Socio-demographics,political attitudes and informal sector employment: A cross-country analysis

In this paper, we empirically investigate the relationship between informal sector employment and micro-level socio-demographic characteristics, political acts and attitudes, and individual norms. Using self-reported individual micro-level data from the World Values Survey for seven developing countries (China, Ecuador, Egypt, Mexico, Peru, South Africa and Yemen), our cross-country regressions and principal component analysis reveal that socio-demographic characteristics of individuals are strong predictors of their informal sector employment. Our estimations further document that individual preferences for an economically strong, interventionist and egalitarian state and confidence in state and political institutions are positively and significantly correlated with informal sector employment, whereas variables associated with confidence in free market institutions and support for competition are negatively and significantly correlated with informal sector employment. We also show that individuals who participate either actively or inactively in peaceful and lawful political processes are significantly less likely to work in the informal sector. Finally, we document that individual norms, such as religiosity and tax morale, are negatively correlated with informal sector employment. Throughout our analysis, instead of having to rely on ad-hoc informality categorizations of third parties, we base our measurement of informal sector employment directly on the self-evaluation of individuals, who have the best information on the degree of their informality.     

Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks

Environmental awareness and legislative pressures have made manufacturers responsible for the take-back and end-of-life treatment of their products. To competitively exploit these products, one option is to incorporate used components in “new” or remanufactured products. However, this option is partly limited by a firm's ability to assess the reliability of used components. A comprehensive two-step approach is proposed. The first stage phase statistically analyzes the behavior of components for reuse. A well-known reliability assessment method, the Weibull analysis, is applied to the time-to-failure data to assess the mean life of components. In the second phase, the degradation and condition monitoring data are analyzed by developing an artificial neural network (ANN) model. The advantages of this approach over traditional approaches employing multiple regression analysis are highlighted with empirical data from a consumer product. Finally, the Weibull analysis and the ANN model are then integrated to assess the remaining useful life of components for reuse. This is a critical advance in sustainable management of supply chains since it allows for a better understanding of not only service requirements of product, but the remaining life in a product and hence its suitability for reuse or remanufacture. Future work should assess: (1) reduction in downtime of process equipment through the implementation of this technique as a means to better manage preventative maintenance; (2) reduce field failure of remanufactured product; (3) selling-service strategy through implementation of the proposed methodology.     

The Exchange Rate and Inflation in the UK

The United Kingdom is a highly open economy, and has a monetary policy strategy of targeting inflation in consumer prices. In this paper, we look at the evidence from the UK on inflation behaviour, and examine the propositions from several theoretical models about inflation dynamics in an open economy, focusing in particular on the hypothesized connections between the exchange rate and consumer price inflation. Theoretical open‐economy macroeconomic models ‘cover the waterfront’ on this issue, ranging from ‘exchange rate disconnect’ to a rigid link between nominal exchange rate changes and inflation. We estimate on UK data the open‐economy Phillips curves implied by the alternative explanations. We argue that, of the alternatives considered, only a model where imports are modelled as an intermediate good, as in McCallum and Nelson (1999) , provides a reasonable match with the data. Unlike the standard model, in which imports are treated as a final consumer good, the intermediate‐goods specification provides support for a policy of CPI inflation targeting.     

Implementation of college admission rules

Summary We consider both Nash and strong Nash implementation of various matching rules for college admissions problems. We show that all such rules are supersolutions of the stable rule. Among these rules the lower bound stable rule is implementable in both senses. The upper bound Pareto and individually rational rule is strong Nash implementable yet it is not Nash implementable. Two corollaries of interest are the stable rule is the minimal (Nash or strong Nash) implementable solution that is Pareto optimal and individually rational, and the stable rule is the minimal (Nash or strong Nash) implementable extension of any of its subsolutions.We wish to thank Professor William Thomson for his efforts in supervision as well as his useful suggestions. We are grateful to the participants in his reading class, workshops at Bilkent University, University of Rochester, and in particular Jeffrey Banks, Stephen Ching, Bhaskar Dutta, Rangarajan Sundaram and an anonymous referee for their helpful comments.     

Determinants of cross-border merger premia

Firms have a broad range of rationales for engaging in cross-border mergers and other forms of foreign direct investment (FDI); while some companies are in search of the cost advantages provided by foreign resources, other firms are primarily interested in gaining access to new markets. Although a significant amount of research has explored the patterns of FDI, little work has been done to assess what influences the value of cross-border mergers and, in particular, what determines why some cross-border mergers are expected to result in higher synergies when compared to others. This paper explores what characteristics of a merger are expected to increase the synergies that a firm will accrue from a cross-border merger by testing how a variety of factors impact the premia paid to effectuate a cross-border merger. We find that firms are willing to pay a higher premium to obtain greater control over foreign firms, and that this control is even more important in mergers involving firms in emerging markets. We also find that the factors affecting deal premia in cross-border mergers differ based on whether the acquirer has a high or low intangible asset intensity level.     

Skill-biased technological change and homeownership

In the United States, the residential housing market went through important changes over the period from the 1970s to the mid-1990s. Although the aggregate homeownership rate was relatively stable during that period, the distribution of homeownership rates by age changed in remarkable ways. While younger households saw substantial declines in homeownership rates, the opposite happened for older households. In this paper, we argue that the skill-biased technological change (SBTC) that began during the 1970s has been an important factor behind the observed change in the distribution of homeownership rates by age. We build a life cycle model in which skills are accumulated on-the-job through experience: learning by doing. Early in life, households have lower levels of skills and therefore lower earnings. SBTC increases the returns to skill, widening the wage gap between young and old ages. As a consequence, it takes more time for young households to become homeowners given frictions in financial markets (e.g. downpayment requirements) and housing markets (e.g. large and indivisible houses), in line with consumption smoothing behavior. On the other hand, older households that could not afford a house before may now become homeowners, given higher returns to skill. Our analysis confirms this conjecture, namely, that SBTC shifts the distribution of homeownership from the young to the old.     

Contract length heterogeneity and the persistence of monetary shocks in a dynamic generalized Taylor economy

We develop the generalized Taylor economy (GTE) in which there are many sectors with overlapping contracts of different lengths. In economies with the same average contract length, monetary shocks will be more persistent when longer contracts are present. Using the Bils–Klenow distribution of contract lengths, we find that the corresponding GTE tracks the U.S. data well. When we choose a GTE with the same distribution of completed contract lengths as the Calvo, the economies behave in a similar manner.     

Turbulence in growing and declining industries

Turbulence over the industry life cycle is examined for the case of Portugal using the lowest possible level of industry aggregation, thus allowing for the use of panel data to study the evolution of product markets. Replacement of exiting firms by subsequent entrants plays a primary role in generating turbulence in high growth markets, while displacement of incumbents by recent entrants is the main selection force in declining markets. As the industry life cycle progresses, trial-and-error entry and entry mistakes decrease, and turbulence subsides.     

TAXES,REGULATIONS AND THE CORPORATE DEBT MARKET*

Outstanding credit market debt in the U.S. corporate sector increased dramatically over the second half of the 20th century. During this period, tax rates on dividend distributions and corporate income decreased. This article argues that the observed decline in dividend and corporate income tax rates generated an improvement in the collateral value of corporate assets and led to an increase in U.S. corporate debt. To analyze this conjecture, we build a general equilibrium model with enforcement constraints that induce endogenous limits on debt financing. We find that the model can account for the time‐series features of U.S. corporate debt data.     

An Examination of Entry and Competitive Performance in Rural Banking Markets

This article explores the change in the level of competition in rural banking markets after the deregulation that occurred following passage of the Riegle‐Neal Act of 1994. Using an empirical model that utilizes both the number of banks and the value of deposits in a cross‐section of 278 rural markets, we decompose the impact of the entry of new banks into resulting changes in per capita demand and the costs/profits of local banks in 1994 and 2004. The results support the view that local banking markets have become more competitive since the mid‐1990s.