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No. Author(s) Title JEL Class.
8662 Max Nathan
Anna Rosso
Francois Bouet
Mapping 'Information Economy' Businesses with Big Data: Findings for the UK
Governments around the world want to develop their ICT and digital industries. Policymakers thus need a clear sense of the size and characteristics of digital businesses, but this is hard to do with ...
(published in: Research Policy, 2015, 44 (9), 1714 - 1733)
C55, C81, L63, L86, O38
8661 Badi H. Baltagi
Georges Bresson
Anoop Chaturvedi
Guy Lacroix
Robust Linear Static Panel Data Models Using ?-Contamination
The paper develops a general Bayesian framework for robust linear static panel data models using ?-contamination. A two-step approach is employed to derive the conditional type-II maximum likelihood ...
(Published in: Journal of Econometrics, 2018, 202(1), 108-123)
C11, C23, C26
8659 Dayanand Manoli
Kathleen Mullen
Mathis Wagner
Policy Variation, Labor Supply Elasticities, and a Structural Model of Retirement
This paper exploits a combination of policy variation from multiple pension reforms in Austria and administrative data from the Austrian Social Security Database. Using the policy changes for ...
(published in: Economic Inquiry, 2015, 53 (4), 1702-1717)
J26, H55
8658 Luc Bissonnette
Michael D. Hurd
Pierre-Carl Michaud
Individual Survival Curves Comparing Subjective and Observed Mortality Risks
In this paper, we compare individual survival curves constructed from objective (actual mortality) and elicited subjective information (probability of survival to a given target age). We develop a ...
(published in: Health Economics, 2017, 26 (12), e285-e303)
C81, D84, I10
8656 Andrew E. Clark
Conchita D'Ambrosio
Simone Ghislandi
Adaptation to Poverty in Long-Run Panel Data
We consider the link between poverty and subjective well-being, and focus in particular on potential adaptation to poverty. We use panel data on almost 54,000 individuals living in Germany from 1985 ...
(published in: Review of Economics and Statistics, 2016, 98 (3), 591–600)
I31, D60
8654 Nauro F. Campos
Menelaos G. Karanasos
Bin Tan
From Riches to Rags, and Back? Institutional Change, Financial Development and Economic Growth in Argentina since the 1890s
Argentina is the only country in the world that was "developed" in 1900 and "developing" in 2000. The various competing explanations highlight, mainly, the roles of trade openness, political ...
(published in: Journal of Development Studies, 2016, 52(2), 206 - 223)
C14, O40, E23, D72
8653 Gil S. Epstein
Ira N. Gang
Making Aid Work: Governance and Decentralization
Donor aid organizations (DAOs) are multi-layered and multi-dimensional bureaucracies with many departments trying to find solutions to problems for countries, investing staff resources and effort ...
(published in: in Mak Arvin (ed.): Handbook on the Economics of Foreign Aid, Edward Elgar, 2015, 488 - 502)
O10, O19, F35
8651 Alina Sorgner
Michael Fritsch
Alexander S. Kritikos
Do Entrepreneurs Really Earn Less?
Based on representative micro data for Germany, we compare the incomes of self-employed with those of wage workers. Our results show that the median self-employed entrepreneur with employees earns ...
(revised version published in: Small Business Economics, 2017, 49 (2), 251–272)
L26, D22
8649 Antonio Cabrales
Juan J. Dolado
Ricardo Mora
Dual Labour Markets and (Lack of) On-the-Job Training: PIAAC Evidence from Spain and Other EU Countries
Using the Spanish micro data from the Programme for the International Assessment of Adult Competencies (PIAAC), we first document how the excessive gap in employment protection between indefinite and ...
(published in SERIEs Journal of the Spanish Economic Association (2017), 8, 345-371.)
C14, C52, D24, J24
8648 Werner Eichhorst
Michael Jan Kendzia
Workforce Segmentation in Germany: From the Founding Era to the Present Time
Despite a more recent debate about ever deeper segmentation, we argue that since industrialization, Germany has continually experienced a dual labor market. One segment contains the primary segment ...
(published in: Journal for Labour Market Research, 2016, 49 (4), 297–315)
N34, J42
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