http://hdl.handle.net/2451/74526 Social Science Division Working Papers at NYUAD Thu, 21 May 2026 16:44:00 GMT 2026-05-21T16:44:00Z http://hdl.handle.net/2451/75712 Title: Gender differences in recognition for group work Authors: Sarsons, Heather; Gërxhani, Klarita; Reuben, Ernesto; Schram, Arthur Abstract: We study whether gender influences credit attribution for group work using observational data and two experiments. We use data from academic economists to test whether coauthorship matters differently for tenure for men and women. We find that conditional on quality and other observables, men are tenured similarly regardless of whether they coauthor or solo-author. Women, however, are less likely to receive tenure the more they coauthor. We then conduct two experiments that demonstrate that biases in credit attribution in settings without confounds exist. Taken together, our results are best explained by gender and stereotypes influencing credit attribution for group work. Wed, 01 Apr 2020 00:00:00 GMT http://hdl.handle.net/2451/75712 2020-04-01T00:00:00Z http://hdl.handle.net/2451/75711 Title: Extension of the franchise and government expenditure on public goods: Evidence from nineteenth-century England Authors: Chapman, Jonathan Abstract: This paper develops a model predicting that the extent of the franchise has an inverted-U-relationship with government expenditure on public goods. Extending the right to vote from the rich to the middle class leads to increased spending, but further extensions lead to declines in expenditure. This prediction is tested by constructing a dataset of town council expenditure in Britain between 1867 and 1910. The effect of franchise extension is identified by exploiting regional and temporal variation in the right to vote. The results show strong support for the theoretical prediction, with government spending highest when around 50% of the adult male population was enfranchised. Thu, 26 Mar 2020 00:00:00 GMT http://hdl.handle.net/2451/75711 2020-03-26T00:00:00Z http://hdl.handle.net/2451/75710 Title: Does selection bias cause us to overestimate gender differences in competitiveness? Authors: Dariel, Aurélie; Nikiforakis, Nikos; Stoop, Jan Abstract: Experimental evidence suggests there is a substantial difference in the willingness of men and women to compete that could help explain the gender gap in labor market outcomes. The use of volunteer samples, however, raises a question about whether self-selection into experiments biases the estimated difference in competitiveness. To address it, we first measure the willingness of 1,145 individuals to compete in a classroom experiment. We then identify among them the subset of ‘lab volunteers’ by observing who accepts an invitation to participate in lab experiments. To test for the existence of selection bias, we compare the gender gap among lab volunteers to that in the population from which they were recruited. We find that selection causes us to overestimate the gender gap in competitiveness by 16 percentage points in absolute terms and, in relative terms, by a factor of 2 to 3 depending on the econometric model. We also show that selection causes us to significantly overestimate the gender gap in risk attitudes and the tendency of low-performing men to select into competition. We present evidence men and women select differently into the lab, and discuss the implications of our findings for future research. Fri, 01 May 2020 00:00:00 GMT http://hdl.handle.net/2451/75710 2020-05-01T00:00:00Z http://hdl.handle.net/2451/75709 Title: High order openness Authors: Imbs, Jean; Pauwels, Laurent L. Abstract: We propose a new measure of high order trade, labeled HOT, based on the fraction of a sector's downstream uses that cross a border. Because it decomposes gross output, HOT evaluates a sector's exposure to foreign shocks abstracting altogether from observed direct trade, which we exploit to construct instruments for openness. For the same reason, we can evaluate HOT with precision for activities where measured direct trade is essentially zero, like some services. We compute HOT and its instruments for 50 sectors in 43 countries using recently released data on international input-output linkages. We compare its properties with conventional measures that all rely on observed direct trade. HOT correlates positively with conventional trade measures across countries, much less across sectors as many more are open according to our measure. HOT correlates significantly with sector productivity, growth, and synchronization; none of the conventional measures do. Once instrumented, we show high order openness causes productivity and synchronization, but not growth. Wed, 03 Jun 2020 00:00:00 GMT http://hdl.handle.net/2451/75709 2020-06-03T00:00:00Z