Skip to main content

Table 3 Posterior Distributions of Non-Structural Parameters

From: The limits of internal devaluation: Switzerland during the great depression

Parameter

Prior Dist.

Median

s.d.

90\(\%\) Bands

NSE

\(a_{11}\)

Stationary

0.91811

0.10430

[ 0.74537 , 1.08219 ]

0.00586

\(a_{21}\)

Stationary

-0.77384

0.14996

[ −1.03986 , −0.54967 ]

0.01050

\(a_{31}\)

Stationary

−0.01105

0.00340

[ −0.01695 , −0.00582 ]

0.00015

\(a_{12}\)

Stationary

0.25689

0.07748

[ 0.12600 , 0.37911 ]

0.00337

\(a_{22}\)

Stationary

−0.01734

0.11253

[ −0.20049 , 0.17242 ]

0.00430

\(a_{32}\)

Stationary

0.00086

0.00277

[ −0.00356 , 0.00551 ]

0.00011

\(a_{13}\)

Stationary

−0.00016

0.08020

[ −0.06849 , 0.01915 ]

0.00494

\(a_{23}\)

Stationary

0.00133

0.30604

[ −0.08974 , 0.35201 ]

0.02172

\(a_{33}\)

Stationary

0.00001

0.00437

[ −0.00117 , 0.00440 ]

0.00029

\(\sqrt{\text{ VAR }(\kappa _y)}\)

Positive definite

0.00254

0.00335

[ 0.00202 , 0.00313 ]

0.00018

\(\text{ COV }(\kappa _y,\kappa _{nx})\)

Positive definite

−0.00142

0.00032

[ −0.00195 , −0.00088 ]

0.00001

\(\text{ COV }(\kappa _y,\kappa _{\pi })\)

Positive definite

−0.00002

0.00001

[ −0.00004 , 0.00000 ]

0.00000

\(\sqrt{\text{ VAR }(\kappa _{nx})}\)

Positive definite

0.00443

0.00414

[ 0.00363 , 0.00545 ]

0.00011

\(\text{ COV }(\kappa _{nx},\kappa _{\pi })\)

Positive definite

0.00000

0.00002

[ −0.00003 , 0.00003 ]

0.00000

\(\sqrt{\text{ VAR }(\kappa _\pi )}\)

Positive definite

0.00000

0.00020

[ 0.00000 , 0.00000 ]

0.00003

  1. The VAR matrix is restricted to have a maximum absolute eigenvalue of 0.6. The variance–covariance matrix of the measurement error is restricted to be positive definite and its entries on the main diagonal are only allowed to take on values not larger than 60 percent of the variance of the corresponding data series. Results are based on 400,000 draws, where the first 150,000 are discarded as burn-in draws