Hong Kong Fiscal Rule Simulations with Bayesian DSGE Model, 2000-2023

Quarterly data from 2000 Q1 to 2023 Q4 is used in a Bayesian-estimated DSGE model to compare three fiscal rules for Hong Kong's land finance system. The dataset, authored by Wenwen Zhang, contains posterior distributions of model parameters from the simulation. Results indicate the debt-responsive rule provides optimal outcomes for stabilizing consumption, investment, and labor markets.

Use Cases

• Compare macroeconomic outcomes of different fiscal rules based on the described DSGE model parameters.
• Analyze the impact of stamp duty shocks on net exports and government debt based on the variance decomposition results.
• Assess welfare implications of fiscal policy choices based on the described welfare comparison results.
• Study the relationship between property prices and government debt under different fiscal regimes as described in the analysis.

Strengths

• Covers a 24-year time series from 2000 Q1 to 2023 Q4.
• Model parameters are derived from Bayesian estimation, a standard econometric method.
• Results are specific to Hong Kong's land finance pattern, a defined economic context.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• The dataset is very small at 9.5 KB, suggesting limited scope or highly summarized outputs.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, authored by Wenwen Zhang.

Collection Method

Parameters derived from Bayesian estimation and simulation of a DSGE model.

Time Range

2000 Q1 to 2023 Q4

Freshness

Last updated 2026-04-15 17:41:24; freshness should be verified.

Geography

Hong Kong