Browsing by Person "Prettner, Klaus"

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Automation and demographic change
(2017) Abeliansky, Ana; Prettner, Klaus
We analyze the effects of declining population growth on the adoption of automation technology. A standard theoretical framework of the accumulation of traditional physical capital and of automation capital predicts that countries with a lower population growth rate are the ones that innovate and/or adopt new automation technologies faster. We test the theoretical prediction by means of panel data for 60 countries over the time span from 1993 to 2013. Regression estimates provide empirical support for the theoretical prediction and suggest that a 1% increase in population growth is associated with approximately a 2% reduction in the growth rate of robot density. Our results are robust to the inclusion of standard control variables, the use of different estimation methods, the consideration of a dynamic framework with the lagged dependent variable as regressor, and changing the measurement of the stock of robots.
Automatisierung, Wachstum und Ungleichheit
(2018) Schwarzer, Johannes; Prettner, Klaus; Geiger, Niels
Die Automatisierung stellt eines der wichtigsten Phänomene dar, welche aktuell innerhalb der Wirtschaftswissenschaften und der breiteren Öffentlichkeit diskutiert werden. Dabei finden sich in Bezug auf die Frage, wie sich die Automatisierung gesamtwirtschaftlich auswirkt, sehr unterschiedliche Positionen: Am einen Ende wird auf die negativen Beschäftigungseffekte verwiesen, wenn Menschen mehr und mehr durch Maschinen ersetzt werden und ihre am Markt angebotene Arbeitsleistung nicht mehr nachgefragt somit obsolet wird. Gleichzeitig wird die Automatisierung auch für einen Anstieg der wirtschaftlichen Ungleichheit verantwortlich gemacht. Optimistischere Stimmen verweisen andererseits auf die Entwicklung seit der Industriellen Revolution, die durch fortlaufende technologische Veränderungen mit hohem Produktivitätswachstum und damit starken Wohlfahrtssteigerungen einherging, ohne dass es langfristig zu Massenarbeitslosigkeit gekommen ist. Der vorliegende Aufsatz diskutiert einige allgemein relevante empirische Daten und skizziert ein einfaches theoretisches Wachstumsmodell zur Analyse der Automatisierung. Die hierbei festgehaltenen Ergebnisse werden unter Bezugnahme auf die aktuelle wirtschaftswissenschaftliche Literatur zu den bisherigen und für die Zukunft zu erwartenden ökonomischen Effekten der Automatisierung vertieft und erweitert. Aus den verschiedenen Ansatzpunkten und Überlegungen werden schließlich wirtschaftspolitische Handlungsmöglichkeiten abgeleitet, wobei auch jeweils diskutiert wird, welchen Einschränkungen diese Maßnahmen unterliegen.
Children’s health, human capital accumulation, and R&D-based economic growth
(2017) Baldanzi, Annarita; Bucci, Alberto; Prettner, Klaus
We analyze the effects of childrens health on human capital accumulation and on long-run economic growth. For this purpose we design an R&D-based growth model in which the stock of human capital of the next generation is determined by parental education and health investments. We show that i) there is a complementarity between education and health: if parents want to have better educated children, they also raise health investments and vice versa; ii) parental health investments exert an unambiguously positive effect on long-run economic growth, iii) faster population growth reduces long-run economic growth. These results are consistent with the empirical evidence for modern economies in the twentieth century.
Demographic change and regional convergence in Canada
(2016) Prettner, Klaus; Kufenko, Vadim; Geloso, Vincent
We examine the role of demographic change for regional convergence in living standards in Canada. Due to economies of scale within a family, decreasing household size has an impact on convergence in living standards, while per capita income convergence remains unaffected. We find that, by relying on per capita income, the dispersion of living standards between Canadian regions is overestimated prior to the 1990s and underestimated thereafter. As a consequence, relying on income per capita results in overestimating the speed of convergence in living standards.
Divergence, convergence, and the history-augmented Solow model
(2017) Kufenko, Vadim; Prettner, Klaus; Geloso, Vincent
We test the history-augmented Solow model with respect to its predictions on the patterns of divergence and convergence between the nowadays industrialized countries of the OECD. We show that the dispersion of incomes increased after the Indus- trial Revolution, peaked during the Second World War, and decreased afterwards. This pattern is fully consistent with the transitional dynamics implied by the history-augmented Solow model.
Does size matter? Implications of household size for economic growth and convergence
(2018) Prettner, Klaus; Geloso, Vincent; Kufenko, Vadim
We assess the effects of changes in household size on the long-run evolution of living standards and on cross-country convergence. When the observed changes in average household size across countries are taken into consideration, growth in living standards is slower throughout the 20th century as compared to a measure based on per capita GDP. Furthermore, the speed of divergence between different countries be- fore 1950 is faster and the speed of convergence after 1950 is slower after adjusting for the evolution in household size.
Essays on demographic change and R&D-based economic growth
(2020) Tscheuschner, Paul; Prettner, Klaus
This dissertation analyzes the economic growth effects of demographic change embedded in a framework of endogenous R&D. Substantial changes in fertility and longevity are the two main demographic features that all industrialized countries have experienced during the twentieth century and are still experiencing until today. Although the individual gains of higher life expectancy and better education, initiated by a quantity-quality tradeoff, are huge, there exist concerns about the macroeconomic effects. To improve the understanding about the aforementioned relationships, this work extends the existing literature on the growth effects of population aging by 1) introducing exogenous longevity into a growth framework with vertical innovations; 2) by endogenizing life expectancy in a growth framework with horizontal innovations; and 3) by examining the growth effects of basic scientific knowledge over the very long run. Chapter two contains the first paper titled “Longevity-induced Vertical Innovation and the Tradeoff Between Life and Growth”, which is joint work with Annarita Baldanzi and Klaus Prettner. In this paper, the positive effect of a longer retirement period on individual savings is utilized. A higher exogenous probability to survive to old age raises savings, placing a downward pressure on the market interest rate. On the production side, a lower interest rate increases the present value of holding a patent, which, in turn, makes R&D more profitable. As a result, R&D employment increases, leading to a higher frequency of quality improving ideas and, with it, faster economic growth. It is shown that the relationship between life expectancy and economic growth is strictly positive. In a welfare analysis, the utility gains of living longer are disentangled from the longevity-induced utility gains of higher consumption. The analysis concludes that the direct welfare gains of higher life expectancy, usually, outweigh the indirect welfare gains of faster economic growth. Chapter three contains a single-authored paper and is titled “Endogenous Life Expectancy and R&D-based Economic Growth”. As the title suggests, life expectancy is endogenized and increases in the public resources devoted toward health. Again, the longevity-saving-channel is present. Additionally, a quantity-quality tradeoff is introduced, such that parents have to decide on the number of children to have and on the childrens level of education. Besides the positive saving effect, life expectancy impacts positively on the labor force participation rate and negatively on the fertility rate. The reason is that adults need to work more (at the expense of having fewer children), to compensate for a prolonged retirement period. The feedback effects with production, characterized by horizontal innovation, are then analyzed in a calibrated version of the model. Using U.S. data, the model suggests that the overall effect of life expectancy on economic growth is positive and amounts to 11.9 % of the increases in the real GDP p.c. over the period 1960-2017. From a welfare perspective, the results indicate that the growth-maximizing size of the health care sector might lie beyond what is observed in most industrialized countries, nowadays. The finding that the size of the health care sector that maximizes life expectancy is substantially larger than the growth-maximizing size supports the view to not only consider the growth effects of health care. Chapter four contains the third paper which is co-authored with Klaus Prettner and is titled “The Scientific Revolution and Its Role in the Transition to Sustained Economic Growth”. Basic scientific knowledge is introduced as a necessary input in applied R&D and increases in the number of tinkerers in the economy and in their education. For low levels of development, fertility is high and educational investments are zero. Once income surpasses a certain threshold, education turns positive. Together with the consequent fertility transition, this marks the takeoff to sustained economic growth. It is shown that the growth rate of as well as the access to basic scientific knowledge is crucial in determining the timing and the magnitude of the takeoff. For low growth rates and low access, the takeoff is delayed by up to one generation because applied R&D takes longer to become profitable. In the extreme case of zero basic scientific knowledge, no takeoff might occur at all. The results improve the understanding of economic growth processes over the very long run and provide one possible explanation why some regions experienced the takeoff to sustained economic growth earlier than others.
Going beyond GDP with a parsimonious indicator : inequality-adjusted healthy lifetime income
(2020) Yamey, Gavin; Prettner, Klaus; Ogbuoji, Osondu; Kufenko, Vadim; Fan, Victoria Y.; Bloom, David E.
Per capita GDP has limited use as a well-being indicator because it does not capture many dimensions that imply a “good life,” such as health and equality of opportunity. However, per capita GDP has the virtues of easy interpretation and can be calculated with manageable data requirements. Against this backdrop, a need exists for a measure of well-being that preserves the advantages of per capita GDP, but also includes health and equality. We propose a new parsimonious indicator to fill this gap and calculate it for 149 countries.
Higher education and the fall and rise of inequality
(2016) Prettner, Klaus; Schaefer, Andreas
We investigate the effect of higher education on the evolution of inequality. In so doing we propose a novel overlapping generations model with three social classes: the rich, the middle class, and the poor. We show that there is an initial phase in which no social class invests in higher education of their children such that inequality is driven by bequests. Once a certain income threshold is surpassed, the rich start to invest in higher education of their children, which partially crowds out bequests and thereby reduces income inequality and inheritance flows in the short run. The better educated children of the rich, however, enjoy higher incomes such that inequality starts to rise again. As time goes by, the middle class and potentially also the poor start to invest in higher education. As the economy proceeds toward a balanced growth path, educational differences between social groups and thus inequality decline again. We argue that (1) the proposed mechanism has the potential to explain the U-shaped evolution of income inequality and inheritance flows in rich countries as well as the differential investments in higher education by richer and poorer households, (2) the currently observed increase in inequality is likely to level off in the future.
Longevity-induced vertical innovation and the tradeoff between life and growth
(2017) Baldanzi, Annarita; Prettner, Klaus; Tscheuschner, Paul
We analyze the economic growth effects of rising longevity in a framework of endogenous growth driven by quality-improving innovations. We show that a rise in longevity raises savings and thereby reduces the market interest rate. Since the monopoly profits generated by a successful innovation are discounted by the endogenous market interest rate, this raises the net present value of innovations, which, in turn, fosters R&D. The associated increase in the employment of scientists leads to faster technological progress and a higher long-run economic growth rate. From a welfare perspective, we show that the direct effect of an increase in life expectancy on lifetime utility is much larger than the indirect effect of the induced higher consumption due to faster economic growth. Consequently, the debate on rising health care expenditures should not predominantly be based on the growth effects of health care.
On the possibility of automation-induced stagnation
(2017) Gasteiger, Emanuel; Prettner, Klaus
We analyze the long-run growth effects of automation in the standard overlapping generations framework. We show that, in contrast to other neoclassical models of capital accumulation, automation does not promote growth but induces economic stagnation. The reason is that automation suppresses wages, which are the only source of investment in the overlapping generations framework.
Relative consumption, relative wealth, and long-run growth : when and why is the standard analysis prone to erroneous conclusions?
(2019) Prettner, Klaus; Hof, Franz X.
We employ a novel approach for analyzing the effects of relative consumption and relative wealth preferences on both the decentralized and the socially optimal economic growth rates. In the pertinent literature these effects are usually assessed by examining the dependence of the growth rates on the two parameters of the instantaneous utility function that seem to measure the strength of the relative consumption and the relative wealth motive. We go beyond the sole consideration of parameters by revealing the fundamental factors that ultimately determine long-run growth. In doing so we identify widely used types of status preferences in which the traditional approach is prone to erroneous conclusions. For example, in one of these specifications the parameter that seems to determine the strength of the relative consumption motive actually also affects the strength of the relative wealth motive and the elasticity of intertemporal substitution.
Rising longevity, increasing the retirement age, and the consequences for knowledge-based long-run growth
(2020) Prettner, Klaus; Kuhn, Michael
We assess the long-run growth effects of rising longevity and increasing the retirement age when growth is driven by purposeful research and development. In contrast to economies in which growth depends on learning-by-doing spillovers, raising the retirement age fosters economic growth. How economic growth changes in response to rising life expectancy depends on the retirement response. Employing numerical analysis we find that the requirement for experiencing a growth stimulus from rising longevity is fulfilled for the United States, nearly met for the average OECD economy, but missed by the EU and by Japan.
Robots and the skill premium : an automation-based explanation of wage inequality
(2017) Lankisch, Clemens; Prettner, Klaus; Prskawetz, Alexia
We analyze the effects of automation on the wages of high-skilled and low- skilled workers and thereby on the evolution of wage inequality. Our model explains the simultaneous presence of i) increasing per capita GDP, ii) de-clining real wages of low-skilled workers, and iii) an increasing skill-premium. These developments are consistent with the experience in the United States over the past decades and have the potential to contribute to the explanation of the rise in overall incomeinequality that we have observed since the 1980s.
Technological unemployment revisited : automation in a searchand matching framework
(2018) Prettner, Klaus; Cords, Dario
Will low-skilled workers be replaced by automation? To answer this question, we set up a search and matching model that features two skill types of workers and includes automation capital as an additional production factor. Automation capital is a perfect substitute for low-skilled workers and an imperfect substitute for high-skilled workers. Using this type of model, we show that the accumulation of automation capital decreases the labor market tightness in the low-skilled labor market and increases the labor market tightness in the high-skilled labor market. This leads to a rising unemployment rate of low-skilled workers and a falling un- employment rate of high-skilled workers. In addition, automation leads to falling wages of low-skilled workers and rising wages of high-skilled workers.
The contribution of female health to economic development
(2016) Prettner, Klaus; Kuhny, Michael; Bloom, David E.
We analyze the economic consequences for less developed countries of investing in female health. We do this through developing and calibrating a novel micro-founded dynamic general equilibrium model in which parents trade off the number of children against investments in their education and in which we allow for health-related gender differences in productivity. We show that better female health speeds up the demographic transition and thereby the take-off toward sustained economic growth. By contrast, male health improvements delay the transition and take-off because ceteris paribus they raise fertility. Investing in female health is therefore a potent lever for promoting development.
The economic burden of chronic diseases : estimates and projections for China, Japan, and South Korea
(2017) Prettner, Klaus; Oxley, Les; Bloom, David E.; Chen, Simiao; Kuhn, Michael; McGovern, Mark E.
We propose a novel framework to analyse the macroeconomic impact of noncommunicable diseases. We incorporate measures of disease prevalence into a human capital augmented production function, which enables us to determine the economic costs of chronic health conditions in terms of foregone gross domestic product (GDP). Unlike previously adopted frameworks, this approach allows us to account for i) variations in human capital for workers in different age groups, ii) mortality and morbidity effects of non-communicable diseases, and iii) the treatment costs of diseases. We apply our methodology to China, Japan, and South Korea, and estimate the economic burden of chronic conditions in five domains (cardiovascular diseases, cancer, respiratory diseases, diabetes, and mental health conditions). Overall, total losses associated with these non-communicable diseases over the period 2010-2030 are $16 trillion for China (measured in real USD with the base year 2010), $5.7 trillion for Japan, and $1.5 trillion for South Korea. Our results also highlight the limits of cost-effectiveness analysis by identifying some intervention strategies to reduce disease prevalence in China that are cost beneficial and therefore a rational use of resources, though they are not cost-effective as judged by conventional thresholds.
The implications of automation for economic growth and the labor share
(2016) Prettner, Klaus
We introduce automation into a standard model of capital accumulation and show that (i) there is the possibility of perpetual growth, even in the absence of technological progress; (ii) the long-run economic growth rate declines with population growth, which is consistent with the available empirical evidence; (iii)there is a unique share of savings diverted to automation that maximizes long-run growth; (iv) the labor share declines with automation to an extent that fits to the observed pattern over the last decades.
The lost race against the machine : automation, education and inequality in an R&D-based growth model
(2017) Prettner, Klaus; Strulik, Holger
We analyze the effect of automation on economic growth and inequality in an R&D-based growth model with two types of labor: highskilled labor that is complementary to machines and low-skilled labor that is a substitute for machines. The model predicts that innovationdriven growth leads to increasing automation, an increasing skill premium, an increasing population share of graduates, increasing income and wealth inequality, a declining labor share, and (in an extension of the basic model) increasing unemployment. In contrast to Pikettys famous claim that faster economic growth reduces inequality, our theory predicts that faster economic growth promotes inequality.
The quest for status and R&D-based growth
(2016) Prettner, Klaus; Hof, Franz X.
We analyze the impact of status preferences on technological progress and long-run economic growth within an R&D-based framework. For this purpose, we extend the standard relative wealth approach by allowing the various assets held by households to differ with respect to their status relevance. Relative wealth preferences imply that the effective rate of return on saving in the form of a particular asset is the sum of its market rate of return and its status-related extra return. We show that the status relevance of shares issued by entrants to finance the purchase of new technologies is of crucial importance for long-run growth: First, an increase in the intensity of the quest for status raises the steady-state economic growth rate only if the status-related extra return of these shares is strictly positive. Second, for any given degree of status consciousness, the long-run economic growth rate depends positively on the relative status relevance of shares issued by entrants. Third, while the decentralized long-run economic growth rate is less than its socially optimal counterpart in the standard model, wealth externalities reduce this distortion.