Technological Choice In Voluntary Standards Committees: An Empirical Analysis

Vendors frequently compete to have their technology adopted as part of a voluntary consensus standard. In this paper we report the results of an empirical study of the factors that influence the choice of technologies in voluntary technical standards committees.

Participation in standards committees is viewed as an aspect of the product development process of corporations involved in markets where network externalities are present. The factors hypothesized to affect the technology decision are: the market power of the coalition sponsoring the technology, the installed base of the products containing the technology, the size of the firms that make up the coalition, the promotional activities of the sponsors (such as technical contributions submitted), the perceived superiority of the technology, and the political skills of the coalition.

These hypotheses were tested by collecting data concerning specific technical decisions that were made in several standards committees in the area of computer communications hardware. Two sided t-tests were used to test the hypotheses, and logit regression was used to infer the importance of each factor in predicting adoption or non-adoption of the technology. A factor analysis was also performed to gain further insight into the data.

The results suggest that the size of the firms in the coalition supporting a technology and the extent to which they support their position through written contributions are significant determinants of technological choice in the standards decisions studied. The market share of the firms in the coalition was found to be significant only for the buyers of compatible products, i.e., the monopsony power was significant, not the monopoly power. In addition, the technologies whose sponsors weighted market factors more highly than technical factors were more likely to be adopted in the standards decision studied. The proponents of both the adopted and non-adopted technologies were found to have equal belief in the overall technical superiority of their technical alternative, even after the decision. The installed base of a technology and process skills were not found to be significant predictors of the committee outcome.     

Testing fractional integration with monthly data

Seasonal roots can help to explain the seasonal fluctuations in macroeconomic time series. In this paper we concentrate on monthly data and look at different versions of Robinson’s (1994) tests for testing unit roots and other fractionally integrated hypotheses when the root is located at zero and/or at the seasonal frequencies. A Monte Carlo experiment is carried out to check the power of these tests against different fractional alternatives, and an empirical application, using Spanish monthly data for the consumer price index, is also carried out in the article.     

Tests for cointegration with two unknown regime shifts with an application to financial market integration

It is widely agreed in empirical studies that allowing for potential structural change in economic processes is an important issue. In existing literature, tests for cointegration between time series data allow for one regime shift. This paper extends three residual-based test statistics for cointegration to the cases that take into account two possible regime shifts. The timing of each shift is unknown a priori and it is determined endogenously. The distributions of the tests are non-standard. We generate new critical values via simulation methods. The size and power properties of these test statistics are evaluated through Monte Carlo simulations, which show the tests have small size distortions and very good power properties. The test methods introduced in this paper are applied to determine whether the financial markets in the US and the UK are integrated.      

How has the financial crisis affected earnings management? A European study

The article aims to investigate whether and how in the European Union (EU), the burst of the 2008 financial crisis affected misrepresentation of financial information due to earnings management. By analysing a sample of 11 844 firm-year observations listed in the EU over the period 2006–2012, an event study methodology allows us to calculate and compare country-by-country abnormal accruals over the estimation period and over the event period. Our findings validate our research hypothesis and suggest a decrease of misrepresentation in the large majority of the European countries after the burst of the financial crisis. The results take part in the debate in the accounting literature about the change of earnings management over a financial crisis and have several implications for standard setters and regulators that could learn how the common incentives of entities to attract potential investors during a crisis could lead them to provide a high-quality financial reporting.     

Testing for panel unit roots in the presence of spatial dependency

In this article, the size and power properties of the Common-factor Im, Pesaran and Shin (CIPS), Wald (W), Likelihood Ratio (LR) and Lagrange Multiplier (LM) tests are investigated when the error term follows a spatial error model. In this study, the results from the Monte Carlo simulations, first, show that the CIPS test over-estimates the nominal size. Second, the simulation results show that the empirical size of the W test approaches the nominal size quickly, while the LR and LM tests underestimate the null hypothesis in both small and moderate sample sizes. Finally, the results also show that even though the LM and LR tests under-reject the true-null hypothesis they have higher power than the W test.     

基于蒙特卡洛模拟的商业银行排队问题研究

本文以排队论为理论基础,用蒙特卡洛模拟在Excel上对银行柜台多服务器单队列（M／M／C）的服务状况进行了动态模拟。得到不同顾客到达速率下,银行排队状况和银行为满足一定服务水平应该开设的服务器个数,并对目前日益严重的银行排队问题提出了建议。     

A Poisson ridge regression estimator

The standard statistical method for analyzing count data is the Poisson regression model, which is usually estimated using maximum likelihood (ML) method. The ML method is very sensitive to multicollinearity. Therefore, we present a new Poisson ridge regression estimator (PRR) as a remedy to the problem of instability of the traditional ML method. To investigate the performance of the PRR and the traditional ML approaches for estimating the parameters of the Poisson regression model, we calculate the mean squared error (MSE) using Monte Carlo simulations. The result from the simulation study shows that the PRR method outperforms the traditional ML estimator in all of the different situations evaluated in this paper.     

Knowledge flows and the geography of networks: A strategic model of small world formation

This paper aims to demonstrate that the strategic approach to link formation can generate networks that share some of the main structural properties of most real social networks. For this purpose, we introduce a spatialized variation of the Connections model [Jackson, M.O., Wolinsky, A., 1996. A strategic model of social and economic networks. Journal of Economic Theory 71, 44–74] to describe the strategic formation of links by agents who balance the benefits of forming links resulting from imperfect knowledge flows against their costs, which increase with geographic distance. We show, for intermediate levels of knowledge transferability, clustering occurs in geographical space and a few agents sustain distant connections. Such networks exhibit the small world property (high clustering and short average relational distances). When the costs of link formation are normally distributed across agents, asymmetric degree distributions are also obtained.     

On ridge estimators for the negative binomial regression model

The negative binomial (NB) regression model is very popular in applied research when analyzing count data. The commonly used maximum likelihood (ML) estimator is very sensitive to highly intercorrelated explanatory variables. Therefore, a NB ridge regression estimator (NBRR) is proposed as a robust option of estimating the parameters of the NB model in the presence of multicollinearity. To investigate the performance of the NBRR and the traditional ML approach the mean squared error (MSE) is calculated using Monte Carlo simulations. The simulated result indicated that some of the proposed NBRR methods should always be preferred to the ML method.     

Access to infrastructure and women’s time allocation: Implications for growth and gender equality

Improved access to infrastructure is commonly viewed as a critical step to increase women’s labor force participation and promote economic growth in developing countries. This positive relationship is first established in a basic gender-based, overlapping generations model with collective households and congestion costs. The model is then extended to account for endogenous gender bias in the market place and women’s bargaining power, as well as fertility choices and rearing time. Numerical experiments, based on a calibrated version of the extended model, show that increased access to infrastructure may induce women to devote more time to child rearing – in line with the model’s predictions and some of the empirical evidence – thereby mitigating the increase in time allocated to market work. As a result, it may weaken the benefits of increased female labor force participation in terms of reduced gender bias in the market place, improved women’s bargaining power in the family, and higher growth rates in the long run.     

基于二维跳扩散模型的股市相关性研究

本文分析了在扩散模型中引入跳部分描述资产价格异动的经济逻辑,并进一步细化跳产生的经济原因,引入具有相关性的多维泊松过程描述不同股票市场价格的异常波动次数,推广了现有的多维跳扩散模型。并应用推广后的模型,以中国A股市场和中国香港股票市场指数为样本,分析两个市场异动的相关性,同时结合新闻数据赋予统计结果以经济解释。     

An economic reappraisal of the Melamchi water supply project - Kathmandu,Nepal

This paper examines whether the benefits of the Melamchi water supply project in Nepal are likely to exceed its costs, assuming that high-quality municipal water services can be delivered to households and firms in the urbanized part of the Kathmandu Valley. Monte Carlo simulations are used to explore the sensitivity of the net present value and economic internal rate of return calculations to a wide range of assumptions and input parameters. We find that extreme assumptions are not required to generate large differences in economic feasibility; quite plausible differences in the values of some key parameters can lead to large differences in the economic attractiveness of the project. The results reveal that the three most important influences on net present value and economic internal rate of return are: (i) the discount rate and discounting procedure; (ii) the magnitude of monthly benefits for households connected to the new water system; and (iii) the annual growth rate in monthly benefits of connected households after the project comes on line. Our contribution lies in illustrating, with an actual case study in a developing country, the degree to which cost-benefit calculations of large infrastructure projects are influenced by key economic modeling assumptions and input parameters.JEL Classification: H42, H43, H54, Q25, Q56 Correspondence to: Dale WhittingtonWe would especially like to thank Keiichi Tamaki (ADB) and Ian Hill (Acres International) for their guidance and assistance with this project. We would also like to thank the following individuals for their help during our mission to Kathmandu in May, 2003: Richard W. A. Vokes, Kathie M. Julian, Raj Kumar Malla, Madan Shankar Shrestha, Suman Prasad Sharma and Noor Kumar Tamrakar.     

Evolutionary game dynamics and distributed recency-weighted learning

This paper presents a relationship between evolutionary game dynamics and distributed recency-weighted Monte Carlo learning. After reviewing some existing theories of replicator dynamics and agent-based Monte Carlo learning, we provide proofs of the formulation-level equivalence between these two models. The relationship will be revealed not only from a theoretical viewpoint, but also by computational simulations of the models. As a consequence, macro dynamic patterns generated by distributed micro-decisions can be explained by parameters defined at an individual level. In particular, given the equivalent formulations, we investigate how the rate of agents’ recency weighting in learning affects the emergent evolutionary game dynamic patterns. An increase in this rate negatively affects the inertia, making the evolutionary stability condition more strict, and positively affecting the evolutionary speed toward equilibrium.JEL Classification: C63, C73Supervisions and advice given by Arthur J. Caplan have greatly contributed to this paper. I am also grateful to the anonymous reviewers for their valuable comments redirecting my presentation to a more appropriate one.     

Bootstrapping Student Understanding of What is Going on in Econometrics

Econometrics is an intellectual game played by rules based on the sampling distribution concept. Most students in econometrics classes are uncomfortable because they do not know these rules and so do not understand what is going on in econometrics. This article contains some explanations for this phenomenon and suggestions for how this problem can be addressed. Instructors are encouraged to use explain-how-to-bootstrap exercises to promote student understanding of the rules of the game.     

Say’s Law,Marxian Crisis Theory and the Interconnectedness of the Capitalist Economy

ABSTRACT

Scholars have long debated exactly why Marx felt that general gluts were not just possible, but inevitable. This article argues that Theories of Surplus Value anchored that necessity in the complex interconnectedness that characterizes capitalist production. There, Marx’s criticism of Say’s Law builds on a version of crisis theory that begins with raw material shortages in a leading sector. The disturbance is then transmitted through the many inter-industry linkages in the capitalist economy. What starts as a supply-side shock in a leading sector is transformed into a broad crisis of aggregate demand as workers are laid off and businesses fall into insolvency. This article argues that Marx’s later discussion of other types of crises in Capital can be read as consistent with this approach. A severe profit squeeze in a leading sector (whether originating in intermediate good prices, market demand, rising wages or rising use of fixed capital) necessarily turns into a general glut. In this context, Say’s Law becomes an irrelevant theorem concerning an imaginary economy. What Marx sees as fundamentally new under capitalism is not the use of money and the separation of sale and purchase, but massive interconnectedness.     

Marx 200: The Abiding Relevance of the Labour Theory of Value

ABSTRACT

Marxist political economy is alive and well, and not just because of the habitual turn to Marx in response to any crisis of capitalism. Both through Capital and through the continuing evolution of Marxism, Marxist political economy offers valuable insights that can illuminate the modalities of social and economic reproduction and the relationships between (different aspects of) the economic and the non-economic. Marxism’s presence has been felt through its own internal debates and debates with other approaches to political economy, and even through its influence on those reacting against Marxism. The key to the continuing relevance and analytical strengths of Marxist political economy lies in its capacity to provide a framework of analysis for unifying disparate insights into and critiques of the contradictions of capitalism across the social sciences. The instrument for forging that unity is Marx’s theory of value, the potential of which is examined and illustrated with reference to the Sraffian critique and two key concepts in Marxian political economy: the value of labour power and financialisation. They are explored in the light of the processes of commodification, commodity form and commodity calculation.     

The influence of Taiwan’s stock market on Bitcoin’s price under Taiwan’s monetary policy threshold

ABSTRACT

This study uses a smooth transition autoregressive model with exogenous variables (STARX) to investigate whether there is a nonlinear relationship between Bitcoin and Taiwan’s stock market taking into account Taiwan’s monetary policy threshold during 2 February 2012 to 31 August 2019. The statistical results show there is a threshold effect and confirm a nonlinear relationship between Taiwan’s stock market and Bitcoin, with variations over time and across Bitcoin and Taiwan’s stock market. Specifically, we find that Bitcoin responds asymmetrically to Taiwan’s stock market according to the threshold value. Furthermore, the return on the closing price of TAIEX with a lag of two periods under Taiwan’s monetary policy threshold has a nonlinear impact on the return on the closing price of Bitcoin.