[We explore the implications of financial system design for financial innovation. We begin with assumptions about the investment opportunities of firms, their observable attributes, and the roles of commercial banks, investment banks, and the financial market. We examine the borrower's choice between bank and financial market funding, the commercial bank's choice of monitoring capacity, and the investment bank's choice of whether to invest in financial innovation. Our main result is that financial innovation in a universal banking system is stochastically lower than innovation in a financial system in which commercial and investment banks are functionally separated

This paper develops a model of the optimal investment strategy for a firm confronted with a sequence of technological innovations. We incorporate many of the most important characteristics of real-world technology markets. For example, we permit innovations to be stochastic in their arrival times and their profitability. We also incorporate learning so that firms adopting current innovations become better able to benefit from future innovations. The model yields four distinct investment strategies. The model is then used to predict actual firm policy. These implications are discussed and compared with observed firm behavior

This article uses British firm-level panel data on actual innovative activity drawn from different statistical sources to identify the effect of technical change on jobs. Previous work tends to find positive associations of proxies for technical change and employment, but such studies suffer from various statistical drawbacks. In this study, even when one controls for fixed effects, dynamics, and endogeneity, innovations have a positive and significant effect on employment, which persists over several years. There seems to be little direct role for spillover effects from industry innovations, or any role for industry wages or union power

We develop a dynamic model of the adoption of financial innovations. Each period, firms decide whether or not to adopt an innovation of uncertain value, and the profitability of each period’s adoptions reveals information about the innovation’s value. We show that characteristics of financial innovation waves cited by critics as evidence of irrational excess are, in fact, consistent with fully rational behavior. We also show that social welfare is enhanced when more firms adopt innovations of questionable value and that financial intermediaries have an incentive to encourage such adoption

[We develop a dynamic model of the adoption of financial innovations. Each period, firms decide whether or not to adopt an innovation of uncertain value, and the profitability of each period's adoptions reveals information about the innovation's value. We show that characteristics of financial innovation waves cited by critics as evidence of irrational excess are, in fact, consistent with fully rational behavior. We also show that social welfare is enhanced when more firms adopt innovations of questionable value and that financial intermediaries have an incentive to encourage such adoption

This paper shows that in a frictional labour market part of the productivity gains from general training will be captured by future employers. As a result, investments in general skills will be suboptimally low, and contrary to the standard theory, part of the costs may be borne by the employers. The paper also demonstrates that the interaction between innovation and training leads to an amplification of this inefficiency and to a multiplicity of equilibria. Workers are more willing to invest in their skills by accepting lower wages today if they expect more firms to innovate and pay them higher wages in the future. Similarly, firms are more willing to innovate when they expect the quality of the future workforce to be higher, thus when workers invest more in their skills

This paper develops a model of repeated innovation with knowledge spillovers. The model's novel feature is that firms compete on two dimensions: (1) product quality, where one firm's innovation ultimately spills over to other firms; and (2) distribution costs, where there are no spillovers across firms and where learning-by-doing on the part of incumbent firms gives them a competitive advantage over would-be entrants. Such firm-specific learning-by-doing has two important consequences: (1) it can in some circumstances dramatically reduce the long-run average level of innovation; (2) it leads to endogeneous bunching, or waves, in innovative activity

This book demonstrates alternatives to the lecture and chalkboard approach that dominates the teaching of economics, providing a range of innovative teaching techniques and examples aimed at engaging undergraduates in the learning of economics

Analysts have been found to underweight the innovation in the most recent quarterly earnings when forecasting next‐quarter earnings, and these expectations have been posited as an explanation for post‐earnings‐announcement drift. This study uses an experimental asset market to examine whether similar errors in forecasting quarterly earnings are made by student‐subjects. We examine two aspects of their behavior: (1) do subjects underestimate the autocorrelation in quarterly earnings when forming earnings expectations? and (2) are asset prices consistent with a subject's underestimation of the autocorrelation in quarterly earnings? We observe subject errors in forecasts that underweight extreme innovations in the most recent quarterly earnings by approximately 40 percent. The prices in the experimental markets also fail to reflect fully the most recent innovation in quarterly earnings. We are able to predict the sign of the incorrect pricing, from the mean initial earnings predictions of the subjects, in 74 percent of the 135 markets. These forecast errors observed in this study are consistent with forecast errors observed for analysts, and this consistency suggests that errors in analysts' forecasts may be at least partially attributable to the use of judgmental heuristics

Hyperbolic discount functions induce dynamically inconsistent preferences, implying a motive for consumers to constrain their own future choices. This paper analyzes the decisions of a hyperbolic consumer who has access to an imperfect commitment technology: an illiquid asset whose sale must be initiated one period before the sale proceeds are received. The model predicts that consumption tracks income, and the model explains why consumers have asset-specific marginal propensities to consume. The model suggests that financial innovation may have caused the ongoing decline in U. S. savings rates, since financial innovation increases liquidity, eliminating commitment opportunities. Finally, the model implies that financial market innovation may reduce welfare by providing “too much” liquidity