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Factor price

About: Factor price is a research topic. Over the lifetime, 2764 publications have been published within this topic receiving 86176 citations.


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TL;DR: In this paper, the authors studied the producer price setting in 6 countries of the euro area: Germany, France, Italy, Spain, Belgium and Portugal, and found that prices change very often in the energy sector, less often in food and intermediate goods and least often in non-durable nonfood and durable goods.
Abstract: This paper documents producer price setting in 6 countries of the euro area: Germany, France, Italy, Spain, Belgium and Portugal. It collects evidence from available studies on each of those countries and also provides new evidence. These studies use monthly producer price data. The following five stylised facts emerge consistently across countries. First, producer prices change infrequently: each month around 21% of prices change. Second, there is substantial cross-sector heterogeneity in the frequency of price changes: prices change very often in the energy sector, less often in food and intermediate goods and least often in non-durable non-food and durable goods. Third, countries have a similar ranking of industries in terms of frequency of price changes. Fourth, there is no evidence of downward nominal rigidity: price changes are for about 45% decreases and 55% increases. Fifth, price changes are sizeable compared to the inflation rate. The paper also examines the factors driving producer price changes. It finds that costs structure, competition, seasonality, inflation and attractive pricing all play a role in driving producer price changes. In addition producer prices tend to be more flexible than consumer prices.

479 citations

Posted Content
TL;DR: A number of recent studies appear to show that international trade is a secondary factor in the growing inequality of wages, with technology probably the main culprit as mentioned in this paper, but these studies have been subjected to severe and in some cases harshly worded criticism by trade theorists, who argue that the authors of these studies misspecified the impacts of both technology and trade on factor prices.
Abstract: A number of recent studies appear to show that international trade is a secondary factor in the growing inequality of wages, with technology probably the main culprit. These studies have, however, been subjected to severe and in some cases harshly worded criticism by trade theorists, who argue that the authors of these studies have misspecified the impacts of both technology and trade on factor prices. This paper shows that it is the critics who are confused. In particular, much recent discussion about technology, trade, and wages is marked by a failure to distinguish between the models we all use and the particular thought experiments we typically use to teach these models -- which happen not to be the appropriate thought experiments we need to analyze the real-world issues.

476 citations

Journal ArticleDOI
TL;DR: A single-period inventory model in which a risk-averse retailer faces uncertain customer demand and makes a purchasing-order-quantity and a selling-price decision with the objective of maximizing expected utility is considered, providing a better understanding of retailers' pricing behavior.
Abstract: We consider a single-period inventory model in which a risk-averse retailer faces uncertain customer demand and makes a purchasing-order-quantity and a selling-price decision with the objective of maximizing expected utility. This problem is similar to the classic newsvendor problem, except: (a) the distribution of demand is a function of the selling price, which is determined by the retailer; and (b) the objective of the retailer is to maximize his/her expected utility. We consider two different ways in which price affects the distribution of demand. In the first model, we assume that a change in price affects the scale of the distribution. In the second model, a change in price only affects the location of the distribution. We present methodology by which this problem with two decision variables can be simplified by reducing it to a problem in a single variable. We show that in comparison to a risk-neutral retailer, a risk-averse retailer in the first model will charge a higher price and order less; where as, in the second model a risk-averse retailer will charge a lower price. The implications of these findings for supply-chain strategy and channel design are discussed. Our research provides a better understanding of retailers' pricing behavior that could lead to improved price contracts and channel-management policies.

456 citations

Posted Content
TL;DR: In this paper, the authors argue that consumers do use reference prices, but one that is also based on context- other prices in the store-rather than on past prices alone, and an analysis of households' brand choices in two subcategories and over three cities support this premise.
Abstract: An emerging consensus in marketing is that consumers respond to price relative to some standard or reference price. Most researchers modeling brand choice have reasoned that this standard is based on past prices of the brand. The authors argue that consumers do use reference prices, but one that is also based on context- other prices in the store-rather than on past prices alone. An analysis of households' brand choices in two subcategories and over three cities support this premise. Within context, the lowest price seems to be an important cue for reference price, whereas within time, a brand's own past prices seem to be the most important cue. Households' use of a contextual reference price also varies predictably across some consumer characteristics. Though their model can be applied to other categories, the findings have important managerial implications: Managerial focus on temporal reference prices could lead to an everyday high price, whereas focus on contextual reference prices could lead to an everyday low price. Only the inclusion of both contextual and temporal reference prices justifies variable pricing.

455 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20236
20227
202115
202017
201919
201816