Price Search Experiment
نویسنده
چکیده
Structural econometric methods that assume agents have rational expectations are often criticized. Yet, little is known about the relative costs and benefits of adopting alternative empirical strategies. This paper compares three procedures for inference about a single structural parameter using data from a laboratory price search experiment. Our novel experimental design induces preferences up to the subjective rate of time preference, leaving unrestricted only this parameter and the decision rule that subjects use in solving the search task. We analyze the experimental data under the assumptions of both rational expectations and heuristic behavior, and we also draw inferences using a simple revealed preference analysis that does not require strong behavioral assumptions. We find that the revealed-preference analysis does not provide much information about the discount rate, while stronger behavioral assumptions provide sharper and statistically identical inferences about the population’s discount rate distribution. However, substantial differences in inference appear at the individual level. We compare the individual discount-rate estimates to an external measure of forward looking behavior obtained for each subject using an instrument validated in the psychology literature. The estimates obtained under heuristic behavior are statistically significantly positively correlated with our external measure of time preference, while the estimates obtained under rational expectations and the revealed-preference estimates are not.
منابع مشابه
A Bayesian Framework for Modeling Price Preference in Product Search
Product search is an emerging search application where optimization of search results relies critically on an accurate model of a user’s price preference. In this paper, we propose a Bayesian framework for modeling a user’s price preference with a particular focus on developing a smart price filter model for inferring a user’s price preference based on the user’s selection of price filters and ...
متن کاملGroup Decision and Negotiation (in press) Bargaining and Search: An Experimental Study
We study experimentally two versions of a model in which a buyer and a seller bargain over the price of a good; however, the buyer can choose to leave the negotiation table to search for other alternatives. Under one version, if the buyer chooses to search for a better price, the opportunity to purchase the good at the stated price is gone. Under the second version, the seller guarantees the sa...
متن کاملBargaining and Search: An Experimental Study*
We study experimentally two versions of a model in which a buyer and a seller bargain over the price of a good; however, the buyer can choose to leave the negotiation table to search for other alternatives. Under one version, if the buyer chooses to search for a better price, the opportunity to purchase the good at the stated price is gone. Under the second version, the seller guarantees the sa...
متن کاملAn experimental study of price dispersion in an optimal search model with advertising
This paper reports a laboratory experiment to study pricing and advertising behavior with costly buyer search. Sellers simultaneously post prices and may incur a cost to advertise this price. In the unique symmetric equilibrium, sellers either charge a high unadvertised price or randomize in an interval of lower advertised prices. Increases in search or advertising costs raise equilibrium price...
متن کاملApplication of an Improved Neural Network Using Cuckoo Search Algorithm in Short-Term Electricity Price Forecasting under Competitive Power Markets
Accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. Market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. However, due to its time variant behavior and non-linear and non-stationary nature, electricity...
متن کاملP/E Modeling and Prediction of Firms Listed on the Tehran Stock Exchange; a New Approach to Harmony Search Algorithm and Neural Network Hybridization
Investors and other contributors to stock exchange need a variety of tools, measures, and information in order to make decisions. One of the most common tools and criteria of decision makers is price-to earnings per share ratio. As a result, investors are in pursuit of ways to have a better assessment and forecast of price and dividends and get the highest returns on their investment. Previous ...
متن کامل