A data-pooling approach to estimate employment multipliers for small regional economics /

Issued May 1978.

Alphabet of economic science.

Pt. 1. Elements of the theory of value or worth.

The Business Council: a review of its activities since its original formation under the name Business Advisory Council for the Department of Commerce, June 1933-March 1963.

Mode of access: Internet.

Macroeconomic Dynamics of Market Risk Capital Requirements and Credit Supply Interdependence

Thesis (Ph.D.)--University of Washington, 2016-06

Electronic commerce investments, the resource-based view of the firm, and firm market value

Firms have embraced electronic commerce as a means of doing business, either because they see it as a way to improve efficiency, grow market share, expand into new markets, or because they view it as essential for survival. Recent research in the United States provides some evidence that the market does value investments in electronic commerce. Following research that suggests that, in certain circumstances, the market values noninnovative investments as well as innovative investments in new products, we partition electronic commerce investment project announcements into innovative and noninnovative to determine whether there are excess returns associated with these types of announcements. Apart from our overall results being consistent with the United States findings that the market values investments in electronic commerce projects, we also find that noninnovative investments are perceived as more valuable to the firm than innovative investments. On average, the market expects innovative investments to earn a return commensurate with their risk. We conclude that innovative electronic commerce projects are most likely seen by the capital market as easily replicable, and consequently have little, if any, competitive advantage period. On the other hand, we conclude from the noninnovative investment results that these types of investments are seen as being compatible with a firm's assets-in-place, in particular, its information technology capabilities, a view consistent with the resource-based view of the firm.

A Bayesian approach to imposing curvature on distance functions

The estimated parameters of output distance functions frequently violate the monotonicity, quasi-convexity and convexity constraints implied by economic theory, leading to estimated elasticities and shadow prices that are incorrectly signed, and ultimately to perverse conclusions concerning the effects of input and output changes on productivity growth and relative efficiency levels. We show how a Bayesian approach can be used to impose these constraints on the parameters of a translog output distance function. Implementing the approach involves the use of a Gibbs sampler with data augmentation. A Metropolis-Hastings algorithm is also used within the Gibbs to simulate observations from truncated pdfs. Our methods are developed for the case where panel data is available and technical inefficiency effects are assumed to be time-invariant. Two models-a fixed effects model and a random effects model-are developed and applied to panel data on 17 European railways. We observe significant changes in estimated elasticities and shadow price ratios when regularity restrictions are imposed. (c) 2004 Elsevier B.V. All rights reserved.

Why is economics not a complex systems science?

The article argues that economics will have to become a complex systems science before economists can comfortably incorporate institutionalist and evolutionary economics into mainstream theory. The article compares the complex adaptive system of John Foster with that of standard economic theory and illustrates the difference through an examination of familiar production function. The place of neoclassical, Keynesian economics in complex systems is considered. The article concludes that convincing, multiple models have been made possible by the increase in widely available computing power available.

Some economic dimensions of the mental health jigsaw in Australia

The purpose of this paper is to demonstrate that, although there are some unique features associated with mental illness, such special features do not preclude economic analysis. As a mechanism for understanding how individual economic studies fit into the mental health sector, a conceptual framework of the components of mental health service provision is outlined. Emphasis is placed on, not simply institutional and market resources, but also on the services provided by relatives, self-help groups, etc. Australian data on parts of the mental health sector are employed to illustrate that some (and different) economic analyses can be undertaken in mental health. First, time-series data on public psychiatric hospitals are employed to demonstrate trends associated with deinstitutionalisation. Other data (for Queensland alone) indicate that there are state-based differences in the provision of such services. Second, attention is then directed to the analysis of time-series data on private fee-for-service psychiatric services. Various concepts and measures from industrial economics are applied to analyse the relative size of this service industry, the pricing behaviour of the profession, the service-mix of "the psychiatry firms" operating in Australia.