House Prices and Stock Prices: Different Roles in the US Monetary Transmission Mechanism*

We analyze the role of house prices and stock prices in the monetary‐policy transmission mechanism in the US, using a structural vector autoregressive model. If we allow the interest rate and asset prices to react simultaneously to news, we find different roles for house prices and stock prices in the monetary transmission mechanism. Following a contractionary monetary‐policy shock, stock prices fall immediately, while the response in house prices is more gradual. Regarding the systematic response in monetary policy, stock prices play a more important role than house prices. As a consequence, house prices contribute more than stock prices to fluctuations in gross domestic product and inflation.     

Wissenstransfer in der Betriebswirtschaftslehre: Eine Untersuchung anhand ausgewählter akademischer Zeitschriften in Deutschland und Frankreich

Reviewing and analyzing new research outcomes are important prerequisites for scientific progress. If one interprets science as a universal pursuit of knowledge development, transparency and communication between national scientific systems are indispensable in order to realize international knowledge transfer and diffusion. This article examines on the basis of scientific journals in business administration in Germany and France how and to what extent such a transfer is currently taking place. The results show a high degree of isolation.     

Innovative Assets And Inter-Asset Linkages—A Resource-Based Approach To Innovation

The paper proposes a framework for analyzing assets and inter-asset linkages associated with technological innovation. The framework is consistent with a Penrosian view of the firm and draws on recent contributions from both the more general resource-based perspective and the innovation and technology perspective of the firm.

Three broad categories of firm assets are distinguished: tradeable resources, technical/functional capabilities and managerial competences. Assets for technological innovation are defined as resources, technical capabilities and managerial competences for developing new products and processes. A taxonomy of generic innovative assets is proposed that distinguishes four generic categories of innovative assets: Scientific research assets, process innovative assets, product innovative application assets and aesthetic design assets. Critical inter-asset linkages are analyzed in terms of inter-asset specificity. It is argued that high degrees of inter-asset specificity provide greater scope for innovation and make higher demands on the innovative assets and their coordination than low degrees of inter-asset specificity. It is moreover suggested that complementary assets not only play the role of assuring proper commercialization of given innovations; they may also play a critical role as a ‘focusing device’ for directing the innovative process.

Finally, some implications for strategy in innovative firms are indicated. Thus, the proposed inter-asset framework may help to specify the notion of core competences and provide a more differentiated perspective on innovation strategy and first-mover advantages.     

Why do diners tip: rule-of-thumb or valuation of service?

When diners decide how much to tip, is the decision based on social convention or on conscientious appraisal of server productivity? Previous researchers in economics and social psychology are generally inconclusive on this question. A common finding in the literature is that tip size and service quality are unrelated, a result usually obtained from OLS regressions. OLS is only appropriate if service quality is exogenous. It is argued that service quality is very likely endogenous in any regression of tip size; good quality encourages good tips, but server expectations of good tips encourage good quality. This simultaneity is accounted for by jointly estimating percentage tips and customer rankings of service quality on a sample of 247 diners in a Central Minnesota restaurant. Included are explanatory variables consistent with both the social psychology and economic views of tipping. In contrast to previous studies, it is found that service quality significantly affects tip size and when servers expect higher tips, customers rank service quality higher. Also it is found that patronage frequency and coupon redemption have no effect on percentage tips, but server gender influences quality significantly. It is concluded that the results are generally supportive of an economic hypothesis of tipping.     

The Labour Input Response to Permanent Changes in Output: An Errors-in-Variables Analysis Based on Panel Data

Using panel data for Norwegian manufacturing, we revisit 'the increasing returns to scale puzzle' for labour inputs. We consider the response of the input of white-collar workers, blue-collar workers, and blue-collar worker hours to permanent changes in output. Permanent and temporary changes in output are treated as latent variables. We compare OLS, IV, and GMM estimates of the response elasticities and conclude that the distinction between permanent and temporary changes is essential. Our GMM estimates suggest that the 'increasing returns to scale puzzle' remains for all measures of the labour input also when we consider their response to permanent changes in output. For materials, the output response indicates approximately constant returns to scale. This suggests non-homotheticity of the production technology.
JEL classification : C 23; J 23     

THE URBAN–RURAL INCOME GAP AND INEQUALITY IN CHINA

Using new household survey data for 1995 and 2002, we investigate the size of China's urban–rural income gap, the gap's contribution to overall inequality in China, and the factors underlying the gap. Our analysis improves on past estimates by using a fuller measure of income, adjusting for spatial price differences and including migrants. Our methods include inequality decomposition by population subgroup and the Oaxaca–Blinder decomposition. Several key findings emerge. First, the adjustments substantially reduce China's urban–rural income gap and its contribution to inequality. Nevertheless, the gap remains large and has increased somewhat over time. Second, after controlling for household characteristics, location of residence remains the most important factor underlying the urban–rural income gap. The only household characteristic that contributes substantially to the gap is education. Differences in the endowments of, and returns to, other household characteristics such as family size and composition, landholdings, and Communist Party membership are relatively unimportant.     

Preisdeterminanten des Stromgroßhandels in Frankreich

This article provides a model-based analysis of the French spot market for electricity. Therefore a cost optimizing dispatch model is applied in order to derive a broader understanding of the liberalized electricity market in France considering empirical spot market prices in 2009. At first analysis of market structure and power plant mix is done in accordance with the european framework. The state of supply side competition is suggested as well. Due to the high portion of nuclear energy in the French energy mix the technical availability forecast of the plants plays a crucial role during the price formation on the wholesale market. As a result prices determined by the model are highly correlated with the French spot market. The results suggest a functioning pricing mechanism although deviations occur by ex-ante uncertain demand or unscheduled non-usability of generating units.     

The measurement of pay discrimination between job assignments

The traditional Becker/Arrow model of taste discrimination in pay depicts majority and minority labour as perfectly substitutable, implying that all workers perform precisely the same job assignment and have the same qualifications. The model is thus only appropriate for determining whether ceteris paribus pay differences between white workers and non-white workers, for example, performing job assignment A are attributable to prejudice (‘within-assignment discrimination’). The model is inappropriate for determining whether ceteris paribus pay differences between white workers in assignment A and non-white workers in assignment B reflect prejudice (‘cross-assignment discrimination’). We extend the traditional model to allow for cross-assignment discrimination and we propose an empirical methodology for its estimation. In so doing we address two broad questions: (1) Do predictions about cross-assignment discrimination vary with the form of the production function?; and (2) How can one estimate such discrimination when there is no common measure of productivity? We address the first question by deriving a measure of cross-assignment discrimination for four different production functions—Generalized Leontief, Quadratic, CES, and Cobb-Douglas. The Generalized Leontief provides the most general results, although closed form solutions are not possible. Closed form solutions are obtainable from the other three functions, but only under restrictive assumptions. There are two main findings. First, most predictions are generally robust across functional forms. Second, cross-assignment discrimination depends upon productivity and labour supply differences between the two worker groups, labour market structure, and the interaction between relative group productivity and prejudice. We address the second question by outlining, for future exploration, a two-stage regression methodology in which a standardised (i.e. common) measure of productivity is estimated separately for each occupation. This measure is then incorporated as a right-hand-side explanatory variable in a second-stage, all-occupation regression designed to estimate cross-assignment discrimination. We discuss the proposed methodology with reference to a valuable and interesting test case: The market for professional sports players.