Econometric Methods for Modelling Systems With a Mixture of i(1) and i(0) Variables

This paper considers structural models with both I(1) and I(0) variables. The structural shocks associated with either set of variables could be permanent or transitory. We classify the shocks as (P1,P0) and (T1,T0), where P/T distinguishes permanent/transitory, while 1/0 means they are attached to structural equations with either I(1) or I(0) variables as their ‘dependent’ variable. We show that P0 shocks can affect cointegration analysis and provide a formula to compute the permanent component if they are present. Finally, we reformulate a well‐known empirical structural vector autoregression showing the impact of P0 shocks when there are just long‐run parametric and sign restrictions. Copyright © 2015 John Wiley & Sons, Ltd.     

Animal Spirits and the Business Cycle: Empirical Evidence from Moment Matching

In this article, we empirically examine a hybrid New‐Keynesian model with heterogeneous bounded rational agents who may adopt an optimistic or pessimistic attitude—so called animal spirits—toward future movements of the output and inflation gap. The model is estimated via the simulated method of moments using Euro Area data from 1975Q1 to 2009Q4. In addition, we compare its empirical performance to the standard model with rational expectations. Our empirical results show that the model‐generated auto‐ and cross‐covariances of the output, inflation and nominal interest rate gap can provide a good approximation of the empirical second moments.     

Are Trade Preferences more Effective than Aid in Supporting Exports? Evidence from the ‘Everything But Arms’ Preference Scheme

This study examines the effect of the ‘Everything But Arms’ (EBA) trade preferences regime on exports from the African, Caribbean and Pacific countries (ACP) to the European Union (EU). With this aim, an augmented gravity model is estimated for exports from the 79 ACP countries to the EU‐15 for the time period of 1995—2013 using panel data techniques. The results are used to quantify the effect of the eligibility for EBA preferences on the export performance of the ACP least developed countries (LDCs) and to relate it to the impact of official development assistance on exports. In addition to their separate effects, the combined impact of EBA and aid flows is examined. The main results do not provide evidence for an additional positive effect of the EBA agreement on the export performance of the ACP LDCs. However, receiving aid shows a significant and positive effect on exports from EBA‐eligible ACP countries to the EU‐15, supporting an EU development strategy that includes both sorts of assistance, aid and trade preferences.     

Heterogeneous Firms,Globalisation and the Distance Puzzle

Despite the strong pace of globalisation, the distance effect on trade is persistent or even growing over time (Disdier and Head, 2008). To solve this distance puzzle, we use the recently developed gravity equation estimator from Helpman et al. (2008) (HMR henceforth). Using three different data sets, we find that the distance coefficient increases over time when ordinary least squares (OLS) is used, while the non‐linear estimation of HMR leads to a decline in the distance coefficient over time. The distance puzzle, thus, arises from a growing bias of OLS estimates. The latter is explained by an increase in the importance of the bias from omitting the number of heterogeneous exporting firms relative to the bias from omitting zero trade flows. Furthermore, we show that including zero trade flows cannot solve the distance puzzle when using HMR. The HMR estimates are strongly correlated with the time pattern in freight costs reported by Hummels (2007).     

Global Liquidity and Commodity Prices

While monetary easing and increasing participation of financial institutions in commodity trading have enhanced the financialization of commodity markets, this paper investigates empirically whether the impact of global liquidity on commodity prices has grown since the crisis. For each commodity group, this paper uses a structural vector autoregression (SVAR) model to address the short‐run relationship between global liquidity and commodity prices. The key finding is that the effect of global liquidity on commodity prices becomes more salient since the global financial crisis. This paper also suggests a price‐based liquidity indicator has a greater explanatory power for the commodity price dynamics than monetary aggregates.     

Water as an investment: liquid yet illiquid!

The water industry is in great need of further large investments to address existing severe water shortages worldwide which requires the participation of private sector investors. This industry is heavily infrastructure based and is therefore saddled with fixed assets-in-place or illiquid assets. This exposes the industry to what is termed as ‘illiquidity risk’, and hence, investors in this industry should be compensated for bearing this risk with an appropriate return premium (i.e. extra return). In this study, we provide evidence as to whether illiquidity risk indeed significantly affects returns in this industry. We examine the case of all 76 firms that compose the five major global water indices. After controlling for other factors that impact on returns, our results suggest that asset illiquidity is positively associated with stock returns. Specifically, water firms with a larger proportion of illiquid assets-in-place are observed to have greater stock returns than those with a smaller proportion of illiquid assets. Our results have important implications for the financing of water-related projects particularly those which involve the participation of investors from the private sector.     

A Sample Survey Based Linguistic MADM Method with Prospect Theory for Online Shopping Problems

In MADM problems, the attributes are often rated in linguistic variables, some researchers transform them into numerical values through some formulas. However, it might be inconsistent with real human thinking in some extent. In order to deal with such problems, a sample survey based MADM method with prospect theory is proposed. Firstly, through sampling survey, we collect the data in single point format corresponding to the words, and establish the codebook by mapping words into fuzzy sets, after that fuzzy operation rules are suitable for them. Secondly, based on the reference points, the gain and/or loss matrix is obtained, in accordance with the value function, the prospect value matrix is constructed. Finally, if the attributes are independent, the weighted prospect value of each alternative is computed, if the attributes are dependent, the Choquet integral based prospect value of each alternative is computed. The alternatives are ranked in descending order respect to the defuzzified values. The first alternative is chosen as the best decision result. The feasibility of the proposed method is illustrated through an application in online shopping problem from real life.     

The ethical profile of global marketing negotiators

As international trade and business opportunities grow globally, insight into trading partners’ strategies is essential. One of the major strategies that impact trading partners’ relationships is negotiation strategy employed by each partner. These strategies assume even greater importance when these strategies have ethical content. This study examines the effects of marketing executives’ preferred ethical ideologies (relativism and idealism), opportunism and Machiavellianism on their perceived appropriateness of unethical negotiation tactics. Utilizing a sample of 995 marketing executives from six countries, cluster analysis and multivariate analysis of variance revealed two types of marketing negotiators: principled and corrupt negotiators. Corrupt negotiators tend to be more Machiavellian, more relativist, more opportunistic and less idealistic than their principled counterparts. Principled negotiators tend to perceive unethical negotiation tactics less favorably than their corrupt counterparts. Implications of these results for practitioners and directions for future research are discussed.     

Online Customer Experience and Its Relationship to Repurchase Intention: An Empirical Case of Online Travel Agencies in China

The study reported here examines the relationship between flow experience and repurchase intention by focusing on the joint mediating effects of loyalty. Data were taken from a survey of shopping experiences, at online travel websites, of 325 customers in China. The results show that flow experience has a significant effect on repurchase attention. Moreover, interactive speed, skill, challenge, perceived control, telepresence, perceived usefulness, and perceived ease of use are positively related to flow experience. Lastly, the findings show that loyalty, to some extent, acts as a mediator between flow experience and repurchase attention.