Purchasing power parity in transition countries: Sequential panel selection method

This study applies the Sequential Panel Selection Method (SPSM), proposed by Chortareas and Kapetanios (2009) to test the validity of long-run purchasing power parity (PPP) for a sample of 14 transition countries, using real effective exchange rates, from 1994 to 2012 (for both monthly and quarterly data). SPSM classifies the whole panel into a group of stationary series and a group of non-stationary series. In doing so, we can clearly identify how many and which series in the panel are stationary processes. Empirical results from the SPSM using the Panel KSS unit root test (Ucar and Omay, 2009) with a Fourier function indicate that PPP holds true for most of these transition countries studied. Our results have important policy implications for these transition countries under study.     

Do real interest rates converge across Latin american countries?

In this study, we apply the Sequential Panel Selection Method (SPSM), proposed by Chortareas and Kapetanios (Journal of Banking and Finance 33:390–404, 2009), to investigate and assess the non-stationary properties of the real interest rate parity (RIRP) for fourteen Latin American countries. Utilizing the SPSM, we can classify the entire panel into a group of stationary series and a group of non-stationary series. We clearly identify how many and which series in the panel are stationary processes and provide robust evidence that clearly indicate RIRP holds true for ten countries. Our findings note that these countries’ real interest rate convergence is a mean reversion toward RIRP equilibrium values in a non-linear way. Our results have important policy implications for these Latin American countries under study.     

CO2 emissions converge in the 50 U.S. states — Sequential panel selection method

This study applies the sequential panel selection method (SPSM) procedure proposed by Chortareas and Kapetanios (2009) to investigate the time-series properties of CO₂ emissions for 50 U.S. states during the 1990 to 2010 period. SPSM classifies the whole panel into a group of stationary series and a group of non-stationary series. In doing so, we could clearly identify how many and which series in the panel are stationary processes. Empirical results from the SPSM using the panel KSS unit root test (Ucar and Omay, 2009) with a Fourier function, indicate that CO₂ emissions only converge in 12 out of the 50 U.S. states in our analysis.     

Is per capita real GDP stationary in China? Sequential panel selection method

This paper investigates the time-series properties of per capita real GDP in China. The Sequential Panel Selection Method (SPSM) using the Panel KSS test with a Fourier function, a novel approach to panel unit testing, is applied to the data on 31 Chinese provinces over the period of 1979 to 2009. The SPSM classifies the whole panel into the group of stationary and non-stationary series, which identifies how many and which series are characterized by stationary processes. The results indicate that the per capita real GDP are non-stationary in all of these 31 regions in China, providing important policy implications.     

Do real interest rates converge across East Asian countries based on China?

This study applies the sequential panel selection method (SPSM), proposed by Chortareas and Kapetanios (2009), to assess the non-stationary properties of the real interest rates relative to China for ten East Asian countries. SPSM can classify the whole panel into a group of stationary series and a group of non-stationary series. We clearly identify how many and which series in the panel are stationary processes and provide robust evidence to indicate that RIRP holds true for five countries. It implies that the choices and effectiveness of the monetary and fiscal policies in the East Asian economies will be highly influenced by external factors originating from China. Also, our findings point out that real interest rate convergence relative to China is mean reverting toward RIRP equilibrium values in a non-linear way.     

Are house prices in South Africa really nonstationary? Evidence from SPSM-based panel KSS test with a Fourier function

This study applies the sequential panel selection method (SPSM) to investigate the time-series properties of provincial house prices for entire, large, medium and small middle-segments of South Africa. Quarterly time-series data were collected from nine provinces in South Africa for different house-size categories over the period of 1978.Q1 to 2012.Q4. Whereas other panel-based unit-root tests are joint tests of a unit root for all members of a panel and are incapable of determining the mix of integrated of order zero (I(0)) series and integrated of order one (I(1)) series in a panel setting, the SPSM proposed by Chortareas and Kapetanios (2009) can clearly identify how many and which series in the panel are stationary processes by classifying a whole panel into a group of stationary and nonstationary series. The empirical results from several panel-based, as well as standard pure time-series, unit-root tests, indicate that house prices for the nine provinces studied here are either stationary or nonstationary. However, results from the SPSM using the panel version of the Kapetanios et al. (KSS, 2003) test with a Fourier function unequivocally indicate that house prices are stationary for the nine provinces under study. Our test results have important economic and policy implications for South Africa.     

Purchasing power parity for fifteen Latin American countries: Stationary test with a Fourier function

This study applies a stationary test with a Fourier function, proposed by Becker et al. (2006), to test the validity of long-run purchasing power parity (PPP) in fifteen Latin American countries over the period of December 1994 to February 2010. The empirical results from the univariate unit root tests indicate that PPP does not hold for these fifteen countries under study. However, a stationary test with a Fourier function indicates that PPP is valid for four of these 15 Latin American countries and they are Brazil, Chile, Ecuador and Uruguay. These results have important policy implications for these fifteen Latin American countries under study.     

Reexamining the income inequality in China: Evidence from sequential panel selection method

This study aims to understand whether incomes across different regions in China are converging or diverging. We propose a novel approach to panel unit root testing–sequential panel selection method (SPSM) by using panel Kapetanios et al. (KSS) test with a Fourier function, which is sufficiently efficient to control for structural breaks and nonlinearity as well as cross-sectional dependency. SPSM classifies the whole panel into a group of stationary and nonstationary series. The method also clearly determines how many and which series in the panel are stationary processes. Using the panel data obtained from 31 regions in China, we find out that the real gross domestic product per capita from 1979 to 2010 does not converge in 20 of the 31 regions in China. The evidence of income divergence has important policy implications for China.     

Purchasing power parity and country characteristics: Evidence from panel data tests

We examine long-run purchasing power parity (PPP) using panel data methods to test for unit roots in US dollar real exchange rates of 84 countries. We find stronger evidence of PPP in countries more open to trade, closer to the United States, with lower inflation and moderate nominal exchange rate volatility, and with similar economic growth rates as the United States. We also show that PPP holds for panels of European and Latin American countries, but not for African and Asian countries. Our findings demonstrate that country characteristics can help explain both adherence to and deviations from long-run PPP.     

Purchasing power parity for 15 Latin American countries: Panel SURKSS test with a Fourier function

This study applies Panel SURKSS test with a Fourier function to investigate the properties of long-run purchasing power parity (PPP) in fifteen Latin American countries over the period of December 1994 to February 2010. The empirical results from the univariate unit root and panel-based unit root tests indicate that PPP does not hold for these fifteen countries under study. However, results from the Panel SURKSS test with a Fourier function indicate that PPP is valid for these fifteen countries, with the exception of Honduras. Our results highlight the importance of incorporating both nonlinearities and structural breaks when testing the validity of long-run PPP. These results have important policy implications for these fifteen Latin American countries under study.     

Revisiting Purchasing Power Parity in OECD

This study revisits Purchasing Power Parity theory (PPP) in the 34 OECD countries during January 1994–August 2013. We use a new panel stationary test with both sharp breaks and smooth shifts, a novel approach to panel unit-root testing, proposed by Bahmani–Oskooee et al. (2014). The results indicate that the PPP holds in half of the 34 OECD countries. These results indicate the importance of proper modelling of both sharp breaks and smooth shifts in real effective exchange rate series of OECD countries.     

Panel asymmetric nonlinear unit root test and PPP in Africa

This study revisits purchasing power parity (PPP) theory for 20 African countries using panel asymmetric nonlinear unit root test proposed by Emirmahmutoglu and Omay (2014), through the sequential panel selection method of Chortareas and Kapetanios (2009). While standard panel unit root tests fail to support the PPP, the empirical results from panel asymmetric nonlinear unit root test do support the PPP. However, additional tests reveal that support in all 20 African countries is mostly due to stationarity of the real effective exchange rates of Ghana and Rwanda where the adjustment process towards equilibrium is nonlinear and asymmetric.     

Relationship between trade openness and economic growth in Latin America: A causality analysis with heterogeneous panel data

We empirically analyze the causality relationship between economic growth and international trade using new advancements in the econometric methodology for heterogeneous panel data applied to Latin American countries. First, we test for dependencies between the units of cross‐section (countries) and then we test for cointegration between growth and openness. Finally, we test for Granger causality using a heterogeneous panel data test. The results reject the hypothesis of general, unidirectional, and homogeneous relationship between trade openness and economic growth in Latin American countries as a group. However, considering heterogeneity, we found significant evidence of causality from trade liberalization to economic growth in Chile, Peru, Nicaragua, and Uruguay; we have found bidirectional causality in Mexico and Honduras; and a causal relationship from economic growth to trade liberalization in Colombia, Costa Rica, Guatemala, and the Dominican Republic.     

Investigation of the nonlinear behaviour in real exchange rates in developing regions

This article examines whether the purchasing power parity (PPP) theory holds or not for the economies in different developing regions located in Africa, Asia and Latin America. In order to investigate this issue, a nonlinear panel unit root test is used to determine if some or all of the real exchange rates in a panel follow a stationary exponential smooth transition autoregressive process. By applying the nonlinear panel unit root test, our results demonstrate an empirical support for the theory of PPP for the economies in developing regions.     

Latin America after the global crisis: the role of export-led and tradable-led growth regimes

Is the ongoing economic slowdown in industrialized countries likely to impact Latin American growth negatively in the medium- to long-run? This paper considers various transmission channels that work through trade in goods and services, and finds econometric evidence suggesting that shrinking global imbalances may create problems for Latin America. Specifically, using panel data analysis, we find that the trade balance as a proportion of GDP is positively associated with Latin American economic growth over the period 1953–2009. We then develop a simple dynamic model to help explain our main finding through investment and saving behaviour.     

Reexamining the PPP hypothesis: A nonlinear asymmetric heterogeneous panel unit root test

In this study, we re-examine the PPP hypothesis in the light of the new developments in the unit root testing literature. The recent theoretical findings have pointed out that the real exchange rate series exhibit asymmetric nonlinear behavior. A unit root test applied to analyze the PPP hypothesis therefore, should also take into account this asymmetry inherent in the real exchange rate. Different unit root tests that consider the presence of these data features have been developed in the time series literature. However, a true attempt to test the PPP hypothesis should take a panel data approach. To this end, we propose a nonlinear heterogeneous panel unit root test where the alternative hypothesis allows for symmetric or asymmetric exponential smooth transition autoregressive nonlinearity and provide its finite sample properties. We apply our test to the real exchange rates of the 15 European Union countries against the US dollar. While the results of the linear and symmetric nonlinear heterogeneous panel unit root tests are against the PPP hypothesis, the asymmetric nonlinear heterogeneous panel test that we propose gives support for the PPP hypothesis as expected. Therefore, the conclusions drawn from the linear panel unit root tests or the nonlinear panel unit root tests that do not take asymmetry into account might be misleading.     

Testing for unemployment hysteresis in nonlinear heterogeneous panels: International evidence

Nonlinear behavior of unemployment is well documented in the literature, and thus linear unit root tests may not be appropriate in this case. This paper tests for hysteresis of unemployment for 29 OECD countries through the use of a new nonlinear panel unit root test developed by Ucar and Omay (2009). The test examines the joint null hypothesis of linearity and a unit root against the alternative hypothesis of nonlinear stationarity. Large power gains are achieved by both combining cross-sectional information with nonlinearities in the data. In addition, after the unit root null being rejected, we use a sequential panel selection method suggested by Chortareas and Kapetanios (2009) to classify the whole panel into a group of stationary countries and a group of non-stationary countries. The empirical findings show that the nonlinear panel test gives strong evidence in favor of the natural rate hypothesis of unemployment for 23 of 29 OECD countries, in contrast to those obtained by Chang's (2002) linear panel test that 17 countries display evidence of stationary unemployment.     

Removal of farm subsidies in a regional economy: a computable general equilibrium analysis

There are a number of studies that examine the purchasing power parity (PPP) hypothesis. The empirical findings from the extant literature for the PPP hypothesis are mixed. This article applies univariate and panel Lagrange Multiplier (LM) unit root tests with one and two structural breaks to real exchange rates for 15 Asian countries. The univariate LM unit root tests find evidence of PPP for two-thirds of the sample. The results from the panel LM unit root test support long-run PPP for the Asian countries in the sample. The results from the LM panel unit root tests differ from those of existing panel unit root tests of PPP for Asian countries that have not allowed for the existence of structural breaks.     

Purchasing power parity with flexible Fourier stationary test for Central and Eastern European countries

This study applies stationary test with a Fourier function proposed by Enders and Lee (2004, 2009) to test the validity of long-run Purchasing Power Parity (PPP) to assess the nonstationary properties of the Real Exchange Rate (RER) for seven Central and Eastern European Countries (CEECs). We find that our approximation has higher power to detect U-shaped breaks and smooth breaks than linear method if the true data generating process of exchange rate is in fact a stationary nonlinear process. We examine the validity of PPP from the nonlinear point of view and provide robust evidence clearly indicating that the PPP holds true for all CEECs. Our findings point out their exchange rate adjustment is mean reversion towards PPP equilibrium values in a nonlinear way.     

Short-run exchange rate uncertainty in Latin America

This paper to obtain an ex ante measure of exchange rate uncertainty in 11 Latin American countries. As a preliminary issue, the purchasing power parity (PPP) condition is tested using Engle and Granger two-step procedure and Johansen method. The argument is that exchange rate uncertainty could be lower if PPP holds in the long run. The expected exchange rate uncertainty is estimated according to an extended version of the autoregressive, conditionally heteroscedastic (ARCH) model. The results show that the ARCH adjusment produces more efficient estimates in seven countries and that the acceptance of PPP has little effect on exchange rate uncertainty.