A modified logit model for time series with an application to the pricing behaviour of manufacturing firms in Australia

The modified logit model (Amemiya and Nold, 1975) is generalised to the case where the error term is autocorrelated. The asymptotic distribution (as n →∞ and T →∞) of a feasible GLS estimator of β is derived. Tests of linear restrictions on β and the significance of ρ are presented. The results of the applied work suggest that the factors which explain the pricing behaviour of manufacturing firms, as reported in the tendency survey conducted by the Australian Chamber of Commerce and Industry and the Westpac Banking Corporation, include historical inflation rates of up to 7 quarters and capacity utilisation. First version received: March 2001/Final version received: July 2002 RID="*" ID="*"  The first draft of this paper was written while the author was on study leave at the Department of Econometrics, University of Sydney, Australia.     

外部供需冲击视角下的东亚货币合作可行性研究

区域货币合作在维护区域金融稳定、促进区域经济发展方面具有不可替代的作用。欧洲主权债务危机爆发后,人们对东亚能否继续进行货币合作产生了疑问,有必要结合欧债危机产生的新情况、新问题,从新的视角探讨东亚货币合作的可行性。文章从供给与需求两方面的经济结构冲击对称性视角,对东亚10个经济体之间的冲击相关系数、冲击规模与调整速度进行了实证分析,证实了东亚区域不同经济体之间存在着不同的对称性,具有双边和次区域货币合作的经济基础。同时文章提出东亚区域未来货币合作的形式、实现路径和风险防范措施。     

甘肃省经济发展态势分析——基于时序主成分分析

本文利用时序主成分分析法，对甘肃的经济发展态势进行了分析，时序全局主成分分析的方法是时序分析和全局主成分分析方法的结合，从文中的实证部分来看，时序主成分分析法得到的分析结果与甘肃省的现实经济状况相吻合。     

Plucking models of business cycle fluctuations: Evidence from the G-7 countries

Friedman's `plucking' model, in which output cannot exceed a ceiling level but is occasionally plucked downward by recessions, is tested using Kim and Nelson's formal econometric specification on output data from the G-7 countries. Considerable support for the model is obtained, leading us to conclude that during normal periods, output seems to be driven mostly by permanent shocks, but during recessions and high-growth recoveries, transitory shocks dominate. During these periods macroeconomic models that emphasise demand-oriented shocks, rather than real business cycle type models, may thus be more appropriate. First Version Received: September 2000/Final Version Received: May 2001     

The complete removal of individual uncertainty: multiple optimal choices and random exchange economies

Summary. The aim of this paper is to develop some measure-theoretic methods for the study of large economic systems with individual-specific randomness and multiple optimal actions. In particular, for a suitably formulated continuum of correspondences, an exact version of the law of large numbers in distribution is characterized in terms of almost independence, which leads to several other versions of the law of large numbers in terms of integration of correspondences. Widespread correlation due to multiple optimal actions is also shown to be removable via a redistribution. These results allow the complete removal of individual risks or uncertainty in economic models where non-unique best choices are inevitable. Applications are illustrated through establishing stochastic consistency in general equilibrium models with idiosyncratic shocks in endowments and preferences. In particular, the existence of “global” solutions preserving microscopic independence structure is shown in terms of competitive equilibria for the cases of divisible and indivisible goods as well as in terms of core for a case with indivisible goods where a competitive equilibrium may not exist. An important feature of the idealized equilibrium models considered here is that standard results on measure-theoretic economies are now directly applicable to the case of random economies. Some asymptotic interpretation of the results are also discussed. It is also pointed out that the usual unit interval [0,1] can be used as an index set in our setting, provided that it is endowed together with some sample space a suitable larger measure structure. Received: September 14, 1998; revised version: January 6, 1999     

A new methodology for the logistic analysis of evolutionary S-shaped processes: Application to historical time series and forecasting

A new multi-logistic methodology to analyze long range time series of evolutionary S-shaped processes is presented. It conceptually innovates over the traditional logistic approach. The ansatz includes computing the residuals to an optimized multi-logistic trend curve least squares fitted to the time-series data. The elements of the residuals series are checked for autocorrelations and once detected the residuals series is further analyzed to search for eventual presence of underlying periodic structures using a truncated Fourier sine series. The method foundations ensures both a universal applicability and a capacity to disclose the existence of active clocks that can be possibly traced to the driving motors of the evolutionary character of the time series, due to the responsiveness of corresponding process to the development of economic cycles. On associating these two views, it is found that the methodology has a strong potential to improve the quality of short-term forecasts. These findings have been put to test through applications of the methodology to studying the time evolution of two commodities of strong economic and social importance (corn and steel) and good results were consistently obtained for both the analytical and forecasting aspects.     

Evaluating the risk premium in the U.S.A. natural gas market: evidence from low-price regime

In recent years, the U.S.A. natural gas market has seen enormous changes. The expectations of abundant supply of shale gas and the slow U.S.A. economic recovery have pushed gas prices below US$ 4 MMBtu. Although shale gas is a new promising source of unconventional energy, investors face uncertain investment plans. In this study, we investigate the risk premium by comparing behaviour before and after the change point in agents risk perception. Unlike traditional empirical research on risk premium, we use the parametric, two-factor model of Schwartz and Smith (2000) to evaluate the implied risk premium term structure from futures prices traded on the New York Mercantile Exchange (NYMEX). We compare our findings with other empirical results and find that the change point lies at the beginning of the low-price regime. When we compare periods before and after the change point, we observe that the risk premium changed, not only in sign, but also in magnitude.     

The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US

This article provides out-of-sample forecasts of linear and nonlinear models of US and four Census subregions’ housing prices. The forecasts include the traditional point forecasts, but also include interval and density forecasts, of the housing price distributions. The nonlinear smooth-transition autoregressive model outperforms the linear autoregressive model in point forecasts at longer horizons, but the linear autoregressive and nonlinear smooth-transition autoregressive models perform equally at short horizons. In addition, we generally do not find major differences in performance for the interval and density forecasts between the linear and nonlinear models. Finally, in a dynamic 25-step ex-ante and interval forecasting design, we, once again, do not find major differences between the linear and nonlinear models. In sum, we conclude that when forecasting regional housing prices in the United States, generally the additional costs associated with nonlinear forecasts outweigh the benefits for forecasts only a few months into the future.     

A sneeze in the U.S., a cough in Japan,but pneumonia in Taiwan? An application of the Markov-Switching vector autoregressive model

This paper examines the lead–lag relationships among the output of Taiwan, Japan and the U.S. Three testing methods are employed: the traditional linear Granger causality test, Hiemstra and Jones' [Hiemstra, C., Jones, J.D., 1994. Testing for linear and nonlinear Granger causality in the stock price-volume relation. Journal of Finance 49, 1639–1664] nonlinear Granger causality test and Warne's [Warne, A., 2000. Causality and regime inference in a Markov-S switching VAR, Working Paper no. 118, Sveriges Riksbank, Stockholm.] Granger causality test under the Markov-Switching model. We find that the causal ordering is unclear and depends on the model we used. Because Markov-Switching model imposes few restrictions in estimation, we tend to use its estimated results but bear in mind that the evidence is sensitive. First, the common shock hypothesis is found that most probably exists between Taiwan and the U.S. Next, we conclude that Japan tends to lead Taiwan's output, to a certain extent. Last, there is no causal ordering between the U.S. and Japan economies.     

The behaviour of relative prices in the European Union: A sectoral analysis

Using multivariate unit root test methods, this paper investigates the Purchasing Power Parity (PPP) hypothesis at the sectoral level across six European countries over the last 17 years. Evidence of mean reversion towards PPP is found for the relative prices of some sectors and countries. Mean reversion in relative prices is explained by cross-country and cross-sectoral characteristics such as the distance between countries, nominal exchange rate volatility, differences in GDP per capita, non-tariff barriers, research and development, advertising, industrial concentration and tradeability of the products.     

Time series analysis of economic growth rate series in Nigeria: structural breaks,non-linearities and reasons behind the recent recession

This article deals with the modelling of growth rate time series in Nigeria with a view of detecting its statistical properties, structural breaks and non-linearities. We employ both fractional integration and structural break time series techniques in modelling the annual growth rate series of the Nigerian GDP growth rate for about 55 years. The data span between 1960 and 2017. The results show that Nigerian growth rate is unstable with non-linearities and long-range dependence structures. We also investigate what might explain these features and conclude that erratic political institutions, associated with poor economic management and insecurity in Nigeria, among others, in the decades after independence are the root causes of non-linearities observed, which have also led to the subsequent recent economic recession in Nigeria.     

Information in stock prices: the case of the 2016 U.S. presidential election

On the day before the 2016 U.S. presidential election, the odds of Hillary Clinton winning the presidency, according to political prediction markets, were above 90%. Surprisingly, Donald Trump won the Electoral College handily. In this study, we examine how movements in specific stock prices foreshadowed the eventual outcome. Specifically, we conduct a series of standard event-study tests focused on pharmaceutical companies, which became a focal point during the presidential campaign. Results show that while stocks of pharmaceutical companies significantly underperformed the market prior to the election, prices substantially increased beginning three days before the election outcome. This increase is both statistically significant and economically meaningful and robust to various event-study methodologies. These results suggest that some sectors of the stock market seemed to anticipate the election outcome.     

辽宁省的继续工业化研究:全球化背景下的策略

辽宁省在传统计划经济体制的安排下通过其他地区、部门资源的注入建立了工业化的基础,改革开放以后,价格的市场配置功能发挥作用,要素供给与需求结构发生变动,稀缺资源的外部注入出现障碍,使辽宁省传统的工业化进程受阻,比较优势下降,工业竞争力减弱。在全球化背景下,继续推进工业化的策略应考虑通过进入国际分工体系,在全球产业梯度转移中重新引导稀缺资源的外部注入,并将工业品的供给与外部较高层次的需求水平连接,从而改善不利的供求条件,推动经济增长和结构升级。     

The time series behaviour of spot exchange rates in the German hyper-inflation period: (Was the process chaotic?)

A discrete time approximation to the continuous time hyper-inflation model of Sargent and Wallace (1993) in which the authorities finance a given budget deficit by printing money appears to admit the possibility of chaotic solutions. In this paper we investigate the time series properties of daily observations on the Pound Reichsmark spot exchange rate in the inter-war hyper-inflation period. Our empirical analysis is suggestive that spot rates were generated by a non-linear possibly chaotic process.     

Firm credit in the euro area: a tale of three crises

Using survey data from 2009 to 2011, we analyse the effects of the recent euro area economic, financial and private debt crisis on the supply of and demand for bank finance for small and medium enterprises (SMEs). At the country level, we identify three distinct aspects of the recent crisis in the euro area affecting firm credit through different channels. Controlling for country fixed effects, the impact of a weak real economy on firm credit operates both by reducing firms’ demand for bank financing and by lenders increasing loan rejections and tightening terms and conditions on credit allocated. On the other hand, financial conditions have no significant effect on demand, but they do affect credit supply as we find that financial tensions worsen the chances of obtaining credit and its terms and conditions. We interpret this as evidence of a bank balance sheet channel negatively impacting credit provision. We find that private sector indebtedness has important effects on SMEs’ credit access and its terms and conditions.     

The Great Leap Forward, Economic Reforms, and the Unit Root Hypothesis: Testing for Breaking Trend Functions in China's GDP Data

This paper has two related objectives. The first is to evaluate empirically whether annual data for China's GDP and its sectoral components from 1952 to 1998 can be modeled more accurately as a stationary process around a breaking trend function as opposed to a unit-root process. The second is to identify the long-run growth path of the Chinese economy and shocks that are big enough to have altered the path. The conclusion that China's major output time series are trend stationary with structural breaks has significant implications for the government in policy decisions for long-run growth and short-run stabilization. It also has implications for modeling comovements between output variables and other macroeconomic variables in cointegration analysis of the Chinese economy.J. Comp. Econom., December 2000, 28(4), pp. 814–827. Department of Commerce, Massey University (Albany), Auckland, New Zealand.     

三次产业协同带动的产业经济学机理研究——需求拉动和供给推动分析

需求拉动和供给推动是促进经济增长的两个重要推动力。转变经济发展方式需要调整需求结构,调整供给结构,调整要素结构。文章从供给和需求两个作用力分析市场的产量及产品的社会价值,对政府鼓励创新加大研发投入,促进社会产量与价值最优化进行了分析,提出技术研发投资的最优化极大地提高了产品的技术含量,提高了企业生产效率,并使得各类稀缺资源得到更加合理、高效的使用,资源要素的替代性进一步增强。各部门和地区根据自己的资源要素特点发展经济,加大创新投入,重视新能源发展,通过新能源引领的产业革命逐步实现低碳经济和生态文明,走内生增长的可持续发展道路。     

The role of domestic demand in the economic growth of Malaysia: a cointegration analysis

For the past four decades (1961-2000), the Malaysian economy grew at an impressive average rate of 6.8% per annum. The rapid growth has been attributed, in part, to the tremendous success in the export-oriented industrialization policy. Several empirical studies on export-led growth for Malaysia have, however, led to inconclusive and mixed results. This may be due to the exclusion of domestic demand in the bivariate or multivariate models used in the studies. This study re-examines the role of domestic demand in economic growth in Malaysia. Using a three-variable cointegration analysis, the study shows that there exist short run bilateral causalities among the three variables, which implies that both the export-led growth and domestic demand-generated growth hypotheses are at least valid in the short run. On the other hand, the results are not supportive of the export-led growth hypothesis in the long run. Instead, the highly significant positive impact of domestic expenditure on economic growth implies that use of domestic demand as the catalyst for growth is appropriate.     

供求理论视角下农地流转的金融支持问题探析——以福建省为例

农地流转刺激了对金融的需求,为农村金融业提供巨大的市场,而现有的金融供给和支持力度无法满足农村金融需求产生了农地流转金融供求数量和结构性失衡。建议从以下方入手以化解农村金融贷款风险：完善农村金融制度,加强农地流转的金融政策扶持;完善抵押担保和农村社会保障体系,为农地金融制度奠定基础;改进农地金融服务,创新农地金融产品;健全农地金融的配套制度。