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Fighting recent inflation: An empirical literature review of monetary and governmental policies

Haar Christoph

Managerial Economics

2024

Vol. 25, no. 1

7--54

Inflation is a crucial issue for businesses and households, central banks and governments, in fact for all economic actors, as it has a strong impact on economic growth and welfare. This literature review captures how monetary policy and governmental policy can control inflation, how their measures work, and which are the key points to consider when conducting these policies, especially in times of crisis. It uses academic papers from the past eight decades, supplemented by publications from financial and economic institutions, but focuses on literature beginning with the 2000s to capture the latest methods and techniques to find out what drives inflation and how. Monetary policy and governmental policy should act together to effectively fight inflation. Monetary policy can have adverse effects on governments’ future tax revenues and debt-to-GDP ratios. Fiscal policy measures should be associated with altered government spending to avoid high inflation rates and/or high debt burdens in the future. Especially during and right after crises, measures have to be evaluated as too long support can fuel inflation in the future. Both parties should also take into account people’s inflation expectations, as these shape their economic behaviour.

Fane: a firewall appliance for the smart home

Haar Christoph, Buchmann Erik

Annals of Computer Science and Information Systems

2019

Vol. 18

449--458

With the advent of of the Internet of Things (IoT), many domestic devices have been equipped with information technology. By connecting IoT devices with each other and with the Internet, Smart Home installations exist that allow the automation of complex household tasks. A popular example is Google Nest that controls cooling, heating and home security. However, Smart Home users are tempted to neglect that such IoT devices pose IT-Security risks. Examples like the Mirai malware have already shown that insecure IoT devices can be used for large-scale network attacks. Thus, it is important to adapt security approaches to Smart Home installations. In this paper, we introduce FANE, our concept for a Firewall AppliaNcE for Smart Home installations. FANE makes a few realistic assumptions on the network segmentation and the communication profile of IoT devices. This allows FANE to learn firewall rules automatically. Our prototypical implementation indicates that FANE can secure a wide range of IoT devices without requiring network-security expertise from the Smart Home user.