Marianne Saam
Zentrum für Europäische Wirtschaftsforschung
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Marianne Saam.
Review of Income and Wealth | 2013
Thomas Niebel; Mary O'Mahony; Marianne Saam
In this paper we report on new data on intangible investment at the level of 1-digit NACE industries of 10 EU countries. The data are constructed as a sectoral breakdown of the INTANInvest database, which contains measures of intangible investment at the level of the aggregate business sector. With the sectoral data we assess the contribution of intangibles to productivity growth based on growth accounting and econometric estimation of production functions. The growth accounting contribution of intangibles to labor productivity growth is generally highest in manufacturing and finance. The estimated output elasticity of intangibles lies between 0.1 and 0.2, considerably below values found in previous research using aggregate data.
Schmollers Jahrbuch | 2011
Katja Coneus; Johannes Gernandt; Marianne Saam
We analyse the determinants of dropout from secondary and vocational education in Germany using data from the Socio-Economic Panel from 2000 to 2007. In addition to the role of classical variables like family background and school achievements, we examine the effect of noncognitive skills. Both, better school grades and higher noncognitive skills reduce the risk to become an educational dropout. The influence of school achievements on the dropout probability tends to decrease and the influence of noncognitive skills tends to increase with age.
The Review of Economics and Statistics | 2017
Chris Papageorgiou; Marianne Saam; Patrick Schulte
In macroeconomic models, the elasticity of substitution between clean and dirty energy inputs within the energy aggregate is a central parameter in assessing the necessary conditions for long-run green growth. Using new sectoral data in a panel of 26 countries, we formulate specifications of nested constant elasticity of substitution production functions that allow estimating this parameter for the first time. We present evidence that it significantly exceeds unity, a favorable condition for promoting green growth.
Annual Conference 2014 (Hamburg): Evidence-based Economic Policy | 2013
Chris Papageorgiou; Marianne Saam; Patrick Schulte
Recently Acemolgu, Aghion, Bursztyn and Hemous (AER 2012) formulated a model in which a high macroeconomic elasticity of substitution between clean and dirty production represents a crucial condition for green growth. Until now it has never been systematically estimated. Using a novel panel of cross-country sectoral data, we formulate specifications of nested CES production functions that allow to estimate a special case of this parameter: the elasticity of substitution between clean and dirty energy inputs. Contrary to what is expected based on the earlier interfuel substitution literature, we find evidence that this elasticity exceeds one.
Archive | 2008
Katja Coneus; Johannes Gernandt; Marianne Saam
Using data from the German Socio-Economic Panel for the years 2000 to 2006 we analyze the determinants and labor market effects of educational dropout. In addition to classical variables like family background and occupation, we examine noncognitive skills and Internet use. Noncognitive skills and Internet availability at home are negatively associated with the probability of becoming an educational dropout. The wage gap between dropouts and those with completed school and professional education vanishes for males once we control for additional characteristics such as occupations, professional Internet use and noncognitive skills. For females it is reduced to four percent.
Archive | 2014
Marianne Saam
Technical change that augments capital and labor input in a non-neutral way plays an important role in explaining the relation between growth and other macroeconomic outcomes. Previous research has shown that restricting technical change to be neutral leads to overestimating the elasticity of substitution between capital and labor. I extend this line of analysis to misspecification of the functional form. Evidence from Monte Carlo simulations shows that the problem of biased estimates of the direction of technical change is relevant in the estimation of aggregate CES and translog production functions. In particular, I find examples where true technical change is neutral and estimated technical change is strongly directed towards one factor.
Review of Income and Wealth | 2016
Thomas Niebel; Marianne Saam
We revisit the widely discussed contribution of investment in ICT to economic growth, focusing on differences in productivity and quality of ICT across countries and time. In a growth accounting approach, we look at the way rates of return and rates of asset price decline measure these aspects. Conducting a sensitivity analysis with data from the EU KLEMS database for the years 1990–2007, we introduce a constant rate of return and a constant rate of ICT price decline. Both alternative measurements somewhat downplay the role investment played relative to growth in multifactor productivity in the U.K. and the U.S. during 1995–2000. Moreover, we show that more than half of the ICT contribution to labor productivity growth results from changes in capital quality and composition rather than from quantity.
Archive | 2016
Olga Slivko; Michael E. Kummer; Marianne Saam
Several instances of successful online mass collaboration have recently generated large amounts of data. These datasets are very appealing for empirical research on patterns and drivers of mass collaboration in a wide range of social science disciplines. However, their complexity, the presence of network effects, and multidirectional nature of the causal mechanisms at play often raise substantial challenges to empirical researchers. In this chapter, we discuss the econometric approach to mass collaboration, focusing on the methodological challenges of causal identification and the interpretation of how some factors affect others. Our chapter provides methodological tools for causal identification of effects in observational data from mass collaboration platforms. Specifically, we present two quasi-experimental methods, natural experiments and instrumental variables, in detail and show applications using examples from our own research.
Archive | 2011
Thomas Niebel; Marianne Saam
We investigate the role rates of return and rates of asset price decline play in explaining sources of productivity growth in the context of a growth accounting approach. Our analysis is based on data from the EU KLEMS database for seven countries in the period of 1990 - 2007. We introduce a constant rate of return to capital and a constant rate of ICT price decline across sectors, countries and time. The main result of this sensitivity analysis is that both alternative measurements somewhat downplay the role investment played relative to growth in multi-factor productivity in the UK and the US during 1995 - 2000. Moreover, we show that more than half of the ICT contribution to labor productivity growth results from growth in capital quality and composition rather than quantity.
The Scandinavian Journal of Economics | 2008
Chris Papageorgiou; Marianne Saam