IZA - All published DPs

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No. Author(s) Title JEL Class.
12158 Seth Gershenson
Morgan S. Polikoff
Rui Wang
When Paywall Goes AWOL: The Demand for Open Access Education Research
As universities cut library funding and forego expensive journal subscriptions, many academic organizations and researchers, including the American Educational Research Association (AERA), are moving ...
(published in: Educational Researcher, 2020, 49(4): 254-261.)
L17, O33
12157 Katja Görlitz
Merlin Penny
Marcus Tamm
The Long-Term Effect of Age at School Entry on Competencies in Adulthood
The previous literature has shown that children who enter school at a more advanced age outperform their younger classmates on competency tests taken between kindergarten and Grade 10. This study ...
(revised version published as 'The long-term effect of age at school entry on cognitive competencies in adulthood' in: Journal of Economic Behavior and Organization, 2022, 194, 91 - 104)
I21, J21, J31
12155 Daniele Checchi
Alberto Ciolfi
Gianni De Fraja
Irene Mazzotta
Stefano Verzillo
Have You Read This? An Empirical Comparison of the British REF Peer Review and the Italian VQR Bibliometric Algorithm
This paper determines the ranking of the publications units of assessment which were submitted to the UK research evaluation carried out in 2014, the REF, which would have been obtained if their ...
(published in Economica, 2021, 88 (352), 1107-1129)
I23, I28
12154 David S. Lee
Pauline Leung
Christopher J. O'Leary
Zhuan Pei
Simon Quach
Are Sufficient Statistics Necessary? Nonparametric Measurement of Deadweight Loss from Unemployment Insurance
Central to the welfare analysis of income transfer programs is the deadweight loss associated with possible reforms. To aid analytical tractability, its measurement typically requires specifying a ...
(published in: Journal of Labor Economics, 2021, 39 (S2), S455-S506.)
C14, C20, C31, H2, H23, J64, J65, J68
12151 Bruce D. Meyer
Nikolas Mittag
An Empirical Total Survey Error Decomposition Using Data Combination
Survey error is known to be pervasive and to bias even simple, but important estimates of means, rates, and totals, such as poverty statistics and the unemployment rate. To summarize and analyze the ...
(published in: Journal of Econometrics, 2021, 224 (2), 286-305)
C18, C81, C83, D31, I38
12149 Terra McKinnish
Overwork in Spouse's Degree Field and the Labor Market Outcomes of Skilled Women
This paper estimates the effect of overwork and underwork in husband's undergraduate degree field on the labor market outcomes of skilled married women using 2009-2015 ACS data. Overwork and ...
(published as 'Prevalence of Long Work Hours by Spouse’s Degree Field and the Labor Market Outcomes of Skilled Women' in: ILR Review, 2021, 74 (4), 898-919)
J16, J22
12147 Zhengyu Cai
Heather M. Stephens
John V. Winters
Motherhood, Migration, and Self-Employment of College Graduates
Women face unique challenges in starting and running their own businesses and may have differing motives to men for pursuing self-employment. Previous research suggests that married women with ...
(published in: Small Business Economics, 2019, 53 (3), 611-629)
J13, J22, L26
12143 Nils van Damme
Stijn Baert
Home Advantage in European International Soccer: Which Dimension of Distance Matters?
We investigate whether the home advantage in soccer differs by various dimensions of distance between the (regions of the) home and away teams: geographical distance, climatic differences, cultural ...
(revised version published in: Economics, 2019, 13 (1), 20190050)
L83, J44, Z00
12142 Olivier Verstraeten
Stijn Baert
Twelve Eyes See More Than Eight. Referee Bias and the Introduction of Additional Assistant Referees in Soccer
We are the first to investigate whether the introduction of additional assistant referees in the UEFA Europa League (in season 2009-2010) and the UEFA Champions League (in season 2010-2011) was ...
(revised version published in: Plos One, 2020, 15 (2), e0227758)
L83, J44, Z00
12141 Wim Naudé
Aleksander Surdej
Martin Cameron
The Past and Future of Manufacturing in Central and Eastern Europe: Ready for Industry 4.0?
In this paper we determine the industry 4.0 (I4.0) readiness of eight Central and Eastern European countries (CEECs): Bulgaria, the Czech Republic, Lithuania, Hungary, Poland, Romania, the Slovak ...
(published as 'Ready for Industry 4.0? The Case of Central and Eastern Europe' in: Mohammad Dastbaz, Peter Cochrane (eds.), Industry 4.0 and Engineering for the Future, Springer International, 2019, 153-175)
O14, O25, O33, O52, P27
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