959 resultados para Consumer Goods
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Printed blank for arrival of goods by Great Western Railway at St. Catharines, Aug. 24, 1876.
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Printed blank for arrival of goods by Great Western Railway at St. Catharines, Nov. 18 [1876].
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Receipt from McLaren and Co., St. Catharines, Importers of Dry Goods, Millinery etc., for clothing and repairs to clothing, Aug. 14, 1886.
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Receipt from Adam, Meldrum and Anderson Dry Goods and Carpets, Buffalo, New York for curtains, materials and hooks, Sept. 6, 1886.
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Receipt from Henry Carlisle, Importer of Dry Goods and Millinery, St. Catharines for hats, Dec. 31, 1886.
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Receipt from The Big 22, Dry Goods, Millinery and Mantles, St. Catharines for payment on account, Jan26, 1887.
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Receipt from McSloy Bros., St. Catharines for baked goods, July 15, 1887.
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Receipt from McSloy Bros., St. Catharines for baked goods, Dec. 2, 1887.
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Receipt from McSloy Bros., St. Catharines for baked goods, Feb. 1888
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Bill of Landing (copy) for packaged goods received at Port Hamilton, Oct. 14, 1839.
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Inventory of goods and chattels belonging to Samuel Wood and delivered to the Honourable William Dickson (double-sided, handwritten page), Dec. 10, 1828.
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List of goods shipped to Henry Nelles of Grimsby by Gerrard, Gillespie and Moffat Co. of Montreal (6 ½ page list, handwritten) for blankets, food, clothing and other items Sept. 14, 1821.
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List of goods including pots, food and nails ordered by Robert Nelles (2 ½ pages, handwritten). The item is stained and slightly torn, but legible, July 4, 1824.
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We study the problem of locating two public goods for a group of agents with single-peaked preferences over an interval. An alternative specifies a location for each public good. In Miyagawa (1998), each agent consumes only his most preferred public good without rivalry. We extend preferences lexicographically and characterize the class of single-peaked preference rules by Pareto-optimality and replacement-domination. This result is considerably different from the corresponding characterization by Miyagawa (2001a).
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This paper presents a new theory of random consumer demand. The primitive is a collection of probability distributions, rather than a binary preference. Various assumptions constrain these distributions, including analogues of common assumptions about preferences such as transitivity, monotonicity and convexity. Two results establish a complete representation of theoretically consistent random demand. The purpose of this theory of random consumer demand is application to empirical consumer demand problems. To this end, the theory has several desirable properties. It is intrinsically stochastic, so the econometrician can apply it directly without adding extrinsic randomness in the form of residuals. Random demand is parsimoniously represented by a single function on the consumption set. Finally, we have a practical method for statistical inference based on the theory, described in McCausland (2004), a companion paper.