Publication Selection Bias in Minimum‐Wage Research? A Meta‐Regression Analysis

Card and Krueger's meta-analysis of the employment effects of minimum wages challenged existing theory. Unfortunately, their meta-analysis confused publication selection with the absence of a genuine empirical effect. We apply recently developed meta-analysis methods to 64 US minimum-wage studies and corroborate that Card and Krueger's findings were nevertheless correct. The minimum-wage effects literature is contaminated by publication selection bias, which we estimate to be slightly larger than the average reported minimum-wage effect. Once this publication selection is corrected, little or no evidence of a negative association between minimum wages and employment remains.     

On the importance of matching strategic behavior and target market selection to business strategy in high-tech markets

Business strategy is fundamentally concerned with the actions required to create superior customer value in the firm’s target markets with the ultimate goal of achieving superior performance. Marketing theory suggests that two critical marketing activities required to achieve this end are: (1) the adoption of appropriate strategic behaviors (i.e., customer-oriented, competitor-oriented, technology-oriented) and (2) targeting of the appropriate market segments (i.e., innovators, early adopters, early majority, late majority, laggards). This study builds on prior research which demonstrates that the strategic behavior—firm performance relationship is contingent on the firm’s strategy by examining this relationship in high tech markets and by considering the incremental contribution of appropriate target market selection. Responses from 160 senior marketing managers in high-tech firms reveal strong support for our framework. Thus, this study provides useful guidance to executives and managers in high-tech firms regarding the steps that they should take to increase their probability of success.

REPORTING GUIDELINES FOR META-ANALYSIS IN ECONOMICS

Meta-analysis has become the conventional approach to synthesizing the results of empirical economics research. To further improve the transparency and replicability of the reported results and to raise the quality of meta-analyses, the Meta-Analysis of Economics Research Network has updated the reporting guidelines that were published by this Journal in 2013. Future meta-analyses in economics will be expected to follow these updated guidelines or give valid reasons why a meta-analysis should deviate from them.     

On automated e‐business negotiations: Goal,policy, strategy,and plans of decision and action

In recent years, there has been increasing interest in automated e‐business negotiations. The automation of negotiation requires a decision model to capture the negotiation knowledge of policymakers and negotiation experts so that the decision‐making process can be carried out automatically. Current research on automated e‐business negotiations has focused on defining low‐level tactics (or negotiation rules) so that automated negotiation systems can carry out automated negotiation processes. These low‐level tactics are usually defined from a technical perspective, not from a business perspective. There is a gap between high‐level business negotiation goals and low‐level tactics. In this article, we distinguish the concepts of negotiation context, negotiation goals, negotiation strategy, and negotiation tactics and introduce a formal decision model to show the relations among these concepts. We show how high‐level negotiation goals can be formally mapped to low‐level tactics that can be used to affect the behavior of a negotiation system during the negotiation process. In business, a business organization faces different negotiation situations (or contexts) and determines different sets of goals for different negotiation contexts. In our decision model, a business policymaker sets negotiation goals from different perspectives, which are called goal dimensions. A negotiation policy is a functional mapping from a negotiation context to some quantitative measures (or goal values) for the goal dimensions to express how competitive the policymaker wants to reach that set of goals. A negotiation expert who has the experience and expertise to conduct negotiations would define the negotiation strategies needed for reaching the negotiation goals. Formally, a negotiation strategy is a functional mapping from a set of goal values to a set of decision‐action rules that implement negotiation tactics. The selected decision‐action rules can then be used to control the execution of an automated negotiation system, which conducts a negotiation on behalf of a business organization.     

Model uncertainty and liquidity

Extreme market outcomes are often followed by a lack of liquidity and a lack of trade. This market collapse seems particularly acute for markets where traders rely heavily on a specific empirical model such as in derivative markets like the market for mortgage backed securities or credit derivatives. Moreover, the observed behavior of traders and institutions that places a large emphasis on “worst-case scenarios” through the use of “stress testing” and “Value-at-Risk” seems different than Savage expected utility would suggest. In this paper, we capture model-uncertainty using an Epstein and Wang [Epstein, L.G., Wang, T., 1994. Intertemporal asset pricing under Knightian uncertainty. Econometrica 62, 283–322] uncertainty-averse utility function with an ambiguous underlying asset-returns distribution. To explore the connection of uncertainty with liquidity, we specify a simple market where a monopolist financial intermediary makes a market for a propriety derivative security. The market-maker chooses bid and ask prices for the derivative, then, conditional on trade in this market, chooses an optimal portfolio and consumption. We explore how uncertainty can increase the bid–ask spread and, hence, reduces liquidity. Our infinite-horizon example produces short, dramatic decreases in liquidity even though the underlying environment is stationary. We show how these liquidity crises are closely linked to the uncertainty aversion effect on the optimal portfolio. Effectively, the uncertainty aversion can, at times, limit the ability of the market-maker to hedge a position and thus reduces the desirability of trade, and hence, liquidity.     

Can retailers get higher prices for “end-of-life” inventory through online auctions?

Manufacturers and retailers are using online auctions to liquidate excess inventory. Using a field study of 11,879 online auctions, this paper builds upon theories of competitive processes to relate four key seller-controlled variables (starting price, day of close, auction length, and brand) to outcomes of online auction for apparel goods. Results suggest that to obtain a higher percentage of the original retail price, retailers should start with a lower price and feature national brands. These and other findings are discussed and a number of future research topics are offered.     

Health care rationing: the Oregon experiment

Oregon Medicaid reforms, passed by the state legislature in 1989, examined in light of Oregon's recent history of attempts to grapple continually rising health care costs.     

The Right Road to Monetary Union

How should European monetary coordination develop? John Chown and Geoffrey Wood argue that the European central banks should be forced to compete in providing the best monetary services.