Adjustment costs and time-to-build in factor demand in the U.S. manufacturing industry

In order to explain cyclical behavior of factor demand, the static neoclassical model of the firm has been extended to include either adjustment costs (e.g. Lucas (1967)) or time-to-build considerations as in Kydland and Prescott (1982). This paper presents an intertemporal factor demand model which accounts for adjustment costs and gestation lags. The closed form solution of the model is a highly restricted vector ARMA-process that is estimated using quarterly data for the manufacturing industry in the U.S., 1960–1988. The main conclusion is that both sources of dynamics of factor demand are identifiable and found to be empirically of importance.     

Testing the dynamic specification of an econometric model with an application to Belgian data

In this paper, we analyze the Final Equation and Transfer Function form associated with a linear dynamic simultaneous equation model and use the empirical findings as a guidance to a structural form specification in accordance with the information in a sample of monthly Belgian data.     

Stock Markets,Banks and Long Run Economic Growth: A Panel Cointegration-Based Analysis

The aim of this paper is to investigate the long run relationship between the development of banks and stock markets and economic growth. We make use of a Johansen-based panel cointegration methodology allowing for cross-country dependence to test the number of cointegrating vectors among these three variables for 5 developing countries. In addition, we test the direction of potential causality between financial and economic development. Our results conclude to the existence of a single cointegrating vector between financial development and growth and of causality going from financial development to economic growth. We find little evidence of reverse causation as well as bi-directional causality. We interpret this as evidence supporting the significance of financial development for economic development although banks and stock markets may have different effects depending on the level of economic development.     

A Classification of Dutch Manufacturing based on a Model of Innovation

Summary The paper studies the degree of homogeneity of innovative behavior in order to determine empirically an industry classification of Dutch manufacturing that can be used for policy purposes. Defining homogeneity in terms of an economic model distinguishes our classification from existing taxonomies such as those of the OECD, Pavitt and the various classifications based on a principal components analysis. We use a two-limit tobit model with sample selection, which explains the decisions by business enterprises to innovate and the impact these decisions have on the share of innovative sales. The model is estimated for eleven industries based on the Dutch Standard Industrial Classification (SBI 1993). A likelihood ratio (LR) test is then performed to test for equality of the parameters across industries. We find that Dutch manufacturing consists of three groups of industries in terms of innovative behavior, a high-tech group, a low-tech group and the industry of wood. The same pattern shows up in the three Dutch Community Innovation Surveys. The empirical part of this study has been carried out at the Centre for Research of Economic Microdata at Statistics Netherlands. The authors wish to thank Statistics Netherlands, and in particular Bert Diederen, for helping us in accessing and using the Micronoom data set. The views expressed in this paper are solely those of the authors. The authors also wish to thank Fran?ois Laisney, Patrick Waelbroek and participants at presentations in Maastricht, Strasbourg, Leuven and Lille for their helpful comments. The first author acknowledges financial support from METEOR.     

The determinants of nursing home costs in Nebraska's proprietary nursing homes.

In the past few years nursing home care expenditures in Nebraska and the U.S. have been the fastest growing component of total health care expenditures. This rate of increase is particularly alarming in view of the fact that nursing home care is financed primarily by the Medicaid program or direct out-of-pocket payments. In fact, given the cutbacks in federal and state funds for this program, consumers will be forced to allocate a larger share of their income to meet the costs of nursing home care. Although nursing home expenditures have grown at an extremely rapid rate, relatively few empirical studies exist which analyze the cost function of nursing home providers. The purpose of this study is to identify factors which have directly influenced the cost of nursing home care in Nebraska and to evaluate the current Nebraska Medicaid reimbursement system in terms of its impact upon nursing home costs. The study was limited to a sample of 40 nursing homes in Nebraska which represents 42% of the total proprietary nursing homes in the state. The sample was limited to those facilities licensed only as an Intermediate Care Facility--I and they had to be receiving some Medicaid revenue. The data were averaged over the period of 1977-79, but the year of analysis corresponded to 1978. Multiple regression analysis was used to measure the effect of the hypothesized independent variables upon two different measures of cost--the average total cost per patient day and the average variable cost per patient day. In the first regression model 76% of the variance was explained and 71% was explained in the second equation. The results of this analysis are basically consistent with the findings of other studies and indicate that the number of staffing hours, patient mix, facility age, administrator experience and administrative intensity are significant determinants of nursing home costs. The most important finding from a policy perspective is that the current retrospective cost-related Medicaid reimbursement system does not provide incentives for minimizing costs. In fact, the present system encourages administrators to overutilize resources and charge higher prices. Considerable evidence exists which suggests that a prospective system would encourage a more efficient allocation of resources without adversely affecting the quality of care. Given the increase in the state's share of the total Medicaid budget, it would appear that a change to a prospective system is critical in order to maintain the financial accessibility to nursing home care by all Nebraska residents.     

Financial Constraints and Other Obstacles: are they a Threat to Innovation Activity?

Summary  In this paper we examine the importance of financial and other obstacles to innovation in the Netherlands using statistical information from the CIS 3.5 innovation survey. We report results on the effect of these obstacles on the firms’ decision to abandon, prematurely stop, seriously slow down, or not to start an innovative project. These results are compared with those from other studies in the Netherlands and other countries. We end with a discussion of policy measures that have been taken to overcome, or at least attenuate these obstacles, such as R&D tax incentives, venture capital financing and policy mix packages.      

The ‘Jim Factor’—My Experience as a First-Time Accounting Tutor

Sandy Burton was a seasoned academic who played a major role in shaping American accounting regulation in the latter part of the twentieth century. A vocal reformer, he became a vigorous SEC Chief Accountant and thereafter New York City Deputy Mayor. He was a critic of accounting practice as well as academe, preaching the gospel of reform in writings and speeches. Contending that accounting was too narrowly focused, he called upon the accounting community to reinvent itself. He was profoundly dissatisfied with the nature of academic accounting research because it had been irrelevant to practice. Burton earned considerable respect for attempting to bridge the gap between accounting practice and academe.