Ernan Haruvy

Are You Risk Averse over Other People's Money?

Decisions with uncertain outcomes are often made by one party in settings where another party bears the consequences. Whenever an individual is delegated to make decisions that affect others, such as in the typical corporate structure, does the individual make decisions that reflect the risk preferences of the party bearing the consequences? We examine this question in two simple settings, lottery choices and sealed-bid auctions, using controlled laboratory experiments. We find that when an individual makes a decision for an anonymous stranger, there is a tendency to exhibit less risk aversion. This reduction in risk aversion is relative to his or her own preferences, and it is also relative to his or her belief about the preferences of others. This result has significant implications for the design of contracts between principals and agents.

Bargaining under a deadline: evidence from the reverse ultimatum game ✩

We study a “reverse” ultimatum game, in which proposers have multiple chances to offer responders a division of some fixed pie. The game ends if the responder accepts an offer, or if, following a rejection, the proposer decides not to make a better offer. The unique subgame perfect equilibrium gives the proposer the minimum possible payoff. Nevertheless, the experimental results are not too different from those of the standard ultimatum game, although proposers generally receive slightly less than half of the surplus. We use the reverse ultimatum game to study deadlines experimentally. With a deadline, the subgame perfect equilibrium prediction is that the proposer gets the entire surplus. Deadlines are used strategically to influence the outcome, and agreements are reached near the deadline. Strategic considerations are evident in the differences in observed behavior between the deadline and no deadline conditions, even though agreements are substantially less extreme than

The effect of piracy on the market penetration of subscription software

Software piracy is not necessarily harmful to a software firm seeking to launch a new product. When strategically managed through the use of price and protection measures, piracy establishes the initial adopters of the software, who in turn influence other users to buy the product. We examine the role of piracy in affecting the adoption of subscription software products. We present an individual‐level model in an adaptive population setting intended to determine the price‐protection mix that maximizes the discounted profit stream over the life of the software. An extension for nonsubscription software is also discussed.

Evidence for optimistic and pessimistic behavior in normal-form games

Abstract Experimental evidence can provide clues as to the kind of reasoning that boundedly rational agents apply to arrive at a strategy choice. We report statistical tests on the saliency of optimistic and pessimistic behaviors in symmetric normal-form games.

Harvesting Altruism in Open-Source Software Development

Firms have the choice of developing software as either open source or closed source. The open-source approach to software development has been advocated as a new and better method for developing high quality software than the traditional closed-source approach. In open source, volunteer programmers freely contribute code to develop and improve the software. This paper describes the key nonpecuniary motivations for these programmers. They are less motivated to contribute if they observe commercial marketing of the open-source software they helped create, leading to a reduction in improvements to the software. A primary concern for software firms seeking to develop and market open-source software is, thus, how the motivation of contributors should be managed. We examine optimal pricing strategies for open-source and closed-source software keeping in mind the distinct motivations of programmers in the two cases. We compare profits and software qualities from the two approaches and provide implications for firms in the software industry.

Modeling And Testing For Heterogeneity In Observed Strategic Behavior

Experimental data have consistently shown diversity in beliefs as well as in actions among experimental subjects. This paper presents and compares alternative behavioral econometric models for the characterization of player heterogeneity, both between and within subpopulations of players. In particular, two econometric models of diversity within sub-populations of players are investigated, one using a model of computational errors and the other allowing for diversity in prior beliefs around a modal prior for the subpopulation.

Optimal product strategies in the presence of network externalities

Abstract A network externality exists when a user’s benefit from a product increases with the number of other users in the same network. We examine the possibility that a software firm may exploit network externalities by introducing a limited feature version of its commercially available software into the market. The two versions need not be perfectly compatible and network externalities are allowed to decline as the difference between the versions increases. We obtain conditions under which introducing a limited feature version is optimal.

Optimal freeware quality in the presence of network externalities: an evolutionary game theoretical approach

New software products often face difficulty in achieving market penetration. A potential remedy is to offer a freeware version of the software to encourage initial adoption and establish a larger user base for the software, thereby increasing the commercial versions value to adopters in future periods. However, to avoid complete cannibalization of the commercial version, the freeware versions quality must be sufficiently low and the price of the commercial version must not be too high. We model the effect of these two decision variables, price and freeware quality, on the adoption of software using static and evolutionary game theory.

Search and Choice in Online Consumer Auctions

Price dispersion in simultaneous online auctions is a puzzle in light of the relatively low search costs required to find the lower price. Much of this price dispersion appears to be due to a lack of switching by bidders between auctions, which in turn could be due to inertia related to search costs. We identify some of the influencing factors through a controlled field experiment involving pairs of simultaneous auctions. Keeping the sellers and the goods sold identical between two auctions, we vary auction design features between and within pairs including shipping cost, open reserve, secret reserve price, and duration, and we provide bidders with incentives to search. We use a choice model that examines individual choice between pairs of simultaneous auctions. We find that within-pair price dispersion is substantial and that prices and auction choice by bidders are indeed related to search costs. We find strong inertia in auction choice and find that this effect significantly interacts with time left in the auction. Although individuals do not always choose a lower-priced auction, they are more likely to do so when search costs are low or search incentives are high.

The Impact of Online Auction Duration

One view regarding auction duration suggests that longer auctions would result in more bidders and more bids, which in turn would result in higher prices. An opposing view is that shorter auctions might appeal to impatient bidders, or alternatively, that shorter duration might lead to more competitive dynamics. To examine these competing notions, we conduct pairwise comparisons of simultaneous auctions identical in all but duration. The auctions are conducted on two different platforms---eBay and a local auction site. We find that in eBay auctions, longer duration increases the number of bidders and bids, and consequently increases final prices by about 11%. On the local auction website, with far fewer auctions and a more steady set of participants, the effect is reversed, and shorter auctions generate higher prices by about 20%. Both sets of effects are robust and significant. We look at bidding activity on both sites to try to get at the root of that reversal. We find that in eBay auctions, the higher price in the longer-duration auction is accompanied by a higher number of participating bidders and a higher number of bids placed in the auction. In the local site, we find that the auction duration does not significantly affect the number of participating bidders or the number of bids placed in an auction. However, the magnitude of jump bids is negatively and significantly correlated with duration. These jump bids are in turn shown to impact final prices.