{"title":"在财政年度结束时支付过高的赔率。来自乌克兰的证据","authors":"Margaryta Klymak , Stuart Baumann","doi":"10.1016/j.jeconom.2024.105903","DOIUrl":null,"url":null,"abstract":"<div><div>Governments are the largest buyers in most countries. They tend to operate annually expiring budgets and spend disproportionately large amounts at year-end. This paper is the first to investigate whether supplier firms increase prices at year-end to benefit from this behaviour. We develop a novel method using neural networks to estimate firms margins from the bidding behaviour of other firms in procurement auctions. We use a dataset of Ukrainian government procurement between 2017 and 2021 to document significantly higher prices and supplier profit margins at year-end. We demonstrate how results change depending on the type of good, the length of the buyer–supplier relationship, and the impact of Covid-19. Finally, we provide policy suggestions on how funds could be saved.</div></div>","PeriodicalId":15629,"journal":{"name":"Journal of Econometrics","volume":"249 ","pages":"Article 105903"},"PeriodicalIF":9.9000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Paying over the odds at the end of the fiscal year. Evidence from Ukraine\",\"authors\":\"Margaryta Klymak , Stuart Baumann\",\"doi\":\"10.1016/j.jeconom.2024.105903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Governments are the largest buyers in most countries. They tend to operate annually expiring budgets and spend disproportionately large amounts at year-end. This paper is the first to investigate whether supplier firms increase prices at year-end to benefit from this behaviour. We develop a novel method using neural networks to estimate firms margins from the bidding behaviour of other firms in procurement auctions. We use a dataset of Ukrainian government procurement between 2017 and 2021 to document significantly higher prices and supplier profit margins at year-end. We demonstrate how results change depending on the type of good, the length of the buyer–supplier relationship, and the impact of Covid-19. Finally, we provide policy suggestions on how funds could be saved.</div></div>\",\"PeriodicalId\":15629,\"journal\":{\"name\":\"Journal of Econometrics\",\"volume\":\"249 \",\"pages\":\"Article 105903\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Econometrics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304407624002549\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Econometrics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304407624002549","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Paying over the odds at the end of the fiscal year. Evidence from Ukraine
Governments are the largest buyers in most countries. They tend to operate annually expiring budgets and spend disproportionately large amounts at year-end. This paper is the first to investigate whether supplier firms increase prices at year-end to benefit from this behaviour. We develop a novel method using neural networks to estimate firms margins from the bidding behaviour of other firms in procurement auctions. We use a dataset of Ukrainian government procurement between 2017 and 2021 to document significantly higher prices and supplier profit margins at year-end. We demonstrate how results change depending on the type of good, the length of the buyer–supplier relationship, and the impact of Covid-19. Finally, we provide policy suggestions on how funds could be saved.
期刊介绍:
The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, and machine learning methods, are decidedly within the range of the Journal''s interests. The Annals of Econometrics is a supplement to the Journal of Econometrics.