Inter-Governmental Fiscal Relations: The Facilitator of Fiscal Decentralization

The decentralization of fiscal authority to lower level jurisdictions contributes to the efficient delivery of public services, but conflicts with national objectives. This paper argues that the system of fiscal relations, including both the grant structure and institutions for policy coordination, are necessary for achieving the full benefits of fiscal decentralization while preserving national efficiency and equity objectives. The case for decentralization is recounted, along with the ways it can impinge upon efficiency and equity in the national economy. These adverse effects can be mitigated by appropriate fiscal transfers, both equalizing and conditional, and suitable measures of policy harmonization.     

Spatial Autoregression Techniques for Real Estate Data

This paper describes how spatial techniques can be used to improve the accuracy of market value estimates obtained using multiple regression analysis. Rather than eliminating the problem of spatial residual dependencies through the inclusion of many independent variables, spatial statistical methods typically keep fewer independent variables and augment these with a simple model of the spatial error dependence. We discuss alternative spatial autoregression model specifications, estimation methods, and prediction procedures. An empirical example is provided in the appendix.     

The language of US corporate environmental disclosure

We rely on prior work in environmental disclosure and corporate impression management to investigate whether there are self-serving biases present in the language and verbal tone used in corporations’ environmental disclosures. Specifically, we argue that the degree of bias in these narratives varies systematically based on firm environmental performance, hypothesizing that disclosures of worse environmental performers exhibit significantly more “optimism” and less “certainty” than their better-performing counterparts. We test our two hypotheses using a cross-sectional sample of corporate environmental disclosures contained in US 10-K annual reports. Utilizing the content analysis software DICTION to determine “optimism” and “certainty” scores for the disclosures, we find empirical support for both hypotheses. Our study contributes significantly to research in environmental disclosure by investigating bias in the use of language and verbal tone as a tool for managing stakeholder impressions and by finding empirical support for this role. Thus, the language and verbal tone used in corporate environmental disclosures, in addition to their amount and thematic content, should be considered when investigating the relation between corporate disclosure and performance.     

Trading volume and firm-specific announcements: Implications for the market model

The market model is commonly used in finance to study events and to evaluate security performance. With daily data, it is not uncommon to find low R-squares, in the range 0–10%. Prior studies have attempted to improve the fit of the model by excluding observations associated with high trading volume. In this study, we compare the results of the high-volume-exclusion approach with the more direct firm-specific announcement exclusion approach. The announcement approach excludes observations associated with Wall Street Journal Index news items regarding the firm. By excluding the [−1,0] fays relative to such news in a sample of 68 firms, we find that R-squares increase significantly by about 5%. By excluding the days relative to earnings announcements only, R-squares increase by about 4%. These results are then compared to the high-volume-exclusion approach. It is found that this approach is more efficient as an 8% increase in R-squares is produced.The results of this study provide valuable evidence to empiricists by comparing the two approaches to improving the fit of the market model. The high-volume -exclusion approach provides higher R-squares. However, the relative efficiency of the two approaches should be balanced against the arguments for the methodologically correct approach. The advantage of using the firm-specific announcement exclusion approach is that there is more confidence of excluding only firm-specific movements from the estimation of the market model. It also allows a researcher to quickly and unambiguously identify the announcements and delete the corresponding observations. Furthermore, we find that about 50% of the improved fit, relative to the volume approach, can be accomplished by excluding earnings announcements. The methodological disadvantage of using the high-volume-exclusion approach is that it is affected not only by firm-specific announcements but also by other factors, such as the heterogeneity of investor expectations. These factors may influence the choice of using firm-specific announcements rather than the high-volume approach despite the lower increment in R-squares.     

Multivariate models of hotel occupancy performance and their implications for hotel marketing

Multivariate models are developed to explain the differential occupancy performance of a sample of 279 English hotels. Following a procedure established in an earlier paper, hotels are first differentiated on the basis of their overall occupancy performance, seasonality, long‐term trend and length of season. Regression models are specified and calibrated to relate each of these dimensions of occupancy performance to the location and other characteristics of the hotels. The four models produce the expected positions of hotels in ‘occupancy performance space’, against which their observed positions can be compared. The application of the models in hotel marketing is discussed and demonstrated. Copyright © 2001 John Wiley & Sons, Ltd.     

Hours risk and wage risk: repercussions over the life cycle*

We decompose earnings risk into contributions from hours and wage shocks. To distinguish between hours shocks, modeled as innovations to the marginal disutility of work, and labor supply reactions to wage shocks, we formulate a life-cycle model of consumption and labor supply. For estimation, we use data on married American men from the Panel Study of Income Dynamics. Permanent wage shocks explain 31 percent of total risk, permanent hours shocks 21 percent. Progressive taxation attenuates cross-sectional earnings risk, but its life-cycle insurance impact is much smaller. At the mean, a one-standard-deviation hours shock raises lifetime income by 11 percent, a wage shock by 13 percent.