Media use and life satisfaction: the moderating role of social events

This study investigates whether and how social events, which have specific impact levels and consequences, influence the relationships between the use of different types of media and media users’ life satisfaction. The impact levels refer to the number of impact factors, which characterize social events (relevance, non-polarization, certainty, radicalness and proximity). The consequences, in turn, refer to the outcomes for media users (positive or negative outcomes). The results are based on data from the Standard Eurobarometer survey (N = 73,860) as well as on data from a content analysis and cover 36 social events in 13 European countries over a time period of 6 years. The moderated moderation analysis reveals that social events only influence the effects of the use of more interactive media types (the internet and social network sites) on media users’ life satisfaction, but they don’t influence the effects of the use of less interactive media types (written press, radio and TV) on media users’ life satisfaction. In fact, social events with positive consequences increase these effects, while social events with negative consequences buffer these effects. Previous research has investigated how the use of different types of media or specific social events affect people’s life satisfaction. This study contributes to the literature by revealing how social events and media use interact and thereby influence media users’ life satisfaction.     

Supply management and household poverty in Canada

The regulation of the Canadian dairy and poultry industries through production quotas (also known as supply management) is widely believed to result in higher consumer prices that disproportionately impact poorer households. Using the most recent Survey of Labour and Income Dynamics (Statistics Canada 2013), we estimate the number of Canadians pushed below the poverty/low-income threshold as a result of this policy as ranging between 133,000 and 189,000 individuals.     

Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance

The key feature when modelling joint production of intended outputs and unintended residuals is that the latter stem from the use of material inputs. A multi-equation model building on the factorially determined multi-output model of classical production theory satisfies the materials balance that tells us that the mass contained in inputs cannot disappear, but must turn up in the desirable outputs or end up as residuals. In this model, potentially complex technical relationships are simplified to express each of the intended outputs and the residuals as functions of the same set of inputs. Serious problems with the single-equation models most often found in the literature are demonstrated. Abatement activity in the form of end of pipe is added, and an optimal planning solution is derived using the concept of an environmental damage function for the impact of discharge of residuals into the natural environment. It is shown that the traditional environmental policy instruments, like direct regulation restricting the amount of undesirable residuals discharged to the environment, a Pigou tax on pollutants, and cap and trade, all function well. Extending the multi-equation model to allow for inefficiency, three efficiency measures are introduced: desirable output efficiency, residuals efficiency, and abatement efficiency. It is conjectured that these measures can be estimated independently using the DEA model.     

Slack-based directional distance function in the presence of bad outputs: theory and application to Vietnamese banking

In this paper we extend the slack-based directional distance function introduced by Färe and Grosskopf (Eur J Oper Res 200(1):320–322, 2010) to measure efficiency in the presence of bad outputs and illustrate it through an application on data of Vietnamese commercial banks. We also compare results from the slack-based directional distance function relative to the directional distance function, the enhanced hyperbolic efficiency measure (Färe et al. in Rev Econ Stat 71(1):90–98, 1989) and the Farrell-type technical efficiency and confirm that it has greater discriminative power.     

The long-run effect of foreign direct investment on total factor productivity in developing countries: a panel cointegration analysis

This paper examines the long-run effect of the level of foreign direct investment (FDI) on the level of total factor productivity (TFP) for 49 developing countries for the period 1981–2011 using panel cointegration and causality techniques. It is found that (i) FDI has, on average, a negative long-run effect on TFP in developing countries, (ii) long-run causality runs in only one direction, from FDI to TFP, (iii) in the short run, TFP has a negative effect on FDI, and (iv) the long-run effect of FDI of TFP differs between selected groups of countries: While the estimated long-run FDI–TFP coefficients are always relatively large, negative, and significant for countries with lower levels of human capital, financial development, and trade openness, the estimated effects are relatively small, insignificant, or even significantly positive for subgroups of countries with higher levels of human capital, financial development, and trade openness.     

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.     

How do financial cycles affect public debt cycles?

We employ the duration framework to study determinants of public debt cycles in 57 advanced and emerging economies over the 1960–2014 period, with a particular focus on the impact of financial cycles. The results suggest that the association between financial and debt cycles is asymmetric. Debt expansions preceded by overheating in credit and financial markets tend to last longer than other expansions, but there is no significant association between financial cycles and debt contractions. There is strong evidence of duration dependence in both phases of the cycle, with the likelihood of expansions and contractions to end increasing with the length of their respective spells. Higher initial level of debt increases the spell of contractions (persistence of adjustment effort hypothesis) and reduces the spell of expansions (debt sustainability hypothesis). The results are robust to the inclusion of global factors, openness, political stability, and debt crisis indicators as additional controls.     

National information and euro area monetary policy: a generalized ordered choice approach

We empirically analyze the influence of inflationary pressure originating from persistent national misalignments on the ECB’s interest rate decisions between 2000 and mid-2010. To do so, we introduce an indicator that summarizes the threat to euro area price stability originating from self-reinforcing expected inflation differentials. The indicator is computed based on persistent deviations of national expected inflation and GDP growth rates from the corresponding euro area aggregate. It thereby captures area-wide excess demand pressure on the euro area inflation rate. In order to determine the information content of this indicator, we add it to an empirical monetary policy reaction function. We then analyze this reaction function in the framework of a generalized ordered choice model that fits the data a lot better than its commonly used, more restricted counterpart. Within this empirical framework, we find that after controlling for several area-wide aggregates, national information does not provide additional information that is indicative of the ECB’s policy rate decision.