UK macroeconomic forecasting with many predictors: Which models forecast best and when do they do so?

Block factor methods offer an attractive approach to forecasting with many predictors. These extract the information in these predictors into factors reflecting different blocks of variables (e.g. a price block, a housing block, a financial block, etc.). However, a forecasting model which simply includes all blocks as predictors risks being over-parameterized. Thus, it is desirable to use a methodology which allows for different parsimonious forecasting models to hold at different points in time. In this paper, we use dynamic model averaging and dynamic model selection to achieve this goal. These methods automatically alter the weights attached to different forecasting models as evidence comes in about which has forecast well in the recent past. In an empirical study involving forecasting output growth and inflation using 139 UK monthly time series variables, we find that the set of predictors changes substantially over time. Furthermore, our results show that dynamic model averaging and model selection can greatly improve forecast performance relative to traditional forecasting methods.     

Proximity,networking and knowledge production in Europe: What lessons for innovation policy?

This paper aims at investigating the role of different types of proximity on the technological activity of a region within the context of a knowledge production function, where R&D expenditure and human capital are the main internal inputs. We thus assess to what extent the creation of new ideas in a certain region is enhanced by knowledge flows coming from proximate regions. In particular, we examine in detail different kinds of proximity by combining the usual geographical dimension with the institutional, technological, social and organizational proximity. The analysis is implemented for an ample dataset referring to 276 regions in 29 European countries (EU27 plus Norway, Switzerland) over the last decade. Results show that human capital and R&D are clearly essential for innovative activity with the former being much more effective in driving the production of knowledge. As for the proximity and network effects, we find that technological proximity outperforms the geographic one, whilst a limited role is played by social and organizational networks. As a result, the first policy message is that European regions still need to focus on policies aimed at increasing the endowments of well-educated labour force and therefore their knowledge base. Furthermore, we need innovation policies based on each region's specific innovation potential, due to the existing differences in geographical, cognitive, institutional, social and organizational structures and networks.     

Can micro-credit bring development?

We examine the long-run effects of micro-credit on development in an occupational choice model similar to Banerjee and Newman (JPE, 1993). Micro-credit is modeled as a pure improvement in the credit market that opens up self-employment options to some agents who otherwise could only work for wages or subsist. Micro-credit can either raise or lower long-run GDP, since it can lower use of both subsistence and full-scale industrial technologies. It typically lowers long-run inequality and poverty, by making subsistence payoffs less widespread. Thus, an equity-efficiency tradeoff may be involved in the promotion of micro-credit. However, in a worst case scenario, micro-credit has purely negative long-run effects. The key to micro-credit's long-run effects is found to be the “graduation rate”, defined as the rate at which the self-employed build up enough wealth to start full-scale firms. We distinguish between two avenues for graduation: “winner” graduation (of those who earn above-average returns in self-employment) and “saver” graduation (due to gradual accumulation of average returns in self-employment). Long-run development is not attainable via micro-credit if “winner” graduation is the sole avenue for graduation. In contrast, if the saving rate and self-employment returns of the average micro-borrower are jointly high enough, then micro-credit can bring an economy from stagnation to full development through “saver” graduation. Thus the lasting effects of micro-credit may partially depend on simultaneous facilitation of micro-saving. Eventual graduation of the average borrower, rather than indefinite retention, should be the goal of micro-banks if micro-credit is to be a stepping stone to broad-based development rather than at best an anti-poverty tool.     

Has US inflation really become harder to forecast?

Since the mid-1980s, Phillips curve forecasts of US inflation have been inferior to those of a conventional causal autoregression. However, little change in forecast accuracy is detected against the benchmark of a noncausal autoregression, more accurately characterizing US inflation dynamics.     

Inflation and economic growth in Latin America: Some panel time-series evidence

In this paper we investigate the role of macroeconomic performance, mainly in terms of rates of inflation, in determining economic growth in four Latin American countries which suffered hyperinflationary bursts in the 1980s and early 1990s, but that also differ in terms of development levels. The data set covers the period between 1970 and 2007, and the empirical results, based on panel time-series data and analysis, confirm the anecdotal evidence which suggests that inflation has had a detrimental effect to growth in the region. All in all, we highlight the fact that excessive inflation has clearly offset the Mundell–Tobin effect and consequently the high costs that inflation has had on economic activity in the region.     

GROWTH AND CYCLES, IN THE MODE OF MARX AND SCHUMPETER

I propose a theory of endogenous growth and cycles under competitive conditions. Firms choose how many workers to hire, how much to invest, and which technologies to use. New capacity, embodying labor-saving technologies, is costlier than old one but allows for a lower wage bill. The interaction between labor-saving innovations and changes in the relative price of labor is the source of growth cycles.     

The choice of a foreign price measure in a Bayesian estimated new-Keynesian model for Israel

We estimate a small DSGE model by full information Bayesian techniques on the basis of Israeli data from 1995 to 2006. The model was first developed and estimated by means of classical GMM in Argov and Elkayam (2010), and since then it has been used at the Bank of Israel for monetary policy analysis. It is widely believed that in 2007 (out of sample year) as elsewhere worldwide, inflation rose in Israel due to high commodity prices in global markets. However, our baseline model attributes most of the high inflation in 2007 to supply shocks. One conjecture is that this model's result derives from the inappropriate original use of the unit value of imported consumer goods (which do not include unprocessed food and energy) as the main foreign price measure. We test this conjecture by re-estimating the model with various other foreign price measures that typically do reflect the global rise in commodity prices and compare the log-marginal likelihoods. We find that no other price measure outperforms the original choice in the sample period. Only the foreign trade-weighted CPI equals the performance of the original choice while improving the 2007 interpretation of inflation, and should therefore be considered the main foreign price measure. The proposed methodology for comparing the suitability of alternative measures for observable variables can be applied to any model with exogenous variables that are characterized by univariate equations.     

Intergenerational mobility and macroeconomic history dependence

A large literature on ‘endogenous inequality’ has argued that persistent differences in macroeconomic performance across countries can be explained by historical inequality, owing to indivisibilities in occupational choice and borrowing constraints. These models are characterized by homogenous agents, a continuum of steady states (SSs) and lack of mobility in every SS. We show that introducing (even a little) heterogeneity in order to generate SS mobility shrinks the SS set dramatically. Mobile SSs are generically locally unique and finite in number. Sufficient conditions for global uniqueness and convergence of competitive equilibrium dynamics are provided.     

Knightian decision theory and econometric inferences

An uncertainty averse Knightian decision maker has a set of probability distributions over outcomes and chooses something other than the status quo only if the change increases the expected payoff according to all the distributions. It is possible to define a standardized degree of uncertainty aversion. To each such degree, there corresponds a set of prior distributions over the parameters of a Gaussian linear regression model, these priors being centered on a uniform prior. The set of posterior means corresponding to this set of priors has the same properties as a standard confidence region.     

UNEMPLOYMENT PERSISTENCE AND THE NAIRU: A BAYESIAN APPROACH

This paper estimates the United States and euro area NAIRU in a Bayesian framework. We set out a simple structural model explaining unemployment by demand and supply factors, which are treated as unobserved variables that have observable effects on measured unemployment, output and inflation. The model allows for unemployment persistence and a time-varying core inflation rate. The results show that although cyclical shocks are very persistent, most of the increase in European unemployment is driven by structural factors. The degree of persistence is lower in the United States but demand shocks seem to be more important in explaining variation in unemployment.     

THE MECHANICS OF ECONOMIC GROWTH THROUGH CAPITAL ACCUMULATION AND TECHNOLOGICAL PROGRESS*

This study develops a model wherein capital is used in final goods production and research and development (R&D) activities. This arrangement generates changes of the equilibrium capital allocation corresponding to capital endowment, which engenders a regime change from capital based growth with decreasing returns to R&D based perpetual growth. These two growth phases account for the polarization of economies. The model also engenders multiple equilibria on capital allocation—which emerge during the middle stages of capital accumulation—accounting for leapfrogging and the instability of the economic growth of developing countries with medium capital accumulation.     

Bayesian estimation of the output gap for a small open economy: The case of Canada

We introduce a novel approach for estimating output gaps for small open economies. Identification is based on a multivariate trend-cycle decomposition in which transitory exchange rate movements are linked to the output gap and inflation. The model is then applied to Canadian data.     

Distribution and development in a model of misgovernance

This paper presents an analysis of bureaucratic corruption, income inequality and economic development. The analysis is based on a dynamic general equilibrium model in which bureaucrats are appointed by the government to implement a redistributive programme of taxes and subsidies designed to benefit the poor. Corruption is reflected in bribery and tax evasion as bureaucrats conspire with the rich in providing false information to the government. In accordance with empirical evidence, the model predicts a positive relationship between corruption and inequality, and a negative relationship between corruption and development.