Difference in difference meets generalized least squares: Higher order properties of hypotheses tests

We investigate the estimation and inference in difference in difference econometric models used in the analysis of treatment effects. When the innovations in such models display serial correlation, commonly used ordinary least squares (OLS) procedures are inefficient and may lead to tests with incorrect size. Implementation of feasible generalized least squares (FGLS) procedures is often hindered by too few observations in the cross-section to allow for unrestricted estimation of the weight matrix without leading to tests with similar size distortions as conventional OLS based procedures. We analyze the small sample properties of FGLS based tests with a formal higher order Edgeworth expansion that allows us to construct a size corrected version of the test. We also address the question of optimal temporal aggregation as a method to reduce the dimension of the weight matrix. We apply our procedure to data on regulation of mobile telephone service prices. We find that a size corrected FGLS based test outperforms tests based on OLS.     

Variance-minimizing monetary policies with lagged price adjustment and rational expectations

This paper considers a macroeconomic model with rational expectations in which prices are incompletely flexible. Markets therefore fall to clear. In such a model monetary policy is not neutral. The variance of real and nominal quantities and interest rates is sensitive to the parameters of the feedback rule that determines the money supply. The monetary policy that achieves the goal of minimizing the steady-state variance of real output is characterized. We also examine monetary policies that are restricted in their generality and derive ‘second-best’ variance-minimizing feedback rules.     

The Information Content of Australian Managed Fund Ratings

Abstract:  We examine the information content of managed fund ratings for Australian retail investors. Because fund ratings, premised on a quantitative-qualitative model, are highly transitory, we question whether investors formulate their investment decisions with respect to changes in ratings and whether ratings, in turn, react to fund flows. We find that information regarding fund flows can be obtained from ratings, and that rating changes can have far-reaching effects. Investors flock to newly upgraded funds while they penalize those that have been downgraded by withdrawing funds. Investors are constantly anticipating ratings revisions, particularly downgrades, and we attribute this phenomenon to the role of qualitative factors in the ratings.     

Identification and estimation of polynomial errors-in-variables models

Methods of estimation of regression coefficients are proposed when the regression function includes a polynomial in a ‘true’ regressor which is measured with error. Two sources of additional information concerning the unobservable regressor are considered: either an additional indicator of the regressor (itself measured with error) or instrumental variables which characterize the systematic variation in the true regressor. In both cases, estimators are constructed by relating moments involving the unobserved variables to moments of observables; these relations lead to recursion formulae for computation of the regression coefficients and nuisance parameters (e.g., moments of the measurement error). Consistency and asymptotic normality of the estimated coefficients is demonstrated, and consistent estimators of the asymptotic covariant matrices are provided.     

Using Video Surveys to Access Dispersed Backcountry Visitors' Norms

Image Capture Technology (ICT), or the capture and editing of photographic images using microcomputers, has been used in a variety of settings to assess social and ecological impacts. This study illustrates the application of this technology in a VHS videotape survey designed to assess visitors' norms for varying numbers of watercraft, sounds from aircraft and motorized boats, and the acceptability of floating outfitting camps. Acceptability ratings for three setting contexts (access areas, attraction sites, and wild places) within Gwaii Haanas National Park Reserve, British Columbia, were evaluated. Methodologically, use of the videotape survey proved to be a cost effective vehicle in evaluating both sight and sound impacts. More than 75% of the respondents indicated that the images served as useful reminders of their visit and helped them articulate their norms. These normative standards were consistent with other studies conducted in backcountry areas. The implications of this technology for addressing natural resource management issues are discussed.     

Appraising Intangible Assets from the Viewpoint of Value Drivers

This article does not intend to actually valuate intangible assets but focuses to investigate the relative value distribution of corporate intangible assets, and this links closely to the concept and application of value drivers. This is because we believe that drivers or attributes of the value significantly determine how the virtual value of these intangibles can be created for companies. We apply the analytic hierarchy process (AHP) to the appraising process of intangible assets. The AHP method can mainly sort the non-financial value drivers in order according to their weighted contributions. Therefore, the key purpose of this article is to develop a tentative model for the evaluation of intangible assets, which helps business to correctly appraise corporate value ratios and avoid bias due to mainly relying on financial statements when measuring an entity’s value. In addition, in view of the significant proportion of intangible assets over total assets in high-technology industries, this research, then, uses six industries in Hsinchu Science Park, Taiwan, as its research objects in order to test the applicability of its model, as well as exploring the value weights of intangible assets and its evaluation among different technology industries. Besides, the empirical result of this article is mainly to support business appraisal and thus improves the effectiveness of value-based management.