WAGNER'S LAW: A POOLED TIME-SERIES, CROSS-SECTION COMPARISON

1985 ◽  
Vol 38 (2) ◽  
pp. 209-218 ◽  
Author(s):  
SOHRAB ABIZADEH ◽  
JOHN GRAY
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Wagner’S Law ◽  
Wagner's Law ◽  
Pooled Time Series

scholarly journals Determinantes políticos do déficit fiscal nos estados brasileiros (1987-1997)

2010 ◽  
Vol 18 (35) ◽  
pp. 131-149 ◽  
Author(s):  
Cristiane Batista ◽  
Ximena Simpson
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Standard Error ◽  
De Se ◽  
Pooled Time Series ◽  
Section Analysis

O objetivo do trabalho é analisar os determinantes do balanço fiscal nos estados brasileiros em um período de grande instabilidade da economia do país: as décadas de 1980 e 1990. O argumento principal do trabalho postula que, mesmo em um contexto de ajuste fiscal, fatores ligados à inclinação ideológica do chefe do poder Executivo estadual, à capacidade decisória do poder Legislativo nesse nível de governo, bem como a relação entre estados e governo federal são parâmetros fundamentais para o entendimento da situação fiscal da federação brasileira. A metodologia empregada para verificar o modelo teórico corresponde à análise econométrica de painel, também conhecida como séries agregadas (em inglês: pooled time series - cross section analysis), que nos permite considerar concomitantemente a dimensão espaço (estados) e a dimensão tempo (ano). Na estimação dos parâmetros do modelo, seguimos o método "panel corrected standard error" (OLS com erro padrão corrigido), sugerido por Beck e Katz para análises de painel de dimensões similares às do presente trabalho. Nossos resultados corroboram a previsão da importância de se considerar as subunidades da federação. As análises que buscam explicar o desempenho da administração macroeconômica nacional não podem deixar de levar em conta a relevância das instituições subnacionais e seu impacto na estrutura de incentivos dos atores envolvidos nos processos decisórios.

Pooled Time-Series Cross-Section Estimation

Econometrica ◽  
1977 ◽  
Vol 45 (6) ◽  
pp. 1535 ◽  
Author(s):  
Arthur Havenner ◽  
Ronald Herman
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Pooled Time Series

scholarly journals The validity of Wagner’s law in Egypt from 1960–2018

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noha Hesham Ghazy ◽  
Hebatallah Ghoneim ◽  
Dimitrios Paparas
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Government Expenditure ◽  
Empirical Literature ◽  
Content Type ◽  
Wagner’S Law ◽  
Series Analysis ◽  
Wagner's Law ◽  
German Economist ◽  
The Relationship

Purpose One of the main theories regarding the relationship between government expenditure and gross domestic product (GDP) is Wagner’s law. This law was developed in the late-19th century by Adolph Wagner (1835–1917), a prominent German economist, and depicts that an increase in government expenditure is a feature often associated with progressive states. This paper aims to examine the validity of Wagner’s law in Egypt for 1960–2018. The relationship between real government expenditure and real GDP is tested using three versions of Wagner’s law. Design/methodology/approach To test the validity of Wagner in Egypt, law time-series analysis is used. The methodology used in this paper is: unit-root tests for stationarity, Johansen cointegration approach, error-correction model and Granger causality. Findings The results provide strong evidence of long-term relationship between GDP and government expenditure. Moreover, the causal relationship is found to be bi-directional. Hence, this study provides support for Wagner’s law in the examined context. Research limitations/implications It should be noted, however, that there are some limitations to this study. For instance, in this paper, the government’s size was measured through government consumption expenditure rather than government expenditure due to data availability, which does not fully capture the government size. Moreover, the data available was limited and does not fully cover the earliest stages of industrialization and urbanization for Egypt. Furthermore, although time-series analysis provides a more contextualized results and conclusions, the obtained conclusions suffer from their limited generalizability. Originality/value This paper aims to specifically make a contribution to the empirical literature for Wagner’s law, by testing the Egyptian data using time-series econometric techniques for the longest time period examined so far, which is 1960–2018.

A pooled time-series—cross section analysis of returns on alternative sources of bank capital

1985 ◽  
Vol 17 (6) ◽  
pp. 1023-1041
Author(s):  
William L. Wilbur ◽  
George L. Miller ◽  
William J. Brown
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Bank Capital ◽  
Alternative Sources ◽  
Pooled Time Series ◽  
Section Analysis
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