Comparing Dynamic Specifications: The Case of Presidential Approval

Abstract

This article compares a variety of models of presidential approval in terms of their dynamic properties and their theoretical underpinnings. Exponential distributed lags, partial adjustment, error correction, and transfer function models are considered. The major difference between the models lies in interpretation rather than statistical properties. The error correction model seems most satisfactory. Approval models based on individual level theories are examined, and found to give no additional purchase.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 198 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.