Revisit causal nexus between military spending and debt: A panel causality test

This study revisits the causal relationship between military spending and debt burden in 11 OECD countries via a panel causality analysis that accounts for both cross-sectional dependence and heterogeneity across countries. Our empirical results indicate unidirectional causality from military spending to debt burden for Japan, Portugal, and the US; one-way causality from debt burden to military spending for both Canada and the UK; bidirectional causality for Spain; and for the rest of countries, we do not find any relationship between military spending and debt burden. The empirical evidence does not provide consistent results regarding the causal relationship between military spending and debt burden in these 11 OECD countries.     

Wagner’s Law and Fiscal Illusion: An analysis of state government finances in Brazil

The aim of this article is to analyze state‐level public finances in Brazil. We examine the dynamics of governmental spending in a panel of 26 Brazilian states in search of evidence of Wagner’s Law and Fiscal Illusion Hypothesis. For the period ranging from 2002 to 2015, three methodologies are applied: dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), and pooled mean group (PMG). The main empirical results found indicate that (1) there is strong evidence of Fiscal Illusion caused by public deficit and by central government transfer grants; (2) there are possible Flypaper Effects; (3) there is no evidence in support of Wagner’s Law; (4) there is low publicness degree of local expenditures; (5) due to Fiscal Illusion, less‐developed Brazilian states tend to be stuck in a public expenditure growth mechanism, especially in expenses related to non‐public goods, which tend to benefit private interests and lobby groups.     

Results on the bias and inconsistency of ordinary least squares for the linear probability model

This note formalizes bias and inconsistency results for ordinary least squares (OLS) on the linear probability model and provides sufficient conditions for unbiasedness and consistency to hold. The conditions suggest that a “trimming estimator” may reduce OLS bias.     

Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches

We use a quantile regression (QR) approach to analyse contingent valuation estimates of public willingness to pay (WTP) for the air and noise pollution reductions associated with the introduction of hydrogen buses in London. QR results show that variables that were not significant in interval regression or ordinary least squares regression become significant at certain quantiles along the WTP distribution. In addition, the determinants of WTP at the lower tail of the distribution differ from those at the higher end of the distribution. Our findings illustrate the usefulness of quantile regression methods for analysing contingent valuation data, enhancing our understanding of the determinants of willingness to pay.     

Effects of government spending on private investment

This paper investigates the effects of military and non-military public expenditures on gross private investment using cointegration and error-correction analysis. The latter type of public spending is disagreggated into expenditures of infrastructure, consumption and other general government expenditures. The empirical evidence from four emerging European countries namely, Greece, Ireland, Portugal and Spain suggests that in some cases public capital spending stimulates investment, while in others it depresses it. Also, the results tentatively indicate that defence spending exerts no influence on private investment, thus adding to the ongoing controversy of the economic effects of military spending.     

Corruption and military spending

Anecdotal evidence relates corruption with high levels of military spending. This paper tests empirically whether such a relationship exists. The empirical analysis is based on data from four different sources for up to 120 countries during 1985–1998. The association between military spending and corruption is investigated by using cross-section and panel regression techniques. The results suggest that corruption is associated with higher military spending as a share of both GDP and total government spending, as well as with arms procurement in relation to GDP and total government spending. The results can be interpreted as evidence that defense spending may be used as a component of an indicator of the quality of governance.     

Functional components of public expenditure,fiscal consolidations,and economic activity

This paper analyses how the functional components of public expenditure and spending‐driven consolidations affect the economic growth, unemployment, and income inequality. A dynamic panel data least squares dummy variable estimator estimator is employed over a sample of 15 European Union countries during the period 1990–2012. The empirical results show that real GDP growth decreases when fiscal austerity measures are implemented, especially if they are spending‐driven. Cuts in public expenditure undermine economic growth, namely if they slash spending on public order, recreation, and education. Spending cuts on education, in particular, affect the investment in human capital, harming not only growth but also economic, social, and human development. The unemployment rate also proved to be significantly boosted when austerity measures restrict spending on education, whereas income inequality rises when social protection expenditures are cut.     

A new perspective on the exporter productivity premium: online trade

We use a unique firm-level data set including 9000 companies from 26 European Union countries covering four different sectors to take a close look at the relationship between online exports and productivity. The online exporter productivity premium is estimated using different techniques (ordinary least squares, quantile regressions and robust estimation). Results consistently indicate that the estimated online exporter productivity premium is statistically different from zero, positive and significant from an economic point of view. European online exporters, according to these results, are approximately 2% more productive than non-online exporters. Productivity differences between firms could be related to variables that are not included in the empirical model. More research would be needed to address this issue in the future.     

Forecasting Inflation Using Constant Gain Least Squares

This paper assesses the usefulness of constant gain least squares when forecasting inflation. An out‐of‐sample forecast exercise is conducted, in which univariate autoregressive models for inflation in Australia, Sweden, the United Kingdom and the United States are used. The results suggest that it is possible to improve the forecast accuracy by employing constant gain least squares instead of ordinary least squares. In particular, when using a gain of 0.05, constant gain least squares generally outperforms the corresponding autoregressive model estimated with ordinary least squares. In fact, at longer forecast horizons, the root mean square forecast error is reliably lowered for all four countries and for all lag lengths considered in the study.     

The effectiveness of government spending on education and health care in developing and transition economies

Recent studies show that corruption is associated with higher military spending [Eur. J. Polit. Econ. 17 (2001) 794] and lower government spending on education and health care [J. Publ. Econ. 69 (1998) 263]. This suggests that policies aimed at reducing corruption may lead to changes in the composition of government outlays toward more productive spending. However, little empirical evidence has been presented to support the claim that public spending improves education and health indicators in developing and transition countries. This paper uses cross-sectional data for 50 such countries to show that increased public expenditure on education and health care is associated with improvements in both access to and attainment in schools, and reduces mortality rates for infants and children. The education regressions are robust to different specifications, but the relationship between health care spending and mortality rates is weaker.     

No buck for the bang: revisiting the military-growth nexus

This paper investigates the empirical relationship between military spending and economic growth in a large panel of advanced and developing countries over the period 1984–2014, with a particular focus on whether the growth impact of military expenditures varies with the type and level of security threats. Although there is extensive literature on the military-growth nexus, there is still no consensus on the nature and magnitude of this relationship. Using an expansive dataset and controlling for country-specific effects and potential endogeneity, we revisit this issue and reach two firm conclusions. First, military spending has no statistically significant direct (positive) effect on growth. Second, the nature and level of security threats do not alter the relationship between military spending and growth. Overall, the empirical results documented in the study suggest that military spending is simply not important or large enough in most countries to have a meaningful impact on growth.     

Investigating the Dynamic Interaction between Military Spending and Economic Growth

The relationship and interaction of military spending and economic growth have been theoretically and empirically investigated since the 1970s but it still cannot provide conclusive evidence towards the direction and the quantification of the impact between the two magnitudes. The use of different data sets in terms of time periods, and number and geographic location of countries, different theoretical background leading to different econometric specifications, and single type of econometric methodology, make any comparison impossible. This paper looks into the dynamic interaction between military spending and economic growth during the period 1988–2013 that includes the recent years of economic crisis covering 138 countries without making any prior assumptions about the theoretical channels of influence, while not limited to a single estimation method but employing a wide range of methodologies in order to form a complete picture of the long‐ and short‐run interaction. Furthermore, as such interaction might not be linear, we create three groups of countries based on the countries' income developmental stage. Overall we find no evidence of long‐ and short‐run causality from the military spending to economic growth except for the developing countries (positive in the long run). However, from economic growth to military spending we find a positive impact for all groups except the least developed countries. We also notice the interaction was more prominent prior to the start of the economic crisis.     

So alike,yet so different: Comparing fiscal multipliers across EU members and candidates

We estimate, using a Panel Vector Autoregressive approach and data from 2001Q1 to 2017Q1, the fiscal multipliers of the European Union (EU) members and candidates. These countries are grouped according to their stages of integration: original members, new Eurozone members, and candidates for the Eurozone and the EU itself. For each group, we assess the impact of a positive spending shock (expansionary) or a positive tax shock (contractionary) on GDP. Our findings suggest that: (i) rising government spending increases GDP in both the EU and Eurozone candidates (Keynesian multipliers), but slightly decreases it in the Eurozone members (non-Keynesian multipliers); (ii) higher taxes are associated with mixed results in terms of GDP dynamics - both increases and decreases in terms of GDP are found - in the four country groups (suggesting the presence of Keynesian and non-Keynesian multipliers). Overall, these outcomes indicate that spending multipliers are, compared to tax multipliers, more sensitive to European Union or Eurozone membership.     

Optimal military spending in the US: A time series analysis

This paper extends previous work on the optimal size of government spending by including nested functional decompositions of military spending into consumption and investment. Post World War II US data are then used to estimate nested non-linear growth models using semi-parametric methods. As expected, investments in military and non-military expenditure are both found to be productive expenditures with respect to the private production. Moreover there is little evidence to suggest that current military spending is having a negative impact on economic growth in the US, while civilian consumption only tends to have only a weak impact. This does not imply that society will necessarily benefit from a reallocation of more spending to the military sector, nor that it is the best way to achieve economic growth.     

Exports and growth: a causality analysis for the pulp and paper industries based on international panel data

This study examines the causal relations between exports and domestic production in the pulp and paper industries. The issue is whether exports are the engine of growth, or whether exports follow growth. The data were time-series of the 15 main exporting countries between 1961 and 1995. The method was Granger-causality analysis with error correction, based on models estimated in three ways: ordinary least squares by country, least squares with dummy variables (LSDV), and seemingly unrelated regression. Regardless of method, the strongest relation was an instantaneous (within a year) feedback between exports and production. The LSDV results implied average multipliers across countries of 1.2 to 1.4 from exports to production, and 0.20 to 0.25 from production to exports, in both industries. Experiments with monthly data on the pulp industries of Canada and the USA showed that temporal aggregation could affect the Granger-causality test results.     

Growth, income distribution, and fiscal policy volatility

The relationship between income distribution and economic growth has long been an important economic research subject. Despite substantial evidence on the negative impact on long-term growth of inequality in the literature, however, there is not much consensus on the specific channels through which inequality affects growth. The empirical validity of two most prominent political economy channels - redistributive fiscal spending and taxes, and sociopolitical instability - has recently been challenged. We advance a new political economy channel for the negative link between inequality and growth, a fiscal policy volatility channel, and present strong supporting econometric evidence in a large sample of countries over the period of 1960-2000. Our finding also sheds light on another commonly observed negative relation between macroeconomic volatility and growth. We carefully address the robustness of the results in terms of data, estimation methods, outlier problem, and endogeneity problem that often plague the standard OLS (ordinary least squares) regression.     

Military spending and the black market premium in developing countries

Researchers who have been concerned with the economic implications of military spending have mostly concentrated on its impact on economic growth, corruption, real exchange rate and inflation. In this paper we investigate the impact of military spending on black market premium, an area that has not been tackled so far. After adding a measure of military spending to a well established model of black market premium form the literature, we estimate the model by pooling annual data over the 1985 – 1998 period across 61 developing countries. Results from five panel specifications provide considerable evidence that higher military spending leads to higher black market premium.     

Taking down the wall: Transition and inequality

In this article, we investigate the main determinants of income inequality in the transition countries of Central and Eastern Europe and the Commonwealth of Independent States during the period 1990–2018. To this end, we address a major methodological challenge that lies at the core of the cross‐country literature on income inequality: the potential endogeneity of income per capita, which is largely ignored by most empirical studies. We adopt a two‐pronged empirical strategy by (1) using trading partners’ weighted average real GDP as an instrumental variable and (2) estimating the model via the two‐stage least squares approach for static models and the generalized method of moments estimator for dynamic models. Our empirical findings are consistent with the Kuznets curve that illustrates a nonlinear relationship between income inequality and the level of economic development. We also find that the redistributive impact of fiscal policy is statistically insignificant and taxation and government spending appear to have the opposing effects on income inequality in transition economies over the sample period.     

江苏省城市规模分布的演化分析

文章应用位序—规模法则和分形理论,通过普通最小二乘法(OLS)对江苏城市规模分布各项参数进行了估计,在此基础上探讨了江苏城市人口规模分布从1990～2002年的演变趋势。结果显示:(1)位序—规模法则能够很好地描述江苏城市规模分布规律;(2)城市体系发育较为健全,均衡度不断增强;(3)江苏城市人口规模分布规律性明显,随着时间推移,城市规模分布呈现近似平行状态;(4)江苏城市分布的区域性差距明显。     

What happens to social spending in IMF-supported programmes?

This article finds that education and health spending has risen during International Monetary Fund (IMF)-supported programmes at a faster pace than in developing countries as a whole. The analysis is based on the most comprehensive dataset assembled thus far for this purpose, with data covering 1985 to 2009 for 140 countries. Controlling for other determinants of education and health spending, including macroeconomic conditions, the results confirm that IMF-supported programmes have a positive and significant effect on social spending in low-income countries. Over a 5-year period with IMF-supported programmes, spending for education increases by about ¾ percentage point of Gross Domestic Product (GDP); and for health, by about 1 percentage point of GDP. IMF-supported programmes are also associated with increases in the share of government spending allocated to education and health.