The Calculation of returns to research in distorted markets: Comment

In a recent article, Oehmke reported that a high internal rate of return for investment in research when the interaction between research and price policy costs was disregarded could become very low or even negative when the effects of research on the costs of price policy were considered. In this paper, the social returns from research in the presence of the price policies considered by Oehmke are reexamined using a simple geometric approach. The analysis suggests that an output subsidy in a small importing economy, an output subsidy in a closed economy, and a target price in a large exporting economy will on Oehmke's assumptions - cause only small reductions in the internal rate of return from investment in research. This implies that the apparent underinvestment by governments in agricultural research cannot be explained away by a large upward bias, known to governments, in measured rates of return due to failure to account for interactions between research and the costs of price policy measures.     

Eliminating chain drift in price indexes based on scanner data

The use of scanner data in the CPI makes it possible to compile superlative price indexes at detailed aggregation levels since prices and quantities are available. A potential drawback is the high attrition rate of items. The usual solution to handle this problem, high-frequency chaining, can create drift in the index series due to price and quantity bouncing arising from sales. Ivancic, Diewert and Fox (2009) have recently proposed an approach that provides drift free, superlative-type indexes through adapting multilateral index number theory. In this paper we apply their proposal to seven product groups and find promising results. We compare the results with those obtained by using the Dutch method to deal with supermarket scanner data.     

Market liquidity as dynamic factors

We use recent results on the Generalized Dynamic Factor Model (GDFM) with block structure to provide a data-driven definition of unobservable market liquidity and to assess the complementarity of two observed liquidity measures: daily close relative spreads and daily traded volumes for a sample of 426 S&P500 constituents recorded over the years 2004-2006. The advantage of defining market liquidity as a dynamic factor is that, contrary to other definitions, it tackles time dependence and commonness at the same time, without making any restrictive assumptions. Both relative spread and volume in the dataset under study appear to be driven by the same one-dimensional common shocks, which therefore naturally qualify as the unobservable market liquidity shocks.     

A class of simple distribution-free rank-based unit root tests

We propose a class of distribution-free rank-based tests for the null hypothesis of a unit root. This class is indexed by the choice of a reference densityg, which need not coincide with the unknown actual innovation density f. The validity of these tests, in terms of exact finite-sample size, is guaranteed, irrespective of the actual underlying density, by distribution-freeness. Those tests are locally and asymptotically optimal under a particular asymptotic scheme, for which we provide a complete analysis of asymptotic relative efficiencies. Rather than stressing asymptotic optimality, however, we emphasize finite-sample performances, which also depend, quite heavily, on initial values. It appears that our rank-based tests significantly outperform the traditional Dickey-Fuller tests, as well as the more recent procedures proposed by Elliott et al. (1996), Ng and Perron (2001), and Elliott and Müller (2006), for a broad range of initial values and for heavy-tailed innovation densities. Thus, they provide a useful complement to existing techniques.     

Direct and indirect effects of FDI in emerging European markets: A survey and meta-analysis

We review a large body of literature dealing with the effects of Foreign Direct Investment (FDI) on economies during their transformation from a command economic system toward a market system. We report the results of a meta-analysis based on the literature on externalities from FDI. The studies on emerging European markets covered in our survey report direct and indirect FDI effects weakening over time, similarly as in other FDI destination countries. This is imputable to a publication bias that is detected and to the fact that more sophisticated methods and more controls can be used once a sufficient time span is available. Panel studies are likely to find relatively lower spillover effects. The choice of the research design (definition of firm performance and foreign firm presence) matters. More specific to the sampled studies is the role played by forward and backward spillovers which dominate other channels in driving FDI externalities.     

Economic modeling using evolutionary algorithms: the effect of a binary encoding of strategies

We are concerned with evolutionary algorithms that are employed for economic modeling purposes. We focus in particular on evolutionary algorithms that use a binary encoding of strategies. These algorithms, commonly referred to as genetic algorithms, are popular in agent-based computational economics research. In many studies, however, there is no clear reason for the use of a binary encoding of strategies. We therefore examine to what extent the use of such an encoding may influence the results produced by an evolutionary algorithm. It turns out that the use of a binary encoding can have quite significant effects. Since these effects do not have a meaningful economic interpretation, they should be regarded as artifacts. Our findings indicate that in general the use of a binary encoding is undesirable. They also highlight the importance of employing evolutionary algorithms with a sensible economic interpretation.     

Global restrictions on the parameters of the CDES indirect utility function

This paper extends the analytical and empirical application of the basic indirect utility function of Houthakker–Hanoch—called the CDES specification (constant differences of elasticities of substitution). The non-homothetic CDES preferences are the natural parametric extension on the global domain of the homothetic CES preferences with many commodities, and CDES can conveniently be used in specifying CGE multisector models with a demand side satisfying observable Engel curve patterns. Moreover, all Marshallian own-price elasticities are no longer restricted to exceed one, and positive and negative cross-price effects are allowed for in empirical demand analyses. Explicit calculations of the Allen elasticities of substitution are instrumental in demonstrating the economic implications of the parameters of indirect utility functions with global regularity properties and flexibility of the derived demand systems.     

Small-Business Owner-Managers’ Perceptions of Business Ethics and CSR-Related Concepts

Recent academic articles point to an increased vagueness and overlap in concepts related to business ethics and corporate responsibility. Further, the perception of these notions can differ in the small-business world from the original academic definitions. This article focuses on the cognition of small-business owner-managers. Given the impact of small-business owner–managers on their ventures, corporate responsibility and ethical issues can take a different route in SMEs. The small-business owner–manager is able to shape the corporate culture and to enact values other than profit. Adopting a cognitive perspective, we have identified how the small-business owner–manager makes sense of notions linked to corporate social responsibility (CSR) and business ethics. The concept of sensemaking has recently been applied to CSR (Basu and Pallazzo, 2008; Cramer et al., 2006). Applying a cognitive perspective to small-business owners may help in explaining specific phenomena found within small-business ownership. For this research, the Repertory Grid Technique (RGT) is used, a method that has not previously been widely applied in the business and society field.     

Morgan Stanley Roundtable on The State of Global Private Equity

In this discussion led by Alan Jones, Morgan Stanley's head of Global Private Equity, the University of Chicago's Steve Kaplan begins by surveying 25 years of academic research on private equity. Starting with Kaplan's own Ph.D. dissertation on leveraged buyouts during the 1980s, finance academics have provided a large and growing body of studies documenting the ability of private equity firms to make “sustainable” (that is, maintained over a three‐ or four‐year period) improvements in the operating performance of their portfolio companies, whether operating abroad or in the U.S. Even more impressive, the findings of Kaplan's new study (with Tim Jenkinson of Oxford and Bob Harris of the University of Virginia) suggest that these improvements have been large enough to enable PE funds raised between 1990 and 2008 to deliver returns to their limited partners that have averaged 300 to 400 basis points higher per year than the returns to the S&P 500. And given the “persistence” of PE fund returns—the tendency of the funds of the same PE firms to show up in the top quartile of performers year after year—that Kaplan has documented in earlier work, the performance of private equity seems notably different from that of mutual funds and hedge funds, where there has been little if any consistency in the returns provided by the top performers. Following Kaplan's overview of the research, four representatives of today's leading private equity firms explore questions like the following:

• ? How do the best PE firms, after paying premiums to acquire their portfolio companies and collecting large management fees, provide such consistently high returns to their limited partners?
• ? How did PE portfolio companies perform during the last recession, when many popular business publications were predicting the death of private equity—and what, if anything, does that tell us about how private equity adds value?
• ? What can PE firms do to avoid, or at least limit the damage from, the overpricing and overleveraging that tend to occur near the end of the boom‐and‐bust cycle that appears to be a permanent feature of private equity?

As Jones notes in his opening comments, the practitioners' answers to such questions “should help investors distinguish between the alpha that the firms represented at this table have generated through active management from the ‘closet beta’ that critics say results when private equity firms simply create what amounts to a levered bet on the public equity markets.”     

Subjective evaluation of delayed risky outcomes for buying and selling positions: the behavioral approach

This paper analyzes time discounting as a function of risk, using reservation prices. Based on experimental data, we compare bidder reservation prices for riskless assets with those for risky assets. The experiments rely on a second price auction with real monetary incentives and real delay in payoffs. We estimate the pure time discount rate for different maturities, considering riskless assets (bonds) and risky assets (delayed lotteries). An innovation in the experimental design allows disentangling pure time from pure risk discounting effects. If subjects bid for assets, we find implied discount rates for risky assets to be uniformly lower than those for riskless assets, across all maturities (the risk moderation effect). However, there is no risk moderation effect if subjects quote ask prices. We argue that delaying a payoff has a stronger effect on the price of bonds than on the price of risky assets since, in the case of bonds, the investor moves from a position of certainty to a position of risk, or uncertainty. Our findings on the risk moderation effect may be used to explain the attractiveness of compensation contracts with options, as commonly used in the financial industry.