China and international market integration: Evidence from the law of one price in the Middle East and Africa

We model market integration in the Middle East and Africa by analyzing price dispersion and testing the law of one price (LOP) on highly-comparable actual local retail prices of 135 goods and services across 23 countries in the region over the period of 1990–2016. Second-generation panel estimators are applied to four price benchmarks: Regional average, South Africa, China, and US prices. Cross-regional price dispersion diminishes considerably over time up to 2008, particularly for non-tradeables around China price. The test of LOP indicates the percentage of convergent prices is highest in China price benchmark, followed by US, South Africa, and regional average benchmarks. Direct estimation of the convergence speed confirms this order. Overall, the results show evidence of increasing market integration in Middle East and Africa but it appears to be driven by global forces and, especially, the rise of China as a new economic power. The results show that some emerging market economies, such as China, can step up and promote integration while traditional economic powerhouses, such as the USA and UK, disengage from international economic relations.     

Changes in the Finnish Wage Structure: Will Demand and Supply Do?

This study addresses changes in the wage structure in Finland between 1977 and 1995, and provides a simple explanation based on the demand for and supply of skills. The single index model of Card and Lemieux (1996) is augmented by incorporating changes in the supply of skills. The augmented model adequately accounts for the changes in relative wages between groups of different education and experience, but does not capture the changes in the within-group distribution.
JEL classification : J 31     

长春市中心区人口疏散规模估算评析与调控策略工程

分析了长春市中心区人居环境现状特征,以此为基础,从三个不同的角度,估算了人口疏散的规模,探讨了人口疏散的时空阶段及相应的调控对策。     

Three Corrected Score Tests for Generalized Linear Models with Dispersion Covariates

We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) .     

Capitalized intangibles and financial analysts

We examine whether firms that capitalize a higher proportion of their underlying intangible assets have higher analyst following, lower dispersion of analysts’ earnings forecasts and more accurate earnings forecasts relative to firms that capitalize a lower proportion. Under Australian generally accepted accounting principles, capitalization of intangible assets has become increasingly ‘routine’ since the late 1980s. It is predicted that this experience leads Australian analysts to expect firms with relatively more certain intangible investments to signal this fact by capitalizing intangible assets. Our results are consistent with this. We find that capitalization of intangible assets is associated with higher analyst following and lower absolute earnings forecast error for firms with a stock of underlying intangible assets. Our tests suggest a weaker association between capitalization and lower earnings forecast dispersion. We conclude that there are benefits for analysts, for management to have the option to capitalize intangible assets. These findings suggest that IAS 38 Intangible Assets and AASB 138 Intangible Assets reduce the usefulness of financial statements.     

泡沫原油油气分离器的研制

国内油田油井计量普遍采用分离计量方法，用油气分离器把油井采出液分离成液体和气体，然后用仪表分别计量。塔河油田六号油区原油粘度高，密度大、超泡严重，自然消泡时间长，传统的油气分离器处理重质起泡稠油的效率低，分离后的液体含气量较高，造成仪表计量油井产量的误差增大。针对塔河六号油区稠油的特性，研制了泡沫原油油气分离器，介绍了泡沫原油油气分离器的结构，工作原理及现场测试情况，分析了分离器的分离效率对液体计量误差的影响。     

The empirical link between export dispersion and export performance: A contingency-based approach

Practitioners and scholars point out that firms are increasingly dispersing their capabilities across organizational functions. However, it is not clear whether all forms of dispersion, of any function, result in the same consequences. This study initiates investigation into the link between the cross-functional dispersion of influence on export marketing decisions (export dispersion) and export performance. Drawing on data from a sample of 225 UK exporters, the findings support the argument that active participation of non-export functions in export-marketing decisions affects export success. However, those performance consequences are dependent on internal and external contingencies. Export dispersion is beneficial for export performance when the export customer environment is more turbulent and, simultaneously, the export technological environment is more stable and the firm has lower levels of export information sharing. In all other scenarios examined in this study, greater levels of concentration of export decision-making (i.e. lower levels of export dispersion) appear to be more beneficial for export performance. Our findings imply that the management of the firm’s level of export dispersion is a complex task, whereby the degree of export dispersion pursued needs to match external environmental and internal firm factors.     

Endogenous ranking and equilibrium Lorenz curve across (ex-ante) identical countries: A generalization

This paper proposes a symmetry-breaking model of trade with a finite number of identical countries and a continuum of tradeable consumption goods, which differ in their dependence on nontradeable intermediate inputs, “producer services”. Productivity of each country is endogenous due to country-specific external economies of scale in its service sector. It is shown that, in any stable equilibrium, the countries sort themselves into specializing in different sets of tradeable goods and that a strict ranking of countries in per capita income, TFP, the service sector share, and the capital–labor ratio emerge endogenously. Furthermore, the distribution of country shares, the Lorenz curve, is unique and analytically solvable in the limit, as the number of countries grows unbounded. Using this limit as an approximation allows us to study what determines the shape of distribution, perform various comparative statics and to evaluate the welfare effects of trade. In doing so, this paper extends the analysis of Matsuyama (Econometrica, 81:5 (September 2013), 2009–2031) for more general and flexible forms of scale economies. It turns out that the technique introduced in Matsuyama (Econometrica, 81:5 (September 2013), 2009–2031) is useful for the equilibrium characterization in this general case as well. Although some results of comparative statics and on welfare inevitably need to be modified, they change in ways that illuminate the underlying mechanism of symmetry-breaking.     

Productivity Dispersion and Measurement Error

Several reasons have been put forward to explain the high dispersion of productivity across establishments: quality of management, different input usage and market distortions, to name but a few. Although it is acknowledged that a sizable portion of productivity dispersion may also be due to measurement error, little research has been devoted to identifying how much they contribute. We outline a novel procedure for identifying the role of measurement error in explaining the empirical dispersion of productivity across establishments. The starting point of our framework is the errors-in-variable model consisting of a measurement equation and a structural equation for latent productivity. We estimate the variance of the measurement error and subsequently estimate the variance of the latent productivity variable, which is not contaminated by measurement error. Using Norwegian data on the manufacture of food products, we find that about one percent of the measured dispersion stems from measurement error.