Estimation of a dynamic demand function for gasoline with different schemes of parameter variation

In this article we explore the consumer demand for gasoline within the framework of the household production function model. Working with a time series of regional cross-sections, we find the parameters in the gasoline demand model varying across states. Random coefficient model is utilized to analyze temporal cross-section data.     

Relative efficiencies of some simple Bayes estimators of coefficients in a dynamic equation with serially correlated errors - II

Generalized least squares estimators, with estimated variance-covariance matrices, and maximum likelihood estimators have been proposed in the literature to deal with the problem of estimating autoregressive models with autocorrelated disturbances. In this paper we compare the small sample efficiencies of these estimators with those of some approximate Bayes estimators. The comparison is done with the help of a sampling experiment applied to a model specification. Though these Bayes estimators utilize very weak prior information, they out-perform the sampling theory estimators in every case we consider.     

Patterns of development and acquisitions for silicon valley startups

The patterns of development of 250 high-technology firms, are examined. As of 1980, 36.8% of these firms had discontinued, 30.8% were surviving and independent, and a remarkably high 32.4% had been acquired. The characteristics of both the acquired and acquiring firms are examined and reveal distinctive patterns of acquisition.     

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