VIAF

Virtual International Authority File

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Leader     00000nz a2200037n 45 0
001     WKP|Q41805014  (VIAF cluster)  (Authority/Source Record)
003     WKP
005     20241221010832.0
008     241221nneanz||abbn n and d
035 ‎‡a  (WKP)Q41805014‏
024 ‎‡a  9337516200‏ ‎‡2  scopus‏
035 ‎‡a  (OCoLC)Q41805014‏
100 0 ‎‡a  Ivan Fernandez-Val‏ ‎‡9  fr‏ ‎‡9  pt‏ ‎‡9  ast‏ ‎‡9  sq‏ ‎‡9  it‏ ‎‡9  pt-br‏ ‎‡9  ga‏ ‎‡9  ca‏ ‎‡9  es‏
375 ‎‡a  1‏ ‎‡2  iso5218‏
400 0 ‎‡a  Ivan Fernandez-Val‏ ‎‡c  economist (Boston University)‏ ‎‡9  en‏
400 0 ‎‡a  Ivan Fernandez-Val‏ ‎‡c  econoom‏ ‎‡9  nl‏
400 0 ‎‡a  Ivan Fernandez-Val‏ ‎‡c  Wirtschaftswissenschaftler/in (Boston University)‏ ‎‡9  de‏
670 ‎‡a  Author's Censored Quantile Instrumental Variable Estimation with Stata‏
670 ‎‡a  Author's Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments‏
670 ‎‡a  Author's ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework‏
670 ‎‡a  Author's Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India‏
670 ‎‡a  Author's Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure‏
670 ‎‡a  Author's Quantile Regression with Censoring and Endogeneity‏
670 ‎‡a  Author's The Consequences of Teenage Childbearing: Consistent Estimates When Abortion Makes Miscarriage Nonrandom‏
670 ‎‡a  wikidata authority control‏ ‎‡u  https://viaf.org/processed/DNB|129354783‏
670 ‎‡a  wikidata authority control‏ ‎‡u  https://viaf.org/processed/ISNI|0000000053367392‏
670 ‎‡a  wikidata authority control‏ ‎‡u  https://viaf.org/processed/NTA|263302571‏
670 ‎‡a  wikidata authority control‏ ‎‡u  https://viaf.org/viaf/57689645‏
670 ‎‡a  wikidata authority control‏ ‎‡u  https://viaf.org/processed/LC|nr2004023425‏
909 ‎‡a  (scopus) 9337516200‏ ‎‡9  1‏
919 ‎‡a  quantileregressionundermisspecificationwithanapplicationtotheuswagestructure‏ ‎‡A  Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure‏ ‎‡9  1‏
919 ‎‡a  genericmachinelearninginferenceonheterogeneoustreatmenteffectsinrandomizedexperimentswithanapplicationtoimmunizationinindia‏ ‎‡A  Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India‏ ‎‡9  1‏
919 ‎‡a  extrapolateingexternalvalidityandoveridentificationinthelateframework‏ ‎‡A  ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework‏ ‎‡9  1‏
919 ‎‡a  evaluatingtheroleofincomestatedependenceandindividualspecificheterogeneityinthedeterminationofsubjectivehealthassessments‏ ‎‡A  Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments‏ ‎‡9  1‏
919 ‎‡a  censoredquantileinstrumentalvariableestimationwithstata‏ ‎‡A  Censored Quantile Instrumental Variable Estimation with Stata‏ ‎‡9  1‏
919 ‎‡a  quantileregressionwithcensoringandendogeneity‏ ‎‡A  Quantile Regression with Censoring and Endogeneity‏ ‎‡9  1‏
919 ‎‡a  consequencesofteenagechildbearingconsistentestimateswhenabortionmakesmiscarriagenonrandom‏ ‎‡A  The Consequences of Teenage Childbearing: Consistent Estimates When Abortion Makes Miscarriage Nonrandom‏ ‎‡9  1‏
946 ‎‡a  b‏ ‎‡9  1‏
996 ‎‡2  J9U|987007285174005171
996 ‎‡2  ISNI|0000000002057159
996 ‎‡2  ISNI|0000000031814980
996 ‎‡2  ISNI|000000011770001X
996 ‎‡2  LC|n 84234519
996 ‎‡2  NUKAT|n 2010079180
996 ‎‡2  SUDOC|032968957
996 ‎‡2  J9U|987007303655905171
996 ‎‡2  DNB|1193285240
996 ‎‡2  J9U|987009908919605171
996 ‎‡2  RERO|A027526980
996 ‎‡2  RERO|A000169652
996 ‎‡2  DNB|124881696
996 ‎‡2  SELIBR|6hzbcdr44pv8smmx
996 ‎‡2  ISNI|0000000120820442
996 ‎‡2  ISNI|0000000117981595
996 ‎‡2  BNE|XX1010496
996 ‎‡2  SUDOC|124294529
996 ‎‡2  LC|n 96088128
996 ‎‡2  NUKAT|n 2016148510
996 ‎‡2  SUDOC|240591879
996 ‎‡2  BNF|17112621
996 ‎‡2  ISNI|0000000080983393
996 ‎‡2  DNB|118521284
996 ‎‡2  SUDOC|160523494
996 ‎‡2  LC|no2002108528
996 ‎‡2  RERO|A017978812
996 ‎‡2  CAOONL|ncf11926126
996 ‎‡2  DNB|129354783
996 ‎‡2  LC|no 91002543
996 ‎‡2  DNB|1193286905
996 ‎‡2  NTA|423084917
996 ‎‡2  BNE|XX6111950
996 ‎‡2  NTA|113726651
996 ‎‡2  NLA|000048864478
996 ‎‡2  RERO|A021539169
996 ‎‡2  NLA|000048864477
996 ‎‡2  LC|n 50046650
996 ‎‡2  SZ|118625861
996 ‎‡2  DNB|1056605006
996 ‎‡2  BAV|495_367177
996 ‎‡2  SUDOC|08333761X
996 ‎‡2  ISNI|0000000117648071
996 ‎‡2  ISNI|0000000053367392
996 ‎‡2  NLA|000035574978
996 ‎‡2  BNC|981058511647606706
996 ‎‡2  DNB|1196048088
996 ‎‡2  BNF|12023552
996 ‎‡2  LC|n 84005256
996 ‎‡2  SUDOC|028620380
996 ‎‡2  BAV|495_5029
996 ‎‡2  BAV|495_5026
996 ‎‡2  N6I|vtls001217682
996 ‎‡2  BNE|XX820136
996 ‎‡2  ISNI|0000000122769599
996 ‎‡2  BNF|14648986
996 ‎‡2  BNF|15375900
996 ‎‡2  BNE|XX5065776
996 ‎‡2  BNF|12004437
996 ‎‡2  DNB|140255842
996 ‎‡2  DNB|126897786
996 ‎‡2  BNE|XX1081774
996 ‎‡2  BNE|XX5655521
996 ‎‡2  SELIBR|100178
996 ‎‡2  ISNI|0000000020513461
996 ‎‡2  ISNI|0000000495555147
996 ‎‡2  ISNI|0000000059478114
996 ‎‡2  SUDOC|028132289
996 ‎‡2  PLWABN|9812358656305606
996 ‎‡2  ISNI|0000000117810606
996 ‎‡2  SUDOC|028390431
996 ‎‡2  PLWABN|9810687448105606
996 ‎‡2  BNF|13603210
996 ‎‡2  N6I|vtls001405075
996 ‎‡2  ISNI|0000000000742355
996 ‎‡2  DNB|131724584
996 ‎‡2  LC|n 78046445
996 ‎‡2  RERO|A003193011
996 ‎‡2  NKC|mzk2009511042
996 ‎‡2  BNC|981058602694606706
996 ‎‡2  SUDOC|231907532
996 ‎‡2  NTA|439022797
996 ‎‡2  LC|no2011090088
996 ‎‡2  ISNI|0000000044673291
996 ‎‡2  BNF|11220583
996 ‎‡2  BNF|17824061
996 ‎‡2  BNF|12111031
996 ‎‡2  DNB|118625861
996 ‎‡2  LC|n 2018183030
996 ‎‡2  ERRR|a11374792
996 ‎‡2  RERO|A024215019
996 ‎‡2  N6I|vtls001157823
996 ‎‡2  BNC|981058511921206706
996 ‎‡2  NSK|000627806
996 ‎‡2  PTBNP|169175
996 ‎‡2  BNF|12388992
996 ‎‡2  SUDOC|075148420
996 ‎‡2  RERO|A009242337
996 ‎‡2  NII|DA1234233X
996 ‎‡2  SUDOC|068527373
996 ‎‡2  SUDOC|251568075
996 ‎‡2  BNC|981058515647206706
996 ‎‡2  NUKAT|n 2010155326
996 ‎‡2  LC|nr 93014455
996 ‎‡2  SUDOC|080473881
996 ‎‡2  ISNI|0000000047258595
996 ‎‡2  BNE|XX899979
996 ‎‡2  BNF|10584687
996 ‎‡2  BAV|495_145999
996 ‎‡2  NTA|355605864
996 ‎‡2  ISNI|0000000083396573
996 ‎‡2  BNC|981060172667606706
996 ‎‡2  NTA|070402000
996 ‎‡2  NUKAT|n 00028934
996 ‎‡2  N6I|vtls002056637
996 ‎‡2  ISNI|0000000061058450
996 ‎‡2  PTBNP|1853067
996 ‎‡2  BIBSYS|90242239
996 ‎‡2  RERO|A003164950
996 ‎‡2  NLA|000035029099
996 ‎‡2  BNE|XX845162
996 ‎‡2  BNE|XX5084541
996 ‎‡2  BNF|12002774
996 ‎‡2  SUDOC|087831538
996 ‎‡2  BNF|13531716
996 ‎‡2  BNE|XX1032279
997 ‎‡a  0 0 lived 0 0‏ ‎‡9  1‏
998 ‎‡a  Fernández-Val, Iván‏ ‎‡2  LC|nr2004023425‏ ‎‡3  suggested‏ ‎‡3  exact title: (1.00, 'quantileregressionundermisspecificationwithanapplicationtotheuswagestructure', 'quantileregressionundermisspecificationwithanapplicationtotheuswagestructure')‏
998 ‎‡a  Fernández-Val, Iván‏ ‎‡2  ISNI|0000000053367392‏ ‎‡3  suggested‏
998 ‎‡a  Fernandez-Val, Ivan‏ ‎‡2  ISNI|0000000053367392‏ ‎‡3  suggested‏
998 ‎‡a  Fernández-Val, Iván‏ ‎‡2  NTA|263302571‏ ‎‡3  suggested‏ ‎‡3  exact title: (1.00, 'quantileregressionundermisspecificationwithanapplicationtotheuswagestructure', 'quantileregressionundermisspecificationwithanapplicationtotheuswagestructure')‏
998 ‎‡a  Fernández-Val, Iván‏ ‎‡2  BIBSYS|4049847‏ ‎‡3  viafid‏ ‎‡3  title: (0.99, 'quantileregressionundermisspecificationwithanapplicationtotheuswagesstructure', 'quantileregressionundermisspecificationwithanapplicationtotheuswagestructure')‏
998 ‎‡a  Fernández-Val, Iván‏ ‎‡2  DNB|129354783‏ ‎‡3  suggested‏