Počet záznamov: 1
Identification in models with discrete variables
Názov Identification in models with discrete variables Aut.údaje Lukáš Lafférs Autor Lafférs Lukáš 1986- (100%) UMBFP10 - Katedra matematiky
Zdroj.dok. Computational Economics. Vol. 53, no. 2 (2019), pp. 657-696. - New York : Springer, 2019 Kľúč.slová čiastočná identifikácia lineárne programovanie - linear programming analýza citlivosti Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Spojené štáty Anotácia Thispaperprovidesanovel,simple,andcomputationallytractablemethod for determining an identified set that can account for a broad set of economic models when the economic variables are discrete. Using this method, we show using a sim- ple example how imperfect instruments affect the size of the identified set when the assumption of strict exogeneity is relaxed. This knowledge can be of great value, as it is interesting to know the extent to which the exogeneity assumption drives results, given it is often a matter of some controversy. Moreover, the flexibility obtained from our newly proposed method suggests that the determination of the identified set need no longer be application specific, with the analysis presenting a unifying framework that algorithmically approaches the question of identification URL Link na plný text Kategória publikačnej činnosti ADC Číslo archívnej kópie 45942 Kategória ohlasu TORGOVITSKY, Alexander. Partial identification by extending subdistributions. In Quantitative economics. ISSN 1759-7323, 2019, vol. 10, no. 1, pp. 105-144.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika 
nerozpoznaný
Počet záznamov: 1