CESifo: Economics of Digitization (Topic)最新文献

Impact of Roaming Regulation on Revenues and Prices of Mobile Operators in the EU 漫游法规对欧盟移动运营商收入和价格的影响

CESifo: Economics of Digitization (Topic) Pub Date : 2023-02-01 DOI: 10.2139/ssrn.3904537

L. Grzybowski, Ángela Muñoz-Acevedo

引用次数: 2

Selling Cross-Border in Online Markets: The Impact of the Ban on Geoblocking Strategies 网络市场跨境销售:禁令对地理封锁策略的影响

CESifo: Economics of Digitization (Topic) Pub Date : 2022-11-01 DOI: 10.2139/ssrn.3731987

M. Bourreau, Fabio M. Manenti

引用次数: 0

Does Telecommuting Reduce Commuting Emissions? 远程办公能减少通勤排放吗?

CESifo: Economics of Digitization (Topic) Pub Date : 2022-09-01 DOI: 10.2139/ssrn.3945279

Waldemar Marz, Suphi Şen

引用次数: 2

The Impact of the German 'DEAL' on Competition in the Academic Publishing Market 德国“DEAL”对学术出版市场竞争的影响

CESifo: Economics of Digitization (Topic) Pub Date : 2021-11-24 DOI: 10.2139/ssrn.3815451

Justus Haucap, Nima Moshgbar, W. Schmal

{"title":"The Impact of the German 'DEAL' on Competition in the Academic Publishing Market","authors":"Justus Haucap, Nima Moshgbar, W. Schmal","doi":"10.2139/ssrn.3815451","DOIUrl":"https://doi.org/10.2139/ssrn.3815451","url":null,"abstract":"The German DEAL agreements between German universities and research institutions on the one side and Springer Nature and Wiley on the other side facilitate easy open access publishing for researchers located in Germany. We use a dataset of all publications in chemistry from 2016 to 2020 and apply a difference-in-differences approach to estimate the impact on eligible scientists’ choice of publication outlet. We find that even in the short period following the conclusion of these DEAL agreements, publication patterns in the field of chemistry have changed, as eligible researchers have increased their publications in Wiley and Springer Nature journals at the cost of other journals. From that two related competition concerns emerge: First, academic libraries may be, at least in the long run, left with fewer funds and incentives to subscribe to non-DEAL journals published by smaller publishers or to fund open access publications in these journals. Secondly, eligible authors may prefer to publish in journals included in the DEAL agreements, thereby giving DEAL journals a competitive advantage over non-DEAL journals in attracting good papers. Given the two-sided market nature of the academic journal market, these effects may both further spur the concentration process in this market.","PeriodicalId":217784,"journal":{"name":"CESifo: Economics of Digitization (Topic)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126865132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

A Bias-Corrected CD Test for Error Cross-Sectional Dependence in Panel Data Models with Latent Factors 具有潜在因素的面板数据模型中误差横截面相关性的偏差校正CD检验

CESifo: Economics of Digitization (Topic) Pub Date : 2021-09-01 DOI: 10.2139/ssrn.3904536

M. Pesaran, Yimeng Xie

{"title":"A Bias-Corrected CD Test for Error Cross-Sectional Dependence in Panel Data Models with Latent Factors","authors":"M. Pesaran, Yimeng Xie","doi":"10.2139/ssrn.3904536","DOIUrl":"https://doi.org/10.2139/ssrn.3904536","url":null,"abstract":"In a recent paper Juodis and Reese (2021) (JR) show that the application of the CD test proposed by Pesaran (2004) to residuals from panels with latent factors results in over-rejection and propose a randomized test statistic to correct for over-rejection, and add a screening component to achieve power. This paper considers the same problem but from a different perspective and shows that the standard CD test remains valid if the latent factors are weak, and proposes a simple bias-corrected CD test, labelled CD*, which is shown to be asymptotically normal, irrespective of whether the latent factors are weak or strong. This result is shown to hold for pure latent factor models as well as for panel regressions with latent factors. Small sample properties of the CD* test are investigated by Monte Carlo experiments and are shown to have the correct size and satisfactory power for both Gaussian and non-Gaussian errors. In contrast, it is found that JR's test tends to over-reject in the case of panels with non-Gaussian errors, and have low power against spatial network alternatives. The use of the CD* test is illustrated with two empirical applications from the literature.","PeriodicalId":217784,"journal":{"name":"CESifo: Economics of Digitization (Topic)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128112073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment 使用预测分析来跟踪学生:来自七所大学实验的证据

CESifo: Economics of Digitization (Topic) Pub Date : 2021-06-01 DOI: 10.1257/rct.7827

Peter Bergman, E. Kopko, Julio Rodriguez

{"title":"Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment","authors":"Peter Bergman, E. Kopko, Julio Rodriguez","doi":"10.1257/rct.7827","DOIUrl":"https://doi.org/10.1257/rct.7827","url":null,"abstract":"Tracking is widespread in U.S. education. In post-secondary education alone, at least 71% of colleges use a test to track students. However, there are concerns that the most frequently used college placement exams lack validity and reliability, and unnecessarily place students from under-represented groups into remedial courses. While recent research has shown that tracking can have positive effects on student learning, inaccurate placement has consequences: students face misaligned curricula and must pay tuition for remedial courses that do not bear credits toward graduation. We develop an alternative system to place students that uses predictive analytics to combine multiple measures into a placement instrument. Compared to colleges’ existing placement tests, the algorithm is more predictive of future performance. We then conduct an experiment across seven colleges to evaluate the algorithm’s effects on students. Placement rates into college-level courses increased substantially without reducing pass rates. Adjusting for multiple testing, algorithmic placement generally, though not always, narrowed gaps in college placement rates and remedial course taking across demographic groups. A detailed cost analysis shows that the algorithmic placement system is socially efficient: it saves costs for students while increasing college credits earned, which more than offsets increased costs for colleges. Costs could be reduced with improved data digitization as opposed to entering data by hand.","PeriodicalId":217784,"journal":{"name":"CESifo: Economics of Digitization (Topic)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124576303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Reputation in the Long-Run 长期的声誉

CESifo: Economics of Digitization (Topic) Pub Date : 2017-11-28 DOI: 10.2139/ssrn.3103688

Apostolos Filippas, J. Horton, Joseph M. Golden

引用次数: 16

Does Envelopment Through Data Advantage Call for New Regulation? 数据优势带来的包络效应需要新的监管吗?

CESifo: Economics of Digitization (Topic) Pub Date : 1900-01-01 DOI: 10.2139/ssrn.3805458

Gregor Langus, V. Lipatov

引用次数: 2

Did COVID-19 Affect the Division of Labor within the Household? Evidence from Two Waves of the Pandemic in Italy COVID-19是否影响了家庭内部的分工?来自意大利两波大流行的证据

CESifo: Economics of Digitization (Topic) Pub Date : 1900-01-01 DOI: 10.2139/ssrn.3863828

D. Boca, Noemi Oggero, P. Profeta, Mariachristina Rossi

{"title":"Did COVID-19 Affect the Division of Labor within the Household? Evidence from Two Waves of the Pandemic in Italy","authors":"D. Boca, Noemi Oggero, P. Profeta, Mariachristina Rossi","doi":"10.2139/ssrn.3863828","DOIUrl":"https://doi.org/10.2139/ssrn.3863828","url":null,"abstract":"The COVID-19 pandemic has had a dramatic impact on families' lives, with parents all over the world struggling to meet the increased demands of housework, childcare and home-schooling. Much of the additional burden has been shouldered by women, particularly in countries with a traditionally uneven division of household labor. Yet the dramatic increase in remote work from home since the pandemic also has the potential to increase paternal involvement in family life and thus to redress persistent domestic gender role inequalities. This effect depends on the working arrangements of each partner, whether working remotely, working at their usual workplace or ceasing work altogether. We examine the role of working arrangements during the pandemic on the traditional division of household labor in Italy using survey data from interviews with a representative sample of working women conducted during the two waves of COVID-19 (April and November 2020). Our data show that the gender gap in household care related activities was widest during the first wave of the pandemic, and although it was less pronounced during the second wave, it was still higher than pre-COVID-19. The time spent by women on housework, childcare, and assisting their children with distance learning did not depend on their partners' working arrangements. Conversely, men spent fewer hours helping with the housework and distance learning when their partners were at home. It is interesting, however, that although men who worked remotely or not at all did devote more time to domestic chores and child care, the increased time they spent at home did not seem to lead to a reallocation of couples' roles in housework and child care. Finally, we find that working arrangements are linked to women's feelings of uncertainty, with heterogeneous effects by level of education.","PeriodicalId":217784,"journal":{"name":"CESifo: Economics of Digitization (Topic)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132945599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Cloud Computing and Firm Growth 云计算与企业成长

CESifo: Economics of Digitization (Topic) Pub Date : 1900-01-01 DOI: 10.2139/ssrn.3618829

Timothy DeStefano, R. Kneller, Jon Timmis

引用次数: 23