This paper examines empirically whether nonlinearities play a significant role in the modeling of the carbon price. We highlight the limits of previous carbon markets analyses based essentially on a linear econometric framework. Instead, we propose to revisit the main results on carbon pricing and the inter-relationships with energy markets and CERs based on nonlinear techniques (threshold vect...

The commercial real estate sector is responsible for a large share of a city’s overall carbon footprint. An ongoing trend in this sector has been the entry of big-box stores such as Wal-Mart. Using a unique monthly panel data set for every Wal-Mart store in California from 2006 through 2011, we document three main findings about the environmental performance of big-box retailers. First, Wal-Mar...

When should a buyer of an exhaustible resource move to a substitute if only the seller knows the exact size of the remaining resource stock? We characterize stationary dynamic signalling equilibrium of this Coasian bargaining problem, and find that adjustment delays in ending the relationship and the degree of asymmetric information shape the equilibrium outcome. The Coase conjecture —the infor...

Phosphodiesterase-9 (PDE9) inhibitors have been studied as potential therapeutics for treatment of central nervous system diseases and diabetes. Here, we report the discovery of a new category of PDE9 inhibitors by rational design on the basis of the crystal structures. The best compound, (S)-6-((1-(4-chlorophenyl)ethyl)amino)-1-cyclopentyl-1,5,6,7-tetrahydro-4H-pyrazolo[3,4-day]pyrimidin-4-one...

This paper uses control variables to identify and estimate models with nonseparable, multidimensional disturbances. Triangular simultaneous equations models are considered, with instruments and disturbances independent and reduced form that is strictly monotonic in a scalar disturbance. Here it is shown that the conditional cumulative distribution function of the endogenous variable given the i...

Real estate data exhibit autocorrelation and heterogeneity across both space and time. The literature is beginning to advance methods that account for the four components. This article accordingly introduces the Bayesian Maximum Entropy (BME) method to real estate analysis. In addition to controlling for spatiotemporal autocorrelation and heterogeneity, BME allows for probabilistic and missing ...

This paper proposes a new panel model of cross-sectional dependence. The model has a number of potential structural interpretations that relate to economic phenomena such as herding in financial markets. On an econometric level, it provides a flexible approach of modelling interactions across panel units and can generate endogenous cross-sectional dependence that can resemble the dependence tha...

This paper uses an independent competing risks framework to model job tenure, with previous labour market status and the duration of the preceding unemployment spell as explanatory variables. We find that jobs that follow an unemployment spell have shorter mean duration than other jobs. Less than one half of jobs that follow unemployment last for twelve months. Multivariate results suggest that...

abstract this study investigates casual relationship between co2 emission and gross domestic product per capita in five different country groups, using cross- country data for the period 1960-2007. to achieve the purpose, the co- integration test and error correction models are applied. results confirm casual relationships between the two variables. a unilateral relationship between gdp and co2...

This paper analyzes the impact of carbon taxes on the Japanese economy using an applied/computable general equilibrium model. This analysis sheds light on both the efficiency and the equity issues of these policies. The study shows that some alleviation measures, e.g. tax differentiation, might be required to ease the damages caused to energy intensive industries. Moreover, considering the regr...