A variable threshold band approach to measuring market linkages

Uncertain and changing economic conditions can have substantial effects on price relationships in spatially separated, linked markets. Although numerous studies have analysed price relationships to characterize market linkage structures, most assume that the relationships and associated linkages are time invariant. This study extends the literature by modelling and estimating time-dependent market linkages that are conditional on changes in exogenous factors. The methodology is used to investigate price relationships in North Carolina (NC) corn and soya bean markets. Empirical results indicate that generalized market-linkage models provide a better representation of price relationships over time, improving the understanding of price discovery dynamics and marketing strategies.     

Macro-financial linkages and business cycles: A factor-augmented probit approach

In this paper, we analyze macro-financial linkages in the euro area by implementing an innovative factor-augmented probit model estimated using a large database. In particular, our model specification enables the identification of the leading influence of financial variables on euro area business cycles, in addition to the coincident information conveyed by standard macroeconomic variables. We also point out that dynamic factor models lead to more accurate replication of business cycles than static ones.     

The effects of multinationals on host economies: A CGE approach

This paper offers a new perspective regarding the effects on a host economy of the entry of multinational enterprises (MNEs). We use a computable general equilibrium (CGE) approach, through a version of the Global Trade Analysis Project (GTAP) model extended to incorporate MNEs. The analysis is applied to the Czech Republic, a country that has received substantial inflows of foreign direct investment in the last few years. A special attention has been paid to the issue of profit repatriation. We find that the negative effects of profit repatriation are sizeable, and might even offset the positive impact of the entry of MNEs.     

A state-contingent production approach to principal-agent problems with an application to point-source pollution control

Two basic representations of principal-agent relationships, the ‘state-space' and ‘parameterized distribution' formulations, have emerged. Although the state-space formulation appears more natural, analytical studies using this formulation have had limited success. This paper develops a state-space formulation of the moral-hazard problem using a general representation of production under uncertainty. A closed-form solution for the agency-cost problem is derived. Comparative-static results are deduced. Next we solve the principal's problem of selecting the optimal output given the agency-cost function. The analysis is applied to the problem of point-source pollution control.     

Microeconometric decompositions of aggregate variables: an application to labour informality in Argentina

This article illustrates the use of microeconometric decomposition techniques to characterize changes in aggregate variables. In particular, it studies the effect of changes in the employment structure on the labour informality rate for salaried workers in the greater Buenos Aires area (Argentina). To that aim it computes the difference between the informality rate at moment t and the rate that results from combining the population at moment t with the parameters estimated at moment t that link observable individual characteristics to the informality decision. The article concludes that the deep change of the employment structure in Argentina during the 1980s and the 1990s has had a significant but minor effect on the labour informality rate.     

Environmental taxes with heterogeneous consumers: an application to energy consumption in France

This paper constructs a model with four groups of households who have preferences over labor supply, consumption of polluting (energy related) and non-polluting (non-energy) goods, and emissions. It quantifies the model for the French economy and computes its optimal tax equilibria under nine second-best tax regimes. We find that the redistributive role of environmental taxes requires the polluting goods to be taxed at a rate much below their marginal social damage. These goods may even require an outright subsidy if the society values equality ‘a lot’. Secondly, if environmental taxes that have an exclusively externality-correcting role, they benefit all types—although the gains are rather modest. The gains and losses become more substantial when environmental taxes have a redistributive role as well. Third, setting the environmental tax at its Pigouvian level, rather than its optimal externality-correcting-cum-redistributive level, benefits the high-income group at the expense of the low-income groups. Fourth, nonlinear taxation of polluting goods, and nonlinear commodity taxation in general, is a powerful redistributive mechanism. Fifth, introducing environmental taxes in the current French tax system, with its suboptimal income taxes, results in substantial welfare gains for the highest income group and a sizable loss for the least well-off persons.     

Modelling the dynamics of corruption and unemployment with heterogeneous labour

This paper presents an endogenous growth model with heterogeneous labour, endogenous unemployment, and public sector corruption. Unlike most previous studies, the model does not separate public officials and private individuals into two distinct groups. Instead, taking up bureaucratic appointment as a public servant is modelled as an occupational choice, which then allows for the endogenous determination of the proportion of public officials, the share of corrupt officials among them, and the public investment efficiency of the economy. The dynamics of endogenous corruption and unemployment are studied using numerical policy experiments based on a stylized representation of a middle-income African economy with high corruption and unemployment. The main finding is that, large-scale public infrastructure push has no effect on raising growth in an economy with high corruption. However, if preceded by social and anti-corruption policies that successfully induce a structural change, it will then be effective in raising growth.     

A new approach to understanding labour supply of disabled people

The main interest of this article is to propose an individual utility maximization model to explain the low participation of disabled people. We account for heterogeneity of preferences and furthermore time of self-caring for disabled individuals is considered as an argument in the utility function. The hours of work decided by disabled individuals are neither homogeneous (they depend on unknown characteristics) nor continuous (discrete choice sets). We use data of 4790 households from the Spanish Survey of Disability, Personal Autonomy and Dependency and find association between time of informal care and labour participation and, consequently, the choice between jobs.     

Rational expectations for large CGE models: A practical algorithm and a policy application

We describe a simple iterative method for solving large dynamic CGE models under rational expectations. Details are given for Australia's MONASH model but the approach applies to a wide range of CGE models. The method is automated in the RunMONASH Windows software, putting CGE modelling under rational expectations within the reach of non-specialist modellers. We provide an illustrative application in which MONASH results under rational expectations are compared with results under static expectations. The application and supporting software can be downloaded. Results from the application are interpreted in terms of elementary economic mechanisms.     

Global commodity cycles and linkages: a FAVAR approach

In this article, we examine linkages across non-energy commodity price developments by means of a factor-augmented VAR model (FAVAR). From a set of non-energy commodity price series, we extract two factors, which we identify as common trends in metals and food prices. These factors are included in a FAVAR model together with selected macroeconomic variables, which have been associated with developments in commodity prices. Impulse response functions confirm that exchange rates and economic activity affect individual non-energy commodity prices, but we fail to find strong spillovers from oil to non-oil commodity prices or an impact of the interest rate. In addition, we find that individual commodity prices are affected by common trends captured by the food and metals factors.     

University/industry research linkages and knowledge transfers: A general equilibrium approach

This article models the dynamic behavior of the firm (or industry) and the university, intricately linked together in their respective research efforts by research personnel and faculty exchanges to each other's organization. One of the novel features of the model is the development of what is called the Fletcher rule (or hypothesis); namely, a top-rate university (or firm by implication) will always have 10% of its research faculty (personnel) away (at various sites) on leave from the campus (firm). It is then shown how the rule relates to knowledge transfer and personnel and faculty exchanges and turnovers. The model also differentiates between produced knowledge and transferred knowledge and shows that both types of knowledge (like capital) have implicit prices (values) which decline over time. The decline puts downward pressure over time on the employment and exchanges of research personnel and faculty. Both types of knowledge, however, can continue to increase at steady rates, due to an increase in the efficiency of knowledge production and transfer. The results of the analysis have policy implications for management, state legislators, and higher education and for technological change. The article also includes the empirical results of a small pilot study on the Fletcher rule.     

Identifying price linkages: a review of the literature and an application to the world market of cotton

This paper reviews the literature of price linkages and examines the degree to which cotton prices are linked; it also tests whether such linkages have improved over the last decade. It concludes that the degree of linkage has improved over the last decade while the main source of this improvement appears to be a result of short-run price transmission and to a lesser extent long-run co-movement.     

Disequilibrium models with rational expectations: An application to the UK labour market

This paper develops and estimates an explicit switching model for the U.K. labour market which includes expectations terms in the labour demand function. These expectations terms are dealt with by using the rational expectations hypothesis.     

The probability of multidimensional poverty: A new approach and an empirical application to EU-SILC data

This paper proposes a novel method to analyze multidimensional poverty by using a large set of feasible weights to summarize the information about the poor, which enables remaining agnostic about the relative importance given to different poverty dimensions. This method allows for the calculation of the individual probability of being poor in a multidimensional perspective. The distribution of individual probabilities can then be combined with Generalized Lorenz dominance techniques to derive unanimous consent for a wide class of social welfare functions with a minimum load of value judgments. The innovations proposed here allow to move from a dual definition of poverty, where poor and non-poor individuals are classified in a mutually exclusive context, to a continuous measure of deprivation capturing both the extensive and intensive margin of multidimensional poverty. The empirical application of the method consists of measuring multidimensional poverty in ten selected countries using four waves of EU-SILC data (2008–2014).     

Modelling the world wool market: A hybrid approach

We present a model of the world wool market that merges two modelling traditions: the partial-equilibrium commodity-specific approach and the computable-general-equilibrium approach. The model captures the multistage nature of the wool production system, and the heterogeneous nature of raw wool, processed wool and wool garments. It also captures the important wool producing and consuming regions of the world. We illustrate the utility of the model by estimating the effects of tariff barriers on wool products using partial- and general-equilibrium solutions. We find that either solution generates similar wool industry results, whereas the macroeconomic effects differ significantly with the partial-equilibrium estimates significantly overestimating the benefits of the tariff changes.     

A nonlinear approach to testing the unit root null hypothesis: an application to international health expenditures

In this article, we examine the unit root null hypothesis for per capita total Health Expenditures (HEs), per capita private HEs and per capita public HEs for 29 Organization for Economic Co-operation and Development (OECD) countries. The novelty of our work is that we use a new nonlinear unit root test that allows for one structural break in the data series. We find that for around 45% of the countries, we are able to reject the unit root hypothesis for each of the three HE series. Moreover, using Monte Carlo simulations, we show that our proposed unit root model has better size and power properties than the widely used Augmented Dickey–Fuller (ADF) and Lagrange Multiplier (LM) type tests.