The Determinants of Tying Litigation, 1961–2001

The idea that changes in Supreme Court decision rules should have measurable effects on the volume of cases litigated has a compelling plausibility, and several models of litigation predict this result. The prediction is a fragile one, however, because it implies very restrictive assumptions about the probability distributions of the cases subject to dispute. The period studied includes four Supreme Court decisions widely regarded as changing the rules and altering the level of uncertainty surrounding the legality of the anti-tying provisions of the antitrust laws. Broad trends in antitrust activity generally and changes in firm profitability statistically explain over three-quarters of the observed variation in tying litigation. Changes in legal precedent have only modest effects upon litigation.

Bank reserves: A dispute over words and classification

A prominent philosophical/legal case for requiring 100% bank reserves employs a flawed style of argument. It involves essentialism (criticized by Karl Popper and Joseph Schumpeter), persuasive definitions (identified by Charles L. Stevenson), faulty classification, and the piling up of irrelevant facts and considerations.     

Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China

This paper proposes a generalized spatial panel-data probit model with spatial autocorrelation of the dependent variable, the time-invariant individual shocks, and the remainder disturbances. It proposes its estimation with a Bayesian Markov chain Monte Carlo procedure. Simulation results show that the proposed estimation method performs well in small- to medium-sized samples. This method is then applied to the analysis of export-market participation of 1451 Chinese firms between 2002 and 2006 in the prefecture-level city of Wenzhou in the province of Zhejiang. Empirical results show that two of the three forms of the hypothesized spatial autocorrelation are significant, namely the spatial lag for the dependent variable and the time-invariant firm-specific shocks, but not the time-variant shocks. Ignoring any of these significant spatial effects would lead to misspecification.     

Testing spatial regression models under nonregular conditions

In time series context, estimation and testing issues with autoregressive and moving average (ARMA) models are well understood. Similar issues in the context of spatial ARMA models for the disturbance of the regression, however, remain largely unexplored. In this paper, we discuss the problems of testing no spatial dependence in the disturbances against the alternative of spatial ARMA process incorporating the possible presence of spatial dependence in the dependent variable. The problems of conducting such a test are twofold. First, under the null hypothesis, the nuisance parameter is not identified, resulting in a singular information matrix (IM), which is a nonregular case in statistical inference. To take account of singular IM, we follow Davies (Biometrika 64(2):247–254, 1977; Biometrika 74(1):33–43, 1987) and propose a test procedure based on the supremum of the Rao score test statistic. Second, the possible presence of spatial lag dependence will have adverse effect on the performance of the test. Using the general test procedure of Bera and Yoon (Econom Theory 9:649–658, 1993) under local misspecification, we avoid the explicit estimation of the spatial autoregressive parameter. Thus our suggested tests are entirely based on ordinary least squares estimation. Tests suggested here can be viewed as a generalization of Anselin et al. (Reg Sci Urban Econ 26:77–104, 1996). We conduct Monte Carlo simulations to investigate the finite sample properties of the proposed tests. Simulation results show that our tests have good finite sample properties both in terms of size and power, compared to other tests in the literature. We also illustrate the applications of our tests through several data sets.     

Komplexität erfolgreich steuern — 27. Österreichischer Controllertag in Wien

Ohne Zusammenfassung     

The objective of a privately owned firm under imperfect competition

This paper proposes a model of imperfect competition among privately owned firms that act in the best interest of their shareholders. The existence of a solution for the model is proved under weaker conditions than the ones generally used in the literature. In particular, the results did not require the existence of a continuous equilibrium price selection or concavity assumptions on the profit function.      

Technological knowledge as an essential facility

The economics of regulation has articulated the notions of essential facility and mandated interconnection. Their application to the governance of technological knowledge can be fruitful especially when implemented by the adoption of a compensatory liability rule and the parallel reduction in the exclusivity of patents. Because knowledge is at the same time an output and an input in the production of new knowledge, exclusivity, traditionally associated to patents, is the cause of actual knowledge rationing with major drawbacks in terms of both static and dynamic efficiency. This institutional innovation can improve the governance of technological knowledge and increase both its rates of dissemination and generation.

Organizational forms in the knowledge economy: a comparative institutional analysis

This paper provides a framework with which to analyze organizational forms in the knowledge economy. We focus on an important trade-off facing modern firms: firms can acquire the property of all the innovations developed by their employees and can greatly increase their profits, yet this type of private intellectual property rights regime can discourage the innovative effort of the very same workers. Allowing workers to carry their knowledge outside the firm eliminates this disincentive. Hence, strategic complementarities may exist between innovative partners and a disclosure driven intellectual property rights regime, and passive employees and a private intellectual property rights regime. An evolutionary game theoretic model demonstrates these strategic complementarities and shows when economies tend towards disclosure driven or private intellectual property rights regimes.     

New EU member states and the Euro: economic readiness,benefits and costs

All of the new EU member states (NMSs) have made a commitment to adopt the Euro. This essay considers the countries’ economic readiness to adopt the Euro as well as the economic benefits and costs of adoption. Paper applies a method suggested by Bayoumi and Eichengreen (1997) and finds that the changes of real effective exchange rates between the Euro area and the new EU member states follow the pattern predicted by the optimum currency area theory. This finding allows the construction of the readiness for adoption index for every NMS. The tangible benefits (for NMSs) of adoption are also examined in this essay. Analyses suggest that the costs of currency exchange and hedging against the uncertainty in foreign exchange markets account for about 0.08–0.012% of the countries’ GDP. In addition, countries that adopt the Euro might expect lower inflation and interest rates. This essay also examines the possible costs of adoption. These are in the forms of the lost ability to use monetary policy tools and set the level of seigniorage. Analysis suggests that many countries had given up their independence over monetary policy even before the accession to the EU. In addition, bigger NMSs have not used seigniorage as the source of fiscal income. However, they used exchange rate flexibility to depreciate their currencies during the recent crisis.