Evaluating the economy embedded in the Brazilian ethanol–gasoline flex-fuel car: a Real Options approach

The introduction of the flex-fuel cars in the Brazilian market in 2003 changed considerably the consumer decision-making process. Prior to this date, it was necessary to choose the automobile type only by gasoline or by ethanol fuel; today it is possible to choose a car type with both fuel options. This flexibility generates economic advantages for his owner, but what are the financial benefits of a flex-fuel car in comparison with a car using only gasoline? Geographically, where is the owner of the benefits from this flexibility located? This article presents an empirical application of the Real Options Theory in the analysis of the flex-fuel car option for five geographic Brazilian regions: Northern, Northeastern, Central-Western, Southeastern and Southern. The regional price differences as well as the consumer preferences of these regions were met. For this purpose, historical fuel prices were considered stochastic and following a Mean Reverting Stochastic process. The prediction and option values were generated by a Monte Carlo simulation. The results indicated that the option embedded on the Brazilian flex-fuel car adds considerable value to the owner in all regions and car models considered, with the Southeastern Region receiving most benefits by the flex option.     

Unit root testing against an ST–MTAR alternative: finite-sample properties and an application to the UK housing market

A class of smooth transition momentum-threshold autoregressive (ST–MTAR) tests is proposed to allow testing of the unit root hypothesis against an alternative of asymmetric adjustment about a smooth nonlinear trend. Monte-Carlo simulation is employed to derive finite-sample critical values for the proposed test and illustrate its attractive power properties against a range of stationary alternatives. The empirical relevance of the ST–MTAR test is highlighted via an application to aggregate house price data for the UK. Interestingly, house prices are found to exhibit structural change characterized a fitted logistic smooth transition process, with the newly proposed ST–MTAR test providing the most significant results of the alternative smooth transition unit root tests available.     

Forecasting with leading indicators: Does the new index lead?

There are very few economic variables that capture as much public attention as the Composite Index of Leading Indicators (CLI). Designed as an early warning system for signaling recessions and recoveries in business cycles, CLI now has significant influence over the expectations of decision makers and market participants. Since its inception in 1938, the index has undergone many revisions, the last of which took effect in March 1989. In this study we evaluate the new index. A number of filters, including the Bayesian sequential probability recursion and the rule of three consecutive declines in CLI, are used to evaluate the information content of CLI in forecasting the turning points in the economy. We also report the result of our forecasting experiment to gauge the marginal value of the new index to improve forecasts of variables such as the unemployment rate, index of industrial production, GNP, sales, profit, consumption and housing starts.     

Russian agriculture during Putin’s fourth term: a SWOT analysis

Russian agriculture is coming off a successful period under Minister Alexander Tkachev. Despite his successes, new agricultural leaders were named in May 2018 to guide agriculture during Putin’s fourth term. The article analyses the condition of and prospects for the agricultural sector during 2018–2024, using a SWOT framework (strengths, weaknesses, opportunities and threats). The analysis examines four strengths, six weaknesses, four opportunities and three threats.     

Investment–productivity dynamics and distribution dynamics in a multisector economy: some theory and an application to Italian regions

In this paper, we study the investment–productivity dynamics in the Framework Space, presented by Böhm and Punzo [Cycles, Growth and Structural Change, Routledge, London (2001) 47], as the distribution dynamics of the production sectors of an economy. We apply such theoretical framework to data from Italian regions to identify differences in sectoral behaviors both within and across regions. Our main findings are: sectors within a region generally follow different regime dynamics; Southern Italian regions are generally characterized by higher degrees of heterogeneity in sectoral growth behaviors and of regime instability. Also, we find support to the hypothesis of a positive relation between this type of instability and unemployment, as argued by the Neo-Austrian theory of structural dynamics.     

Heterogeneity in dentists’ activity in Taiwan: an application of quantile regression

The purpose of this paper is to provide new evidence on heterogeneity in dentists’ activity. The heterogeneity is of particular importance because dentists’ responses are likely to differ widely from high to low activity dentists. Quantile regressions provide an alternative and useful method to investigate the differential responses of dentists to various observable explanatory variables. The results reject the null hypothesis of homoskedasticity of individual dentists’ responses. It is shown that time trends for dentists at higher quantiles have greater fluctuations than those at lower quantiles. The clinic–hospital gap in activity at higher quantiles is greater than at low quantiles. Clinic dentists at higher quantiles have much higher numbers of visits and numbers of treatments than those at lower quantiles, but they provide less intensity of care. Dentists in deprived areas have higher activity than those in non-deprived areas, only when they are located at higher quantiles. The results may help policy makers to focus on responsive targets in order to improve the effectiveness of their recent policy of global budgeting.

The role of uncertainty in the euro crisis – an application of liquidity preference theory

The world financial crisis triggered a rediscovery of the active role fiscal policy can play as a remedy in such situations. During the euro crisis, escalating funding costs in a number of southern eurozone member states and Ireland have called this strategy into question. One interpretation of the euro crisis concentrated on the public debt trends in those countries. Opposing this view, the main point of this contribution is to elaborate the link between rising interest rates on sovereign bonds in the euro crisis and a major feature of the financial crisis – a subdued degree of investor confidence after the Lehman collapse. Theoretically, this link is developed with reference to Keynes’ liquidity preference theory. The high explanatory power of measures for the degree of confidence in financial markets as well as detrimental effects of fiscal austerity on the evolution of sovereign yield spreads are demonstrated empirically by means of panel regressions and supplementary correlation analyses.     

Gini’s transvariation analysis: an application on financial crises in developing countries

The damage and the recurrence of financial crises have increased the concern of investors and policymakers on one hand and the interest of macroeconomists on the other. This paper presents an original non parametric methodology, whose aim is to give a very intuitive and rigorous method for variable selection in order to analyse financial crises. Transvariation analysis compares the distributions of two different groups of countries (sound and distressed) with respect to a single macroeconomic variable and selects the indicators on the basis of a low transvariation probability index. The current account deficit to GDP ratio, differently from other studies on financial crises, seems to be a suitable variable in discriminating distressed countries from sound ones, and the case of Argentina and Turkey confirms this finding.     

Learning through games? Evaluating the learning effect of a policy exercise on European climate policy

One of the arguments for the use of simulation-gaming approaches in policy appraisal has consistently been their potential to stimulate learning. Yet few studies seek to ascertain the learning effects of these methods in a systematic manner; on the whole, participants' learning from interactive appraisal processes remains both under-conceptualised and under-evaluated. This paper seeks to contribute to filling this gap by developing a typology of learning effects (cognitive, relational, and normative) that can be expected from policy games. We subsequently present a set of tools for measuring them and test our approach on the case of a policy exercise on burden sharing in future European climate policy involving policy-makers and experts.On the basis of our measurements, we found limited evidence for learning from the policy exercise, mostly in the cognitive and the relational domain. In this context, the use of concept maps is an interesting methodological innovation. Employed as pre- and post-measurements, they proved a useful tool for tracing conceptual change through the exercise among participants. The paper concludes with a plea for more systematic assessment of the learning effects of interactive appraisal exercises, with a view to enabling a deeper discussion on the benefits and limitations of these methods.     

R&D efficiency and heterogeneity – a latent class application for the OECD

Expenditures devoted to research and development (R&D) are scarce and thus need to be used as efficiently as possible given the financial constraints countries are facing. This article assesses the relative efficiency of R&D expenditures for 26 OECD member countries and two nonmember countries. As countries differ in their national innovation systems and states of economic development and industrialization, e.g. transition economies in Eastern Europe versus Asian countries versus Anglo-Saxon countries, the measurement of R&D efficiency needs to consider differences in the technology of knowledge production. By means of a latent class model for stochastic frontiers, we relax the assumption of a homogeneous technology frontier and model technological differences in knowledge production among countries. Empirical evidence suggests the existence of different classes stressing the importance of accounting for countries’ disparities within R&D efficiency analysis.     

Where can obesity management policy make the largest impact? Evaluating sub-populations through a microsimulation approach

Background: There is a critical need to focus limited resources on sub-groups of patients with obesity where we expect the largest return on investment. This paper identifies patient sub-groups where an investment may result in larger positive economic and health outcomes.

Methods: The baseline population with obesity was derived from a public survey database and divided into sub-populations defined by demographics and disease status. In 2016, a validated model was used to simulate the incidence of diabetes, absenteeism, and direct medical cost in five care settings. Research findings were derived from the difference in population outcomes with and without weight loss over 15 years. Modeled weight loss scenarios included initial 5% or 12% reduction in body mass index followed by a gradual weight regain. Additional simulations were conducted to show alternative outcomes from different time courses and maintenance scenarios.

Results: Univariate analyses showed that age 45–64, pre-diabetes, female, or obesity class III are independently predictive of larger savings. After considering the correlation between these factors, multivariate analyses projected young females with obesity class I as the optimal sub-group to control obesity-related medical expenditures. In contrast, the population aged 20–35 with obesity class III will yield the best health outcomes. Also, the sub-group aged 45–54 with obesity class I will produce the biggest productivity improvement. Each additional year of weight loss maintained showed increased financial benefits.

Conclusions: This paper studied the heterogeneity between many sub-populations affected by obesity and recommended different priorities for decision-makers in economic, productivity, and health realms.     

Crypto-currency bubbles: an application of the Phillips–Shi–Yu (2013) methodology on Mt. Gox bitcoin prices

The creation of bitcoin heralded the arrival of digital or crypto-currency and has been regarded as a phenomenon. Since its introduction, it has experienced a meteoric rise in price and rapid growth accompanied by huge volatility swings, and also attracted plenty of controversies which even involved law enforcement agencies. Hence, claims abound that bitcoin has been characterized by bubbles ready to burst any time (e.g. the recent collapse of bitcoin’s biggest exchange, Mt Gox). This has earned plenty of coverage in the media but surprisingly not in the academic literature. We therefore fill this knowledge gap. We conduct an econometric investigation of the existence of bubbles in the bitcoin market based on a recently developed technique that is robust in detecting bubbles – that of Phillips et al. (2013a). Over the period 2010–2014, we detected a number of short-lived bubbles; most importantly, we found three huge bubbles in the latter part of the period 2011–2013 lasting from 66 to 106 days, with the last and biggest one being the one that ‘broke the camel’s back’ – the demise of the Mt Gox exchange.     

Estimation of the value of the marginal product of emission in a country where emissions output is regulated — an empirical study

Emissions resulting from the production process can be characterized as use of the elimination and disposal services of the ecological system. Hence, they are use of natural resources and thus an input to production. The present paper discusses an approach to evaluate the returns of these kind of services as a production factor.First, four main types of industrial emission are chosen —SO ₂,CO ₂,NO _xandparticulate matter — and integrated in a Cobb-Douglas production function. With this approach, the production elasticities and the marginal product of these types of emission can be estimated.Based on these results and assuming that marginal product equals price, the demand curve for emission is estimated. With this demand curve the consequences of different kinds of environmental policy are considered. Under further assumptions of optimal behaviour it can be shown that the demand curve for emission is equal to the curve of marginal costs of avoidance (MCA). Thus, the estimates of the demand curves can be considered as estimates of the MCA-curves. Furthermore the price elasticities of these four types of emission are estimated with this approach. The method used in the paper is suggested for calibration of CGE models.     

Regional analysis and sustainable development： Application of a synthetic sustainability indicator to Galicia and the European Union

In general, investigations carried out to date regarding/measuring systems/systems of measurement of sustainable development present two peculiarities： Either they are of a limited practical nature or they do not allow for comparisons between different areas or economies. Global synthetic indicators are an exception to the above; however they have been scarcely developed. This article designs an index of said characteristics, which is subsequently applied to all the countries within the European Union and to the region of Galicia.     

The empirical application of a small open economy model: Greece 1954–81

A small macroeconometric model designed to analyse the major macroeconomic aggregates in the open economy of Greece is presented. The specification of the model is based on the assumptions of the ‘Monetary Approach to the Balance of Payments and Exchange Rate determination’. Also, it contains an Expectations Augmented Phillips Curve and consists of seven equations. The empirical findings suggest that for the period 1954–81, the Greek economy did not behave consisently with the particular theoretical or other persuasion model. However, the empirical model tracks reasonbly well the historical values of the endogenous variables and it captures the cyclical behaviour of the economy. The evidence suggests that monetary policy had no significant influence on output growth with its role being confined on determining the balance of payments. On the contrary, fiscal policy played a dominant role in output determination and prices variation.