An in-sample and out-of-sample empirical investigation of the nonlinearity in house prices of South Africa

This paper tests whether housing prices in the five segments of the South African housing market, namely large-middle, medium-middle, small-middle, luxury and affordable, exhibit non-linearity based on smooth transition autoregressive (STAR) models estimated using quarterly data from 1970:Q2 to 2009:Q3. Findings point to an overwhelming evidence of non-linearity in these five segments based on in-sample evaluation of the linear and non-linear models. We next provide further support for non-linearity by comparing one- to four-quarters-ahead out-of-sample forecasts of the non-linear time series model with those of the classical and Bayesian versions of the linear autoregressive (AR) models for each of these segments, for the out-of-sample horizon 2001:Q1 to 2009:Q3, using the in-sample period 1970:Q2 to 2000:Q4. Our results indicate that barring the one-, two and four-step(s)-ahead forecasts of the small segment, the non-linear model always outperforms the linear models. In addition, given the existence of strong causal relationship amongst the house prices of the five segments, the multivariate versions of the linear (classical and Bayesian) and STAR (MSTAR) models were also estimated. The MSTAR always outperformed the best performing univariate and multivariate linear models. Thus, our results highlight the importance of accounting for non-linearity, as well as the possible interrelationship amongst the variables under consideration, especially for forecasting.     

Investigating regional house price convergence in the United States: Evidence from a pair-wise approach

In this paper we examine long-run house price convergence across US states using a novel econometric approach advocated by Pesaran (2007) and Pesaran et al. (2009). Our empirical modelling strategy employs a probabilistic test statistic for convergence based on the percentage of unit root rejections among all state house price differentials. Using a sieve bootstrap procedure, we construct confidence intervals and find evidence in favour of convergence. We also conclude that speed of adjustment towards long-run equilibrium is inversely related to distance.     

Reprint of: A common-pool resource experiment with postgraduate subjects from 41 countries

This study reports results from a new series of experiments that examine the robustness of face-to-face communication as a cooperation-facilitating institution in common-pool resource settings. Results are reported from nine experiment sessions, initially designed for pedagogical purposes. The sessions were conducted between 1998 and 2007 as part of a series of summer institutes on institutional analysis and environmental change. Subjects were graduate students and professionals from diverse disciplines, representing 41 countries of residence. The participants in this study stand in sharp contrast to most previous studies, which used undergraduates who self-select into experiments by volunteering to participate. Results from these experiments substantiate earlier findings that non-binding communication can serve as an effective mechanism for solving social dilemma problems, with subjects achieving near socially efficient outcomes.     

Competitive behavior in market games: Evidence and theory

We explore whether competitive outcomes arise in an experimental implementation of a market game, introduced by Shubik (1973) [21]. Market games obtain Pareto inferior (strict) Nash equilibria, in which some or possibly all markets are closed. We find that subjects do not coordinate on autarkic Nash equilibria, but favor more efficient Nash equilibria in which all markets are open. As the number of subjects participating in the market game increases, the Nash equilibrium they achieve approximates the associated competitive equilibrium of the underlying economy. Motivated by these findings, we provide a theoretical argument for why evolutionary forces can lead to competitive outcomes in market games.     

ECONOMIC ANALYSIS ON THE URBAN–RURAL DISPARITY IN HUMAN CAPITAL IN CHINA

With China's economic development and capital accumulation in the industrial sectors, the human capital level of the labours moving from the rural areas could no longer meet the demand of the industrial sectors. Therefore, “structural shortage of technical labour” emerged in the labour market as a result of excess of demand for high‐skilled workers. Previous literature mostly focused on the relationship between rural human‐capital level and labour movement, income change and economic growth, but in this article, the authors focus on the study of the relative disparity of urban and rural human capital and labour movement, as well as the effect of the change of urban–rural human capital gap on industrial output, profit and social welfare. This article shows that bridging the urban–rural gap in respect of human capital level could not only improve the situation of the “structural shortage of technical labour,” but also have a positive effect on the general social welfare.     

完善我国R＆D统计制度的对策思考

我国的R＆D统计始于20世纪80年代,至今已初步建立了依托于科技统计制度的符合国际标准的R＆D统计制度。但由于开展R＆D统计的时间较短,现行R＆D统计制度中还存在一定的缺陷,影响到统计数据的质量。文章结合笔者的调查情况,指出了我国R＆D统计在统计报表设计及统计工作组织方面存在的问题,并进行了具体分析,最后提出了完善R＆D统计制度的对策建议。     

Optimal rotation with declining discount rate

In recent years it has been argued, from many perspectives, that the further into the future a value flow occurs, the lower is the appropriate discount rate for it. National governments are now beginning to authorise such declining discount rates. This viewpoint can be, and has been, formalised in various ways, and has been applied to evaluating forestry investments of given durations. When the optimal duration of investment is itself the issue, new problems arise. Lower discount rates make subsequent rotations longer than earlier ones, and for a given length more valuable than they would otherwise be. This affects the optimal length of earlier rotations, which in turn may affect the discount rate profile applicable to later ones. In the absence of analytical solutions for the optimal sequence of rotations, numerical protocols are needed. The results arising are mostly in accord with expectations. If the change of discount rate is due to expected changes of circumstance that are actually realised, then the optimal sequence of rotations will remain as initially determined. If, however, it is due merely to the particular time perspective of the present generation, rotations will be revised by future generations. This will lead to a sequence of rotations similar to that deemed optimal at the current short-term discount rate. The most important reductions in profitability caused by choosing the “wrong” discounting protocol arise from the “wrong” rate, rather than by using declining rates as such.     

Interlocked Village Markets and Trader Idiosyncrasy in Rural India

The role of traders and traditional exchange institutions has received little attention in empirical research on rural markets in developing countries. We use detailed data on transactions in a village commodity market in India and identify two observed anomalies: first, the repeal of the law of one price, and second, a trader‐idiosyncratic effect, namely that large volumes are sold to a trader who does not offer the best price. Econometric analysis demonstrates that trader idiosyncrasy can largely be explained by reciprocity motives in interlocked village markets. Reciprocity leads to market inefficiencies and can result in unexpected supply responses.     

Cropland use,yields, and droughts: spatial data modeling for Burkina Faso and Niger

For countries with recurrent droughts, the design of drought impact mitigation measures could benefit from analyses of determinants of yields and prices of local crops at regional and district level. This study applies dynamic spatial panel data regression models to yields and prices of four major food crops across regions of Burkina Faso and Niger, over sample periods between 1984 and 2006. Results lend support to mainly simultaneous spatial spillovers, particularly for millet and cowpea prices and sorghum yields in Niger, and maize yields in Burkina Faso. After accounting for these effects, most crop yields are found to be weakly price‐responsive, as envisaged by a supply‐side geographical diffusion hypothesis. Seasonal rainfall elasticity estimates suggest that dominant food crops have slight advantage margins in terms of relative resilience to rainfall shortages. However, this result is to be weighed against low millet yields in Niger, and marked drops in sorghum yields during officially declared droughts in Burkina Faso.