Big Data: New Tricks for Econometrics
Computers are now involved in many economic transactions and can capture data associated with these transactions, which can then be manipulated and analyzed. Conventional statistical and econometric techniques such as regression often work well, but there are issues unique to big datasets that may r...
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| Vydáno v: | The Journal of economic perspectives Ročník 28; číslo 2; s. 3 - 27 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Nashville
American Economic Association
01.04.2014
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| Témata: | |
| ISSN: | 0895-3309, 1944-7965 |
| On-line přístup: | Získat plný text |
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| Abstract | Computers are now involved in many economic transactions and can capture data associated with these transactions, which can then be manipulated and analyzed. Conventional statistical and econometric techniques such as regression often work well, but there are issues unique to big datasets that may require different tools. First, the sheer size of the data involved may require more powerful data manipulation tools. Second, we may have more potential predictors than appropriate for estimation, so we need to do some kind of variable selection. Third, large datasets may allow for more flexible relationships than simple linear models. Machine learning techniques such as decision trees, support vector machines, neural nets, deep learning, and so on may allow for more effective ways to model complex relationships. In this essay, I will describe a few of these tools for manipulating and analyzing big data. I believe that these methods have a lot to offer and should be more widely known and used by economists. |
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| AbstractList | Computers are now involved in many economic transactions and can capture data associated with these transactions, which can then be manipulated and analyzed. Conventional statistical and econometric techniques such as regression often work well, but there are issues unique to big datasets that may require different tools. First, the sheer size of the data involved may require more powerful data manipulation tools. Second, we may have more potential predictors than appropriate for estimation, so we need to do some kind of variable selection. Third, large datasets may allow for more flexible relationships than simple linear models. Machine learning techniques such as decision trees, support vector machines, neural nets, deep learning, and so on may allow for more effective ways to model complex relationships. In this essay, I will describe a few of these tools for manipulating and analyzing big data. I believe that these methods have a lot to offer and should be more widely known and used by economists. [PUBLICATION ABSTRACT] Computers are now involved in many economic transactions and can capture data associated with these transactions, which can then be manipulated and analyzed. Conventional statistical and econometric techniques such as regression often work well, but there are issues unique to big datasets that may require different tools. First, the sheer size of the data involved may require more powerful data manipulation tools. Second, we may have more potential predictors than appropriate for estimation, so we need to do some kind of variable selection. Third, large datasets may allow for more flexible relationships than simple linear models. Machine learning techniques such as decision trees, support vector machines, neural nets, deep learning, and so on may allow for more effective ways to model complex relationships. In this essay, I will describe a few of these tools for manipulating and analyzing big data. I believe that these methods have a lot to offer and should be more widely known and used by economists. |
| Author | Varian, Hal R. |
| Author_xml | – sequence: 1 givenname: Hal R. surname: Varian fullname: Varian, Hal R. |
| BackLink | http://www.econis.eu/PPNSET?PPN=818658053$$DView this record in ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften |
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| PublicationTitle | The Journal of economic perspectives |
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| References | p_16 p_27 p_17 p_18 p_1 Perlich Claudia (p_42) 2003; 4 Martín Xavier (p_44) 1997; 87 p_12 p_34 (p_36) 2011; 51 p_13 p_26 p_37 p_7 Steel Mark F. J. (p_47) 2011; 200 Munnell Alicia H (p_38) 1996; 86 p_41 p_31 p_43 |
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| Snippet | Computers are now involved in many economic transactions and can capture data associated with these transactions, which can then be manipulated and analyzed.... |
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| SubjectTerms | Academic publications Big Data Computer science Computers Data analysis Data processing Datasets Daten Decision making Decision trees Deep learning Econometrics Economic forecasting models Economic models Economic statistics Economic theory Economists Feature selection Graduate students Linear analysis Linear models Linear regression Machine learning Machinery Manipulation Modeling Mortgage loans Queries Relational data bases Scientists Search engines SQL Statistical analysis Structured Query Language-SQL Studies Support vector machines Symposia: Big Data Transactions Trees Ökonometrie |
| Title | Big Data: New Tricks for Econometrics |
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