var model pre estimation lag selection (STATA Corporation)
STATA Corporation is a verified supplier 
99
Structured Review
STATA Corporation
var model pre estimation lag selection
Var Model Pre Estimation Lag Selection, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 36606 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/var+model+pre+estimation+lag+selection/STATA+1%2E0/pm31563841-129-26-33
Average 99 stars, based on 36606 article reviews
Var Model Pre Estimation Lag Selection, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 36606 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/var+model+pre+estimation+lag+selection/STATA+1%2E0/pm31563841-129-26-33
Average 99 stars, based on 36606 article reviews
var model pre estimation lag selection - by Bioz Stars,
2026-09
99/100 stars
Images
Related Articles
Selection:Article Title: Great Recession, environmental awareness, and Philadelphia’s waste generation Article Snippet: .. We need to specify the appropriate lag time for the cointegration analysis and Vector Autoregressive (VAR) model. To choose the best lag time for variables we use the Article Title: Impact of population change and unemployment rate on Philadelphia's waste disposal. Article Snippet: Contents lists available at ScienceDirect Waste Management journal homepage: www.elsevier .com/ locate/wasman Impact of population change and unemployment rate on Philadelphia’s waste disposal https://doi.org/10.1016/j.wasman.2019.09.024 0956-053X/ 2019 Elsevier Ltd. All rights reserved.. 1 Address: 1947 N. 12th Street, Philadelphia, PA, 19122, United States.. E-mail address: nikoo.khajevand@temple.edu (N. Khajevand) Nikoo Khajevand a,1, Rouzbeh Tehrani b a Philadelphia Water Department, Temple University, United States b Temple University, United States a r t i c l e i n f o a b s t r a c t Article history: Received 21 February 2019 Revised 28 August 2019 Accepted 17 September 2019 Available online 26 September 2019 Keywords: Philadelphia Total solid waste disposal Unemployment rate Time-series analysis Multiple linear regression Population change Predicting waste disposal of a given municipality could be complicated and expensive for government agencies. |