{"id":7936,"date":"2024-06-29T21:01:01","date_gmt":"2024-06-29T13:01:01","guid":{"rendered":""},"modified":"2024-06-29T21:01:01","modified_gmt":"2024-06-29T13:01:01","slug":"\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u548c\u6df7\u5408\u6548\u5e94\u6a21\u578b\u533a\u522b_\u6df7\u5408\u6548\u5e94\u6a21\u578b\u7528\u4e8e\u54ea\u79cd\u7814\u7a76","status":"publish","type":"post","link":"https:\/\/mushiming.com\/7936.html","title":{"rendered":"\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u548c\u6df7\u5408\u6548\u5e94\u6a21\u578b\u533a\u522b_\u6df7\u5408\u6548\u5e94\u6a21\u578b\u7528\u4e8e\u54ea\u79cd\u7814\u7a76"},"content":{"rendered":"
\u76ee\u5f55<\/strong><\/p>\n 1 \u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u6982\u5ff5\uff08Fixed Effects Model\uff09<\/p>\n 1.1 stata\u547d\u4ee4<\/p>\n 1.1.1 LSDV\u6cd5\uff08Least squares dummy variable\uff09<\/p>\n 1.1.2 \u56fa\u5b9a\u6548\u5e94\u6a21\u578b\uff08Fixed Effects Model\uff09<\/p>\n 1.1.3 \u547d\u4ee4\u6bd4\u8f83(reg\u3001xtreg\u3001areg\u3001reghdfe)<\/p>\n 1.2 \u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u9009\u62e9\u2014\u2014F\u68c0\u9a8c <\/p>\n 1.2.1\u5355\u56e0\u7d20\u6548\u5e94\u76f4\u63a5\u770bP\u503c<\/p>\n 1.2.2\u53cc\u5411\u6548\u5e94\u68c0\u9a8c\uff08\u65f6\u70b9\u6548\u5e94\uff09<\/p>\n 2 \u968f\u673a\u6548\u5e94\u6a21\u578b\uff08Random Effects Model\uff09<\/p>\n 3 \u6df7\u5408\u6548\u5e94\u6a21\u578b\uff08Mixed Effects Model\uff09 <\/p>\n \u2014\u2014\u9009\u62e9\u4f7f\u7528\u6df7\u5408\u56de\u5f52\u8fd8\u662f\u968f\u673a\u6548\u5e94<\/p>\n 4 \u8c6a\u65af\u66fc\u68c0\u9a8c\u2014\u2014\u4e2a\u4f53\u6548\u5e94\u4e0e\u968f\u673a\u6548\u5e94\u9009\u62e9<\/p>\n 5 \u4ee3\u7801\u6574\u5408<\/p>\n 6 \u51fa\u73b0\u7684\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6cd5<\/p>\n \u5728\u9762\u677f\u6570\u636e\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u4e2d\uff0c \u5982\u679c\u5bf9\u4e8e\u4e0d\u540c\u7684\u622a\u9762\u6216\u4e0d\u540c\u7684\u65f6\u95f4\u5e8f\u5217\uff0c \u53ea\u662f\u6a21\u578b\u7684\u622a\u8ddd\u9879\u662f\u4e0d\u540c\u7684\uff0c \u800c\u6a21\u578b\u7684\u659c\u7387\u7cfb\u6570\u662f\u76f8\u540c\u7684\uff0c \u5219\u79f0\u6b64\u6a21\u578b\u4e3a\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u3002 \u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u5206\u4e3a\u4e09\u7c7b\uff1a<\/p>\n 1.\u4e2a\u4f53\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\uff1a<\/strong><\/span>\u5bf9\u4e8e\u4e0d\u540c\u7684\u7eb5\u5256\u9762\u65f6\u95f4\u5e8f\u5217\uff08\u4e2a\u4f53\uff09 \u53ea\u6709\u622a\u8ddd\u9879\u4e0d\u540c\u7684\u6a21\u578b<\/p>\n 2.\u65f6\u70b9\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\uff1a<\/strong><\/span>\u5bf9\u4e8e\u4e0d\u540c\u7684\u622a\u9762\uff08\u65f6\u70b9\uff09 \u6709\u4e0d\u540c\u622a\u8ddd\u7684\u6a21\u578b\u3002<\/span><\/p>\n 3.\u65f6\u70b9\u4e2a\u4f53\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\uff08\u53cc\u5411\u6548\u5e94\u6a21\u578b\uff09\uff1a<\/strong><\/span>\u5bf9\u4e8e\u4e0d\u540c\u7684\u622a\u9762\uff08\u65f6\u70b9\uff09\u3001 \u4e0d\u540c\u7684\u65f6\u95f4\u5e8f\u5217\uff08\u4e2a\u4f53\uff09 \u90fd\u6709\u4e0d\u540c\u622a\u8ddd\u6a21\u578b\u3002<\/span><\/p>\n<\/blockquote>\n \u6a21\u578b\u4e2d\u52a0\u5165\u4e00\u7cfb\u5217\u865a\u62df\u53d8\u91cf<\/strong>\u4f5c\u4e3a\u63a7\u5236\u53d8\u91cf\u4ee5\u8fbe\u5230\u63a7\u5236\u67d0\u4e9b\u7279\u5f81\u7684\u76ee\u7684\uff0c\u8fd9\u4e9b\u865a\u62df\u53d8\u91cf\u5c31\u53eb\u505a\u56fa\u5b9a\u6548\u5e94\u3002\u6bd4\u5982\u52a0\u884c\u4e1a<\/strong>\u56fa\u5b9a\u6548\u5e94\u3001\u5e74\u4efd<\/strong>\u56fa\u5b9a\u6548\u5e94\u3001\u5730\u533a<\/strong>\u56fa\u5b9a\u6548\u5e94\uff0c\u5b9e\u5219\u90fd\u662f\u52a0\u5165\u4e00\u8fde\u4e32\u7684\u884c\u4e1a\/\u5e74\u4efd\/\u5730\u533a\u865a\u62df\u53d8\u91cf\u4f5c\u4e3a\u63a7\u5236\u53d8\u91cf\uff0c\u4ee5\u8fbe\u5230\u5bf9\u884c\u4e1a\/\u5e74\u4efd\/\u5730\u533a\u7279\u5f81\u7684\u63a7\u5236\u3002<\/u><\/p>\n<\/p>\n \u5bf9\u4e8e\u65f6\u95f4\u6548\u5e94\uff0c\u5982\u679c\u6837\u672c\u662f\u4ee5\u5929\u4e3a\u5355\u4f4d\u7684\u80a1\u7968\u6570\u636e\uff0cday\u7684\u8303\u56f4\u8de8\u8d8a\u4e86365\u5929\uff0c\u7528LSDV\u5c31\u4f1a\u751f\u6210364\u4e2a\u865a\u62df\u53d8\u91cf\uff0c\u5bfc\u81f4\u7ed3\u679c\u5341\u5206\u5197\u957f\uff0c\u6b64\u65f6\u53ef\u4ee5\u7528\u56fa\u5b9a\u6548\u5e94\u6a21\u578b<\/strong>\uff082.2\uff09\u6765\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\u3002<\/p>\n \u56e0\u4e3a\u6570\u636e\u5f80\u5f80\u5b58\u5728\u5f02\u65b9\u5dee\u3001\u81ea\u76f8\u5173\u7b49\u95ee\u9898\uff0c\u5bfc\u81f4\u4f30\u8ba1\u7684\u6807\u51c6\u8bef\u4e0d\u51c6\u786e\uff0c\u6240\u4ee5\u6211\u4eec\u4f1a\u4f7f\u7528\u7a33\u5065\u6807\u51c6\u8bef\u6765\u66ff\u4ee3\u539f\u59cb\u6807\u51c6\u8bef\u3002\u5982\u4ee3\u7801\u4e2d\u4f7f\u7528\u7684**robust\uff08\u5f02\u65b9\u5dee\u7a33\u5065\u6807\u51c6\u8bef\uff09 \u548c cluster\uff08\u805a\u7c7b\u6587\u4ef6\u6807\u51c6\u8bef\uff09**\u4ee3\u8868\u7684\u662f\u91c7\u7528\u7a33\u5065\u6807\u51c6\u8bef\u7684\u4e0d\u540c\u5f62\u5f0f\u3002<\/p>\n \u5176\u4e2dreg+cluster(stkcd) \u7b49\u4ef7\u4e8e xtreg,fe + robust\uff0c\u662f\u76ee\u524d\u8bba\u6587\u4e2d\u5e38\u7528\u7684\u6bd4\u8f83\u7a33\u5065\u7684\u6807\u51c6\u8bef\u4e86\uff0c\u540c\u6837\uff0c\u4e5f\u662f\u6bd4\u8f83\u96be\u663e\u8457\u3002\u7a33\u5065\u548c\u663e\u8457\u5f88\u96be\u4e24\u5168\u3002 \u6a21\u578b\uff1a\u200b<\/p>\n \u6a21\u578b\uff1a<\/p>\n \u2014\u2014\u4e2a\u4f53\u56fa\u5b9a\uff1a<\/p>\n \u2014\u2014\u53cc\u5411\u56fa\u5b9a\uff1a<\/p>\n<\/blockquote>\n \u5b9e\u4f8b\uff1a<\/p>\n \u53cc\u5411\u6548\u5e94\u7ed3\u679c\uff1a<\/strong><\/span><\/p>\n \u200b<\/p>\n \uff08\u884c\u4e1a\uff09\u4e2a\u4f53\u6548\u5e94\u7ed3\u679c\uff1a<\/strong><\/span><\/p>\n \u200b <\/p>\n \u4e09\u79cd\u547d\u4ee4\u81ea\u53d8\u91cf\u7ed3\u679ct\u503c\u548c\u7cfb\u6570\u90fd\u662f\u4e00\u6837\u7684\uff0c\u533a\u522b\u5c31\u5728\u4e8e\u7ed3\u679c\u62a5\u544a\u7684\u5197\u957f\u7a0b\u5ea6\u3002<\/p>\n \u2014\u2014reg(\u666e\u901a\u4f30\u8ba1)<\/strong><\/p>\n \u2014\u2014reghdfe(\u591a\u7ef4\u4f30\u8ba1)<\/strong><\/p>\n \u2014\u2014xtreg, fe(\u7ec4\u5185\u4f30\u8ba1)<\/strong><\/p>\n \u5728\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u7ed3\u679c\u6700\u4e0b\u65b9\uff0c\u6709\u663e\u793a\u7684F\u503c\u548cP\u503c\uff0c\u5982P=0.0000<0.05\uff0c\u62d2\u7edd\u539f\u5047\u8bbe\u2192\u9002\u7528\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u3002<\/p>\n <\/p>\n \u53cc\u56e0\u7d20\u6548\u5e94\u7ed3\u679c\u6700\u4e0b\u65b9\u7684P\u503c\u4ee3\u8868\u4e2a\u4f53\u6548\u5e94\uff0c\u4ec5\u80fd\u7528\u4e8e\u5224\u65ad\u662f\u5426\u5b58\u5728\u4e2a\u4f53\u6548\u5e94\u3002<\/p>\n \u4f7f\u7528stata\u547d\u4ee4testparm\uff0c\u68c0\u9a8c\u6240\u6709\u7684\u65f6\u95f4\u865a\u62df\u53d8\u91cf\u7cfb\u6570\u662f\u5426\u90fd\u4e3a0\u3002\u5982\u4e0b\uff0cP=0.0000<0.05\uff0c\u62d2\u7edd\u539f\u5047\u8bbe\uff0c\u5373\u5b58\u5728\u65f6\u70b9\u6548\u5e94\u3002<\/p>\n \u7ed3\u679c <\/strong><\/span><\/p>\n <\/p>\n \u968f\u673a\u6548\u5e94\u6a21\u578b\u8ba4\u4e3a\u8bef\u5dee\u9879\u548c\u89e3\u91ca\u53d8\u91cf\u4e0d\u76f8\u5173\uff0c\u800c\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u8ba4\u4e3a\u8bef\u5dee\u9879\u548c\u89e3\u91ca\u53d8\u91cf\u662f\u76f8\u5173\u7684\u3002<\/p>\n <\/p>\n \u5404\u4e2a\u622a\u9762\u4f30\u8ba1\u65b9\u7a0b\u7684 \u622a\u8ddd\u548c\u659c\u7387\u9879\u90fd\u4e00\u6837 <\/p>\n <\/p>\n <\/p>\n <\/p>\n \u68c0\u9a8c\u5f97\u5230\u7684P \u503c\u4e3a0.0000\uff0c\u8868\u660e\u968f\u673a\u6548\u5e94\u6a21\u578b\u4f18\u4e8e\u6df7\u5408OLS \u6a21\u578b<\/p>\n \u539f\u5047\u8bbe\u662f\u968f\u673a\u6548\u5e94\u548c\u56fa\u5b9a\u6548\u5e94\u65e0\u5dee\u5f02\uff0c\u5982\u679c\u62d2\u7edd\u539f\u5047\u8bbe\uff0c\u5219\u91c7\u7528\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\uff0c\u5426\u5219\u4e3a\u968f\u673a\u6548\u5e94\u6a21\u578b\u3002<\/strong><\/u><\/p>\n \u7531\u4e8e\u4f20\u7edf\u7684\u8c6a\u65af\u66fc\u68c0\u9a8c\u5047\u8bbe\u7403\u5f62\u6270\u52a8\u9879\uff0c\u6545\u5728\u8fdb\u884c\u56fa\u5b9a\u6548\u5e94\u4e0e\u968f\u673a\u6548\u5e94\u7684\u4f30\u8ba1\u65f6\uff0c\u5747\u4e0d\u4f7f\u7528\u5f02\u65b9\u5dee\u6216\u805a\u7c7b\u7a33\u5065\u7684\u6807\u51c6\u8bef\u3002\u201cconstant\u201d\u8868\u793a\u5728\u6bd4\u8f83\u7cfb\u6570\u4f30\u8ba1\u503c\u65f6\u5305\u62ec\u5e38\u6570\u9879\uff08\u9ed8\u8ba4\u4e0d\u5305\u62ec\u5e38\u6570\u9879\uff09<\/p>\n <\/p>\n \u7531\u4e8ep\u6307\u4e3a0.0000\uff0c\u6545\u62d2\u7edd\u539f\u5047\u8bbe\uff0c\u8ba4\u4e3a\u5e94\u8be5\u4f7f\u7528\u56fa\u5b9a\u6548\u5e94\u6a21\u578b\uff0c\u800c\u975e\u968f\u673a\u6548\u5e94\u6a21\u578b\u3002<\/p>\n<\/p>\n \u6ce8\uff1a\u8ba1\u7b97\u51fa\u7684 s q r t ( d i a g ( V b \u2212 V B ) ) sqrt(diag(V_b-V_B)) sqrt(diag(Vb\u200b\u2212VB\u200b))\u53ef\u80fd\u4e3a\u8d1f\u3002<\/span>\u8bf4\u660e\u7684\u6a21\u578b\u8bbe\u5b9a\u6709\u95ee\u9898\uff0c\u5bfc\u81f4Hausman \u68c0\u9a8c\u7684\u57fa\u672c\u5047\u8bbe\u5f97\u4e0d\u5230\u6ee1\u8db3\uff0c\u9057\u6f0f\u53d8\u91cf\u7684\u95ee\u9898\uff0c\u6216\u8005\u67d0\u4e9b\u53d8\u91cf\u662f\u975e\u5e73\u7a33\u7b49\u7b49\u3002<\/p>\n<\/blockquote>\n <\/p>\n \u53ef\u4ee5\u6539\u7528hausman\u68c0\u9a8c\u7684\u5176\u4ed6\u5f62\u5f0f\uff1ahausman fe, sigmaless\u9009\u9879\uff0c\u8868\u793a\u7edf\u4e00\u4f7f\u7528\u968f\u673a\u6548\u5e94\u4f30\u8ba1\u91cf\u7684\u65b9\u5dee\u4f30\u8ba1\uff0c\u53ef\u4ee5\u51cf\u5c11\u51fa\u73b0\u8d1f\u503c\u7684\u53ef\u80fd\u6027\u3002<\/p>\n <\/p>\n \u5bfc\u5165\u9762\u677f\u6570\u636e\u65f6\u51fa\u73b0\u7684\u95ee\u98981<\/p>\n \u89e3\u51b3\u65b9\u6cd51<\/p>\n \u5bfc\u5165\u9762\u677f\u6570\u636e\u65f6\u51fa\u73b0\u7684\u95ee\u98982<\/p>\n \u89e3\u51b3\u65b9\u6cd52<\/p>\n \u5bfc\u5165\u9762\u677f\u6570\u636e\u65f6\u51fa\u73b0\u7684\u95ee\u98983<\/p>\n \u89e3\u51b3\u65b9\u6cd53<\/p>\n \u672c\u6587\u53c2\u8003\uff1a02 \u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u4e0eStata\u5b9e\u73b0_\u9ed1\u767e\u6930\u7684\u535a\u5ba2-CSDN\u535a\u5ba2_stata\u56fa\u5b9a\u6548\u5e94<\/p>\n \u3010Python+Stata\u3011\u8c6a\u65af\u66fc\u68c0\u9a8c\uff1a\u56fa\u5b9a\u6548\u5e94or\u968f\u673a\u6548\u5e94\uff1f_Python for Finance\u7684\u535a\u5ba2-CSDN\u535a\u5ba2_stata 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\n1 \u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u6982\u5ff5\uff08Fixed Effects Model\uff09<\/h2>\n
\n
1.1 stata\u547d\u4ee4<\/h3>\n
1.1.1 LSDV\u6cd5\uff08Least squares dummy variable\uff09<\/h4>\n
* LSDV\u6cd5 reg y x controls i.industry i.year, cluster(stkcd) \/\/ \u4ee5\u201ci.\u201d\u5f62\u5f0f\u52a0\u5165\u4e00\u7cfb\u5217\u865a\u62df\u53d8\u91cf\uff0c\u4f46\u662f\u4e0d\u751f\u6210\u8fd9\u4e9b\u865a\u62df\u53d8\u91cf\u3002\u6a21\u578b\u5b58\u5728\u53cc\u56e0\u7d20\u6548\u5e94 reg y x controls i.stkcd, cluster(stkcd) \/\/ \u6a21\u578b\u5b58\u5728\u4e2a\u4f53\u6548\u5e94 reg y x controls i.year, cluster(stkcd) \/\/ \u6a21\u578b\u5b58\u5728\u65f6\u95f4\u6548\u5e94 xi: reg y x controls i.stkcd i.year, cluster(stkcd) \/\/ \u52a0\u5165xi\uff0c\u5c31\u662f\u5728\u52a0\u5165\u865a\u62df\u53d8\u91cf\u7684\u57fa\u7840\u4e0a\u8fd8\u4f1a\u521b\u5efa\u8fd9\u4e9b\u865a\u62df\u53d8\u91cf\uff0c\u4e2a\u4eba\u4e00\u822c\u4e0d\u7528\u3002 * \u7ec4\u5185\u4f30\u8ba1\u6cd5 xtset industry year \/\/ \u9700\u8981\u5148\u8bbe\u5b9a\u9762\u677f\u6570\u636e xtreg y x controls i.year, fe robust \/\/ fe\u4ee3\u8868\u56fa\u5b9a\u6548\u5e94\u6a21\u578b * \u5176\u4ed6\u65b9\u6cd5 areg\u3001reghdfe\u7b49<\/code><\/pre>\n
<\/p>\n1.1.2 \u56fa\u5b9a\u6548\u5e94\u6a21\u578b<\/strong>\uff08Fixed Effects Model\uff09<\/h4>\n
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reg y x controls i.industry, robust<\/code><\/pre>\n<\/div>\n
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(xi:) reg y x controls i.industry i.year,robust<\/code><\/pre>\n<\/div>\n
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* \u6cd51 xtreg xtset id year \/\/\u9700\u8981\u5148\u5b9a\u4e49\u9762\u677f\u6570\u636e xtreg y x controls, fe robust \/\/\u5355\u56e0\u7d20\u4e2a\u4f53\u6548\u5e94 xtreg y x controls, fe i(year) robust \/\/ \u5355\u56e0\u7d20\u65f6\u95f4\u6548\u5e94\u6a21\u578b xtreg y x controls i.year, fe robust \/\/\u53cc\u5411\u6548\u5e94\u6a21\u578b * \u6cd52 reghdfe reghdfe y x controls, absorb(id, year)<\/code><\/pre>\n<\/div>\n
xtset industry year \/\/\u9700\u8981\u5148\u5b9a\u4e49\u9762\u677f\u6570\u636e \u884c\u4e1a\uff0c\u5e74\u4efd \/\/\u88ab\u89e3\u91ca\u53d8\u91cf\uff1alnQ8\uff0c\u89e3\u91ca\u53d8\u91cf\uff1aQ\uff0c\u63a7\u5236\u53d8\u91cf\uff1alnQ6 lnQ7 \/\/\u4e2a\u4f53\u6548\u5e94\u548c\u65f6\u95f4\u6548\u5e94\u7684\u56fa\u5b9a\u6548\u5e94\uff08\u53cc\u5411\u6548\u5e94\uff09 xtreg lnQ8 Q lnQ6 lnQ7 i.year, fe robust \/\/\u56fa\u5b9aindustry\uff0c\u4e2a\u4f53\u6548\u5e94 xtreg lnQ8 Q lnQ6 lnQ7 , fe robust<\/code><\/pre>\n<\/div>\n
1.1.3 \u547d\u4ee4\u6bd4\u8f83(reg\u3001xtreg\u3001areg\u3001reghdfe)<\/h4>\n
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xtreg invest mvalue kstock i.province i.year, fe<\/code><\/pre>\n<\/blockquote>\n
1.2 \u56fa\u5b9a\u6548\u5e94\u6a21\u578b\u9009\u62e9\u2014\u2014F\u68c0\u9a8c <\/h3>\n
1.2.1\u5355\u56e0\u7d20\u6548\u5e94\u76f4\u63a5\u770bP\u503c<\/strong><\/h4>\n
1.2.2\u53cc\u5411\u6548\u5e94\u68c0\u9a8c\uff08\u65f6\u70b9\u6548\u5e94\uff09<\/strong><\/h4>\n
testparm i.year \/\/\u68c0\u9a8c\u6240\u6709\u7684\u65f6\u95f4\u865a\u62df\u53d8\u91cf\u7cfb\u6570\u662f\u5426\u90fd\u4e3a0<\/code><\/pre>\n
2 \u968f\u673a\u6548\u5e94\u6a21\u578b\uff08Random Effects Model\uff09<\/h2>\n
xtreg lnQ8 Q lnQ6 lnQ7 i.year, re robust<\/code><\/pre>\n
3 \u6df7\u5408\u6548\u5e94\u6a21\u578b\uff08Mixed Effects Model\uff09 <\/h2>\n
\/\/vce(cluster year)\u8868\u793a\u4ee5\u201cyear\"\u4e3a\u805a\u7c7b\u53d8\u91cf\u7684\u805a\u7c7b\u7a33\u5065\u6807\u51c6\u8bef reg lnQ8 Q lnQ6 lnQ7,vce(cluster year) est sto OLS<\/code><\/pre>\n
\u2014\u2014\u9009\u62e9\u4f7f\u7528\u6df7\u5408\u56de\u5f52\u8fd8\u662f\u968f\u673a\u6548\u5e94<\/h3>\n
xttest0<\/code><\/pre>\n
reg lnQ8 Q lnQ6 lnQ7,vce(cluster year) \/\/\u6df7\u5408\u6548\u5e94\u6a21\u578b est sto OLS xtreg lnQ8 Q lnQ6 lnQ7 i.year, re \/\/\u968f\u673a\u6548\u5e94\u6a21\u578b est store re xttest0<\/code><\/pre>\n
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est table OLS fe re<\/code><\/pre>\n
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4 \u8c6a\u65af\u66fc\u68c0\u9a8c\u2014\u2014\u4e2a\u4f53\u6548\u5e94\u4e0e\u968f\u673a\u6548\u5e94\u9009\u62e9<\/h2>\n
xtreg lnQ8 Q lnQ6 lnQ7 , fe \/\/\u4e2a\u4f53\u56fa\u5b9a\u6548\u5e94 est store fe \/\/\u50a8\u5b58\u547d\u540d\u4e3afe xtreg lnQ8 Q lnQ6 lnQ7 , re \/\/\u968f\u673a\u6548\u5e94 est store re \/\/\u50a8\u5b58\u547d\u540d\u4e3are hausman fe re,constant \/\/\u8c6a\u65af\u66fc\u68c0\u9a8c <\/code><\/pre>\n
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hausman fe re,constant sigmamore<\/code><\/pre>\n
5 \u4ee3\u7801\u6574\u5408<\/h2>\n
xtset industry year \/\/ \u9700\u8981\u5148\u8bbe\u5b9a\u9762\u677f\u6570\u636e xtreg lnQ8 Q lnQ6 lnQ7 , re \/\/\u968f\u673a\u6548\u5e94\u6a21\u578b est store re \/\/\u50a8\u5b58\u547d\u540d\u4e3are reg lnQ8 Q lnQ6 lnQ7,vce(cluster year) \/\/\u6df7\u5408\u6548\u5e94\u6a21\u578b est sto OLS \u50a8\u5b58\u547d\u540d\u4e3aOLS xttest0 \/\/\u968f\u673a\u6548\u5e94\u6a21\u578b\u4e0e\u6df7\u5408\u6548\u5e94\u6a21\u578b\u9009\u62e9 xtreg lnQ8 Q lnQ6 lnQ7 , fe \/\/\u4e2a\u4f53\u56fa\u5b9a\u6548\u5e94 est store fe \/\/\u50a8\u5b58\u547d\u540d\u4e3afe hausman fe re,constant \/\/\u8c6a\u65af\u66fc\u68c0\u9a8c\uff0c\u9009\u62e9\u4e2a\u4f53\u56fa\u5b9a\u6548\u5e94\u8fd8\u662f\u968f\u673a\u6548\u5e94\u6a21\u578b est table OLS fe re \/\/\u5c06\u4e09\u4e2a\u6a21\u578b\u7ed3\u679c\u6574\u5408\u5728\u4e00\u8d77<\/code><\/pre>\n
6 \u51fa\u73b0\u7684\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6cd5<\/h2>\n
repeated time values within panel<\/code><\/pre>\n
destring industry,replace duplicates report industry year duplicates list industry year duplicates drop industry year , force Duplicates in terms of industry year xtset industry year <\/code><\/pre>\n
warning: existing panel variable is not year<\/code><\/pre>\n
xtreg y dig lntalent IE scal gov, fe i.year robust<\/code><\/pre>\n
command xtest is unrecognized<\/code><\/pre>\n
use http:\/\/www.stata-press.com\/data\/r15\/nlswork.dta xtset idcode year, yearly<\/code><\/pre>\n