地市级地区间基本建设公共支出的相互影响

本文考察中国地市级地区间基本建设公共支出相互影响的机制和特征,主要包括溢出效应和竞争效应。由于地市级基本建设支出的正外部性,溢出效应使得相邻地区基本建设支出间负相关;由于中国特有的地方官员激励结构,地区间经济增长的竞争会导致基本建设公共支出正相关。本文使用中国地市级地区2002—2005年数据检验这两个影响渠道。经验分析发现了溢出效应和竞争效应存在的证据。     

中国居民货币需求结构及其对货币需求函数的影响

失业率对中国居民货币需求量存在显著性关系,证券收益率与改革的市场化进程对货币需求存在不同层次的影响。M2的动态模型显示,失业率、利率及市场化率一期滞后值对M2有显著性影响,当期居民收入及其一期滞后值也对M2有显著性影响。因此,中国货币当局应充分关注利率、失业率以及中国市场经济改革进程对微观主体——居民货币需求的影响,以使货币政策更好地促进经济发展。     

An economic evaluation of stock–bond return comovements with copula-based GARCH models

Owing to their importance in asset allocation strategies, the comovements between the stock and bond markets have become an increasingly popular issue in financial economics. Moreover, the copula theory can be utilized to construct a flexible joint distribution that allows for skewness in the distribution of asset returns as well as asymmetry in the dependence structure between asset returns. Therefore, this paper proposes three classes of copula-based GARCH models to describe the time-varying dependence structure of stock–bond returns, and then examines the economic value of copula-based GARCH models in the asset allocation strategy. We compare their out-of-sample performance with other models, including the passive, the constant conditional correlation (CCC) GARCH and the dynamic conditional correlation (DCC) GARCH models. From the empirical results, we find that a dynamic strategy based on the GJR-GARCH model with Student-t copula yields larger economic gains than passive and other dynamic strategies. Moreover, a less risk-averse investor will pay higher performance fees to switch from a passive strategy to a dynamic strategy based on copula-based GARCH models.     

ECONOMETRICS FOR GRUMBLERS: A NEW LOOK AT THE LITERATURE ON CROSS‐COUNTRY GROWTH EMPIRICS

Abstract Since the seminal contribution of N. Gregory Mankiw, David Romer and David N. Weil in 1992 the growth empirics literature has used increasingly sophisticated methods to select relevant growth determinants in estimating cross‐section growth regressions. The vast majority of empirical approaches, however, limit cross‐country heterogeneity in production technology to the specification of total factor productivity, the ‘measure of our ignorance’. In this survey, we present two general empirical frameworks for cross‐country growth and productivity analysis and demonstrate that they encompass the various approaches in the growth empirics literature of the past two decades. We then develop our central argument, that cross‐country heterogeneity in the impact of observables and unobservables on output as well as the time‐series properties of the data are important for reliable empirical analysis.     

Thirty-five years of journal of econometrics

The paper discusses how the Journal of Econometrics started and has grown over the years. It analyzes a trend in the research areas of the published articles and reviews some of the important papers that have been published. It concludes with an assessment of the future of the journal.