DO ROCKETS RISE FASTER AND FEATHERS FALL SLOWER IN AN ATMOSPHERE OF LOCAL MARKET POWER? EVIDENCE FROM THE RETAIL GASOLINE MARKET*

This study explores the possibility that local market power influences the observed asymmetric relationship between changes in wholesale gasoline costs and changes in retail gasoline prices. I exploit an original data set of weekly gas station prices in Southern California from September, 2002 to May, 2003, and take advantage of detailed station and local market level characteristics to determine the extent to which geographic and product differentiation influence price response asymmetry. I find that brand identity, proximity to rival stations and local market features and demographics each influence a station's predicted price‐response asymmetry.     

The Long‐Run Relationship Between House Prices and Rents

I use standard error‐correction models and long‐horizon regression models to examine how well the rent–price ratio predicts future changes in real rents and prices. I find evidence that the rent–price ratio helps predict changes in real prices over 4‐year periods, but that the rent–price ratio has little predictive power for changes in real rents over the same period. I show that a long‐horizon regression approach can yield biased estimates of the degree of error correction if prices have a unit root but do not follow a random walk, and I construct bootstrap distributions to conduct appropriate inference in the presence of this bias. The results lend empirical support to the view that the rent–price ratio is an indicator of valuation in the housing market.     

Waterfall Versus Sprinkler Product Launch Strategy: Influencing the Herd

A seller decides the price and sequence in which a product of unknown value is introduced to consumers. Consumers inspect the product before consumption and observe past prices and sales. Consumption at a high price is informative for later consumers as it indicates that the product is likely to be of high value. I show that on an average prices decrease over time. However, expected revenue on an average rises over time. For a high enough discount factor, I find that for extreme beliefs the firm introduces the product to all consumers but for intermediate values the product is introduced only to one consumer.     

The Economic Impact of Wireless Number Portability

This paper examines the price response of wireless carriers to the introduction of number portability in the U.S. I find that wireless prices decreased in response to number portability, but not uniformly across plans. Average prices for the plans with the fewest minutes decreased by only $0.19/month (0.97%), but average prices for medium and high‐volume plans decreased by $3.64/month (4.84%) and $10.29/month (6.81%), respectively. The results suggest that higher‐volume users in the wireless market benefited more from the policy‐induced reduction in switching costs.     

Do Low‐Price Guarantees Guarantee Low Prices? Evidence from Competition between Amazon and Big‐Box Stores

It has long been understood in theory that price‐match guarantees can be anticompetitive, but to date, scant empirical evidence is available outside of some narrow markets. This paper broadens the scope of empirical analysis, studying a wide range of products sold on a national online market. Using an algorithm that extracts data from charts, I obtain a novel source of data from online price trackers. I examine prices of goods sold on Amazon before and after two big‐box stores (Target and Best Buy) announced a guarantee to match Amazon's prices. Employing both difference‐in‐difference and regression‐discontinuity approaches, I robustly estimate a positive causal effect of six percentage points. The effect was heterogeneous, with larger price increases for initially lower‐priced items. My results support anticompetitive theories which predict price increases for Amazon, a firm that did not adopt the guarantee, and are consistent with plausible mechanisms for the heterogeneous impact.     

Ordered search in differentiated markets

This paper presents an ordered search model in which consumers search both for price and product fitness. I construct an equilibrium in which there is price dispersion and prices rise in the order of search. The top firms in consumer search process, though charge lower prices, earn higher profits due to their larger market shares. Compared to random search, ordered search can induce all firms to charge higher prices and harm market efficiency.     

The agency and wholesale models in electronic content markets

I analyze a model of dynamic competition between retail platforms in the presence of consumer lock-in. Two different revenue models are considered, one in which platforms set final retail prices and one in which the suppliers set final retail prices. Platforms have long-term (or strategic) pricing incentives but suppliers do not, which implies that the inter-temporal price path faced by consumers depends on the revenue model in place. When suppliers set prices instead of platforms, prices may be higher in early periods but lower in later periods, suggesting that appropriate antitrust enforcement ought to consider more than initial price changes when an industry shifts to the agency model. Indeed, consumers may (but need not) prefer the agency model even when prices increase in initial periods. A potential downside of the agency model is that it may align the incentives of suppliers and platforms and thereby encourage platforms to lower the competitiveness of the supplier market, harming consumers; no such incentives exist under the wholesale model. I relate my results to events in the market for electronic books.     

Asymmetric price adjustments: A supply side approach

Using a model of dynamic price competition, we provide an explanation from the supply side for the well-established observation that output prices react faster in response to input cost increases than to decreases. When costs decline, the opportunity of profitable storing in anticipation of higher future costs allows competitive firms to coordinate on prices above current marginal costs. The initial price response is only partial and profitable storing relaxes competition. Conversely, when costs rise, storing is not beneficial in anticipation of lower future costs and firms immediately adjust their prices to current marginal costs, which entails the standard Bertrand outcome. Our results shed new light on the empirical evidence about asymmetric pricing and can stimulate further empirical investigation on this puzzle.     

Empirical effects of short-term export bans: The case of African maize

Temporary export restrictions have been widely used in recent years in an attempt to stabilize domestic prices of staple grains. I use monthly, market-level price data to investigate the empirical effects of 13 short-term export bans on maize implemented by 5 countries in East and Southern Africa. I find no statistically significant effect of export bans on the price gaps between pairs of affected cross-border markets. My results for price gaps match those from a model simulation in which export bans are not implemented. However, prices and price volatility in the implementing country are significantly higher during export ban periods in the data than in the model simulation with no bans. Export bans in the region are imperfectly enforced, divert trade into the informal sector, and appear to destabilize domestic markets rather than stabilizing them.     

An empirical investigation of the determinants of asymmetric pricing

This article empirically investigates the cause of asymmetric pricing: retail prices responding faster to cost increases than decreases. Using daily price data for over 11,000 retail gasoline stations, I find that prices fall more slowly than they rise as a consequence of firms extracting informational rents from consumers with positive search costs. Premium gasoline prices are shown to fall more slowly than regular fuel prices, which supports theories based upon competition with consumer search. Further testing also rejects focal price collusion as an important determinant of asymmetric pricing.     

Do Edgeworth price cycles lead to higher or lower prices?

A recent literature seeks to understand the causes of the high-frequency, asymmetric retail price cycles observed in many retail gasoline markets. However, much less attention has been given to the effects of the cycles, in particular, whether the cycles lead to higher or lower prices and margins. The leading theory for the underlying cause of the price cycles, Edgeworth price cycles, is silent on the issue. The challenge in addressing this most important question has been the difficulty in isolating cycle effects from other confounding factors, especially market structure. In this article, I exploit a unique natural experiment to isolate the effect of cycles — a refinery fire that, in a matter of days, halted cycles that had previously persisted for decades. I find that Edgeworth price cycles lead to lower prices and lower margins. I conclude with implications for competition policy.     

PRICES,SPATIAL COMPETITION AND HETEROGENEOUS PRODUCERS: AN EMPIRICAL TEST*

Homogeneous‐producer models attribute lower prices in denser markets solely to lower optimal markups. I argue here that when producers have different production costs, competition‐driven selection on costs also reduces prices. This selection mechanism can be distinguished from the homogenous‐producer case because it implies that higher density leads not only to lower average prices, but to declines in upper‐bound prices and price dispersion as well. I find empirical support for this mechanism in the prices of ready‐mixed concrete plants. I also show these findings do not simply reflect lower factor prices in dense markets, but result instead because dense‐market producers are more efficient.     

Estimating Market Power in the US Copper Industry

Before 1978, most of the domestic copper production in the US and an important share of imports were traded at a price set by the major US producers. At the same time, the rest of the world was trading copper at prices determined in auction markets. This two-price system ended in 1978, when the largest US producers began using the Comex price of refined copper as a benchmark for setting their prices. Using this regime shift, I empirically test the competitive behavior of the US copper industry before 1978. The results show that copper prices were close to the levels predicted by a competitive model of the industry.     

我国商品房市场量价关系的实证分析

目前对房地产市场的研究主要集中于房价,而对量价关系的研究较少。鉴于此,文章利用1998～2008年的全国商品房季度数据,对我国商品房市场量价关系进行实证研究,并得出以下结论：从长期来看,我国商品房市场的交易量与价格之间存在协整关系;因果检验显示交易量是价格的格兰杰原因,反之则不成立;通过脉冲响应函数发现外界冲击导致了量价的一致波动且交易量对外界冲击的响应比房价更敏感。     

Dynamic Pricing,Advance Sales and Aggregate Demand Learning in Airlines

This paper uses a unique U.S. airlines panel data set to study empirically the dynamic pricing of inventories with uncertain demand over a finite horizon. I estimate a dynamic pricing equation and a dynamic demand equation that jointly characterize the adjustment process between prices and sales as the flight date nears. I find that the price increases as the inventory decreases, and decreases as there is less time to sell. Consistent with aggregate demand learning and price adjustment, demand shocks have a positive and much larger effect on prices than the positive effect of anticipated sales.     

Commodity price inflation, retail pass-through and market power

When commodity prices rise, wholesalers and retailers of products derived from basic commodities respond by passing along at least a portion of the price increase to consumers. In this paper we examine whether firms respond differently to positive commodity price shocks than to negative commodity price shocks; that is, whether commodity price volatility alters market power. We exploit recent volatility in food commodity prices over the period 2007-2010 to investigate how commodity price shocks translate into market power in two different vertically-structured food product industries: potatoes and fluid milk. For potatoes, we find both wholesale and retail market power decreases (increases) during periods of rising (falling) commodity prices. Moreover, price-cost margins widen a substantially greater degree in response to negative shocks than margins narrow in response to positive shocks, indicating that commodity price volatility increases market power. For fluid milk, we find that market power likewise declines during periods of rising commodity prices; however, market power does not significantly change during periods of falling commodity prices, suggesting that commodity price volatility decreases market power.     

Secret reserve prices in first-price auctions

This article offers a theoretical explanation for the use of secret reserve prices in auctions. I study first-price auctions with and without secret reserve price in an independent private values environment with risk-neutral buyers and a seller who cares at least minimally about risk. The seller can fix the auction rules either before or after she learns her reservation value. Fixing the rules early and keeping the right to set a secret reserve price can be strictly optimal. Moreover, I describe the relation of using a secret reserve price to phantom bidding and non-commitment to sell.     

Repeat Sales as a Matching Estimator

The most common approaches for constructing house price indices—hedonic price functions and the repeat sales estimator—focus on changes over time in mean prices. Though the hedonic approach is less wasteful of data than the repeat sales estimator, it relies on an accurate specification of the underlying econometric model. I suggest using a matching estimator as an alternative to the hedonic and repeat sales approaches. Like the repeat sales approach, a matching estimator uses pairs of sales from different dates to estimate the mean difference in sales prices over time. The matching approach preserves much larger sample sizes than the repeat sales estimator while requiring less preimposed structure than the hedonic approach. The matching approach makes it easy to characterize changes in the full distribution of house prices.     

中国上海燃料油期货定价模型研究

采用协整理论及基于VAR的Grange因果关系检验与冲击反应函数方法对中国上海期货交易所燃料油期货价格作建模分析。单位根检验显示，选取的样本序列均为I（1）。Granger因果关系检验显示：美原油期货价格，新加坡180燃料油现货价格变量为燃料油期价的Granger原因；上海燃料油期货价格是黄埔现货价格的单向的Granger原因，期货价格对现货价格具有发现作用。最终作出的长期协整方程显示：美原油期货价格，新加坡180燃料油现货价格、欧元汇率与上海燃料油现货价构成长期显著的均衡关系。美原油期货价格对沪燃料油期价的弹性为0．85；新加坡180燃料油现货价格对沪燃料油期价的弹性为0．78；欧元汇率对沪燃料油期价的弹性为1．04。从最终建立动态模型来看，模型有较好的拟合及预测精度。因此，该模型对沪燃料油期价风险控制具有较好的参考作用。     

PRICE DISPERSION IN THE SMALL AND IN THE LARGE: EVIDENCE FROM AN INTERNET PRICE COMPARISON SITE

This paper examines four million daily price observations for more than 1,000 consumer electronics products on the price comparison site http://Shopper.com . We find little support for the notion that prices on the Internet are converging to the 'law of one price.' In addition, observed levels of price dispersion vary systematically with the number of firms listing prices. The difference between the two lowest prices (the 'gap') averages 23 per cent when two firms list prices, and falls to 3.5 per cent in markets where 17 firms list prices. These empirical results are an implication of a general 'clearinghouse' model of equilibrium price dispersion.