The Macroeconomic Effects of Fiscal Policy

We investigate the macroeconomic effects of fiscal policy using a Bayesian Structural Vector Autoregression approach. We build on a recursive identification scheme, but we: (i) include the feedback from government debt (ii); look at the impact on the composition of output; (iii) assess the effects on asset markets (via housing and stock prices); (iv) add the exchange rate; (v) assess potential interactions between fiscal and monetary policy; (vi) use quarterly data, particularly, fiscal data; and (vii) analyze empirical evidence from the U.S., the U.K., Germany, and Italy. The results show that government spending shocks, in general, have a small effect on GDP; lead to important “crowding-out” effects; have a varied impact on housing prices and generate a quick fall in stock prices; and lead to a depreciation of the real effective exchange rate. Government revenue shocks generate a small and positive effect on both housing prices and stock prices that later mean reverts; and lead to an appreciation of the real effective exchange rate. The empirical evidence also shows that it is important to explicitly consider the government debt dynamics in the model.fiscal policy, Bayesian Structural VAR, debt dynamics.

Asset prices, exchange rates and the current account

This paper analyses the role of asset prices in comparison to other factors, in particular exchange rates, as a driver of the US trade balance. It employs a Bayesian structural VAR model that requires imposing only a minimum of economically meaningful sign restrictions. We find that equity market shocks and housing price shocks have been major determinants of the US current account in the past, accounting for up to 32% of the movements of the US trade balance at a horizon of 20 quarters. By contrast, shocks to the real exchange rate have been much less relevant, explaining less than 7% and exerting a more temporary effect on the US trade balance. Our findings suggest that sizeable exchange rate movements may not necessarily be a key element of an adjustment of today's large current account imbalances, and that in particular relative global asset price changes could be a more potent source of adjustment.Asset pricing ; Foreign exchange rates ; Balance of trade

Asset prices, exchange rates and the current account

This paper analyses the role of asset prices in comparison to other factors, in particular exchange rates, as a driver of the US trade balance. It employs a Bayesian structural VAR model that requires imposing only a minimum of economically meaningful sign restrictions. We find that equity market shocks and housing price shocks have been major determinants of the US current account in the past, accounting for up to 32% of the movements of the US trade balance at a horizon of 20 quarters. By contrast, shocks to the real exchange rate have been much less relevant, explaining less than 7% and exerting a more temporary effect on the US trade balance. Our findings suggest that sizeable exchange rate movements may not necessarily be a key element of an adjustment of today's large current account imbalances, and that in particular relative global asset price changes could be a more potent source of adjustment. JEL Classification: F32, F40, C30Bayesian VAR, current account, Exchange Rates, global imbalances, sign restrictions

The Macroeconomic Effects of Fiscal Policy

We investigate the macroeconomic effects of fiscal policy using a Bayesian Structural Vector Autoregression approach. We build on a recursive identification scheme, but we: (i) include the feedback from government debt (ii); look at the impact on the composition of output; (iii) assess the effects on asset markets (via housing and stock prices); (iv) add the exchange rate; (v) assess potential interactions between fiscal and monetary policy; (vi) use quarterly data, particularly, fiscal data; and (vii) analyze empirical evidence from the U.S., the U.K., Germany, and Italy. The results show that government spending shocks, in general, have a small effect on GDP; lead to important “crowding-out” effects; have a varied impact on housing prices and generate a quick fall in stock prices; and lead to a depreciation of the real effective exchange rate. Government revenue shocks generate a small and positive effect on both housing prices and stock prices that later mean reverts; and lead to an appreciation of the real effective exchange rate. The empirical evidence also shows that it is important to explicitly consider the government debt dynamics in the model.fiscal policy; Bayesian Structural VAR; debt dynamics.

What drives urban consumption in mainland China? The role of property price dynamics

This paper adds to the literature on wealth effects on consumption by disentangling house price effects on consumption for mainland China. In a stochastic modelling framework, the riskiness, rate of increase and persistence of house price movements have different implications for the consumption/housing ratio. We exploit the geographical variation in property prices by using a quarterly city-level panel dataset for the period 1998Q1 – 2009Q4 and rely on a panel error correction model. Overall, the results suggest a significant long run impact of property prices on consumption. They also broadly confirm the predictions from the theoretical model.consumption; house prices; China; panel data

Passing the buck: impacts of commodity price shocks on local outcomes

AbstractThe extent to which exogenous international agricultural price fluctuations are internalised by rural communities is of major interest for policy-makers concerned with regional economic performance. So too is the link between rural sector performance and urban outcomes, especially in agriculturally-based economies. Through vector autoregressive (VAR) modelling we estimate the causal effect of exogenous commodity price innovations on both rural and urban community outcomes. Our analysis demonstrates that restricting the focus to national effects may lead to incorrect inference. We therefore extend the analysis to a VAR using panel data covering all New Zealand districts over 1991–2011. House prices and housing investment are used as quarterly indicators of regional economic and population outcomes. By exploiting the variation in production bundles across communities we find that an increase in commodity prices leads to a permanent increase in housing investment and house prices across the country. However, we find that rural communities are relatively insulated from commodity price shocks, whereas urban areas are most affected by commodity price shocks. We discuss the reasons why this paradoxical result may arise

The new keynesian approach to dynamic general equilibrium modeling: models, methods, and macroeconomic policy evaluation

This chapter aims to provide a hands-on approach to New Keynesian models and their uses for macroeconomic policy analysis. It starts by reviewing the origins of the New Keynesian approach, the key model ingredients and representative models. Building blocks of current-generation dynamic stochastic general equilibrium (DSGE) models are discussed in detail. These models address the famous Lucas critique by deriving behavioral equations systematically from the optimizing and forward-looking decision-making of households and firms subject to well-defined constraints. State-of-the-art methods for solving and estimating such models are reviewed and presented in examples. The chapter goes beyond the mere presentation of the most popular benchmark model by providing a framework for model comparison along with a database that includes a wide variety of macroeconomic models. Thus, it offers a convenient approach for comparing new models to available benchmarks and for investigating whether particular policy recommendations are robust to model uncertainty. Such robustness analysis is illustrated by evaluating the performance of simple monetary policy rules across a range of recently-estimated models including some with financial market imperfections and by reviewing recent comparative findings regarding the magnitude of government spending multipliers. The chapter concludes with a discussion of important objectives for on-going and future research using the New Keynesian framework