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We use an excludable instrument to test the effect of bilateral foreign aid on economic growth in a sample of 96 recipient countries over the 1974-2009 period. We interact donor government fractionalization with a recipient country’s probability of receiving aid. The results show that fractionalization increases donors’ aid budgets, representing the over-time variation of our instrument, while the probability of receiving aid introduces variation across recipient countries. Controlling for country- and period-specific effects that capture the levels of the interacted variables, the interaction provides a powerful and excludable instru-ment. Making use of the instrument, our results show no significant effect of aid on growth in the overall sample. We also investigate the effect of aid on consumption, savings, and investments, and split the sample according to the quality of economic policy, democracy, and the Cold War period. With the excep-tion of the post-Cold War period (where abundant aid reduces growth), we find no significant effect of aid on growth in any of these sub-samples. None of the other outcomes are affected by aid.

WWWforEurope Working Paper No. 11, 35 Pages High inter-country variability characterises the responsiveness of both output to (exogenous) shocks and employment to output contractions. We argue that intercountry differences in firm-size distributions contribute to explaining this variability. Within an open economy model, we show that competitive selection processes are an important channel through which a shock affects aggregate employment. Intra-industry selection is then shown to influence the effectiveness of active labour market policies in countering the employment and welfare effects of a negative shock. We estimate a measure of the shape parameter of firm size distribution and study its effect on the employment-output relationship for a number of OECD countries. Our results confirm the key predictions of the theory.

Dose finding studies often compare several doses of a new compound with a marketed standard treatment as an active control. In the past, however, research has focused mostly on experimental designs for placebo-controlled dose finding studies. To the best of our knowledge, optimal designs for dose finding studies with an active control have not been considered so far. As the statistical analysis for an active controlled dose finding study can be formulated in terms of a mixture of two regression models, the related design problem is different to what has been investigated before in the literature. We present a rigorous approach to the problem of determining optimal designs for estimating the smallest dose achieving the same treatment effect as the active control. We determine explicitly the locally optimal designs for a broad class of models employed in such studies. We also discuss robust design strategies and determine related Bayesian and standardized minimax optimal designs. We illustrate the results by investigating alternative designs for a clinical trial which has recently appeared in a consulting project of one of the authors. Discussion Paper / SFB 823;37/2011

Förderkennzeichen: 01GP1606A-C

Evidence for Higgs boson decay to a pair of muons is presented. This result combines searches in four exclusive categories targeting the production of the Higgs boson via gluon fusion, via vector boson fusion, in association with a vector boson, and in association with a top quark-antiquark pair. The analysis is performed using proton-proton collision data at s√ = 13 TeV, corresponding to an integrated luminosity of 137 fb−1, recorded by the CMS experiment at the CERN LHC. An excess of events over the back- ground expectation is observed in data with a significance of 3.0 standard deviations, where the expectation for the standard model (SM) Higgs boson with mass of 125.38 GeV is 2.5. The combination of this result with that from data recorded at s√ = 7 and 8 TeV, corresponding to integrated luminosities of 5.1 and 19.7 fb−1, respectively, increases both the expected and observed significances by 1%. The measured signal strength, relative to the SM prediction, is 1.19+0.40−0.39(stat)+0.15−0.14(syst). This result constitutes the first evidence for the decay of the Higgs boson to second generation fermions and is the most precise measurement of the Higgs boson coupling to muons reported to date. Individuals have received support from the Marie-Curie programme and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias. CMS collaboration: et al. Peer reviewed

Collecting and analyzing evolving longitudinal data has become a common practice. One possible approach to protect the users' privacy in this context is to use local differential privacy (LDP) protocols, which ensure the privacy protection of all users even in the case of a breach or data misuse. Existing LDP data collection protocols such as Google's RAPPOR and Microsoft's dBitFlipPM can have longitudinal privacy linear to the domain size k, which is excessive for large domains, such as Internet domains. To solve this issue, in this paper we introduce a new LDP data collection protocol for longitudinal frequency monitoring named LOngitudinal LOcal HAshing (LOLOHA) with formal privacy guarantees. In addition, the privacy-utility trade-off of our protocol is only linear with respect to a reduced domain size $2\leq g \ll k$. LOLOHA combines a domain reduction approach via local hashing with double randomization to minimize the privacy leakage incurred by data updates. As demonstrated by our theoretical analysis as well as our experimental evaluation, LOLOHA achieves a utility competitive to current state-of-the-art protocols, while substantially minimizing the longitudinal privacy budget consumption by up to k/g orders of magnitude. Comment: Accepted at EDBT 2023. Updated structure and correcting privacy loss of dBitFlipPM

We show that the efficient allocation of production capacity can turn a competitive industry and downstream market into an imperfectly competitive one. Even though downstream firms have symmetric production technologies, the downstream industry structure will be symmmetric only if capacity is sufficiently scarce. Otherwise it will be asymmetric, with one large fat capacity-hoarding firm and a fringe of smaller lean and fit firms, so that Tobin`s Q varies inversely with firm size. This is so even if the number of firms is infinitely large. As demand or input quantity varies, the industry may switch between symmetric and asymmetric phases, generating predictions for firm size and costs across the business cycle. Surprisingly, an increase in available capacity resulting in such a switch can cause a reduction in total output and consumer surplus.

IN03185 Tammannǟgala Moonstone Inscription - Transcript and Translation Source: Paranavitana, S. (1934–41). ‘No. 17. Seven Sinhalese Inscriptions of the Seventh and Eighth Centuries,’ Epigraphia Zeylanica 4, pp. 148–149, no. 17, VI.

The purpose of this study is to examine if and how the EU CBAM influences the climate policy debate in Ukraine, one of the countries that is expected to be most affected due to its large share of carbon- intensive exports to the EU. The study seeks to find out how the EU CBAM can be made more instrumental in promoting an increase in the country���s climate policy ambition. IASS Study, October 2021

Diese Studie beschäftigt sich mit der gemeinsamen Wissenskonstruktion in Videokonferenzen. Die Hauptfragestellung befasst sich mit Prädiktoren für den individuellen Lernerfolg, insbesondere inwieweit dieser vom individuellen Vorwissen der Lernenden und der gemeinsamen Wissenskonstruktion beeinflusst wird. In diesem Kontext wird analysiert, inwiefern das individuelle Vorwissen und zwei Unterstützungsmaßnahmen - Wissensschema und Kooperationsskript - Einfluss auf die gemeinsame Wissenskonstruktion nehmen. An der empirischen Studie nahmen 159 Universitätsstudierende teil. Diese lernten kooperativ in Dreiergruppen in einer fallbasierten Lernumgebung in Videokonferenzen und erhielten dabei instruktionale Unterstützung. Die Ergebnisse zeigen, dass die gemeinsame Wissenskonstruktion einen größeren Einfluss auf die individuellen Lernerfolge hatte, als individuelles Vorwissen. This paper deals with collaborative knowledge construction in videoconferencing. The main issue is about how to predict individual learning outcome, in particular how far individual prior knowledge and the collaborative knowledge construction can influence individual learning outcomes. In this context, the influence of prior knowledge and two measures of instructional support, a collaboration script and a content scheme were analyzed concerning the collaborative knowledge construction. An empirical study was conducted with 159 university students as sample. Students learned collaboratively in groups of three in a case based learning environment in videoconferencing and were supported by the instructional support measures. Results show that collaborative knowledge construction had more impact on individual learning outcome than individual prior knowledge.