Nonlinearities and Fractional Integration in the US Unemployment Rate*

This paper proposes a model of the US unemployment rate which accounts for both its asymmetry and its long memory. Our approach introduces fractional integration and nonlinearities simultaneously into the same framework, using a Lagrange multiplier procedure with a standard null‐limit distribution. The empirical results suggest that the US unemployment rate can be specified in terms of a fractionally integrated process, which interacts with some nonlinear functions of labour‐demand variables such as real oil prices and real interest rates. We also find evidence of a long‐memory component. Our results are consistent with a hysteresis model with path dependency rather than a non‐accelerating inflation rate of unemployment (NAIRU) model with an underlying unemployment equilibrium rate, thereby giving support to more activist stabilization policies. However, any suitable model should also include business cycle asymmetries, with implications for both forecasting and policy‐making.     

Why Pay Taxes When No One Else Does?

In this paper we try to understand the phenomenon whereby a large proportion of the population evades tax payments. We present a model which incorporates elements from the theory of information cascades with the standard model of tax evasion and analyze the connection between the decision of a potential tax evader, the number of tax evaders, and the number caught in previous periods. General conditions exist under which any expected utility maximizing potential tax evaders will decide to emulate other tax evaders.     

IS THERE AN ASYMMETRIC BEHAVIOUR IN AFRICAN INFLATION? A NON‐LINEAR APPROACH

In this paper we test the inflation persistence hypothesis as well as model the long‐run behaviour of inflation rates in a pool of African countries using a non‐linear framework. In order to do so, we rely on unit root tests applied to non‐linear models and fractional integration. The results show that the hypothesis of inflation persistence does not hold empirically for most of the countries. In addition, the estimated models (logistic smooth transition autoregressions) are stable in the sense that the variable tends to remain in the regime (low inflation or high inflation) once reached, and changes between regimes are only achieved after a shock. The results also indicate that the effects of the shocks on inflation tend to die out; exogenous factors, i.e. supply shocks and inertia may be causing this outcome, as they play a substantial role in the determination of the inflation rates for our selected African countries.     

Impact factor as a metric to assess journals where OM research is published

This paper investigates impact factor as a metric for ranking the quality of journal outlets for operations management (OM) research. We review all prior studies that assessed journal outlets for OM research and compare all previous OM journal quality rankings to rankings based on impact factors. We find that rankings based on impact factors that use data from different time periods are highly correlated and provide similar rankings of journals using either two-year or five-year assessment periods, either with or without self-citations. However, some individual journals have large rank changes using different impact factor specifications. We also find that OM journal rankings based on impact factors are only moderately correlated with journal quality rankings previously determined using other methods, and the agreement among these other methods in ranking the quality of OM journals is relatively modest. Thus, impact factor rankings alone are not a replacement for the assessment methods used in previous studies, but rather they evaluate OM journals from another perspective.     

The Border Effect in Spain

This paper analyses the border effect in Spain using a unique dataset on intranational trade flows over the period 1995–98. The results indicate that, after controlling for market size and distance, Spanish regions trade around 22 times more with the rest of Spain than they do with OECD countries. Moreover, the size of the Spanish bias is lower in the case of the Spanish regions’ exports than in the case of imports, although the difference is not statistically significant in most cases. Finally, the border effect is not uniform across Spanish regions.     

Antecedents to complaint behaviour in the context of restaurant goers

Abstract

This article deals with the process by which consumer complaint behaviour is formed. The general aim is to analyse the nature of this type of response to dissatisfaction, describing its development in terms of how it is influenced by a combination of several factors already researched in the literature. The most relevant contributions from the related theoretical work indicate that public and private responses (complaint behaviour) are the most common reactions of consumers when faced with a dissatisfactory experience. A group of determinants which influence these responses in different ways has also been identified. The main objective of this study is to analyse the relationship between the different determinants of complaint behaviour with the aim of identifying the variables which exert the greatest influence.     

Travel behavior of immigrants: An analysis of the 2001 National Household Transportation Survey

The purpose of this paper is to examine the relationships between travel behavior and immigrant status. The National Household Travel Survey (NHTS) allows us to explore the relationships between travel behavior and characteristics that are usually hard to discern in surveys with smaller samples. The correlation between travel behavior and immigrant characteristics such as place of birth and year of immigration in the US was tested while controlling for spatial and socio-demographic variables. The effects of place of birth and year of arriving to the US were found to be significant for some places of birth and for immigrants who entered the US in recent years. Understanding the differences in travel behavior and the possible explanations for these differences can help in modeling travel demand, finding policies best suited to meeting the travel needs of foreign-born communities, and addressing environmental justice concerns.     

One-sample tests for a generalized Fréchet variance of a fuzzy random variable

A procedure to test hypotheses about the population variance of a fuzzy random variable is analyzed. The procedure is based on the theory of UH-statistics. The variance is defined in terms of a general metric to quantify the variability of the fuzzy values about its (fuzzy) mean. An asymptotic one-sample test in a wide setting is developed and a bootstrap test, which is more suitable for small and moderate sample sizes, is also studied. Moreover, the power function of the asymptotic procedure through local alternatives is analyzed. Some simulations showing the empirical behavior and consistency of both tests are carried out. Finally, some illustrative examples of the practical application of the proposed tests are presented.