山西省经济增长与煤炭生产量、消费量的相关性分析

利用19782004年的相关数据,对山西煤炭年产量、年消费量与山西经济增长进行相关性分析,认为山西省的煤炭生产量与GDP增长不具有长期均衡关系,而山西的煤炭消费量与GDP增长有着很好的同步关系,煤炭消费量的变化最终影响了山西的经济增长。该结论解释了山西煤炭的“资源诅咒”现象。山西资源经济要健康地可持续发展,一种符合可持续发展理念的现实选择即是在科学的煤炭价格机制下大力发展循环经济。     

非理性股价与企业投资行为：来自中国上市公司的经验证据

股票价格的非理性变化是否会对资本配制产生重要影响呢?本文试图从实证的角度回答这一问题。利用一个面板VAR模型,我们发现,对于高流通股比例的企业,与基本因素相正交的Tobin's Q冲击对投资有显著影响。但是,方差分解显示,投资波动中可由Tobin's Q解释的比例很低。这些证据意味着,非理性的股价变化虽然会对真实投资产生影响,但其作用相当有限。结果还显示,股价的非理性变化主要通过迎合渠道,而非股本融资渠道影响投资。     

Abstraction and product categories as explanatory variables for food consumption

This study sets out to explore variation in the consumer choice structure in relation to three types of products with different levels of search, experience and credence attributes. The decision structures of rice, wine and functional food (experience, search and credence products) consumers were explored by means of laddering. The results suggest the presence of an emotional component in foods that increases in complexity (becomes more abstract) with the number of credence attributes. The findings recommend adjusting the complexity of advertising campaigns and product positioning to the type of product being promoted.     

The elasticity of demand for wagering in an unregulated market

The literature estimating the take-out rate (price) elasticity of horse race wagering has consistently found values far above one. The persistence of these apparently inefficiently high prices can be attributed to institutional factors of the US market where federal taxes are imposed on the total amount wagered, and not on the bookmakers’ revenue. By investigating all horse races in New Zealand from August 1993 to April 2009, our article is the first one to consider price setting for wagering in an unregulated market where taxes for a monopolistic betting agency are based on revenues. In such a setting, one would expect elasticities close to one, but in all econometric specifications, we find values well below one. We identify two reasons why higher prices could nevertheless reduce profits: cross price elasticities are negative and, due to the specific features of parimutuel betting, international competitors may only be attracted when take-out rates are above a critical threshold.     

Oil price forecasting under asymmetric loss

Based on the approach developed by Elliott et al. (2005), we found that the loss function of a sample of oil price forecasters is asymmetric in the forecast error. Our findings indicate that the loss oil price forecasters incurred when their forecasts exceeded the price of oil tended to be larger than the loss they incurred when their forecast fell short of the price of oil. Accounting for the asymmetry of the loss function does not necessarily make forecasts look rational.     

Volatility and stock price indexes

The stochastic approach to index numbers has been successfully applied to the estimation of inflation, the world interest rate and international competitiveness.?One distinct advantage of this approach is that it provides the whole distribution of the index, not simply one value. In this article, we extend the stochastic approach to the estimation of a stock market index. We demonstrate how this approach can be used to identify ‘redundant stocks’ that do not contribute significantly to the overall index.?For index tracking purposes, these stocks can be safely excluded.     

The multi-market analysis of a housing price transmission model

In this article, we examine dynamic relationships among housing prices from four first-tier cities in China from December 2000 to May 2010 and present an equilibrium model of housing price in multi-markets. By explicitly incorporating and modelling endogenous price series in competing housing markets, our empirical model is able to capture the existence of long-run equilibrium relationships and important short-run dynamics and price structures such as price leadership, price transmission lag and asymmetric price responses. Such multi-market analysis has generalized implications and can easily be applied to analyse the pricing dynamics among other real estate markets in the world. Our major contribution lies in two aspects. First, we employ an Error-Correction Model (ECM) with Directed Acyclic Graphs (DAG) to study the price dynamics in the four largest and key housing markets in China. Second, we uncover a price transmission among these housing markets in China and provide an insightful understanding of price adjustment across markets. The revealed effective price transmission and high correlation among these different markets actually is not a good thing for a stable financial system and for the defence against price bubbles in the housing market.     

Why Do Prices Remain Stable in the Bubble and Bust Period?

In spite of a large swing in real output growth in the bubble and bust period, aggregate prices remained relatively stable in Japan. Empirical results show that such price rigidity can be explained by the customer market model combined with financial constraints. The degree of financial constraints that firms face in the bubble and bust period fluctuates significantly, and the impact of financial positions on firms’ prices is counter-cyclical. In booms, liquidity-abundant firms invest in market share by keeping prices down, while in a recession financially constrained firms charge a high price to locked-in customers who remain loyal. Such counter-cyclicality is clearly observed in the pricing behavior of large firms that produce differentiated goods. In contrast, small firms whose product brand is not well established in the market cannot lock in customers, and hence financial constraints do not affect their pricing decisions.     

Teaching Third-Degree Price Discrimination

Abstract: Third-degree price discrimination is taught in almost every intermediate microeconomics class. The theory, geometry, and the algebra behind the concept are simple, and the phenomenon is commonly associated with the sale of many of the goods and services used frequently by students. Classroom discussion is usually vibrant as students can relate their experiences of being on the receiving end of third-degree price discrimination, usually to their advantage. However, the precision of the language used in the exposition of the theory in textbooks is generally less precise than one would hope for, leading students to confuse slope and elasticity. The authors ask textbook writers to provide greater precision in their explanation of why differing elasticities are associated with the prices paid by two (or more) distinct groups of buyers facing third-degree price discrimination.     

Forecasting US real house price returns over 1831–2013: evidence from copula models

Given the existence of nonnormality and nonlinearity in the data generating process of real house price returns over the period of 1831–2013, this article compares the ability of various univariate copula models, relative to standard benchmarks (naive and autoregressive models) in forecasting real US house price over the annual out-of-sample period of 1874–2013, based on an in-sample of 1831–1873. Overall, our results provide overwhelming evidence in favour of the copula models (Normal, Student’s t, Clayton, Frank, Gumbel, Joe and Ali-Mikhail-Huq) relative to linear benchmarks, and especially for the Student’s t-copula, which outperforms all other models both in terms of in-sample and out-of-sample predictability results. Our results highlight the importance of accounting for nonnormality and nonlinearity in the data generating process of real house price returns for the US economy for nearly two centuries of data.