Microeconomic theoretical framework and empirical testing using cross-sectional
Keywords:
Government, System, Political, Economic development, ImprovementAbstract
This study suggests establishing a theoretical framework to explain the impact of institutional quality on public sector size across a panel of countries at varying levels of economic development. The study also suggests that the influence of institutional quality on public sector size may be investigated at a regional level. Persson and Tabellini's (1999) theoretical model of political competition was discussed earlier in the study, and it was also suggested that future research might extend the model to incorporate the influences of executive constraints on the ruling elite in both Presidential and Parliamentary forms of government. The study also finds limited evidence of a negative relationship existing between political competition and the size of the public sector. Regarding other existing theories of the determinants of the public sector size, the study finds international trade has a positive impact on public sector size whereas only estimation results from four-year moving averages data showed a positive relationship existing between country's per capita income and public sector size. The study strongly recommends that future work on the analysis of institutional quality and its impact on public sector size be carried out based on both a microeconomic theoretical framework and empirical testing using cross-sectional or time-series data.
Downloads
References
Adland, R., & Koekebakker, S. (2007). Ship valuation using cross-sectional sales data: A multivariate non-parametric approach. Maritime Economics & Logistics, 9(2), 105-118.
Berk, J. B. (1995). A critique of size-related anomalies. The Review of Financial Studies, 8(2), 275-286.
Bertola, G. (1999). Microeconomic perspectives on aggregate labor markets. Handbook of labor economics, 3, 2985-3028.
Blinder, A. S., Gordon, R. H., & Wise, D. E. (1983). Social Security, bequests and the life cycle theory of saving: cross-sectional tests. In The determinants of national saving and wealth (pp. 89-122). Palgrave Macmillan, London.
Blundell, R., & Dias, M. C. (2009). Alternative approaches to evaluation in empirical microeconomics. Journal of Human Resources, 44(3), 565-640.
Brucker, E. (1970). A microeconomic approach to banking competition. The Journal of Finance, 25(5), 1133-1141.
Coleman, A. (1998). Household Savings: A Survey of Recent Microeconomic Theory and Evidence (No. 98/08). New Zealand Treasury Working Paper.
Cronin, J. J., Brady, M. K., Brand, R. R., Hightower, R., & Shemwell, D. J. (1997). A cross sectional test of the effect and conceptualization of service value. Journal of services Marketing.
Crucini, M. J., & Telmer, C. I. (2012). Microeconomic sources of real exchange rate variability (No. w17978). National Bureau of Economic Research.
Davis, S. J., & Haltiwanger, J. (1990). Gross job creation and destruction: Microeconomic evidence and macroeconomic implications. NBER macroeconomics annual, 5, 123-168.
Fleischhauer, K. J. (2007). A review of human capital theory: Microeconomics. University of St. Gallen, Department of Economics Discussion Paper, (2007-01).
Haltiwanger, J. (2000). Aggregate growth: what have we learned from microeconomic evidence?.
Haltiwanger, J. C. (1997). Measuring and analyzing aggregate fluctuations: the importance of building from microeconomic evidence. Federal Reserve Bank of St. Louis Review, 79(3), 55.
Higgins, J. (1986). Input demand and output supply on Irish farms—A micro-economic approach. European Review of Agricultural Economics, 13(4), 477-493.
Kalyanaram, G., & Winer, R. S. (1995). Empirical generalizations from reference price research. Marketing science, 14(3_supplement), G161-G169.
Kaplan, G., & Violante, G. L. (2018). Microeconomic heterogeneity and macroeconomic shocks. Journal of Economic Perspectives, 32(3), 167-94.
Kavussanos, M. G., & Marcoulis, S. N. (1997). The stock market perception of industry risk and microeconomic factors: The case of the US water transportation industry versus other transport industries. Transportation Research Part E: Logistics and Transportation Review, 33(2), 147-158.
Kruse, D. L. (1992). Profit sharing and productivity: Microeconomic evidence from the United States. The Economic Journal, 102(410), 24-36.
Lamont, O. A. (2002). Macroeconomic forecasts and microeconomic forecasters. Journal of economic behavior & organization, 48(3), 265-280.
McCarthy, J., & Zakrajsek, E. (2000). Microeconomic inventory adjustment: evidence from US firm-level data. FRB of New York Staff Report, (101).
Miller, R. A. (1997). Estimating models of dynamic optimization with microeconomic data. Handbook of Applied Econometrics, 2, 246-299. Nucci, F., Pozzolo, A., & Schivardi, F. (2005). Is firm’s productivity related to its financial structure? Evidence from microeconomic data. Rivista di politica economica, 95(1), 269-290.
Nurmilaakso, J. M. (2009). ICT solutions and labor productivity: evidence from firm-level data. Electronic Commerce Research, 9(3), 173-181.
Pattanayak, S. K., & Sills, E. O. (2001). Do tropical forests provide natural insurance? The microeconomics of non-timber forest product collection in the Brazilian Amazon. Land economics, 77(4), 595-612.
Petrick, M. (2004). Farm investment, credit rationing, and governmentally promoted credit access in Poland: a cross-sectional analysis. Food policy, 29(3), 275-294.
Smale, M., Heisey, P. W., & Leathers, H. D. (1995). Maize of the ancestors and modern varieties: The microeconomics of high-yielding variety adoption in Malawi. Economic Development and Cultural Change, 43(2), 351-368.
Ikonomou, C. (2011). A microeconomic assessment of Greece’s core-periphery imbalances (1994-2002) confirming Krugman’s initial new economic geography model. European Journal of Geography, 2(2), 62-78.
Williams, B. (1998). Factors affecting the performance of foreign-owned banks in Australia: A crosssectional study. Journal of Banking & Finance, 22(2), 197-219.
Eble, S., & Koeva, P. (2002). What determines individual preferences over reform? Microeconomic evidence from Russia. IMF Staff Papers, 49(1), 87-110.
Bardhan, P., & Udry, C. (1999). Development microeconomics. OUP Oxford.
Kanavos, P., & Mossialos, E. (1999). International comparisons of health care expenditures: what we know and what we do not know. Journal of health services research & policy, 4(2), 122-126.
Parkin, D., McGuire, A., & Yule, B. (1987). Aggregate health care expenditures and national income: is health care a luxury good?. Journal of health economics, 6(2), 109-127.
Blundell, R., & Dias, M. C. (2002). Alternative approaches to evaluation in empirical microeconomics. Portuguese economic journal, 1(2), 91-115.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Tennessee Research International of Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the Tennessee Research International of Social Sciences (TRISS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant TRISS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in TRISS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.