Modelling the risk–return relation for the S&P 100: The role of VIX

A significantly positive risk–return relation for the S&P 100 market index is detected if the implied volatility index (VIX) is allowed for as an exogenous variable in the conditional variance equation. This result holds for 4 alternative GARCH specifications, irrespective of the conditional distribution, and regardless of whether the conditional mean equation includes a constant term. This finding is robust to sub-samples, and to using VIX innovations to control for dividend yield and trading volume effects. Monte Carlo evidence suggests that if VIX is not included, the risk–return relation is more likely to be negative or weak, in line with several previous studies. If VIX is included, the distribution of the risk–return parameter has more than 99% of its mass in the area of positive values. We conclude that VIX carries important forward-looking information which improves the precision of the conditional variance estimation and, subsequently, reveals a significantly positive relation.     

Are more risk averse agents more optimistic? Insights from a rational expectations model

We analyse a model of partially revealing, rational expectations equilibrium with diverse information, endogenous beliefs formation and uncertain distribution of risk aversion. More risk averse agents are then more optimistic. Such a positive correlation is important for collective decision analysis.     

Should a central bank react to food inflation? Evidence from an estimated model for Chile

We examine whether food price shocks are a major source of macroeconomic fluctuations. We estimate a small open economy DSGE model using an alternative Taylor rule applied to Chilean data. The empirical evidence suggests that food inflation played a non-trivial role in shaping Chile's de facto monetary policy actions. Consistent with its commitment to price stability, the central bank increases the policy rate in reaction to food inflation. Despite an immediate monetary policy reaction to a food price shock, the policy rate gradually tapers off. This is due to a second-round effect on non-food inflation propagated by the food price shock. A main finding is that monetary policy that targets headline inflation is welfare improving.     

Has M2 demand in the USA become unstable? evidence from an error-correction model

The purpose of this paper is to estimate an appropriate broad-money demand function for the United States and to examine its stability after 1987, when the Federal Reserve System began using M2 as a policy guide. Special attention is paid to the model specification, its dynamic structure, and to its cointegration properties. The results from various dynamic error-correction models suggest that: (i) the money demand relationship is stable; (ii) most previously estimated models have undoubtedly misspecified the interest rate variable; (iii) interest-rate variability is another important determinant of real money demand; and (iv) in contrast of previous studies, the long-run scale variable is real GDP, whereas real consumer spending is the short-run scale variable. The sample period examined is 1953:1 to 1991:4.     

Can a brain drain be good for growth in the source economy?

"This paper analyzes the interaction between income distribution, human capital accumulation and migration. It shows that when migration is not a certainty, a brain drain may increase average productivity and equality in the source economy even though average productivity is a positive function of past average levels of human capital in an economy. It is also shown how the temporary possibility of emigration may permanently increase the average level of productivity of an economy."     

Can privatization be a catalyst for environmental R&D and result in a cleaner environment?

In this paper we explore whether privatization helps to catalyze a firm's environmental research and development (ER&D) and improve environmental quality. By defining ER&D as the effort undertaken by a firm to reduce its pollution per unit of output, we find in a duopoly framework that privatization cannot catalyze both public and private firms’ ER&D efforts simultaneously; it can increase one but decrease the other firm's investment, or it may even lower both firms’ ER&D investments. Moreover, when production causes severe environmental damage, or the imposition of environmental taxes poorly internalize the pollution externality, privatization may result in a poorer environment. For the sake of having a cleaner environment, policy-makers can impose higher environmental taxes on a highly polluting industry when it is being privatized.     

Non-uniformity of job-matching in a transition economy – A nonparametric analysis for the Czech Republic

This study explores the properties and development of the matching technology in the Czech Republic during the transition to a market economy. Nonparametric additive modelling allows us to assess flexible functional forms, which comprise for instance CES and trans-log specifications. This enables us to evaluate the matching process locally for each combination of unemployment and vacancies rather than being restricted to global coefficients. Special interest is devoted to analysis and economic determinants of regional variation in the returns to scale of the matching function. Non-linearities are found in the partial adjustment process of unemployment outflows, and a negative coefficient on vacancies in some years. Moreover, increasing returns to scale in job-matching are found locally. Returns to scale are found to be negatively correlated to the share in employment in services and to outmigration, positively correlated to the employment share in industry, the unemployment rate and various measures of active labour market policies.     

Is there a role for uncertainty in forecasting output growth in OECD countries? Evidence from a time-varying parameter-panel vector autoregressive model

This paper uses a time-varying parameter-panel vector autoregressive (TVP-PVAR) model to analyze the role played by domestic and US news-based measures of uncertainty in forecasting the growth of industrial production of 12 Organisation for Economic Co-operation and Development (OECD) countries. Based on a monthly out-of-sample period of 2009:06 to 2017:05, given an in-sample of 2003:03 to 2009:05, there are only 46% of cases where domestic uncertainty can improve the forecast of output growth relative to a baseline monetary TVP-PVAR model, which includes inflation, interest rate and nominal exchange rate growth, besides output growth. Moreover, including US uncertainty does not necessarily improve the forecasting performance of output growth from the TVP-PVAR model which includes only the domestic uncertainty along with the baseline variables. So, in general, while uncertainty is important in predicting the future path of output growth in the 12 advanced economies considered, a forecaster can do better in majority of the instances by just considering the information from standard macroeconomic variables.     

Ukraine's unconsidered losses from the annexation of Crimea: What should we account for in the DCFTA forecasts?

In March 2014 Crimea unilaterally declared its independence from Ukraine and joined the Russian Federation. The separation of a part of a state's territory and economy is an interesting matter to examine. The economy of Ukraine has not only shrunk, but also changed its structure as Crimea had a quite distinct production pattern compared to the rest of Ukraine. Moreover, policy measures initialized before the separation may have different effects once applied only to a part of the former economy. This paper proposes a strategy to model the separation of part of an economy and its inclusion into another country and applies this strategy to the case of Crimea, Ukraine, and Russia. Having constructed a model for the new geographical and economic situation, we reinvestigate the possible effects of a Deep and Comprehensive Free Trade Agreement between Ukraine and the EU and compare the results for the situation with Crimea as part of Ukraine. We find that the annexation of Crimea leads to severe economic losses for Ukraine which are partly overproportional compared to Crimea's economic size. These negative effects can be compensated by implementing the DCFTA with the EU as we also show in our model results.     

Competition in the traditional sector does not matter for the ‘Core–Periphery’ model

We modify Paul Krugman’s (1991) ‘Core–Periphery’ model by replacing the traditional competitive sector with a monopolistically competitive one. We show that the structure of spatial equilibria remains the same as in the original model. This result continues to hold true under Cournot or Bertrand oligopolistic competition with free entry in the traditional sector. The key factor that explains why the nature of competition in the traditional sector does not matter for the spatial equilibria is constant expenditure shares–due to nested Cobb–Douglas and CES preferences–which imply that trade in the traditional sector is independent from its sectoral characteristics.     

Does the educational management model matter? New evidence from a quasiexperimental approach

A growing literature has appeared in the last 2 decades with the aim to explore if the way in which publicly funded private schools are managed (a ver     

What can we learn from a large border effect in developing countries?

Failure of the law of one price (LOP) in the short run is an empirical regularity. Recent research, using disaggregated price data for different cities across an international boundary, has shown that the variation of the prices in equidistant cities located in two different countries is systematically larger than that for the cities within the same country. Nontariff barriers and exchange rate variability are cited as the proximate causes of this systematic difference in consumer price variability. Results using data from developing countries with large nontariff barriers and more volatile exchange rate suggest that those claims are overemphasized.     

Are children an incentive or a disincentive for migration? Evidence from Vietnam

This study analyzes the influence of children on household migration decisions using data on current internal movement in Vietnam a country that has experienced significant rural–urban migration in the recent years. Families with children usually have three migration choices: move together, stay together or send only one parent to work afar. Using an instrumental variable approach, we show that having an additional child reduces the probability of household migration by 0.0115, while it increases the likelihood of fathers’ migration by 0.0121. These effects suggest that households with more children may be less mobile but may have a greater economic need for migration.     

Is the natural resource production a blessing or curse for China's urbanization? Evidence from a space–time panel data model

This paper provides an analytical framework to evaluate under what conditions the natural resource production could promote or hinder urbanization process, focusing on factors mostly relevant for China. Considering both structure breaks and cross-sectional dependence as well as spatial spillovers, the study deploys a comprehensive approach to rigorously prove the validity of the proposed space–time panel data model that includes the second generation panel unit root test and panel cointegration, panel threshold regression and spatial panel Durbin model. The results not only offer strong evidences that the natural resource production non-linearly impacts on urbanization process, but also show that there exists a dynamic response over time and space as well as space–time diffusion impact, in which these percentages are different from each other confirming an asymmetric effect of the natural resource production on urbanization process.     

Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model

Using data on developing economies, we estimate a flexible semiparametric panel data model that incorporates potentially nonlinear effects of inflation on economic growth. We find that inflation is associated with significantly lower growth only after it reaches about 12 percent, which is notably lower than the comparable estimate obtained from a threshold model. Our results also suggest that models with restrictive functional form assumptions tend to underestimate marginal effects of inflation on economic growth. We also document significant variation in the effect of inflation on growth across countries and over time.     

Is Tinkering with Institutional Quality a Panacea for Firm Performance? Insights from a Semiparametric Approach to Modeling Firm Performance

There is a large and growing literature on the impact of institutional quality on economic performance and the broad consensus is that “good” institutions facilitate better economic performance. The literature that provides micro‐level support for the policy discourse about institutional quality does not, however, account for significant intra‐country variation in reactions of firms to changes in business environments, even within the same industry, and it generally ignores the possibility that the impact of institutional quality on firm performance may not be neutral. In this paper, we analyze the impact of institutions on firm performance using an approach that enables us to overcome these problems with the stylized approach. Using cross‐country firm‐level data, we demonstrate that not only does the marginal impact of institutional quality vary significantly within countries, but also that the impact is economically significant only at the two extremes of the distribution. We view this as prima facie evidence that policies that tinker with institutional quality on the basis of the popular wisdom about the impact of these institutions on the average firm may not have the desired or expected impact, at least at the micro level.     

Is there a “reform fatigue” in the euro area?

The absence of monetary policy within a currency union increases the need for structural reforms that make the participating economies more flexible. However, the absence of exchange rate risk with respect to the other members of the union may reduce the urgency for such reforms. A number of other considerations also suggest that theory is ambiguous about the impact of participating in a currency union on progress in structural reforms. This paper addresses this issue empirically for the euro area. The results suggest that reforms in the euro area seem to have decelerated following the introduction of the euro, but from a fast pace. The paper discusses a number of possible explanations, including “reform fatigue,” the absence of “market punishment,” and “good-times” complacency. Estimates from an empirical growth model suggest that the slowing of reforms may slow down annual output growth by up to 0.2%. However, the results are preliminary and depend on the area of reform considered. Furthermore, the reform dynamics may change with the euro area starting slowing at the end of 2007.