The Co-holding Puzzle: New Evidence from Transaction-Level Data

2020 ◽  
Author(s):  
John Gathergood ◽  
Arna Olafsson
Keyword(s):  
Level Data ◽  
Transaction Level ◽  
New Evidence

What's Happening to Profits at Cazenovia Creations?

2013 ◽  
Vol 8 (1) ◽  
pp. 24-29 ◽  
Author(s):  
Margaret Garnsey ◽  
Andrea Hotaling
Keyword(s):  
Financial Analysis ◽  
Financial Statements ◽  
Internal Controls ◽  
Net Income ◽  
Database Query ◽  
Microsoft Access ◽  
Level Data ◽  
Query Tool ◽  
Transaction Level

ABSTRACT In this case, students assume the role of an accounting professional asked by a client to investigate why net income is not as strong as expected. The students must first analyze a set of financial statements to identify areas of possible concern. After determining the areas to investigate, the students use a database query tool to see if they can determine causes by examining transaction level data. Finally, the students are asked to professionally communicate their findings and recommendations to their client. The case provides students with experience in using query-based approaches to answering business questions. It is appropriate for students with basic query and financial analysis skills and knowledge of internal controls. A Microsoft Access database with transaction details for the final seven months of the current year as well as financial statements for the current and prior year are provided.

New Evidence on Eastern Europe's Pollution Progress

2003 ◽  
Vol 3 (1) ◽  
Author(s):  
Matthew E Kahn
Keyword(s):  
Sulfur Dioxide ◽  
Carbon Dioxide Emissions ◽  
National Level ◽  
Data Sets ◽  
Local Public Good ◽  
Data Set ◽  
The Czech Republic ◽  
Level Data ◽  
Good Improvement ◽  
New Evidence

Abstract Under communism, Eastern Europe's cities were significantly more polluted than their Western European counterparts. An unintended consequence of communism's decline is to improve urban environmental quality. This paper uses several new data sets to measure these gains. National level data are used to document the extent of convergence across nations in sulfur dioxide and carbon dioxide emissions. Based on a panel data set from the Czech Republic, Hungary and Poland, ambient sulfur dioxide levels have fallen both because of composition and technique effects. The incidence of this local public good improvement is analyzed.

scholarly journals Determining Returns to Storage: Does Data Aggregation Matter?

2007 ◽  
Vol 39 (3) ◽  
pp. 571-579 ◽  
Author(s):  
Joni M. Klumpp ◽  
B. Wade Brorsen ◽  
Kim B. Anderson
Keyword(s):  
Data Aggregation ◽  
Aggregate Data ◽  
Grain Elevators ◽  
Level Data ◽  
The Mean ◽  
Transaction Level

Aggregate data are commonly used to determine returns to storage. However, recent studies have shown that aggregating data may lead to underestimated returns. This article compares aggregate and elevator data from Oklahoma to determine if aggregate data underestimate returns. We find no difference between the mean returns estimated with aggregate data and the mean returns estimated with transaction level data from grain elevators in Oklahoma.

scholarly journals Controlling Corruption in Development Aid: New Evidence from Contract-Level Data

2020 ◽  
Vol 55 (4) ◽  
pp. 481-515
Author(s):  
Elizabeth Dávid-Barrett ◽  
Mihály Fazekas ◽  
Olli Hellmann ◽  
Lili Márk ◽  
Ciara McCorley
Keyword(s):  
Regression Analysis ◽  
Foreign Aid ◽  
Development Aid ◽  
Risk Indicator ◽  
Political Climate ◽  
Percentage Points ◽  
Level Data ◽  
National Governments ◽  
Procurement Contracts ◽  
New Evidence

Abstract Following scandals about corruption in foreign aid, and in a political climate that increasingly questions the legitimacy of development assistance, donors are under pressure to better control how their funds are spent. However, there is little evidence on precisely how to control corruption in development aid. This article assesses under which conditions donor regulations are successful in controlling corruption in aid spent by national governments through procurement tenders. The article analyses data on donor-funded procurement contracts in 100+ countries in 1998–2008 and uses ‘single bid submitted in a competitive tender’ as a corruption risk indicator. Applying a contract-level propensity score matching and regression analysis, it finds that an intervention which increases donor oversight and widens access to tenders is effective in reducing corruption risks: lowering single bidding on competitive markets by 3.6–4.3 percentage points. This effect is greater in countries with low-state capacity.

Adoption of immuno-oncology in NSCLC, a real-world study in EU5.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20631-e20631
Author(s):  
Alejandra Martinez De Pinillos ◽  
Isabel Ricote Lobera ◽  
Cristina Martinez ◽  
Caroline Anger ◽  
Filippo Guglielmetti ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Real World ◽  
Performance Status ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Patient Profile ◽  
Period 2 ◽  
Level Data ◽  
The Impact ◽  
New Evidence

e20631 Background: To date, there are no robust studies in real world practice describing the use of IO (immuno-oncology) treatments in advanced/metastatic (adv/m) NSCLC. The available evidence in Europe is limited to observational studies of small size. This study aims to understand the impact of IO in adv/mNSCLC and study the profile of patients currently receiving these treatments. Methods: 20,157 cases of 1st and 2nd line adv/mNSCLC patients between October 2016 and September 2018 in EU5 (France, Germany, Spain, Italy, UK) were identified within Oncology Dynamics, an IQVIA oncology syndicated cross sectional survey collecting anonymized patient-level data. Patient profile was described, and two groups were created to assess differences in the use of IO treatments (nivolumab, pembrolizumab, atezolizumab, ipilimumab, durvalumab) across 2 time periods: #1 October 2016 - September 2017 (n = 9,310); #2 October 2017 - September 2018 (n = 10,847). Results: IO treatments increased 15% in 1st line adv/mNSCLC (13% in non-squamous and 23% in squamous histology) and 11% in 2nd line across periods; reaching treatment shares of 20.3% and 67.9% in 1st line and 2nd line in Period 2. Within IO-treated patients, 9.5% in 1st line and 13.6% in 2nd line had ECOG ≥2, and 27% were > 71 years old. The use of IO in 1st line patients without mutations (EGFR/ALK/ROS1/BRAF) increased by 24%, while standard chemotherapy decreased by 21%. Conclusions: IO treatments had a rapid adoption in Europe last year, influenced by its approval in 1st line adv/mNSCLC and by clinical guidelines recommendations. Ongoing clinical trials may suggest a growing trend in the future that could potentially impact in healthcare systems. In addition, real world patients treated with IO are older and have a worse performance status than those widely included in clinical trials. An evaluation of these results sheds light into IO treatments in NSCLC and may contribute to the design of real-world studies to generate new evidence and optimize the use of these class of drugs in clinical practice.[Table: see text]

The Profitability of Revenue-Based Quotas Under Price Negotiation

2021 ◽  
Author(s):  
Pranav Jindal ◽  
Peter Newberry
Keyword(s):  
Reduced Form ◽  
Demand Model ◽  
Total Compensation ◽  
Price Negotiation ◽  
Level Data ◽  
Bargaining Position ◽  
Transaction Level ◽  
The Impact

We study how the presence of a monthly revenue-based quota impacts a retailer’s profits when prices are negotiated by a salesperson. Using transaction level data for refrigerators, we first provide reduced-form evidence that prices are impacted by the quota: the negotiated discounts are approximately 3.8% higher if the salesperson is 10% closer to reaching the quota in the final week of the month. Guided by this result, we specify and estimate a demand model that identifies the impact of the quota through two forces: the effort salespeople expend in order to sell the product and their bargaining position. Results indicate that, as salespeople get closer to reaching their quota, their effort increases regardless of the week, and their bargaining position weakens (i.e., they offer lower prices), but only in the final week of the month. We use these results to analyze the impact of the quota and find that, holding salespeoples’ total compensation fixed, eliminating quotas results in 8% lower profit for the retailer. This decrease stems primarily from the reduction in effort that outweighs any benefit from strengthening the salespeoples’ bargaining position. The change in profit is economically meaningful because eliminating both price negotiation (i.e., moving to fixed pricing) and the quota results in an up to 36% reduction in profit. This paper was accepted by Matthew Shum, marketing.

JD.com: Transaction-Level Data for the 2020 MSOM Data Driven Research Challenge

2020 ◽  
Author(s):  
Max Shen ◽  
Christopher S. Tang ◽  
Di Wu ◽  
Rong Yuan ◽  
Wei Zhou
Keyword(s):  
Econometric Models ◽  
Data Driven ◽  
Level Data ◽  
Research Questions ◽  
Transaction Level ◽  
Research Challenge ◽  
Transactional Data

To support the 2020 MSOM Data Driven Research Challenge, JD.com, China’s largest retailer, offers transaction-level data to MSOM members for conducting data-driven research. This article describes the transactional data associated with over 2.5 million customers (457,298 made purchases) and 31,868 stock keeping units (SKUs) over the month of March in 2018. We also present potential research questions suggested by JD.com. Researchers are welcome to develop econometric models or data-driven models using this database to address some of the suggested questions or examine their own research questions.

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