Market imperfections and crowdfunding

Small Business Economics - This article is the first one that considers the choice between the different types of crowdfunding and traditional financing under different types of market...     

Credibility and monetary policy in a model with growth

We examine the implications for monetary policy design of includinglearning-by-doing effects in a macroeconomic model. We showthat an inflation bias arises because monetary surprises maybe exploited to maximise potential output by temporarily raisingthe rate of human capital accumulation. Our model also providesan alternative explanation for the empirical evidence linkinginflation and growth, where the causal link goes from slow growthto high inflation. Unlike traditional credibility models, aninflationary bias can persist even when the authorities do notwish to offset labour market distortions through monetary surpriseswhich undercut the median voter's income.     

Macroeconomic shocks, structural change and real exchange rates: Evidence from historical data

We present empirical evidence on the forces driving real exchange rates in the long-run. Using data from the US, UK and Italy across different exchange rate regimes, we find support for the hypothesis that productivity and fiscal shocks matter. However, in some cases fiscal shocks cause depreciations, likely triggered by the monetary accommodation of fiscal shocks. We also find that the traditional Harrod–Balassa–Samuelson effect of productivity on real exchange rates is reversed in some cases, which confirms the importance of the distributive sector in driving productivity gains.     

Is fixed-mobile substitution strong enough to de-regulate fixed voice telephony? Evidence from the Austrian markets

In this paper, we estimate own-price elasticities for fixed network voice telephony access and national calls services for private users as well as cross-price elasticities to mobile services using time series data from 2002 to 2007 from the Austrian markets. Using instrumental variable estimates and considering cointegration, we find that access is inelastic while calls are elastic. We conclude that the retail market for national calls of private users can probably be deregulated due to sufficient competitive pressure from mobile. Access-substitution on the other hand does not seem to be strong enough to justify de-regulation.     

Coupling urban expansion models and hydrological models: How important are spatial patterns?

It is well known that urban expansion has a severe impact on the surface water balance by transforming vegetated covers into sealed surfaces. This transformation causes changing fluxes of evapotranspiration, surface runoff and groundwater recharge. In order to estimate the impact of land cover changes on the surface hydrology, hydrological models are often coupled with different types of land cover change models. It is, however, not clear to what extent spatially-explicit urban expansion scenarios provide an added value in comparison with non-spatial urban expansion models at different scale levels. The objective of this paper is to acquire a better insight in the importance of scale effects involved in the coupling of urban expansion scenarios and hydrological models. The relative importance of using different projections of both (i) quantity and (ii) spatial patterns of urban expansion was analysed at four different scale levels. The highly urbanised Flanders–Brussels region was taken as an example application. Twelve different urban expansion scenarios for 2025 and 2050 were developed and subsequently used as an input in a spatially-distributed water balance model. The results obtained suggest that at the level of the Flanders–Brussels region, an accurate estimation of the quantity of urban expansion should get priority over an accurate projection of the spatial patterns. However, the importance of using accurate projections of the spatial pattern of urban expansion increases systematically at local scale levels. A uniform strategy for coupling urban expansion models and hydrological models thus seems inappropriate. These findings are highly relevant for water management and spatial planning policymakers that typically operate at different administrative levels.     

New Keynesian dynamics in a low interest rate environment

Recent research has found that the dynamic properties of the New Keynesian model are unorthodox when the nominal interest rate is zero. Improvements in technology and reductions in the labor tax rate lower economic activity and the size of the government purchase output multiplier is very large. This paper provides evidence that these results are not empirically relevant. We show that a prototypical New Keynesian model fit to Japanese data exhibits orthodox dynamics during Japan's episode with zero interest rates. We then demonstrate that this specification is more consistent with outcomes in Japan than alternative specifications that have unorthodox properties.     

Can a margin squeeze indicate the need for deregulation? The case of fixed network voice telephony markets

In the beginning of fixed network liberalisation in Europe in the late 1990s, the main concern of regulators was to lower retail call prices. This was done by introducing wholesale regulation and promoting service-based competition. Some years later, the concern of some regulators turned from too high retail call prices to too low call prices, which might ‘squeeze’ entrants out of the market. This paper looks at a simple model in which this development is explained by increasing competitive pressure from an ‘outside opportunity’, most notably mobile telephony and cable. It is concluded that a margin squeeze is not necessarily used by the incumbent as a device to drive competitors out of the market and to increase market power but can also result from increased inter-modal competition. If this is the case, it is argued that the appropriate response would be deregulation or – under particular circumstances – a switch from cost-oriented access prices to alternatives such as retail-minus or capacity-based interconnection.     

Accounting for missing data in M-estimation: a general matching approach

This paper addresses M-estimation of conditional mean functions when observations are missing at random. The usual approach of correcting for missing data, when the missing data mechanism is ignorable, is inverse probability weighting (IPW). An alternative semiparametric M-estimator which involves local polynomial matching techniques is proposed and its asymptotic distribution is derived. Like IPW, the proposed estimation approach has a double robustness property for the estimation of unconditional means. Monte Carlo evidence suggests slightly better finite sample properties of the semiparametric M-estimator relatively to IPW. A version of the proposed estimator is applied to estimate the impact of noncognitive skills on wages in Germany for two different educational treatment regimes.