“…For the former approach, see also KSnig and Zimmermann (1988) and Pagoulatos and Sorensen (1986). It has to be expected that firm size and market power reduces ~i Y and, therefore, the relative export price.…”
Section: Theoretical and Methodological Framework And Datamentioning
This paper contributes to the rising field in international trade and industrial organization. A vast sample of Italian micro data is used to study the behavior of relative export prices in imperfect markets. It is shown that relative export prices, the relation of prices a firm charges on export and domestic markets, are, in general, downward biased. Moreover, relative export prices depend negatively on firm size and market concentration, but positively on the average export share of the industry. This indicates that markets are segmented and firms are able to discriminate prices. Copyright Kluwer Academic Publishers 1991imperfect markets, export activity, price discrimination, probit analysis,
“…For the former approach, see also KSnig and Zimmermann (1988) and Pagoulatos and Sorensen (1986). It has to be expected that firm size and market power reduces ~i Y and, therefore, the relative export price.…”
Section: Theoretical and Methodological Framework And Datamentioning
This paper contributes to the rising field in international trade and industrial organization. A vast sample of Italian micro data is used to study the behavior of relative export prices in imperfect markets. It is shown that relative export prices, the relation of prices a firm charges on export and domestic markets, are, in general, downward biased. Moreover, relative export prices depend negatively on firm size and market concentration, but positively on the average export share of the industry. This indicates that markets are segmented and firms are able to discriminate prices. Copyright Kluwer Academic Publishers 1991imperfect markets, export activity, price discrimination, probit analysis,
“…-- .3) , unpublished estimates provided by the authors . This model and the following models use elasticities from Pagoulatos and Sorenson (1986) .…”
In the past 15 years, industrial-organization economists have significantly expanded the range of algorithms for calculating welfare losses due to imperfect competition. We compare eleven empirical estimates of economic losses due to market power in 47 U.S. food manufacturing industries, almost all of them previously unpublished. Each of the studies incorporate different theoretical assumptions about demand conditions, supply conditions, or industry pricing behavior; or they utilize various data sources, time periods, and assumptions about the proper competitive benchmark. The estimates of average allocative losses due imperfect competition range from 0.2 percent to an impossibly high 289 percent of industry output; consumer losses range from 6.0 percent to 816 percent. However, there is a high degree of congruence in the rankings of economic losses due to market power. Hence, from the perspective of antitrust enforcement, the choice of industry targets has not been greatly altered by advances in estimation techniques.
“…Data for these variables were collected for 44 industries at the 4-digit SIC level for 1987, the most recent year available. The estimates of industry demand elasticity (r|) were taken from Pagoulatos and Sorensen (1986). 6 The values of H and dollar sales were taken from the 1987 Census of Manufacturers.…”
Section: Data and Estimation Proceduresmentioning
confidence: 99%
“…6. For SICs 2048, 2074, 2076, 2084, and 2086, the elasticities reported by Heien and Pompelli (1989) and Gould, Cox, and Perali (1991) were used because of the low statistical significance of the corresponding demand elasticities estimated by Pagoulatos and Sorensen (1986) for those industries. 7.…”
This article systematically estimates the allocative efficiency losses in the U.S. food and tobacco manufacturing industries under alternative oligopoly pricing regimes using a formal model of oligopoly. Using 1987 data for 44 industries and an industry-wide oligopoly pricing scheme, these losses were estimated at approximately 3% of sales~2% in the food industries and 19% in the tobacco industries. Five additional oligopoly pricing regimes, four of which are price leaderships, are simulated and their results compared and tested relative to the industry-wide pricing regime. Findings underscore the importance of cost structure assumptions and that the impact of the type of oligopoly behavior assumed is not as dramatic when differences in demand and cost specifications are smoothed out.
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