Bank heterogeneity in interest rate pass-through: A panel evidence of Pakistan

This article examines the role of bank-level characteristics in determining the nature of interest rate pass-through from monetary policy rates to commercial banks’ lending rates in Pakistan. Several bank-level factors, namely market size, liquidity, capitalisation, profitability, and competition level, were used in analysing the pass-through mechanism. This study utilised a dynamic heterogeneous panel technique, namely the Pooled Mean Group (PMG) estimation for the sample of 12 private commercial banks, over the time span 2003:Q2 to 2015:Q4. Banks of smaller size, large capital, and higher liquidity were significantly affecting the interest rate pass-through procedure. Thus, to improve monetary policy’s transmission mechanism, Pakistan’s central bank should limit bank capitalisation and draw out excess liquidity from the banking sector.

What Goes Up Might Not Come Down: Modeling Directional Asymmetry with Large-N, Large-T Data

Modeling asymmetric relationships is an emerging subject of interest among sociologists. York and Light advanced a method to estimate asymmetric models with panel data, which was further developed by Allison. However, little attention has been given to the large- N, large- T case, wherein autoregression, slope heterogeneity, and cross-sectional dependence are important issues to consider. The authors fill this gap by conducting Monte Carlo experiments comparing the bias and power of the fixed-effects estimator to a set of heterogeneous panel estimators. The authors find that dynamic misspecification can produce substantial biases in the coefficients. Furthermore, even when the dynamics are correctly specified, the fixed-effects estimator will produce inconsistent and unstable estimates of the long-run effects in the presence of slope heterogeneity. The authors demonstrate these findings by testing for directional asymmetry in the economic development–CO2 emissions relationship, a key question in macro sociology, using data for 66 countries from 1971 to 2015. The authors conclude with a set of methodological recommendations on modeling directional asymmetry.