Socio-demographics,political attitudes and informal sector employment: A cross-country analysis

In this paper, we empirically investigate the relationship between informal sector employment and micro-level socio-demographic characteristics, political acts and attitudes, and individual norms. Using self-reported individual micro-level data from the World Values Survey for seven developing countries (China, Ecuador, Egypt, Mexico, Peru, South Africa and Yemen), our cross-country regressions and principal component analysis reveal that socio-demographic characteristics of individuals are strong predictors of their informal sector employment. Our estimations further document that individual preferences for an economically strong, interventionist and egalitarian state and confidence in state and political institutions are positively and significantly correlated with informal sector employment, whereas variables associated with confidence in free market institutions and support for competition are negatively and significantly correlated with informal sector employment. We also show that individuals who participate either actively or inactively in peaceful and lawful political processes are significantly less likely to work in the informal sector. Finally, we document that individual norms, such as religiosity and tax morale, are negatively correlated with informal sector employment. Throughout our analysis, instead of having to rely on ad-hoc informality categorizations of third parties, we base our measurement of informal sector employment directly on the self-evaluation of individuals, who have the best information on the degree of their informality.     

“问题富豪”如何凸现中国银行业信贷管理缺陷？

福布斯在中国内地的出名，更多是因其著名的“富豪榜”，但最近的内地富豪中有几位却遇到了不小的“麻烦”。今年在上海举办的《福布斯》论坛中诸多议题之一的中国银行业也备受关注，而这几位遇到不小“麻烦”的富豪给中国的银行业起到了什么警惕作用呢？“问题富豪”反映出中国银行业信贷管理缺陷有哪些？就此，国务院发展研究中心经济研究副所长巴曙松博士特撰此稿。     

The Dynamics of Productivity: A Decompostion Approach Using Distribution Functions

In this paper we use a micro panel data set of Spanish manufacturing firms to measure the contributions of continuing firms and turnover to total factor productivity growth over the period 1990–1997. The paper proposes an approach to the decomposition of productivity growth that is based on the estimation of productivity distributions. We characterize the dynamics of productivity distributions defining counterfactual distributions and using non-parametric methods. The results we obtain indicate that incumbent firms are the main factor contributing to the change in the productivity distribution. Net entry contributes positively to TFP growth. Finally, changes in the relative weights of incumbent, entering and exiting firms produce a counter-cyclical movement of productivity.     

Trade Union Derecognition in Britain, 1988–1994

Since the initial studies of derecognition, many articles have focused on the issue, by and large pointing to a slow increase in derecognition. However, a small number have indicated it is actually much larger. This paper shows that derecognition is even greater than these suggest and that its nature has changed. The paper looks at the contexts of this rise but argues that derecognition should not yet be seen as a major problem facing the unions.     

基于战略意图的战略联盟绩效评价指标体系研究

目前理论界对于企业战略联盟绩效评价的研究,大多数都是使用单纯的财务绩效指标对联盟的绩效进行评价。本文提出,联盟的绩效评价首先应当从组成联盟的企业的各自角度出发。其次由于不同的战略联盟的战略意图相差迥异,应当从战略联盟建立的战略意图出发,来设计评价战略联盟绩效的指标体系。首先对战略联盟各种战略意图作了一个系统的分析,然后提出一套基于战略意图的联盟绩效的评价指标体系,并给出了一种定量评价方法。     

POSTERIOR‐PREDICTIVE EVIDENCE ON US INFLATION USING EXTENDED NEW KEYNESIAN PHILLIPS CURVE MODELS WITH NON‐FILTERED DATA

Changing time series properties of US inflation and economic activity, measured as marginal costs, are modeled within a set of extended New Keynesian Phillips curve (NKPC) models. It is shown that mechanical removal or modeling of simple low‐frequency movements in the data may yield poor predictive results which depend on the model specification used. Basic NKPC models are extended to include structural time series models that describe typical time‐varying patterns in levels and volatilities. Forward‐ and backward‐looking expectation components for inflation are incorporated and their relative importance is evaluated. Survey data on expected inflation are introduced to strengthen the information in the likelihood. Use is made of simulation‐based Bayesian techniques for the empirical analysis. No credible evidence is found on endogeneity and long‐run stability between inflation and marginal costs. Backward‐looking inflation appears stronger than forward‐looking inflation. Levels and volatilities of inflation are estimated more precisely using rich NKPC models. The extended NKPC structures compare favorably with existing basic Bayesian vector autoregressive and stochastic volatility models in terms of fit and prediction. Tails of the complete predictive distributions indicate an increase in the probability of deflation in recent years. Copyright © 2014 John Wiley & Sons, Ltd.     

Data-driven tree structure for PIN models

Probability of informed trading (PIN) models characterize trading with certain types of information through a tree structure. Different tree structures with different numbers of groups for market participants have been proposed, with no clear, consistent tree used in the literature. One of the main causes of this inconsistency is that these trees are artificially proposed through a bottom-up approach rather than implied by actual market data. Therefore, in this paper, we propose a method that infers a tree structure directly from empirical data. More precisely, we use hierarchical clustering to construct a tree for each individual firm and then infer an aggregate tree through a voting mechanism. We test this method on US data from January 2002 for 7608 companies, which results in a tree with two layers and four groups. The characteristics of the resulting aggregate tree are between those of several proposed tree structures in the literature, demonstrating that these proposed trees all reflect only part of the market, and one should consider the proposed empirically driven method when seeking a tree representing the whole market.

     

Formal and real ownership structure of the Polish economy: state-owned versus state-controlled enterprises

This article analyses the difference between the state’s formal and real shares in the Polish economy. We identify two basic types of corporate control exercised by the state over enterprises through ownership (in the case of majority ownership) and non-ownership tools (in the case of minority ownership). Consequently, we distinguish between two types of state enterprises: state-owned enterprises (SOEs) and state-controlled enterprises (SCEs). In post-communist economies, SCEs mainly originate from so-called reluctant privatisation, in which the transfer of ownership rights takes place without the appropriate transfer of control rights. We discuss the tools of non-ownership control used by the state. Our estimates of the real share of state enterprises in the Polish economy (which include both SOEs and SCEs) show that it is almost two times higher than the formal share (only SOEs). The share of state enterprises is also highest in the group of Poland’s largest and most important firms. We conclude that the real importance of state enterprises in the Polish economy is much higher than might be expected if only the formal share of state ownership is taken into account.     

TAXATION IN MATCHING MARKETS

We analyze the effects of taxation in two-sided matching markets where agents have heterogeneous preferences over potential partners. Our model provides a continuous link between models of matching with and without transfers. Taxes generate inefficiency on the allocative margin, by changing who matches with whom. This allocative inefficiency can be nonmonotonic, but is weakly increasing in the tax rate under linear taxation if each worker has negative nonpecuniary utility of working. We adapt existing econometric methods for markets without taxes to our setting, and estimate preferences in the college-coach football market. We show through simulations that standard methods inaccurately measure deadweight loss.