Effects of financial constraints on export performance of firms during the global financial crisis: microeconomic evidence from Korea

This study uses a manufacturing firm-level panel data set of South Korea for 2006–2013 to investigate the effect of financial constraints on the export performance of firms, with particular emphasis on the corporate ownership structure. The empirical results show that foreign multinational corporation (MNC) subsidiaries are not affected by financial constraint during both crisis and noncrisis periods, implying advantages of foreign ownership. However, domestic firms suffer more from financial constraints on exports during crisis years. In particular, domestic firms without parent firms are financially constrained during both crisis and noncrisis periods. However, those with parent firms do not experience financial constraints during noncrisis periods, although they too suffer from them during crisis periods. Thus, parent–subsidiary linkage among domestic firms plays an important role in alleviating financial constraints on export activity in noncrisis years but not as much during crisis years. Therefore, domestic parent firms exhibit less resilience to the global financial crisis, in comparison to foreign MNC parent firms.     

Exchange Rate Pass-Through to Consumer Prices: The Increasing Role of Energy Prices

Open Economies Review - A number of researchers have found that the rate of exchange rate pass-through (ERPT) to domestic prices has declined substantially over the last few decades. We revisit...     

Do Air Quality Alerts Affect Household Migration?

This article examines the effect of air quality information on immigration and emigration of households in California counties by measuring the change in the number of air quality alert days. Based on panel data for 2000–2014, I find evidence suggesting that more frequent air quality alerts reduce the rate of population growth in a county by decreasing immigration of households. This is driven by “Unhealthy” air alerts, which signals weaker air quality than “Unhealthy for Sensitive Groups.” The negative impacts on immigration are larger for high household income counties and are strongest when there is a sharp increase in the number of air quality alerts.     

Capital asset pricing model in Portugal: Evidence from fractal regressions

We examine risk profiles of the Portuguese stock market index component stocks using a novel approach to the classical capital asset pricing model (CAPM). Specifically, we estimate the CAPM via fractal regressions that allow studying the marginal effects at selected scales. In this way, we can reveal whether the risk is perceived differently by market participants with different investment horizons. Apart from the analysis itself, we provide new statistical insights into the issue of separating and comparing the scale-specific effects with statistical validity. We find several stocks deviating from an expected risk perception homogeneity across investment horizons. This is true for both analysed periods, i.e. before and after the global financial crisis. There are also several stocks that changed their relationship to the market portfolio in between, which has strong implications for possible portfolio construction. The proposed methodology is not limited to financial topics but can be used in any discipline where the scale-specific marginal effects might be of interest.     

The Structure of Problem Structuring Conversations: A Boundary Games Approach

One of the questions associated with facilitated problem structuring is how the micro level of actors’ multimodal communications, contributes to the emergence of a macro level, framing the possibilities for action in a workshop. This paper shows a way to study this macro level, building the visualization of the conversations’ structure starting from a boundary games theory micro analysis of the interactions. Our empirical evidence comes from following a group of academic consultants working to define a value proposition for their activity. We focus on analyzing two out of nine workshops that were felt diametrically opposite in terms of facilitation and achievements. Moving from the micro towards an upward level, three configurations building the structure are identified—shifting, branching and converging. The work carried out allows us to: (1) visualize the structure of conversations in a problem structuring context, (2) highlight the role of multimodal communications in building the conversations and (3) construct an interpretation bridging the micro and macro readings of a workshop. This knowledge is useful for facilitators guiding the dynamic of a workshop and for researchers looking forward to understanding how micro level interactions build higher levels of the social phenomenon of intervention.     

Public debt and economic growth in Spain, 1851–2013

In this paper we investigate the long-run relationship between public debt and economic growth in the Spanish economy for the period 1851–2013. We develop a cliometric analysis of the debt–growth nexus using novel time series methods. We find some support for a negative relationship between both variables, but no clear evidence of a debt threshold. The estimated long-run elasticity in a one-break model shows a tendency to decrease over time from a nonsignificant 0.011 to a ?0.070, indicating that a 10 percentage increase in the public debt-to-GDP ratio is associated with 0.70 percentage points lower real economic growth. Indeed, we find for the first subsample (1851–1939) either “decoupling” or “saturation,” while in the second subsample (1940–2000) the long-run elasticity coefficient becomes negative and significant. When we extend our analysis up to 2013, we find a break in 1971 coinciding with the twilight of Franco’s dictatorship and the Spanish transition to democracy.     

Structural comparisons of networks and model-based detection of small-worldness

In this paper, we consider the problem of assessing the “level of small-worldness” of a graph and of detecting small-worldness features in real networks. After discussing the limitations of classical approaches, based on the computation of network indicators, we propose a new procedure, which involves the comparison of network structures at different “observation scales”. This allows small-world features to be caught, even if “hidden” deeply into the network structure. Applications of the procedure to both simulated and real data show the effectiveness of the proposal, also in distinguishing between different small-world models and in detecting emerging small-worldness in dynamical networks.     

Policy Uncertainty and the Dual Role of Corporate Political Strategies

Firms use active political strategies not only to mitigate uncertainty emanating from legislative activity, but also to enhance their growth opportunities. We find that a firm's systematic risk (beta) can be hedged away by employing various political strategies involving the presence of former politicians on corporate boards of directors, contributions to political campaigns, and corporate lobbying activities. The hedging effect is greater when firms operate in more uncertain industries. In addition, active political strategies are associated with greater firm heterogeneity and make real options more value relevant as potential drivers of competitive advantages in uncertain environments.