A search cost model of obfuscation

This article develops models in which obfuscation is individually rational for oligopolistic firms. Firms sell a homogeneous good to rational consumers who incur search costs to learn prices. Search costs are endogenized by allowing obfuscation—firms have an unobservable action that increases the time needed to learn their price. One model involves search costs convex in shopping time. We show that slight convexity can dramatically alter the equilibrium price distribution. A second model examines an informational linkage between current and future search costs: consumers are uncertain about a component of search costs. Here, a signal‐jamming mechanism can lead to equilibrium obfuscation.     

Oligopolistic markets with sequential search and production cost uncertainty

This article analyzes a sequential search model where firms face identical but stochastic production costs, the realizations of which are unknown to consumers. We characterize a perfect Bayesian equilibrium satisfying a reservation price property and provide a sufficient condition for such an equilibrium to exist. We show that (i) firms set on average higher prices and make larger profits compared to the scenario where consumers observe production costs, (ii) expected prices and consumer welfare can be non‐monotonic in the number of firms, and (iii) the impact of production cost uncertainty vanishes as the number of firms becomes very large.     

Search platforms: showrooming and price parity clauses

We provide a model in which consumers search for firms directly or through platforms. Platforms lower search costs but charge firms for the transactions they facilitate. Platform fees raise the possibility of showrooming, in which consumers search on a platform but then switch and buy directly to take advantage of lower direct prices. In settings like this, search platforms like Booking.com have adopted price parity clauses, requiring firms to offer their best prices on the platform, arguing this is needed to prevent showrooming. However, despite allowing for showrooming in our model, we find that price parity clauses often harm consumers.     

The role of two frictions in geographic price dispersion: When market friction meets nominal rigidity

This paper empirically investigates and theoretically derives the implications of two frictions, market friction and nominal rigidity, on the dynamic properties of intra-national relative prices, with an emphasis on the interaction of the two frictions. By analyzing a panel of retail prices of 45 products for 48 U.S. cities over the period 1985–2009, we make two major arguments. First, the effect of each type of friction on the dynamics of intercity price gaps is quite different. While market frictions arising from physical distance and transportation costs have a positive impact on volatility and persistence of intercity price dispersion, nominal rigidities have a positive impact on persistence but a negative impact on volatility. This empirical evidence is different from what is predicted by standard theoretical cross-country models based on price stickiness. Second, complementarities exist between market frictions and nominal rigidities such that the marginal effect of a market friction dwindles as nominal rigidities increase. We provide an alternative theoretical explanation for this finding by extending the state-dependent pricing (SDP) model of Dotsey et al. (1999) and show that our two-city model with nominal rigidity and market frictions can successfully explain the salient features of the dynamic behavior of intercity price differences that have not been captured in previous analysis.     

Ramsey monetary policy with labor market frictions

Traditional New Keynesian models prescribe that optimal monetary policy should aim at price stability. In the absence of a labor market frictions, the monetary authority faces no unemployment/inflation trade-off. The design of optimal monetary policy is analyzed here for a framework with sticky prices and matching frictions in the labor market. Optimal policy features deviations from price stability in response to both productivity and government expenditure shocks. When the Hosios [1990. On the efficiency of matching and related models of search and unemployment. Review of Economic Studies 57 (2), 279-298] condition is not met, search externalities make the flexible price allocation unfeasible. Optimal deviations from price stability increase with workers’ bargaining power, as firms incentives to post vacancies fall and unemployment fluctuates above the Pareto efficient one.     

Market power,price discrimination,and allocative efficiency in intermediate‐goods markets

We consider a monopolistic supplier's optimal choice of two‐part tariff contracts when downstream firms are asymmetric. We find that the optimal discriminatory contracts amplify differences in downstream firms' competitiveness. Firms that are larger—either because they are more efficient or because they sell a superior product—obtain a lower wholesale price than their rivals. This increases allocative efficiency by favoring the more productive firms. In contrast, we show that a ban on price discrimination reduces allocative efficiency and can lead to higher wholesale prices for all firms. As a result, consumer surplus, industry profits, and welfare are lower.     

Search and Wholesale Price Discrimination

Firms often choose not to post prices in wholesale markets, and buyers must incur costs to discover prices. Inspired by evidence of customized pricing (e.g., some customers pay up to 70% more than others) and search costs, I estimate a search model to study how personalized pricing impacts efficiency in a wholesale market. I find that price discrimination decreases total surplus by 11.6% and increases the sellers' profits by up to 52.1%. These effects are partially explained by price discrimination softening competition through a decrease in search incentives, illustrating how price discrimination may magnify the efficiency costs of search frictions.     

Trading Frictions and House Price Dynamics

We model liquidity in housing markets. The model provides a simple characterization for the joint process of prices, sales, and inventory. We compare the implications of the model to certain properties of housing markets. The model can generate the large price changes and the positive correlation between prices and sales that we see in the data. Unlike the data, prices are negatively autocorrelated and high inventory predicts price appreciation. We investigate several amendments to the model. Informational frictions show promise.     

Search costs,demand‐side economies,and the incentives to merge under Bertrand competition

We study the incentives to merge and the aggregate implications of mergers in a Bertrand competition model where firms sell differentiated products and consumers search sequentially for satisfactory deals. When search frictions are substantial, firms have an incentive to merge and to retail their products within a single store, which induces consumers to begin their search there. Such a merger lowers the profits of the outsiders and may benefit consumers due to more efficient search. Overall welfare may even increase. If the merged entity limits itself to coordinating the prices of the constituent firms, merging may not be profitable.     

Search Frictions,Real Rigidities,and Inflation Dynamics

The literature on New Keynesian models with search frictions in the labor market commonly assumes that price setters are not actually subject to such frictions. Here, I propose a model where firms are subject both to infrequent price adjustment and search frictions. This interaction gives rise to real price rigidities, which have the effect of slowing down the adjustment of the price level to shocks. This has a number of consequences for equilibrium dynamics. First, inflation becomes less volatile and more persistent. More importantly, the model’s empirical performance improves along its labor market dimensions, such as the size of unemployment fluctuations and the relative volatility of the two margins of labor.     

A Labor Capital Asset Pricing Model

We show that labor search frictions are an important determinant of the cross‐section of equity returns. Empirically, we find that firms with low loadings on labor market tightness outperform firms with high loadings by 6% annually. We propose a partial equilibrium labor market model in which heterogeneous firms make dynamic employment decisions under labor search frictions. In the model, loadings on labor market tightness proxy for priced time‐variation in the efficiency of the aggregate matching technology. Firms with low loadings are more exposed to adverse matching efficiency shocks and require higher expected stock returns.     

A retail benchmarking approach to efficient two‐way access pricing: no termination‐based price discrimination†

We study access pricing rules that determine the access prices between two networks as a linear function of marginal costs and (average) retail prices set by both networks. When firms compete in linear prices, there is a unique linear rule that implements the Ramsey outcome as the unique equilibrium, independently of underlying demand conditions. When firms compete in two‐part tariffs, there exists a class of rules under which firms choose the variable price equal to the marginal cost. Therefore, the regulator can choose among these rules to pursue additional objectives such as increasing consumer surplus or promoting socially optimal investment.     

Estimating the frequency of price re-optimization in Calvo-style models

This paper assesses the empirical performance Calvo style models of price re-optimization. We first show that versions of these models in which firms update non-re-optimized prices to lagged inflation account well for the statistical behavior of post-war U.S. inflation rates. We then investigate whether these models imply plausible degrees of inertia in price setting behavior by firms. They do, but only if we depart from two standard auxiliary assumptions: monopolistically competitive firms face a constant elasticity of demand, and capital is homogeneous and can be instantaneously reallocated after a shock. We develop a version of the model in which these assumptions are relaxed and show that it is consistent with the view that firms re-optimize prices, on average, once every two quarters.     

Google attention and target price run ups

We explore the increase in the share prices of target firms before their merger announcements. We use a novelty Google search volume to proxy the market expectation hypothesis according to which firms with an abnormal upward change in Google searches are identified as firms with potential merger activity. We find that Google indicators can explain a larger percentage of the price increase in target firms before their mergers than the Financial Times. However even the Google proxy of the market expectation hypothesis can only explain at best 36% of the target price run ups.     

Identifying Price Reviews by Firms: An Econometric Approach

Price reviews are a potentially costly activity. A significant fraction of unchanged prices may stem from firms not reviewing prices, rather than from obstacles to changing prices per se, such as menu costs. In this paper, we disentangle these two causes of price stickiness by estimating an inflated ordered probit model on a panel of French manufacturing firms. The results point to a low frequency of price reviews, suggestive of the relevance of information costs as a determinant of the observed price stickiness. In view of the “inattentive producers” literature, pointing that the source of price rigidity matters, this is suggestive of a large real effect of monetary policy.     

Search with learning: understanding asymmetric price adjustments

In many retail markets, prices rise faster than they fall. We develop a model of search with learning to explain this phenomenon of asymmetric price adjustments. By extending our static game analysis to the dynamic setting, we demonstrate that asymmetric price adjustments arise naturally. When a positive cost shock occurs, all the searchers immediately learn the true state; the search intensity, and hence the prices, fully adjust in the next period. When a negative cost shock occurs, it takes longer for nonsearchers to learn the true state, and the search intensity increases gradually, leading to slow falling of prices.     

Resale price maintenance and collusion

The article revisits the conventional wisdom according to which vertical restrictions on retail prices help upstream firms to collude. We analyze the scope for collusion with and without resale price maintenance (RPM) when retailers observe local shocks on demand or retail costs. In the absence of RPM, retail prices react to retailers' information, and deviations from collusive behavior are thus difficult to detect. By eliminating retail price flexibility, RPM facilitates the detection of deviations but reduces profits and thus increases the short‐run gains from a deviation. Overall, RPM can facilitate collusion and reduce total welfare when firms adopt it.     

Using price distributions to estimate search costs

We show how the equilibrium restrictions implied by standard search models can be used to estimate search‐cost distributions using price data alone. We consider both sequential and non‐sequential search strategies, and develop estimation methodologies that exploit equilibrium restrictions to recover estimates of search‐cost heterogeneity that are theoretically consistent with the search models. We illustrate the method using online prices for several economics and statistics textbooks.     

A Search-Based Theory of the On-the-Run Phenomenon

We propose a model in which assets with identical cash flows can trade at different prices. Infinitely lived agents can establish long positions in a search spot market, or short positions by first borrowing an asset in a search repo market. We show that short-sellers can endogenously concentrate in one asset because of search externalities and the constraint that they must deliver the asset they borrowed. That asset enjoys greater liquidity, a higher lending fee ("specialness"), and trades at a premium consistent with no-arbitrage. We derive closed-form solutions for small frictions, and provide a calibration generating realistic on-the-run premia.     

Macroeconomic dynamics in a model of goods,labor, and credit market frictions

Goods market frictions drastically change the dynamics of the labor market, both in terms of persistence and volatility. In a model with three imperfect markets – goods, labor, and credit – we find that credit and goods market imperfections are substitutable in raising volatility. Goods market frictions are unique in generating persistence. Two key mechanisms in the goods market generate large hump-shaped responses to productivity shocks: countercyclical goods market tightness and prices alter future profit flows and raise persistence; procyclical search effort of consumers and firms raises amplification. Goods market frictions are thus key in understanding labor market dynamics.