Testing the purchasing power parity in panel data

This paper empirically tests the purchasing power parity (PPP) using panel unit root tests. We employ a battery of panel unit root tests: LM-bar statistic [Testing for unit roots in heterogeneous panels, Working paper, University of Cambridge] is employed to account for serially correlated errors. The statistic proposed by Breitung [Adv. Econom. 15 (2000) 161.] and the KPSS-based statistic of Hadri [Econ. J. 3 (2000) 148.] are also used. In addition, we also employ a SUR estimator to account for possible cross-sectional effect. Data of 45 economies from 1980 to 1999 are used to test the PPP hypothesis. We find that these estimators tend to get supportive results when the data frequency becomes lower, which substantially characterizes the long-run property of the PPP hypothesis.     

Home bias and deviations from purchasing power parity

Empirical analysis has produced mixed results in testing for PPP. This note presents a simple model linking home bias towards home-produced tradable goods with deviations from absolute PPP. We show that this bias constitutes a significant determinant of PPP deviations.     

Regime-switching purchasing power parity in Latin America: Monte Carlo unit root tests with dynamic conditional score

We suggest a Monte Carlo simulation-based unit root test of the purchasing power parity theory for Latin American countries. Under the null hypothesis, we use a Markov regime-switching (MS) model with unit root in the conditional location and MS volatility dynamics. Under the alternative hypothesis, the proposed test incorporates Markov regime-switching autoregressive moving average (MS-ARMA) plus MS volatility dynamics. Under both the null and alternative hypotheses, one of the volatility models estimated is Beta-t-EGARCH, which is a recent dynamic conditional score volatility model. We use data on real effective exchange rate time series for 14 Latin American countries. For each country, we estimate by Monte Carlo simulation the critical values of the unit root test. We provide an economic discussion of the unit root test results and also study the robustness of MS-ARMA plus MS volatility with respect to smooth transition autoregressive models with Fourier function.     

Revisiting purchasing power parity for African countries: with nonlinear panel unit-root tests

This study applies Panel Seemingly Unrelated Regressions (SUR) Kapetanios et al. (Kapetanios–Shin–Snell (KSS), SURKSS) tests, proposed by Wu and Lee (2009), to investigate the properties of long-run Purchasing Power Parity (PPP) in 15 African countries. The empirical results from the univariate unit root and panel based unit root tests indicate that PPP does not hold for these 15 countries under study. However, Panel SURKSS tests indicate that PPP is valid for four of these 15 countries. These results have important policy implications for these 15 African countries under study.     

Revisiting purchasing power parity for major OPEC countries: evidence based on nonlinear panel unit-root tests

In this study, we apply nonlinear panel unit-root test to assess the nonstationary properties of the real exchange rate for seven major Organization of the Petroleum Exporting Countries (OPEC). We find that nonlinear panel unit-root test has higher power than linear method suggested by Breuer et al. (2001 Breuer, J. B., McNown, R. and Wallace, M. S. 2001. Misleading inferences from panel unit-root tests with an illustration from purchasing power parity. Review of International Economics, 9: 482–93. [Crossref] , [Google Scholar]) if the true data generating process of exchange rate is in fact a stationary nonlinear process. We re-examine the validity of Purchasing Power Parity (PPP) from the panel nonlinear point of view and provide robust evidence clearly indicating that PPP holds true for four countries, namely Angola, Indonesia, Iran and Saudi Arabia. Our findings point out their exchange rate adjustment is mean reversion towards PPP equilibrium values in a nonlinear way.     

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.     

Heterogeneity,saving-investment dynamics and capital mobility in Latin America

The purpose of this paper is to analyze the dynamics of national saving-investment relationship in order to determine the degree of capital mobility in 12 Latin American countries. The analytically relevant correlation is the short-term one, defined as that between changes in saving and investment. Of special interest is the speed at which variables return to the long run equilibrium relationship, which is interpreted as being negatively related to the degree of capital mobility. The long run correlation, in turn, captures the coefficient implied by the solvency constraint. We find that heterogeneity and cross-section dependence completely change the estimation of the long run coefficient. Besides we obtain a more precise short run coefficient estimate compared to the existent estimates in the literature. There is evidence of an intermediate degree of capital mobility, and the coefficients are extremely stable over time.      

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.     

Flexible Fourier stationary test in purchasing power parity for African countries

This study applies stationary test with a Fourier function proposed by Enders and Lee (2004 Enders, W and Lee, J. 2004. Testing for a unit root with a nonlinear Fourier function, Tuscaloosa, AL, , USA: Working Paper, Department of Economics, Finance and Legal Studies, University of Alabama.  [Google Scholar], 2009 Enders, W and Lee, J. 2009. The flexible Fourier form and testing for unit roots: an example of the term structure of interest rates, Tuscaloosa, AL, , USA: Working Paper, Department of Economics, Finance and Legal Studies, University of Alabama.  [Google Scholar]) to test the validity of long run Purchasing Power Parity (PPP) to assess the nonstationary properties of the real exchange rate for 20 African countries. 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 indicate that PPP holds true for almost African countries. Our findings point out their exchange rate adjustment is mean reversion towards PPP equilibrium values in a nonlinear way.     

Market efficiency,purchasing power parity,and the official and parallel markets for foreign currency in Latin America

This paper examines the purchasing power parity (PPP) theory from a long-run perspective in the presence of a parallel or ‘black’ market for U.S. dollars in four Latin American countries, namely Argentina, Brazil, Chile, and Mexico, using monthly data for the recent float. Johansen's full information maximum likelihood multivariate cointegration technique is applied. Recent developments associated with this procedure are considered. First, a formal test developed by Johansen [Econometric Theory 8 (1992) 188, Econometric Theory 11 (1995) 25, Scand. J. Stat. 24 (1997) 433] for the presence of I(2) and I(1) components in a multivariate context is applied along with the estimation of the roots of the companion matrix for the correct determination of the cointegration rank. Second, given that two significant cointegration vectors were found for any country, structural restrictions identifying the long-run relations of interest are specified as proposed by Johansen and Juselius [J. Econometrics 63 (1994) 7] and Johansen [J. Econometrics 69 (1995) 111]. Thus, the joint structure of PPP and long-run informational market efficiency could not be rejected for all countries. Furthermore, estimation of the error correction terms shows that the black market rate adjusts to eliminate any deviation from long-run PPP. Finally, stability tests proposed by Hansen and Johansen [Hansen, H., & Johansen, S. (1993). Recursive estimation in cointegrated VAR-models. Working Paper, University of Copenhagen, Institute of Mathematical Statistics; Econometrics J. 2 (1999) 306] are applied and it is shown that the dimension of the cointegration space is sample dependent while the estimated coefficients do not exhibit instability in recursive estimations.     

Spectrum allocation in Latin America: An economic analysis

As elsewhere, wireless markets play a crucial role in Latin American economic growth. Mobile telephone networks increasingly provide the communications infrastructure that has largely been lacking throughout the region. Yet, governments have generally made only modest allocations of bandwidth available to Latin American wireless operators, either absolutely (in terms of spectrum each country could allocate at modest opportunity cost) or relative to countries in North America, Asia and the European Union. Using an empirical model estimated on mobile phone data for international markets, we show that very large social benefits are available to countries that make more spectrum available for mobile phone markets. We conduct simulations using our calibrated model to provide lower bounds for country-by-country gains from larger allocations. We also discuss the impact of alternative regulatory regimes on the feasibility to achieve those social gains.     

Instability in short-run adjustments to purchasing power parity: results for selected Latin American countries

According to the theory of purchasing power parity (PPP), there is a tendency toward equalization of different countries' price levels in common-currency terms. However, even assuming that a long-run PPP relationship exists, its relevance for policy makers in less developed countries (LDCs) will depend not only on the average speed of adjustment toward this relationship but also on the variability of such short-run adjustments. We present evidence of extreme volatility in adjustments toward PPP for four Latin American countries, based on time-varying-parameter estimates of error-correction models.     

拉美国家汇率制度选择及其成本-收益分析

1999年1月,阿根廷政府宣布其考虑将其经济美元化,此后,拉美国家出现了美元化趋势。美元化是拉美国家汇率制度的次优选择,且预示着国际汇率制的发展方向。对拉美美元化国家来说,美元化有利有弊,但利大于弊。     

Revisiting purchasing power parity in G6 countries: an application of smooth time-varying cointegration approach

This study revisits purchasing power parity (PPP) for the G6 countries (i.e., Canada, Italy, Japan, France, Germany, the UK) using smooth time-varying cointegrating approach, proposed by Park and Hahn (Econom Theory 15:664–703, 1999). Using monthly data over the 1971M1–2013M12 period, our empirical results indicate that PPP holds in two out of six countries (i.e., France and Germany).     

An empirical test of purchasing power parity in selected developing countries: a panel data approach

Abstract

This paper examines the empirical validity of Purchasing Power Parity (PPP) for certain large developing economies by using a panel unit root methodology. The test results show that a long run real exchange rate depreciation trend exists in certain developing countries. Without considering this depreciation trend, it is hard to verify the stationarity and to explain the existence of the extremely long half-lives of the real exchange rates. When a linear time trend is included in the tests, the results tend to support the stationarity of the underlying real exchange rate processes, and the half-lives are significantly shorter and their range can be explained by transitory disturbances.     

A wavelet-based panel unit-root test in the presence of an unknown structural break and cross-sectional dependency,with an application of purchasing power parity theory in developing countries

This article introduces two different non-parametric wavelet-based panel unit-root tests in the presence of unknown structural breaks and cross-sectional dependencies in the data. These tests are compared with a previously suggested non-parametric wavelet test, the parameteric Im-Pesaran and Shin (IPS) test and a Wald type of test. The results from the Monte Carlo simulations clearly show that the new wavelet-ratio tests are superior to the traditional tests both in terms of size and power in panel unit-root tests because of its robustness to cross-section dependency and structural breaks. Based on an empirical Central American panel application, we can, in contrast to previous research (where bias due to structural breaks is simply disregarded), find strong, clear-cut support for purchasing power parity (PPP) in this developing region.     

The future of the future: Strategic foresight in Latin America

With few differences in timing, future studies in Latin America were initiated with a linear conception of reality. Orchestrated with techniques such as the Delphi, future studies were supported by mathematical principles of probability. Several countries have surpassed this stage while moving into strategic foresight. Strategic foresight analyzes the future as a multiple reality. In other words, it means thinking differently and not reading reality in a linear manner. It means accepting that there is not one future but several futures and that one question could have more than one answer.This change has demanded a shift in mentality. The presence of the disciplines in universities is of vital importance. For example, the Technological Institute of Monterrey (Mexico) and the Universidad Externado de Colombia (Bogota) offer foresight and strategy programs at the graduate level.This article describes how different individuals, groups, agencies and institutions in Latin America have emerged thanks to the support provided by the science and technology governmental agencies of each country. The author provides examples from different countries including Colombia, Brazil, Chile and Mexico. Currently, strategic foresight is slowly gaining recognition and acceptance as a compass for productive sectors and as a generator of competitiveness.However, despite the contributions of strategic foresight, Latin American countries, with the exception of some of the above-mentioned countries, have struggled to take off into the future. The role of strategic foresight can become the driving force behind this awakening, if the challenge of linking global trends with local contextualization through scenarios is accepted.     

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.     

Wealth in Latin America: Evidence from Chile,Colombia, Mexico and Uruguay

Drawing on recently-available microdata from financial surveys, this paper presents harmonized indicators for household wealth, its components, and its determinants in four Latin American countries (Chile, Colombia, Mexico and Uruguay), using Spain as a comparison benchmark. The paper analyzes the relationship between wealth indicators and sociodemographic characteristics of household heads (age, education, gender, marital status). For Uruguay, we are also able to analyze wealth patterns and intergenerational mobility (inheritance, family businesses and parental education).     

A switching ARCH (SWARCH) model of stock market volatility: some evidence from Latin America

We use the Markov regime-switching ARCH (SWARCH) model of Hamilton and Susmel (J Econometrics 64:307–333, 1994) to document the presence of high volatility regimes in six Latin American countries (Argentina, Brazil, Chile, Mexico, Peru, and Venezuela). We found four high volatility episodes, each associated to either a local (the Mexican crisis of 1994, the Brazilian crisis of 1998–1999, the Argentinean crisis of 2001–2002) or a worldwide financial crisis (the Asian financial crisis of 1997). However, we found that the effects of each financial crisis are short-lived and that between 2 and 4 months after each crisis, all markets return to low volatility regimes.