Does seeing more deeply into a game increase one’s chances of winning?

The substantively rational value of the games studied in this paper does not help predict subject performance in the experiment at all. An accurate model must account for the cognitive ability of the people playing the game. This paper investigates whether the variation in measured rationality bounds is correlated with the probability of winning when playing against another person in games that exceed both players’ estimated rationality bound. Does seeing deeper into a game matter when neither player can see to the end of the game? Subjects with higher measured bounds win 63 percent of the time and the larger the difference the more frequently they win.     

Distribution Dynamics of CO<Subscript>2</Subscript> Emissions

This paper uses nonparametric methods to examine the convergence in CO₂ emissions per capita on a sample of 100 countries for the period 1966–1996. Industrial countries show a convergence pattern. However, there is little evidence of convergence for the whole sample.     

Selection dynamics and adaptive behavior without much information

This paper uses the experimental method to investigate behavior in a coordination game when the information available to subjects is limited to their feasible choices and their experienced payoffs. In the experiment subjects converge to an absorbing state at rates that are orders of magnitude faster than reinforcement learning algorithms, but slower than under complete information. This state is very close to a mutual best response outcome. All cohorts converged to the market statistic predicted by the interior equilibrium regardless of the information conditions or the stability conditions. Eric Battalio programmed the graphical user interface. The National Science Foundation and Texas Advanced Research Program provided financial support. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Texas Advanced Research Program.     

Temporary Liaisons: The Commitment of ‘Temps’ Towards Their Agencies*

abstract The majority of research on organizational commitment has focused on commitment in traditional, ongoing and open‐ended relationships. The commitment of employees in non‐standard work arrangements such as temporary employment has been subject to much less theoretical and empirical investigation. In this study, we examine the affective and continuance commitment of temporary workers towards their agency and its determinants. We distinguish two groups of determinants: the process by which the temporary worker chose a particular agency and the support provided by the agency. The findings can be summarized as follows: (1) affective commitment among temps is generally higher than their continuance commitment; (2) having more alternative agencies to choose from (i.e., volition) does not enhance the commitment of temporary workers; (3) a public choice for a particular agency raises both types of commitment, whereas the perceived agency dependence created by the choice increases continuance, but not affective commitment; and (4) both types of commitment are positively influenced by agency supportiveness, reflected in the way the agency deals with problems, the career support it provides, and the way it keeps in close contact with its temporary workers. Finally, the results suggest that factors raising affective commitment may ‘spill over’ to increase continuance commitment.     

Popularising Delphi method

The article reports on a methodical part of a combined substantive and methodical investigation experimenting with a new type of Policy Delphi method. The common problem defined for both parts was the question whether Delphi method could be transformed in an instrument of controlling technological change by employees. The question was answered positively by the participating (bank) employees, all union members engaged with an automatisation project, themselves. Self rating scales, an evaluation questionnaire and numerous data collected about the research process showed that the most relevant social categories of participants managed to serve as “experts” according to the high levels of cognition, effort, involvement and self-confidence required in a Delphi research project. Participants with low job level, women and non-trained union members joined in very well. The special steps required to broaden a successful participation of all categories, particular methods and techniques of information transmitting questioning and reporting, did not violate the quality of scientifically valid information gathering. So the result was a practical and scientific instrument.     

Retrospective questions: data quality,task difficulty,and the use of a checklist

Data from a national panel study with waves in 1987 and 1991 (N=1257), present evidence of the low accuracy of responses to retrospective questions, concerning both attitudes and behaviour. Applying a split ballot design, it is investigated whether using a checklist improves the response accuracy for a retrospective question about one single event: how respondents (N=363) did obtain the job they had four years ago. Furthermore interaction effects of ‘task difficulty’ are examined. The response accuracy indeed increases by using a checklist; however, this increase is not statistically significant. The expected increase of the checklist effect with higher ‘task difficulty’ appears for longer recall intervals, but not for more frequent changes of jobs. It turned out that for male respondents all the predicted effects are indeed clearly present. But for female respondents the checklist appeared to have no effect, irrespective of the task difficulty. A tentative explanation for this unexpected gender effect is suggested by pointing at indications that the male and female respondents differed in the way they obtained their job.     

Credible assignments in coordination games

This paper uses the experimental method to examine an arbiter's ability to determine the outcome of two-person coordination games. All of the arbiter's assignments in the experiments were strict equilibrium points, but some assignments violated payoff-dominance or symmetry. An assignment that corresponds to the game's outcome is a credible assignment. The experiments test the hypothesis that an assignment to a strict equilibrium is a credible assignment. Our subjects did not find the individual rationality and mutual consistency of an equilibrium assignment to be sufficient reason for implementing the assignment when doing so conflicts with payoff-dominance or symmetry.     

Spreads, Depths, and Quote Clustering on the NYSE and Nasdaq: Evidence after the 1997 Securities and Exchange Commission Rule Changes

This paper examines liquidity and quote clustering on the NYSE and Nasdaq using data after the two market reforms—the 1997 order–handling rule and minimum tick size changes. We find that Nasdaq–listed stocks exhibit wider spreads and smaller depths than NYSE–listed stocks and stocks with higher proportions of even–eighth and even–sixteenth quotes have wider quoted, effective, and realized spreads on both the NYSE and Nasdaq. This result differs from the findings by Bessembinder (1999, p. 404) that "trade execution costs on Nasdaq in late 1997 are no longer significantly explained by a tendency for liquidity providers to avoid odd–eighth quotations," and "odd–sixteenth avoidance has little relevance for explaining post–reform Nasdaq trading costs."     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.