Nonresponse in Contingent Valuation-reducing uncertainty in value inference

This paper focuses on problems associated with nonresponse in Contingent Valuation surveys. The results from a telephone follow-up survey show that value inference can be considerably improved by information on nonrespondents' attitudes.     

Bayesian assessment of dimensionality in reduced rank regression

We consider Bayesian inference about the dimensionality in the multivariate reduced rank regression framework, which encompasses several models such as MANOVA, factor analysis and cointegration models for multiple time series. The fractional Bayes approach is used to derive a closed form approximation to the posterior distribution of the dimensionality and some asymptotic properties of the approximation are proved. Finite sample properties are studied by simulation and the method is applied to growth curve data and cointegrated multivariate time series.     

Non-convexities and the gains from concealing defenses from committed terrorists

How should countries defend against committed terrorists who attack until defeated? We identify a fundamental non-convexity—one only needs to defeat the terrorist once. Consequently, provided a country values targets similarly, it should conceal defenses and allocate defense resources randomly.     

Steady‐state priors for vector autoregressions

Bayesian priors are often used to restrain the otherwise highly over‐parametrized vector autoregressive (VAR) models. The currently available Bayesian VAR methodology does not allow the user to specify prior beliefs about the unconditional mean, or steady state, of the system. This is unfortunate as the steady state is something that economists usually claim to know relatively well. This paper develops easily implemented methods for analyzing both stationary and cointegrated VARs, in reduced or structural form, with an informative prior on the steady state. We document that prior information on the steady state leads to substantial gains in forecasting accuracy on Swedish macro data. A second example illustrates the use of informative steady‐state priors in a cointegration model of the consumption‐wealth relationship in the USA. Copyright © 2009 John Wiley & Sons, Ltd.     

A New Test of Price Dispersion

In recent years considerable attention has been devoted to differences across countries in the institutional environments in which corporations operate, and the consequences of these institutional differences for corporate performance. In this paper we test for the presence of differences in corporate performance across 38 countries, and in particular whether these differences are related to the types of legal systems existing in each country. To measure corporate performance we estimate returns on investment relative to company costs of capital in each country. We find significant differences in the investment performance of corporations across our sample of countries. Companies in countries with English-origin, common law legal systems perform significantly better on average than do those in civil law systems.     

PARTIAL HEDGING IN A STOCHASTIC VOLATILITY ENVIRONMENT

We consider the problem of partial hedging of derivative risk in a stochastic volatility environment. It is related to state-dependent utility maximization problems in classical economics. We derive the dual problem from the Legendre transform of the associated Bellman equation and interpret the optimal strategy as the perfect hedging strategy for a modified claim. Under the assumption that volatility is fast mean-reverting and using a singular perturbation analysis, we derive approximate value functions and strategies that are easy to implement and study. The analysis identifies the usual mean historical volatility and the harmonically averaged long-run volatility as important statistics for such optimization problems without further specification of a stochastic volatility model. The approximation can be improved by specifying a model and can be calibrated for the leverage effect from the implied volatility skew. We study the effectiveness of these strategies using simulated stock paths.     

Explaining municipal audit costs in Sweden: Reconsidering the political environment,the municipal organisation and the audit market

With the purpose of explaining professional audit costs in Swedish municipalities, we hypothesised that audit costs are partly driven by various signalling and monitoring incentives in order to manage stakeholder relationships. Our model of the determinants of audit costs was tested on data from Swedish municipalities, thus extending the study of audit costs to political organisations in a Scandinavian institutional context. The test supported to some extent the traditional propositions of organisational complexity, risk and market determinants, as well as the proposition of the political environment. Our results indicate that audit costs are used to signal accountability, thereby suggesting that audit as a signal could be managed without managing professional auditors.     

Regression density estimation using smooth adaptive Gaussian mixtures

We model a regression density flexibly so that at each value of the covariates the density is a mixture of normals with the means, variances and mixture probabilities of the components changing smoothly as a function of the covariates. The model extends the existing models in two important ways. First, the components are allowed to be heteroscedastic regressions as the standard model with homoscedastic regressions can give a poor fit to heteroscedastic data, especially when the number of covariates is large. Furthermore, we typically need fewer components, which makes it easier to interpret the model and speeds up the computation. The second main extension is to introduce a novel variable selection prior into all the components of the model. The variable selection prior acts as a self-adjusting mechanism that prevents overfitting and makes it feasible to fit flexible high-dimensional surfaces. We use Bayesian inference and Markov Chain Monte Carlo methods to estimate the model. Simulated and real examples are used to show that the full generality of our model is required to fit a large class of densities, but also that special cases of the general model are interesting models for economic data.     

Economic value of carbon sequestration in forests under multiple sources of uncertainty

The purpose of this paper is to calculate the value of stochastic carbon sequestration in climate change mitigation when also carbon dioxide emissions from fossil fuels and abatement costs are stochastic. The replacement cost method is used where the value of carbon sink is calculated as associated cost savings from replacement of more expensive mitigation options for achieving a given emission target. Minimum costs with and without carbon sinks are derived with a safety-first approach in a chance constrained programming framework which also accounts for variability in control costs. The theoretical results show that for high enough risk discount, carbon sink is not included in a cost effective mitigation program even when the carbon sink cost is zero. The empirical application to the EU independent commitment of 20% reduction in carbon dioxides shows large variation in carbon sink value depending on risk discount. Under no uncertainty, the value can correspond to 0.33% of total GDP in EU, but it declines due to the uncertainty associated with forest carbon sink and is zero for high probability levels in achieving the target. Thus, whether or not to recommend the inclusion of carbon sink in the EU climate policy depends on the uncertainty of carbon sinks in relation to other sources and on the importance of reaching stipulated emission reduction targets.     

Next Generation External Venturing Practices in Family Owned Businesses

Drawing on an Entrepreneurship as Practice (EaP) approach, this article examines how next generation members in family owned businesses (FOBs) engage in external venturing. Our study builds on longitudinal qualitative research in two Mexican FOBs where the next generation launched ten ventures. It reveals five different practices of external venturing used by next generation family members: ‘obtaining family approval’, ‘bypassing family’, ‘family venture mimicking’, ‘jockeying in family’, and ‘jockeying around family’. The five practices are combined into three routes for external venturing: ‘imitating the family business’, ‘splitting the family business’, and ‘surpassing the family business’. Building on notions from Michel de Certeau’s practice theory, this study contributes to theorizing the five practices as ways of operating and the routes as modes of sensing to better understand how next generation family members deal with settings featured by dominant orders within the family and the FOB in their attempts to originate and launch their new ventures.