Distributive impact of structural change: Does environmental degradation matter?

Vulnerability to reduction of natural capital depends on defensive substitution possibilities that, in turn, are affected by the availability of other productive factors. However in several developing countries asset distribution tends to be highly skewed. Taking into account these elements, this paper proposes a model considering an economy polarized into two classes (the rich and the poor) and characterized by the following stylized facts: income and productivity of the rural poor is highly dependent on natural resources; labour remuneration in rural sector represents the opportunity cost for wage labour; the rich can partially substitute natural capital with physical capital and wage labour. In this context, agents differ for feed back mechanisms and interactions between their choices of production and environmental dynamics. Moreover environmental depletion may trigger economic transition, but the structural change is likely to result regressive.     

A REVIEW AND COMPARISON OF TESTS OF CROSS-SECTION INDEPENDENCE IN PANELS

Abstract.  In this paper we review and compare diagnostic tests of cross-section independence in the disturbances of panel regression models. We examine tests based on the sample pairwise correlation coefficient or on its transformations, and tests based on the theory of spacings. The ultimate goal is to shed some light on the appropriate use of existing diagnostic tests for cross-equation error correlation. Our discussion is supported by means of a set of Monte Carlo experiments and a small empirical study on health. Results show that tests based on the average of pairwise correlation coefficients work well when the alternative hypothesis is a factor model with non-zero mean loadings. Tests based on spacings are powerful in identifying various forms of strong cross-section dependence, but have low power when they are used to capture spatial correlation.     

The Influences of Institution Attended and Field of Study on Graduates' Starting Salaries

This paper examines the determinants of Australian university graduates' starting salaries, with an emphasis on the institution attended and field of study. It is shown that there is little difference between the starting salaries of students who attended Group of Eight universities and those who attended other universities. There are modest differences in starting salaries across fields of study. However, these differences are considerably less than those associated with the type of employment obtained. These results suggest it is what you do in the labour market, rather than where or what you have studied, that is the main determinant of labour market outcomes.     

Making a first impression as a start-up: Strategies to overcome low initial trust perceptions in digital innovation adoption

High failure rates of digital innovations by start-ups indicate that consumers' initial trust perceptions are make-or-break for their survival. Hence, start-ups have to design adequate business models to manage consumers' initial trust perceptions of digital innovations. Five experiments explore how start-ups can signal trustworthiness in order to overcome low initial trust perceptions and boost adoption. We find three specific design strategies of start-ups' digital business models – customer ratings, benefit communication, and revenue model – to be effective to overcome low initial trust perceptions and to increase adoption of digital innovations. The findings demonstrate that initial trust serves as a critical mediator in the relationship between these design strategies and consumers' adoption intentions. Additionally, the chosen revenue model has differential effects on privacy concerns, which mediate the relationship between revenue model and initial trust. The present empirical insights help start-ups to craft business model design strategies for successful digital innovation launch.     

Industrial coal demand in China: A provincial analysis

The general concern on the environmental implications of the rising demand for coal registered in China during the last few years has induced considerable research effort to produce accurate forecasts of China's energy requirements. Nevertheless, no previous study has modelled the coal demand in China at provincial level. The aim of this paper is twofold. First, we estimate and forecast the Chinese demand for coal using panel data disaggregated by provinces and accounting for spatial heterogeneity. Second, given the spatial nature of the data, we explicitly capture the spatial autocorrelation among provinces using spatial econometrics. In particular, we specify the Chinese industrial coal demand at provincial level with fixed-effect spatial models. The empirical results show that the fixed-effect spatial ADL model is able to capture the existing interdependence between provinces. This model forecasts an average annual increase in coal demand to 2010 of nearly 2%.     

Bivariate asymmetric GARCH models with heavy tails and dynamic conditional correlations

A bivariate generalized autoregressive conditional heteroskedastic model with dynamic conditional correlation and leverage effect (DCC-GJR-GARCH) for modelling financial time series data is considered. For robustness it is helpful to assume a multivariate Student-t distribution for the innovation terms. This paper proposes a new modified multivariate t-distribution which is a robustifying distribution and offers independent marginal Student-t distributions with different degrees of freedom, thereby highlighting the relationship among different assets. A Bayesian approach with adaptive Markov chain Monte Carlo methods is used for statistical inference. A simulation experiment illustrates good performance in estimation over reasonable sample sizes. In the empirical studies, the pairwise relationship between the Australian stock market and foreign exchange market, and between the US stock market and crude oil market are investigated, including out-of-sample volatility forecasts.     

An empirical study of consumer behavior related to private labels and national brand promotions

One day while in the store, Bernard grabs his usual Dominick's cream cheese off the shelf. I notice and point out that the national brand of Philadelphia cream cheese is on sale and less expensive. Bernard looks at the two products and actually hesitates for a while to switch to the national brand. His hesitation makes it clear that his preference is not based solely on price. (Chang Coupland 2005, 115).     

Do Investors Value a Firm’s Commitment to Social Activities?

Previous empirical research has found mixed results for the impact of corporate social responsibility (CSR) investments on corporate financial performance (CFP). This paper contributes to the literature by exploring in a two stage investor decision-making model the relationship between a firm’s innovation effort, CSR, and financial performance. We simultaneously examine the impact of CSR on both accounting-based (financial health) and market-based (Tobin’s Q) financial performance measures. From a sample of top corporate citizens, we find that: (1) a firm’s social responsibility commitment (CSR) contributes to its financial performance; (2) after controlling for investment in innovation activities, CSR continues to have a positive impact on a firm’s financial performance; (3) the customer dimension of CSR has a positive effect on both CFP measures, whereas the employee dimension indicates a significant impact only on financial heath; and (4) the community relation dimension of CSR only affects the market-based CFP measure of firms with high innovation intensity.     

Pricing and hedging illiquid energy derivatives: An application to the JCC index

In this paper a simple strategy for pricing and hedging a swap on the Japanese crude oil cocktail (JCC) index is discussed. The empirical performance of different econometric models is compared in terms of their computed optimal hedge ratios, using monthly data on the JCC over the period January 2000–January 2006. An explanation to how to compute a bid/ask spread and to construct the hedging position for the JCC swap contract with variable oil volume is provided. The swap pricing scheme with backtesting and rolling regression techniques is evaluated. The empirical findings show that the price‐level regression model permits one to compute more precise optimal hedge ratios relative to its competing alternatives. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:464–487, 2008     

Effect of credit rating changes on Australian stock returns

We study the impact credit rating revisions have on stock returns of Australian firms rated by Standard & Poor's and Moody's. Our evidence is consistent with that documented in the USA showing that only downgrades contain price‐relevant information. The reaction is most significant when the downgrade: (i) is unanticipated; (ii) is for an unregulated firm; and (iii) reduces the firm's rating by more than one category.