Estimating the portion of technical analysts in a market

This article presents structural estimates of the portion of technical analysts in six markets. I find that the portion of technical analysts in the U.S. equity market has been decreasing since the 1970s. A simple asset pricing model predicts that both risk and return are increasing in the portion of technical analysts. This prediction is confirmed across stock market indexes for six countries.     

Estimating demand curve in the Korean VoIP telecommunications market

The VoIP (Voice over Internet Protocol) market in Korea is showing rapid growth since domestic carriers initiated the service in 2006. These carriers are now seeking new revenue sources from various convergence services and are increasing investment into VoIP. In particular, local exchange carriers (LECs), formerly reluctant to invest in technologies that would cannibalize their local telephone revenue, have started to invest in VoIP, in recognition of the current convergence of media and the telecommunications industry, as well as in the face of intensifying competition. In this study, we determined that VoIP call rates and landline telephony call rates were the most important factors affecting VoIP call demand, in addition to network externality. We also verified that landline telephony is no longer a supplement to VoIP, but rather, a substitute that has considerable influence on VoIP call demand. Empirical evidence is expected to be considered in policy decision making on current issues in the IT industry, such as access prices or competitiveness assessment. The current empirical analysis on the Korean VoIP industry and the adherence to lessons learned from policy enforcement should provide valuable information to countries seeking to develop their own VoIP industries, as well as to businesses developing new strategies based on the VoIP market.     

Estimating the market value of Steve Jobs using an event study

Using an event study approach, we seek to estimate the value investors placed on Steve Jobs by investigating the stock market reactions to his death. In the three-day window surrounding his death, the estimated cumulative abnormal returns are ?5.76%. Given the market capitalization of Apple at the time, it can be inferred that investors valued Steve Jobs at 20 billion dollars. While tragic, the news about Jobs’ death is greeted favourably by Apple’s competitors. The competitors appear to be convinced that, without Steve Jobs, they can compete with Apple better.     

Estimating market power using a composed error model

We present a maximum likelihood based composed error model to estimate market powers of firms. In our model, the stochastic part of the supply relation includes two random components: the conventional two‐sided error term and a random term, which is capturing firm‐specific conducts. Moreover, we provide a generalization of scaled Stevenson stochastic frontier model in the context of doubly truncated normal distributions. We estimate the market powers of Chicago based airlines as an empirical example that is showing the applicability of our estimation procedure.     

Product diffusion and pricing with market frictions

Summary. We study pricing and product diffusion in a dynamic general equilibrium framework with product market frictions. Ongoing R&D activity leads, with an endogenously determined probability, to continual improvements in product quality. We characterize the steady-state equilibrium with endogenous product diffusion in which a number of different goods co-exist on the quality ladder. We show that the severity of the economy's market frictions is a crucial determinant of the pricing structure, the product diffusion pattern, the level of R&D investment, the rate of endogenous growth, the length of Schumpeterian product cycles and the possibility of multiple growth paths. Eliminating market frictions leads to a degenerate product ladder of precisely one step, containing only the most recent product, as in the monopolistic competition literature. Received: August 16, 1999; revised version: March 6, 2001     

Estimating the market value of collegiate football players from professional factor shares

Although the level and growth of revenue in college football has drawn increasing public attention, reliable estimates of the value of college and associated rents remain elusive. Many players do not have easily observable performance statistics and there are significant complementarities. Using a simple estimation strategy based on professional factor shares and rooted in economic theory, we generate estimates of market value for college players across seven National Collegiate Athletic Association conferences using professional football and basketball salaries from 2011 to 2013 as shadow prices. With this method, market value of an average starting football player in a Bowl Championship Series (BCS) conference ranges from $120,000 to $1.7 million per year. The value of superstar players may exceed $4 million per year. We find that rents can flow from the institutions to players in some cases at relatively low-revenue institutions outside the BCS.     

Investigation of the effect of secondary market on the diffusion of innovation

In the high-tech product market, the number of hungry adopters, a new type of early adopters who buy new products and sell them soon in the on- or off-line secondary market to seek for the other new products, has been increasing due to the short product life cycle of high-tech products and the low transaction cost on the Internet. This new phenomenon means that it is inappropriate to consider customers only in the primary market as total adopters in innovation diffusion modeling, since purchasers in the secondary market also have a word-of-mouth effect on the remaining non-adopters. To explain this new phenomenon, we modify the basic Bass diffusion model by incorporating the effect of the secondary market and conduct an empirical analysis. As a result, we conclude that the basic Bass model is likely to overestimate sales volume and tends to forecast lagged peak time when there is an effect from the secondary market. This means that applying a diffusion model to high-tech products without considering the secondary market effect would provide an inaccurate market forecast.     

Inter-firm knowledge diffusion, market power, and welfare

We propose an infinite-horizon quantity-setting differential game with learning spillovers and organizational forgetting to analyze the optimal management decisions affecting the evolution of the stock of know-how, and, in turn, the dynamics of productive efficiency. Specifically, we study the long run impact of inter-firm knowledge diffusion on market power, i.e. the ability of a firm to raise the price above the marginal cost, and welfare. We consider two types of processes through which knowledge is acquired: (i) passive learning, or learning-by-doing, where managers do not actively invest in information and (ii) active learning, or learning-by-investing, where managers acquire new and additional information through specific investments in human capital. We show that: under (i), knowledge diffusion reduces market power; under (ii), knowledge diffusion reduces market power as long as learning spillovers are sufficiently important. From a welfare viewpoint, we also show that: under (i), knowledge diffusion is always welfare-enhancing; under (ii), weak spillovers are required in order for knowledge diffusion to be welfare-enhancing.     

Estimating labour market transitions and continuations using repeated cross sectional data

This paper proposes a population cohort approach for estimating labour market continuations (or transitions) using repeated cross sectional data. This approach allows for the construction of consistent standard errors that account for the full variability of cross sectional data.     

Demographic processes in a model of innovation diffusion with dynamic market

In this paper we study a binomial innovation diffusion model for a variable size market by modelling the demographic process of entrance-exit from each market compartment. We examine from a theoretical point of view the effect of the simultaneous presence of economic and demographic parameters under the exponential market growth hypothesis, by presenting some general results on the adoptions and sales time path. We also enlighten the relevance of considering these variables in relative terms and show how, in presence of a dynamic, the diffusion process never saturates the market. Finally, we test our model on a data set for cellular phones market in different countries.     

Estimating the relationship between labour market tightness,unemployment insurance benefits and union election activity

Using detailed data from the US National Labor Relations Board, we find labour market tightness, defined as the ratio of job vacancies to the number of unemployed, has a positive relationship with the likelihood of voting in favour of union representation. Specifically, a 1 SD increase in labour market tightness increases Vote Share in favour and the likelihood of union certification by roughly 1.5% and 3%, respectively. We also find that length of unemployment insurance benefits has a positive relationship with Vote Share in favour. Taken together, these results suggest that workers are more comfortable engaging in pro-union election behaviours when exogenous conditions, like labour market tightness and unemployment insurance benefit duration, shift in a way that more favourably insulates them from unemployment and income risk.     

Estimating bilateral exposures in the German interbank market: Is there a danger of contagion?

Credit risk associated with interbank lending may lead to domino effects, where the failure of one bank results in the failure of other banks not directly affected by the initial shock. Recent work in economic theory shows that this risk of contagion depends on the precise pattern of interbank linkages. We use balance sheet information to estimate a matrix of bilateral credit relationships for the German banking system and test whether the breakdown of a single bank can lead to contagion. We find that in the absence of a safety net, there is considerable scope for contagion that could affect a large proportion of the banking system. The financial safety net (in this case institutional guarantees for saving banks and cooperative banks) considerably reduces—but does not eliminate—the danger of contagion. Even so, the failure of a single bank could lead to the breakdown of up to 15% of the banking system in terms of assets.     

Drivers of diffusion of consumer products: empirical evidence from the digital audio player market

We empirically study the factors affecting the timing of adoption of a consumer technology. We account for four possible effects (epidemic, probit, stock, and order effect) in relation to the diffusion of portable digital audio players (DAPs) using an original dataset of several hundred potential adopters from eight European countries and Japan. Our findings suggest that each one of these effects, which are often incorporated into competing models of diffusion, contribute to explain the diffusion of DAPs. Thus while researches informed by a specific approach to the study of innovation diffusion could lead to important results, they also run the risk of accounting for only a part of the phenomenon. This consideration highlights the quest for a more comprehensive approach to diffusion studies.     

Performance comparison of two diffusion models in a saturated mobile phone market

This research examines a performance comparison of the Lotka–Volterra (LV) and extended Bass models in the saturated mobile phone market of the Republic of Korea. A three species LV model is developed and applied to Korean mobile phone service providers in terms of competitive impact. Fitting the historical data of the Korean mobile communication service market, the results show that the goodness of fit of the three species LV model in the case of competition among three companies is better than that of the extended Bass model. The advantages and disadvantages of the two models are discussed based on the results of empirical tests.     

Estimating monetary policy reaction functions for emerging market economies: The case of Brazil

The paper investigates monetary policy in Brazil following a shift to a floating exchange rate alongside inflation targeting adoption. The benchmark reaction function reveals that the Central Bank behaves according to the Taylor principle by raising the overnight Selic policy interest rate more than the amount by which expected inflation exceeds the target. The investigation also considers a data-rich environment via an excess policy response containing information from a panel of 45 economic time series. The excess policy response carries a positive and significant coefficient in the reaction function including only an inflation gap variable.     

Labor market integration policies and the convergence of regions: the role of skills and technology diffusion

We study the role of different labor market integration policies on economic performance and convergence of two distinct regions in an agent-based model. Production is characterized by a complementarity between the quality of the capital stock and the specific skills of workers using the capital stock. Hence, productivity changes in a region are influenced both by the investment of local firms in high quality capital goods and by the evolution of the specific skill distribution of workers employed in the region. We show that various labor market integration policies yield, via differing regional worker flows, to distinct regional distributions of specific skills. Through this mechanism, relative regional prices are affected, determining the shares that the regions can capture from overall consumption good demand. There occurs a trade-off between aggregate output and convergence of regions with closed labor markets resulting in relatively high convergence but low output, and more integrated labor markets yielding higher output but lower convergence. Furthermore, results differ substantially in several respects as distinct labor market opening policies are applied.     

Estimating IPO pricing efficiency by Bayesian stochastic frontier analysis: The ChiNext market case

Based on the Bayesian stochastic frontier analysis (BSFA), this paper empirically studies the pricing efficiency of initial public offering in the ChiNext market from October 2009 to January 2014. The average pricing efficiency calculated by the BSFA model is 0.5908, suggesting that most of the information about the issuers is not reflected in the offering price. Meanwhile, Fundamentals of issuers, Information asymmetry, Issue characteristics, and Market environments have different effects on IPO pricing.     

Estimating exchange rate dynamics with diffusion processes: an application to Greek EMU data

Recently various exchange rate models capturing the dynamics during the transition from an exchange rate arrangement of floating rates into a currency union have been derived. Technically, these stochastic equilibrium models are diffusion processes which have to be estimated by discretely sampled observations. Using daily exchange rate data prior to the Greek EMU-entrance on 1 January 2001, we develop a rigorous estimation procedure. Our estimates point to an increasing interventionist economic policy in the run-up to the Greek EMU entrance. A comparison of this econometric indication with policy information provided (ex-post) by the Bank of Greece (BoG) in its Annual Report 2000 reveals that the BoG indeed pursued such an active policy stance (so-called institutional frontloading strategies).      

Modelling a dynamic market potential: A class of automata networks for diffusion of innovations

Innovation diffusion processes are generally described at aggregate level with models like the Bass Model (BM) and the Generalized Bass Model (GBM). However, the recognized importance of communication channels between agents has recently suggested the use of agent-based models, like Cellular Automata. We argue that an adoption or purchase process is nested in a communication network that evolves dynamically and indirectly generates a latent non-constant market potential affecting the adoption phase.Using Cellular Automata we propose a two-stage model of an innovation diffusion process. First we describe a communication network, an Automata Network, necessary for the “awareness” of an innovation. Then, we model a nested process depicting the proper purchase dynamics. Through a mean field approximation we propose a continuous representation of the discrete time equations derived by our nested two-stage model. This constitutes a special non-autonomous Riccati equation, not yet described in well-known international catalogues. The main results refer to the closed form solution that includes a general dynamic market potential and to the corresponding statistical analysis for identification and inference. We discuss an application to the diffusion of a new pharmaceutical drug.     

城乡市场的分割和统一

建设新农村需要内生的持久的机制。城乡市场分割是我国新农村目标得以实现的根本性障碍，农民无法平等参与市场活动导致城乡收入差距不断扩大。因此，新农村建设的内生机制最为根本的是市场制度创新。创新的市场制度的基本功能能够有效地克服要素流动的障碍，并能在等价交换的基础上保障农民收益。