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Table 2 Median correlations across subsectors

From: The Balassa-Samuelson effect reversed: new evidence from OECD countries

 

AGR

IND

TSC

EGW

CST

SOC

PDBi (TFP), STAN (LP)

0.95

0.97

0.92

0.95

0.93

0.84

ISDB (TFP), STAN (LP)

0.90

0.91

0.93

0.75

0.76

0.28

ISDB (TFP), ISDB (LP)

0.99

0.98

0.98

0.96

0.94

0.97

ISDB (TFP), PDBi (TFP)

0.70

0.70

0.45

0.45

0.45

0.45

ISDB (LP), STAN (LP)

0.90

0.88

0.88

0.72

0.77

0.27

ISDB (EMP), STAN (EMP)

0.91

0.98

0.91

0.89

0.99

0.45

ISDB (VA), STAN (VA)

0.91

0.95

0.89

0.72

0.93

0.45

  1. Notes: The table contains median correlation coefficients between the variables in the three data sets for all six subsectors. The values are based on all countries for which a correlation coefficient can be calculated, including AGR, agriculture; IND, manufacturing; TSC, transport, storage, and communications; EGW, energy, gas, and water; CST, construction; and SOC, community, social, personal services. The first three rows show the median correlations between TFP from the PDBi or the ISDB and LP from the STAN data set or the ISDB. The median correlations between the LP from the STAN data set and the ISDB are reported in the fourth row. The last two rows contain the median correlation values between the EMP from the ISBD and the STAN data set and between VA from the same sources