What Do Corruption Indices Measure?

Evidence from the International Crime Victimization Survey and the World Business Environment Survey suggests that actual corruption experience is a weak predictor of reported corruption perception, and that some of the factors commonly found to “reduce” corruption, such as economic development, democratic institutions or Protestant traditions, systematically bias corruption perception indices downward from corruption experience. In addition, perception indices are influenced by absolute (as opposed to relative) levels of corruption, which tends to penalize large countries, and they exhibit diminishing sensitivity to both absolute and relative corruption, indicating that they may better capture differences among countries with low levels of corruption than among highly corrupt ones. Individual characteristics such as education, age, or employment status, and firm‐level characteristics such as the number of competitors are also found to influence corruption perceptions holding experience constant.     

Campaign finance regulation with competing interest groups

Regulatory caps on contributions to political campaigns are the cornerstones of campaign finance legislation in many established democracies, and their introduction is considered by most emerging ones. Are these regulations desirable? This paper studies contribution caps in a menu auction lobbying model with limited budgets and costly entry. In the absence of entry, contribution caps improve welfare by “leveling the political playing field”. With entry, however, a competition effect and a bargaining effect may arise, resulting in inefficient entry and exit decisions. In particular, a cap may lead to worse policies than the status quo; and even if better policies are chosen, the resulting gain in welfare may be more than offset by the entry costs. Regulation can also lead to the simultaneous entry of competing groups, creating costly rent-seeking on issues previously unaffected by lobbying.     

Implementation of IFRS for SMEs in Emerging Economies: Stakeholder Perceptions in the Czech Republic,Hungary, Romania and Turkey

This research investigates the perceptions of stakeholders involved in financial reporting in four emerging economies (the Czech Republic, Hungary, Romania, and Turkey) regarding the possible implementation of IFRS for SMEs, in terms of costs, benefits, and strategy of adoption. In‐depth, semi‐structured interviews were conducted with representatives of main stakeholders (preparers, auditors, regulators, professional bodies, and users). We find more support for IFRS for SMEs implementation in these four countries than suggested by the results of the European Commission's 2010 consultation for the European Union. Interviews reveal differences between stakeholder groups and between countries regarding the preferred implementation approach (mandatory adoption, voluntary adoption or convergence of national regulations with IFRS for SMEs). Interviews indicate the most support for the convergence approach. However, users oppose convergence and prefer the adoption of IFRS for SMEs. The convergence approach moves regulators' attention from users' needs to preparers' preferences and preparedness. This finding is relevant in the decision‐making process of national regulators, who should balance the needs of various stakeholders, but also the country's political and economic objectives.     

A class of multiattribute utility functions

A function u(z) is a utility function if u′(z) > 0. It is called risk averse if we also have u′′(z) < 0. Some authors, however, require that u ⁽ⁱ⁾(z) > 0 if i is odd and u ⁽ⁱ⁾(z) < 0 if i is even. The notion of a multiattribute utility function can be defined by requiring that it is increasing in each variable and concave as an s-variate function. A stronger condition, similar to the one in case of a univariate utility function, requires that, in addition, all partial derivatives of total order m should be positive if m is odd and negative if m is even. In this paper, we present a class of functions in analytic form such that each of them satisfies this stronger condition. We also give sharp lower and upper bounds for E[u(X ₁,... , X _s )] under moment information with respect to the joint probability distribution of the random variables X ₁,... , X _s assumed to be discrete and representing wealths. Partially supported by OTKA grants F-046309 and T-047340 in Hungary.     

Budget allocation for permanent and contingent capacity under stochastic demand

We develop a model of budget allocation for permanent and contingent workforce under stochastic demand. The level of permanent capacity is determined at the beginning of the horizon and is kept constant throughout, whereas the number of temporary workers to be hired must be decided in each period. Compared to existing budgeting models, this paper explicitly considers a budget constraint. Under the assumption of a restricted budget, the objective is to minimize capacity shortages. When over-expenditures are allowed, both budget deviations and shortage costs are to be minimized. The capacity shortage cost function is assumed to be either linear or quadratic with the amount of shortage, which corresponds to different market structures or different types of services. We thus examine four variants of the problem that we model and solve either approximately or to optimality when possible. A comprehensive experimental design is designed to analyze the behavior of our models when several levels of demand variability and parameter values are considered. The parameters consist of the initial budget level, the unit cost of temporary workers and the budget deviation penalty/reward rates. Varying these parameters produce several trade-offs between permanent and temporary workforce levels, and between capacity shortages and budget deviations. Numerical results also show that the quadratic cost function leads to smooth and moderate capacity shortages over the time periods, whereas all shortages are either avoided or accepted when the cost function is linear.     

The academician–practitioner gap in advertising

The existence of the academician–practitioner gap is readily acknowledged and widely discussed in the marketing/advertising literature. This paper analyses key writings on the nature of the academician–practitioner rift and proposes a new approach complementing the literature. The review identifies five prevailing explanations why miscommunication between academicians and practitioners exists: (1) the failure of academic knowledge dissemination systems; (2) problems with the knowledge content and knowledge form academicians produce; (3) counterproductive academic organisational systems; (4) questions of philosophy of science; and (5) practitioners’ inability and unwillingness to process academic information. The study concludes that one potential explanation is entirely missed in these accounts: the possibility that practitioners’ knowledge about how advertising works is an autonomous construct, which has its own rules and deep structure, and resists simple assimilation attempted by academicians. The study also complements the existing literature by basing the review on firm theoretical grounds: the authors apply the influential sociological theory of professionalisation. Finally, future directions for research investigation are suggested, which moves the predominantly normative discourse into the empirical world.     

The Impact of Social Segregation on the Labor Market Outcomes of Low-Skilled Workers*

We study the impact of network homophily on labor market outcomes in a search-and-matching model with two job search channels: the formal market and social contacts. There are two worker types: low-skilled and high-skilled workers. The homophily level determines whether the referral networks of the two types are mixed or segregated from each other. We show that there exists an intermediate homophily level that minimizes the unemployment rate and maximizes the wages of low-skilled workers. Complete integration does not maximize the welfare of low-skilled workers, unless it improves their productivity. We argue that our model can explain the empirical findings on the labor market effects of the Moving-to-Opportunity experiment and the integration of immigrants.     

Conservation tillage vs. conventional tillage: long-term effects on yields in continental,sub-humid Central Europe,Hungary

The present study reports novel data concerning Conservation Tillage (CT) in the continental sub-humid climate zone in Central Europe (Hungary), an area which has been mostly neglected in the course of previous CT studies. The results of a 10-year (2003–2013) comparative study of mouldboard ploughing tillage (PT) and CT (no inversion, using a reduced number of tillage operations and leaving min. 30% crop residues on the soil surface) types are reported. Our extensive monitoring system has provided new and detailed information concerning technologies and yields both from the first, transitional period and, over the following years, of adapted technology. Our results suggest that tillage type was a more important factor in the question of yields than either the highly variable climate of the studied years, or the diverse slope conditions of the plots. During the first three years of technological changeover to CT (2003–2006), a decrease of 8.7% was measured, respective to PT. However, the next seven years (2007–2013) brought a 12.7% increase of CT yields. Our study revealed key factors in the initial reduction of crops during the technological change, and may accordingly serve as a guideline for the shortening or avoidance of decline in the transitional period.     

Regulating misinformation

Governments have responded to misleading advertising by banning it, engaging in counter-advertising and taxing and regulating the product. In this paper, we consider the welfare effects of those different responses to misinformation. While misinformation lowers consumer surplus, its effect on social welfare is ambiguous. Misleading advertising leads to over-consumption but that may be offsetting the underconsumption associated with oligopoly outputs. If all advertising is misinformation then a tax or quantity restriction on advertising maximizes welfare, and other policy interventions are inferior. If firms undertake quality improving investments that are complementary to misinformation, then combining taxes or bans on misleading advertising with other policies can increase welfare.     

Pricing Internet access in the presence of user loyalty

Socio-economic aspects of future communication networks such as pricing models for network providers, network neutrality, and Quality of Experience (QoE) are becoming more and more important as the convergence of networks is in progress. All the above areas share a common interest: the deeper understanding of user behavior. In this paper, as a first step towards a more realistic user model, we investigate customer loyalty and its impact on the pricing competition of Internet Service Providers (ISPs) who sell Internet access to end-users. The main contribution of this paper is twofold. First, we analyze the impact of user loyalty with game-theoretical means motivated by the Bertrand game. We show how loyalty introduces a new equilibrium in a repeated game setting resulting in the cooperation of ISPs. Furthermore, we investigate the case of a differentiated customer population by introducing dual reservation values, and show how it leads to new, pure strategy Nash equilibria indicating that ISPs should make the most out of their respective loyal user base. Second, we construct two novel models for customer loyalty incorporating two important aspects of the users’ purchasing decisions: price sensitivity and inherent uncertainty. We evaluate the impact of user loyalty through these models by extensive simulations in a number of relevant scenarios. In particular, we show how the higher level of loyalty in the user population leads to larger profits for ISPs. We argue that our findings can motivate network researchers to incorporate a finer-grained user behavior model in their investigations on pricing models of network services and other socio-economic issues.