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Identification when data are nonstationary 1) just identifying restrictions on the short-run parameters (equati 1) just identifying restrictions on the long-run parameters (relatio

Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

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Page 1: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

Identification when data are nonstationary

• p(p-1) just identifying restrictions on the short-run parameters (equations)• r(r-1) just identifying restrictions on the long-run parameters (relations)

Page 2: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

Three different aspects

Page 3: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

Identifying restrictions

Generic identification:1.

2.

Page 4: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

Just-, over-, and under-identification

Correct:

Incorrect:

Page 5: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

Imposing restrictions on all cointegrating relations

Page 6: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

The switching algorithm

Page 7: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions
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Page 9: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

Normalization:

Page 10: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions
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Interpretation as the long-run reduced formExogeneity assumptions and the Phillips triangular form model

Example:

Page 16: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions

Just identitified cointegration relations

Page 17: Identification when data are nonstationary p(p-1) just identifying restrictions on the short-run parameters (equations) r(r-1) just identifying restrictions
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