Hölderian properties of partial sums of regression residuals

In this paper we investigate Hölder convergence of polygonal line process based on residuals of linear regression model. Bootstrap counterpart is also studied. Our results provide additional tools for testing epidemic type structural changes in regression models.     

Regression Models with Variables of Different Frequencies: The Case of a Fixed Frequency Ratio*

An increasing variety of data frequencies available in economics, finance, etc. gives rise to a question how to build and estimate a regression model with variables observed at different frequencies. In a unifying framework of (m,d)‐aggregation we consider various approaches by discussing some potential and limitations. A Monte Carlo experiment and an empirical example illustrate that the traditional fixed aggregation approach, widely used in applied economics, might be inconsistent with data and highly inferior in terms of model precision.     

Perspective on Local Governance Reform in China

I. Introduction The difficulty of improving local governance in contemporary China has recently aroused a great deal of attention from both academics and policy-makers. Among the many issues needing to be addressed, inefficiency in the work of local administrative agencies andshortcomings in the delivery of public services rank as the most significant. Many Chinese farmers, especially those in less developed regions, have been plagued by excessive tax burdens, insecure land property rights an…     

Implied stopping rules for American basket options from Markovian projection

This work addresses the problem of pricing American basket options in a multivariate setting, which includes among others, the Bachelier and Black–Scholes models. In high dimensions, nonlinear PDE methods for solving the problem become prohibitively costly due to the curse of dimensionality. Instead, this work proposes to use a stopping rule that depends on the dynamics of a low-dimensional Markovian projection of the given basket of assets. From a numerical analysis point of view, we split the given non-smooth high-dimensional problem into two subproblems, namely one dealing with a smooth high-dimensionality integration in the parameter space and the other dealing with a low-dimensional, non-smooth optimal stopping problem in the projected state space. Assuming that we know the density of the forward process and using the Laplace approximation, we first efficiently evaluate the diffusion coefficient corresponding to the low-dimensional Markovian projection of the basket. Then, we approximate the optimal early exercise boundary of the option by solving an HJB PDE in the projected, low-dimensional space. The resulting near-optimal early exercise boundary is used to produce an exercise strategy for the high-dimensional option, thereby providing a lower bound for the price of the American basket option. A corresponding upper bound is also provided. These bounds allow one to assess the accuracy of the proposed pricing method. Indeed, our approximate early exercise strategy provides a straightforward lower bound for the American basket option price. Following a duality argument due to Rogers, we derive a corresponding upper bound solving only the low-dimensional optimal control problem. Numerically, we show the feasibility of the method using baskets with dimensions up to 50. In these examples, the resulting option price relative errors are only of the order of few percent.     

Labour segregation and immigrant and native-born wage distributions in Spain: an analysis using matched employer–employee data

This article carries out an empirical examination of the origin of the differences between immigrant and native-born wage structures in the Spanish labour market. Special attention is given in the analysis to the role played by occupational and workplace segregation of immigrants. Legal immigrants from developing countries exhibit lower mean wages and a more compressed wage structure than native-born workers. By contrast, immigrants from developed countries display higher mean wages and a more dispersed wage structure. The main empirical finding is that the disparities in the wage distributions for the native-born and both groups of immigrants are largely explained by their different observed characteristics, with a particularly important influence in this context of workplace and, specially, occupational segregation. Hipólito Simón, Esteban Sanromá and Raúl Ramos wish to thank the support received from the Ministerio de Fomento and the Ministerio de Educación y Ciencia through the projects T 75/2006 (Plan Nacional de Investigación, Desarrollo e Innovación Científica), SEJ2004-05860/ECON and SEJ2005-04348/ECON, respectively. A previous version of this paper was published as an IVIE Working Paper (WP-EC 2007-03).     

Blockholders’ Ownership and Audit Fees: The Impact of the Corporate Governance Model

This paper examines how two prominent corporate governance models, namely the shareholder and stakeholder models, have different effects on the relation between agency conflicts and the supply, and demand of audit services. Shareholder (stakeholder) countries rely heavily on public (private) information to reduce information asymmetry for outside investors in the context of high (low) litigation risk. We expect audit fees to reflect the level of agency conflicts in shareholder countries as well as the needs for information of the major blockholders in stakeholder countries. Using a sample of 7982 firm-year observations from 19 countries, we find a U-shaped relation between controlling shareholding and audit fees for shareholder countries and an inverted U-shaped relation between controlling shareholding and audit fees for stakeholder countries. These results are consistent across different firm-level governance arrangements.     

Durbin’s random substitution and conditional Monte Carlo

Durbin (Biometrika 48:41–55, 1961) proposed a method called random substitution, by which a composite problem of goodness-of-fit can be reduced to a simple one. In this paper we provide a method of finding the p-value of any test statistic, for a composite goodness-of-fit problem, based on the simulation of a large number of conditional samples, using an analog of Durbin’s proposal in a reverse-type application. We analyze a Bayesian chi-square test proposed in Johnson (Ann Stat 32:2361–2384, 2004) which relies on a single randomization and relate it with Durbin’s original method. We also review a related proposal for conditional Monte-Carlo simulation in Lindqvist and Taraldsen (Biometrika 92:451–464, 2005) and compare it with our procedure. We show our method in a non-group example introduced in Lindqvist and Taraldsen (Biometrika 90:489–490, 2003).     

The Reverse Logistic Process of an Automobile Supply Chain Network Supported by a Collaborative Decision-Making Model

Decision system technologies have long since been a strong support to model and solve planning complexities in the supply chain in a collaborative context. Moreover, one of the main topics to emerge is reverse logistics, which is becoming more relevant in supply chains in terms of the logistics process of removing new or used products from their initial point. Therefore, to present the main aspects that should be considered to share the decision information, which is already used among the members of the supply chain, a study of reverse logistics has been carried out to discover how decision-making activities support the process in supply chains. Furthermore, a simulation experiment has been performed with both the DGRAI 3.0 tool and Rockwell Arena 11^® to observe the quality evolution of decision making and the economical impact that the proposed collaborative model will have on the current system. Moreover, this research work shows that a clear impact will appear on the decisional quality at the bottom levels of the supply chain than on the decisional quality of the whole system. The main work hypothesis is that the logistic process costs must lower given the implementation of the proposed collaborative model.     

Financial Market Volatility and International Reserve Holding Behaviour: A Case Study for Korea,Indonesia, the Philippines,and Thailand

Abstract

The effects of financial market volatility on the international reserve holding behaviour of four Asian countries that experienced the financial crisis in 1997—Korea, Indonesia, the Philippines, and Thailand are investigated. The financial market volatility is modelled and the effect on reserve dynamics, reserve accumulation, and reserve volatility is estimated. Estimations are taken for two periods—pre- and post-crisis—and the structural break test is performed to examine the change in the effects on reserve holding behaviour. The empirical results, in general, support the evidence for the structural change in the effects on reserve holding behaviour after the crisis. This would be one of the evidences of the precautionary motive for reserve holdings after the crisis.     

Modeling the Dollarization: A Case Study for Cambodia,Laos, and Vietnam

Abstract

We model the dollarization of three transitional economies in south-east Asia: Cambodia, Laos, and Vietnam which have been experiencing the transition and reform process of the economy for the time period 1992–2007. Based on Rojas-Suarez (IMF Working Paper WP/92/33, 1992) work, we examine whether the holdings of US dollars depend on the effect of the expected rate of depreciation in market exchange rates as expected by the model. Also, we examine whether the effects are proportional to the degree of the dollarization of the economy. The empirical results present that there are positive effects (expected) of the expected rate of depreciation in market exchange rates on the holdings of US dollars. The coefficients are statistically significant only for Cambodia and Laos, not for Vietnam. The effect is strongest for Cambodia, and this may reflect the fact that Cambodia's dollarization is stronger than those of Laos and Vietnam.