Expected inflation and the optimal number of nominal wage rate revisions

A neglected aspect of wage contracts, namely the number of times that the nominal wage rate will be revised during the course of a non-indexed contract, is considered. Theory and evidence suggest that the optimal number of revisions depends on the cost of each revision, expected inflation and contract length.     

Random coefficient regression and the long-run phillips curve for the U.S.

This research suggests that a random coefficient regression model is well-suited for analyzing long-run versus short-run movements in wages and unemployment and is an improvement over some empirical techniques typically used.     

Seasonal decomposition and forecasting of telecommunication data: A comparative case study

In this paper, forecasting models for the monthly outgoing telephone calls in a University Campus are presented. The data have been separated in the categories of international and national calls as well as calls to mobile phones. The total number of calls has also been analyzed. Three different methods, namely the Seasonal Decomposition, Exponential Smoothing Method and SARIMA Method, have been used. Forecasts with 95% confidence intervals were calculated for each method and compared with the actual data. The outcome of this work can be used to predict future demands for the telecommunications network of the University.     

The effect of income taxation on the labor supply of married men in Sweden

This paper presents labor supply functions estimated on a sample of prime age Swedish males. The model used takes account of the nonlinear character of individuals' budget sets caused by the progressive income tax. It also allows preferences to vary between individuals. Calculations with the estimated functions, using a partial equilibrium framework, indicate a sizeable effect of the income tax on hours of work. The average expected deadweight loss of the income tax is found to be approximately 20 percent of tax revenue.     

The effect of annual changes in automobile fuel economy standards

Since 1978 the Federal government has regulated the fuel economy of new cars sold in the United States. The purpose of Corporate Average Fuel Economy (CAFE) standards is to lessen the national dependence on foreign oil. Through the use of theoretical and empirical models this paper examines the impact of CAFE standards on the automobile industry and on energy consumption. It is shown that CAFE standards may or may not save energy. If CAFE does save energy, it does so at a prohibitive cost to the economy. CAFE standards are also shown to have a number of perverse impacts on the automobile industry as well as consumers.     

Estimation of location of discontinuity in a density

Here we propose a few estimators of θ, in addition to those studied in Goria (1978), the point of discontinuity of the probability density $$f(x,\theta ) = \frac{1}{{2\Gamma (\alpha )}}e^{ - |x - \theta |} |x - \theta |^{\alpha - 1} ,$$ for $$0< \alpha< 1, - \infty< x< \infty , - \infty< \theta< \infty .$$ We establish the consistency and the optimality of the Bayes and the maximum probability estimators. Despite their nice properties, these estimators are not easy to compute in this case and their effective computation depends on the knowledge of the exponent α. Hence, we propose another class of estimators, dependent upon the spacings of the observations, computable without actual knowledge of the value of α as long as it is known that α < α₀ < 1: we show that these estimators converge at the best possible rate. We further demonstrate, using a modified version of the maximum probability estimator's technique, that the tails of the density do not substantially effect their efficiency. Finally a bivariate family of densities, having a ridge dependent on the parameter θ, is considered and it is shown that this family exhibits features similar to the univariate case, and thus, the necessary modifications of the arguments of the univariate case are utilized for the estimation of θ in this bivariate example.     

Computerization and Structural Change

I develop three measures of structural change on the basis of U.S. data: changes in occupational composition, changes in input–output technical coefficients, and changes in capital coefficients. Using pooled cross-section, time-series data for 44 industries over the period from 1970 to 1990, I find that computer investment per worker has had a positive and significant effect on the degree of occupational change and changes in input and capital coefficients.     

Symposium on Social Capital: Introduction

This symposium contains three papers that discuss aspects of social capital. Social capital has become a major focus of research in many social sciences. Its increased prominence in economics reflects a general increase in interest in questions that have traditionally been deemed sociological. Regardless of one's opinion of social capital per se , this broadening of questions addressed within economics has been very salutary.