linearmodels-4.24.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
linearmodels-4.24.dist-info/LICENSE.md,sha256=bi3c0CUs74NdTjjNaw0mwKtdfHdmaLTr13vDF4HxGzs,1661
linearmodels-4.24.dist-info/METADATA,sha256=sNZ_3nt99fTioL0sAj3jcTJu8xji77HXeUvome_OjUM,8613
linearmodels-4.24.dist-info/RECORD,,
linearmodels-4.24.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels-4.24.dist-info/WHEEL,sha256=OmDKD3JmZjhMu_YdpkiJDfFL1rf8n9nexhWCGhSBGVE,101
linearmodels-4.24.dist-info/direct_url.json,sha256=ndfh_z4zjqpCfRiznh_jCkznRDJrDqaIOKdLBIgSlDs,73
linearmodels-4.24.dist-info/top_level.txt,sha256=guXyVNLCBk-zAWKXwoaxOe5uotT8rvDa7Vrdn_FFxK8,13
linearmodels/__init__.py,sha256=Vl5Rxft5LuAkLiHWUMnSkUXpv85Llpblyysu9DMJskg,3149
linearmodels/__pycache__/__init__.cpython-37.pyc,,
linearmodels/__pycache__/_version.cpython-37.pyc,,
linearmodels/__pycache__/conftest.cpython-37.pyc,,
linearmodels/__pycache__/formula.cpython-37.pyc,,
linearmodels/_version.py,sha256=vVHk2IBYsq-p1knLrGyoOTEvfM4zYVoWAYENxcNTBQw,517
linearmodels/asset_pricing/__init__.py,sha256=5KAIyITFUieTvXBWz1RMIp34hYusmxpsls9aRLJ9vlE,156
linearmodels/asset_pricing/__pycache__/__init__.cpython-37.pyc,,
linearmodels/asset_pricing/__pycache__/covariance.cpython-37.pyc,,
linearmodels/asset_pricing/__pycache__/model.cpython-37.pyc,,
linearmodels/asset_pricing/__pycache__/results.cpython-37.pyc,,
linearmodels/asset_pricing/covariance.py,sha256=SxKT8lcQ-J00_kEvJ-45N2KtC32T3lLT8drxjtHsmh0,10656
linearmodels/asset_pricing/model.py,sha256=sLGcjqIykBT3d-p_-knAl_pjBGN5wOdX9CkCApvY_b8,40976
linearmodels/asset_pricing/results.py,sha256=hW1_Zis8b_wO2LJ6w2B7drjVWgocxlRSNadivkHtBpI,10452
linearmodels/compat/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/compat/__pycache__/__init__.cpython-37.pyc,,
linearmodels/compat/__pycache__/statsmodels.cpython-37.pyc,,
linearmodels/compat/statsmodels.py,sha256=SFq_yt6d2EVP36vaK6GGxnNwIHnEg-hh88E75XkKecA,466
linearmodels/conftest.py,sha256=bgf1U8OvCuYzzqwOfoJnpPwW24s1RCT5RXR6xLQPb6c,1609
linearmodels/datasets/__init__.py,sha256=3FJU2hPsPM3pcjFUiqz6IgzWMG0rMPu6JBSQK06Up5s,272
linearmodels/datasets/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/birthweight/__init__.py,sha256=cqxBJLsQVVM0lhiBmEyRgr5zotBeK_Btjvh5CH5UZRE,1006
linearmodels/datasets/birthweight/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/birthweight/birthweight.csv.bz2,sha256=ZPgQXAeN1rsbH3Znd-eKKl2uo_odNH2pd-CmkQ9OeiA,11243
linearmodels/datasets/card/__init__.py,sha256=U-jpOvnojeub3EhP9l8t1kh8NEyMYaxsREzATD7NTco,2035
linearmodels/datasets/card/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/card/card.csv.bz2,sha256=EBgZVcZIbCt8BcD0jjdMNPCZD1imqMUdaKAc0hqS1ho,44790
linearmodels/datasets/fertility/__init__.py,sha256=9chwFtLf0LhS20W3_AR-orrp34KzH8MplCxomHQYhg4,1069
linearmodels/datasets/fertility/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/fertility/fertility.csv.bz2,sha256=TNwA_bw2dLLlp4YX30aMjcSYI1X4_RvBhuJhpoNR4oI,7162
linearmodels/datasets/french/__init__.py,sha256=ZGp6RVw4sHFx56i-6motpnznW_NZnWQdB5nt3PHC4Xs,1386
linearmodels/datasets/french/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/french/french.csv.bz2,sha256=-rZIL08BGi_Owv0IfXQO7zxbzCSjlFlWmkIkUW_KG24,48052
linearmodels/datasets/fringe/__init__.py,sha256=Vb43jCPgwcX8-hElGVsKXA8xJjmJcN21VlvKaUspMGs,2086
linearmodels/datasets/fringe/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/fringe/fringe.csv.bz2,sha256=LsoxYfnFFfcyZoBPt_EpOOlfHYmv1hG6FT83H-I-lRk,26658
linearmodels/datasets/jobtraining/__init__.py,sha256=vg0PLpruVFen0xzUSTKYtD7msOn1M6mIuuvwQKTWU0s,1679
linearmodels/datasets/jobtraining/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/jobtraining/jobtraining.csv.bz2,sha256=YLH4uZXhpxSvYeCfRoJEz9lyvU2RRlWt5d66HHu28bE,17898
linearmodels/datasets/meps/__init__.py,sha256=vW33XGK8yigHZO74dpUHagOyqhFrzCZ-nplA9hkxMfA,1086
linearmodels/datasets/meps/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/meps/meps.csv.bz2,sha256=oa-ApkEX4Ht73ZCYk88VrGiPA-AQ81cVYmGKQh4i1io,304022
linearmodels/datasets/mroz/__init__.py,sha256=MD2EnT5GUf1mwchg1b6bCd1oMGbI6HDc4Uq6vNmtFKQ,1076
linearmodels/datasets/mroz/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/mroz/mroz.csv.bz2,sha256=1UZU561fSyyrQDsoI-kvi9wdfWYQy039mWHBYcACnUI,19474
linearmodels/datasets/munnell/__init__.py,sha256=-aDgVnoBWDDfIadEWcVdF89dg4dADAy6QqWHHuvdztE,561
linearmodels/datasets/munnell/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/munnell/munnell.csv.bz2,sha256=ULpQfpLFiLnub5bIWp14tG0OndaCBEcdggwb39MxzeI,21577
linearmodels/datasets/wage/__init__.py,sha256=sM_EW1VUzQ_d7vX4BFwbrNE2GUCS_p11EQG4WvN5I9k,1066
linearmodels/datasets/wage/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/wage/wage.csv.bz2,sha256=P0QwlsuyUTwDDKRjgJdXyFqGIQNqd7ipSXEQH6-WvtU,12142
linearmodels/datasets/wage_panel/__init__.py,sha256=TJIKFf-LLi7iCOBVCwxDjKaH9AX7c8CODACTtXxIu1M,833
linearmodels/datasets/wage_panel/__pycache__/__init__.cpython-37.pyc,,
linearmodels/datasets/wage_panel/wage_panel.csv.bz2,sha256=7k82cGSR1jSGFPBr_NWy7vQRYDWQqZbrsGEHiuECTng,42109
linearmodels/formula.py,sha256=sjujLAn3BS_LVHB3JpHiymKze36I2TWQwlaZ9hTyil4,1320
linearmodels/iv/__init__.py,sha256=ndRyW8bLgbdSHoIcD0BbOHG4xT_lMAo5L0TTKf9TDxU,301
linearmodels/iv/__pycache__/__init__.cpython-37.pyc,,
linearmodels/iv/__pycache__/_utility.cpython-37.pyc,,
linearmodels/iv/__pycache__/absorbing.cpython-37.pyc,,
linearmodels/iv/__pycache__/common.cpython-37.pyc,,
linearmodels/iv/__pycache__/covariance.cpython-37.pyc,,
linearmodels/iv/__pycache__/data.cpython-37.pyc,,
linearmodels/iv/__pycache__/gmm.cpython-37.pyc,,
linearmodels/iv/__pycache__/model.cpython-37.pyc,,
linearmodels/iv/__pycache__/results.cpython-37.pyc,,
linearmodels/iv/_utility.py,sha256=jjPBx4iOa4KXIIjueKKBFk2ZAPnAczXNoWxZ15rpty4,6004
linearmodels/iv/absorbing.py,sha256=VymXbqfvJoFinJ4WmhwA48jmw2-dpYJzXlDM5Nm0_5g,40850
linearmodels/iv/common.py,sha256=eYrNgksa67F_OMYIrXq7ZRnmPIEaQQgnaBlOLF2eXv0,2066
linearmodels/iv/covariance.py,sha256=sNjcRfuvvH6X82acTc_7YinAWyGN1ivAgKVwt_XqhGI,18888
linearmodels/iv/data.py,sha256=lz2HVQG8vYRsJa5J3bdAE9S1N0svMAv2ilV93xYbrEc,7134
linearmodels/iv/gmm.py,sha256=pGfCeIx7Xfwlvh-bKIU4RbAUbsMHry8VBkiFYkiUYEY,14455
linearmodels/iv/model.py,sha256=j2BKKPgxJU3Yjfb-rJdbiTa1O7_adYrrM3NBe3a4uxY,53912
linearmodels/iv/results.py,sha256=-5IyE9t1NwGiF0R8bjyZzNILXkRSNc_j46P5ZTMfp64,58449
linearmodels/panel/__init__.py,sha256=d4Ct5aP-bD2Bof9oYSvg79WMxihCv5xw1xsRXJuirQs,391
linearmodels/panel/__pycache__/__init__.cpython-37.pyc,,
linearmodels/panel/__pycache__/covariance.cpython-37.pyc,,
linearmodels/panel/__pycache__/data.cpython-37.pyc,,
linearmodels/panel/__pycache__/model.cpython-37.pyc,,
linearmodels/panel/__pycache__/results.cpython-37.pyc,,
linearmodels/panel/__pycache__/utility.cpython-37.pyc,,
linearmodels/panel/_utility.c,sha256=ma9g19Q7ROo9wLiJqBwdWuET3LzNhl6Ts8atS3YUSHU,1102937
linearmodels/panel/_utility.cp37-win_amd64.pyd,sha256=0rHyYyKPB6gpqfuikfUw2yOYO3nYZlphvguiB3XnNfE,174592
linearmodels/panel/_utility.pyx,sha256=oRWFYIojYXDKehXjOfZ5PLBLYKuYpNKcsNSk5m9BAOg,2686
linearmodels/panel/covariance.py,sha256=d7phQEZ-iUZWKNWCfdsKtT2NSvyTDBB0SsT_5-Jffis,23450
linearmodels/panel/data.py,sha256=5fV1CguAngpRa2DZ9YhFbuyaQH_IujSHllq4rYeL5_w,23190
linearmodels/panel/model.py,sha256=W-B4g0e9JrNgli52xR7SYJ91cMwVxlz8mzkOLpW-tYM,109269
linearmodels/panel/results.py,sha256=2UufTzE-9wjHO7rJoItoNi3HxrlVYHoQVBk-ZEfVNyI,36093
linearmodels/panel/utility.py,sha256=VOmtab5aLsZPdbjn6ulV_RfoSz7G_9zvkxYaT1OlM7E,19846
linearmodels/shared/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/shared/__pycache__/__init__.cpython-37.pyc,,
linearmodels/shared/__pycache__/base.cpython-37.pyc,,
linearmodels/shared/__pycache__/covariance.cpython-37.pyc,,
linearmodels/shared/__pycache__/exceptions.cpython-37.pyc,,
linearmodels/shared/__pycache__/hypotheses.cpython-37.pyc,,
linearmodels/shared/__pycache__/io.cpython-37.pyc,,
linearmodels/shared/__pycache__/linalg.cpython-37.pyc,,
linearmodels/shared/__pycache__/typed_getters.cpython-37.pyc,,
linearmodels/shared/__pycache__/utility.cpython-37.pyc,,
linearmodels/shared/base.py,sha256=wd35m-C_tEjTrtCIXkW6XqgGO21vXLVFUshq-rxn3G0,3864
linearmodels/shared/covariance.py,sha256=cixNhWZ3bIY-mR4V_u9jANeyv1FVz4wgvAJjgCWiSD8,2786
linearmodels/shared/exceptions.py,sha256=UABVN-zUQDSBkeLVQ4Vp7ixO-aQKvXWYkp1uiImUg7c,675
linearmodels/shared/hypotheses.py,sha256=fv6zk9bGagU0JHfOajv6sMPSXM0ULSCfORKFrVTXNZQ,5701
linearmodels/shared/io.py,sha256=xqsGoZyEMFnBxFOsH9wsfGysUBo8pRtdqbugCY6I6aM,3122
linearmodels/shared/linalg.py,sha256=YDQy1caD9b4ytpnmqQyTr3wOMp11LR1uR-3HVrOAcwI,1685
linearmodels/shared/typed_getters.py,sha256=0B4fNR_xpCREg3YcA4HQI0a7G1pzD5-_bZKdYUYuVfs,4437
linearmodels/shared/utility.py,sha256=hSXD8ImDgwPrQgYPxEzjTC2oM66ZSmUJ3NaI7u5iypg,7291
linearmodels/system/__init__.py,sha256=eqaUJtm-yWFdDyRmKdGhyP8bac1mWn59DFbHbT7bgpA,88
linearmodels/system/__pycache__/__init__.cpython-37.pyc,,
linearmodels/system/__pycache__/_utility.cpython-37.pyc,,
linearmodels/system/__pycache__/covariance.cpython-37.pyc,,
linearmodels/system/__pycache__/gmm.cpython-37.pyc,,
linearmodels/system/__pycache__/model.cpython-37.pyc,,
linearmodels/system/__pycache__/results.cpython-37.pyc,,
linearmodels/system/_utility.py,sha256=AtMTWgKN3VI22FgCVoNyBn8gQQTyDM5JK_UjHKGsit0,9395
linearmodels/system/covariance.py,sha256=GCrEq0cVF9iAAN9bsZlM9I3nf3OsWUXMD0R7sXep5C0,24517
linearmodels/system/gmm.py,sha256=mCvnCF_xlkCCExTIeKK390qUGGVIWeI1E-mxadMGbns,11364
linearmodels/system/model.py,sha256=EGImXtZbCaLVPampe_Ow2M6r7QS7-lZGGs8AUVos6YU,73795
linearmodels/system/results.py,sha256=Wo_O3NPX3d5S15jCuA9cIZjeRidopHK4huBgAb7KAgE,27816
linearmodels/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/__pycache__/test_examples.cpython-37.pyc,,
linearmodels/tests/__pycache__/test_tester.cpython-37.pyc,,
linearmodels/tests/asset_pricing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/asset_pricing/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/asset_pricing/__pycache__/_utility.cpython-37.pyc,,
linearmodels/tests/asset_pricing/__pycache__/test_covariance.cpython-37.pyc,,
linearmodels/tests/asset_pricing/__pycache__/test_formulas.cpython-37.pyc,,
linearmodels/tests/asset_pricing/__pycache__/test_linear_factor_gmm.cpython-37.pyc,,
linearmodels/tests/asset_pricing/__pycache__/test_linear_factor_model.cpython-37.pyc,,
linearmodels/tests/asset_pricing/__pycache__/test_model.cpython-37.pyc,,
linearmodels/tests/asset_pricing/_utility.py,sha256=QIq0oHu8CoapejnfVG9PAxFoewDIv1cEAT_hRilF_DE,1410
linearmodels/tests/asset_pricing/test_covariance.py,sha256=aLcuI3auMoU8iIirwcsWwJkyw1Cq99rGxTx-AVF4Bjg,1892
linearmodels/tests/asset_pricing/test_formulas.py,sha256=TI6f5x--ClRhjLPV1wM-IxafO7RVh82AAMVEbiwnaZQ,4175
linearmodels/tests/asset_pricing/test_linear_factor_gmm.py,sha256=2B0tAZbQ2udEo3yZA0ocFFLxu9L0b8biASCzBXukWU8,3356
linearmodels/tests/asset_pricing/test_linear_factor_model.py,sha256=JjdtKNy5BNfCcMq2NNd8vfxyRFN-VNjMXIdyjVuhDg0,12029
linearmodels/tests/asset_pricing/test_model.py,sha256=WU4rqkulNwLWfFTgmkyPDtA2hDcfbrw4ldkKp6v0fDM,7346
linearmodels/tests/datasets/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/datasets/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/datasets/__pycache__/test_datasets.cpython-37.pyc,,
linearmodels/tests/datasets/test_datasets.py,sha256=dBJ8isak9AXcHywqPcJ4DvIqh15cic5N8Kq-q4XhtBk,636
linearmodels/tests/iv/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/iv/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/_utility.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_absorbing.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_against_stata.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_covariance.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_data.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_formulas.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_gmm.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_missing_data.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_model.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_postestimation.cpython-37.pyc,,
linearmodels/tests/iv/__pycache__/test_results.cpython-37.pyc,,
linearmodels/tests/iv/_utility.py,sha256=PAZjpUDdRDlc7jPBdvuP3CEsBdA2vdbf7y3jvK1rhbo,1442
linearmodels/tests/iv/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/iv/results/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/iv/results/__pycache__/execute-stata-simulated-data.cpython-37.pyc,,
linearmodels/tests/iv/results/__pycache__/execute-stata.cpython-37.pyc,,
linearmodels/tests/iv/results/__pycache__/read_stata_results.cpython-37.pyc,,
linearmodels/tests/iv/results/__pycache__/simulated-test-data.cpython-37.pyc,,
linearmodels/tests/iv/results/execute-stata-simulated-data.py,sha256=6_Vx9K6t2IHE89PXX8ef7Ycd71p9mvMdzACVACexSPU,4151
linearmodels/tests/iv/results/execute-stata.py,sha256=lLYDCmUGblVjinuE-AnYMtbB6dSe2aYtEhtspREzngc,2583
linearmodels/tests/iv/results/housing.csv,sha256=HSiXdNh3zwULe2FlwHVjsVIcHMhDQEsyjx-h7CkKug8,5777
linearmodels/tests/iv/results/read_stata_results.py,sha256=kdBCO7GT1GH8KJktwrnjYDRBF5_2PjdIb8P91LrEmbA,3500
linearmodels/tests/iv/results/simulated-data.dta,sha256=99jxeT_JfTQoUmY4bWXbR-HDQNdpB-OmljGG4V-wMo8,97696
linearmodels/tests/iv/results/simulated-test-data.py,sha256=v_6b3YQ2BClpY0AE2mGjBiTevVq9PNpQX0Ysn37gEME,2334
linearmodels/tests/iv/results/stata-iv-housing-results.txt,sha256=B_HoHzRxgZec4IXf-g-YFoPwzIpsFEdk9CgVQ-83B9g,13232
linearmodels/tests/iv/results/stata-iv-simulated-results.txt,sha256=4d7McG70YUn-zKjvppQH-kGsi6BbZ-42yELEVQml7MU,547258
linearmodels/tests/iv/test_absorbing.py,sha256=8MbTYua8cqMqMNY3xT54It6jVAaHyTBcqPzntJKCZq4,23597
linearmodels/tests/iv/test_against_stata.py,sha256=XKkgkz4eWGExkJoplauuGnY2KkJTcSoZgBtnhPhjLTI,7727
linearmodels/tests/iv/test_covariance.py,sha256=hUspTHI4ihLw-pJ8pu91XvNFyRhSnC1ALYTOmHvuIgg,11734
linearmodels/tests/iv/test_data.py,sha256=qwrjvpUr1EA0UNIxVnUYRNN3gNhd3IEhGd7Zn--CGeA,8557
linearmodels/tests/iv/test_formulas.py,sha256=hV_WRysaEWSbkR855c9-nVs7ZcgLU2WZsF1P9wLEGfo,9329
linearmodels/tests/iv/test_gmm.py,sha256=SrPfBNvpJ0x0BaefQ_h0KofD0YZ3xbHD8T8hXZuqgKs,10376
linearmodels/tests/iv/test_missing_data.py,sha256=vxGbu0Ys3PLsJrWChWB0lD9PTXRS5ZgAn9HtcfkMK8o,2797
linearmodels/tests/iv/test_model.py,sha256=-izzqzTr84U__LSInIecUObUifXiH2SJm9g0R0yZQrE,14538
linearmodels/tests/iv/test_postestimation.py,sha256=OcudCq5YCmYDd_-7Z5YCJcfTLqjhQdJABYmqBFkHxqE,5079
linearmodels/tests/iv/test_results.py,sha256=NHFVGYWexavjpX-r0CwK4dADbSW8hBWMpxWRbQmWGog,3293
linearmodels/tests/panel/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/panel/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/_utility.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_between_ols.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_cluster_input_formats.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_data.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_fama_macbeth.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_firstdifference_ols.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_formula.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_model.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_panel_covariance.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_panel_ols.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_pooled_ols.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_random_effects.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_results.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_simulated_against_stata.cpython-37.pyc,,
linearmodels/tests/panel/__pycache__/test_utility.cpython-37.pyc,,
linearmodels/tests/panel/_utility.py,sha256=4ZwZ-57NpAagnT55t2He2FXEdb2kCILFJ1ARMYPCw7A,7552
linearmodels/tests/panel/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/panel/results/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/panel/results/__pycache__/execute-stata-simulated-data.cpython-37.pyc,,
linearmodels/tests/panel/results/__pycache__/generate-panel-data.cpython-37.pyc,,
linearmodels/tests/panel/results/__pycache__/parse_stata_results.cpython-37.pyc,,
linearmodels/tests/panel/results/execute-stata-simulated-data.py,sha256=v7Mziu5s42moyKwJH00js-_tDCOJlmYoNzyS2OvqzTE,3398
linearmodels/tests/panel/results/generate-panel-data.py,sha256=CBmtFDXPLgGkh1JBRNdqMECSlqx0UTsJESxf2-FpOBE,1807
linearmodels/tests/panel/results/parse_stata_results.py,sha256=HRIzzvIVqZpg5WdKT8jrJq_zxdkdOPMmnrqVvHt15wE,2018
linearmodels/tests/panel/results/simulated-panel.dta,sha256=qbtvN2w5MUMJXzxFYQDrQhIgWyXy6tET3El5OlPvNks,578091
linearmodels/tests/panel/results/stata-panel-simulated-results.txt,sha256=LV2yFyZH9EBUIobYvJT-ht4HadZs7SZs84kHT_YTHbU,65624
linearmodels/tests/panel/test_between_ols.py,sha256=9SWrwwQ3FrRITdLgRmvQpEbBIPd7e2JktSfgc9q6TS8,11906
linearmodels/tests/panel/test_cluster_input_formats.py,sha256=WxYpyicfKsdC9iUUP8ZHzNvyl9xk_LT1nfDtoxyPlxs,4972
linearmodels/tests/panel/test_data.py,sha256=4WfcPc0Hmi2yh703Ba3L8lN4Dn5HlE9TxKjVcvWfRXo,28029
linearmodels/tests/panel/test_fama_macbeth.py,sha256=cFsNHvhVqavzwOEvbL23x9t5JGv8UF7aD_f_Ks383NQ,4777
linearmodels/tests/panel/test_firstdifference_ols.py,sha256=reIhxcHW6mzY9k5HIRwp1Gm9XZUVI9hFE0ujTrowxXI,7010
linearmodels/tests/panel/test_formula.py,sha256=3x2R2yc8C-lBVlztPox9lNORyuaEd8O6jf-ISfvJYUQ,9537
linearmodels/tests/panel/test_model.py,sha256=FlmqKbLQbaEcu_RkTpdtZ-WHJ8n_n-jBGW74QLYRuCk,7971
linearmodels/tests/panel/test_panel_covariance.py,sha256=c9f8f9pzhiBkNUxwyKrM5N__-59guA3NrEJANNsJ87c,6612
linearmodels/tests/panel/test_panel_ols.py,sha256=a6gIOAyUa2J1_v20zn0bKBFywVWXci1TrvSgQFuXAbg,48540
linearmodels/tests/panel/test_pooled_ols.py,sha256=Vjots7kmFlMt_LkPvINjtIczsNKLppctvMgKxdTagKM,7763
linearmodels/tests/panel/test_random_effects.py,sha256=bDW4FA4NbMynl4fLfHDJAB_EQqrWox07bLwKDSapFK4,2738
linearmodels/tests/panel/test_results.py,sha256=-tXFzrawn5KkspoUykCPRilexNP2t0ILWcMnkk3yoRs,7580
linearmodels/tests/panel/test_simulated_against_stata.py,sha256=CL2mTr-BJwFvyMsK2EHYpiF8j9ly4mrSrd78wOQ1uHc,4928
linearmodels/tests/panel/test_utility.py,sha256=iPh2wPT3BOeiZiHuxOTOykvN_BxkfEMpzz-BsCosPjA,9217
linearmodels/tests/shared/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/shared/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/shared/__pycache__/test_base.cpython-37.pyc,,
linearmodels/tests/shared/__pycache__/test_typed_getters.cpython-37.pyc,,
linearmodels/tests/shared/__pycache__/test_utility.cpython-37.pyc,,
linearmodels/tests/shared/test_base.py,sha256=F97k_iy0ek6WUa4M1LlwwMEfl8lrfEfNtydY9j3tr9I,193
linearmodels/tests/shared/test_typed_getters.py,sha256=z33ckwAm1R3m9V8FLUoaIp_iTPcSC56qeJFhHVH5fkQ,2574
linearmodels/tests/shared/test_utility.py,sha256=nK7HSr8PLQG4INls_AlxjbBKVwEmCnAka-VX1kHgkzk,7095
linearmodels/tests/system/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/system/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/_utility.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_3sls.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_3sls_against_stata.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_covariance.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_equivalence.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_formulas.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_gmm.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_sur.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_sur_against_stata.cpython-37.pyc,,
linearmodels/tests/system/__pycache__/test_utility.cpython-37.pyc,,
linearmodels/tests/system/_utility.py,sha256=-WcyFfKdZjSb6jIkczv3l-DnC-0wW3Y6l-SPth1Lc1g,12470
linearmodels/tests/system/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
linearmodels/tests/system/results/__pycache__/__init__.cpython-37.pyc,,
linearmodels/tests/system/results/__pycache__/execute-stata-3sls.cpython-37.pyc,,
linearmodels/tests/system/results/__pycache__/execute-stata.cpython-37.pyc,,
linearmodels/tests/system/results/__pycache__/generate_data.cpython-37.pyc,,
linearmodels/tests/system/results/__pycache__/parse_stata_3sls_results.cpython-37.pyc,,
linearmodels/tests/system/results/__pycache__/parse_stata_results.cpython-37.pyc,,
linearmodels/tests/system/results/execute-stata-3sls.py,sha256=weIPZ23dgi3E8qJcnz2mij8vKeOQmlkjA4z-O1HvQJU,2700
linearmodels/tests/system/results/execute-stata.py,sha256=1tSCe9bgd1dFizKNWL-EfYcQe3sLopG-k19PR3XFSPY,3637
linearmodels/tests/system/results/generate_data.py,sha256=Lx8IQKt2BQtX3UfrycGx4_96aYhMW9f0DvDm22Mrt60,1570
linearmodels/tests/system/results/parse_stata_3sls_results.py,sha256=tBWNVhcxp5oFa3314-vrWEbqMgd8DuVS1Vg11MZWoSQ,2711
linearmodels/tests/system/results/parse_stata_results.py,sha256=8LrCYXlKBk8SFWwUsELuaQPtswpUqc1oq66FbLDD98k,3392
linearmodels/tests/system/results/simulated-3sls.dta,sha256=GSHySkhQOUniCvEf8pYpglnIJ2BbrX-fJ-MMTJUdiV0,50504
linearmodels/tests/system/results/simulated-sur.dta,sha256=OzaJ9n0EVDKB_2FVOfPYV5mtkbZze2umjXHnTydPmQU,55085
linearmodels/tests/system/results/stata-3sls-results.txt,sha256=gMKd32Z5tzCBmQw-qToZOXYn4Zfen_425dg_Vbc_tqc,85208
linearmodels/tests/system/results/stata-sur-results.txt,sha256=9EgtwdImP-ZCge-x9TyZuvlSeJBrII_YrOnx706Yg64,32162
linearmodels/tests/system/test_3sls.py,sha256=ZBUQqlg3XhORwzJ0edD47iQ080nuWZgg-98rbIETj5o,10172
linearmodels/tests/system/test_3sls_against_stata.py,sha256=w3aOuOp4dNpzQPo3ryz6rRa5tBXV5mMoXgE2ajDlAZI,2515
linearmodels/tests/system/test_covariance.py,sha256=xkMIMGisypagZS2ENobkDRyBQ4dhYektactmzW1jZbQ,12364
linearmodels/tests/system/test_equivalence.py,sha256=tGTA2fUkLphdc5xfnvCmW2pAHd1O6QZl12idaMTDEfw,1619
linearmodels/tests/system/test_formulas.py,sha256=iYXtVDaQ8CAO9uA8W1OZSYJ5xZXlMMdYFaP6IJprhJI,5892
linearmodels/tests/system/test_gmm.py,sha256=6FZvyhP5tNHorS2AsJacosOd5aj63MSlze8zOuAFZBs,13685
linearmodels/tests/system/test_sur.py,sha256=kWugYHFYmjdOMzuY7IDZOleZH3rnU8E2X1GNDOiKZFI,28765
linearmodels/tests/system/test_sur_against_stata.py,sha256=ITr5XVzBrKwz8k6kkzuQVDTgR8FFbdF4es5xZeb230M,5259
linearmodels/tests/system/test_utility.py,sha256=VXbv3ERsoKwf84Dzv0tSNInb_Zz4o6B35egGp2ZZK8g,6165
linearmodels/tests/test_examples.py,sha256=zuBWFRwByqdmcFzERekkOfTuArNKbMxpNQEmbZceXp8,2100
linearmodels/tests/test_tester.py,sha256=F1r3HCOsGh4HIszqX1W8gRbmnBQGdHhuZVT6-HxCEGg,710
linearmodels/typing/__init__.py,sha256=UmhekobY-OeLRq5ULbgC_QWtEI5tnWP0EFM1D27qP00,588
linearmodels/typing/__pycache__/__init__.cpython-37.pyc,,
linearmodels/typing/__pycache__/data.cpython-37.pyc,,
linearmodels/typing/__pycache__/iv.cpython-37.pyc,,
linearmodels/typing/data.py,sha256=iogK4IfyZvQRV9c2sk70InTSb__CGWvjpmHSaeSzJJE,416
linearmodels/typing/iv.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
