An adaptive approach to forecasting three key macroeconomic variables for transitional China

The macroeconomic forecasts for emerging economies often suffer from the constraints of instability and limited data. In light of these constraints, we propose the use of a local autoregressive (LAR) model with a data-driven estimation window, i.e., a local homogenous interval, that is adaptively identified to strike a balance between information efficiency and stability. When applied to three key macroeconomic variables of China, the LAR model substantially outperforms the alternative models for various forecast horizons of 3 to 12 months, with forecast error reductions of between 4% and 64% for the IP growth, and between 1% and 68% for the inflation rate. The one-quarter ahead performance of the LAR model matches that of a well-known survey forecast. The patterns of the identified local intervals also coincide with the characteristic evolution of the gradual reforms and monetary policy shifts in China. In short, the LAR model is suitable for not only forecasting, but also the real-time monitoring of the effects of regime and policy changes in emerging economies.     

Forecasting South African macroeconomic variables with a Markov-switching small open-economy dynamic stochastic general equilibrium model

This paper seeks to identify evidence of regime-switching behaviour in the monetary policy response function and the variance of the shocks. It makes use of various specifications of a small open-economy Markov-switching dynamic stochastic general equilibrium model that is applied to South African data from 1989 to 2014. While the in-sample statistics suggest that some of the regime-switching models may provide superior results, the out-of-sample statistics suggest that the inclusion of various forms of regime-switching does not significantly improve upon the forecasting performance of the model. The results also suggest that the central bank response function has been consistently applied over the sample period.     

A small-scale DSGE-VAR model for the Romanian economy

This paper describes the theoretical structure and the estimation results for a DSGE-VAR model for the Romanian economy, an inflation targeting country since 2005. Having as benchmark the New-Keynesian model of Rabanal and Rubio-Ramirez (2005), the main additional feature introduced refers to the extension to a small open economy setting in order to account for this specific aspect of the Romanian economy.Within the inflation targeting monetary policy regime, forecasts of central macro variables, inflation in particular, play an important part. Because inflation reacts to monetary measures with a considerable lag, the central bank's policy has to be forward-looking. Based on univariate measures of forecast performance, it is shown that the VAR with DSGE model prior produces forecasts that improve on those obtained using an unrestricted VAR model and the popular Minnesota prior in case of inflation, real exchange rate and nominal interest rate. Moreover, the DSGE-VAR model is informative about the structure of the economy and can help the “story-telling” in the central banks.     

The effects of macroeconomic factors on South African agriculture

Significant research efforts have been devoted to understanding the effects of macroeconomic factors on the agriculture sector. Analysing the sources of volatility in the industry is critical for designing appropriate policies to stabilize agricultural markets, reduce poverty and increase economic growth. Agriculture is a competitive sector with prices that are more flexible than those in nonagricultural sectors. This article uses annual data over the 1957–2004 period and a vector error-correction model in investigating the dynamic effects of exchange rates, money supply and other macroeconomic variables on the agricultural sector in South Africa. Overall, real exchange rates, interest rates, inflation and money supply (M3) shocks have significant and persistent impacts on agricultural output, prices received by farmers and farm input prices. M3 and interest rate shocks tend to put agriculture in a cost-price squeeze. Agricultural price movements are a source of macroeconomic instability in the country. Real exchange rate shocks shift relative prices in favour of agriculture in the long-run, thereby, boosting farm incomes and accelerating poverty reduction in the country.     

The relationship between South Asian stock returns and macroeconomic variables

This article investigates whether economic variables have explanatory power for share returns in South Asian stock markets. In particular, using data for four South Asian emerging stock markets over the period 1998–2012, the article examines the influence of a selection of local, regional and global economic variables in explaining equity returns; most previous studies that have examined this issue have tended to focus on only local and/or global factors. Important factors are identified by distilling the macroeconomic variables into principal components. Economic activities, real interest rates, real exchange rates and the trade balance represent local factors. Regional factors are represented by interregional trade and regional economic activity while global factors are represented by world financial asset returns and world economic activity. The vector autoregression results suggest that the South Asian markets examined are not efficient. Both local and regional factors can directly and indirectly explain Bangladeshi, Pakistani and Sri Lankan stock returns while the lagged returns of the Pakistani stock market and world economic activity can explain Indian stock returns.     

A medium-N approach to macroeconomic forecasting

This paper considers methods for forecasting macroeconomic time series in a framework where the number of predictors, N, is too large to apply traditional regression models but not sufficiently large to resort to statistical inference based on double asymptotics. Our interest is motivated by a body of empirical research suggesting that popular data-rich prediction methods perform best when N ranges from 20 to 40. In order to accomplish our goal, we resort to partial least squares and principal component regression to consistently estimate a stable dynamic regression model with many predictors as only the number of observations, T, diverges. We show both by simulations and empirical applications that the considered methods, especially partial least squares, compare well to models that are widely used in macroeconomic forecasting.     

Causality in EU macroeconomic variables

This article investigates the interdependence of macroeconomics, financial and other variables for European Union countries using a multivariate vector autoregressive (VAR) approach for quarterly data. The VAR analysis is applied to all bivariate cases, and the best fitted models are selected in order to conduct Granger causality testing and impulse response functions. Contrary to the existing literature, this study reveals evidence of a unilateral direction between several cases and ambiguous results regarding Impulse response functions analysis.     

SLOPOL1: A macroeconomic model for Slovenia

This paper presents the specification and estimation of SLOPOL1 (Slovenian Economic Policy Model, Version 1), a macroeconometric model for Slovenia. Since Slovenia became an independent state in 1991, the available time series are very short and unreliable. In order to increase the degrees of freedom, quarterly data are used. The model contains behavioral equations for factor demand, potential gross domestic product, imports, the wage-price system, private consumption and labor supply of households, money and foreign exchange markets, and the public sector. Due to data constraints, the supply side and household consumption have not been further disaggregated. The capability of the model to reproduce the behavior of the endogenous variables in an ex post simulation can be regarded as satisfactory.Work on this model was initiated within the framework of the contract entitled "Austrian-Slovenian Cooperation for an Integrated Energy Program: Development and Implementation of a Macroeconomic Model" between the Slovenian Ministry of Economic Affairs and Verbundplan and financed by the Austrian Federal Chancellery. Later research has been supported by the Austrian Science Foundation under contract P12745-OEK and by the Ludwig Boltzmann Institute for Economic Analysis. Earlier versions of this paper were presented at the Forty-Seventh International Atlantic Economic Conference, March 16–23, 1999, Vienna, Austria, and the Forty-Ninth International Atlantic Economic Conference, March 14–21, 2000, Munich, Germany. The authors are indebted to the participants in these discussions and to Tanja Cesen and Igor Strmsnik for providing data.     

DSGE model-based forecasting of modelled and nonmodelled inflation variables in South Africa

Inflation forecasts are a key ingredient for monetary policy-making – especially in an inflation targeting country such as South Africa. Generally, a typical Dynamic Stochastic General Equilibrium (DSGE) only includes a core set of variables. As such, other variables, for example alternative measures of inflation that might be of interest to policy-makers, do not feature in the model. Given this, we implement a closed-economy New Keynesian DSGE model-based procedure which includes variables that do not explicitly appear in the model. We estimate such a model using an in-sample covering 1971Q2 to 1999Q4 and generate recursive forecasts over 2000Q1 to 2011Q4. The hybrid DSGE performs extremely well in forecasting inflation variables (both core and nonmodelled) in comparison with forecasts reported by other models such as AR(1). In addition, based on ex-ante forecasts over the period 2012Q1–2013Q4, we find that the DSGE model performs better than the AR(1) counterpart in forecasting actual GDP deflator inflation.     

A macroeconomic model of Russian transition

We present a model in which capital assets can only be owned by members of a relatively small politically connected elite (‘the oligarchs’), each member of which faces a given risk of being expropriated, and we investigate the implications of such an imperfection of property rights for the transition to a market economy. At the start of the transition, the oligarchs are long on local capital assets but short on safe deposits abroad. This causes a depression phase characterized by acute liquidity constraints and large capital outflows at the same time. As the oligarchs acquire enough safe deposits, the economy enters a recovery phase, still accompanied by capital outflows. The model can parsimoniously explain both the steep decline suffered by the Russian economy in the first stage of its transition to a market economy and the subsequent turnaround. The decline could be avoided by allowing foreigners to own some domestic capital assets, but home‐country oligarchs may not be able credibly to collectively commit to such a reform.     

A simple model of macroeconomic policy

This paper develops a simple model of macroeconomic policy in which the government minimizes a loss function with inflation and unemployment as arguments, subject to a Phillips curve constraint. The model is solved and a discrete time approximation taken. The model's empirical predictions are derived and some test results are presented.     

A model for forecasting wheat production

A model for forecasting production of wheat considering the effects of irrigation, fertilizer application, high yielding varieties, rainfall, labour and farm machinery is derived. Applicabilitty of this model is tested for Indian conditions and is found satisfactory. Strength and limitations of this model can be applied successfully to other national conditions also. This model has been applied to the prediction of wheat production using two growth relations.     

A stochastic model for technology forecasting

A stochastic model for technology forecasting is proposed. A complete analysis of the model is given and application to a real problem is presented.     

A macroeconomic model for Nigeria, 1958–1974

The Nigerian economy has been modelled with special emphasis on the aggregate demand side. The set of “administered” interest rates have been accommodated in the usual IS/LM analysis, with the extra assumptions that the equilibrium income is attained when the disequilibrating forces in the product and the money markets are equal in magnitude but opposite in signs. The model has been tested with the available data, found to be stable, and indicate, among other things, that an increase in the crude petroleum price would improve the balance of trade barely up to three years and after that, would become adverse.     

A macroeconomic two-country model with price-discriminating monopolists

I am indebted to J. Frijns, R. de Groof, S. Kuipers, F. van der Ploeg, V. Okker, A. van Schaik and two anonymous referees for helpful comments. The usual disclaimer of course applies.     

A macroeconomic model for open economies with pegged exchange rates

Most traditional analyses of the internal-external adjustment problem has been based upon a model with only two assets, money and bonds. In this paper real capital is explicitly introduced. As a logical consequence also the investment function is assumed to be different from standard specifications. With this model the effects of monetary and fiscal policy are then shown to be substantially different from traditional results.     

A generalized model for forecasting technological substitution

This paper presents a generalized mathematical model for forecasting technological substitution under a wide variety of circumstances. Some of the existing models are shown as special cases of the generalized model. Methods are also suggested for improving the reliability of the model by taking corrective measures on the available data and following a step-wise forecasting procedure.     

A generalized logistic model for technological forecasting

Resulting from a predominantly forward-looking behavior of the producers, a generalized logistic model is developed and tested here as an approximation of engineering-design process.     

Causality relationships between macroeconomic variables: An empirical investigation for Austria

Zusammenfasssung Kausalbeziehungen spielten seit jeher eine bedeutende Rolle in der theoretischen Diskussion. Ihr empirischer Nachweis war jedoch lange Zeit hindurch mit Schwierigkeiten verbunden. Wir testen nun in dieser Arbeit Variable aus dem monetären Sektor, das Brutto-national-produkt und zwei seiner wichtigsten Nachfragekomponenten sowie Größen aus dem Bereich Beschäftigung, Preise und Löhne auf mögliche Kausalbeziehungen. Im großen und ganzen lassen sich die von der ökonomischen Theorie unterstellten Zusammenhänge empirisch nachweisen. Des öfteren sind aber die gefundenen Kausalbeziehungen nicht sehr stark, was jedoch auch zum Teil auf die von uns gewählte Untersuchungsmethode zurückgehen dürfte. Es soll allerdings nicht verschwiegen werden, daß derartige Kausalitätstests nur qualitative Information über bestehende Zusammenhänge liefern und folglich für Zwecke der angewandten Wirtschaftsforschung direkt nur begrenzt von Nutzen sind. Die Ergebnisse dieser Tests können aber in einem zweiten Schritt als Ausgangsbasis für die Schätzung von voll parameterisierten Zeitreihenmodellen dienen, die dann unmittelbar für die Erstellung von quantitativen Prognosen herangezogen werden können.     

Antidumping decisions and macroeconomic variables in the USA

This paper investigates the macroeconomic factors that explain antidumping decisions in the US International Trade Commission. Johansen's cointegration test results show that there is a long run equilibrium relationship between growth of the percentage of affirmative antidumping decisions and trade balance. The error correction model shows that there is a causality running from the latter to the former. Growth of the percentage of affirmative antidumping decisions is revealed to cause slowdown in economic growth. Partisan characteristics are observed in the Commissioners' antidumping decisions.