PANEL GMM ANALYSIS OF THE IMPACT OF FACTORS ON FISCAL DEFICIT IN CENTRAL ASIA AND THE CAUCASUS COUNTRIES

Authors

  • Zokirjonov Muhammadsodiq Ravshanbek ugli

DOI:

https://doi.org/10.5281/zenodo.21177637

Abstract

The article investigates the dynamic interplay between public debt, fiscal deficits, and institutional quality
across eight Central Asian and Caucasus economies (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, Armenia,
Azerbaijan, and Georgia) over the period 2000-2024. Motivated by persistent endogeneity concerns in the debt-growth literature
– including reverse causality, omitted variable bias, and the dynamic panel bias identified by Nickell – the study employs a twostep
System Generalized Method of Moments (GMM) estimator with the Windmeijer finite-sample correction. The empirical
specification models fiscal deficit dynamics as a function of lagged fiscal balances, public debt-to-GDP, institutional quality
(drawn from the Worldwide Governance Indicators), and a battery of macroeconomic controls. Baseline results indicate that the
lagged fiscal deficit coefficient is statistically insignificant and unstable across specifications, while the public debt coefficient is
positive but imprecisely estimated. Subperiod analysis reveals temporal instability in the debt-deficit relationship, shifting from
negative (pre-2008) to positive (post-2008). Diagnostic tests reveal a persistent overidentification problem (Hansen J p-value of
1.000 in all specifications) attributable to the unusually small cross-sectional dimension (N = 8) relative to the time dimension
(T = 25) – a panel structure for which System GMM is not optimally suited. The paper concludes that institutional reforms are
likely complements to, rather than substitutes for, numerical fiscal rules, while cautioning that the present findings should be
treated as suggestive pending validation on a larger country sample or an estimator better matched to this panel’s dimensions.

Keywords

public debt; fiscal deficit; institutional quality; System GMM; Central Asia; Caucasus economies JEL Classification: C23, H62, H63, O43

Author Biography

Zokirjonov Muhammadsodiq Ravshanbek ugli

Doctoral Student (DSc),
The Academy of Public Policy and Administration
under the President of the Republic of Uzbekistan


References

Krugman, P. (1988). Financing vs. forgiving a debt overhang. Journal of Development Economics, 29(3), 253-268.

Reinhart, C. M., & Rogoff, K. S. (2010). Growth in a time of debt. American Economic Review, 100(2), 573-578.

Panizza, U., & Presbitero, A. F. (2014). Public debt and economic growth: Is there a causal effect? Journal of Development

Economics, 108, 270-284.

Acemoglu, D., Johnson, S., & Robinson, J. A. (2001). The colonial origins of comparative development: An empirical

investigation. American Economic Review, 91(5), 1369-1401.

Fatás, A., & Mihov, I. (2003). The case for restricting fiscal policy discretion. The Quarterly Journal of Economics, 118(4),

-1447.

Alesina, A., Campante, F. R., & Tabellini, G. (2008). Why is fiscal policy often procyclical? Journal of the European Economic

Association, 6(5), 1006-1036.

Eberhardt, M., & Presbitero, A. F. (2015). Public debt and growth: Heterogeneity and non-linearity. Journal of International

Economics, 97(1), 45-58.

Chudik, A., Mohaddes, K., Pesaran, M. H., & Raissi, M. (2017). Is there a debt-threshold effect on output growth? The

Review of Economics and Statistics, 99(1), 135-150.

Kourtellos, A., Stengos, T., & Tan, C. M. (2013). Structural thresholds and development traps: Is public debt detrimental to

growth? Journal of Macroeconomics, 38, 167-181.

Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417-1426.

Aslan, A., & Altinoz, B. (2021). The debt-growth nexus in the framework of the governance quality: Evidence from

developing countries. Applied Economics, 53(15), 1735-1749.

Efobi, U. (2015). Politicians’ attributes and institutional quality in Africa: A focus on corruption. World Development,

, 222-236.

Bhanumurthy, N. R., Kumawat, L., & Kapoor, A. (2022). Public debt, fiscal sustainability, and economic growth in

emerging market economies. Applied Economics, 54(12), 1380-1396.

Combes, J. L., Minea, A., & Sow, M. (2018). Is fiscal policy always pro-cyclical in developing countries? Applied Economics,

(26), 2843-2863.

Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models.

Journal of Econometrics, 68(1), 29-51.

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of

Econometrics, 87(1), 115-143.

Gootjes, B., & de Haan, J. (2022). Do fiscal rules constrain fiscal policy pro-cyclicality? Journal of International Money

and Finance, 123, 102604.

Asatryan, Z., De Witte, K., & Havlik, P. (2018). Institutional quality and the fiscal performance of local governments.

World Development, 111, 211-227.

Aizenman, J., Kletzer, K., & Pinto, B. (2007). Economic growth with constraints on tax revenues and public debt. Journal

of Development Economics, 84(1), 440-457.

Alesina, A., & Tabellini, G. (1990). A positive theory of fiscal deficits and government debt. The Review of Economic

Studies, 57(3), 403-414.

Woo, J. (2003). Economic, political, and institutional determinants of public deficits. Journal of Public Economics, 87(3-

, 387-426.

Celasun, O., Debrun, X., & Ostry, J. D. (2006). Primary surplus behavior and risks to fiscal sustainability in emerging

market countries. IMF Staff Papers, 53(3), 401-425.

Aghion, P., Hemous, D., & Kharroubi, E. (2014). Cyclical fiscal policy, liquidity constraints, and economic growth. Journal

of Monetary Economics, 65, 33-51.

Gründler, K., & Potrafke, N. (2019). Corruption and economic growth: New empirical evidence. European Journal of

Political Economy, 60, 101810.

Alesina, A., Hausmann, R., Hommes, R., & Stein, E. (1999). Budget institutions and fiscal performance in Latin America.

Journal of Development Economics, 59(2), 253-273.

Alt, J. E., & Lassen, D. D. (2006). Fiscal transparency, political parties, and debt in OECD countries. European Economic

Review, 50(6), 1403-1439.

Calderón, C., Duncan, R., & Schmidt-Hebbel, K. (2016). Do fiscal rules foster fiscal discipline? New international evidence.

Journal of International Money and Finance, 65, 110-130.

Badinger, H., & Reuter, W. H. (2017). The case for numerical fiscal rules. Constitutional Political Economy, 28(3), 255-

Heinemann, F., Osterloh, S., & Kalb, A. (2014). Sovereign risk premia and fiscal rules. Journal of International Money and

Finance, 48, 138-153.

Duarte, L., & de Mello, L. (2023). Fiscal rules, institutional frameworks, and sovereign debt dynamics: Global evidence.

World Development, 162, 106120.

Saadaoui, Z., & Boukhatem, J. (2024). Public debt, institutional quality, and economic growth in developing panels: A

dynamic threshold approach. Energy Economics, 129, 107212.

Vegh, C. A., & Vuletin, G. (2015). How is government spending modulated over the business cycle? Journal of International

Money and Finance, 52, 115-133.

Canh, N. P., Binh, M. T., & Thanh, S. D. (2021). Fiscal policy, institutional quality, and economic performance: A global

dynamic panel assessment. Applied Economics, 53(38), 4421-4440.

Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to

employment equations. Review of Economic Studies, 58(2), 277-297.

Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9(1),

-136.

Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal

of Econometrics, 126(1), 25-51.

Stock, J. H., Wright, J. H., & Yogo, M. (2002). A survey of weak instruments and weak identification in generalized method

of moments. Journal of Business & Economic Statistics, 20(4), 518-529.

Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal

of the American Statistical Association, 94(446), 621-634. [NEW – supports the methodological caveat added in Section 3.6]

Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure.

Econometrica, 74(4), 967-1012. [NEW – supports the methodological caveat added in Section 3.6]

Kaufmann, D., Kraay, A., & Mastruzzi, M. (2010). The Worldwide Governance Indicators: Methodology and analytical

issues (World Bank Policy Research Working Paper No. 5430). World Bank.

Feenstra, R. C., Inklaar, R., & Timmer, M. P. (2015). The next generation of the Penn World Table. American Economic

Review, 105(10), 3150-3182.

Pomfret, R. (2019). The Central Asian economies in the twenty-first century: Paving a new Silk Road. Princeton

University Press. [NEW – supports the Central Asia/Caucasus subregional discussion added in Section 4.2]

Kennedy, P. (2008). A guide to econometrics (6th ed.). Blackwell Publishing.

Kpodar, K., & Imam, P. (2016). Does financial inclusion enhance fiscal discipline in developing countries? World

Development, 81, 143-158.

Asatryan, Z., Havlik, P., & Heinemann, F. (2021). The political economy of structural fiscal indicators. Journal of

Development Economics, 149, 102599.

Bond, S. (2002). Dynamic panel data models: A guide to micro data methods and practice. Portuguese Economic Journal,

(2), 141-162.

Minea, A., & Villieu, P. (2025). Non-linear dynamics in the debt-growth nexus: Re-estimating GMM profiles with

interactive effects. Journal of Macroeconomics, 83, 103601.

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Published

2026-06-01

How to Cite

Zokirjonov, M. (2026). PANEL GMM ANALYSIS OF THE IMPACT OF FACTORS ON FISCAL DEFICIT IN CENTRAL ASIA AND THE CAUCASUS COUNTRIES. Innovation Science and Technology, 2(6), 421–432. https://doi.org/10.5281/zenodo.21177637
Vol. 2 No. 6 (2026): Innovation Science and Technology