This paper presents a sequential search model where consumers look for several products among competitive multiproduct �rms. In a multiproduct search mar- ket, both consumer behavior and �rm behavior exhibit di¤erent features from the single-product case: a consumer often returns to...

This paper studies the implications of consumer reference dependence in market competition. If consumers take some product (e.g., the first product they have considered) as the reference point in evaluating others and exhibit loss aversion, then the more "prominent" firm whose product is taken...

The objective of this paper is to study the implementation of an integrated system of information, based on Geographic Information Systems (GIS) technologies, on the fossil fuels market that can bring economic benefits to the consumers, create conditions for a more effective interview of the...

The focus of this study is on black markets which provide an important segment of the parallel economy. These markets operate in disequilibrium,search and information costs become very important.Trafficking in drugs taken as case, to explore both theoretically and empirically. The problem,...

In this survey, I look into experimental studies on duopolistic quantity competition with homogeneous products and duopolistic price competition with heterogeneous products. The focus is on the sequence of competition. That is, I summarize and analyze experimental studies checking Cournot...

This paper presents an ordered search model in which consumers search both for price and product fitness. We show that there is price dispersion in equilibrium and prices rise in the order of search. The top firms in consumer search order, though charge lower prices, earn higher profits due to...

I study the institution of avoiding to hire one’s school own PhD graduates for assistant professorships. I argue that this institution is necessary to create better incentives for researchers to incorporate new information in studies, facilitating the convergence to asymptotic learning of the...