Modified CADF and CIPS Panel Unit Root Statistics with Standard Chi‐squared and Normal Limiting Distributions

In an influential paper Pesaran (‘A simple panel unit root test in presence of cross‐section dependence’, Journal of Applied Econometrics, Vol. 22, pp. 265–312, 2007) proposes two unit root tests for panels with a common factor structure. These are the CADF and CIPS test statistics, which are amongst the most popular test statistics in the literature. One feature of these statistics is that their limiting distributions are highly non‐standard, making for relatively complicated implementation. In this paper, we take this feature as our starting point to develop modified CADF and CIPS test statistics that support standard chi‐squared and normal inference.     

Growth, development and natural resources: New evidence using a heterogeneous panel analysis

This paper explores whether natural resource abundance is a curse or a blessing. To do so, we firstly develop a theory consistent econometric model, in which we show that there is a long run relationship between real income, the investment rate, and the real value of oil production. Secondly, we investigate the long-run (level) impacts of natural resource abundance on domestic output as well as the short-run (growth) effects. Thirdly, we explicitly recognize that there is a substantial cross-sectional dependence and cross-country heterogeneity in our sample, which covers 53 oil exporting and importing countries with very different historical and institutional backgrounds, and adopt the non-stationary panel methodologies developed by Pesaran (2006) and Pedroni (2000) for estimation. Our results, using the real value of oil production, rent or reserves as a proxy for resource endowment, reveal that oil abundance has a positive effect on both income levels and economic growth. While we accept that oil rich countries could benefit more from their natural wealth by adopting growth and welfare enhancing policies and institutions, we challenge the common view that oil abundance affects economic growth negatively.     

Inflation and the Income Share of the Rich: Evidence for 14 OECD Countries

This paper examines the distributional implications of inflation on top income shares in 14 advanced economies using data over the period 1920–2016. We use local projections to analyze how top income shares respond to an inflation shock, and panel regressions in which all variables are defined as 5-year averages to examine the impact of inflation on the position of the top-one-percent in the long run. Our findings suggest that inflation reduces the share of national income held by the top 1 percent. Furthermore, we find that inflation shocks and long-run inflation have similar effects on top income shares.     

A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search

The job-shop scheduling problem is one of the most arduous combinatorial optimization problems. Flexible job-shop problem is an extension of the job-shop problem that allows an operation to be processed by any machine from a given set along different routes. This paper present a new approach based on a hybridization of the particle swarm and local search algorithm to solve the multi-objective flexible job-shop scheduling problem. The particle swarm optimization is a highly efficient and a new evolutionary computation technique inspired by birds’ flight and communication behaviors. The multi-objective particle swarm algorithm is applied to the flexible job-shop scheduling problem based on priority. Also the presented approach will be evaluated for their efficiency against the results reported for similar algorithms (weighted summation of objectives and Pareto approaches). The results indicate that the proposed algorithm satisfactorily captures the multi-objective flexible job-shop problem and competes well with similar approaches.     

Testing the Olson Hypothesis within the Australian Context

This article seeks to empirically test whether the Olson hypothesis is applicable in the Australian context. Both cointegration and regression analyses which are utilised for this purpose provide strong support for this hypothesis; that is, the existence of a statistically significant negative relationship between import protection and the proportion of manufactured goods exported. More specifically, it is revealed that falling levels of import protection have underpinned an increase in the proportion of manufacturing goods exported and hence assisted in improving the manufacturing sector's export orientation in the period 1980:1–1996:2. A particularly important dimension of the empirical results is the strengthening of this relationship in the more recent years to 1996:2. This phenomenon probably indicates the favourable impact of the accumulated reduction in the protection levels since the early 1970s.     

Information Collection Strategic Design in Experts-assisted Decision Making Paradigm

In an experts-assisted decision making paradigm, the information collection design becomes a strategic variable under a weak assumption that the final decision is dependent on the design used to collect information as well. As a result, the same information of the experts and the decision maker about the problem can potentially produce different final decisions for different information collection designs. The implication is that a decision maker can strategically select a design which serves his/her objective. This paper uses a Bayesian estimation methodology for combining experts' information with the decision maker's prior. An information collection process is designed by setting constraints on this model. Several designs are developed here using such controlled factors as a one-stage versus a two-stage decision process, experts' rank ordering, and group versus individual lobbying/consultation. An example is provided to illustrate the applicability of the concept. It is shown that the information produced in the process of producing a decision can also give insights into the impacts of the decision maker and the experts on the decision.     

Consumer reactions to crowded retail settings: Cross‐cultural differences between North America and the Middle East

Most of the research dealing with consumer–consumer interactions emphasizes the negative consequences of sharing the service experience with other consumers. Crowding, in particular, represents one of the important environmental factors affecting consumers' retail experience. However, recent studies in the context of hedonic services (e.g., amusement parks, concerts, etc.) have mentioned that crowds may potentially enhance consumers' service experience. The present study aims at demonstrating the presence of these positive consumer responses in a crowded hedonic situation, while investigating the influence of cultural differences in crowd‐related issues. With the use of consumers from different cultures (North America and the Middle East), reactions to similarly crowded situations in a hedonic situation are compared. Results suggest that Middle Eastern respondents perceive both a lower level of density and appreciate crowded situations more than their North American counterparts. Potential explanations are discussed. © 2006 Wiley Periodicals, Inc.     

Impacts of LCC growth on domestic traffic and fares at largest US airports

This paper examines the evolution of domestic origin-destination air traffic and fares at the top 200 airports in the US between 1990 and 2008, with a focus on the impacts of low-cost carrier entry and growth. By 2008, 95 of the airports had an aggregate low-cost carrier market share of domestic traffic greater than 20%, up from 27 airports in 1990. Their entry or substantial growth at US airports has had significant impacts on lowering average fares and stimulating passenger volumes. This market stimulation effect has, however, diminished in recent years, as the difference in average fares between carrier types has narrowed and as the number of additional US domestic origin-destination markets able to support their entry has dwindled.     

Banking distress in MENA countries and the role of mergers as a strategic policy to resolve distress

This paper studies banking distress in MENA countries and considers the extent to which mergers are used as a solution for resolving individual banking distress. We use a two-level nested logit model to model the interdependence between merger decisions and the distressed state of banks. Both bank-specific variables and macroeconomic variables are deployed to predict banking distress. In line with other recent papers, we challenge the view that specific bank indicators such as CAMEL category and bank size are more significant determinants of banking distress than macroeconomic variables. A comparison of model fits and out-of-sample forecasts indicates that the unordered NL model statistically outperforms a standard logit model by substantial margins. Our empirical study shows that 67% of the distressed banks in our sample are involved in merger transactions and that weak financial status systematically increases the likelihood of a bank being involved in a merger. Distressed state-owned banks are less likely to be a target of a merger transaction. However, global economic conditions do not significantly affect the decision of distressed banks to initiate a merger policy.