Table 3

Hierarchical linear model (HLM) for exports during the pre- and post-era

YearModelR2F(df)PR2 changeF(df) changeP
Pre-PCE era (2010,2012,2014)10.82163.216(4,55)0.000   
20.83454.444(5,54)0.0000.0134.278(1,54)0.043**
30.83544.659(6,53)0.0000.0000.128(1,53)0.722
40.83537.567(7,52)0.0000.0000.011(1,52)0.916
50.84234.066(8,51)0.0000.0072.413(1,51)0.126
60.84931.310(9,50)0.0000.0072.303(1,50)0.135
GDP (1.644)***, TRFR (25.335)***, LPCust (−1.112)**, N = 60
Post-PCE era (2016,2018)10.66817.625(4,35)0.000   
20.75120.506(5,34)0.0000.08311.295(1,34)0.002***
30.75116.614(6,33)0.0000.0000.043(1,33)0.838
40.75113.819(7,32)0.0000.0000.016(1,32)0.900
50.75411.890(8,31)0.0000.0030.350(1,31)0.558
60.76811.034(9,30)0.0000.0141.783(1,30)0.192
TRFR (15.481)***, IND (11.172)***, LPCust (−2.261)***, N = 40
Pre-PCE era (OLPI)10.82163.219(4,55)0.000   
20.82651.148(5,54)0.0000.0041.333(1,54)0.253
GDP (2.019)***, TRFR (25.91)***, N = 60
Post-PCE era (OLPI)10.66817.625(4,35)0.000   
20.74119.477(5,34)0.0000.0739.588(1,34)0.004

Note(s): GDP (1.306)***, TRFR (15.733)**, IND (10.870)***, OLPI (−2.312)***, N = 40

***p < 0.01, **p < 0.05, *p < 0.1. Model 1 uses the general OLPI index (overall); model 2 uses the LPI customs index; model 3 uses the LPI infrastructure; model 4 uses the LPI quality of logistics services index; Model 5 uses the LPI tracking and tracing index; model 6 uses the LPI timeliness. Coefficients are based on log-transformed variables and therefore reflect scaled associations rather than standardized beta coefficients

Source(s): Author’s elaboration

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