Government Size

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Chien-chiang Lee - One of the best experts on this subject based on the ideXlab platform.

  • Government Size and economic growth in Taiwan: A threshold regression approach
    Journal of Policy Modeling, 2005
    Co-Authors: Sheng‐tung Chen, Chien-chiang Lee
    Abstract:

    Abstract The Armey curve developed by [Armey, R. (1995). The freedom revolution . Washington, DC: Rognery Publishing Co.] and [Vedder, R. K., & Gallaway, L. E. (1998). Government Size and economic growth. Joint Economic Committee ] demonstrates that there is a non-linear relationship between Government Size and economic growth. In order to search for the threshold effects, this paper employs [Hansen, B. E. (2000). Sample splitting and threshold estimation. Econometrica , 68 (3), 575–603] threshold regression model to test whether the Armey curve exists in Taiwan, allowing for endogenous Government Size thresholds. We apply the two-sector production function developed by [Ram, R. (1986). Government Size and economic growth: A new framework and some evidence from cross-section and time-series data. American Economic Review , 76 (1), 191–203] to construct the threshold regression model. Three classifications of Government Size are tested in sequence as threshold variables. The result indicates that all three classifications of Government Size have a threshold effect and that a non-linear relationship of the Armey curve exists in Taiwan.

Sheng‐tung Chen - One of the best experts on this subject based on the ideXlab platform.

  • Government Size and economic growth in Taiwan: A threshold regression approach
    Journal of Policy Modeling, 2005
    Co-Authors: Sheng‐tung Chen, Chien-chiang Lee
    Abstract:

    Abstract The Armey curve developed by [Armey, R. (1995). The freedom revolution . Washington, DC: Rognery Publishing Co.] and [Vedder, R. K., & Gallaway, L. E. (1998). Government Size and economic growth. Joint Economic Committee ] demonstrates that there is a non-linear relationship between Government Size and economic growth. In order to search for the threshold effects, this paper employs [Hansen, B. E. (2000). Sample splitting and threshold estimation. Econometrica , 68 (3), 575–603] threshold regression model to test whether the Armey curve exists in Taiwan, allowing for endogenous Government Size thresholds. We apply the two-sector production function developed by [Ram, R. (1986). Government Size and economic growth: A new framework and some evidence from cross-section and time-series data. American Economic Review , 76 (1), 191–203] to construct the threshold regression model. Three classifications of Government Size are tested in sequence as threshold variables. The result indicates that all three classifications of Government Size have a threshold effect and that a non-linear relationship of the Armey curve exists in Taiwan.

Eiji Yamamura - One of the best experts on this subject based on the ideXlab platform.

  • Effects of groups and Government Size on information disclosure
    2012
    Co-Authors: Eiji Yamamura
    Abstract:

    This paper uses data from Japan to ascertain the determinants of Government information disclosures by considering the role of special interest groups and Government Size. A IV-Tobit model is employed to control for endogeneity bias of Government Size. The major findings are as follows: (1) special interest groups have a detrimental effect on information disclosure; (2) special interest groups and an aging population increase Government Size; and (3) information disclosure ordinances are more likely to be enacted with a large Government Size.

  • Government Size and trust
    Review of Social Economy, 2011
    Co-Authors: Eiji Yamamura
    Abstract:

    Abstract This paper uses individual level data from the Japanese General Social Survey to examine how Government Size influences generalized trust. After controlling for the endogeneity of Government Size using instrumental variables, I found: (1) using all samples, Government Size is not associated with generalized trust, and (2) after splitting the sample into workers and non-workers, Government Size does not influence generalized trust for non-workers, whereas it significantly reduces generalized trust for workers. This suggests that workers, through their work experience, might have to face greater bureaucratic red tape coming from “larger Government,” leading to negative externality effects on relationships of trust in the labor market.

  • The influence of Government Size on economic growth and life satisfaction. A case study from Japan
    Japanese Economy, 2011
    Co-Authors: Eiji Yamamura
    Abstract:

    This paper uses Japanese prefecture-level data for the years 1979 and 1996 to examine how the relationship between Government Size and life satisfaction changes. The major findings are: (1) Government Size has a detrimental effect on life satisfaction when Government Size impedes economic growth in the economic developing stage. However, this effect clearly decreases when Government Size is not associated with economic growth in the developed stage. (2) Particularized trust is positively associated with life satisfaction of females but not with that of males. Such a tendency becomes more remarkable in the developed stage. These results are unchanged when the endogeneity bias caused by local Government Size and proxies of trust are controlled for.

  • Decomposition of the effect of Government Size on growth
    2010
    Co-Authors: Eiji Yamamura
    Abstract:

    Empirical results through a fixed effects regression model show that Government Size has a negative effect on growth mainly through hampering capital accumulation. When a sample is divided into OECD and non-OECD countries, the negative effect of Government Size on capital accumulation persists for non-OECD countries but not for OECD countries.

  • Government Size and trust
    2010
    Co-Authors: Eiji Yamamura
    Abstract:

    This paper uses individual level data (the Japanese General Social Survey, 2001) to examine how Government Size influences generalized trust. After controlling for income inequality, population mobility, city Size and various individual characteristics, I found: (1) Using all samples, Government Size is not associated with generalized trust, and (2) After splitting the sample into worker and non-worker samples, Government Size does not influence generalized trust for non-workers whereas it significantly reduces generalized trust for workers. This suggests that workers, through their work experience, might confront the greater bureaucratic red tape coming from “larger Government”, leading to negative externality effects on the trustful relationship in the labor market.

Rati Ram - One of the best experts on this subject based on the ideXlab platform.

  • openness country Size and Government Size additional evidence from a large cross country panel
    Journal of Public Economics, 2009
    Co-Authors: Rati Ram
    Abstract:

    Abstract A body of influential research has suggested that there is a negative association between country Size and Government Size and between country Size and openness, and these may account for the positive association between openness and Government Size. Estimation of several models from 41-year panel data for over 150 countries indicates that while pooled OLS estimates support the foregoing scenario, when cross-country heterogeneity is taken into consideration through the fixed-effects format, there is little evidence of a negative association of country Size with either Government Size or openness. Therefore, it does not seem likely that positive association between openness and Government Size arises due to the mediating role of country Size.

Antonio Fatás - One of the best experts on this subject based on the ideXlab platform.

  • The Stabilizing Role of Government Size
    SSRN Electronic Journal, 2007
    Co-Authors: Javier Andrés, Rafael Doménech, Antonio Fatás
    Abstract:

    This paper presents an analysis of how alternative models of the business cycle can replicate the stylized fact that large Governments are associated with less volatile economies. Our analysis shows that adding nominal rigidities and costs of capital adjustment to an otherwise standard RBC model can generate a negative correlation between Government Size and the volatility of output. However, in the model, we find that the stabilizing effect is only due to a composition effect and it is not present when we look at the volatility of private output. Given that empirically we also observe a negative correlation between Government Size and the volatility of consumption, we modify the model by introducing rule-of-thumb consumers. In this modified version of our initial model we observe that consumption volatility is also reduced when Government Size increases in similar way to the observed pattern in OECD economies over the last 45 years.

  • Government Size and automatic stabilizers international and intranational evidence
    Journal of International Economics, 2001
    Co-Authors: Antonio Fatás, Ilian Mihov
    Abstract:

    This paper studies the role of automatic stabilizers using a sample of OECD countries and US states. We find that there is a strong and robust negative correlation between measures of Government Size and the volatility of output. This correlation is robust to the inclusion of a large set of controls as well as to alternative methods of detrending and estimation. The economic significance of this relationship is larger for the US states.

  • Government Size and automatic stabilizers international and intranational evidence
    Journal of International Economics, 2001
    Co-Authors: Antonio Fatás, Ilian Mihov
    Abstract:

    Abstract This paper documents a strong negative correlation between Government Size and output volatility both for the OECD countries and across US states. This correlation is robust to the inclusion of a large set of controls as well as to alternative methods of detrending and estimation. In the international sample, a one percentage point increase in Government spending relative to GDP reduces output volatility by eight basis points. Whereas in the US states the reduction in volatility is significantly larger ranging from 13 to 40 basis points.