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Table 5 Estimates of the exchange rate pass-through to consumer prices for Food & Beverages

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)

Food (overall index)

\(-\)0.17\(^{**}\)

\(-\)1.58\(^{***}\)

\(-\)1.42

0.14

(0.07)

(0.32)

(0.92)

Alcoholic beverages

0.01

\(-\)1.52\(^{***}\)

\(-\)1.38\(^{**}\)

0.14

(0.04)

(0.25)

(0.64)

Beer

-0.1

\(-\)3.19\(^{***}\)

-2.81\(^{***}\)

0.28

(0.09)

(0.52)

(0.76)

Bread and cereals

\(-\)0.01

\(-\)0.66\(^{***}\)

\(-\)0.16

0.02

(0.03)

(0.19)

(0.56)

Coffee, tea, and cocoa

0.38\(^{**}\)

\(-\)4.35\(^{***}\)

\(-\)2.45\(^{**}\)

0.24

(0.15)

(1.34)

(1)

Fish and seafood

0

\(-\)3.36\(^{***}\)

\(-\)3.28\(^{**}\)

0.33

(0.07)

(0.52)

(1.43)

Fruits

\(-\)0.79\(^{***}\)

\(-\)2.17

\(-\)3.93

0.39

(0.15)

(1.82)

(2.65)

Meat

\(-\)0.02

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

0.12

\(-\)0.01

(0.09)

(0.45)

(1.05)

Milk, cheese, and eggs

\(-\)0.08

\(-\)0.48

\(-\)1

0.1

(0.06)

(0.29)

(1.37)

Mineral waters, soft drinks, fruit and vegetable juices

0.11

\(-\)1.75\(^{***}\)

\(-\)2.8\(^{***}\)

0.28

(0.08)

(0.43)

(0.94)

Non-alcoholic beverages

0.17\(^{***}\)

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

\(-\)2.16\(^{***}\)

0.21

 

(0.07)

(0.51)

(0.82)

Oils and fats

\(-\)0.24\(^{***}\)

\(-\)0.48

\(-\)1.42

0.14

(0.06)

(0.63)

(2.29)

Processed food

\(-\)0.02

\(-\)1.1\(^{***}\)

\(-\)1.25\(^{*}\)

0.12

(0.04)

(0.24)

(0.66)

Seasonal food

\(-\)0.54\(^{**}\)

\(-\)3.46\(^{***}\)

\(-\)3.29\(^{*}\)

0.33

(0.22)

(0.97)

(1.9)

Spirits

\(-\)0.01

\(-\)1.57\(^{***}\)

\(-\)0.79

0.08

(0.05)

(0.31)

(0.86)

Sugar, jam, honey, chocolate, and confectionery

\(-\)0.06

0.07

\(-\)0.57

0.06

(0.07)

(0.42)

(1.23)

Vegetables

\(-\)0.06

\(-\)4.79\(^{***}\)

\(-\)2.16

0.21

(0.15)

(1.6)

(2.67)

 

Wine

\(-\)0.06

\(-\)1.21\(^{***}\)

\(-\)1.63\(^{**}\)

0.16

(0.37)

(0.38)

(0.7)

Other food products

\(-\)0.15\(^{***}\)

\(-\)2.1\(^{***}\)

\(-\)2.37\(^{**}\)

0.24

(0.06)

(0.37)

(1.1)

  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