基础设施对中国经济增长的影响及机制研究*——基于扩展的Barro增长模型

基础设施既可以作为特殊的资本存量直接促进经济增长，又可以通过促进投资和劳动力增加（增加生产要素数量）以及提高存量资本和劳动力的边际生产率（提高生产要素效率）间接促进经济增长。本文构建了一个扩展的Barro经济增长模型，并利用中国1992—2016年省级面板数据和中介效应模型对两条机制进行实证检验。结果发现：基础设施对经济增长具有促进作用，但对交通、能源、通信三类基础设施的影响以及在2008年金融危机前后均表现出异质性。直接效应呈动态上升趋势，中介效应则逐渐下降。针对异质性的原因，本文进一步采用非线性模型进行检验。结果表明我国基础设施对经济增长的促进作用主要表现为规模扩张型、数量型或外延型，而不是以质量型和内涵型为主的形式。能源和通信基础设施对经济增长的总效应具有规模效应，交通基础设施的规模效应不显著，但也对经济增长具有持续促进作用。这说明目前我国三类基础设施仍然具有较大投资潜力。其中的关键是要通过基础设施建设提高生产要素效率。     

Life Course Perspective on Economic Shocks and Income Inequality Through Age-Period-Cohort Analysis: Evidence From Finland

Utilizing age-period-cohort analysis, this paper examines the development of income distribution across periodic economic fluctuations in relation to cohorts and age groups. The empirical analysis is based on the Finnish Income Distribution Statistics and Household Expenditure Surveys covering the period of 1966–2015. The findings suggest that the period and cohort effects can be identified as the main effects on relative income, while the age effects have no meaningful impact when the control variables are taken into account. This result reveals a connection between the effects of economic shocks and cohort placement on labor market entry. Additionally, absolute income analysis suggests that economic shocks create stagnation points in income development, which are especially detrimental to cohorts who are transitioning into labor markets. Additionally, middle-income attainment has not changed due to periodic shocks but rather is related to inter-cohort inequalities and relative income differences, where the baby boomer generation is a clear winner.     

Productivity changes in pre-crisis Western European banks: Does scale effect really matter?

Insofar as the completion of the Single Market for Financial Services, it has presented new challenges for European Banking industries. In this study, we use a recently developed generalized metafrontier Malmquist productivity index (gMMPI) to provide insights on productivity growth. We extend the gMMPI to broaden the index's capacity by decomposing various sources of productivity change in the metafrontier context. The sample contains commercial banks from 12 Western European countries prior to the recent financial crisis. A key advantage of our extension is that it introduces the role of scale effects. The empirical results show that an average bank's productivity growth arises mainly from technical changes and scale effects. Moreover, smaller and larger banks grow faster than medium ones. In addition, conservative banks tend to grow faster. These findings suggest that a more competitive and integrated financial market induced by financial deregulation is indeed able to improve banks’ productivity.     

Is There a Causal Effect of Working Part‐Time on Current and Future Wages?

In this paper, I study the causal effects of part‐time work on current and future wages. To estimate these effects, I use a random effects model with a wage equation capturing the employment history and a dynamic multinomial probit component for the choice of employment status. Exclusion restrictions from the institutional context are exploited to support identification. The results suggest that working part‐time with few hours has a large causal effect on current wages, but more extensive part‐time work does not reduce current wages. However, both types of part‐time work lead to negative long‐term wage effects.     

Retail channel price discrimination

This paper examines price differentials of identical items across retail channels. Many consumer packaged goods are sold through both grocery and drug stores. Liquor is unique in that in much of the country there is a third retail channel of distribution, liquor stores. If consumers in each retail channel differ in their willingness to pay for certain items, then sellers can exploit those differences and charge different prices for the same items in each channel. We examine a unique data set of pooled cross sectional retail scanner data on wine to test whether sellers use retail channel to identify heterogeneous consumer market segments and engage in price discrimination. We begin by presenting a model of price discrimination by retail channel along with behavioural assumptions regarding shoppers in each channel. Next we examine sales by retail channel and find persistent price differentials for the same item across retail channel after controlling for sample selection bias and seasonality. Lastly, we estimate the price elasticity of demand correcting for endogeneity and find differences across channel consistent with the price differentials. The extent of price differential, however, differs significantly with respect to price point.     

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.     

A Bayesian approach to excess volatility,short-term underreaction and long-term overreaction during financial crises

In this paper, we introduce a new Bayesian approach to explain some market anomalies during financial crises and subsequent recovery. We assume that the earnings shock of an asset follows a random walk model with and without drift to incorporate the impact of financial crises. We further assume the earning shock follows an exponential family distribution to accommodate symmetric as well as asymmetric information. By using this model setting, we develop some properties on the expected earnings shock and its volatility, and establish properties of investor behavior on the stock price and its volatility during financial crises and the subsequent recovery. Thereafter, we develop properties to explain excess volatility, short-term underreaction, long-term overreaction, and their magnitude effects during financial crises and the subsequent recovery. We also explain why behavioral finance theory could be used to explain many of the asset pricing anomalies, but traditional asset pricing models cannot achieve this aim.     

The Role of Financial Ratios in the Variance of Stock Trading Volume in Emerging Stock Markets

The study used quarterly panel data of 6 years from 2010 to 2015 of all companies listed on both Vietnamese stock markets including the Ho Chi Minh City Stock Exchange and Ha Noi Stock Exchange, and on three leading industries consisting of insurance-banking, foodstuff, and real estate to explore the relationship among four key financial ratios and stock trading volume. Two models, fixed effects model (FEM) and random effects model (REM), with robust standard errors, were applied for this study. The key findings showed that earnings before tax on sales, debt on owner’s equity, and owner’s equity on total assets significantly influenced trading volume.     

国库现金转存商业银行的货币效应分析及管理建议

近年来,我国国库现金余额因国家财力增长及预算收支进度不均衡等因素出现大幅上升,闲置国库现金运用对货币供应的影响日益显著。该文根据商业银行资产运用特点,通过模型构建简单分析了国库现金转存商业银行的年度货币效应,以揭示其货币效应的影响因素,并从建立健全法规规章、提高国库收支预测水平等方面,提出进一步完善国库现金业务管理的相关建议。     

Same as it ever was? Europe's national borders and the market for corporate control

National borders continue to be strong barriers for mergers and acquisitions in Europe. Using regional data, we construct a gravity model and find that the restraining impact of national borders decreased by more than 17 percent between 1991 and 2007. However, no significant change has occurred since the mid-1990s (i.e., four years before the introduction of the euro). In comparison, we run a corresponding analysis in the United States using the 10 federal regions as country equivalents. The resulting ‘quasi-border’ effect in the United States is weaker than that in the European Union. Yet its decline by 43 percent is much stronger in the same period. We conclude that European integration policy has had little effect on fostering M&A cross-border transactions.