{"title":"约旦废物产生量预测:替代计量经济学方法","authors":"Omar Jraid Mustafa Alhanaqtah","doi":"10.5539/ijef.v16n2p35","DOIUrl":null,"url":null,"abstract":"The main purpose of the article is to predict the household waste generation in Jordan in the short-run using alternative methods and explain factors highly likely impacting its generation. The results of comparative analysis made by three methods – regression technique, time series modelling and the annual growth rate method – are provided. The results of time series approach take a compromised position between the other ones. It is concluded that time series modelling with the help of ARIMA(0,1,0) with drift is more reliable for the short-run forecasting of the waste generation in Jordan while the regression is more suitable for explaining the effect of input variables on an outcome.","PeriodicalId":508422,"journal":{"name":"International Journal of Economics and Finance","volume":"186 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forecasting of the Waste Generation in Jordan: Alternative Econometric Approaches\",\"authors\":\"Omar Jraid Mustafa Alhanaqtah\",\"doi\":\"10.5539/ijef.v16n2p35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main purpose of the article is to predict the household waste generation in Jordan in the short-run using alternative methods and explain factors highly likely impacting its generation. The results of comparative analysis made by three methods – regression technique, time series modelling and the annual growth rate method – are provided. The results of time series approach take a compromised position between the other ones. It is concluded that time series modelling with the help of ARIMA(0,1,0) with drift is more reliable for the short-run forecasting of the waste generation in Jordan while the regression is more suitable for explaining the effect of input variables on an outcome.\",\"PeriodicalId\":508422,\"journal\":{\"name\":\"International Journal of Economics and Finance\",\"volume\":\"186 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Economics and Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5539/ijef.v16n2p35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Economics and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5539/ijef.v16n2p35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting of the Waste Generation in Jordan: Alternative Econometric Approaches
The main purpose of the article is to predict the household waste generation in Jordan in the short-run using alternative methods and explain factors highly likely impacting its generation. The results of comparative analysis made by three methods – regression technique, time series modelling and the annual growth rate method – are provided. The results of time series approach take a compromised position between the other ones. It is concluded that time series modelling with the help of ARIMA(0,1,0) with drift is more reliable for the short-run forecasting of the waste generation in Jordan while the regression is more suitable for explaining the effect of input variables on an outcome.