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Limit theorems for factor models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F21%3A00546318" target="_blank" >RIV/00216208:11640/21:00546318 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985998:_____/21:00553111

  • Result on the web

    <a href="https://doi.org/10.1017/S0266466620000468" target="_blank" >https://doi.org/10.1017/S0266466620000468</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1017/S0266466620000468" target="_blank" >10.1017/S0266466620000468</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Limit theorems for factor models

  • Original language description

    This paper establishes central limit theorems (CLTs) and proposes how to perform valid inference in factor models. We consider a setting where many counties/regions/assets are observed for many time periods, and when estimation of a global parameter includes aggregation of a cross-section of heterogeneous microparameters estimated separately for each entity. The CLT applies for quantities involving both cross-sectional and time series aggregation, as well as for quadratic forms in time-aggregated errors. This paper studies the conditions when one can consistently estimate the asymptotic variance, and proposes a bootstrap scheme for cases when one cannot. A small simulation study illustrates performance of the asymptotic and bootstrap procedures. The results are useful for making inferences in two-step estimation procedures related to factor models, as well as in other related contexts. Our treatment avoids structural modeling of cross-sectional dependence but imposes time-series independence.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Econometric Theory

  • ISSN

    0266-4666

  • e-ISSN

    1469-4360

  • Volume of the periodical

    37

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    41

  • Pages from-to

    1034-1074

  • UT code for WoS article

    000721237700008

  • EID of the result in the Scopus database

    2-s2.0-85096290469