholders following the event. The spillover effect increases in importance with the severity of the accusation and is more important for opaque rivals and for rivals that had positive stock price reactions to past positive earnings surprises of the accused firm.