Assessing French nursing home efficiency: An indirect approach via budget-constrained DEA models

In this paper, data envelopment analysis (DEA) techniques are applied to the French nursing home industry in order to address two policy issues. The first involves nursing home size and returns to scale, while the second deals with the potential effects of a change in nursing home reimbursement from a flat rate to one based on the severity of case-mix. To accomplish this, our analysis expands on the existing nursing home literature to analyze technical and allocative efficiency along with budget-constrained models rather than the more common direct input-based distance function. Technical efficiency is evaluated via an indirect output distance function while allocative output efficiency is computed with a cost indirect revenue function. The findings suggest that system-wide efficiency and equity may result from coming reforms since payments would more accurately reflect resource use.     

Revisiting managerial perspectives on dividend policy

We survey managers of Nasdaq firms that consistently pay cash dividends to determine their views about dividend policy, the relationship between dividend policy and value, and four common explanations for paying dividends. The evidence shows that managers stress the importance of maintaining dividend continuity and widely agree that changes in dividends affect firm value. Managers give the strongest support to a signaling explanation for paying dividends, weak to little support for the tax-preference and agency cost explanations, and no support to the bird-in-the-hand explanation. The study provides new evidence about how managers view dividend life cycles and residual dividend policy. The authors would like to thank two anonymous referees for helpful comments and suggestions, and Maheshan Fernando and Sumeet Chawla for providing research assistance.     

Spatial agglomeration and endogenous growth

This paper constructs a dynamic general equilibrium model with spatial interactions in which a human capital externality is the centripetal force towards agglomeration. The resource cost of transportation is, on the other hand, the main centrifugal force, preventing a city from growing unboundedly. A central feature of our analysis is the dynamic interaction between (perpetual) economic growth and (bounded) city growth. We examine the socially optimal and the decentralized growth rates as well as city sizes. In the decentralized environment, individuals under-invest, whereas cities are under-populated. We show how public policies may enable a decentralized city to attain the socially optimal allocation.     

The Risk Structure of Land Markets

Real property as an asset class represents over half of the wealth in the United States. Nevertheless, the structure of risk in real property markets is poorly understood. This paper develops a model of urban and agricultural land prices that integrates spatial and asset pricing theories and characterizes the spatial and temporal risk structure of the land market. Urban land is priced by a CAPM and agricultural land is priced by a real option to convert into urban land. We show that the price of land awaiting conversion increases with the growth rate of urban rents and unsystematic risk but decreases with risk aversion. However, it may be increasing or decreasing in systematic risk. The free boundary for exercise determines city size, which increases with the growth rate of urban rents but decreases with systematic and unsystematic risk.     

Evaluation of national foresight activities: Assessing rationale, process and impact

The paper addresses the question of what constitutes an appropriate evaluation strategy for national foresight activities in different situations. The variety of rationales for foresight is explored, ranging from a desire to set priorities through to participation-oriented goals and building new networks around common visions and strategies. A generational model of foresight is used to show the evolution of key evaluation issues. The generic motivations for evaluation of accountability, justification and learning are discussed in the context of foresight. Evaluation grounded in the concept of behavioural additionality and the systems failure rationale is shown to be more suited as a rationale for foresight as public policy.Assessing the effects of foresight requires an understanding that it is only one of several influences on public policy. To be effective it needs to be tuned into the strategic behaviour and cycles of policy and economic actors. Cases are presented of evaluation of foresight programmes in the United Kingdom, Germany and Hungary. It is concluded that there is no “one-size-fits-all” evaluation approach and that the method selected is conditioned by motivation, timing and the level of aggregation. Foresight cannot be fully evaluated independently from its context. Foresight is being strengthened by the emergence of rigorous and systematic knowledge to assist learning and improvement.     

Optimal Intervention Policies for a Small Monetary Economy

We analyze the gains from trade for a small cash-in-advance economy with endogenous labor supply and learning-by-doing in the accumulation of human capital. Contrary to previous findings, we show that free trade is not optimal independently of the relative amount of cash required for the purchase of each good. Furthermore, a monetary rule à la Friedman can eliminate distortions deriving from the cash-in-advance constraint only under segmented financial markets; in any case, it cannot restore the economic optimum. Finally, we identify government intervention policies, such as wage and export subsidies, that can be welfare improving.     

The market reaction to announced deep cuts in capital expenditures

The objective of the study reported in this paper was to examine the role of deep cuts in capital expenditures as a firm's strategy for becoming more efficient and, in turn, more competitive. Based on an empirical study, support is provided for the argument that deep cuts in capital expenditures may be a viable strategy for realigning corporate priorities toward a more efficient operation. The measure of performance utilized in this paper is the stock market reaction to announced deep cuts.     

Illicit drug markets and economic irregularities

Markets for illicit drugs present an interesting case study for economics, combining non-standard characteristics such as addiction and product illegality. One response has been to argue the generality of economic principles by suggesting that they apply even in the extreme case of markets for addictive substances, e.g., by showing that demand for illicit goods is responsive to price [1] [Reframing health behavior change with behavioral economics. Hillsdale, NJ:Lawrence Earlbaum Associates; 2000. p. 89-111.] and even by modeling addiction as rational [2] [J Political Econ 1988;96:675-700]. This paper sketches examples of an alternative reaction, focusing on idiosyncrasies of drug markets that might plausibly create counter-intuitive effects, including supply curves that slope downward because of enforcement swamping and/or a good serving as the only available store of wealth for its producer, demand reduction programs that increase demand, and consumption by “jugglers” possibly increasing rather than decreasing as prices rise. This analysis yields non-obvious policy recommendations; for example, source country control programs should concentrate on growing regions with a healthy banking sector.     

Seasonal decomposition and forecasting of telecommunication data: A comparative case study

In this paper, forecasting models for the monthly outgoing telephone calls in a University Campus are presented. The data have been separated in the categories of international and national calls as well as calls to mobile phones. The total number of calls has also been analyzed. Three different methods, namely the Seasonal Decomposition, Exponential Smoothing Method and SARIMA Method, have been used. Forecasts with 95% confidence intervals were calculated for each method and compared with the actual data. The outcome of this work can be used to predict future demands for the telecommunications network of the University.     

The coevolution of firms and their knowledge environment: Insights from the pharmaceutical industry

What are the most effective learning strategies for firms given the characteristics of their knowledge environment? This paper addresses this question by documenting the major changes in the knowledge environment of the pharmaceutical industry, with a particular emphasis on the period since the emergence of biotechnology, and discussing the related changes in the learning strategies of established pharmaceutical firms. Both the historical analysis and a review of the empirical research on organizational learning and knowledge transfer reveal a strong emphasis of firms on external learning through interfirm collaborations and sourcing of external knowledge. This learning strategy seems to be driven by the speed, uncertainty, and dispersion of knowledge developments in the industry. Studying the connections between the knowledge environment and the effectiveness of organizational learning processes is important to understand organizational change and adaptation, and is an area of research that deserves further attention.