scholarly journals Implementing the panel event study

2021 ◽  
Vol 21 (4) ◽  
pp. 853-884
Author(s):  
Damian Clarke ◽  
Kathya Tapia-Schythe
Keyword(s):  
Event Study ◽  
Study Design ◽  
Fixed Effects ◽  
Difference In Differences ◽  
Fixed Effects Models ◽  
Simple Estimation ◽  
The Impact ◽  
Relevant Community

Many studies estimate the impact of exposure to some quasiexperimental policy or event using a panel event study design. These models, as a generalized extension of “difference-in-differences” designs or two-way fixed-effects models, allow for dynamic leads and lags to the event of interest to be estimated, while also controlling for fixed factors (often) by area and time. In this article, we discuss the setup of the panel event study design in a range of situations and lay out several practical considerations for its estimation. We describe a command, eventdd, that allows for simple estimation, inference, and visualization of event study models in a range of circumstances. We then provide several examples to illustrate eventdd’s use and flexibility, as well as its interaction with various native Stata commands, and other relevant community-contributed commands such as reghdfe and boottest.

scholarly journals Bismarck’s Health Insurance and the Mortality Decline

2019 ◽  
Vol 18 (5) ◽  
pp. 2561-2607 ◽  
Author(s):  
Stefan Bauernschuster ◽  
Anastasia Driva ◽  
Erik Hornung
Keyword(s):  
Health Insurance ◽  
Fixed Effects ◽  
Natural Experiment ◽  
Social Health Insurance ◽  
Insurance Fund ◽  
Difference In Differences ◽  
German Empire ◽  
Compulsory Health Insurance ◽  
The Impact ◽  
Significant Mortality

Abstract We study the impact of social health insurance on mortality. Using the introduction of compulsory health insurance in the German Empire in 1884 as a natural experiment, we estimate difference-in-differences and regional fixed effects models exploiting variation in eligibility for insurance across occupations. Our findings suggest that Bismarck’s health insurance generated a significant mortality reduction. Despite the absence of antibiotics and most vaccines, we find the results to be largely driven by a decline of deaths from infectious diseases. Further evidence suggests that statutory access to well-trained doctors was an elementary channel. This finding may be explained by insurance fund physicians transmitting new knowledge on infectious disease prevention.

Hemorrhagic and thrombotic events in oncology patients treated with antiangiogenic therapy: Impact of study design on the results assessed by meta-analysis.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e14058-e14058
Author(s):  
Jane-Chloe Trone ◽  
Céline Chapelle ◽  
Edouard Ollier ◽  
Laurent Bertoletti ◽  
Michel Cucherat ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Cancer Patients ◽  
Study Design ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Antiangiogenic Therapy ◽  
Solid Cancer ◽  
Increasing Risk ◽  
Meta Analyses ◽  
The Impact

e14058 Background: Antiangiogenic (AA) therapies emerge as a new cornerstone for cancer treatment, but carry their own particular risk profile. Several previous meta-analyses have showed increasing risk of bleeding and paradoxically thrombosis in cancer patients receiving antiangiogenic. The aim of the meta-analysis is to investigate the impact of studies design (open or double blind (DB)), on the incidence and the occurrence of bleeding, venous thrombotic events (VTE) and arterial thrombotic events (ATE) in cancer patients treated by AA therapies. Methods: We searched Medline, Cochrane, ClinicalTrial databases, meeting abstracts of the American Society of Clinical Oncology and the European Society of Medical Oncology for relevant clinical trials. We included prospective phase II and III clinical trials that randomly assigned patients with solid cancer to AA therapy or control. Statistical analyses were conducted to calculate the summary incidence, ORs, and 95% CIs, using random-effects or fixed-effects models based on the heterogeneity of included studies. Results: A total of 166 trials (72,024 patients) were included. For bleeding events, comparison on AA treatment versus control yielded an OR of 2.41 (95% CI 2.07 to 2.71; p < 0.001) with an exaggeration of treatment effects by 68% (95% CI, 33 to 113) in open-label studies compared with DB trials. Concerning VTE, an OR of 1.18 (95% CI 1.04 to 1.35; p = 0.0115) was noted, with a significant enhancement of 53% (95% CI, 19 to 96) of treatment side effects with open trials compared with DB trials. AA don’t increase significantly the frequency of VTE when considering only DB trials. For ATE, an OR of 1.59 (95% CI 1.30 to 1.94; p < 0.001) was observed, associated with a significant exaggeration of 65% (95% CI, 13 to 143) with open trials compared with DB trials. Conclusions: The present meta-analysis showed a significant interaction of study design for the tolerance assessment in the AA therapies in cancers. The increasing risk of hemorrhagic events, VTE and ATE appear to have been overestimated in the previous meta-analyses. In the future, meta-analyses should be restricted to DB trials for analysis of toxicity profile.

scholarly journals COVID-19 Vaccination Mandates and Vaccine Uptake

2021 ◽  
Author(s):  
Alexander Karaivanov ◽  
Dongwoo Kim ◽  
Shih En Lu ◽  
Hitoshi Shigeoka
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Event Study ◽  
European Countries ◽  
Vaccine Uptake ◽  
Difference In Differences ◽  
Series Analysis ◽  
Vaccine Mandates ◽  
Canadian Provinces ◽  
The Impact

We estimate the impact of government-mandated proof of vaccination requirements for access to public venues and non-essential businesses on COVID-19 vaccine uptake. We use event-study and difference-in-differences approaches exploiting the variation in the timing of these measures across Canadian provinces. We find that the announcement of a vaccination mandate is associated with large increase in new first-dose vaccinations in the first week (more than 50% on average) and the second week (more than 100%) immediately following the announcement. The estimated effect starts waning about six weeks past the announcement. Counterfactual simulations using our estimates suggest that these mandates have led to about 289,000 additional first-dose vaccinations in Canada as of September 30, 2021, which is 1 to 8 weeks after the policy announcements across the different provinces. Time-series analysis corroborates our results for Canada, and we further estimate that national vaccine mandates in three European countries also led to large gains in first-dose vaccinations (7+ mln in France, 4+ mln in Italy and 1+ mln in Germany, 7 to 12 weeks after the policy announcements). NOTE: The reported numbers may change with more data. Please see updated version when available.

scholarly journals The Spatial Effect of Aging Population on Innovation in Entrepreneurship--Based on Empirical Analysis of Western China

2021 ◽  
pp. 238-254
Author(s):  
Yunqing Su, Yi Li
Keyword(s):  
Spatial Model ◽  
Fixed Effects ◽  
Theoretical Perspective ◽  
Aging Population ◽  
Spatial Effect ◽  
Western China ◽  
Spatial Lag ◽  
Mediated Effects ◽  
Fixed Effects Models ◽  
The Impact

This study researches the impact of an aging population on Innovation in Entrepreneurship (IE), and applying fixed effects models (FE), mediated effects models and spatial lag regression model (SAR) to panel data of Western China (excluding Tibet) from 2004 to 2019.The results showed that an aging population and IE inverted significantly U-curve, and human capital plays a significant partial mediation between the two. A theoretical perspective based on the First Law of Geography, in the western China, aging population and IE are both positive spatial correlation, and both show the characteristics of "High-High" spatial agglomeration. Under the spatial model, aging population and IE also inverted U-curve.

The Impact of School Finance Reforms on Local Tax Revenues

2020 ◽  
Vol 110 ◽  
pp. 416-418
Author(s):  
Patrick Bayer ◽  
Peter Q. Blair ◽  
Kenneth Whaley
Keyword(s):  
Public Finance ◽  
Event Study ◽  
Study Design ◽  
School Finance ◽  
Social Scientists ◽  
Local Taxes ◽  
Tax Revenues ◽  
Potential Source ◽  
New Instrument ◽  
The Impact

For many applications in public finance, it is difficult to find a source of exogeneous variation in local taxes. In this paper we use an event study design to show that the school finance reforms are one potential source of exogenous variation in taxes. This new instrument enlarges the tool kit for applied economists and other social scientists studying public finance and education.

scholarly journals Grandparenthood, grandchild care and depression among older people in 18 countries

2019 ◽  
Vol 31 (2-2019) ◽  
pp. 216-239
Author(s):  
Valeria Bordone ◽  
Bruno Arpino
Keyword(s):  
Depressive Symptoms ◽  
Older People ◽  
Fixed Effects ◽  
Later Life ◽  
Clear Pattern ◽  
Longitudinal Structure ◽  
Fixed Effects Models ◽  
Grandchild Care ◽  
The Impact

Due to the increasing central role of grandparenthood in later life, sound knowledge about its effects on older people’s health is more and more important. This paper examines the impact of becoming a grandparent, having more grandchildren, and engaging in grandchild care on depressive symptoms. Moreover, based on the structural ambivalence theory, we expect that such effects differ across contexts as (grand)childcare is differently organised across Europe. Taking advantage of the longitudinal structure of the Survey of Health, Ageing and Retirement in Europe (SHARE), we estimate fixed-effects models. Our results show that women face a decline in depressive symptoms when becoming grandmothers, but neither an increase in the number of grandchildren nor changes in grandchild care are associated with changes in depressive symptoms. The analyses by country highlight differences across Europe, without, however, drawing a clear pattern. Our results show that depression consequences of grandparenthood also vary between countries characterised by similar roles of grandparents. This suggests the need to make available more refined questions about grandparenthood in surveys on older people.

The Impact of Inheritances on Heirs' Labor and Capital Income

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Mikael Elinder ◽  
Oscar Erixson ◽  
Henry Ohlsson
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Income Effect ◽  
Labor Income ◽  
Capital Income ◽  
Fixed Effects Models ◽  
The Impact ◽  
Anticipation Effects

Abstract The objective of this paper is to study when and how much labor and capital income of heirs respond to inheritances. We estimate fixed effects models following direct heirs, inheriting in 2004, during the years 2000--2008 using Swedish panel data. Our first main result is that the more the heir inherits, the lower her labor income becomes. This labor income effect appears in the years after the heir had inherited and is stronger for old heirs than for young heirs. We also find evidence of anticipation effects that occur before the actual transfer. Our second main result is that the more the heir inherits, the higher her capital income becomes. This effect only appears in the years after receiving the inheritance. It seems to be dissipating after a couple of years.

scholarly journals Econometric Estimation of Strategic Development Factors of Russian Border Regions

2021 ◽  
Vol 17 (2) ◽  
pp. 431-444
Author(s):  
Svetlana V. Doroshenko Ksenia A. Posysoeva Svetlana V. Doroshenko Ksenia A. Posysoeva ◽  
Svetlana V. Doroshenko Ksenia A. Posysoeva Svetlana V. Doroshenko Ksenia A. Posysoeva
Keyword(s):  
Small Business ◽  
Foreign Trade ◽  
Fixed Effects ◽  
Transport Infrastructure ◽  
Federal State ◽  
Border Regions ◽  
Fixed Effects Models ◽  
Strategic Factors ◽  
Regional Product ◽  
The Impact

Cross-border development is significantly influenced by global events, such as 1990s transformations, when different inland areas across the world became borderlands. Further, due to 2014 geopolitical changes, the Russian Federation had to establish a new institutional framework regulating the border regional development. The research aims to assess the impact of strategic factors on socio-economic development of these regions. For that purpose, we analysed 47 of 50 Russian border entities divided into two groups of old and new (established after the collapse of the USSR in 1991) border regions. We hypothesise that the factors considered as strategic in these territories manifest differently in old and new border regions. Empirical data, obtained from the Federal State Statistics Service and Unified Interdepartmental Statistical Information System, cover the period from 2000 to 2018. The simulation was conducted using the statistical package Stata 14. We analysed five groups of factors (transport infra- structure, small business, foreign trade, tourism, ecology) as well as corresponding indicators. Gross regional product per capita in comparable prices of 2018 was considered as a dependent variable. Then, we assessed three models explaining the impact of the examined factors on old and new border regions individually and in combination. For each model, pooled regression, as well as random and fixed effects models were constructed. Conducted simulations revealed that the fixed effects models best describe the analysed data. The research results confirmed the hypothesis, showing that transport infrastructure and tourism are more important for new border regions, while the factors of ecology, small business and foreign trade have a greater impact on the development of old borderlands.

scholarly journals EVALUATING THE IMPACT OF STAR-VA ON VETERANS’ PSYCHOTROPIC MEDICATION USE IN CLCS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S632-S632
Author(s):  
Kevin McConeghy ◽  
Kim Curyto ◽  
Jenefer M Jedele ◽  
Jennifer Mach ◽  
Orna Intrator ◽  
...  
Keyword(s):  
Drug Use ◽  
Psychotropic Drug ◽  
Psychotropic Medication ◽  
Fixed Effects ◽  
Primary Outcome ◽  
Post Intervention ◽  
Difference In Differences ◽  
Eligibility Criteria ◽  
Psychotropic Drug Use ◽  
The Impact

Abstract The impact of STAR-VA on psychotropic drug use among residents with behavioral symptoms of dementia was evaluated through a difference-in-differences framework. STAR-VA residents enrolled 2013-2017 were evaluated longitudinally pre-post intervention. The primary outcome was the number of as needed administrations with an indication of ‘anxiety’ or ‘agitation’. The analytical cohort included 214 training cases and 1,870 controls from untrained sites meeting eligibility criteria. STAR-VA cases were less white (48% vs. 54%), less black (11% vs. 14%), and had significantly longer median length of stay (830 vs. 261 days), respectively. STAR-VA cases had on average 3.5 as needed doses/month of psychotropic medication before the intervention and 1.7 after, controls averaged 1.8 doses/month. After adjustment for person-time-fixed effects, enrollment was associated with 55% (95% CI:30, 68) reduction or an average 0.8 as needed psychotropic doses/month. Findings demonstrate effectiveness in decreasing as-needed psychotropic drug use among CLC residents, supporting continued implementation of STAR-VA.

scholarly journals The impact of technological innovation on carbon emissions

2021 ◽  
Vol 275 ◽  
pp. 02039
Author(s):  
Jing Niu
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Technological Innovation ◽  
Carbon Emissions ◽  
Fixed Effects ◽  
Low Carbon ◽  
Fixed Effects Models ◽  
Low Carbon Technologies ◽  
The Impact ◽  
The Relationship

Environmental problems caused by carbon emissions have received widespread attention, and technological innovation has an important impact on carbon emissions. This paper uses data from 30 provinces (excluding Tibet) in China from 2009 to 2018 as a sample, and empirically analyzes the relationship between technological innovation and carbon emissions by constructing panel data and fixed effects models. The results show that technological innovation can curb carbon emissions. Therefore, China should increase research and application of low-carbon technologies to promote sustainable economic development.

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