This paper develops a search-theoretic model of technological change to explain why both patenting and the growth of productivity have remained roughly constant while research employment in the United States has increased by a factor of six over the past four decades. In the model, researchers sample from probability distributions determining the efficiency of potential new production techniques. Technological breakthroughs, resulting in patents, become increasingly hard to find as the level of technology advances. Given certain restrictions on the search distributions, the equilibrium of the model replicates the U.S. time-series pattern of research, patenting, and productivity.

We examine the methods commonly employed to estimate Tobin's q ratios and find them to be flawed in design and arbitrary in implementation. We propose an alternative procedure which is both simpler and more accurate. The key to the procedure is an improved measure of fixed asset replacement costs, through the proper identification of the vintages of fixed assets that are in place for a firm. Application of this procedure to a large sample of nonfinancial corporations indicates that existing methods generally produce downward-biased measures of q and can result in errors in the ordering of firms by their q's.

Our simulation results show that tests for long-horizon (i.e.. multi-year) abnormal security returns around firm-specific events are severely misspecified. The rejection frequencies using parametric tests sometimes exceed 30% when the significance level of the test is 5%. Our results are robust to many different abnormal-return models. Conclusions from long-horizon studies require extreme caution. Nonparametric and bootstrap tests are likely to reduce misspecification.

Fundamental Analysis, Stock price, Fundamental signals, Future earnings

Stadard asset pricing models generally exclude corporate control and liquidity considerations as joint explanatory factors of the stock price formation process. This empirical study investigates their influence on Swiss Bearer and Registered share prices issued by the same firm. It is shown that the statistical properties of both shares' returns differ without implying profitable arbitrage opportunities. A multifactor model of the ‘premium’ between Bearer and Registered stock prices is then proposed and tested. The results show that the freely negotiable equity book value, the existence of dominant shareholder positions and ownership transfer regime changes are significant variables in explaining the dual class share price differential.