This study is concerned with the reasons why different countries have grown at different rates over the past 25 years. The primary focus is on the role of government and the role of special interest groups as emphasized by Olson (1982). The paper is organized as follows. Part 1 sets out the basic ap
Government and economic growth: A non-linear relationship
β Scribed by Philip J. Grossman
- Publisher
- Springer US
- Year
- 1988
- Tongue
- English
- Weight
- 431 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0048-5829
No coin nor oath required. For personal study only.
β¦ Synopsis
Recently, various authors have examined the relationship between growth in government size and total economic growth. In each case, the authors permitted only a monotonic relationship. This paper examines the issue of a non-linear relationship between growth in government and overall growth in the economy.
Government contributes to total economic output in various ways. The provision of Pigovian public goods enhances the productivity of the private sector inputs increasing total output. However, the public decision-making process can result in an inefficient quantity of public goods. The likelihood of this outcome increases with the size of government. Further negative effects are created by the revenue raising and spending mechanisms of government, and the increasing diversion of resources into 'unproductive' rent-seeking activities. The magnitude of these effects is likely to increase with the relative size of government.
A simultaneous equations model that incorporates these different influences is developed and tested using time-series data for the United States. The estimates indicate that the non-linear model is the better for explaining the growth of total economic output.
π SIMILAR VOLUMES
We test whether the relationship between changes in the nominal exchange rate and changes in its underlying fundamentals has non-linear features. In order to do so, we extend the Markov-switching model as proposed by McConnell and Perez Quiros (2000) and Dewachter ( 2001) and test it using a sample