Structural Breaks and Convergence in the Regions of Peru: 1970–2010

The aim of this paper is the analysis of stochastic and β‐convergence in the relative regional per capita outputs using different unit root tests both with and without structural breaks and using a further test that is robust to the presence of I(0) or I(1) errors. It allows robust inference on the estimates of the initial per capita output (intercepts) and the respective growth rates (slopes). The results of the application of unit root tests without structural breaks show the absence of stochastic convergence. However, by incorporating the presence of endogenous breaks, the results are reversed for all regions. In the case of β‐convergence, the results of the robust test W_RQF show that all regions have a structural break at some point during the period 1970–2010. We find different behavior for different regions. There is a catching‐up process and a lagging‐behind process for different groups of regions towards more negative or more positive paths.     

A contribution to the empirics of convergence in real GDP growth: the role of financial crises and exchange-rate regimes

This paper investigates the convergence in real gross domestic product growth focusing on the impact of financial crises (i.e. banking crises, currency crises and debt crises) and nominal exchange-rate regimes (i.e. fixed, intermediate and flexible) on convergence. To that end, we compute four convergence indicators (σ-convergence, γ-convergence, absolute β-convergence and conditional β-convergence) for 163 countries classified into four income groups during the period 1970–2011. The results suggest that (i) there is evidence in favour of σ-convergence and γ-convergence only for high-income countries; (ii) absolute and conditional β-convergence are present in each of the four income groups of the countries under study; (iii) exchange-rate regimes seem to play some role in upper-middle and lower-middle-income countries; and (iv) financial crises have a negative and significant impact on GDP growth independently of the income level of the countries.     

New evidence on the convergence of international income from a group of 29 countries

This paper updates and extends the time-series evidence on the convergence of international incomes using a set of 29 countries over the period 1900–2001. Time-series tests for stochastic convergence are supplemented with tests which provide evidence on the notion of “β-convergence” predicted by the Solow model. The evidence indicates that the relative income series of 21 countries are consistent with stochastic convergence, and that β-convergence has occurred in at least 16 countries at some point during the twentieth century. Further examination of the properties of the β-convergence test provides anecdotal evidence of conditional convergence in three additional countries for which the convergence hypothesis was initially rejected. Consideration of convergence clubs strengthens the evidence in favor of convergence. Analysis of the cross-country dispersion of incomes over time also suggests that convergence has occurred over the 1900–2001 period, particularly within certain clubs, with structural breaks associated with World War II in many countries causing a break in the convergence process.      

Evidence on the Convergence of Per Capita Income: A Comparison of Founder Members of the Association of South East Asian Nations and the South Asian Association of Regional Cooperation

This paper investigates the per capita income convergence patterns of a set of Association of South East Asian Nations (ASEAN) and South Asian Association of Regional Cooperation (SAARC) countries. We obtained a time‐series analysis for stochastic convergence by applying unit‐root tests in the presence of two endogenously‐determined structural breaks. We then supplemented the results by tests that produced evidence for β convergence. The evidence shows that the relative per capita income series of ASEAN‐5 countries were consistent with stochastic convergence and β convergence, but this was not found for SAARC‐5 countries. For the ASEAN‐5 countries, the structural breaks associated with the world oil crisis and the Asian crisis impacted heavily on the convergence/divergence process.     

Panel data stochastic convergence analysis of the Mexican regions

The stochastic convergence amongst Mexican Federal entities is analyzed in panel data framework. The joint consideration of cross-section dependence and multiple structural breaks is required to ensure that the statistical inference is based on statistics with good statistical properties. Once these features are accounted for, evidence in favour of stochastic convergence is found. Since stochastic convergence is a necessary, but not sufficient, condition for convergence as predicted by economic growth models, the paper also investigates whether β-convergence process has taken place. We found that the Mexican states have followed either heterogeneous convergence patterns or divergence process throughout the analyzed period.     

Is external research assessment associated with convergence or divergence of research quality across universities and disciplines? Evidence from the PBRF process in New Zealand

ABSTRACT

Performance-based research evaluations have been adopted in several countries both to measure research quality in higher education institutions and as a basis for the allocation of funding across institutions. Much attention has been given to evaluating whether such schemes have increased the quality and quantity of research. This paper examines whether the introduction of the New Zealand Performance-Based Research Fund process produced convergence or divergence in measured research quality across universities and disciplines between the 2003 and 2012 assessments. Two convergence measures are obtained. One, referred to as β-convergence, relates to the relationship between changes in average quality and the initial quality level. The second concept, referred to as σ-convergence, relates to the changes in the dispersion in average research quality over time. Average quality scores by discipline and university were obtained from individual researcher data, revealing substantial β- and σ-convergence in research quality over the period. The hypothesis of uniform rates of convergence across almost all universities and disciplines is supported. The results provide insights into the incentives created by performance-based funding schemes.     

Real convergence: empirical evidence for Latin America

This article investigates the real convergence of 17 Latin American countries to the US economy for the period 1950 to 2011. Time series methods are used to test stochastic and β-convergence. These methods include the possibility of one or two structural changes. The results show that when endogenous structural changes are considered several Latin American countries exhibit stochastic convergence. Nevertheless, real convergence to the US is found only for three Latin American countries: Chile, Costa Rica and Trinidad and Tobago, with these countries also presenting evidence of stochastic and β-convergence.     

Pitfalls in estimating β-convergence by means of panel data: an empirical test

This article aims to test the conjecture advanced in a recent work by Bianchi and Menegatti (Appl Econ Lett 14:963–967, 2007) that usual β-convergence panel regressions may produce biased evidence, due to their inability to distinguish between actual catching-up across countries and decreasing growth rates over time within countries. The test considers different sub-groups in a dataset of 72 countries for the period 1970–2000 and introduces both human capital and proxies for technological differences into the analysis. The results confirm the conjecture that traditional evidence about β-convergence may be misleading; they also show that catching-up across countries is weaker than usually claimed and that this process occurred only in some sub-groups of countries.     

A spatially filtered mixture of <Emphasis Type="Italic">β</Emphasis>-convergence regressions for EU regions, 1980–2002

Assessing regional growth and convergence across Europe is a matter of primary relevance. Empirical models that do not account for structural heterogeneities and spatial effects may face serious misspecification problems. In this work, a mixture regression approach is applied to the β-convergence model, in order to produce an endogenous selection of regional growth patterns. A priori choices, such as North–South or centre-periphery divisions, are avoided. In addition to this, we deal with the spatial dependence existing in the data, applying a local filter to the data. The results indicate that spatial effects matter, and either absolute, conditional, or club convergence, if extended to the whole sample, might be restrictive assumptions. Excluding a small number of regions that behave as outliers, only a few regions show an appreciable rate of convergence. The majority of data show slow convergence, or no convergence at all. Furthermore, a dualistic phenomenon seems to be present inside some States, reinforcing the “diverging-convergence” paradox. An erratum to this article can be found at     

Assessing economic convergence in the EU: is there a perspective for the ‘cohesion countries’?

This article analyses the stochastic income convergence within the EU-15. The empirical analysis uses per capita GDP, in PPP and in constant prices of 2005 for the period 1950 to 2010. Apart from the traditional DF type tests we also account for possible structural changes. In this direction, we employ the Zivot-Andrews (1992) and the Lee-Strazicich (1999, 2003) testing procedures, for one and two breaks, endogenously determined. Furthermore, we apply the Carlino and Mills (1993) methodology proposed for the detection of β-convergence. The overall evidence supports the existence of two discrete clubs, the first by the ‘cohesion countries’ (Portugal, Ireland, Greece and Spain) and the second by the remaining members. In particular, there is a clear evidence of convergence within each club, whereas between clubs there is a luck of catching-up effects. Furthermore, investigation of correlation between relative per capita GDP of each country and several factors that are often identified as growth stimulants, namely Total Factor Productivity, FDI, investment and openness confirm, with the exception of Greece, a strong association between these factors and the convergence process. However, progress in the convergence has not been uniform across countries and over time, reflecting the specific interactions between domestic and international factors and their impact on the convergence process of individual countries.     

Is There Long Run Industrial Convergence in Europe?

This paper examines whether convergence is occurring at the industry level in 11 EU countries from 1960 to 1993. Both time series and non-parametric (σ-convergence) methods are applied. Using time series analysis we test whether there is within sector convergence towards a common steady state. Although we adopt a very flexible definition of steady state, allowing for two stochastic trends, given by the sector-specific technology and by the country-specific characteristics, as well as a time trend, we find very little evidence for convergence. Results indicate that the deviation of the national trends from the European average trend are persistent, and that EU countries do not respond to the same long run driving processes, but only to the same short run shocks. From σ-convergence analysis we find that convergence in aggregate productivity does not hold uniformly at the industry level: some sectors, such as communications, distribution and non-market services, present strong evidence of convergence, and some others, mainly manufactures, show substantial divergence. However, interestingly, we find that productivity was strongly converging within all sectors in 1960–73, whereas it shows a general tendency to diverge after 1985. We interpret the switch from convergence to divergence as the effect of a process of radical change, driven by information technologies, affecting all industries in the last two decades. We arrive at the general conclusion that convergence is not an inevitable process, but rather a cyclical phenomenon alternating with divergence.     

Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

We examine and compare a large number of generalized autoregressive conditional heteroskedastic (GARCH) and stochastic volatility (SV) models using series of Bitcoin and Litecoin price returns to assess the model fit for dynamics of these cryptocurrency price returns series. The various models examined include the standard GARCH(1,1) and SV with an AR(1) log-volatility process, as well as more flexible models with jumps, volatility in mean, leverage effects, t-distributed and moving average innovations. We report that the best model for Bitcoin is SV-t while it is GARCH-t for Litecoin. Overall, the t-class of models performs better than other classes for both cryptocurrencies. For Bitcoin, the SV models consistently outperform the GARCH models and the same holds true for Litecoin in most cases. Finally, the comparison of GARCH models with GARCH-GJR models reveals that the leverage effect is not significant for cryptocurrencies, suggesting that these do not behave like stock prices.     

The Feldstein–Horioka Puzzle and structural breaks: Evidence from EU members

The purpose of this paper is to investigate the level of capital mobility in European Union members using the Feldstein–Horioka puzzle proposed by Feldstein and Horioka (1980) in order to investigate relations between saving and investment flows. In this paper, data for 23 European countries were used over the period of 1995–2009 on the quarterly basis. Two different tests were used to estimate the stationarity of the model variables, which are the Ng and Perron (2001) unit root test procedure and approach proposed by Zivot and Andrews (1992) for unit root test allowing for a structural shift. Then the Kejriwal and Perron (2008, 2010) structural break test was applied to determine the presence of structural breaks in series. In most countries except Belgium and Finland UDmax and WDmax tests rejected the hypothesis of no breaks. To test the cointegration relationships between investment and saving flows of European Union members three different cointegration techniques were applied to the data. Firstly, the Johansen (1988) cointegration approach was used for the case of no cointegration shifts, then the Gregory and Hansen (1996) cointegration test was applied, which allows for one structural shift. Finally, again the Johansen' cointegration approach was used; however, this time with the inclusion of dummy variables related to earlier selected structural break locations. The empirical results provided stronger evidence of cointegration between investment and saving variables in the case of structural break accommodation compared to the case where the presence of structural breaks was ignored. The estimated saving retention coefficient in the presence of structural breaks using the Kejriwal and Perron (2008, 2010) approach appeared relatively low in many cases, illustrating by this the openness of estimated countries. In general, world and European countries with time have a tendency to a higher level of their capital market openness. Estimations of a saving retention coefficient in the presence of structural changes do not support the existence of the Feldstein–Horioka Puzzle in the considered EU countries, except Belgium.     

Correct cointegration tests of the long-run relationship between nominal interest and inflation

The Fisher (1930) hypothesis suggests that a long-run equilibrium relationship exists between the non-stationary series: nominal interest and expected inflation. Testing such a cointegrating relationship is complicated by the presence of the unobserved ex antereal rate of interest in residuals from the cointegrating regression. Assumptions concerning the stochastic properties of the expected real rate of interest are examined, and two proxies for the ex antereal rate are employed in multivariate cointegration tests of the Fisher hypothesis.     

Fractional Integration Versus Structural Change: Testing the Convergence of $$\hbox {CO}_{2}$$ Emissions

This paper assesses the stochastic convergence of relative \(\hbox {CO}_{2}\) emissions within 28 OECD countries over the period 1950–2013. Using the local Whittle estimator and some of its variants we assess whether relative per capita \(\hbox {CO}_{2}\) emissions are long memory processes which, although highly persistent, may revert to their mean/trend in the long run thereby indicating evidence of stochastic convergence. Furthermore, we test whether (possibly) slow convergence or the complete lack of it may be the result of structural changes to the deterministics of each of the relative per-capita emissions series by means of the tests of Berkes et al. (Ann Stat 1140–1165, 2006) and Mayoral (Oxford Bull Econ Stat 74(2):278–305, 2012). Our results show relatively weak support for stochastic convergence of \(\hbox {CO}_2\) emissions, indicating that only between 30 and 40% of the countries converge to the OECD average in a stochastic sense. This weak evidence disappears if we enlarge the sample to include 4 out of the 5 BRICS, indicating that our results are not robust to the inclusion of countries which are experiencing rates of growth which are far larger than those of the OECD members. Our results also decisively indicate that a slow or lack of convergence is not the results of a structural break in the relative \(\hbox {CO}_{2}\) emissions series.     

Cost-effectiveness analysis of disease modifiying drugs (interferons and glatiramer acetate) as first line treatments in remitting-relapsing multiple sclerosis patients

Abstract

Objective:

The aim of this study was to assess cost-effectiveness of the different Disease Modifying Drugs (DMD) used as first-line treatments (interferons IM IFNβ-1a, SC IFNβ-1a, SC IFNβ-1b, and glatiramer acetate, GA) in Remitting-Relapsing Multiple Sclerosis (RRMS) in Spain.

Methods:

A Markov model was developed to simulate the progression of a cohort of patients with RRMS, during a period of 10 years. Seven health states, defined by the Expanded Disability Status Scale (EDSS), were considered in the model. Patients with an EDSS score less than 6.0 were assumed to be treated with one of the DMD. In addition, all patients were assumed to receive symptomatic treatment. The monthly transition probabilities of the model were obtained from the literature. The analysis was performed from the societal perspective, in which both direct and indirect (losses in productivity) healthcare costs (€, 2010) were included. A discount rate of 3% was applied to both costs and efficacy results.

Results:

GA was the less costly strategy (€322,510), followed by IM IFNβ-1a (€329,595), SC IFNβ-1b (€ 333,925), and SC IFNβ-1a (€348,208). IM IFNβ-1a has shown the best efficacy results, with 4.176 quality-adjusted life years (QALY), followed by SC IFNβ-1a (4.158 QALY), SC IFNβ-1b (4.157 QALY), and GA (4.117 QALY). Incremental costs per QALY gained with IM IFNβ-1a were €?1,005,194/QALY, €?223,397/QALY, and €117,914/QALY in comparison to SC IFNβ-1a, SC IFNβ-1b, and GA, respectively.

Conclusions:

First-line treatment with GA is the less costly strategy for the treatment of patients with RRMS. Treatment with IM IFNβ-1a is a dominant strategy (lower cost and higher QALY) compared with SC IFNβ-1a and SC IFNβ-1b. However, IM IFNβ-1a is not a cost-effective strategy vs GA, because incremental cost per QALY gained with IM IFNβ-1a exceeds the €30,000 per QALY threshold commonly used in Spain.

Limitations:

The highly-restrictive inclusion criteria of clinical trials limits generalization of the results on efficacy to all patients with multiple sclerosis. Availability of data for head-to-head comparisons is associated with the use of information from clinical trials.     

TECHNOLOGY SHOCKS AND ROBUST SIGN RESTRICTIONS IN A EURO AREA SVAR*

We use a model‐based identification strategy to estimate the impact of technology shocks on hours worked and employment in the euro area. The sign restrictions applied in the vector autoregression (VAR) analysis are consistent with a large class of dynamic stochastic general equilibrium (DSGE) models and are robust to parameter uncertainty. The results are in line with the conventional Real Business Cycle (RBC) interpretation that hours worked rise as a result of a positive technology shock. By comparing the sign restrictions method to the long‐run restriction approach of Galí (Quaterly Journal of Economics (1992) 709–38) , we show that the results do not depend on the stochastic specification of the hours worked series or the data sample but only on the identification scheme.     

Agglomeration,backward and forward linkages: evidence from South Korean investment in China

Abstract With a firm‐level data set, we study the location decision of South Korean multinationals across China's regions. Our conditional logit estimates confirm agglomeration effects along industry and along national lines. We add an upstream and downstream (backward and forward) linkage effect. We find that the presence of upstream and downstream South Korean affiliates significantly increases the likelihood that a South Korean multinational invests in a particular region. However, linkages that do not differentiate by nationality do not seem to matter much. As such, our analysis of investors' location choice brings together two perspectives: linkages and agglomeration along national lines.     

Necessary conditions for comparative statics under uncertainty

We investigate the comparative static properties of three classes of CDF changes: first and second degree stochastic dominant shifts, and mean preserving contractions. For each class, we provide conditions that are necessary and sufficient for a dominating shift to cause an unambiguous change in the choice variable. This allows us to see the trade-offs one must make between restrictions on preferences and CDF changes to obtain interesting comparative statics results. We then investigate the implications of our results for the two-period consumption-savings models and for distinguishing agents that do and do not obey the expected utility hypothesis.