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We study how price dispersion varies with product characteristics at a popular online price comparison site – Shopper.com. Our primary finding suggests that price dispersion in online markets varies with product characteristics and firm behavior. We also find evidence that the level of dispersion varies with the percent of firms listing price information in multiple categories. When the percent of firms listing prices in multiple categories is relatively high (low), price dispersion is low (high).

The subject for study at present is the manner in which the prices of consumption goods and services are fixed under competition. The theory of price under monopoly is treated as a separate topic (Ely, Chapter XIII); and the theory of the prices of productive goods, that is, the theory of wages, rent, and interest, which are the prices of labor and the use of land and capital, are also treated separately under the head of Distribution. (See Ely, pp. 177–178, and Chapters XX–XXVII.)

The paper constructs an annual price series for English net agricultural output in the years 1209–1914 using 26 component series: wheat, barley, oats, rye, peas, beans, potatoes, hops, straw, mustard seed, saffron, hay, beef, mutton, pork, bacon, tallow, eggs, milk, cheese, butter, wool, firewood, timber, cider, and honey. I also construct sub-series for arable, pasture and wood products. The main innovation is in using a consistent method to form series from existing published sources. But fresh archival data is also incorporated. The implications of the movements of these series for agrarian history are explored.

Many companies have made progress in pricing – instituting pricing rules, creating pricing organizations, and getting high-level visibility on pricing performance. Few, however, have truly turned pricing into a competitive advantage. Unfortunately, the growing complexity of pricing demands that companies take their pricing capabilities to the next level of performance. This chapter outlines some of the ways that companies can take their pricing capabilities to a higher level of performance. Managers should look at these ideas and identify one or two areas where they will take their capabilities not just to good but to a level of world class. Those that do will increasingly be able to outperform their competitors and drive significant value to the company's bottom line.

This paper identifies and models the effect of eight attributes that influence hotel room rents in India. These attributes are conceptually grouped into three factors: (1) site factors including the presence or absence of a “swimming pool,” “free breakfast,” and the “hotel capacity”; (2) situational factors including, “distance from the airport,” “weekend/weekday,” “city population,” “cost of living”; and (3) a reputation factor indicated by “star rating.” Our regression model uses secondary data collected from a hotel booking website for 570 hotels across 18 cities of India. The results indicate that six out of these eight variables namely, presence of swimming pool, free breakfast, hotel capacity, distance from the airport, city population, and hotel star rating have a significant impact on hotel room rents in India.

The existence of statistical price index series does not persuasively support proposals to modify account data from prior transaction experience. The consequences of using accounting techniques will demonstrate whether those actions have served accounting objectives satisfactorily. Management’s overt actions in the markets, rather than changes in general price-levels, are the source of enterprise earnings. Accounting objectives are either compelling or limiting elements affecting the choice and use of accounting techniques.

This paper investigates the role of the border in Canadian and U.S. prices, based on a sample of highly disaggregated city-level retail prices. It finds substantial short-run differences in cross-border prices. While most of these are eliminated over time, long-run differences in the cross-border prices remain. These long-run cross-border differences average just over 20%, compared to mean long-run intranational price gaps of 7–9%. Short-run price differences are eliminated at similar rates in the cross-border and intranational data. Evidence from national average prices suggests the gap between cross-border prices has not narrowed during the recent depreciation of the Canadian dollar.