An Analysis of the Dynamic Relationship between the Global Macroeconomy and Shipping and Shipbuilding Industries

Using time-series data from January 2006 to February 2021, this study analyzed the effect of macroeconomic shocks on the shipping and shipbuilding industries. The Granger causality test, recursive structural vector autoregressive models, impulse response analysis, historical decomposition, and local projections model were used to identify the dynamic relationships between the variables and their dynamic effects, based on the results of the theoretical model and previous research. First, the Granger causality test demonstrated that the macroeconomic variables have causal relations with the shipping and shipbuilding industries. Second, the recursive structural vector autoregressive estimation demonstrated that the direction of the shocks from macroeconomic variables is statistically significantly, consistent with the theoretical model. The same results were found in the recursive structural vector autoregressive model and local projection impulse response analysis. Finally, the historical decomposition identified the main causal variables affecting the shipping and shipbuilding industries by period. These findings can help policymakers, operators of shipping and shipbuilding companies, and investors evaluate and make policy-supporting decisions on industry conditions.

THE ESTIMATION OF INFLUENCE OF THE SHARP OIL PRICES REDUCTION AND SANCTIONS ON THE DYNAMICS OF RUSSIAN CRUCIAL MACROECONOMIC INDICATORS

This article provides a brief analysis of the impact of various macroeconomic shocks caused by the sanctions regime and the sharp drop in oil prices from 2014 to 2018. The authors identified shocks that greater extent provoked a GDP decline and inflation increase using the constructed DSGE-model of the Russian economy and the obtained historical decomposition for the quarterly growth rates of the investigated macro-indicators. According to calculations, the inflation growth from 2014 to 2015 can be interpreted as the sum of the adverse effects from the change in household preferences, the shock in oil prices, and the negative contribution of the stabilizing monetary policy. The observed GDP decline from the second quarter of 2014 to the third quarter of 2015 is explained by the synergistic effect of monetary policy shocks and a sharp drop in oil prices.

Narrative Sign Restrictions for SVARs

We identify structural vector autoregressions using narrative sign restrictions. Narrative sign restrictions constrain the structural shocks and/or the historical decomposition around key historical events, ensuring that they agree with the established narrative account of these episodes. Using models of the oil market and monetary policy, we show that narrative sign restrictions tend to be highly informative. Even a single narrative sign restriction may dramatically sharpen and even change the inference of SVARs originally identified via traditional sign restrictions. Our approach combines the appeal of narrative methods with the popularized usage of traditional sign restrictions. (JEL C32, E52, Q35, Q43)

The Welfare Consequences of Income-Induced Expenditure Switching

Bems and di Giovanni (2016) establish that income-induced expenditure switching (IIES) from foreign goods to cheaper domestic substitutes played a significant role in external rebalancing during the 2008-2009 financial crisis in Latvia. In this paper, we examine the welfare consequences of IIES under different external sector rebalancing scenarios. We find that IIES reduced the negative welfare consequences that accompany external rebalancing by between 12-17 percent. We also show, using a historical decomposition, that IIES accounted for 18 percent of the 2008-2009 collapse in imports, which is greater than the 14 percent contribution due to the conventional price-induced expenditure switching channel.

Analyse der Übertragung US-amerikanischer Schocks auf Deutschland auf Basis eines FAVAR / A FAVAR-based Analysis of the Transmission of US Shocks to Germany

SummaryThe paper assesses the transmission of US supply, demand and monetary policy shocks between 1976 and 2008 based on a factor-augmented vector autoregressive model (FAVAR) which is applied to a newly constructed set of more than 200 German time series. The study not only assesses the transmission of US shocks to German GDP via impulse response analysis but also to a large number of variables capturing the various transmission channels. The inclusion not only of aggregate trade variables but also of variables covering trade with different partner countries/regions helps analyzing more deeply the trade channel, e. g. the role of direct trade versus trade with third countries. Another focus lies on the transmission of US shocks to specific industries such as the car and the machinery industries which were particularly severely affected by the global financial crisis. Finally, the role of US shocks for the most recent downturn in Germany is assessed based on a historical decomposition.

Dynamics of Price Transmission in the Presence of a Major Food Safety Shock: Impact of H5N1 Avian Influenza on the Turkish Poultry Sector

This article addresses the dynamic impact of the 2005 H5N1 avian influenza outbreak on the Turkish poultry sector. Contemporary time-series analyses with historical decomposition graphs are used to address differences in monthly price adjustments between market levels along the Turkish poultry supply channel. The empirical results show that price adjustments are asymmetric with respect to both speed and magnitude along the marketing channel. Results also reveal a differential impact of the exogenous shock on producers and retailers. The findings have critical efficiency and equity implications for the supply-chain participants.