Does Public Opinion Constrain Presidential Unilateralism?

2019 ◽  
Vol 113 (4) ◽  
pp. 1071-1077 ◽  
Author(s):  
DINO P. CHRISTENSON ◽  
DOUGLAS L. KRINER

Whether presidential unilateralism is normatively advantageous or parlous for American democracy may depend on the extent to which a check remains on its exercise and abuse. Because the formal institutional constraints on unilateral action are weak, an emerging literature argues that the most important checks on unilateralism may be political, with public opinion playing a pivotal role. However, existing scholarship offers little systematic evidence that public opinion constrains unilateral action. To fill this gap, we use vector autoregression with Granger-causality tests to examine the relationship between presidential approval and executive orders. Contra past speculation that presidents increasingly issue executive orders as a last resort when their stock of political capital is low, we find that rising approval ratings increase the frequency of major unilateral action. Low approval ratings, by contrast, limit the exercise of unilateral power.

2014 ◽  
Vol 1 (3) ◽  
pp. 156-162
Author(s):  
Tendai Makoni

The time series yearly data for Gross Domestic Product (GDP), inflation and unemployment from 1980 to 2012 was used in the study. First difference of the logged data became stationary as suggested by the time series plots. Johansen Maximum Likelihood Cointegration test indicated a long-run relationship among the variables. Granger Causality tests suggested unidirectional causality between inflation and GDP, implying that GDP is Granger caused by inflation in Zimbabwe. Another unidirectional causality was noted between unemployment and inflation. The causality between unemployment and inflation imply that unemployment do affect GDP indirectly since unemployment influences inflation which in turn positively affect GDP.


2021 ◽  
pp. 166-200
Author(s):  
Andrew Rudalevige

This chapter presents a new data set of more than two hundred executive orders never signed by the president. However that is interpreted — as good management or as gridlock — something that could have been done “with the stroke of a pen” was not. Here, too, quantitative and archival analysis pair to help us understand why. The results highlight the fact that unilateral action has costs, which at some point outweigh the benefits. Those costs may be rung up in Congress, or the courts, or by public opinion. But as the exploration here shows, they may also be imposed by the executive branch.


2017 ◽  
Vol 63 (No. 7) ◽  
pp. 308-317
Author(s):  
Bein Murad A ◽  
 Ciftcioglu Serhan

The study empirically investigates the relationship between the relative GDP share of agriculture and the unemployment rate in a sample of ten Central and Eastern European countries. Utilising the annual data for the sample period 1996–2013, the empirical analysis is carried out using the dynamic panel regression analysis and the Granger causality tests. The estimation results based on the alternative specification of regression equations for the unemployment rate suggest that the unemployment rate is negatively related to the relative GDP share of agriculture. In addition, a similar effect has been obtained for some other explanatory variables we have included in the unemployment equation as controlling variables: higher investment rate and trade openness are likely to lower the rate of unemployment. The financial development has also been found to be negatively related to the unemployment rate, although the statistical significance of its effect depends on the estimation technique used. On the other hand, the GDP growth and the government consumption have been found to be insignificantly related to the unemployment rate. While the Granger causality tests performed for each country produced evidence of a causal effect of the relative GDP share of agriculture in some countries, in some other countries the direction of causality has been found to be from the unemployment rate to the relative GDP share of agriculture. Our findings suggest that agriculture may play a potential role in lowering the prevailing rates of high unemployment; but this potential is likely to vary between countries.  


2017 ◽  
Vol 57 (7) ◽  
pp. 899-907 ◽  
Author(s):  
Han Liu ◽  
Haiyan Song

The relationship between tourism and economic growth has created a large body of literature investigating the hypotheses of tourism-led economic growth (TLEGH) and economy-driven tourism growth (EDTGH). In this article, we use mixed-frequency Granger causality tests to investigate the relationship between the two types of growth in Hong Kong from 1974 to 2016. Our analysis reveals the following empirical regularities. First, the hidden short-run causality of TLEGH is detected, and EDTGH is proved in the short run and also in the long run when Granger causality tests are performed in a mixed-frequency framework. Second, mixed-frequency Granger tests demonstrate more power in testing the TLEGH and EDTGH via the rejection frequencies (bootstrap p value). Finally, rolling Granger causality tests reveal an unstable relationship between tourism and economic growth in both magnitude and direction, and the relationship is highly economic- and tourism-event-dependent.


1998 ◽  
Vol 2 (1) ◽  
pp. 49-71 ◽  
Author(s):  
James B. Ramsey ◽  
Camille Lampart

Economists have long known that timescale matters in that the structure of decisions as to the relevant time horizon, degree of time aggregation, strength of relationship, and even the relevant variables differ by timescale. Unfortunately, until recently it was difficult to decompose economic time series into orthogonal timescale components except for the short or long run in which the former is dominated by noise. Wavelets are used to produce an orthogonal decomposition of some economic variables by timescale over six different timescales. The relationship of interest is that between money and income, i.e., velocity. We confirm that timescale decomposition is very important for analyzing economic relationships. The analysis indicates the importance of recognizing variations in phase between variables when investigating the relationships between them and throws considerable light on the conflicting results that have been obtained in the literature using Granger causality tests.


2014 ◽  
Vol 926-930 ◽  
pp. 3826-3829
Author(s):  
Yang Gao ◽  
Yi Lei Hou ◽  
Zheng Zhao ◽  
Ya Li Wen

The relationship between output value of forestry and forestry investment is considered as an imperative issue in forestry economy. In this paper, Granger causality tests are applied to examine the causal relationship between the output value of forestry and the forestry investment for China during 1998 to 2012. Empirical evidence reveals forestry investment and output value of forestry are co-integrated and there is unidirectional causality running from forestry investment to the output value of forestry but not vice versa. With the purpose of conquering the lack of forestry investment, government need to speed up the finance expenditure on forestry, to expand sources of forestry investment and to improve efficiency of investment.


2014 ◽  
Vol 543-547 ◽  
pp. 4335-4338
Author(s):  
Zai Tang Wang ◽  
Na Wang

In our country tax system, the most category of taxes have relationship with service, involving almost every part of the service industry. With the development of service industry, the tax revenues will increase. This paper uses co-integration test and Granger causality tests to analysis the relationship between the development level of the service industry and tax revenue.In order to use tax policy to promote the transformation and upgrading of service industry.


2019 ◽  
Vol 9 (7) ◽  
pp. 1539 ◽  
Author(s):  
Bernhard ISHIORO

This paper is directed at exploring the relationship among energy consumption, disaggregated sectoral output (GDP) and economic growth in Nigeria using time series data. The study applied a plethora of estimation techniques (multivariate unit root, Johansen cointegration and Granger causality tests). The study found that energy consumption has enhanced the performance of agriculture, health, manufacturing, utilities, finance and transport sectors in Nigeria during the period under consideration. Long-run energy consumption was found to be detrimental to the performance of administration output (GDP). The study recommends that energy consumption should be encouraged essentially for sectoral and industrial purposes (the production of intermediate goods and services) and not only for household consumption.


2020 ◽  
Vol 24 (5) ◽  
pp. 323-334
Author(s):  
Linchuan Yang ◽  
K.W. Chau ◽  
Yi Lu ◽  
Xu Cui ◽  
Fanyu Meng ◽  
...  

Existing literature has inadequately examined the nexus between tourism and property prices. Additionally, it mainly focuses on hotels and housing, thereby overlooking other property categories (e.g., retail properties). The relationship between tourism development and retail property prices in shopping destinations (e.g., Hong Kong and Singapore) may hinge on the locale. More specifically, the relationship may be different in the tourist precinct or popular tourism shopping area (PTSA) and the unpopular tourism shopping area (UTSA). This study examines locale-varying relationships between tourism development (measured by tourist volume and tourism expenditure) and retail property prices from 2002Q1 to 2014Q4 in Hong Kong using standard and error-correction-model-based (ECM-based) Granger causality tests. Results of standard Granger causality tests indicate that tourism development Granger causes the increase in retail property prices in the PTSA but not in the UTSA. Moreover, results of ECM-based Granger causality tests further verify the robustness and plausibility of the tourism-led growth (in retail property prices) hypothesis in the PTSA. In other words, we find that tourism development measures can be used to better predict changes in retail property prices in the PTSA than simply referring to the price history.


2003 ◽  
Vol 53 (1) ◽  
pp. 61-73
Author(s):  
N. Dritsakis

The paper investigates the relationship among macroeconomic variables for a transition country: Hungary. The purpose of this paper is to measure the dynamic interrelationship among macroeconomic variables such as money supply, output, interest rates, inflation and exchange rates. For the empirical analysis of this investigation, quarterly data have been used for the period from 1980 to 2000, and the Johansen multivariate cointegration technique and the Granger causality tests have been applied. The results provide evidence of the existence of important causal relationships between variables that describe macroeconomic activity in Hungary.


Sign in / Sign up

Export Citation Format

Share Document