"小银行优势"假说在中国的实证检验

本文运用中国2005年度上市公司贷款数据，对“小银行优势”假说进行了实证检验，发现借款企业与小银行事先存在关系对其信贷可得性不产生显著影响，“小银行优势”假说未获实证支持。这一研究结论可能反映出当前我国中小股份制银行在市场定位、客户选择、经营战略等方面与国有大银行的趋同，导致其未能充分发挥自身的比较优势。     

Small open economies and external shocks: an application of Bayesian global vector autoregression model

Quality & Quantity - This study assesses the impact of external shocks on select small open economies (SOEs) using the Bayesian variant of the global vector autoregression model with time...     

An information theoretic argument for the validity of the exponential model

Based on the Cramér-Rao inequality (in the multiparameter case) the lower bound of Fisher information matrix is achieved if and only if the underlying distribution is ther-parameter exponential family. This family and the lower bound of Fisher information matrix are characterized when some constraints in the form of expected values of some statistics are available. If we combine the previous results we can find the class of parametric functions and the corresponding UMVU estimators via Cramér-Rao inequality.     

论ASP模式下的会计信息供给

ASP模式作为企业外包IT业务的租赁模式,改变了传统电算化会计信息处理、存储、传递的模式,不仅为会计集中核算和企业财务集中管理提供了技术支撑,还能够从技术层面防范企业会计信息失真,提高企业会计信息的真实性、完整性。本文认为,随着ASP的应用扩大,ASP将能够有效地整合企业会计、税务、审计、统计等信息,建立新的企业会计信息供给模式。     

Election outcomes and economic conditions: An application of a logit model

In this paper the author examines the impact of macroeconomic conditions on the probability of the incumbent party winning a gubernatorial election. Using a sample of 265 gubernatorial elections held during the 1970–1988 period, the findings of this study indicate that the incumbent party’s probability of victory is not significantly affected by either state or national macroeconomic conditions. The author also finds that neither the unemployment rate nor per capita income growth affect the incumbent party’s probability of winning an election.     

Using your regular contacts as collateral: The information value of call logs

This paper aims to uncover the deterrent effect of external social ties on online peer-to-peer lending by extracting valuable information from the phone usage data. Contrary to the studies viewing online internal friendships as the signal of credit quality, we find that the total number of outgoing calls made in the month before loan requests is positively associated with the probability of default, which suggests that more social interactions offline mediated by mobile phones are more likely to signal poor trustworthiness. Only the features pertaining to the calls made during the morning for a given day have the potential as an effective predictor for the borrower’s credible social collateral. However, the online peer-to-peer lending platform studied by us fails to perfectly judge borrowers by their external social ties since the total number of outgoing calls generally has a negative relationship with the interest rates charged for funded loans. Overall, our work advances the understanding of the economic value carried by call logs in the context of disintermediated financial markets with information asymmetry.     

An agent-based model of innovation diffusion: network structure and coexistence under different information regimes

The paper analyzes how the structure of social networks affects innovation diffusion and competition under different information regimes. Diffusion is modeled as the result of idiosyncratic adoption thresholds, local network effects and information diffusion (broadcasting and demonstration effect from previous adopters). A high social cohesion decreases the probability of one innovation cornering the market. Nonetheless, with imperfect information, in small-world networks the higher speed of diffusion produced by the low average distance increases this probability. A low social cohesion also increases the probability of falling into traps of under-adoption. However, such probability is significantly lower with imperfect information, because such regime is characterized by higher levels of market concentrations and this reduces the frictions due to the coexistence of non-compatible product innovations.     

中小型网络信息安全策略

随着信息社会的不断发展,信息安全与通讯流畅成为一对新的矛盾。文章针对中小型局域网中的数据传输要求,探讨了网络信息安全中存在的威胁,提出了相应的应对措施。     

A model of intraurban employment location: An application to Bogota, Colombia

A micro model is formulated to study the location behavior of manufacturing firms in urban areas. A bid-rent function is derived from the profit function and captures the firms' locational equilibrium situations. The theoretical model is extended to a multinomial logit specification and estimated using establishment survey results for Bogota, Colombia. The survey included information on (1) attributes of the establishment such as plant space, and (2) attributes of the plant site such as access to markets. The estimated model is capable of predicting the location choices of different types of firms.     

Fundraising efficiency in Buddhist temples in Thailand: An application of the stochastic frontier analysis model

Nonprofit religious organizations play an important role in enhancing social welfare in Buddhist countries. In Thailand, people are typically involved in Buddhist temples at many levels ranging from personal to communal to social. As a result, Buddhist temples in Thailand can conduct fund‐raising activities from donations or merit‐making activities from Thai Buddhists. This study examines the fundraising efficiency of Buddhist temples in Thailand by applying the stochastic frontier analysis model. Our results show that fundraising efficiency of Buddhist temples in Thailand is relatively low. In addition, the results show that government grants have a negative impact (the so‐called the crowding‐out effect) on fundraising efficiency. On the other hand, the use of information and communication technology improves fundraising efficiency of Buddhist temples in Thailand.     

An information diffusion model for momentum effect based on investor wealth

We propose a private information diffusion model to explain the momentum, which considers different amounts of investor wealth and uses the proportion of informed investors’ wealth to measure information diffusion speed. Different distributions of investor wealth can lead to different information diffusion processes, and the speed of information diffusion is positively correlated with the concentration of investor wealth. Our empirical results reveal the relationship between momentum return and information diffusion speed by the S&P 500 stocks in two periods of the upmarket. The results show that stocks with faster information diffusion speed gain higher time-series momentum returns, especially under short holding period strategies. These results provide new evidence for the correlation between information diffusion and the momentum effect.     

An inflated multivariate integer count hurdle model: an application to bid and ask quote dynamics

In this paper we develop a model for the conditional inflated multivariate density of integer count variables with domain ?ⁿ, n ∈ ?. Our modelling framework is based on a copula approach and can be used for a broad set of applications where the primary characteristics of the data are: (i) discrete domain; (ii) the tendency to cluster at certain outcome values; and (iii) contemporaneous dependence. These kinds of properties can be found for high‐ or ultra‐high‐frequency data describing the trading process on financial markets. We present a straightforward sampling method for such an inflated multivariate density through the application of an independence Metropolis–Hastings sampling algorithm. We demonstrate the power of our approach by modelling the conditional bivariate density of bid and ask quote changes in a high‐frequency setup. We show how to derive the implied conditional discrete density of the bid–ask spread, taking quote clusterings (at multiples of 5 ticks) into account. Copyright © 2009 John Wiley & Sons, Ltd.     

An industrial network flow information integration model for supply chain management and intelligent transportation

Industrial network flow involves three domains: infrastructure, individual subjects of movement, and planning and control of the movement. Examples include supply chain and intelligent transportation. These traditionally isolated domains can be digitally connected to enhance their performance. Digitization of the infrastructure provides real-time data to facilitate its operation, while digitally connecting the subjects to the infrastructure allows for tailored services and support to particular subjects. Connection of both to the enterprise information systems enables adaptive control for the application (e.g. logistics) at a global optimization level. Previous results in the field cover separate aspects of planning/routing, real-time monitoring, and trip support. Toward this end, a new highway-based subject-infrastructure-enterprise (SIE) information integration model using digital connection is proposed to the field of industrial network flow control for application to intelligent transportation and supply chain management. The SIE model supports industrial network flow control in a way comparable to an adaptive control panel administering an automated material handling system. In this metaphor, the global infrastructure becomes ‘controllable’ similar to factory conveyors and automated guided vehicles. This paper presents a conceptual design substantiated with information requirements analysis. An empirical experiment at locations in New York State shows the technical feasibility of the digital connection envisioned.     

Assessing inherent model bias: An application to native displacement in response to immigration

There is a long-standing debate among academics about the effect of immigration on native internal migration decisions. If immigrants displace natives this may indicate a direct cost of immigration in the form of decreased employment opportunity for native workers. Moreover, displacement would also imply that cross-region analyses of wage effects systematically underestimate the consequences of immigration. The widespread use of such area studies for the US and other countries makes it especially important to know whether a native internal response to immigration truly occurs. This paper introduces a microsimulation methodology to test for inherent bias in regression models that have been used in the literature. We show that some specifications have built biases into their models, thereby casting doubt on the validity of their results. We then provide a brief empirical analysis with a panel of observed US state-by-skill data. Together, our evidence argues against the existence of native displacement. This implies that cross-region analyses of immigration’s effect on wages are still informative.     

An application and test for a random coefficient model in Bangladesh agriculture

This paper deals with efficiency question by estimating four production functions for four different regions in connection with Bangladesh agriculture. Hildreth and Houck's (1968) random coefficient method was found more suitable than OLS after conducting an appropriate test for this. In contrast to earlier studies, 24 piece-wise regressions have been fitted for each index of efficiency considering all four regions and six different ranges of farm size instead of a single regression so that the relationship could be studied more closely. The study clearly indicates higher efficiency for smaller farms.     

The relationship between trade,FDI and economic growth in Tunisia: An application of the autoregressive distributed lag model

The relationship between foreign direct investment (FDI), trade openness and economic growth in host countries remains one of the most important issues in the economic literature and met with renewed interest in recent years mainly for countries suffering from unemployment problems and lack of technological progress. This paper examines this issue for Tunisia by applying the bounds testing (ARDL) approach to cointegration for the period from 1970 to 2008. The bounds tests suggest that the variables of interest are bound together in the long run when foreign direct investment is the dependent variable. The associated equilibrium correction is also significant, confirming the existence of a long-run relationship. The results also indicate that there is no significant Granger causality from FDI to economic growth, from economic growth to FDI, from trade to economic growth and from economic growth to trade in the short run. Even though there is a widespread belief that FDI can generate positive spillover externalities for the host country, our empirical results fail to confirm this belief for the case of Tunisia. They go against the generally accepted idea considering the positive impact of FDI on economic growth to be automatic. The results found for Tunisia can be generalized and compared to other developing countries which share a common experience in attracting FDI and trade liberalization.     

Estimation of a model containing unobservable variables using grouped observations: An application to the permanent income hypothesis

The method of estimating relationships in a model containing unobservable variables is combined with the technique of estimation from a sample of grouped observations to analyse the permanent income hypothesis. From a sample of group means the paper measures the relative importance of such factors as wealth, occupation, age and family-size as determinants of permanent income in the United Kingdom, and also considers the mechanism by which transitory receipts influence total consumption expenditure.     

The American for-profit university: a model for the information economy

Within the context of 'the engine of globalisation,' Sperling explores the rigidities and inefficiencies in 'traditional' American higher education institutions. He points to the ways in which the for-profit university can overcome these problems, while at the same time being a net contributor to the tax system. In particular, he suggests that it is the profit motive that makes the University of Phoenix responsive to its its customers, and technologically innovative.