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* Add Statistics Menu * Add Granger Causality test * Apply Black formatting * Add Cointegration Tests * Adjust plotting for Cointegration test * Add Significant parameter to Cointegration tests * Move regression functions to seperate .py files * Progress on Panel Data * A lot of progress for Panel Data * Make functions robust and improve documentation * Re-enable Breusch-Godfrey * Add modify functionality * Improve modify functionality * Add Breusch-Pagan heteroscedasticity test * Capitalize a word * Include documentatin for the Statistics Menu * Update _index.md * Update _index.md * Update _index.md * Fix export statements and add Example datasets * Update example with Longley's dataset * Update documentation with a legit source * Compare the results from each regression models based on the wage_panel dataset * Updated with all relevant types of regression tables * Update with all relevant regression types for Panel data * Update _index.md * Add change column type, improve OLS, add time and entity effects for FE * Update documentation and fix a small bug * Add in Statistics menu, replacing Custom menu * Remove custom menu * Add in documentation * Add in gst files * Cointegration can be used on any amount of columns * Add Tests * Make tests time invariant * Update Poetry and Requirements * Change name of Statistics menu to Econometrics menu * Rename scripts * Add type in Documentation * Change names from Statistics to Econometrics * Add graph * Update tests with rounding and naming * Make minor adjustments to fix the tests * Updating tests : allow extra args for capture * Apply recorder formatting * Adding some minor formatting * Fix error with MyPy * Attempt to fix MyPy annoyance * super small style things * Fix small bugs and add plot command to dwat * Small description mistake * Update documentation with missing argument * Update styling * Add error handling and add improve show functionality * Fix merge issue * Allow import from custom_imports Co-authored-by: Jeroen Bouma <jeroenbouma@MacBook-Pro-van-Jeroen.local> Co-authored-by: jmaslek <jmaslek11@gmail.com> Co-authored-by: Chavithra PARANA <chavithra@gmail.com>
30 KiB
Vendored
30 KiB
Vendored
usage: usage: panel [-r {OPTIONS} [{OPTIONS} ...]] [-t {pols,re,bols,fe,fdols,POLS,RE,BOLS,FE,FDOLS}] [-ee] [-te] [-h] [--export {csv,json,xlsx}]]
Performs regression analysis on Panel Data. There are a multitude of options to select from to fit the needs of restrictions of the dataset.
Panel data includes observations on multiple entities – individuals, firms, countries – over multiple time periods. In most classical applications of panel data the number of entities, N, is large and the number of time periods, T, is small (often between 2 and 5). Most asymptotic theory for these estimators has been developed under an assumption that N will diverge while T is fixed. [Source: LinearModels]
Please refer to the documentation of LinearModels (or any Econometrics Textbook) to understand the difference between the models.
optional arguments:
-r {OPTIONS}, --regression {OPTIONS}
The regression you would like to perform, first variable is the dependent variable, consecutive variables the independent variables.
-t {pols,re,bols,fe,fdols,POLS,RE,BOLS,FE,FDOLS}, --type {pols,re,bols,fe,fdols,POLS,RE,BOLS,FE,FDOLS}
The type of regression you wish to perform. This can be either pols (Pooled OLS), re (Random Effects), bols (Between OLS), fe (Fixed Effects) or fdols (First Difference OLS) (default: pols)Effects) or fdols (First Difference OLS) (default: pols)
-ee, --entity_effects
Using this command creates entity effects, which is equivalent to including dummies for each entity. This is only used within Fixed Effects estimations (when type is set to 'fe') (default: False)
-te, --time_effects Using this command creates time effects, which is equivalent to including dummies for each time. This is only used within Fixed Effects estimations (when type is set to 'fe') (default: False)
-h, --help show this help message (default: False)
--export {csv,json,xlsx}
Export raw data into csv, json, xlsx (default: )
Below you can find examples of the dataset from Vella and M. Verbeek (1998), “Whose Wages Do Unions Raise? A Dynamic Model of Unionism and Wage Rate Determination for Young Men,” Journal of Applied Econometrics 13, 163-183. This is a well-known dataset also used within Chapter 14 of Introduction to Econometrics by Jeffrey Wooldridge. For these regressions, LinearModels is used.
2022 Feb 25, 08:07 (✨) /econometrics/ $ load wage_panel wp
2022 Feb 25, 08:08 (✨) /econometrics/ $ type
wp
┏━━━━━━━━━━━━┳━━━━━━━━━━┓
┃ columns ┃ dtypes ┃
┡━━━━━━━━━━━━╇━━━━━━━━━━┩
│ nr │ int64 │
├────────────┼──────────┤
│ year │ category │
├────────────┼──────────┤
│ black │ int64 │
├────────────┼──────────┤
│ exper │ int64 │
├────────────┼──────────┤
│ hisp │ int64 │
├────────────┼──────────┤
│ hours │ int64 │
├────────────┼──────────┤
│ married │ int64 │
├────────────┼──────────┤
│ educ │ int64 │
├────────────┼──────────┤
│ union │ int64 │
├────────────┼──────────┤
│ lwage │ float64 │
├────────────┼──────────┤
│ expersq │ int64 │
├────────────┼──────────┤
│ occupation │ int64 │
└────────────┴──────────┘
2022 Feb 25, 08:09 (✨) /econometrics/ $ index wp nr year
2022 Feb 25, 08:10 (✨) /econometrics/ $ type year-wp category
2022 Feb 25, 08:10 (✨) /econometrics/ $ show wp
wp
┏━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓
┃ ┃ nr ┃ year ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃
┡━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩
│ (13, 1980) │ 13.00 │ 1980.00 │ 0.00 │ 1.00 │ 0.00 │ 2672.00 │ 0.00 │ 14.00 │ 0.00 │ 1.20 │ 1.00 │ 9.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (13, 1981) │ 13.00 │ 1981.00 │ 0.00 │ 2.00 │ 0.00 │ 2320.00 │ 0.00 │ 14.00 │ 1.00 │ 1.85 │ 4.00 │ 9.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (13, 1982) │ 13.00 │ 1982.00 │ 0.00 │ 3.00 │ 0.00 │ 2940.00 │ 0.00 │ 14.00 │ 0.00 │ 1.34 │ 9.00 │ 9.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (13, 1983) │ 13.00 │ 1983.00 │ 0.00 │ 4.00 │ 0.00 │ 2960.00 │ 0.00 │ 14.00 │ 0.00 │ 1.43 │ 16.00 │ 9.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (13, 1984) │ 13.00 │ 1984.00 │ 0.00 │ 5.00 │ 0.00 │ 3071.00 │ 0.00 │ 14.00 │ 0.00 │ 1.57 │ 25.00 │ 5.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (13, 1985) │ 13.00 │ 1985.00 │ 0.00 │ 6.00 │ 0.00 │ 2864.00 │ 0.00 │ 14.00 │ 0.00 │ 1.70 │ 36.00 │ 2.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (13, 1986) │ 13.00 │ 1986.00 │ 0.00 │ 7.00 │ 0.00 │ 2994.00 │ 0.00 │ 14.00 │ 0.00 │ -0.72 │ 49.00 │ 2.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (13, 1987) │ 13.00 │ 1987.00 │ 0.00 │ 8.00 │ 0.00 │ 2640.00 │ 0.00 │ 14.00 │ 0.00 │ 1.67 │ 64.00 │ 2.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (17, 1980) │ 17.00 │ 1980.00 │ 0.00 │ 4.00 │ 0.00 │ 2484.00 │ 0.00 │ 13.00 │ 0.00 │ 1.68 │ 16.00 │ 2.00 │
├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤
│ (17, 1981) │ 17.00 │ 1981.00 │ 0.00 │ 5.00 │ 0.00 │ 2804.00 │ 0.00 │ 13.00 │ 0.00 │ 1.52 │ 25.00 │ 2.00 │
└────────────┴───────┴─────────┴───────┴───────┴──────┴─────────┴─────────┴───────┴───────┴───────┴─────────┴────────────┘
Pooled OLS Estimation:
2022 Feb 25, 08:51 (✨) /econometrics/ $ panel lwage-wp black-wp hisp-wp exper-wp expersq-wp married-wp educ-wp union-wp year-wp
PooledOLS Estimation Summary
================================================================================
Dep. Variable: lwage_wp R-squared: 0.1893
Estimator: PooledOLS R-squared (Between): 0.2066
No. Observations: 4360 R-squared (Within): 0.1692
Date: Fri, Feb 25 2022 R-squared (Overall): 0.1893
Time: 14:51:08 Log-likelihood -2982.0
Cov. Estimator: Unadjusted
F-statistic: 72.459
Entities: 545 P-value 0.0000
Avg Obs: 8.0000 Distribution: F(14,4345)
Min Obs: 8.0000
Max Obs: 8.0000 F-statistic (robust): 72.459
P-value 0.0000
Time periods: 8 Distribution: F(14,4345)
Avg Obs: 545.00
Min Obs: 545.00
Max Obs: 545.00
Parameter Estimates
================================================================================
Parameter Std. Err. T-stat P-value Lower CI Upper CI
--------------------------------------------------------------------------------
const 0.0921 0.0783 1.1761 0.2396 -0.0614 0.2455
black_wp -0.1392 0.0236 -5.9049 0.0000 -0.1855 -0.0930
hisp_wp 0.0160 0.0208 0.7703 0.4412 -0.0248 0.0568
exper_wp 0.0672 0.0137 4.9095 0.0000 0.0404 0.0941
expersq_wp -0.0024 0.0008 -2.9413 0.0033 -0.0040 -0.0008
married_wp 0.1083 0.0157 6.8997 0.0000 0.0775 0.1390
educ_wp 0.0913 0.0052 17.442 0.0000 0.0811 0.1016
union_wp 0.1825 0.0172 10.635 0.0000 0.1488 0.2161
year_wp.1981 0.0583 0.0304 1.9214 0.0548 -0.0012 0.1178
year_wp.1982 0.0628 0.0332 1.8900 0.0588 -0.0023 0.1279
year_wp.1983 0.0620 0.0367 1.6915 0.0908 -0.0099 0.1339
year_wp.1984 0.0905 0.0401 2.2566 0.0241 0.0119 0.1691
year_wp.1985 0.1092 0.0434 2.5200 0.0118 0.0243 0.1942
year_wp.1986 0.1420 0.0464 3.0580 0.0022 0.0509 0.2330
year_wp.1987 0.1738 0.0494 3.5165 0.0004 0.0769 0.2707
================================================================================
Between OLS Estimation:
2022 Feb 25, 08:51 (✨) /econometrics/ $ panel lwage-wp black-wp hisp-wp exper-wp married-wp educ-wp union-wp -t bols
BetweenOLS Estimation Summary
================================================================================
Dep. Variable: lwage_wp R-squared: 0.2155
Estimator: BetweenOLS R-squared (Between): 0.2155
No. Observations: 545 R-squared (Within): 0.1141
Date: Fri, Feb 25 2022 R-squared (Overall): 0.1686
Time: 14:51:15 Log-likelihood -194.54
Cov. Estimator: Unadjusted
F-statistic: 24.633
Entities: 545 P-value 0.0000
Avg Obs: 8.0000 Distribution: F(6,538)
Min Obs: 8.0000
Max Obs: 8.0000 F-statistic (robust): 24.633
P-value 0.0000
Time periods: 8 Distribution: F(6,538)
Avg Obs: 545.00
Min Obs: 545.00
Max Obs: 545.00
Parameter Estimates
==============================================================================
Parameter Std. Err. T-stat P-value Lower CI Upper CI
------------------------------------------------------------------------------
const 0.2836 0.1784 1.5897 0.1125 -0.0668 0.6340
black_wp -0.1414 0.0489 -2.8915 0.0040 -0.2375 -0.0453
hisp_wp 0.0100 0.0426 0.2355 0.8139 -0.0737 0.0938
exper_wp 0.0278 0.0113 2.4538 0.0144 0.0055 0.0501
married_wp 0.1416 0.0412 3.4346 0.0006 0.0606 0.2226
educ_wp 0.0913 0.0107 8.5159 0.0000 0.0702 0.1123
union_wp 0.2587 0.0460 5.6214 0.0000 0.1683 0.3491
==============================================================================
Random Effects Estimation:
2022 Feb 25, 08:53 (✨) /econometrics/ $ panel lwage-wp black-wp hisp-wp exper-wp expersq-wp married-wp educ-wp union-wp year-wp -t re
RandomEffects Estimation Summary
================================================================================
Dep. Variable: lwage_wp R-squared: 0.1806
Estimator: RandomEffects R-squared (Between): 0.1853
No. Observations: 4360 R-squared (Within): 0.1799
Date: Fri, Feb 25 2022 R-squared (Overall): 0.1828
Time: 14:56:19 Log-likelihood -1622.5
Cov. Estimator: Unadjusted
F-statistic: 68.409
Entities: 545 P-value 0.0000
Avg Obs: 8.0000 Distribution: F(14,4345)
Min Obs: 8.0000
Max Obs: 8.0000 F-statistic (robust): 68.409
P-value 0.0000
Time periods: 8 Distribution: F(14,4345)
Avg Obs: 545.00
Min Obs: 545.00
Max Obs: 545.00
Parameter Estimates
================================================================================
Parameter Std. Err. T-stat P-value Lower CI Upper CI
--------------------------------------------------------------------------------
const 0.0234 0.1514 0.1546 0.8771 -0.2735 0.3203
black_wp -0.1394 0.0480 -2.9054 0.0037 -0.2334 -0.0453
hisp_wp 0.0217 0.0428 0.5078 0.6116 -0.0622 0.1057
exper_wp 0.1058 0.0154 6.8706 0.0000 0.0756 0.1361
expersq_wp -0.0047 0.0007 -6.8623 0.0000 -0.0061 -0.0034
married_wp 0.0638 0.0168 3.8035 0.0001 0.0309 0.0967
educ_wp 0.0919 0.0107 8.5744 0.0000 0.0709 0.1129
union_wp 0.1059 0.0179 5.9289 0.0000 0.0709 0.1409
year_wp.1981 0.0404 0.0247 1.6362 0.1019 -0.0080 0.0889
year_wp.1982 0.0309 0.0324 0.9519 0.3412 -0.0327 0.0944
year_wp.1983 0.0202 0.0417 0.4840 0.6284 -0.0616 0.1020
year_wp.1984 0.0430 0.0515 0.8350 0.4037 -0.0580 0.1440
year_wp.1985 0.0577 0.0615 0.9383 0.3482 -0.0629 0.1782
year_wp.1986 0.0918 0.0716 1.2834 0.1994 -0.0485 0.2321
year_wp.1987 0.1348 0.0817 1.6504 0.0989 -0.0253 0.2950
================================================================================
Fixed Effects Estimation (no effects):
2022 Feb 25, 08:51 (✨) /econometrics/ $ panel lwage-wp expersq-wp union-wp married-wp year-wp -t fe
PanelOLS Estimation Summary
================================================================================
Dep. Variable: lwage_wp R-squared: 0.1246
Estimator: PanelOLS R-squared (Between): 0.0902
No. Observations: 4360 R-squared (Within): 0.1646
Date: Fri, Feb 25 2022 R-squared (Overall): 0.1246
Time: 14:51:21 Log-likelihood -3149.2
Cov. Estimator: Unadjusted
F-statistic: 61.920
Entities: 545 P-value 0.0000
Avg Obs: 8.0000 Distribution: F(10,4349)
Min Obs: 8.0000
Max Obs: 8.0000 F-statistic (robust): 61.920
P-value 0.0000
Time periods: 8 Distribution: F(10,4349)
Avg Obs: 545.00
Min Obs: 545.00
Max Obs: 545.00
Parameter Estimates
================================================================================
Parameter Std. Err. T-stat P-value Lower CI Upper CI
--------------------------------------------------------------------------------
const 1.3454 0.0222 60.606 0.0000 1.3019 1.3889
expersq_wp -0.0021 0.0003 -7.5081 0.0000 -0.0026 -0.0015
union_wp 0.1768 0.0176 10.032 0.0000 0.1423 0.2114
married_wp 0.1521 0.0159 9.5417 0.0000 0.1209 0.1834
year_wp.1981 0.1187 0.0303 3.9144 0.0001 0.0592 0.1781
year_wp.1982 0.1843 0.0306 6.0168 0.0000 0.1243 0.2444
year_wp.1983 0.2431 0.0313 7.7581 0.0000 0.1817 0.3046
year_wp.1984 0.3322 0.0324 10.236 0.0000 0.2685 0.3958
year_wp.1985 0.4112 0.0341 12.048 0.0000 0.3443 0.4781
year_wp.1986 0.5039 0.0365 13.806 0.0000 0.4323 0.5754
year_wp.1987 0.5952 0.0396 15.026 0.0000 0.5176 0.6729
================================================================================
Fixed Effects Estimation (entity effects):
2022 Feb 25, 08:51 (✨) /econometrics/ $ panel lwage-wp expersq-wp union-wp married-wp year-wp -t fe -ee
PanelOLS Estimation Summary
================================================================================
Dep. Variable: lwage_wp R-squared: 0.1806
Estimator: PanelOLS R-squared (Between): -0.0052
No. Observations: 4360 R-squared (Within): 0.1806
Date: Fri, Feb 25 2022 R-squared (Overall): 0.0807
Time: 14:52:24 Log-likelihood -1324.8
Cov. Estimator: Unadjusted
F-statistic: 83.851
Entities: 545 P-value 0.0000
Avg Obs: 8.0000 Distribution: F(10,3805)
Min Obs: 8.0000
Max Obs: 8.0000 F-statistic (robust): 83.851
P-value 0.0000
Time periods: 8 Distribution: F(10,3805)
Avg Obs: 545.00
Min Obs: 545.00
Max Obs: 545.00
Parameter Estimates
================================================================================
Parameter Std. Err. T-stat P-value Lower CI Upper CI
--------------------------------------------------------------------------------
const 1.4260 0.0183 77.748 0.0000 1.3901 1.4620
expersq_wp -0.0052 0.0007 -7.3612 0.0000 -0.0066 -0.0038
union_wp 0.0800 0.0193 4.1430 0.0000 0.0421 0.1179
married_wp 0.0467 0.0183 2.5494 0.0108 0.0108 0.0826
year_wp.1981 0.1512 0.0219 6.8883 0.0000 0.1082 0.1942
year_wp.1982 0.2530 0.0244 10.360 0.0000 0.2051 0.3008
year_wp.1983 0.3544 0.0292 12.121 0.0000 0.2971 0.4118
year_wp.1984 0.4901 0.0362 13.529 0.0000 0.4191 0.5611
year_wp.1985 0.6175 0.0452 13.648 0.0000 0.5288 0.7062
year_wp.1986 0.7655 0.0561 13.638 0.0000 0.6555 0.8755
year_wp.1987 0.9250 0.0688 13.450 0.0000 0.7902 1.0599
================================================================================
F-test for Poolability: 9.1568
P-value: 0.0000
Distribution: F(544,3805)
Included effects: Entity
Fixed Effects Estimation (time effects):
2022 Feb 25, 08:52 (✨) /econometrics/ $ panel lwage-wp expersq-wp union-wp married-wp -t fe -te
PanelOLS Estimation Summary
================================================================================
Dep. Variable: lwage_wp R-squared: 0.0535
Estimator: PanelOLS R-squared (Between): 0.0902
No. Observations: 4360 R-squared (Within): -0.1037
Date: Fri, Feb 25 2022 R-squared (Overall): 0.0005
Time: 14:52:45 Log-likelihood -3149.2
Cov. Estimator: Unadjusted
F-statistic: 81.891
Entities: 545 P-value 0.0000
Avg Obs: 8.0000 Distribution: F(3,4349)
Min Obs: 8.0000
Max Obs: 8.0000 F-statistic (robust): 81.891
P-value 0.0000
Time periods: 8 Distribution: F(3,4349)
Avg Obs: 545.00
Min Obs: 545.00
Max Obs: 545.00
Parameter Estimates
==============================================================================
Parameter Std. Err. T-stat P-value Lower CI Upper CI
------------------------------------------------------------------------------
const 1.6440 0.0173 94.902 0.0000 1.6100 1.6779
expersq_wp -0.0021 0.0003 -7.5081 0.0000 -0.0026 -0.0015
union_wp 0.1768 0.0176 10.032 0.0000 0.1423 0.2114
married_wp 0.1521 0.0159 9.5417 0.0000 0.1209 0.1834
==============================================================================
F-test for Poolability: 39.988
P-value: 0.0000
Distribution: F(7,4349)
Included effects: Time
Fixed Effects Estimation (entity and time effects):
2022 Feb 25, 08:52 (✨) /econometrics/ $ panel lwage-wp expersq-wp union-wp married-wp -t fe -te -ee
PanelOLS Estimation Summary
================================================================================
Dep. Variable: lwage_wp R-squared: 0.0216
Estimator: PanelOLS R-squared (Between): -0.0052
No. Observations: 4360 R-squared (Within): -0.4809
Date: Fri, Feb 25 2022 R-squared (Overall): -0.2253
Time: 14:52:53 Log-likelihood -1324.8
Cov. Estimator: Unadjusted
F-statistic: 27.959
Entities: 545 P-value 0.0000
Avg Obs: 8.0000 Distribution: F(3,3805)
Min Obs: 8.0000
Max Obs: 8.0000 F-statistic (robust): 27.959
P-value 0.0000
Time periods: 8 Distribution: F(3,3805)
Avg Obs: 545.00
Min Obs: 545.00
Max Obs: 545.00
Parameter Estimates
==============================================================================
Parameter Std. Err. T-stat P-value Lower CI Upper CI
------------------------------------------------------------------------------
const 1.8706 0.0378 49.430 0.0000 1.7964 1.9448
expersq_wp -0.0052 0.0007 -7.3612 0.0000 -0.0066 -0.0038
union_wp 0.0800 0.0193 4.1430 0.0000 0.0421 0.1179
married_wp 0.0467 0.0183 2.5494 0.0108 0.0108 0.0826
==============================================================================
F-test for Poolability: 10.067
P-value: 0.0000
Distribution: F(551,3805)
Included effects: Entity, Time
First Difference OLS Estimation:
2022 Feb 25, 08:52 (✨) /econometrics/ $ panel lwage-wp exper-wp expersq-wp union-wp married-wp -t fdols
FirstDifferenceOLS Estimation Summary
================================================================================
Dep. Variable: lwage_wp R-squared: 0.0268
Estimator: FirstDifferenceOLS R-squared (Between): 0.5491
No. Observations: 3815 R-squared (Within): 0.1763
Date: Fri, Feb 25 2022 R-squared (Overall): 0.5328
Time: 14:53:16 Log-likelihood -2305.5
Cov. Estimator: Unadjusted
F-statistic: 26.208
Entities: 545 P-value 0.0000
Avg Obs: 8.0000 Distribution: F(4,3811)
Min Obs: 8.0000
Max Obs: 8.0000 F-statistic (robust): 26.208
P-value 0.0000
Time periods: 8 Distribution: F(4,3811)
Avg Obs: 545.00
Min Obs: 545.00
Max Obs: 545.00
Parameter Estimates
==============================================================================
Parameter Std. Err. T-stat P-value Lower CI Upper CI
------------------------------------------------------------------------------
exper_wp 0.1158 0.0196 5.9096 0.0000 0.0773 0.1542
expersq_wp -0.0039 0.0014 -2.8005 0.0051 -0.0066 -0.0012
union_wp 0.0428 0.0197 2.1767 0.0296 0.0042 0.0813
married_wp 0.0381 0.0229 1.6633 0.0963 -0.0068 0.0831
==============================================================================