Bivariate income distributions for assessing inequality and poverty under dependent samples

As indicators of social welfare, the incidence of inequality and poverty is of ongoing concern to policy makers and researchers alike. Of particular interest are the changes in inequality and poverty over time, which are typically assessed through the estimation of income distributions. From this, income inequality and poverty measures, along with their differences and standard errors, can be derived and compared. With panel data becoming more frequently used to make such comparisons, traditional methods which treat income distributions from different years independently and estimate them on a univariate basis, fail to capture the dependence inherent in a sample taken from a panel study. Consequently, parameter estimates are likely to be less efficient, and the standard errors for between-year differences in various inequality and poverty measures will be incorrect. This paper addresses the issue of sample dependence by suggesting a number of bivariate distributions, with Singh–Maddala or Dagum marginals, for a partially dependent sample of household income for two years. Specifically, the distributions considered are the bivariate Singh–Maddala distribution, proposed by Takahasi (1965), and bivariate distributions belonging to the copula class of multivariate distributions, which are an increasingly popular approach to modelling joint distributions. Each bivariate income distribution is estimated via full information maximum likelihood using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey for 2001 and 2005. Parameter estimates for each bivariate income distribution are used to obtain values for mean income and modal income, the Gini inequality coefficient and the headcount ratio poverty measure, along with their differences, enabling the assessment of changes in such measures over time. In addition, the standard errors of each summary measure and their differences, which are of particular interest in this analysis, are calculated using the delta method.     

Simple formulas for standard errors that cluster by both firm and time

When estimating finance panel regressions, it is common practice to adjust standard errors for correlation either across firms or across time. These procedures are valid only if the residuals are correlated either across time or across firms, but not across both. This paper shows that it is very easy to calculate standard errors that are robust to simultaneous correlation along two dimensions, such as firms and time. The covariance estimator is equal to the estimator that clusters by firm, plus the estimator that clusters by time, minus the usual heteroskedasticity-robust ordinary least squares (OLS) covariance matrix. Any statistical package with a clustering command can be used to easily calculate these standard errors.     

Regional capital mobility in China: Economic reform with limited financial integration

This paper assesses the changes in the regional capital mobility in China during the period of economic reform in 1978–2008 by employing a panel time varying coefficient (TVP) model. This approach is much more suitable to model China's evolution in the regional capital mobility than a standard structural break model as China's reforms took place gradually and were often implemented over several stages. Using the TVP model, we find that (1) China's provincial capital mobility demonstrated a moderate improvement over the sample period, but worsened temporarily between 1994 and 1997. This is probably due to the government's effort to combat inflation which reduced the investment and transfers to regions; (2) regions with the most developed and least developed provinces experienced higher degree of capital mobility improvement than those in the middle.     

Tourism and economic growth nexus revisited: A panel causality analysis for the case of the Mediterranean Region

Tourism is perceived as an important source of foreign exchange that is used for financing economic growth. This study offers a modern approach to tourism-led growth and investigates the causal relationship between tourism and economic growth in the European, Asian and African countries that border the Mediterranean Sea. The study uses panel data for the period 1998–2011, and adopts a panel Granger causality analysis developed by Dumitrescu and Hurlin (2012) to assess the contribution tourism makes to economic growth in each country. The results indicate that the direction of causality between tourism and economic growth depends on the country group and tourism indicator. Furthermore, the European countries are better able to generate growth from tourism in the Mediterranean region.     

Inventory investment and financial constraints in the Italian manufacturing industry: A panel data GMM approach

Three large unbalanced panels of Italian manufacturing firms observed over the period 1991–2009 are employed to assess, by means of a dynamic GMM approach, whether the existence of financial frictions is suitable to explain deviations of inventories from their long-run path. A negative response of inventory investment to the presence of financial burdens might provide evidence of a significant role played by the financial framework in conditioning the real side of the economy, especially during recession years, when liquidity problems arise. The negative effect is found over the entire analyzed period, with firms' dimensional aspects accounting more than risk characteristics to explain the phenomenon, but the inclusion of recessionary dummies into the model leads to controversial and puzzling results. A significant recessionary effect is found during the Nineties, accounting for inventories being more sensitive to financial frictions during the main recessionary peaks, 1993 and 1996. The result is not confirmed by the most recent estimates, especially the ones referring to the 2008–2009 recessionary shock, whose effects are investigated for the first time by a paper addressing the inventory investment–financial constraints subject. Alternative hypothesis for the proposed results have been tested on data. Firms were found to rely on inventory decumulation to a lesser extent compared to the past, to generate internal financing. More specifically, disinvestments in financial assets were found to represent, as a matter of fact, one of the main drivers adopted to ease liquidity tensions: a negative and strongly significant relationship with inventory investment was detected, after controlling for short-run liquidity constraints at firm level. By contrast, only a weak negative relationship was established with fixed capital during the same recessionary biennium.     

世界银行监察组的作用及其实践研究

随着世界银行的活动范围不断扩大,它通过贷款的形式参与成员国国内的社会经济建设,影响了成员国平民百姓的生活。如果平民百姓的生活受到不利影响,世界银行就得承担责任,监督世界银行承担责任的监察组就应运而生。世行是在我国许多地区有着重要贷款业务的国际金融组织。它的监察组的监督作用对我国利用世行的贷款有着直接而且重要的影响。     

Nonlinear models with panel data

Panel data play an important role in empirical economics. With panel data one can answer questions about microeconomic dynamic behavior that could not be answered with cross sectional data. Panel data techniques are also useful for analyzing cross sectional data with grouping. This paper discusses some issues related to specification and estimation of nonlinear models using panel data.JEL Classification: C230The research behind this paper was supported by the National Science Foundation, the Gregory C. Chow Econometric Research Program at Princeton University, and Danish National Research Foundation (through CAM at the University of Copenhagen). The author thanks Ekaterini Kyriazidou, Hong Li, Marina Sallustro, and the editors for helpful suggestions.     

Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain

This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table. We use a log-linear model to describe the relationship between factors in each state. The prior knowledge about the main effects and interactions will be described by a conjugate prior. Following the Bayesian paradigm, the Bayes and empirical Bayes estimators relative to various loss functions are obtained. These procedures are illustrated by a real example. Finally, asymptotic normality of the empirical Bayes estimators are established.     

Achieving High Quality, Comparable Financial Reporting: A Review of Independent Enforcement Bodies in Australia and the United Kingdom

This article provides a review of the activities of two quite different types of national enforcement body, the U.K.'s Financial Reporting Review Panel (FRRP) and the Australian Securities and Investments Commission (ASIC). We present material (some not available elsewhere) about their activities over the period 1998–2004 and show that both types of body can fulfil an enforcement role, albeit subject to political forces. We also assess the relevance of the bodies' past activities for comparable international enforcement following the adoption of International Financial Reporting Standards (IFRS) in 2005. A review of cases reveals that for both bodies approximately half were related to recognition and measurement issues, where interpretation can be crucial. Although there is potential for cross-country differences to arise, they may be mitigated by the participation of both bodies in international enforcement coordination activities. Past activities suggest that the scope of the bodies' activities and the extent of comparability of enforcement decisions are likely to reflect political views held within the government, corporate sector and accounting profession.