Spatial allocation of forest recreation value

Non-market valuation methods and geographic information systems are useful planning and management tools for public land managers. Recent attention has been given to investigation and demonstration of methods for combining these tools to provide spatially-explicit representations of non-market value. Most of these efforts have focused on spatial allocation of ecosystem service values based on land cover types, but recreation value has yet to be considered. This article presents an objective method for spatially allocating forest recreation value that is based on readily available data, demonstrates the method for a Southern California study site, and discusses the policy relevance of the method and how it might be extended to other applications and tested with additional primary survey data.     

Analysing Production Technology and Risk in Organic and Conventional Dutch Arable Farming using Panel Data

This paper compares the production technology and production risk of organic and conventional arable farms in the Netherlands. Just–Pope production functions that explicitly account for output variability are estimated using panel data of Dutch organic and conventional farms. Prior investigation of the data indicates that within variation of output is significantly higher for organic farms, indicating that organic farms face more output variation than conventional farms. The estimation results indicate that in both types of farms, unobserved farm‐specific factors like management skills and soil quality are important in explaining output variability and production risk. The results further indicate that land has the highest elasticity of production for both farm types. Labour and other variable inputs have significant production elasticities in the case of conventional farms and other variable inputs in the case of organic farms. Manure and fertilisers are risk‐increasing inputs on organic farms and risk‐reducing inputs on conventional farms. Other variable inputs and labour are risk increasing on both farm types; capital and land are risk‐reducing inputs.     

Are professional forecasters overconfident?

Do professional forecasters have an accurate sense of the uncertainties surrounding their own forecasts? This paper examines forecaster overconfidence by comparing ex ante, surveyed forecaster uncertainty with ex post, realised uncertainty based on the dispersion of an individual’s forecast errors. Unlike the literature that focuses on consensus forecasts, our focus is at the level of the individual forecaster. Using microdata from the three major surveys of professional forecasters (Euro Area, US and UK), we examine real GDP growth forecasts over the period 1999–2015. Our findings show that overconfidence dominates among individual forecasters, particularly for longer forecast horizons, and that individual forecasters appear to have little understanding of their own uncertainty.     

A Simple Estimator of Two‐Dimensional Copulas,with Applications1

Copulas are distributions with uniform marginals. Non‐parametric copula estimates may violate the uniformity condition in finite samples. We look at whether it is possible to obtain valid piecewise linear copula densities by triangulation. The copula property imposes strict constraints on design points, making an equi‐spaced grid a natural starting point. However, the mixed‐integer nature of the problem makes a pure triangulation approach impractical on fine grids. As an alternative, we study the ways of approximating copula densities with triangular functions which guarantees that the estimator is a valid copula density. The family of resulting estimators can be viewed as a non‐parametric MLE of B‐spline coefficients on possibly non‐equally spaced grids under simple linear constraints. As such, it can be easily solved using standard convex optimization tools and allows for a degree of localization. A simulation study shows an attractive performance of the estimator in small samples and compares it with some of the leading alternatives. We demonstrate empirical relevance of our approach using three applications. In the first application, we investigate how the body mass index of children depends on that of parents. In the second application, we construct a bivariate copula underlying the Gibson paradox from macroeconomics. In the third application, we show the benefit of using our approach in testing the null of independence against the alternative of an arbitrary dependence pattern.     

Future skills and current realities: How the psychological (Jungian) type of European business leaders relates to the needs of the future

How ready for the future are our business leaders? This paper addresses this question by drawing on two pieces of research. An international skills audit was carried out to ascertain if the skills needed by future business leaders would be different from the skills needed today; the results from 340 respondents are presented. These are compared with data on the Jungian type of over 8000 senior managers and executives taken from nine different European countries. Type was measured by the Myers-Briggs Type Indicator^® (MBTI^®) instrument. The findings are used to identify challenges for the future. For example, although the audit suggested that skills such as the ability to empower others are likely to become increasingly important, people with the most common type preference amongst European senior managers (ESTJ) may, especially when under stress, have a particular tendency to want to make all the decisions themselves, without any input from others. The ways in which organisational psychologists and HR practitioners can employ psychological type to help leaders meet these challenges are briefly discussed.     

Learning to play Bayesian games

This paper discusses the implications of learning theory for the analysis of games with a move by Nature. One goal is to illuminate the issues that arise when modeling situations where players are learning about the distribution of Nature's move as well as learning about the opponents' strategies. A second goal is to argue that quite restrictive assumptions are necessary to justify the concept of Nash equilibrium without a common prior as a steady state of a learning process.     

Telecommunications and economic development in Singapore

The existing research of aggregate statistical analysis on the relationship between telecommunications and economic development is largely organized around the hypothesis that telephone growth fosters economic development. Although considerable evidence supports that hypothesis, there is also a growing realization that the growth of telecommunications, in turn, requires a sound economy. The existing research, however, ignores the reciprocal relationship between these two variables. Employing Singapore data, this article formulates a simultaneous equation model to assess the reciprocal relationship between telecommunications and economic development. These data support the reciprocal relationship hypothesis. Policy implications of the findings are also discussed.     

Effective Enforcement of a Transferable Emissions Permit System with a Self-Reporting Requirement

We propose an enforcement strategy to achieve complete compliance in a transferable emissions permit system when firms are required to provide reports of their own emissions. Like the literature on self-reporting in the enforcement of standards, we find that self-reporting can conserve monitoring costs, but for a different reason. In addition, we show that targeted monitoring—the practice of monitoring some firms more closely than others—is not necessary in a competitive permit system. Furthermore, tying penalties to the equilibrium permit price can stabilize the monitoring effort necessary to maintain full compliance in the face of permit price fluctuations.     

Model stability and forecast performance of Beta-t-EGARCH

We show that the model stability of the recent QAR(1) plus Beta-t-EGARCH(1,1) is superior to that of the well-known ARMA(1,1) plus t-GARCH(1,1) because QAR plus Beta-t-EGARCH discounts extreme observations, while ARMA plus t-GARCH accentuates them. Model stability of QAR plus Beta-t-EGARCH is an elegant property; however, we show that the out-of-sample density forecast performance of ARMA plus t-GARCH is superior to that of QAR plus Beta-t-EGARCH. We study model stability and density forecast performance for a set of rolling data windows. We use data on the S&P 500 index for the period 1990–2015. For robustness analysis, we also study Monte Carlo simulations of asset returns for the stochastic volatility model.     

Financial reporting in hyperinflationary economies and the value relevance of accounting amounts: hard evidence from Zimbabwe

We examine the value relevance of inflation-adjusted (IA) and historical cost (HC) amounts in a hyperinflationary economy. Using a unique dataset drawn from annual reports of firms listed on the Zimbabwe Stock Exchange from 2000 to 2005, we find that both sets of amounts are value relevant but HC amounts are superior to IA amounts. We also show that inflation gains and losses provide incremental information content beyond that provided by the HC amounts and that the power of this incremental content model is equivalent to that of the HC model but superior to that of the IA model. Further analyses indicate that, in periods of relatively low inflation, HC amounts are more value relevant, while in periods of relatively high inflation, the two sets of amounts are equally value relevant. Finally, we show that HC amounts have a greater ability to predict future cash flows than IA amounts, which suggests that the superiority of their value relevance stems from this.