The macroeconomic damage from gender discrimination

Daniel Stempel and Ulrike Neyer analyse the effects of gender discrimination on macroeconomic outcomes. Their study suggests that if there were no gender discrimination, adverse economic shocks like the COVID-19 pandemic would be less detrimental to economic activity. Additional consequences of gender discrimination come via monetary policy: central bank reactions to the crisis end up increasing discriminatory wage gaps and are less effective at stabilising the economy

Challenges to climate change adaptation in coastal small towns:Examples from Ghana, Uruguay, Finland, Denmark, and Alaska

The ability of a coastal settlement to adapt to climate change is largely dependent upon access to a range of resources, which many coastal towns and small cities lack. Coastal small towns of less than 10,000 are therefore at a significant disadvantage compared to larger settlements when it comes to adaptation. One way to begin to overcome this disadvantage is to compare coastal small towns in order to identify efficiencies and support knowledge sharing. In this article we present and analyse five case studies of coastal small towns: Fuvemeh, Ghana; Kiyú, Uruguay; Hanko, Finland; Lemvig, Denmark; and Nome, Alaska, USA. A number of key outcomes and lessons were identified which highlights the need for a formal network of international coastal small towns to encourage and develop knowledge sharing practices going forward. A further lesson is the importance of using a range of indicators in order to establish the regional/national importance of a town. Basing this solely on population size can result in an erroneous interpretation of the significance (and therefore adaptive capacity) of a coastal small town. Finally, despite many barriers to adaptation in coastal small towns, being small offers some potential advantages, such as the possibility of being able to form a community consensus more easily, using 3D visualisations for adaptation planning, and having managed realignment as a realistic management option. It is imperative that climate change resilience in coastal small towns is increased by focussing on overcoming barriers and developing appropriate adaptation approaches by governments, non-governmental organisations, business, and researchers

The normalization of online campaigning in the web.2.0 era

This article is based on a comparative study of online campaigning and its effects by country and over time, using four of the largest European Union member states (France, Germany, Poland and the United Kingdom) as a case study. Our research explores the extent of embeddedness of online campaigning, the strategic uses of the whole online environment and in particular the use of the interactive features associated with web.2.0 era. However, our research goes beyond studies of online campaigning as we also determine whether online campaigning across platforms matters in electoral terms. Our data support the normalization hypothesis which shows overall low levels of innovation but that the parties with the highest resources tend to develop online campaigns with the highest functionality. We find that there is a vote dividend for those parties which utilized web.2.0 features the most and so offered visitors to their web presence a more interactive experience

Challenges to climate change adaptation in coastal small towns: examples from Ghana, Uruguay, Finland, Denmark, and Alaska

The ability of a coastal settlement to adapt to climate change is largely dependent upon access to a range of resources, which many coastal towns and small cities lack. Coastal small towns of less than 10,000 are therefore at a significant disadvantage compared to larger settlements when it comes to adaptation. One way to begin to overcome this disadvantage is to compare coastal small towns in order to identify efficiencies and support knowledge sharing. In this article we present and analyse five case studies of coastal small towns: Fuvemeh, Ghana; Kiyú, Uruguay; Hanko, Finland; Lemvig, Denmark; and Nome, Alaska, USA. A number of key outcomes and lessons were identified which highlights the need for a formal network of international coastal small towns to encourage and develop knowledge sharing practices going forward. A further lesson is the importance of using a range of indicators in order to establish the regional/national importance of a town. Basing this solely on population size can result in an erroneous interpretation of the significance (and therefore adaptive capacity) of a coastal small town. Finally, despite many barriers to adaptation in coastal small towns, being small offers some potential advantages, such as the possibility of being able to form a community consensus more easily, using 3D visualisations for adaptation planning, and having managed realignment as a realistic management option. It is imperative that climate change resilience in coastal small towns is increased by focussing on overcoming barriers and developing appropriate adaptation approaches by governments, non-governmental organisations, business, and researchers

Household Inflation Inequality in the United States and Europe

Inflation rates differ across households depending on their sociodemographic characteristics. This paper calculates the inflation rates experienced by income quintiles in the US, the EU, France, Germany, Italy, Spain, and the UK between 2001 and 2021. The results indicate substantial inflation inequality between quintiles. Households with lower income experienced higher inflation rates than households with higher income. The aggregated inflation differential between the lowest and the highest quintile is always positive, with values up to 8.56 percentage points. One reason for this inequality is differing consumption baskets of households: essential goods, which exhibited above-average inflation, are more prevalent in the consumption baskets of lower quintiles, while non-essentials, which exhibited below-average inflation, are more relevant for higher quintiles. Upon examining inflation inequality across quintiles between January and June 2022, a similar pattern emerged in Europe. In the US, however, higher income quintiles experienced higher inflation rates in each month of 2022

Whose inflation rates matter most? A DSGE model and machine learning approach to monetary policy in the Euro area

In the euro area, monetary policy is conducted by a single central bank for 20 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European Central Bank (ECB) conducted monetary policy between 2002 and 2022 according to the weighted average of the inflation rates within the European Monetary Union (EMU) or reacted more strongly to the inflation rate developments of certain EMU countries. The New Keynesian model first generates data which is used to train and evaluate several machine learning algorithms. They authors find that a neural network performs best out-of-sample. They use this algorithm to generally classify historical EMU data, and to determine the exact weight on the inflation rate of EMU members in each quarter of the past two decades. Their findings suggest disproportional emphasis of the ECB on the inflation rates of EMU members that exhibited high inflation rate volatility for the vast majority of the time frame considered (80%), with a median inflation weight of 67% on these countries. They show that these results stem from a tendency of the ECB to react more strongly to countries whose inflation rates exhibit greater deviations from their long-term trend