Time-varying persistence in US inflation

The persistence property of inflation is an important issue not only for economists, but especially for central banks, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further, not only is it the level of inflation persistence that is important in economic analyses, but also the question of whether the persistence varies over time, for instance, across business cycle phases, is equally pertinent, since assuming constant persistence across states of the economy is sure to lead to misguided policy decisions. Against this backdrop, we extend the literature on long-memory models of inflation persistence for the US economy over the monthly period of 1920:1–2014:5, by developing an autoregressive fractionally integrated moving-average-generalized autoregressive conditional heteroskedastic model with a time-varying memory coefficient which varies across expansions and recessions. In sum, we find that inflation persistence does vary across recessions and expansions, with it being significantly higher in the former than in the latter. As an aside, we also show that persistence of inflation volatility is higher during expansions than in recessions. Understandably, our results have important policy implications.     

Perception by French students of the gendered nature of material artifacts studied in technology education

Many studies have shown the importance of the socio-cultural factors that lead girls to desert scientific and technological courses. Over a long period, the contents of the French technology education (TE) college curricula may well have contributed to strengthening the feeling among girls that this discipline was better suited to boys. The choice of technical artifacts that embody the knowledge taught could be partially responsible for this. Our investigation was conducted in two stages. Firstly, we made an inventory of artifacts presented in four TE schoolbooks for the 6th grade. Secondly, we submitted this list to a population of 98 girls and boys (12–14 years). Our results indicate that most of these artifacts were categorized as mixed. However, those that are classed as masculine are more numerous than feminine one’s. They are also more prevalent among girls and their number increases with age. The grouping of these artifacts by families also shows gender differences.     

Steuerpolitik und Wirtschaftswachstum

The design of the tax system matters for economic growth. During times of economic crisis, tax instruments such as temporary tax cuts can be used to soften adverse effects on the economy by stimulating private and corporate spending. However, empirical evidence suggests that the overall impact of short term tax policies is limited. In the long run, the structure of the tax system is essential to building up an investment friendly and innovation-stimulating environment, which will promote sustainable economic growth.     

Hartz IV: die Lösung für die Probleme in der Währungsunion?

The Hartz reforms are often regarded as the therapy which turned the so called “sick man of Europe” into a global superstar. But this diagnosis was wrong. The strength of the German economy was overshadowed by the negative effects of reunification. The decline in unemployment can partly be attributed to the end of the transformation in East Germany. It also reflects the negative cyclical situation in 2005. This analysis is in line with the finding that compared e.g. with Italy and Greece, German unemployment assistance is still very generous. Thus, for the member states of the Eurozone Hartz IV is not a promising strategy. This could be different should wage moderation be cosnidered. However, if member states practice it simultaneously, this will lead to deflation. This calls for higher wage increases in Germany and a more symmetric adjustment.     

The effect of natural and built environmental characteristics on pedestrian-vehicle crash severity in Ghana

Despite the benefits of walking as a means of travelling, walking can be quite hazardous. Pedestrian-vehicle crashes remain a major concern in Ghana as they account for the highest percentage of fatalities. The objective of this study is to determine the effect of both natural and built environmental features on pedestrian-vehicle crash severity in Ghana. The study is based on an extensive pedestrian-vehicle crash dataset extracted from the National Road Traffic Accident Database at the Building and Road Research Institute (BRRI) of the Council for Scientific and Industrial Research (CSIR), Ghana. Using a multinomial logit modelling framework, possible determinants of pedestrian-vehicle crash severity were identified. The study found that fatal crashes are likely to occur during unclear weather conditions, on weekends, at night time where there are no lights, on curved and inclined roads, on untarred roads, at mid-blocks and on wider roads. The developed model and its interpretations will make important contributions to road crash analysis and prevention in Ghana with the possibility of extension to other developing countries. These contributing factors could inform policy makers on road design and operational improvements.     

Women,Muslim Immigrants,and Economic Integration in France

Muslim immigrants to Europe display distinctive attitudes toward women in a wide range of survey data. This study investigates whether this translates into distinctive behavior. Relying on a dictator game in France and an identification strategy that isolates the effect of religion from typical confounds such as race, we compare the donations of matched Christian and Muslim immigrants and rooted French to in‐group and out‐group men vs. women. Our results indicate that Muslim immigrant participants deviate from Christian immigrant and rooted French participants in their behavior toward women: while the latter favor women over men, Muslim immigrants favor men over women.     

What is the potential growth rate of the U.S. economy,and how might policy affect it?

The answer to the question “What will future potential growth be?” is as important as it is unknowable. This paper attempts to predict future U.S. potential output growth by combining what is unknown (future productivity growth, the performance of the labor market) with what is known (the evolution of the age structure of the population). It does so in two ways. First, this paper uses the historical experience of potential labor productivity growth, labor force participation, and weekly hours to simulate a range of outcomes for future potential growth—finding a 90% confidence interval that ranges from 0.7% annual growth to 3.0% annual growth, centered by construction around the Congressional Budget Office projection of 1.8% annual growth. Second, the paper examines a range of specific economic policies that the Trump Administration might pursue in terms of their impact on economic growth both in the short run and over the next decade—finding that an outer bound of these policies could be plus or minus 0.5 percentage point on the annual growth rate, but that these policies would most likely subtract a small amount from growth.     

Visual displays: analytical study and applications to graphs and real data

Principal axis methods such as principal component analysis (PCA) and correspondence analysis (CA) are useful for identifying structures in data through interesting planar graphic displays. However, some kinds of data sets can be dealt alternatively with PCA or CA. This paper focuses on methods, such as PCA and CA, and on visual displays. Our aim is to illustrate the implications for a potential user of selecting either method, and its advantages and disadvantages, from an applied point of view. This is a matter covered broadly in textbooks and elsewhere considering theoretical arguments. Our purpose is to contribute to the comparison between these methods, over the same data set, in order to illustrate them for the practitioner. In the first part of this paper we present a novel analytical study of a binary matrix associated with a non-oriented axis-symmetric graph and show that CA outperforms standardized PCA for the reconstitution and visualization of such kind of graphs. In the second part we present a case using real data dealing with the distribution of employees in different economic sectors for the countries of the European Union, analyzed by means of standardized PCA and two-way CA, in order to see the differences between the two methods in practice.