TY - JOUR
T1 - Hierarchical Modelling in International Business Research
T2 - Patterns, Problems, and Practical Guidelines
AU - Lindner, Thomas
AU - Puck, Jonas
AU - Doh, Jonathan
PY - 2021/6
Y1 - 2021/6
N2 - International Business (IB) phenomena often encompass activities at the nation, industry, firm, and individual levels. Consequently, empirical analyses in IB often consider at least two levels of analysis; failing to do so represents omitted variable bias. In this Perspectives paper, we review and evaluate the use and misuse of multi-level methods in IB, suggesting that IB scholars often fail to employ explicitly multilevel approaches when confronted with multi-level phenomena. We also assess different multi-level modeling techniques, noting that despite different nomenclature, many are functionally equivalent, and offer suggestions for best practices in the deployment of multi-level methods in IB.
AB - International Business (IB) phenomena often encompass activities at the nation, industry, firm, and individual levels. Consequently, empirical analyses in IB often consider at least two levels of analysis; failing to do so represents omitted variable bias. In this Perspectives paper, we review and evaluate the use and misuse of multi-level methods in IB, suggesting that IB scholars often fail to employ explicitly multilevel approaches when confronted with multi-level phenomena. We also assess different multi-level modeling techniques, noting that despite different nomenclature, many are functionally equivalent, and offer suggestions for best practices in the deployment of multi-level methods in IB.
KW - Econometrics
KW - Hierarchical data
KW - Quantitative methods
KW - Hierarchical data
KW - Quantitative methods
KW - Econometrics
U2 - 10.1016/j.jwb.2021.101224
DO - 10.1016/j.jwb.2021.101224
M3 - Journal article
AN - SCOPUS:85104459142
SN - 1090-9516
VL - 56
JO - Journal of World Business
JF - Journal of World Business
IS - 4
M1 - 101224
ER -