Understanding platform competition through simulation: a research outline

ABSTRACT

Platform competition shapes and is shaped by a constantly changing socioeconomic context. Three trends provide evidence for this: (i) the number of firm level relevant factors for platform success is steadily increasing, (ii) contemporary cases of platform competition take less time to unfold, and (iii) industries converge. These trends suggest that there is a change: in the time required for relevant factors to influence platform competition, and in the trade-offs managers face when they take actions in platform development and competition, to influence the market outcome of such processes. Current frameworks in the literature do not account explicitly for such timing issues. The use of modelling and simulation, along empirical cases, is a way to incorporate timing and strategic action delays in platform competition research. We explore the multi-level research agenda this opens up and develop nine research questions for platform competition research.     

A Note on the Teaching of Economics Through American History

McConnell examines problems connected with measuring the readability of introductory economics textbooks and observes that an index of readability based on sentence length and the number of syllables per some given number of words may be deficient, misleading, and possibly counterproductive. In this connection, he observes that “virtually no work has been undertaken to determine whether the choice of textbook is a significant factor in determining student understanding and performance.” Research in this area might make it possible to substitute empirical evidence for what most instructors in their selection of a textbook attempt to intuit.     

Construction of an economic index to measure the causes of economic insecurity

This paper is an updated study on the causes of economic insecurity in the United States. The authors have constructed an aggregate composite index that measures objectively the major causes of economic insecurity (CEI) in the United States. The CEI index consists of 11 variables that can cause economic insecurity. The time period under investigation is 1960 through 2001. A rising CEI index indicates that the causes of economic insecurity in the United States have increased in relative importance, which results in an increase in economic insecurity. Conversely, a falling CEI index indicates that the causes of economic insecurity have declined in relative importance, which results in a reduction of economic insecurity. However, despite substantial economic growth in the American economy from 1960 through 2001, the CEI index overall showed little improvement. The major conclusion is that the CEI index was 9 percent higher in 2001 than it was in 1960. This result was due largely to the increase in divorce, violent crime, rising out-of-pocket expenditures for health care, inflation, and unemployment. The results for subperiods are dramatically different, and we think more interesting, than the overall results. During the 1960s, there was a small decline in the CEI index. The 1970s showed a dramatic increase in the CEI index, which reflected both high unemployment rates and inflation rates during this period. The 1980s experienced fluctuating levels in the index but little overall change, and the 1990s experienced a sharp decline in the CEI index due largely to a robust economy. The CEI index has increased more recently, which reflects largely the recent 2001 business recession. The correlation coefficient of the CEI index with the University of Michigan's well-known Index of Consumer Sentiment is ?676. This figure shows that as the CEI index rises, consumer sentiment about the American economy becomes pessimistic and negative.     

The Economics and Financing of Hospitals in Australia

The Australian hospital industry is described and it is noted that the term ‘hospital’ is applied to a wide range of institutions. The main problems and issues associated with hospitals are discussed, including the lack of adequate methods of measuring their ‘products’ and of allocating funds to them. The role of the medical staff in influencing the ‘demand’ for hospital beds and in resource allocation is emphasised as a major influence on hospital behaviour. In a study of the determinants of the costs of Victorian public hospitals it was found that the complexity of the case-mix as measured by diagnosis related groups (DRGs) was a major determinant of teaching hospital costs but not of those of other large hospitals. DRG-based funding and costing of hospitals is recommended as a strategy for achieving increased efficiency.     

Revisiting and extending our understanding of Pierre Wack's the gentle art of re-perceiving

Pierre Wack's 1985 Harvard Business Review papers are two of the most frequently referenced in the scenario planning literature. Wack argued that planning had to be based on the more predictive elements of the business environment. If not, plans would be based on uncertainty and a ‘best guess’ basis. Yet there is a lack of subsequent empirical research to investigate Pierre Wack's contribution. The research findings presented in this paper extend our understanding of Wack's contribution. We show how social discourse during scenario building helped to make sense and reveal the significance of historical events. These historical events were seen, but not previously understood; consequently a new understanding of reality emerged. The findings are in contrast to Wack's explanation of re-perceiving and extend our understanding of the basis of re-perceiving with scenarios.     

The Effect of Protest Votes on the Estimates of WTP for Use Values of Recreational Sites

Contingent valuation studies are often characterized by a considerable number of protest responses, which may cause selectivity bias on the final estimates for WTP. Sample selection models can detect and – if necessary – correct selectivity bias. In economic applications where the relevant dependent variable is continuous, sample selection models are generally estimated using Heckman's 2-step method rather than the FIML estimator. Either method has its own drawback: computational complexity for the FIML method, susceptibility to collinearity problems for the 2-step method. Using data on valuation of forest resources for recreational use, we analyse the performance of the two estimators. In this application, given the presence of some collinearity, the FIML is preferred to the 2-step method. A procedure is outlined to deal with selectivity problems in similar settings.     

Friedman's Money Supply Rule vs. Optimal Interest Rate Policy

Using New Keynesian models, we compare Friedman's k‐percent money supply rule to optimal interest rate setting, with respect to determinacy, stability under learning and optimality. First we review the recent literature: open‐loop interest rate rules are subject to indeterminacy and instability problems, but a properly chosen expectations‐based rule yields determinacy and stability under learning, and implements optimal policy. We show that Friedman's rule also can generate equilibria that are determinate and stable under learning. However, computing the mean quadratic welfare loss, we find for calibrated models that Friedman's rule performs poorly when compared to the optimal interest rate rule.