Food Prices and Overweight Patterns in Italy



p

Xt = μ0 + μiT + φhDth + ^ AiXt-i + εt               (3)

i=1

where X1t = (w1t,, w2t, ...wn,t) is the n * 1 vector of budget shares and X2t =
(p1t,p2t, ...pnt,yt) is the n + 1 * 1 vector containing price indices and real expen-
diture.
μ0 is a n * 1 constant term, μ1 is a n * 1 vector of coefficients related to
the deterministic trend
T, Dth is a vector containing deterministic variables (in our
application centred seasonal dummies) and
φh the corresponding n * h matrix of
parameters.
Ai is a matrix of unknown parameters for the lags of Xt , εt is a Gaus-
sian white noise process with covariance matrix Ω and
p the lag order of the VAR.
Equation (3) may be re-written in a VECM form as:

p-1

δx. = μo + πXt*-1 + ^ l'^X/-i + εt                  (4)

i=1

where Π = (P=1 Ai Ip), Γi = p=i+1 Aj,with j = 1, ....p 1. The matrix of
parameters Π describes the long-run relationships of the VECM among the variables
in vector
Xt*-1 = [Xt-1; Dt; T]. Γi, with i = 1,...k 1, is a vector of parameters which
refers to the short-run dynamics of the system ∆
Xt-i . In known general conditions,
VECM equation (4) is formulated as:

          p-1

δχ = μo + αβ * Xt*-ι + ^ I'^Xt-i + εt                (5)

i=1

where α is a n * r matrix, β* = (n + Υ) * r matrix and r(0 < r < Q = 2n) is the
cointegration rank of the demand system. Υ is the matrix containing deterministic
and seasonal components.

The hypothesis of stochastic trends in budget shares predicts a convergence (in
the long-run) towards steady state, and these values are proxied by their intercepts
(Pesaran and Shin, 2002).

Pesaran and Shin (2002) also show that, to recover exactly the long-run struc-
tural parameters of model (5),
r restrictions on cointegrating relationships must be
imposed on each non-singular demand equation, expressed in budget shares. In this
context, the adding-up theoretical constraint executes a crucial role in identifying
the structural model, implying a further implicit restriction of the rank of cointegra-
tion of the VAR model, i.e.,
r = n 1. Formally, disregarding deterministic terms,
the matrix of cointegration vectors for the demand system is specified as:

12



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