A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data
In: Big Data for 21st Century Economic Statistics
Download full text from publisher
Other versions of this item:
- Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Working Papers 25899, National Bureau of Economic Research, Inc.
References listed on IDEAS
- Tucker McElroy, 2017. "Multivariate Seasonal Adjustment, Economic Identities, and Seasonal Taxonomy," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 611-625, October.
- Harvey, Andrew & Koopman, Siem Jan & Riani, Marco, 1997. "The Modeling and Seasonal Adjustment of Weekly Observations," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 354-368, July.
- Rachel Griffith & Martin O'Connell & Kate Smith, 2016.
"Shopping Around: How Households Adjusted Food Spending Over the Great Recession,"
Economica, London School of Economics and Political Science, vol. 83(330), pages 247-280, April.
- Griffith, Rachel & O'Connell, Martin & Smith, Kate, 2014. "Shopping around? How households adjusted food spending over the Great Recession," CEPR Discussion Papers 10096, C.E.P.R. Discussion Papers.
- Rachel Griffith & Martin O'Connell & Kate Smith, 2015. "Shopping around: how households adjusted food spending over the Great Recession," IFS Working Papers W15/29, Institute for Fiscal Studies.
- Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 369-380, October.
- Pierce, David A & Grupe, Michael R & Cleveland, William P, 1984. "Seasonal Adjustment of the Weekly Monetary Aggregates: A Model-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 260-270, July.
- Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 393-395, October.
- Arthur Lewbel, 2003. "A rational rank four demand system," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 127-135.
- Atif Mian & Amir Sufi, 2010. "Household Leverage and the Recession of 2007–09," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 58(1), pages 74-117, August.
- Fok, Dennis & Hans Franses, Philip & Paap, Richard, 2007.
"Seasonality and non-linear price effects in scanner-data-based market-response models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 231-251, May.
- Fok, D. & Franses, Ph.H.B.F., 2005. "Seasonality on non-linear price effects in scanner-data based market-response models," Econometric Institute Research Papers EI 2005-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
- Bai, Jushan & Ng, Serena, 2019. "Rank regularized estimation of approximate factor models," Journal of Econometrics, Elsevier, vol. 212(1), pages 78-96.
- Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-730, May.
- John Muellbauer, 1975. "Aggregation, Income Distribution and Consumer Demand," Review of Economic Studies, Oxford University Press, vol. 42(4), pages 525-543.
- Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
More about this item
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberch:14269. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/nberrus.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.