Short- and long-run heterogeneous investment dynamics

In this paper, we model the dynamics of business investment taking into account asset-specific characteristics potentially affecting the reactivity of aggregate and disaggregate capital accumulation over the business cycle. We estimate Information and Communication Technologies (ICTs) and traditional investment (non-ICT) determinants within a Vector Error Correction Model testing the assumptions of the flexible accelerator and neoclassical model as well as the role of financial constraints and uncertainty. We evaluate our model on Italian data over the period 1980–2012, and we check our results also with Spanish and UK data. Our findings support the assumption that capital is heterogeneous since short- and long-run determinants are significantly different across the assets. Traditional assets experience stock adjustment costs while ICT investment incurs flow adjustment cost. In the short run, liquidity is a key determinant of investment independently of the asset type. In the long run, uncertainty significantly affects ICT. Finally, the results of the counterfactual exercises support the idea that ICT is a key policy variable to foster economic growth.     

HEALTH INSURANCE,FERTILITY, AND THE WANTEDNESS OF PREGNANCIES: EVIDENCE FROM MASSACHUSETTS

Health insurance reform in Massachusetts lowered the cost of both pregnancy (by increased coverage of pregnancy‐related medical events) and pregnancy prevention (by increasing access to reliable contraception). We empirically examine fertility responses and find no overall effect from increased coverage due to the Massachusetts reform. This finding, however, masks substantial heterogeneity. For married women aged 20 to 34—with high latent fertility and pregnancy wantedness—fertility increased by approximately 1%. For unmarried women in the same age range—for whom pregnancies are typically unwanted—fertility declined by 8%. (JEL I13, I18, J13)     

Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

Macroeconomic shocks and stock market returns: the case of Korea

This study examines the effects of macroeconomic shocks on key macro variables, including stock market returns in Korea, using the structural vector autoregression (SVAR) model. We suggest a three-variable SVAR model incorporating inflation, output growth and stock returns. We adopt a nonzero z-ratio restriction for the long-run identifying assumption to allow for economically meaningful relationships among variables. While our results support the negative (positive) relation of demand (supply) shocks to stock returns, we also find that demand shocks influence stock market variance more significantly than supply shocks do. The sub-period analysis finds that global market fluctuations during the global financial crisis have relatively little effect on Korean stock market performance. We also examine a generalized five-variable model that includes the foreign exchange rate and interest rate, confirming the results from the three-variable case.     

Linking product modularity and innovativeness to supply chain management in the Italian furniture industry

Much of the literature on modularity assumes that firms with modular products adopt modular organization. In the realm of supply chain management, no consensus has been reached on the effects of product modularity on supply chains (SC). This paper investigates whether SC choices depend on product modularity and innovativeness, and how SC choices can be aligned to these product features to maximize performance. A medium scale survey has been performed in the Italian furniture industry. By means of factor and cluster analyses, the SC of firms that introduced products with different levels of modularity and innovativeness have been compared. The results show that both product features must be considered when designing the SC.     

An axiomatic characterization of the Baker-Thompson rule

The airport problem is a widely studied allocation problem, with the aim of providing simple and fair sharing rule for the landing fees. In this note we introduce some fairness criteria and characterize the classical Baker-Thompson allocation rule.     

Large-scale mortality shocks and the Great Irish Famine 1845–1852

This paper considers the consequences of a large scale mortality shock arising from a famine or epidemic for long run economic and demographic development. The Great Irish Famine of 1845–1852 is taken as a case-study and is incorporated as an exogenous mortality shock into the type of long-run unified growth theory pioneered by Galor and Weil (1999, 2000), and modelled by Lagerlöf (2003a,b) among others. Through calibration, the impact of such a mortality shock occurring on the cusp of a country's transition from a Malthusian to a Modern Growth regime is then depicted.     

Purchasing Power Parity and the European single currency: Some new evidence

The effect of the single currency on the Purchasing Power Parity (PPP) hypothesis is examined in this study for the 15 EU countries, vis a vis the US dollar, before and after the advent of the euro. Standard as well as nonlinear unit root tests are employed on the time series dimension. Unit root tests reject PPP and the highest half-lives are observed after the introduction of the single currency. Panel unit root (Pesaran, 2007) and stationarity tests (Hadri and Kurozumi, 2008) that take into account cross-sectional dependence are also estimated. The results remain inconclusive as panel stationarity tests fail to support PPP whereas panel unit root tests fail to reject PPP for the whole sample and for the period before the introduction of the single currency.     

Congestion games with load-dependent failures: Identical resources

We define a new class of games, congestion games with load-dependent failures (CGLFs). In a CGLF each player can choose a subset of a set of available resources in order to try and perform his task. We assume that the resources are identical but that players' benefits from successful completion of their tasks may differ. Each resource is associated with a cost of use and a failure probability which are load-dependent. Although CGLFs in general do not have a pure strategy Nash equilibrium, we prove the existence of a pure strategy Nash equilibrium in every CGLF with nondecreasing cost functions. Moreover, we present a polynomial time algorithm for computing such an equilibrium.     

UNDERSTANDING MEMBER CHARACTERISTICS AND COOPERATIVE PRICE EFFECTS: THE CASE OF THE ARGENTINEAN DAIRY SECTOR

Since the 1990s, Argentinean dairy‐processing cooperatives have lost considerable amounts of members and market share. We analyse their current role by investigating the characteristics of farmers who continue delivering to them and price differentials between cooperatives and investor‐oriented firms (IOFs). A probit regression model applied to 917 farmers suggests that cooperative farmers are more disadvantaged than farmers delivering to IOFs in terms of education, farm size and productive technology. Moreover, t‐tests applied to data representing 70 per cent of national volume indicate that farmers delivering to cooperatives are between 11 per cent and 29 per cent smaller than those delivering to IOFs, depending on province. A hierarchical multilevel regression model applied to 9,720 transactions among farmers and processors shows that, after controlling for quantity and quality, cooperatives pay lower (3.5%) but more stable prices than IOFs. In a context of rapid structural change, we observe a market in which larger farmers deliver to IOFs and smaller farmers deliver to cooperatives and conclude that, at the expense of paying lower prices, cooperatives may act as buyers of last resort for otherwise disadvantaged farmers.