Given Australia's lack of energy security strategy, it is not surprising that the country is void of institutional knowledge and know-how of Russian foreign energy strategy. The 'lucky country' as it were, relies entirely on sea-lines of communication to the north to supply fuel and to export...

Bei der Energiewende geht es aus ökonomischer Sicht darum, ihre klima- und umweltpolitisch Ziele so zu erreichen, dass auch die beiden anderen Eckpunkte des energiepolitischen Zieldreiecks, die Wirtschaftlichkeit und die Versorgungssicherheit, angemessene Berücksichtigung finden. Der...

Rapidly rising carbon emissions from the intense development of Western Canada's fossil fuels continue to aggravate the global climate emergency and destabilize democratic structures. The urgency of the situation demands not only scholarly understanding, but effective action. Regime of...

We offer micro-econometric evidence on the relationship between the banks' loan rejection rates and the creditworthiness of the banks' corporate customers in 2007 and 2009/10 based on a unique Danish firm- and bank-level dataset. We find lower acceptance rates for applications for bank loans...

The paper studies the partial identifying power of structural single equation threshold crossing models for binary responses when explanatory variables may be endogenous. The paper derives the sharp identified set of threshold functions for the case in which explanatory variables are discrete...

Dagenais (1999) and Lucchetti (2002) have demonstrated that the naive GMM estimator of Grogger (1990) for the probit model with an endogenous regressor is not consistent. This paper completes their discussion by explaining the reason for the inconsistency and presenting a natural solution....

In non-linear regression models, such as the probit model, coefficients cannot be interpreted as marginal effects. The marginal effects are usually non-linear combinations of all regressors and regression coefficients of the model. This paper derives the marginal effects in a probit model with a...

A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...