This paper assesses energy efficiency in Swedish industry. Using unique firm-level panel data covering the years 2001-2008, the efficiency estimates are obtained for firms in 14 industrial sectors by using data envelopment analysis (DEA). The analysis accounts for multi-output technologies where...

This paper estimates firm level energy efficiency and its determinants in 14 sectors of Swedish manufacturing by using stochastic frontier analysis (SFA). We derive energy demand frontiers both from cost minimizing and profit maximizing perspectives. To account for firms’ heterogeneity,...

Despite the growing number of studies on supervisor–subordinate guanxi in Chinese society, there is a paucity of research on its antecedents. The purpose of this study was to determine Chinese people’s motives for building supervisor–subordinate guanxi. We interviewed 60 Chinese employees...

The research reported in this set of three working papers focuses on different assumptions about the intertemporal behavior of government policymakers. In particular, we carefully study alternative specifications of intertemporal fiscal closure rules and their impacts on the effectiveness of...

In this second of a series of three working papers, we use a simple neoclassical growth model to illustrate how consumption, investment, and output -- more broadly, the entire dynamic equation system of a model -- can be strongly influenced by alternative specifications of a reaction function...

To extend the research on Gibrat's law in transformational countries, this article uses quantile regression to test whether the Law holds for Chinese listed companies in six industries from 1997 to 2003. Results indicate that Gibrat's law demonstrated a behaviour dependent on the length...

Here the experimental technique for measuring the thermal conductivity of nanofluids at the temperatures above 100 °C has been developed, and a systematic research on the thermodynamic properties including thermal conductivity, viscosity, specific heat and density, of the graphene-dispersed...

When studying the regression of a univariate variable <italic>Y</italic> on a vector <bold>x</bold> of predictors, most existing sufficient dimension-reduction (SDR) methods require the construction of <italic>slices</italic> of <italic>Y</italic> to estimate moments of the conditional distribution of <bold>X</bold> given <italic>Y</italic>. But there is no widely accepted method for...

We propose an empirical framework to assess the likelihood of joint and conditional sovereign default from observed CDS prices. Our model is based on a dynamic skewed-<italic>t</italic> distribution that captures all salient features of the data, including skewed and heavy-tailed changes in the price of CDS...

We develop a novel high-dimensional non-Gaussian modeling framework to infer conditional and joint risk measures for many financial sector firms. The model is based on a dynamic Generalized Hyperbolic Skewed-t block-equicorrelation copula with time-varying volatility and dependence parameters...