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RW I:Discussion Papers - Rheinisch-Westfälisches Institut für ...

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there is measurement error, the observed wage change differs from the actual wage change<br />

by ũ i . If an observation comes from the constrained regime, it must satisfy the condition<br />

∆wi o − ũ i = 0. The likelihood contribution of a constrained observation conditional on it<br />

being affected by measurement error therefore follows from the assumed distribution of<br />

the composite error term. In the case of one measurement error, it is given by<br />

P (∆wi o ∈ C|i ∈ N1) = P (ũ i =∆wi o |i ∈ N1) = 1 ( ) ∆w<br />

o<br />

· φ i<br />

σ m σ m<br />

(15)<br />

Likewise, the likelihood contribution of a constrained observation affected by two errors,<br />

can be written as<br />

P (∆wi o ∈ C|i ∈ N2) = P (ũ i =∆wi o |i ∈ N2) = √ 1 ( ) ∆w<br />

o<br />

· φ i √2σm . (16)<br />

2σm<br />

The unconstrained regimes with measurement error require that ∆w o i<br />

= X i α + ε i +ũ i<br />

conditional on X i α + ε i > 0. Since the two conditions are interdependent via ε i the<br />

likelihood contributions of the regimes are more difficult to derive. The calculation starts<br />

from the joint density of ε i and ũ i ,whichis<br />

( [ (<br />

1<br />

f(ε i , ũ i )= exp − 1 ) 2 ( ) ]) 2 εi ũi<br />

+<br />

, (17)<br />

2πσ w σ m 2 σ w σ m<br />

in the case of one measurement error, given the independency assumption of made on the<br />

two variables. The likelihood of an unconstrained observation conditional on being in the<br />

nominal regime with one error, follows from<br />

P (∆w o i ∈ U|i ∈ N1) = P (ũ i =∆w o i − X iα − ε i |ε i > −X i α, i ∈ N1)<br />

= ∫ ∞<br />

−X iα f(ε i, ∆w o i − X iα − ε i )dε i ,<br />

(18)<br />

which can be solved to yield<br />

( )<br />

∆wi φ<br />

o−Xiα<br />

⎡ ⎛<br />

√<br />

P (∆wi o σ 2 w +σm<br />

∈ U|i ∈ N1) = √ 2 ⎣1 − Φ ⎝ −X iα −<br />

σ 2 w + σm<br />

2<br />

σ2 w<br />

σw 2 +σ2 m<br />

√<br />

σ 2 w σm<br />

2<br />

σw+σ 2 m<br />

2<br />

⎞⎤<br />

(∆wi o − X iα)<br />

⎠⎦ . (19)<br />

To get the likelihood contribution of unconstrained observations in the nominal rigidity<br />

regime for the two error case, P (∆wi<br />

o ∈ U|i ∈ N2), replace σ m with the appropriate<br />

standard deviation of the distribution of the measurement error term, i.e. √ 2σ m .<br />

For observations falling under the real rigidity regime, there are again six possible<br />

regimes.<br />

The likelihood contribution of each regime resembles that of the counterpart<br />

27

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