Institutions and public investment: an empirical analysis

This paper investigates the effect of institutional quality on the levels, volatility and quality of public investment. Our findings suggest an inverse relationship between public investment levels and institutional quality, supporting the idea that governments use public investment as a vehicle for rent seeking. We also find that lower quality of governance increases the volatility of public investment. Finally, we provide some tentative evidence of a positive relationship between institutional quality and the quality of infrastructure. Policymakers who aim to reduce infrastructure needs through capital spending should take measures to strengthen institutional capacity to manage public investments.     

Asymmetric information and deal selection: evidence from the Italian venture capital market

International Entrepreneurship and Management Journal - The aim of this study is to show how information asymmetry affects the venture capital (VC) deal selection process in the Italian capital...     

Asymptotic expansion for some local volatility models arising in finance

Decisions in Economics and Finance - In this paper, we study the small noise asymptotic expansions for certain classes of local volatility models arising in finance. We provide explicit expressions...     

A DYNAMIC ENTRY AND PRICE GAME WITH CAPACITY INDIVISIBILITY

Strategic market interaction is here modelled as a two‐stage game in which potential entrants choose capacities and next active firms compete in prices. Due to capital indivisibility, the capacity choice is made from a finite grid and there are economies of scale. In the simplest version of the model with a single production technique, the equilibrium turns out to depend on the ratio between the level of total output at the long‐run competitive equilibrium and the firm's minimum efficient scale: if that ratio is sufficiently large (the market is sufficiently ‘large’), then the competitive price emerges at a subgame‐perfect equilibrium of the capacity and price game; if not, then the firms randomize in prices on the equilibrium path. The role of the market size for the competitive outcome is shown to be even more important if there are several available production techniques.     

Quality risk aversion, conjectures, and new product diffusion

In this paper, we provide a generalization of the standard models of the diffusion of a new product. Consumers are heterogeneous and risk averse, and the firm is uncertain about the demand curve: both learn from past observations. The attitude towards risk has important effects with regard to the diffusion pattern. In our model, downward-biased signals to consumers can prevent the success of the product, even if its objective quality is high: a “lock-in” result. We show, in addition, that the standard logistic pattern can be derived from the model. Finally, we discuss the steady states of the learning dynamics, with regard to the multiplicity and the local stability of equilibria, and to their welfare properties.     

Bank profitability and macroeconomic conditions: Are business models different?

The paper investigates the impact of macroeconomic conditions on the profitability of EU banks by testing for differential effects according to the business model. We group banks into three business models using a hierarchical cluster analysis and find that using clusters based on the share of assets invested in loans reveals heterogeneity in the sensitivity of bank profitability to economic growth across business models. Our main result is that GDP growth, credit growth, and the risk-free yield curve influence profitability as expected, but we also find that the effect of GDP growth is only significant for banks that have a high and medium share of assets invested in loans, and not for banks that hold large portfolios of securities. This difference depends on the impact of growth on asset write downs, especially those on loans and, to a lesser extent, on revenues. The results suggest that studies relating bank profitability to macroeconomic conditions should take the heterogeneity of business models into account.     

Which skills contribute most to absorptive capacity,innovation and productivity performance? Evidence from the US and Western Europe

ABSTRACT

Skills are widely recognised as central to absorptive capacity, that is, firms’ ability to identify and make effective use of knowledge, ideas and technologies that are generated elsewhere. But identification of the specific levels of education and skills that contribute most to the development of absorptive capacity is often hampered by the use of skill measures as proxies for absorptive capacity itself. Drawing on a cross-country industry-level dataset, we retain separate measures of key components of absorptive capacity, namely, skills, R&D investments and openness to foreign trade and investment. We then estimate a system of structural equations in order to evaluate the extent to which different levels of skill contribute to innovative output (measured by growth in patenting) and subsequently to growth in productivity. We find important roles for both high-level skills and upper intermediate (technician-level) skills in converting the knowledge sourcing opportunities provided by openness into innovative output. In final stages of production (making use of innovative output), productivity growth in countries near to the technological frontier is enhanced not just by high-level and upper intermediate skills but also by the skills of the workforce as a whole.     

Does the position in the inter-sectoral knowledge space affect the international competitiveness of industries?

ABSTRACT

This paper empirically investigates how the inter-sectoral knowledge flows affect the international competitiveness of industries, once controlling for both cost and other technological factors. Using patent data on 14 manufacturing industries in 16 OECD countries over the period 1995–2009, we apply a network-based approach to capture the effect of industries' position in the flows of technical knowledge across industries, which we label inter-sectoral knowledge space. We find that (i) centrality and local clustering in the inter-sectoral knowledge space positively affect the export market shares of an industry, (ii) such two effects are rather redundant and (iii) national-level knowledge flows' impacts on international competitiveness are way stronger than international ones. Network measures of position in the knowledge space are found to be more relevant than standard technological indicators such as patent counts. Our results point to the importance of industries being well located in the stream of knowledge flows, rather than being innovative per se, and offer a novel yet robust proxy to measure technological factors affecting trade performances. In addition, we find evidence of geographical boundaries of knowledge flows.     

Why do people place lower weight on advice far from their own initial opinion?

Experimental studies find that the weight put on advice is negatively related to the distance between the advice and the decision-maker’s initial opinion. We show that this can be rational if the decision-maker has imperfect knowledge about the advisor’s competence.