Nowcasting norwegian GDP: the role of asset prices in a small open economy

This article finds that asset prices on Oslo Stock Exchange is the single most important block of data to improve estimates of current quarter GDP in Norway. We use an approximate dynamic factor model that is able to handle new information as it is released, thus the marginal impact on mean square nowcasting error can be studied for a large number of variables. We use a panel of 148 non-synchronous variables. The high informational content in asset prices is explained by reference to the small size of companies on Oslo Stock Exchange and the small and open nature of the Norwegian economy.     

Divisia monetary aggregates and US GDP nowcasting

ABSTRACT

This article nowcasts US quarterly real GDP growth rate with dynamic factor model (DFM) using Divisia Monetary Aggregate Index, Divisia M1, M2, M3, and exploits information from a large, unbalanced panel data. GDP nowcasting is evaluating the current quarter GDP given the available economic data up to the point when the nowcasting is conducted. GDP data is published quarterly with a substantial lag, while many monetary and financial decisions are made at a higher frequency. Therefore, nowcasting GDP has become an increasingly important task for central banks. This article uses DFM to nowcast GDP, compares the nowcasting results from DFM with the simple sum monetary aggregate M1, M2, M3, to the Model with weighted corresponding Divisia Index, then calculates the contributions of the Divisia Monetary index to US GDP nowcasting.     

A nowcasting model for Ecuador: Implementing a time-varying mean output growth

We propose a model to nowcast the annual growth rate of real GDP for Ecuador, whose economy lacks timely macroeconomic information for some key variables and has gone through unstable periods due to its dependence on oil exports. Our specification combines monthly information for 30 macroeconomic and financial variables with quarterly information for real GDP in a mixed-frequency approach. Our setup includes a time-varying coefficient on the mean annual growth rate of output to allow the model to incorporate prolonged periods of low or high growth. The model produces more accurate nowcasts of real output growth in pseudo out-of-sample exercises than a nowcasting model that assumes a constant mean real GDP growth rate. We also conduct sensitivity analyses on our nowcasting model within the time-varying mean setup and find that including financial variables can be detrimental to the performance of the proposed model.     

Do long-term interest rates drive GDP and inflation in small open economies? Evidence from Poland

This article investigates the impact of long-term interest rates on macroeconomic variables in a small open economy. It shows that the time-varying term premium stabilizes GDP without affecting significantly inflation volatility in Poland – a typical open economy with flexible exchange rate. This conclusion is drawn from an estimated dynamic stochastic general equilibrium model in which segmented asset markets and imperfect asset substitutability give rise to the time-varying term premium in the long-term interest rate. Furthermore, the impulse response analysis of the model reveals that the term premium stabilizes GDP when the small economy is hit by shocks that are absent in closed economy models (country risk premium and export preference) which points to the different impact of the term premium on relatively close (large) and open (small) economies.     

The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey

This paper introduces a new nowcasting model of the French quarterly real GDP growth rate (MIBA), developed at the Banque de France and based on monthly business surveys. The model is designed to target initial announcements of GDP in a mixed-frequency framework. The selected equations for each forecast horizon are consistent with the time frame of real-time nowcasting exercises: the first one includes mainly information on the expected evolution of economic activity, while the second and third equations rely more on information on observed business outcomes. The predictive accuracy of the model increases over the forecast horizon, consistent with the gradual increase in available information. Furthermore, the model outperforms a wide set of alternatives, such as its previous version and MIDAS regressions, although not a specification including also hard data. Further research should evaluate the performance of the MIBA model with respect to promising alternative approaches for nowcasting GDP (e.g. mixed-frequency factor models with targeted predictors), and consider forecast combinations and density forecasts.     

Nowcasting Key Australian Macroeconomic Variables

Forecasts are relied upon as a guide to what future outcomes for the economy might be. However, it is also important to estimate what is happening in the economy now or has taken place in the recent past. This is where ‘nowcasts’ come in. In this article, I describe what nowcasting is, why it can be a useful tool for macroeconomists as well as present daily nowcasts of key Australian macroeconomic variables, including GDP growth, inflation and the unemployment rate.     

国际贸易与中国的实际经济周期——基于封闭与开放经济的RBC模型比较分析

本文先确定中国宏观经济波动的特征事实:消费波动与产量高度相关、投资波动大于产出的波动、净出口与GDP呈反周期变化。然后分别用封闭经济模型、小国开放经济模型和考虑了政府购买冲击的小国开放经济模型对中国经济进行实证检验。研究发现,封闭经济模型仅能解释产出、消费和投资波动的48.26%、24.39%和98.50%;而小国开放经济模型分别可以解释68.70%、69.51%、98.50%和TB/GDP率的97.42%;考虑了政府购买的小国开放经济模型的解释程度分别是83.91%、81.95%、99.63%和TB/GDP率的209.68%。比较分析表明开放经济模型比封闭经济模型能较好地解释中国的经济现象,并且随着政府购买引入到开放经济模型,该模型对经济的解释能力显著提高,说明这一模型更符合中国经济的特征事实。     

Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)

Governments, central banks, private firms and others need high frequency information on the state of the economy for their decision making. However, a key indicator like GDP is only available quarterly and that too with a lag. Hence decision makers use high frequency daily, weekly or monthly information to project GDP growth in a given quarter. This method, known as nowcasting, started out in advanced country central banks using bridge models. Nowcasting is now based on more advanced techniques, mostly dynamic factor models. In this paper we use a novel approach, a Factor Augmented Time Varying Coefficient Regression (FA-TVCR) model, which allows us to extract information from a large number of high frequency indicators and at the same time inherently addresses the issue of frequent structural breaks encountered in Indian GDP growth. One specification of the FA-TVCR model is estimated using 19 variables available for a long period starting in 2007–08:Q1. Another specification estimates the model using a larger set of 28 indicators available for a shorter period starting in 2015–16:Q1. Comparing our model with two alternative models, we find that the FA-TVCR model outperforms a Dynamic Factor Model (DFM) model and a univariate Autoregressive Integrated Moving Average (ARIMA) model in terms of both in-sample and out-of-sample Root Mean Square Error (RMSE). Further, comparing the predictive power of the three models using the Diebold-Mariano test, we find that FA-TVCR model outperforms DFM consistently. In terms of out-of-sample forecast accuracy both the FA-TVCR model and the ARIMA model have the same predictive accuracy under normal conditions. However, the FA-TVCR model outperforms the ARIMA model when applied for nowcasting in periods of major shocks like the Covid–19 shock of 2020–21.

     

Growth and crisis,unavoidable connection?

Periods of economic boom with rapid credit and GDP growth can be followed by sudden busts. In the presence of financial market imperfections, a simple modification of a neoclassical growth model can fully account for this behavior. I study a growth model for a small open economy where decreasing marginal returns to capital appear after the country has reached a threshold level of development, which is uncertain. Limited enforceability of contracts allows borrowers to default on their debt. Lenders optimally choose to suddenly restrict the supply of credit when the threshold is reached and decreasing marginal returns appear. Borrowers default, and a boom–bust cycle is generated.     

A dynamic factor model for nowcasting Canadian GDP growth

This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data. The model is then used to generate nowcasts, predictions of the recent past and current state of the economy. In a pseudo-real-time setting, we show that the DFM outperforms univariate benchmarks, as well as other commonly used nowcasting models, such as MIDAS and bridge regressions.     

The growth effects of tax rates in the OECD

This paper explores the merits of macro‐ and micro‐based tax rate measures within an open economy “fiscal policy and growth” model. Using annual data for 15 OECD countries we find statistically small, non‐robust long‐run growth effects of macro‐based average tax rates on capital income and consumption, but some evidence for average labour income tax effects. Changes in “micro” marginal income tax rates at both the personal and corporate levels yield statistically robust GDP responses of modest size. Both domestic and foreign corporate taxes appear relevant. In general, tax effects on GDP operate largely via factor productivity rather than factor accumulation.     

Financial frictions and total factor productivity: Accounting for the real effects of financial crises

Financial crises in emerging economies are accompanied by a large fall in total factor productivity. We explore the role of financial frictions in exacerbating the misallocation of resources and explaining this drop in TFP. We build a two-sector model of a small open economy with a working capital constraint on the purchase of intermediate goods. The model is calibrated to Mexico before the 1995 crisis and subjected to an unexpected shock to interest rates. The financial friction generates an endogenous fall in TFP and output and can explain more than half of the fall in TFP and 74 percent of the fall in GDP per worker.     

Debt Policy Rules in an Open Economy

In a small open economy model of endogenous growth with public capital accumulation, we examine the effects of a debt policy rule under which the government must reduce its debt–GDP ratio if it exceeds the criterion level. To sustain public debt at a finite level, the government should adjust public spending rather than the income tax rate. The long‐run debt–GDP ratio should be kept sufficiently low to avoid equilibrium indeterminacy. Under sustainability and determinacy, a tighter (looser) debt rule brings welfare gains when the world interest rate is relatively high (low).     

Bottom-up or direct? Forecasting German GDP in a data-rich environment

In this paper, we investigate whether there are benefits in disaggregating GDP into its components when nowcasting GDP. To answer this question, we conduct a realistic out-of-sample experiment that deals with the most prominent problems in short-term forecasting: mixed frequencies, ragged-edge data, asynchronous data releases and a large set of potential information. We compare a direct leading indicator-based GDP forecast with two bottom-up procedures—that is, forecasting GDP components from the production side or from the demand side. Generally, we find that the direct forecast performs relatively well. Among the disaggregated procedures, the production side seems to be better suited than the demand side to form a disaggregated GDP nowcast.     

Budget consolidation in a small open economy: a case study for Slovenia

In this article, we use the macroeconometric model SLOPOL10 to calculate simulations of the development of the Slovenian economy until 2030. Starting from the present favourable prospects of the European economies, the forecast is very optimistic but it can nevertheless be improved by optimal fiscal policies as calculated using the OPTCON2 algorithm. If a negative shock to world trade of a size comparable to the Great Recession occurs, it will entail a decline in GDP and a slow recovery. In this case, optimal fiscal policies should not act in an expansionary way as the effectiveness of fiscal policy with respect to output and employment is rather limited in a small open economy like Slovenia. Instead, the goal of budget consolidation will call for a more restrictive fiscal policy, at least if the shock is temporary.     

Dynamic model averaging in large model spaces using dynamic Occam׳s window

Bayesian model averaging has become a widely used approach to accounting for uncertainty about the structural form of the model generating the data. When data arrive sequentially and the generating model can change over time, Dynamic Model Averaging (DMA) extends model averaging to deal with this situation. Often in macroeconomics, however, many candidate explanatory variables are available and the number of possible models becomes too large for DMA to be applied in its original form. We propose a new method for this situation which allows us to perform DMA without considering the whole model space, but using a subset of models and dynamically optimizing the choice of models at each point in time. This yields a dynamic form of Occam׳s window. We evaluate the method in the context of the problem of nowcasting GDP in the Euro area. We find that its forecasting performance compares well with that of other methods.     

The Socially Optimal Level of Saving in Australia, 1960-61 to 1994-95

In this paper a model is developed which determines the socially optimal level of saving for a small open economy. The model also determines the socially optimal disposition of saving between domestic capital accumulation and overseas asset accumulation. The model is then applied to the Australian economy for the period 1960-61 to 1994-95. For each year of that period socially optimal levels of saving, investment and the current account of the balance of payments are determined. Two main conclusions emerge. Firstly, while Australia under-saved by an average of 1.7 per cent of GDP from 1974-75 to 1994-95, it over-saved by an average of 5.3 per cent of GDP in the earlier period from 1960-61 to 1973-74. Secondly, Australia did not make optimal use of world capital markets to smooth consumption in the period from 1960-61 to 1994-95; although there is less evidence for this since 1984-85, suggesting that deregulation of capital markets may have facilitated the optimal smoothing of consumption.     

A neoclassical analysis of the Korean crisis

In late 1997, Korea experienced a huge and unusual economic crisis. The three main features of this crisis are the sudden recession, the rapid recovery and a consumption drop as large as the output drop. A large body of literature qualitatively explains the Korean crisis in terms of financial and monetary variables such as exchange rates and interest rates. This paper complements these studies by quantitatively analyzing fluctuations in real macroeconomic variables such as real GDP and consumption. A stochastic small open economy neoclassical model can quantitatively account for the Korean crisis taking TFP and real interest rates as exogenous.     

Predicting UK Business Cycle Regimes

This paper uses logistic regression to construct a one‐quarter ahead prediction model for classical business cycle regimes in the UK. The binary dependent variable is obtained by applying simple mechanical rules to date turning points in quarterly real GDP data from 1963 to 1999. Using a range of real and financial leading indicators, several parsimonious one‐quarter‐ahead models are developed for the GDP regimes, with model selection based on the SIC criterion. A real M4 variable is consistently found to have predictive content. One model that performs well combines this with nominal UK and German short‐term interest rates. The role of the latter emphasises the open nature of the UK economy.     

Openness,growth convergence and China’s development prospects

ABSTRACT

This paper examines China’s long-term growth prospects and the potential drivers of future growth, based on cross-country productivity convergence and China’s featured demographic evolution. In a nonlinear open economy catch-up growth model, per capital GDP growth of the followers depend on that of the leading economy and time varying convergence of the relative per capita GDP. Comparable open economies of China are identified in terms of relative per capita GDP and the historical data of which are used to project China’s trajectory of productivity convergence and then the growth of per capita GDP. Projection shows China’s future GDP growth will gradually descend from 6.6–6.7% (2016–2020) to 2.6–2.7% (2046–2050) in low variant. Predictions under medium and high variants are provided as well. The importance of further opening-up domestic markets, elimination of birth control policies and accumulation of human capital in the process of promoting urbanization are highlighted and have significant implications for the economic restructuring and transformation of China.

Abbreviations: ICRG: International Country Risk Guide; IMF: International Monetary Fund