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We design experimental economies based on a New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model. We apply shocks to tastes, productivity, and interest rate policy, and measure the persistence of these shocks. We find that, in a setting where goods are perfect substitutes, there is little persistence of output shocks compared to treatments with monopolistic competition, which perform similarly irrespective of whether or not menu costs are present. Discretionary central banking is associated with greater persistence than automated instrumental rules.

The authors argue that organization design needs to play a more active role in the explanation of differential performance and outline a set of ideas for achieving this both in theoretical and empirical research. Firms are heterogeneous in terms of (1) how well they do things, capturing persistent productivity differences, and (2) how they do things – and both reflect firms’ organization design choices. Both types of heterogeneity can be persistent, and are interdependent, although they have typically been studied separately. The authors propose a simple formal framework – the “aggregation function framework” – that aligns organization design thinking with the emphasis on performance heterogeneity among firms that is characteristic of the strategy field. This framework allows for a more precise identification of how exactly organization design may contribute to persistent performance differences, and therefore what exactly are the assumptions that strategy and organization design scholars need to be attentive to.

In this article, we survey experiments that are directly related to monetary policy and central banking. We argue that experiments can also be used as a tool for central bankers for bench testing policy measures or rules. We distinguish experiments that analyze the reasons for non-neutrality of monetary policy, experiments in which subjects play the role of central bankers, experiments that analyze the role of central bank communication and its implications, experiments on the optimal implementation of monetary policy, and experiments relevant for monetary policy responses to financial crises. Finally, we mention open issues and raise new avenues for future research.

Information technology (IT) has become a strategic weapon on tourism products’ identification, presentation, dissemination and getting a sustainable competitive advantage. Tourism management is the most important candidate for using IT with the need for gathering information in large quantities and diffusion of tourism management. The heterogeneous nature of these businesses means that information-communication Technologies’ uses change from sector to sector and from management to management in the tourism sector. The development of IT has created new application areas for tourism industry managers especially in efficient cooperation and provided tools for real globalization, IT is unexpectedly part of tourism management because of information creation processing and transmission which are important in daily activities. Therefore, both rapid development of tourism demand and tourism supply have become a compulsory partner of IT; and for this reason, IT plays an important role in the tourism marketing, distribution, promotion, and coordination. Due to this importance; the impact of IT on tourism sector is valued to be investigated. This chapter stresses that IT’s uses play an efficient role in choosing the management on behalf of the consumer. Within this context, this chapter composes of the information society; IT development and tourism; the usage of IT on travel, hospitality, tourism sector, its challenges, and advantages. This chapter mostly emphasizes on these subjects that will be examined deeply.

As businesses become more sophisticated and welcome new technologies, artificial intelligence (AI)-based methods are increasingly being used for firms' pricing decisions. In this review article, we provide a survey of research in the area of AI and pricing. On the upside, research has shown that algorithms allow companies to achieve unprecedented advantages, including real-time response to demand and supply shocks, personalized pricing, and demand learning. However, recent research has uncovered unforeseen downsides to algorithmic pricing that are important for managers and policy-makers to consider.

In the build-up of an investment decision, the existence of both active and passive investment vehicles triggers a puzzle for investors. Indeed the confrontation between active and index replication equity funds in terms of risk-adjusted performance and alpha generation has been a bone of contention since the inception of these investment structures. Accordingly, the objective of this chapter is to distinctly underscore whether an investor should be concerned in choosing between active and diverse passive investment structures.

The survivorship bias-free dataset consists of 776 equity funds which are domiciled either in America or Europe, and are likewise exposed to the equity markets of the same regions. In addition to geographical segmentation, equity funds are also categorised by structure and management type, specifically actively managed mutual funds, index mutual funds and passive exchange traded funds (‘ETFs’). This classification leads to the analysis of monthly net asset values (‘NAV’) of 12 distinct equally weighted portfolios, with a time horizon ranging from January 2004 to December 2014. Accordingly, the risk-adjusted performance of the equally weighted equity funds’ portfolios is examined by the application of mainstream single-factor and multi-factor asset pricing models namely Capital Asset Pricing Model (Fama, 1968; Fama & Macbeth, 1973; Lintner, 1965; Mossin, 1966; Sharpe, 1964; Treynor, 1961), Fama French Three-Factor (1993) and Carhart Four-Factor (1997).

Solely examination of monthly NAVs for a 10-year horizon suggests that active management is equivalent to index replication in terms of risk-adjusted returns. This prompts investors to be neutral gross of fees, yet when considering all transaction costs it is a distinct story. The relatively heftier fees charged by active management, predominantly initial fees, appear to revoke any outperformance in excess of the market portfolio, ensuing in a Fool’s Errand Hypothesis. Moreover, both active and index mutual funds’ performance may indeed be lower if financial advisors or distributors of equity funds charge additional fees over and above the fund houses’ expense ratios, putting the latter investment vehicles at a significant handicap vis-à-vis passive low-cost ETFs. This chapter urges investors to concentrate on expense ratios and other transaction costs rather than solely past returns, by accessing the cheapest available vehicle for each investment objective. Put simply, the general investor should retreat from portfolio management and instead access the market portfolio using low-cost index replication structures via an execution-only approach.

The battle among actively managed and index replication equity funds in terms of risk-adjusted performance and alpha generation has been a grey area since the inception of mutual funds. The interest in the subject constantly lightens up as fresh instruments infiltrate financial markets. Indeed the mutual fund puzzle (Gruber, 1996) together with the enhanced growth of ETFs has again rejuvenated the active versus passive debate, making it worth a detailed analysis especially for the benefit of investors who confront a dilemma in choosing between the two management styles.

We study the distortions that downward nominal and real wage rigidity would induce to a flexible form of a notional, rigidity-free, distribution of wage change using the histogram-location approach. We examine alternative methods of generating the histograms that support the econometric search for rigidity distortions and implement our approach to inflation sub-periods that should be characterised by different patterns of nominal and real rigidities. We establish the general applicability of the approach to these sub-periods and find results consistent with expectations.

This article discusses the methodology of using laboratory methods to address macroeconomic questions. It also provides summaries of the articles in this volume.