{"id":2469,"date":"2023-07-22T03:17:44","date_gmt":"2023-07-22T03:17:44","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%86%ab%e1%84%8c%e1%85%a5-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%80\/"},"modified":"2023-07-22T03:17:44","modified_gmt":"2023-07-22T03:17:44","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%86%ab%e1%84%8c%e1%85%a5-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%80","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%86%ab%e1%84%8c%e1%85%a5-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%80\/","title":{"rendered":"Python\uc5d0\uc11c granger \uc778\uacfc\uc131 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

Granger \uc778\uacfc\uc131 \ud14c\uc2a4\ud2b8\ub294<\/strong> \ud55c \uc2dc\uacc4\uc5f4\uc774 \ub2e4\ub978 \uc2dc\uacc4\uc5f4\uc744 \uc608\uce21\ud558\ub294 \ub370 \uc720\uc6a9\ud55c\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud14c\uc2a4\ud2b8\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uadc0\ubb34\uac00\uc124\uacfc \ub300\ub9bd\uac00\uc124\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uadc0\ubb34 \uac00\uc124(H 0<\/sub> ):<\/strong> \uc2dc\uacc4\uc5f4 x\ub294<\/em> \uc2dc\uacc4\uc5f4 y\ub97c<\/em> Granger\ub85c \uc720\ub3c4\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ub300\ub9bd \uac00\uc124( HA<\/sub> ):<\/strong> \uc2dc\uacc4\uc5f4 x<\/em> Granger\uc758 \uc2dc\uacc4\uc5f4\uc774 y\ub97c<\/em> \uc720\ubc1c\ud569\ub2c8\ub2e4.<\/span><\/p>\n

“Granger \uc6d0\uc778”\uc774\ub77c\ub294 \uc6a9\uc5b4\ub294 \ud2b9\uc815 \uc2dc\ucc28\uac00 \uc788\ub294 \uc2dc\uacc4\uc5f4 x<\/em> \uac12\uc744 \uc544\ub294 \uac83\uc774 \uc774\ud6c4 \uae30\uac04\uc758 \uc2dc\uacc4\uc5f4 y<\/em> \uac12\uc744 \uc608\uce21\ud558\ub294 \ub370 \uc720\uc6a9\ud558\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \uac80\uc815\uc740 \ud574\ub2f9 p-\uac12\uc744<\/a> \uc0ac\uc6a9\ud558\uc5ec F-\uac80\uc815 \ud1b5\uacc4\ub7c9\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. p-\uac12\uc774<\/span> \ud2b9\uc815 \uc720\uc758 \uc218\uc900(\uc989, \u03b1 = 0.05)\ubcf4\ub2e4 \ub0ae\uc73c\uba74 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 \uc2dc\uacc4\uc5f4 x<\/em> Granger\uac00 \uc2dc\uacc4\uc5f4 y\ub97c \uc720\ubc1c\ud55c\ub2e4\uace0 \uc8fc\uc7a5\ud560 \uc218 \uc788\ub294 \ucda9\ubd84\ud55c \uc99d\uac70\uac00 \uc788\ub2e4\uace0 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

statsmodels \ud328\ud0a4\uc9c0\uc758 grangercausalitytests()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c Granger-Causality \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 from<\/span> statsmodels. tsa<\/span> . stattools<\/span> import<\/span> grangercausalitytests\n\n#perform Granger-Causality test<\/span>\ngrangercausalitytests(df[[' column1<\/span> ', ' column2<\/span> ']], maxlag=[ 3<\/span> ])\n<\/strong><\/pre>\n
 maxlag\ub294<\/strong> \uccab \ubc88\uc9f8 \uc2dc\uacc4\uc5f4\uc5d0 \uc0ac\uc6a9\ud560 \uc9c0\uc5f0 \uc218\ub97c \uc9c0\uc815\ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 1\ub2e8\uacc4: \ub370\uc774\ud130 \ub85c\ub4dc<\/strong><\/span><\/h3>\n
 \uc774 \uc608\uc5d0\uc11c\ub294 1930\ub144\ubd80\ud130 1983\ub144\uae4c\uc9c0 \ubbf8\uad6d\uc5d0\uc11c \uc0dd\uc0b0\ub41c \uacc4\ub780 \uc218\uc640 \ub2ed \uc218\uc5d0 \ub300\ud55c \uac12\uc774 \ud3ec\ud568\ub41c \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define URL where dataset is located\n<\/span>url = \"https:\/\/raw.githubusercontent.com\/Statorials\/Miscellaneous\/main\/chicken_egg.txt\"\n\n#read in dataset as pandas DataFrame\n<\/span>df = pd. read_csv<\/span> (url, sep=\" \")\n\n#view first five rows of DataFrame\n<\/span>df. head<\/span> ()\n\n\tyear chicken egg\n0 1930 468491 3581\n1 1931 449743 3532\n2 1932 436815 3327\n3 1933 444523 3255\n4 1934 433937 3156\n<\/strong><\/pre>\n
 2\ub2e8\uacc4: Granger \uc778\uacfc\uc131 \uac80\uc815 \uc218\ud589<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c\uc73c\ub85c, grangercausalitytests<\/strong> ()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Granger \uc778\uacfc\uc131 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\uc5ec \ub9cc\ub4e4\uc5b4\uc9c4 \uacc4\ub780 \uc218\uac00 \ubbf8\ub798\uc758 \uc554\ud0c9 \uc218\ub97c \uc608\uce21\ud558\ub294\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4. \uc138 \uac00\uc9c0 \uc624\ud504\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud14c\uc2a4\ud2b8\ub97c \uc2e4\ud589\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> statsmodels. tsa<\/span> . stattools<\/span> import<\/span> grangercausalitytests<\/span>\n\n#perform Granger-Causality test<\/span>\ngrangercausalitytests(df[[' chicken<\/span> ', ' egg<\/span> ']], maxlag=[ 3<\/span> ])\n\nGranger Causality\nnumber of lags (no zero) 3\nssr based F test: F=5.4050, p=0.0030, df_denom=44, df_num=3\nssr based chi2 test: chi2=18.7946, p=0.0003, df=3\nlikelihood ratio test: chi2=16.0003, p=0.0011, df=3\nparameter F test: F=5.4050, p=0.0030, df_denom=44, df_num=3<\/strong><\/pre>\n
 F-\uac80\uc815 \ud1b5\uacc4\ub7c9\uc740 5.405<\/strong> \uc774\uace0 \ud574\ub2f9 p-\uac12\uc740 0.0030<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n
 p-\uac12\uc774 0.05\ubcf4\ub2e4 \uc791\uae30 \ub54c\ubb38\uc5d0 \uac80\uc815\uc758 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 \uacc4\ub780 \uc218\ub97c \uc544\ub294 \uac83\uc774 \ud5a5\ud6c4 \uc554\ud0c9 \uc218\ub97c \uc608\uce21\ud558\ub294 \ub370 \uc720\uc6a9\ud558\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 3\ub2e8\uacc4: \uc5ed\ubc29\ud5a5\uc73c\ub85c Granger \uc778\uacfc\uc131 \uac80\uc815 \uc218\ud589<\/strong><\/span><\/h3>\n
 \uac80\uc815\uc758 \uadc0\ubb34\uac00\uc124\uc744 \uae30\uac01\ud588\uc9c0\ub9cc \uc2e4\uc81c\ub85c \uc5ed\uc778\uacfc\uad00\uacc4\uac00 \ubc1c\uc0dd\ud560 \uac00\ub2a5\uc131\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uc989, \uc554\ud0c9\uc758 \uc218\uac00 \uacc4\ub780\uc758 \uc218\uc5d0 \ubcc0\ud654\ub97c \uac00\uc838\uc62c \uac00\ub2a5\uc131\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub7ec\ud55c \uac00\ub2a5\uc131\uc744 \ubc30\uc81c\ud558\ub824\uba74 \ub2ed\uc744 \uc608\uce21 \ubcc0\uc218\ub85c, \uacc4\ub780\uc744 \ubc18\uc751 \ubcc0\uc218<\/a> \ub85c \uc0ac\uc6a9\ud558\uc5ec Granger-Causality \ud14c\uc2a4\ud2b8\ub97c \uc5ed\uc73c\ub85c \uc218\ud589\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> statsmodels. tsa<\/span> . stattools<\/span> import<\/span> grangercausalitytests<\/span>\n\n#perform Granger-Causality test<\/span>\ngrangercausalitytests(df[[' egg<\/span> ', ' chicken<\/span> ']], maxlag=[ 3<\/span> ])\n\nGranger Causality\nnumber of lags (no zero) 3\nssr based F test: F=0.5916, p=0.6238, df_denom=44, df_num=3\nssr based chi2 test: chi2=2.0572, p=0.5606, df=3\nlikelihood ratio test: chi2=2.0168, p=0.5689, df=3\nparameter F test: F=0.5916, p=0.6238, df_denom=44, df_num=3\n<\/strong><\/pre>\n
 F-\uac80\uc815 \ud1b5\uacc4\ub7c9\uc740 0.5916<\/strong> \uc774\uace0 \ud574\ub2f9 p-\uac12\uc740 0.6238<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n
 p-\uac12\uc774 0.05 \uc774\uc0c1\uc774\ubbc0\ub85c \uadc0\ubb34\uac00\uc124\uc744 \uae30\uac01\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4. \uc989, \uc554\ud0c9\uc758 \uc218\ub294 \ubbf8\ub798\uc758 \uc54c \uc218\ub97c \uc608\uce21\ud558\uc9c0 \ubabb\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub530\ub77c\uc11c \uc6b0\ub9ac\ub294 \uc54c\uc758 \uc218\ub97c \uc544\ub294 \uac83\uc774 \ud5a5\ud6c4 \uc554\ud0c9\uc758 \uc218\ub97c \uc608\uce21\ud558\ub294 \ub370 \uc720\uc6a9\ud558\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc2dc\uacc4\uc5f4\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Seaborn\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub3c4\ud45c\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Matplotlib\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub3c4\ud45c\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Granger \uc778\uacfc\uc131 \ud14c\uc2a4\ud2b8\ub294 \ud55c \uc2dc\uacc4\uc5f4\uc774 \ub2e4\ub978 \uc2dc\uacc4\uc5f4\uc744 \uc608\uce21\ud558\ub294 \ub370 \uc720\uc6a9\ud55c\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \ud14c\uc2a4\ud2b8\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uadc0\ubb34\uac00\uc124\uacfc \ub300\ub9bd\uac00\uc124\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uadc0\ubb34 \uac00\uc124(H 0 ): \uc2dc\uacc4\uc5f4 x\ub294 \uc2dc\uacc4\uc5f4 y\ub97c Granger\ub85c \uc720\ub3c4\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. \ub300\ub9bd \uac00\uc124( HA ): \uc2dc\uacc4\uc5f4 x Granger\uc758 \uc2dc\uacc4\uc5f4\uc774 y\ub97c \uc720\ubc1c\ud569\ub2c8\ub2e4. “Granger \uc6d0\uc778”\uc774\ub77c\ub294 \uc6a9\uc5b4\ub294 \ud2b9\uc815 \uc2dc\ucc28\uac00 \uc788\ub294 \uc2dc\uacc4\uc5f4 x \uac12\uc744 \uc544\ub294 \uac83\uc774 \uc774\ud6c4 \uae30\uac04\uc758 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-2469","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c Granger \uc778\uacfc\uc131 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - 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 \uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> Pandas\ub85c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95<\/a><\/p>\n