Total factor productivity growth in banking: The Israeli banking sector 1979–1982

The primary focus of this paper is the modeling and estimation of total factor productivity growth in banking. The measured total factor productivity growth is decomposed into its main components: 1) scale economy and output growth, 2) branching effect, and 3) technological change effect. Our findings indicate that total factor productivity grew at an annual average rate of 7.8% for the 1979–1982 period but this growth has slowed down to only 2.9% for the 1981–1982 period. Scale economy and output growth have contributed to about four-fifths of the growth, whereas branch growth and technical change have contributed to one-fifth of the growth. An important observation is the increasing importance of both branch growth and technical change throughout the period, especially for smaller banks.The refereeing process of this paper was handled by J. van den Broeck.     

On the approximation of utility functions for faculty teaching assignments

A number of mathematical programming models have been proposed for generating faculty teaching assignments. Usually these models attempt to maximize the sum of the faculty members' utilities for the courses in the assignments. This paper demonstrates that the use of course utilities ignores important interaction effects in the determination of a faculty member's utility for a teaching schedule. As a result, solutions generated by the models can be far from optimal if the true objective of the scheduler is to maximize faculty utilities for their teaching schedules.     

March Market Madness: The Impact of Value‐Irrelevant Events on the Market Pricing of Earnings News

Each year, the NCAA basketball tournament (March Madness) is a daytime distraction for millions of people, providing a largely exogenous shock to investor attention. We investigate whether March Madness influences the market response to earnings by diverting investor attention away from earnings news. We find that the price reaction to earnings news released during March Madness is muted. This result generally holds across several samples and additional analyses. We also find that the result is more muted for low institutional ownership firms, consistent with the effect being driven by less‐sophisticated investors. Furthermore, we find that it takes the market 30 to 60 days to correct for the distraction effect. Overall, we provide a unique test of the theory of limited attention by documenting that extraneous events can have a significant impact on the pricing of earnings.     

Rock around the clock: An agent-based model of low- and high-frequency trading

We build an agent-based model to study how the interplay between low- and high-frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt trading rules based on chronological time and can switch between fundamentalist and chartist strategies. By contrast, high-frequency traders activation is event-driven and depends on price fluctuations. High-frequency traders use directional strategies to exploit market information produced by low-frequency traders. Monte-Carlo simulations reveal that the model replicates the main stylized facts of financial markets. Furthermore, we find that the presence of high-frequency traders increases market volatility and plays a fundamental role in the generation of flash crashes. The emergence of flash crashes is explained by two salient characteristics of high-frequency traders, i.e., their ability to i. generate high bid-ask spreads and ii. synchronize on the sell side of the limit order book. Finally, we find that higher rates of order cancellation by high-frequency traders increase the incidence of flash crashes but reduce their duration.     

Effects of songs with prosocial lyrics on tipping behavior in a restaurant

Recent research has shown that exposure to songs with prosocial lyrics was associated with prosocial behavior and accessibility of prosocial thoughts. However theses studies were performed in a laboratory setting where participants were instructed to listening songs alone in a room. So the effect of prosocial songs in a natural setting, with several people in a room and with various ambient noises still remained in question. An experiment was carried out in a restaurant in order to test if listening or not, prosocial songs by patrons, was associated with variation in their tipping behavior. Results showed that prosocial songs were associated with a significant increase in tipping behavior.     

Types of technological scanning in manufacturing SMEs: an empirical analysis of patterns and determinants

As the component of environmental scanning that is concerned with science and technology, products, production processes, hardware and information systems, the concept of technological scanning, especially in small business, has received little empirical attention in the past. This paper aims to better define the different technological scanning practices of small and mediumsized enterprises (SMEs) and identify the main factors that determine these differences. This is done without relation to organizational effectiveness as technological scanning is but one of many potential influences on business performance. Using data obtained from a mail survey on the scanning practices of 324 SMEs, the study hopes to increase our understanding of how various entrepreneurs confront various environments in practice. The research model used is based on the notion that, to define different technological scanning practices in small business, four aspects must be considered: strategic orientation (objectives pursued); types of information sought (on technologies and their costs, human resources necessary, etc.); sources used (customers, fairs, specialized publications, suppliers, research centres, etc.); and scanning management practices (methods used, staff involved, level of formalization, and integration of activities). These aspects are contingent upon four factors: the managers' profile; their perception of the environment; their firm's characteristics; and their information network. A cluster analysis reveals that the sampled firms can be grouped into four separate categories, according to the intensity of their technological scanning activities and the type of strategy used. In the first category, where scanning is most developed, the SMEs emphasize cost reduction and control, followed by improvements in competitiveness; they seek mainly financial and human resource information, and use their own internal resources to obtain it. A second category, where scanning is least developed, puts the emphasis on increasing production capacity and flexibility; these SMEs seek very diverse information from many sources. Of the two intermediate groups, one aims to diversify and increase the quality of products and services; marketing information is obtained through customers, suppliers and subcontractors. The other, whose scanning is better organized, favours increasing production capacity through innovation and market information with the help of governmental and financial institutions. This research concludes that there is no ‘one best way’ to environmental scanning in manufacturing SMEs, and that it all depends upon the organization, its objectives and its environmental pressures.     

Late Industrialization and Structural Change: Indonesia, 1975–2000

This paper examines economic growth and structural change in Indonesia during the period 1975–2000 using an input–output-based structural change decomposition method. The analysis focuses on the sources and pattern of growth during three phases of economic development: the inward-oriented phase from 1975 to 1985; the outward-oriented phase from 1985 to 1995; and the recent phase of crisis and recovery from 1995 to 2000. Growth during the first phase, although impressive, was moderate in comparison with the export-led manufacturing-driven growth during the second phase. During both these phases, the Indonesian economy witnessed significant structural changes, especially within manufacturing. However, the dynamics underlying growth and structural change showed important differences. Although growth under the first two policy regimes was assisted by favourable economic circumstances, selective industrial policies may also have played a significant role. The results suggest that the long neglect of the technological foundations and human capital base of the economy could be holding back recovery and sustained growth in the present phase.