Liability for Past Environmental Contamination and Privatization

This paper examines the role ofliability for past environmental contaminationin the privatization processes of Central andEastern Europe. In particular, it establishes alink between a risk-averse investor's amount ofinformation regarding the extent of pastenvironmental contamination (and its cleanupcosts) and the investor's willingness to payfor a particular enterprise, i.e., bid. As theinvestor obtains a more precise estimate of theuncertain cleanup costs, the investor facesless risk; therefore, the investor's riskpremium falls and the investor's bid rises.This link generates four hypotheses regarding aprivatization agency's responses to theinvestor's knowledge of clean-up costs.     

Judgment aggregation: (im)possibility theorems

The aggregation of individual judgments over interrelated propositions is a newly arising field of social choice theory. I introduce several independence conditions on judgment aggregation rules, each of which protects against a specific type of manipulation by agenda setters or voters. I derive impossibility theorems whereby these independence conditions are incompatible with certain minimal requirements. Unlike earlier impossibility results, the main result here holds for any (non-trivial) agenda. However, independence conditions arguably undermine the logical structure of judgment aggregation. I therefore suggest restricting independence to “premises”, which leads to a generalised premise-based procedure. This procedure is proven to be possible if the premises are logically independent.     

Modelling of repairable systems with various degrees of repair

The availability of a stochastic repairable system depends on the failure behaviour and on repair strategies. In this paper, we deal with a general repair model for a system using auxiliary counting processes and corresponding intensities which include various degrees of repair (between minimal repair and perfect repair). For determining the model parameters we need estimators depending on failure times and repair times: maximum likelihood (ML) estimator and Bayes estimators are considered. Special results are obtained by the use of Weibull-type intensities and random observation times.     

Will the (German) NAIRU Please Stand Up?

Abstract. This paper deals with a critical assessment of the ‘non‐accelerating inflation rate of unemployment’ (NAIRU) for Germany. There are quite a few obstacles to perceiving the NAIRU as an easy‐to‐use analytical instrument: the possibility of a non‐vertical Phillips curve, the occurrence of shocks and hysteresis effects, and the (mis‐)measurement of important variables, cointegration issues and a time variability of the NAIRU. A new attempt is made to estimate a NAIRU for Germany using direct measures of inflationary expectations. However, by any method, the NAIRU is very hard to determine and subject to considerable arbitrariness.     

Productivity and Technical Change in Malaysian Banking: 1989–1998

This study examines the impact of deregulation and technological change on the productivity of Malaysian banks over the period 1989–1998. Malmquist indices constructed with nonparametric DEA techniques are decomposed into their pure efficiency, scale efficiency, and technological change components. Our findings indicate an erosion of banking productivity that masks divergent tendencies among its component elements. These are dominated by adverse effects of technological change, which are associated with a reduction in the labor intensity of banking activity. Consistent with the mixed findings reported in the literature, the present investigation suggests that regulatory reform and liberalization are not sufficient conditions for productivity improvement.JEL classification: D24, G21This paper was written while Dogan was a member of Monash University Malaysia. Financial support from the Faculty of Business and Economics at Monash University is gratefully acknowledged, as are the constructive comments from two anonymous referees.     

Inequality, Crime and Economic Growth. A Classical Argument for Distributional Equality

This paper studies the dynamic general-equilibrium interactions between inequality, crime and economic growth by embedding the rational choice-theoretical approach to criminal behavior in a heterogeneous-agents endogenous-growth OLG model. Based on their respective opportunity costs, individuals choose to specialize in either legal or criminal activities. While legal households contribute to aggregate goods supply over time by either working or building human capital, criminals make a living by expropriating legal citizens of part of the latter's income. An increase in inequality lowers the economy's growth rate and possesses negative welfare effects for all agents with endowments equal to or above average and for agents with endowment below average that are born sufficiently far in the future.     

Will FinTech make regional banks superfluous for small firm finance? Observations from soft information-based lending in Germany

Regional banks have a competitive advantage in that short distances to clients enable the use of soft information for superior lending decisions. If the ambition of FinTech start-ups to create superior screening and monitoring technologies materialises, this advantage would be diminished and regional banks would become superfluous for small firm finance. To explore this claim, the paper in hand analyses qualitative empirical data about the lending processes and rating system use of regional German savings banks. In essence, the results from participant observation and interviews clarify the importance of “real” soft information for critical lending decisions. The context specificity and limited verifiability of “real” soft information hamper it from being hardened through the use of rating systems and other bank-ICT. Though FinTech's scoring technologies may overcome the first limitation, it appears likely that in the course of scoring development “real” soft information will be systematically crowded out due to the manipulation problem. The paper expects improved access to finance for SMEs if FinTech solutions overcome both limitations of “real” soft information use, or if peer-to-peer lending and regional banks coexist. Deteriorated access to finance is expected if FinTech companies displace the relationship banking of regional banks due to enhanced competition, without preserving the advantages of “real” soft information with superior screening and monitoring technologies. The paper concludes with recommendations on how to prevent deteriorated access to finance for small firms by promoting fair competition and FinTech innovations.     

The determinants of commercial banking profitability in low-, middle-, and high-income countries

Using a broad bank-level dataset and the GMM estimator technique described by Arellano and Bover (1995), this paper analyses how bank-specific characteristics, macroeconomic variables, and industry-specific factors affect the profitability of 10,165 commercial banks across 118 countries over the period from 1998 to 2012. Grouping the countries according to three income levels, we show that the determinants of bank profitability included in our model can explain existing profitability differences among commercial banks in low-, middle-, and high-income countries. The profitability determinants vary quite widely across the different levels of income in terms of significance, sign and size of the effect. The level of income has thus an important impact on the determinants of bank profitability.