Price Discrimination in Two‐Sided Markets

We examine the profitability and welfare implications of targeted price discrimination (PD) in two‐sided markets. First, we show that equilibrium discriminatory prices exhibit novel features relative to discriminatory prices in one‐sided models and uniform prices in two‐sided models. Second, we compare the profitability of perfect PD, relative to uniform prices in a two‐sided market. The conventional wisdom from one‐sided horizontally differentiated markets is that PD hurts the firms and benefits consumers, prisoners' dilemma. We show that PD, in a two‐sided market, may actually soften the competition. Our results suggest that the conventional advice that PD is good for competition based on one‐sided markets may not carry over to two‐sided markets.     

Apple's disaster: Linking two‐sided markets and strategic delegation

Asymmetric pricing structure and different intergroup network externalities are characteristics of two‐sided markets not captured in the analysis of one‐sided markets. Focusing on Cournot duopoly where membership decision may be delegated to a manager, several equilibrium regimes are sustained depending on the fixed cost of managerial hiring and strength of the network externality exerted by the side whose demand is more price sensitive. The change from null to full delegation sharpens the asymmetric pricing structure and reduces the price level in two‐sided markets. Contrary to one‐sided markets with direct network effects, the prisoner's dilemma holds for sufficiently strong indirect network externalities. Imperfect interside discrimination of managerial incentives ensures profit maximization and efficient consumers' allocation. Private hiring should occur when the two‐sided market exhibits symmetric pricing structure. An explanation for Apple's unprecedented event is provided. The reduction of revenue and managerial bonus in 2016 may be justified by the dissemination of full delegation in the Chinese information technology industry. Apple's upcoming strategy may consist on reducing both access prices, although the side whose demand is more price sensitive should have a greater price reduction. Alternatively, improving the content quality may constitute Apple's corporate strategy, thereby inducing a skimming pricing strategy on Chinese rivals.     

Exclusionary practices in two‐sided markets: The effect of radius clauses on competition between shopping centers

We analyze exclusionary conduct of platforms in 2‐sided markets. Motivated by recent antitrust cases, we provide a discussion of the likely positive and normative effects of exclusivity clauses, which prevent tenants from opening outlets in other shopping centers covered by the clause. In a standard 2‐sided market model, we show that exclusivity agreements are especially profitable for the incumbent and detrimental to social welfare if competition is intense between the 2 shopping centers. We argue that the focus of courts on market definition is misplaced in markets determined by competitive bottlenecks.     

Following in Partners’ Footsteps: An Uncertainty‐Reduction Perspective on Firms’ Choice of New Markets

In this paper, we develop a new perspective on what determines firms’ choice of new markets for entry. First, drawing on the open‐system theoretical tradition and literature on inter‐organizational networks, we advance and empirically test the proposition that firms tend to enter new markets to which they are connected by partnership ties. We then show that this network influence is filtered through the structure of firms’ network connections to new markets and firms’ experience. Specifically, we find that multiplicity of connections to new markets, as well as the extensiveness of firms’ experience and its relevance to new markets weaken the effect of network ties on firms’ choice of new markets. The results of this study indicate that firms’ choice of new markets for entry is a nuanced process that is affected by the interplay of firms’ collaborative ties, the structure of their network, and firms’ internal capabilities. We test our hypotheses in the empirical context of the U.S. venture capital (VC) industry using panel data over a 23‐year period and find broad support for them.     

The Foundations of International Business: Cross‐Border Investment Activity and the Balance between Market‐Power and Efficiency Effects

The foundational international business (IB) scholarship grappled with whether multinational enterprises (MNEs) are largely efficiency‐enhancing or market‐power inducing institutions. Contemporary scholarship, however, often associates foreign direct investment (FDI) with efficiency‐enhancing properties and thus neglects the market‐power interpretation of the MNE. Such an imbalance is problematic given that the theoretical and empirical justifications behind the field's embrace of the efficiency interpretation are not fully evident. Instead, both efficiency and market‐power effects are seemingly present in cross‐border investment activity. Based on a comprehensive sample of up to 4,361 cross‐border investments materializing between 1986 and 2010, we present theoretically‐grounded hypotheses with regard to when market‐power effects will tend to dominate efficiency effects. We find that cross‐border investments undertaken by emerging‐market MNEs in both developed and emerging markets tend to involve substantial efficiency effects and minimal market‐power effects when compared with the cross‐border investments undertaken by developed‐country MNEs in both developed and emerging markets.     

Competition Among Health Plans: A Two‐Sided Market Approach

We set up a two‐sided market framework to model competition between a Prefered Provider Organization (PPO) and a Health Maintenance Organization (HMO). Both health plans compete to attract policyholders on one side and providers on the other. The PPO, which is characterized by a higher diversity of providers, attracts riskier policyholders. Our two‐sided framework allows us to examine the consequences of this risk segmentation on the providers' side, especially in terms of remuneration. The outcome of the competition depends mainly on two effects: a demand effect, influenced by the value put by policyholders on the providers access and an adverse selection effect, captured by the characteristics of the health risk distribution. If the adverse selection effect is too strong, the HMO receives a higher profit in equilibrium. On the contrary, if the demand effect dominates, the PPO profit is higher in spite of the unfavorable risk segmentation. We believe that by highlighting the two‐sided market structure of the health plans' competition, our model provides a new insight to understand the increase in the PPOs' market share as observed in the USA during the last decade.     

Semiparametric hedonic price models: assessing the effects of agricultural nonpoint source pollution

In the area of environmental analysis using hedonic price models, we investigate the performance of various nonparametric and semiparametric specifications. The proposed model specifications are made up of two parts: a linear component for house characteristics and a non‐(semi)parametric component representing the nonlinear influence of environmental indicators on house prices. We adopt a general‐to‐specific search procedure, based on recent specification tests comparing the proposed specifications with a fully nonparametric benchmark model, to select the best model specification. An application of these semiparametric models to rural districts indicates that pollution resulting from intensive livestock farming has a significant nonlinear impact on house prices. Copyright © 2008 John Wiley & Sons, Ltd.     

OWNERSHIP CONCENTRATION AND FIRM PERFORMANCE IN EMERGING MARKETS: A META‐ANALYSIS

The literature concerned with relations between ownership concentration and corporate performance in emerging markets presents conflicting theoretical predications and inconclusive empirical results. We use meta‐analytical techniques to integrate the diverse empirical findings and investigate factors contribute to the inconsistencies in the empirical evidence. Using 419 correlations collected from 42 primary studies of listed corporations in 18 emerging markets, heterogeneity tests show that only a small proportion of the variation in reported ownership concentration–performance relations can be attributed to sampling error. Our meta‐regressions reveal how population differences, researchers’ modeling choices, and inadequate treatment of endogeneity explain a large portion of the true heterogeneity. After adjusting for these effects, we find ownership concentration has negative relation with firm performance across countries. Our results emphasize the importance of model specification and methods of addressing endogeneity, and support further comparative study of the ownership concentration–corporate performance relation between countries with seemingly similar corporate governance environments.     

Pricing‐to‐Market and Market Structure*

Stimulated by imperfect competition/sticky prices framework of the new open economy macroeconomics, empirical research has reconsidered the role of exchange rates in international adjustment. This paper reassesses the link between exchange rates and traded good prices by estimating pricing‐to‐market equations for the five main euro area countries over the period 1990–99. We minimize selection biases by keeping all manufacturing products and all destination markets and show that exchange rate pass‐through (ERPT) is much larger, almost complete, than previously estimated. Thanks to a huge variability in terms of exchange rate variations, products and destination markets, we can map differences in ERPT into market structures and, at the same time, reconcile our results with the empirical literature. We find that ERPT is highly incomplete for sales by oligopolistic industries into advanced economies, indeed in the order of 50–60% as previously estimated. ERPT is instead almost complete in emerging and developing economies where therefore exchange rate movements can help adjust external imbalances. We also find that ERPT is largely asymmetric: it is almost complete after an appreciation of the exporter's currency, rather incomplete after a depreciation. This result is very robust across specifications.     

Semi‐parametric Regression under Model Uncertainty: Economic Applications

Economic theory does not always specify the functional relationship between dependent and explanatory variables, or even isolate a particular set of covariates. This means that model uncertainty is pervasive in empirical economics. In this paper, we indicate how Bayesian semi‐parametric regression methods in combination with stochastic search variable selection can be used to address two model uncertainties simultaneously: (i) the uncertainty with respect to the variables which should be included in the model and (ii) the uncertainty with respect to the functional form of their effects. The presented approach enables the simultaneous identification of robust linear and nonlinear effects. The additional insights gained are illustrated on applications in empirical economics, namely willingness to pay for housing, and cross‐country growth regression.     

STATE DEPENDENCE AND HETEROGENEITY IN HEALTH USING A BIAS‐CORRECTED FIXED‐EFFECTS ESTIMATOR

This paper estimates a dynamic ordered probit model of self‐assessed health with two fixed effects: one in the linear index equation and one in the cut‐points. This robustly controls for heterogeneity in unobserved health status and in reporting behavior, although we cannot separate both sources of heterogeneity. We find important state dependence effects, and small but significant effects of income and other socioeconomic variables. Having dynamics and flexibly accounting for unobserved heterogeneity matters for those estimates. We also contribute to the bias correction literature in nonlinear panel models by comparing and applying two of the existing proposals to our model. Copyright © 2012 John Wiley & Sons, Ltd.     

Bayesian Calibration of p‐Values from Fisher's Exact Test

p‐Values are commonly transformed to lower bounds on Bayes factors, so‐called minimum Bayes factors. For the linear model, a sample‐size adjusted minimum Bayes factor over the class of g‐priors on the regression coefficients has recently been proposed (Held & Ott, The American Statistician 70(4), 335–341, 2016). Here, we extend this methodology to a logistic regression to obtain a sample‐size adjusted minimum Bayes factor for 2 × 2 contingency tables. We then study the relationship between this minimum Bayes factor and two‐sided p‐values from Fisher's exact test, as well as less conservative alternatives, with a novel parametric regression approach. It turns out that for all p‐values considered, the maximal evidence against the point null hypothesis is inversely related to the sample size. The same qualitative relationship is observed for minimum Bayes factors over the more general class of symmetric prior distributions. For the p‐values from Fisher's exact test, the minimum Bayes factors do on average not tend to the large‐sample bound as the sample size becomes large, but for the less conservative alternatives, the large‐sample behaviour is as expected.     

The Construction of a Low‐Cost Airline Network – Facing Competition and Exploring New Markets

The paper investigates the construction of a low‐cost airline network by analyzing JetBlue Airways' entry decisions into non‐stop domestic US airport‐pair markets. Adopting duration models, we find that JetBlue consistently avoided concentrated airports and targeted concentrated routes; network economies also affected entry positively. For non‐stop entry into routes that have not been served directly before, our analysis reveals that the carrier focused on thicker routes and secondary airports. Non‐stop entry into existing non‐stop markets, however, shows that JetBlue concentrated on longer‐haul markets and avoided routes already operated by either other low‐cost carriers or network carriers under bankruptcy protection. Copyright © 2012 John Wiley & Sons, Ltd.     

Generalized P‐values and Bayesian evidence in the one‐sided testing problems under exponential distributions

The problem of comparing the frequentist evidence and the Bayesian evidence in the one‐sided testing problems has been widely treated and many researches revealed that these two methods can reach an agreement approximately. However, most of the previous work dealt mainly with situations without nuisance parameters. Since the presence of nuisance parameters is very common in practice, whether these two kinds of evidence still reach an agreement is a problem worthy of study. In this article, we establish in a systematic way under the exponential distributions the agreement of the Bayesian evidence and the generalized frequentist evidence (the generalized P‐value) for a variety of one‐sided testing problems where the nuisance parameters are involved.     

Modelling Regime‐Specific Stock Price Volatility*

Single‐state generalized autoregressive conditional heteroscedasticity (GARCH) models identify only one mechanism governing the response of volatility to market shocks, and the conditional higher moments are constant, unless modelled explicitly. So they neither capture state‐dependent behaviour of volatility nor explain why the equity index skew persists into long‐dated options. Markov switching (MS) GARCH models specify several volatility states with endogenous conditional skewness and kurtosis; of these the simplest to estimate is normal mixture (NM) GARCH, which has constant state probabilities. We introduce a state‐dependent leverage effect to NM‐GARCH and thereby explain the observed characteristics of equity index returns and implied volatility skews, without resorting to time‐varying volatility risk premia. An empirical study on European equity indices identifies two‐state asymmetric NM‐GARCH as the best fit of the 15 models considered. During stable markets volatility behaviour is broadly similar across all indices, but the crash probability and the behaviour of returns and volatility during a crash depends on the index. The volatility mean‐reversion and leverage effects during crash markets are quite different from those in the stable regime.     

A discrete‐choice model with social interactions: with an application to high school teen behavior

We develop an empirical discrete‐choice interaction model with a finite number of agents. We characterize its equilibrium properties—in particular the correspondence between interaction strength, number of agents, and the set of equilibria—and propose to estimate the model by means of simulation methods. In an empirical application, we analyze the individual behavior of high school teenagers in almost 500 school classes from 70 schools. In our baseline model endogenous social interaction effects are strong for behavior closely related to school (truancy), somewhat weaker for behavior partly related to school (smoking, cell phone ownership, and moped ownership) and absent for behavior far away from school (asking parents' permission for purchases). Intra‐gender interactions are generally much stronger than cross‐gender interactions. In a model with school‐specific fixed effects social interaction effects are insignificant, with the exception of intra‐gender interactions for truancy. Copyright © 2007 John Wiley & Sons, Ltd.     

Estimating Mann–Whitney‐type Causal Effects

Mann–Whitney‐type causal effects are generally applicable to outcome variables with a natural ordering, have been recommended for clinical trials because of their clinical relevance and interpretability and are particularly useful in analysing an ordinal composite outcome that combines an original primary outcome with death and possibly treatment discontinuation. In this article, we consider robust and efficient estimation of such causal effects in observational studies and clinical trials. For observational studies, we propose and compare several estimators: regression estimators based on an outcome regression (OR) model or a generalised probabilistic index (GPI) model, an inverse probability weighted estimator based on a propensity score model and two doubly robust (DR), locally efficient estimators. One of the DR estimators involves a propensity score model and an OR model, is consistent and asymptotically normal under the union of the two models and attains the semiparametric information bound when both models are correct. The other DR estimator has the same properties with the OR model replaced by a GPI model. For clinical trials, we extend an existing augmented estimator based on a GPI model and propose a new one based on an OR model. The methods are evaluated and compared in simulation experiments and applied to a clinical trial in cardiology and an observational study in obstetrics.     

A cross‐cultural examination of the relationships among human resource management practices and organisational commitment: an institutional collectivism perspective

Previous research has shown that human resource management (HRM) practices vary across cultures. However, little research has empirically compared the effects of various HRM practices on firm‐level or individual‐level outcome variables across cultures. Drawing upon psychological contract theory and the literature on cultural values, the present study examined the effects of three organisational‐level HRM practices on individual organisational commitment in a survey of 2424 individuals in 120 organisations located in four countries and three industries. Based upon the GLOBE study, we classified the four countries into two groups – high versus low institutional collectivism. The results of our hierarchical linear modelling (HLM) analyses found significant differences in the effects of organisational‐level HRM on individual organisational commitment across cultures for two of the three HRM practices included in our model: training and teamwork. We also found partial support for differences across cultures for the effects of the third HRM practice: employee involvement in decision making. Overall, our results support the utility of theoretical and empirical models that address multiple levels of analyses to better understand the mechanisms through which the HRM‐performance link takes place across national cultures.     

The Network‐Performance Relationship in Knowledge‐Intensive Contexts—A Meta‐Analysis and Cross‐Level Comparison

This study examines the generalizability of the network‐performance relationship across individual and group levels, focusing on knowledge‐intensive contexts. Drawing on a meta‐analytical approach, we synthesize the results of 102 empirical studies to test whether network characteristics such as centrality, brokerage, and tie strength similarly influence the job performance of individuals and groups. Results show that while there are no differences in the direction of the network‐performance relationship across levels, there are substantial differences in magnitude. Individual performance profits more strongly from a high number of direct connections, whereas groups reap higher benefits from brokerage positions. Additional analyses reveal that the network measurement method, tie content, and performance criteria function as moderators of the network performance relationship, but their influence is consistent neither across network characteristics nor across levels. By meta‐analytically comparing and contrasting the network‐performance relationship for individuals and groups, we contribute to multilevel research on networks and organizations. Particularly, we move toward the development of a multilevel homology theory of networks. Implications for theory, practice, and future research are discussed. © 2017 Wiley Periodicals, Inc.     

Analysis of job‐training effects on Korean women

We analyse job‐training effects on Korean women for the period January 1999 to March 2000, using a large data set of size about 52,000. We employ a number of estimation techniques: Weibull MLE and accelerated failure time approach, which are both parametric; Cox partial likelihood estimator, which is semiparametric; and two pair‐matching estimators, which are in essence nonparametric. All of these methods gave the common conclusion that job training for Korean women increased their unemployment duration. The trainings were not cost‐effective in the sense that they took too much time ‘locking in’ the trainees during the training span, compared with the time they took to place the trainees afterwards. Despite this negative finding, some sub‐groups had positive effects: white‐collar workers trained for finance/insurance or information/communication. Copyright © 2005 John Wiley & Sons, Ltd.