The long-run causal relationship between transport energy consumption and GDP: Evidence from heterogeneous panel methods robust to cross-sectional dependence

This paper employs panel methods that address/mitigate heterogeneity and cross-sectional dependence to determine the direction and sign of long-run causality between transport energy consumption per capita and real GDP per capita. Granger-causality was determined to run from GDP to energy.     

Competitive prices as optimal cartel prices

In a linear oligopoly model with antitrust enforcement, the optimal cartel price converges to the competitive equilibrium price. The set of sustainable cartel prices does not shrink to the competitive price. We identify necessary conditions for this counter-intuitive convergence result.     

Producer price adjustment to commodity price shocks: An application of threshold cointegration

During the 1980s and 1990s, most developing countries in Sub-Saharan Africa and Latin America implemented structural adjustment reforms, which included the liberalization of export crop markets and the abolition of marketing boards. The emergence of new marketing systems may have altered price transmission mechanisms, especially if collusion behaviors have appeared among domestic stakeholders along the marketing chain. I use threshold cointegration tools to analyze the dynamics of world price transmission to coffee growers in three deregulated markets. The methods I use allow me to test the presence of a threshold in both the cointegrating relationship and its corresponding error correction model. Over the pre-reform period, I detect asymmetric price adjustments that appear favorable to producers - deviations from the long-run equilibrium resulting from largest increases in world prices being eliminated relatively quickly - and disappear in the post-reform period. On the contrary over the post-reform period, the results suggest that largest decreases in world prices may be transmitted relatively quickly to growers. These results can be seen as expressions of a favorable pricing policy over the pre-reform period and an unfavorable influence of new private agents over the post-reform period, meaning that in some cases reforms may have failed to create competitive market structures.     

Modeling volatility with time-varying FIGARCH models

This paper puts the light on a new class of time-varying FIGARCH or TV-FIGARCH processes to model the volatility. This new model has the feature to account for the long memory and the structural change in the conditional variance process. The structural change is modeled by a logistic function allowing the intercept to vary over time. We also implement a modeling strategy for our TV-FIGARCH specification whose performance is examined by a Monte Carlo study. An empirical application to the crude oil price and the S&P 500 index is carried out to illustrate the usefulness of our techniques. The main result of this paper is that the long memory behavior of the absolute returns is not only explained by the existence of the long memory in the volatility but also by deterministic changes in the unconditional variance.     

Ecosystem services and regional development: An application to Sweden

This study carries out interregional comparisons of development and sustainable use of natural capital with and without inclusion of non-marketed ecosystem services. A simple dynamic model of an open economy shows that appropriate adjustment of conventional income accounts includes flow and stock components, but excludes explicit entrance of pollution. Calculations are made for Swedish regions and for two types of ecosystem services — pollution sequestration and recreational services — provided by three types of ecosystems: forests, agricultural landscape and wetlands. When comparing the adjusted and non-adjusted regional income accounts it is shown that the two measurements generate significantly different pictures of regional income and growth; regions that are traditionally considered as relatively less growth promoting are shown to hold important sources of wealth from natural capital, while counties that are rich in conventional accounts fall behind when adjusting for values of changes in natural capital.     

Taxation and the asymmetric adjustment of selected retail energy prices in the UK

This paper investigates the adjustment of the prices of four key petroleum products in the UK following changes in the price of crude oil. We find significant evidence that the pre-tax prices of diesel, kerosene, and gas oil adjust more rapidly in an upward than a downward direction, but that the pre-tax price of unleaded petrol adjusts symmetrically. However, these patterns are obscured at the pump once one accounts for fuel duty and value-added tax, raising the possibility that firms can use the tax system to conceal rent-seeking behaviour.     

Consumer support for environmental policies: An application to purchases of green cars

This paper focuses on how consumer motivation can be tapped in order to encourage the adoption of cleaner technologies. Consumers are heterogeneous — they may be guided by intrinsic motivation or extrinsic motivation. While information provision policies (such as the energy label for cars) may be effective in encouraging certain consumers to adopt green cars, financial incentive schemes (such as subsidies or fines) may be more persuasive for extrinsically-motivated consumers. We develop a dynamic theory of adoption of environmental innovations, in which information-provision policies are followed by financial incentives (first ‘carrot’, then ‘stick’ incentives). Analysis of a survey dataset of Swiss households observes considerable heterogeneity in terms of support of information-provision or financial incentive policies, in line with our conjectures. Our results will be of particular interest to policymakers interested in guiding consumers towards cleaner technologies.     

The ghost of extinction: Preservation values and minimum viable population in wildlife models

The inclusion of a minimum viable population in bioeconomic modeling creates at least two complications that are not resolved by using a modified logistic growth function. The first complication can be dealt with by choosing a different depensational growth function. The second complication relates to the inclusion of the in situ benefits of wildlife into the analysis. Knowledge about the magnitude of the in situ benefits provides no guide for policy about conservation management. Simply knowing that people are willing to pay a large amount each year to protect a species says nothing about whether one should manage habitat to protect or enhance the species' numbers, unless the species is in imminent danger of extinction. If willingness to pay is to be a guide, it needs to be better tied to population numbers, especially the minimum viable population.     

Sectoral systems of environmental innovation: An application to the French automotive industry

This article seeks to show how a sectoral system approach may contribute to the analysis of the determinants of environmental innovations. By using Malerba's [F. Malerba: Sectoral systems of innovation and production, Res. Policy Vol. 102, 845-859, (2002)] concept of sectoral system of innovation and production, we develop a sectoral framework based on three building blocks: technological regimes, demand conditions and environmental and innovation policy. Within this framework, the sectoral patterns of environmental innovation result from the interplay between these three blocks. The conceptual framework is applied to the case of the French automotive industry, with a specific focus on the development of low emission vehicles. The analysis shows how technological regime and demand conditions lead to technological inertia, and so to a strong persistence of the dominant design. Finally, environmental and innovative policy are considered in an integrated way, so that we can study how they influence technological regime and demand conditions, and in the meantime how they are conditioned by these two blocks.     

Signs of impact effects in time series regression models

In this paper we consider the problem of interpreting the signs of the estimated coefficients in multivariate time series regressions where the regressors are correlated. Using a continuous time model, we argue that focusing on the signs of individual coefficients in such regressions could be misleading and argue in favour of allowing for the indirect effects that arise due to the historical correlations amongst the regressors. For estimation from discrete time data we show that the sign of the total impact, including the direct and indirect effects, of a regressor can be obtained using a simple regression that only includes the regressor of interest.     

The behaviour of relative prices in the European Union: A sectoral analysis

Using multivariate unit root test methods, this paper investigates the Purchasing Power Parity (PPP) hypothesis at the sectoral level across six European countries over the last 17 years. Evidence of mean reversion towards PPP is found for the relative prices of some sectors and countries. Mean reversion in relative prices is explained by cross-country and cross-sectoral characteristics such as the distance between countries, nominal exchange rate volatility, differences in GDP per capita, non-tariff barriers, research and development, advertising, industrial concentration and tradeability of the products.     

Cooperation and framing effects in provision point mechanisms: Experimental evidence

Andreoni (1995) showed that pure framing effects may influence contribution in Voluntary Contribution Mechanisms (VCM) by comparing a standard public goods game, called the positive frame condition (giving to the public good), with a negative frame condition (taking from the public good) where the subjects' choice to purchase a private good makes the other subjects worse off. This paper aims at testing the robustness of such framing effects in the context of Provision Point Mechanisms (PPM). Our approach is original in that it combines both framing and provision point dimensions by comparing maintaining (taking from the public good) and creating (giving to the public good) contexts using Provision Point experiments. Consistent with previous findings, we find that individuals tend to be less cooperative in the maintaining frame than in the creating frame. Our results also show that the framing effects are stronger under a PPM than under a VCM and increase with the provision point level. These results may have important consequences for the management of environmental resources.     

A REGIONAL MODEL OF OIL AND GAS EXPLORATION IN THE UKCS

Existing exploration–discovery models are generally characterised by equations describing the behaviour of exploration, success rates, and discoveries. The present paper adds two equations describing the behaviour of finding costs and exploration efficiency. The model was disaggregated along regional lines. Applying the model to UK Continental Shelf data over the period 1964–2002 produced results that supported the new approach. Analysis of the model dynamics and simulation forecast reveals similarities, but also important differences in the responsiveness of activity in the regions to policy multipliers, implying that uniform policy instruments will produce unequal responses in areas with different levels of maturity.     

Normality test for multivariate conditional heteroskedastic dynamic regression models

In this paper, we study the Jarque-Bera test for the normality of the innovations of multivariate GARCH models. It is shown that the test is distribution free and its limiting null distribution is a chi-square distribution.     

An in-sample and out-of-sample empirical investigation of the nonlinearity in house prices of South Africa

This paper tests whether housing prices in the five segments of the South African housing market, namely large-middle, medium-middle, small-middle, luxury and affordable, exhibit non-linearity based on smooth transition autoregressive (STAR) models estimated using quarterly data from 1970:Q2 to 2009:Q3. Findings point to an overwhelming evidence of non-linearity in these five segments based on in-sample evaluation of the linear and non-linear models. We next provide further support for non-linearity by comparing one- to four-quarters-ahead out-of-sample forecasts of the non-linear time series model with those of the classical and Bayesian versions of the linear autoregressive (AR) models for each of these segments, for the out-of-sample horizon 2001:Q1 to 2009:Q3, using the in-sample period 1970:Q2 to 2000:Q4. Our results indicate that barring the one-, two and four-step(s)-ahead forecasts of the small segment, the non-linear model always outperforms the linear models. In addition, given the existence of strong causal relationship amongst the house prices of the five segments, the multivariate versions of the linear (classical and Bayesian) and STAR (MSTAR) models were also estimated. The MSTAR always outperformed the best performing univariate and multivariate linear models. Thus, our results highlight the importance of accounting for non-linearity, as well as the possible interrelationship amongst the variables under consideration, especially for forecasting.     

An MPEC estimator for misclassification models

In this paper, we propose a constrained maximum likelihood estimator for misclassification models, by formulating the estimation as an MPEC (Mathematical Programming with Equilibrium Constraints) problem. Our approach improves the numerical accuracy and avoids the singularity problem. Monte Carlo simulations confirm that the proposed estimator reduces bias and standard deviation of the estimator, especially when the sample is small/medium and/or the dimension of latent variable is large.     

Differences and similarities between ecological and economic models for biodiversity conservation

In this paper we investigate an important obstacle which substantially complicates co-operation between ecologists and economists but which has received little attention so far: differences between the modelling approaches in economics and ecology. To understand these differences, 60 models addressing issues relevant to biodiversity conservation have been selected randomly from eight international economic and ecological journals. The models have been compared according to a number of criteria including the models' level of generality; the mathematical techniques employed for formulation and solution of the models; the level of complexity and the way time, space and uncertainty are taken into account. The economic models sampled are formulated and analysed analytically, tend to be relatively simple and are mostly used to investigate general questions. Furthermore, they often ignore space, dynamics and uncertainty. Although some ecological models have similar properties, there is also a substantial number of another type of ecological models that are relatively complex and analysed by simulation. These models tend to be rather specific and often explicitly consider dynamics, space and uncertainty. The integrated ecological-economic models are observed to lie “in the middle” between ecological and economic models. An unexpected result is that they are not more complex than ecological and economic models (as one could have expected from a simple “merger” of models from both disciplines), but have an intermediate complexity.     

An investigation of issues relating to where energy should enter the production function

This paper examines the impact of imposing different separability assumptions in the specifications of the standard hierarchical KLEM production function in a computable general equilibrium (CGE) model. The appropriate means of introducing energy to production functions has been a source of debate for a number of years. However, while modellers often subject results to parametric sensitivy analysis regarding the values associated with elasticities of substitution between inputs, it is rarely the case that the structure of the production function is subjected to testing. However, the chosen structure reflects the modeller's view about elasticity between different inputs and will have implications for model results wherever there are changes in relative prices. We illustrate our argument by introducing a simple demand shock to a CGE model of the Scottish economy (targeted at the energy supply sector) under different assumptions regarding the structure of the KLEM production function and separability assumptions therein.     

Health expenditure models: A comparison using panel data

In this article, we focus on the estimation of outpatient expenditures with panel data. We model the logarithm of expenditures and consider five different models. The first two are two-part and sample selection cross-section models. Two-part panel data models turn out to be inappropriate for dealing with expenditures. We thus estimate sample selection models with panel data: one without a lagged dependent variable and two with a lagged dependent variable. These two latter models differ in their assumptions on the variance of the residuals. Modelling heteroscedasticity may indeed be important to avoid the bias due to the retransformation problem. We show that lagged dependent variables are important factors for heteroscedasticity. For the models with state dependence, we provide a new solution to the initial conditions problem by controlling for generalised residuals. We establish that panel data models highly improve the correlation explained by the model in the time-series dimension without damaging the fit in the cross-section dimension. For all indicators of fit, the model with state dependence and heteroscedasticity seems to dominate the others.     

An improved framework for approximating option prices with application to option portfolio hedging

As the price of the underlying asset changes over time, delta of the option changes and a gamma hedge is required along with delta hedge to reduce risk. This paper develops an improved framework to compute delta and gamma values with the average of a range of underlying prices rather than at the conventional fixed ‘one point’. We find that models with time-varying volatility price options satisfactorily, and perform remarkably well in combination with the delta and delta-gamma approximations. Significant improvements are achieved for the GARCH model followed by stochastic volatility models. The new approach can ensure significant improvement in modelling option prices leading to better risk-management decision-making.