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Journal Article
Risk, uncertainty separately cloud global growth forecasting
Forecasts of global growth have historically been imprecise, punctuated by periods of optimism and pessimism. Inaccuracy in forecasting partly reflects quantifiable risks to the global outlook as well as economic uncertainty.
Working Paper
Variable Selection in High Dimensional Linear Regressions with Parameter Instability
This paper is concerned with the problem of variable selection when the marginal effects of signals on the target variable as well as the correlation of the covariates in the active set are allowed to vary over time, without committing to any particular model of parameter instabilities. It poses the issue of whether weighted or unweighted observations should be used at the variable selection stage in the presence of parameter instability, particularly when the number of potential covariates is large. Amongst the extant variable selection approaches, we focus on the One Covariate at a time ...
Working Paper
A Counterfactual Economic Analysis of COVID-19 Using a Threshold Augmented Multi-Country Model
This paper develops a threshold-augmented dynamic multi-country model (TG-VAR) to quantify the macroeconomic effects of COVID-19. We show that there exist threshold effects in the relationship between output growth and excess global volatility at individual country levels in a significant majority of advanced economies and in the case of several emerging markets. We then estimate a more general multi-country model augmented with these threshold effects as well as long-term interest rates, oil prices, exchange rates and equity returns to perform counterfactual analyses. We distinguish common ...
Working Paper
Aggregation in large dynamic panels
This paper investigates the problem of aggregation in the case of large linear dynamic panels, where each micro unit is potentially related to all other micro units, and where micro innovations are allowed to be cross sectionally dependent. Following Pesaran (2003), an optimal aggregate function is derived and used (i) to establish conditions under which Granger's (1980) conjecture regarding the long memory properties of aggregate variables from "a very large scale dynamic, econometric model" holds, and (ii) to show which distributional features of micro parameters can be identified from ...
Working Paper
A simple model of price dispersion
This article considers a simple stock-flow matching model with fully informed market participants. Unlike in the standard matching literature, prices are assumed to be set ex-ante. When sellers pre-commit themselves to sell their products at an advertised price, the unique equilibrium is characterized by price dispersion due to the idiosyncratic match payoffs (in a marketplace with full information). This provides new insights into the price dispersion literature, where price dispersion is commonly assumed to be generated by a costly search of uninformed buyers.
Working Paper
How have global shocks impacted the real effective exchange rates of individual Euro area countries since the Euro's creation?
This paper uncovers the response pattern to global shocks of euro area countries' real effective exchange rates before and after the start of Economic and Monetary Union (EMU), a largely open ended question when the euro was created. We apply to that end a newly developed methodology based on high dimensional VAR theory. This approach features a dominant unit to a large set of over 60 countries' real effective exchange rates and is based on the comparison of two estimated systems: one before and one after EMU. ; We find strong evidence that the pattern of responses depends crucially on the ...
Working Paper
Time-varying Persistence of House Price Growth: The Role of Expectations and Credit Supply
High persistence is a prominent feature of price movements in U.S. housing markets, i.e., house prices grow faster this period if they grew faster last period. This paper provides two additional new insights to the literature on U.S. house price movements. First, there exists a significant time variation in the persistence of house price growth, both at the national and city level. Second, there is considerable heterogeneity in the time-varying persistence across different regions, particularly in areas that were historically less persistent, such as the capital-poor regions in the Midwest ...
Working Paper
Debt, inflation and growth robust estimation of long-run effects in dynamic panel data models
This paper investigates the long-run effects of public debt and inflation on economic growth. Our contribution is both theoretical and empirical. On the theoretical side, we develop a cross-sectionally augmented distributed lag (CS-DL) approach to the estimation of long-run effects in dynamic heterogeneous panel data models with cross-sectionally dependent errors. The relative merits of the CS-DL approach and other existing approaches in the literature are discussed and illustrated with small sample evidence obtained by means of Monte Carlo simulations. On the empirical side, using data on a ...
Working Paper
Voluntary and Mandatory Social Distancing: Evidence on COVID-19 Exposure Rates from Chinese Provinces and Selected Countries
This paper considers a modification of the standard Susceptible-Infected-Recovered (SIR) model of epidemics that allows for different degrees of compulsory as well as voluntary social distancing. It is shown that the fraction of the population that self-isolates varies with the perceived probability of contracting the disease. Implications of social distancing both on the epidemic and recession curves are investigated and their trade off is simulated under a number of different social distancing and economic participation scenarios. We show that mandating social distancing is very effective ...
Working Paper
Mean Group Estimation in Presence of Weakly Cross-Correlated Estimators
This paper extends the mean group (MG) estimator for random coefficient panel data models by allowing the underlying individual estimators to be weakly cross-correlated. Weak cross-sectional dependence of the individual estimators can arise, for example, in panels with spatially correlated errors. We establish that the MG estimator is asymptotically correctly centered, and its asymptotic covariance matrix can be consistently estimated. The random coefficient specification allows for correct inference even when nothing is known about the weak cross-sectional dependence of the errors. This is ...