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Table 7 Estimates of the exchange rate pass-through to consumer prices for Services

From: Heterogeneity in the exchange rate pass-through to consumer prices: the Swiss franc appreciation of 2015

Product category

Pre-trend difference

Standard DID estimate

Synthetic DID estimate

Implied pass-through

All-items HICP

0.01

\(-\)1.64\(^{***}\)

\(-\)1.23\(^{**}\)

0.12

(0.04)

(0.26)

(0.48)

Services (overall index)

0.11\(^{**}\)

\(-\)2.05\(^{***}\)

\(-\)1.02

0.1

(0.05)

(0.54)

(0.64)

Accommodation services

1.28\(^{***}\)

\(-\)5.89\(^{**}\)

\(-\)1.53

0.15

(0.32)

(2.54)

(1.19)

Audio–visual equipment repair

0.12\(^{*}\)

\(-\)5.13\(^{***}\)

\(-\)4.92\(^{***}\)

0.49

(0.06)

(1.9)

(1.36)

Cleaning, repair, and hire of clothing

0

\(-\)1.07\(^{***}\)

\(-\)0.29

0.03

(0.02)

(0.4)

(0.6)

Communications

\(-\)0.08\(^{**}\)

\(-\)0.06

\(-\)1.36

0.13

(0.04)

(0.38)

(1)

Cultural services

0.08\(^{***}\)

\(-\)2.92\(^{***}\)

\(-\)1.25

0.12

(0.01)

(0.5)

(0.86)

Education

0.18\(^{***}\)

\(-\)2.04\(^{*}\)

\(-\)0.17

0.02

(0.03)

(1.15)

(0.38)

Health

0.13\(^{***}\)

\(-\)1.36\(^{***}\)

\(-\)0.32

0.03

(0.02)

(0.17)

(0.8)

Maintenance and repair of the dwelling

0.07\(^{**}\)

\(-\)1.6\(^{***}\)

\(-\)0.15

0.02

(0.03)

(0.51)

(0.4)

Package holidays

0.43

\(-\)10.17\(^{***}\)

\(-\)6.94\(^{**}\)

0.69

(0.61)

(3.16)

(3.41)

Passenger transport by air

0

\(-\)4.15

\(-\)4.93

0.49

(1.22)

(7.36)

(7.2)

Recreational and cultural services

0.05\(^{***}\)

\(-\)1.65\(^{***}\)

\(-\)0.29

0.03

 

(0.01)

(0.47)

(0.98)

 

Restaurants and hotels

0.35\(^{***}\)

\(-\)3.08\(^{***}\)

\(-\)1.5\(^{*}\)

0.15

(0.05)

(0.21)

(0.81)

Restaurants and café

0.13\(^{***}\)

\(-\)2.41\(^{***}\)

\(-\)0.77

0.08

(0)

(0.56)

(0.53)

Services related to housing

0.11\(^{***}\)

\(-\)2.33\(^{***}\)

\(-\)0.46

0.05

(0.01)

(0.6)

(0.56)

Services related to holidays and accommodation

0.77\(^{*}\)

\(-\)7.94\(^{***}\)

\(-\)3.31

0.33

(0.4)

(2.34)

(2.65)

Services related to recreation and personal care

0.11\(^{***}\)

\(-\)2.15\(^{***}\)

\(-\)0.57

0.06

(0.01)

(0.5)

(0.46)

Services related to transport

\(-\)0.03

\(-\)1.14

\(-\)0.78

0.08

(0.19)

(1.28)

(1.36)

Telephone and telefax services

\(-\)0.1\(^{***}\)

0.96\(^{**}\)

\(-\)0.99

0.1

(0.04)

(0.38)

(1.39)

Transport insurance

0.18\(^{***}\)

\(-\)4.5\(^{***}\)

\(-\)0.19

0.02

(0.01)

(0.87)

(1.03)

Miscellaneous services

0.05\(^{***}\)

\(-\)1.4\(^{***}\)

\(-\)0.73\(^{*}\)

0.07

(0.01)

(0.41)

(0.41)

  1. The DID estimates are computed using the Eurostat (2022) HICP consumer price data from January 2014 to December 2015, with Switzerland as the treated unit and 33 European countries as a control group. The treatment time (Swiss franc appreciation) is in January 2015, so that the pre-treatment period is from January to December 2014 and post-treatment from January to December 2015. Standard DID estimates are computed with Eq. 3 using a GDP-weighted control group, and synthetic DID estimates with the Arkhangelsky et al. (2021) method. Pre-trend difference is the difference in slope between two pre-treatment linear regressions for Europe and Switzerland (Eq. 1) which should be zero under the pre-trend assumption. The 1-year pass-through is implied from the synthetic DID estimates and is computed using Eq. 4. \(^{*}p<0.1\); \(^{**}p<0.05\); \(^{***}p<0.01\)