Hello all,
I am running a regression to analyse the impact of per capita spending on education on student test scores. The test score are obtained from the PISA survey which is conducted every 3 years. My dataset contains PISA scores since 2000 (i.e. 2000,2003,2006...,2018). When I run the regression, I see that STATA is not considering PISA scores for 2000, 2003, and 2006. Can anyone help me understand why is this happening, and how can I correct it? Here is a screenshot of my dataset:
I am running a regression to analyse the impact of per capita spending on education on student test scores. The test score are obtained from the PISA survey which is conducted every 3 years. My dataset contains PISA scores since 2000 (i.e. 2000,2003,2006...,2018). When I run the regression, I see that STATA is not considering PISA scores for 2000, 2003, and 2006. Can anyone help me understand why is this happening, and how can I correct it? Here is a screenshot of my dataset:
Code:
* Example generated by -dataex-. For more info, type help dataex clear input int Year float(country_id Overall_Average_Score) double(education_spending__GDP gdp_per_capita gini) 2000 1 528.2785 2.016412 28312.86654 . 2001 1 . . 29546.38199 . 2002 1 . . 30807.51408 . 2003 1 524.8465 . 32391.46999 . 2004 1 . . 34000.18232 . 2005 1 . 2.101533 35659.12549 . 2006 1 519.89355 . 37938.79208 . 2007 1 . . 39687.44861 . 2008 1 . 2.056001 40130.34169 . 2009 1 518.8372 2.205964 41672.93617 . 2010 1 . 2.275109 42816.44175 . 2011 1 . 2.138796 44440.57948 . 2012 1 512.48315 2.074064 43884.6356 .326 2013 1 . 2.061826 47763.2159 . 2014 1 . 2.043287 47606.75493 .337 2015 1 502.26355 1.993189 47226.75975 . 2016 1 . 1.991675 50136.79838 .33 2017 1 . 2.028433 50690.61954 . 2018 1 498.9854 2.066418 52991.2149 .325 2019 1 . 2.115632 52732.06568 . 2020 1 . . 55690.9186 .318 2021 1 . . 61977.19618 . 2000 2 492.056 . 29380.03111 . 2001 2 . . 29707.46226 . 2002 2 . . 31178.05144 . 2003 2 498.1521 . 32158.22591 . 2004 2 . . 33784.43265 . 2005 2 . . 35024.55748 . 2006 2 502.1716 . 37659.84067 . 2007 2 . . 39436.42013 .284 2008 2 . . 41316.02264 .28 2009 2 486.84 . 40929.33675 .289 2010 2 . . 42020.55064 .28 2011 2 . . 44469.20964 .281 2012 2 500.3105 2.251973 46477.65508 .276 2013 2 . 2.2804 47936.67796 .28 2014 2 . 2.202749 48813.53441 .274 2015 2 492.2151 2.187135 49942.05629 .275 2016 2 . 2.184957 52665.08746 .284 2017 2 . 2.130408 54188.36067 .275 2018 2 491.03845 2.025426 56956.11056 .28 2019 2 . 2.001613 59719.33165 .274 2020 2 . . 57253.30056 . 2021 2 . . 59976.26467 . 2000 3 507.1259 . 27789.05351 . 2001 3 . . 28791.40584 . 2002 3 . . 30281.66799 . 2003 3 518.1369 . 30934.59859 . 2004 3 . . 32063.6738 . 2005 3 . 4.092949 33176.68088 . 2006 3 510.5377 . 35253.92329 . 2007 3 . . 36794.2342 . 2008 3 . 4.353625 37883.23342 . 2009 3 509.2645 4.359445 37753.27627 . 2010 3 . 4.315599 39837.99795 . 2011 3 . 4.291925 40943.34348 . 2012 3 509.3383 2.746605 42290.47767 . 2013 3 . 2.757966 43672.71229 . 2014 3 . 2.716016 44929.93333 . 2015 3 502.50275 2.654477 46201.68589 . 2016 3 . 2.633516 48599.20268 . 2017 3 . 2.613172 50442.94752 . 2018 3 499.9026 2.569389 52530.84151 .258 2019 3 . 2.53095 55800.82599 .262 2020 3 . . 54539.03253 . 2021 3 . . 58806.11925 . 2000 4 534.31274 . 29362.28957 .315 2001 4 . . 30231.00503 .317 2002 4 . . 30963.22201 .317 2003 4 530.2002 . 32350.07088 .315 2004 4 . . 33925.89256 .321 2005 4 . . 36327.66206 .315 2006 4 529.4961 . 38120.17679 .316 2007 4 . . 39575.32497 .317 2008 4 . . 40376.33017 .315 2009 4 526.584 . 38865.40602 .316 2010 4 . . 40099.49789 .316 2011 4 . 1.5377 41666.71885 .313 2012 4 522.2119 1.501831 42290.87908 .317 2013 4 . 1.471402 44298.51446 .319 2014 4 . 1.447075 45753.78294 .312 2015 4 523.33997 1.435967 44670.05437 .318 2016 4 . 1.475583 46472.36877 .307 2017 4 . 1.369036 48317.19116 .31 2018 4 516.7 1.350653 49992.81142 .304 2019 4 . 1.352826 49832.29798 .3 2020 4 . . 47228.37249 .28 2021 4 . . 53074.08826 . 2000 5 409.5568 . 9440.041983 . 2001 5 . . 9845.971228 . 2002 5 . . 10205.70338 . 2003 5 . . 10779.63889 . 2004 5 . . 11682.59892 . 2005 5 . 1.851618 12600.90585 . 2006 5 430.5397 . 15589.15685 . 2007 5 . . 16771.1829 . 2008 5 . 1.851339 16449.61404 . 2009 5 439.2991 1.905145 16028.55 .48 2010 5 . 1.723623 18041.31482 . 2011 5 . 1.671707 20235.5706 .471 end