The Purchase of Equipment in Consumer Production of Outdoor Experiences

Consumers use combinations of goods to produce experiences. In order to produce outdoor experiences, consumers include environmental amenities as production factors in addition to purchasable instruments such as equipment. While amenities are not marketed, equipment is. Inspecting consumer purchases of the latter may uncover attitudes towards the former. Purchases of equipment are realized money outlays in a market and constitute lower bounds for the willingness to pay for one factor in outdoor experience production. This study investigates income and demographic effects in the demand for outdoor equipment over time in Norway, and examines the proportion of purchasing households for each year. Results show that equipment is a luxury item, and that it becomes more popular over time. The findings are relevant to policymakers in two ways since use of equipment may entail environmental degradation, but purchases of equipment may reflect a willingness to pay for environmental standards.     

The performance of model based option trading strategies

This paper analyzes returns to trading strategies in options markets that exploit information given by a theoretical asset pricing model. We examine trading strategies in which a positive portfolio weight is assigned to assets which market prices exceed the price of a theoretical asset pricing model. We investigate portfolio rules which mimic standard mean-variance analysis is used to construct optimal model based portfolio weights. In essence, these portfolio rules allow estimation risk, as well as price risk to be approximately hedged. An empirical exercise shows that the portfolio rules give out-of-sample Sharpe ratios exceeding unity for S&P 500 options. Portfolio returns have no discernible correlation with systematic risk factors, which is troubling for traditional risk based asset pricing explanations.     

Economic Analysis for the UK National Ecosystem Assessment: Synthesis and Scenario Valuation of Changes in Ecosystem Services

We combine natural science modelling and valuation techniques to present economic analyses of a variety of land use change scenarios generated for the UK National Ecosystem Assessment. Specifically, the agricultural, greenhouse gas, recreational and urban greenspace impacts of the envisioned land use changes are valued. Particular attention is given to the incorporation of spatial variation in the natural environment and to addressing issues such as biodiversity impacts where reliable values are not available. Results show that the incorporation of ecosystem services and their values within analyses can substantially change decisions.     

Pulse Fishing and Stock Uncertainty

Large variation in stock dynamics affects the accuracy of stock estimates, which fisheries managers rely on when determining quotas and other regulations. The purpose of this paper is to investigate the implications of uncertainty on pulse fishing. We show that as the variance of the random natural fluctuations increases, the optimal pulse length decreases and converge toward a constant-escapement policy. Hence, in fisheries with large natural variability, a constant-escapement policy is a good approximation of the optimal policy.     

Disentangling the Pure Time Effect From Site and Preference Heterogeneity Effects in Benefit Transfer: An Empirical Investigation of Transferability

Two identical open-ended contingent valuation surveys assessing willingness-to-pay for better protection against flooding were administered in 2005 and 2010 at the same site. The 2010 survey was administered to the same respondents as those interviewed in 2005 as well as to new participants. This experimental design allows us to separate the pure temporal dimension from the spatial and social dimensions of transferability, thereby permitting an investigation of the temporal reliability associated with a transfer of value estimates over a 5-year time horizon. Having isolated the pure effect of time, the design further allows assessing the social dimension of transferability.     

Estimating SUR system with random coefficients: the unbalanced panel data case

A system of regression equations for analyzing panel data with random heterogeneity in intercepts and coefficients, and unbalanced panel data is considered. A maximum likelihood (ML) procedure for joint estimation of all parameters is described. Since its implementation for numerical computation is complicated, simplified procedures are presented. The simplifications essentially concern the estimation of the covariance matrices of the random coefficients. The application and ‘anatomy’ of the proposed algorithm for modified ML estimation are illustrated by using panel data for output, inputs and costs for 111 manufacturing firms observed up to 22 years.     

Exchange rate versus inflation targeting: a theory of output fluctuations in traded and non-traded sectors

This paper develops a basic model for output fluctuations in traded and non-traded sectors under two alternative monetary policy regimes; exchange rate targeting (or monetary union) and inflation targeting. The conventional wisdom from one-sector models says that inflation targeting gives better output stabilization than exchange rate targeting when demand shocks occur, but the opposite when supply shocks occur. In a model with a traded and a non-traded sector, we show that the conventional wisdom holds for the non-traded sector. However, for the traded sector, we show that inflation targeting destabilizes output compared with exchange rate targeting when both supply and demand shocks occur. The only shocks where inflation targeting provides the better output stability for the traded sector are shocks to world market prices. The two-sector structure introduces new mechanisms that may turn around earlier results for aggregate production. For instance, a demand shock may induce higher aggregate output fluctuations with inflation targeting than with exchange rate targeting. Furthermore, a positive demand shock may prove to be contractionary under inflation targeting.     

House Prices and Stock Prices: Different Roles in the US Monetary Transmission Mechanism*

We analyze the role of house prices and stock prices in the monetary‐policy transmission mechanism in the US, using a structural vector autoregressive model. If we allow the interest rate and asset prices to react simultaneously to news, we find different roles for house prices and stock prices in the monetary transmission mechanism. Following a contractionary monetary‐policy shock, stock prices fall immediately, while the response in house prices is more gradual. Regarding the systematic response in monetary policy, stock prices play a more important role than house prices. As a consequence, house prices contribute more than stock prices to fluctuations in gross domestic product and inflation.