Immigrants’ net direct fiscal contribution: How does it change over their lifetime?

Life-cycle direct public fiscal contributions and transfers are studied using longitudinal income tax data from 1982 to 2016 and administrative files for immigrants landed in Canada from 1980 to 2016. Relative to a comparison group comprising the Canadian-born and immigrants landed before 1980, immigrants since 1980 have a lower average net direct fiscal contribution (NDFC) during their working years due to their lower taxes and social security contributions but a higher average NDFC after 65 years of age because of reduced public pension eligibility and entitlement. Immigrants who landed at younger than 19 years old have much higher direct fiscal contributions than other age-at-arrival groups and reach their peak of contributions around 10 years earlier in life than other age-at-arrival groups. Immigrants whose age at arrival is above 65 have a less negative average NDFC than other age-at-arrival groups over the above-65 life cycle. These life-cycle age𠄁at-arrival trajectories are stable for immigrants in different landing cohorts. We apply the life-cycle estimates to project the present discounted value of lifetime NDFCs for immigrants who landed in 2016. For each landing age group, refugees and family class immigrants have negative or zero average present values of life-cycle NDFCs, much below that of economic immigrants.     

Common socio-economic cycle periods

We present a meta-analysis of cycle periods in historical socio-economic data found in the K-wave literature. The literature on stochastic and deterministic cycles in variables such as the consumer price index, employment, interest rates, commodity prices, GDP, war and hegemony is huge and scattered. However our meta-analysis reveals various commonalities. Our key finding is that there is a common set of cycle periods that is common across most socio-economic variables.     

Trends and cycles of the internet evolution and worldwide impacts

In this paper we present a quantitative analysis of the evolution of some Internet and ICT evolution indicators. It focuses on the number of Internet hosts, the Internet penetration index, the ICT development index and the software/protocols development. In addition, we analyzed the series of most impacting events building up the Internet along the last fifty years. These analyses were carried out using the multi-logistic procedure recently proposed by the authors. Our results for hosts counting, penetration index and software/protocols development are compatible with the onset of some radical changes in the Internet technology to be currently underway and we forecast new growth rate peaks to occur by 2015. The software/protocols were found to having been powered by bursts of creativity with periods of the order of the Kuznets and Kondratiev economic cycles. Similar conclusions were drawn from the series of main events building up the Internet. Despite the clear signs of worldwide improvement in the ICT infrastructure and usage between 2002 and 2007 obtained from the ICT development index, its cross-correlation with the human development index (HDI) revealed the presence of a group of countries whose improvements in the operational ICT index are disconnected from their corresponding HDI improvements.     

The struggle for space: Past and future of the space race

This article is geared toward shedding some more light on what may be the next space race and its contours.Space flight is undoubtedly a human achievement of the second half of the 20th century, and probably the most audacious one of the past century. The space race started suddenly in the 1950s and has grown explosively during the following two decades, but decreased steadily after the 1970s. After the 1990s, however, we have seen a shy rebirth of space-related activities, when many other actors (states) entered the stage, adding up to the agonizing role of the two-actor piece that we have witnessed during the so-called Cold War.The opening years of the 21st century provided a more complex narrative for space exploration. At the start of the new millennium a new technosphere [1] emerged, dominated by what is used to be called as the Information and Communications Technologies (ICT), with the Internet playing the leading role among the bandwagon of technological novelties that appeared during the twilight of space activities. In despite of the fact that artificial satellites represent the very backbone of the global communications system, space activities seem to play a secondary role amidst the apparently accelerated rate of change concerning the technological systems of the present technosphere. But, as it is demonstrated in this paper, things are changing, and very probably a renewed space race will unfold in the coming decades.A question may be placed: what happened? Why the Earth stood still with regard to the race toward the cosmos? Answer: futurists, even prestigious ones like Herman Kahn and Arthur Clarke, did not consider the existence of socioeconomic long waves (Kondratieff waves, or K-waves for short) with their two decades long economic downturn, which has contributed to the deceleration of space-related activities.Analyzing the worldwide evolving scenario of space-related activities during the last eighty years under the framework of the succeeding K-waves and applying some technological forecasting tools, namely the logistic analysis, technological surveillance and intensive data mining, scrutinizing more than 7500 events occurred in the period 1930–2010 related with space activities, it is demonstrated that the space race like the one that we have witnessed until now is a natural growth process that has saturated at the dawn of this century. The same analysis demonstrates that a new growth process in this field might be nowadays under way with contours very different from that imagined by futurists and science fiction writers sixty years ago. Also the main trends in the usage of launching vehicles and satellites are framed and discussed in this paper.     

Consumption smoothing in Russia1

Using a panel from the Russian Longitudinal Monitoring Survey (1994–2004), this paper investigates to what extent Russian households have been able to maintain their living standards while suffering income shocks. Consumption smoothing is modelled by means of an equilibrium correction mechanism, which disentangles short‐run dynamics and long‐run equilibrium adjustments. GMM estimation is used to control for individual household effects in the presence of dynamics. Additionally, we differentiate between food and non‐food consumption, positive and negative shocks, rural and urban areas, and several levels of poverty risk. We find that dynamics are important in the consumption equation, and that estimates are sensitive to imputation errors in home food production. No strong claims can be made regarding heterogeneity in smoothing behaviour.     

On the forecasting of the challenging world future scenarios

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.     

DOES POPULATION AGEING PROMOTE FASTER ECONOMIC GROWTH?

Can divergent demographic trends account for differences in per capita output across countries? We address this question by offering evidence that the process of population ageing is positively and significantly related to cross‐country economic performance. We define and estimate the effect of demographic change in two ways. First, a growing cohort of working age persons (15–64) as a share of the total population is found to have a large positive effect on GDP per capita. Second, an increase in the number of prime age persons (35–54) relative to the younger working age population (15–34) is found to have a positive but curvilinear effect with respect to per capita GDP. We find that changes in per capita GDP peak when the ratio of the prime‐to‐younger age population reaches an optimum of prime age workers for every younger aged worker. Beyond or below this optimal ratio, per capita output is lowered.     

Technical change: It should be positive and make sense!

We present the results of eight models that differ with respect to the time behavior of technical inefficiency and the presence of country heterogeneity. When taken into account, heterogeneity raises average technical change estimates, however technical progress rankings become counter-intuitive.     

Trade and business cycle synchronization in OECD countries—A re-examination

This paper re-examines the relationship between trade intensity and business cycle synchronization for 21 OECD countries in the period 1970-2003. Instead of using instrumental variables, we estimate a multivariate model including variables capturing specialization and similarity of economic policies. We confirm that trade intensity affects synchronization, but the effect is much smaller than previously reported. Other factors, like specialization and convergence in monetary and fiscal policies, have a similar impact on business cycle synchronization as trade intensity. The effect of trade on synchronization is not driven by outliers. However, the impact of trade on synchronization is not robust across deciles.