On estimating long-run effects in models with lagged dependent variables

C-Tier
Journal: Economic Modeling
Year: 2017
Volume: 64
Issue: C
Pages: 302-311

Authors (2)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

A common procedure in economics is to estimate long-run effects from models with lagged dependent variables. For example, macro panel studies frequently are concerned with estimating the long-run impacts of fiscal policy, international aid, or foreign investment.

Technical Details

RePEc Handle
repec:eee:ecmode:v:64:y:2017:i:c:p:302-311
Journal Field
General
Author Count
2
Added to Database
2026-01-29