On the Properties of Various Estimators for Fiscal Reaction Functions

Author/creator Celasun, Oya Author
Other author Kang, Joong Shik Author
Format Electronic
Publication InfoWashington : International Monetary Fund
Description20 p.
Supplemental ContentFull text available from Ebook Central - Academic Complete

Summary Annotation This paper evaluates the bias of the least-squares-with-dummy-variables (LSDV) method in fiscal reaction function estimations. a growing number of studies estimate fiscal policy reaction functions-that is, relationships between the primary fiscal balance and its determinants, including public debt and the output gap. a previously unexplored methodological issue in these estimations is that lagged debt is not a strictly exogenous variable, which biases the LSDV estimator in short panels. We derive the bias analytically to understand its determinants and run Monte Carlo simulations to assess its likely size in empirical work. We find the bias to be smaller than the bias of the LSDV estimator in a comparable autoregressive dynamic panel model and show the LSDV method to outperform a number of alternatives in estimating fiscal reaction functions.
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Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9781451989007
ISBN1451989008 (E-Book) Active Record
Stock number00013468

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