China is well-placed to avoid the so-called “middle-income trap” and to continue to converge towards the more advanced economies, even though growth is likely to slow from near double-digit rates in the first decade of this millennium to around 7% at the 2020 horizon. However, in order to...

This paper builds a two-country stock-flow consistent model by com- bining a debt-led economy that emits the international reserve currency with an export-led economy. The model has two major implications. First, an initial trade deficit in the debt-led country leads to a perma- nent imbalance...

[This paper reexamines the question of the India's growth takeoff using newer data and time series analysis. By carefully accounting for structural breaks and stationarity issues and using a longer times series, we address the lacuna in previous econometric investigations into the Indian...

Current account deficit has become a common phenomenon in both developed and developing countries. Although there is a plethora of perspective towards the current account deficit-economic growth nexus, there is still no consensus on the impact and direction of causality. This study seeks to...

We propose a useful way to predict building permits in the US, exploiting rich real-time data from web search queries. The time series on building permits is usually considered as a leading indicator of economic activity in the construction sector. Nevertheless, new data on building permits are...

An error correction model of investment in Papua New Guinea is estimated by the Cochrane-Orcutt method. The determinants of investment are found to be the national income, the real interest rate and net capital flows. The government policy of maintaining a low real interest rate encourages...

In this paper we introduce a “power booster factor” for out-of-sample tests of predictability. The relevant econometric environment is one in which the econometrician wants to compare the population Mean Squared Prediction Errors (MSPE) of two models: one big nesting model, and another...

Using Gretl, I apply ARMA, Vector ARMA, VAR, state-space model with a Kalman filter, transfer-function and intervention models, unit root tests, cointegration test, volatility models (ARCH, GARCH, ARCH-M, GARCH-M, Taylor-Schwert GARCH, GJR, TARCH, NARCH, APARCH, EGARCH) to analyze quarterly time...

Macroeconomic data are an important piece of information in decision making for both the public and private sectors in Thailand. However, the release of key macroeconomic data, usually in a lower frequency such as quarterly, is not always in a timely manner. Using the higher frequency data such...

This draft is a summary of the paper entitled: Forecasting Fuel Prices with the Chilean Exchange Rate. In that paper we show that the Chilean exchange rate has the ability to predict the returns of oil prices and of three additional oil-related products: gasoline, propane and heating oil. The...