Methodological advances in the assessment of equilibrium exchange rates

This paper reviews three different concepts of equilibrium exchange rates that are widely used in policy analysis and constitute the backbone of the IMF CGER assessment: the Macroeconomic Balance, the External Sustainability and the reduced form approaches. We raise a number of econometric issues that were previously neglected, proposing some methodological advances to address them. The first issue relates to the presence of model uncertainty in deriving benchmarks for the current account, introducing Bayesian averaging techniques as a solution. The second issue reveals that, if one considers all the sets of plausible identification schemes, the uncertainty surrounding export and import exchange rate elasticities is large even at longer horizons. The third issue discusses the uncertainty associated to the estimation of a reduced form relationship for the real exchange rate, concluding that inference can be improved by panel estimation. The fourth and final issue addresses the presence of strong and weak cross section dependence in panel estimation, suggesting which panel estimators one could use in this case. Overall, the analysis puts forward a number of innovative solutions in dealing with the large uncertainties surrounding equilibrium exchange rate estimates. JEL Classification: F31, F32, F41current account, Equilibrium exchange rates, global imbalances, IMF CGER methodologies, trade elasticities

Long-run real exchange rate changes and the properties of the variance of k-differences

Engel (1999) computes the variance of k-differences for each time horizon us- ing the method of Cochrane (1988) in order to measure the importance of the traded goods component in U.S. real exchange rate movements. The importance of traded goods should decrease as the horizon increases if the law of one price holds for traded goods in the long run. However, Engel ?nds that the variance of k-di¤erences decreases only initially and then increases as k approaches the sample size. He interpets the increasing variance as evidence of an increase in the long-run importance of the traded goods component. By contrast, we show that the variance of k-di¤erences tends to return to the initial value as k approaches the sample size whether the variable is stationary or unit root nonstationary. Our results imply that the increasing variances for k-values close to the sample size cannot be inter- preted as evidence of an increase in the importance of the traded goods component in the long run. We ?nd that our test results regarding the variance of k-di¤erences are consistent with smaller importance of the traded goods component in the longer run.Real exchange rate, Variance ratio, Traded and nontraded goods

Bayesian inference in time series

Time Series

Why Plant-Level Productivity Studies are Often Misleading, and an Alternative Approach to Interference

Applied economists often wish to measure the effects of managerial decisions or policy changes on plant-level productivity patterns. But plant-level data on physical quantities of output, capital, and intermediate inputs are usually unavailable. Therefore, when constructing productivity measures, most analysts proxy these variables with real sales revenues, depreciated capital spending, and real input expenditures. The first part of this paper argues that the resultant productivity indices have little to do with technical efficiency, product quality, or contributions to social welfare. Nonetheless, they are likely to be correlated with policy shocks and managerial decisions in misleading ways. The second part of the paper develops an alternative approach to inference. Using Steven Berry's (1994, RAND Journal) representation of equilibrium in a differentiated product market, we show how to impute each plant's unobserved marginal costs and product quality from its observed revenues and costs, and how to use this mapping to calculate plant-specific welfare-based performance measures. (Bayesian estimation techniques are required because the vector of unknown parameters is under-identified.) The final part of the paper demonstrates our methodology using panel data on Colombian pulp and paper plants.

The Formation of Risk Sharing Networks.

This paper examines the formation of risk sharing networks in the rural Philippines. We find that geographic proximity–possibly correlated with kinship–is a major determinant of mutual insurance links among villagers. Age and wealth differences also play an important role. In contrast, income correlation and differences in occupation are not determinants of network links. Reported network links have a strong effect on subsequent gifts and loans. Gifts between network partners are found to respond to shocks and to differences in health status. From this we conclude that intra-village mutual insurance links are largely determined by social and geographical proximity and are only weakly the result of purposeful diversification of income risk. The paper also makes a methodological contribution to the estimation of dyadic models.partage du risque; modèle dyadique; dyadic model; Philippines; Network; risk-sharing; Réseau;

Verifying exchange rate regimes

Credibility and transparency are at the core of the current debate about exchange rate regimes. The steady growth in the magnitude and variability of international capital flows has complicated the question of whether to use floating, fixed, or intermediate exchange rate regimes. Emerging market economies are abandoning basket pegs, crawling pegs, bands, adjustable pegs, and various combinations of these. One of several reasons intermediate regimes have fallen out of favor is that they are not transparent; it is very difficult to verify them. Verifiability is a concrete example of the principle of"transparency"so often invoked in discussions of the new international financial architecture but so seldom made precise. A simple peg or a simple float may be easier for market participants to verify than a more complicated intermediate regime. The authors investigate how difficult it is for investors to verify from observable data whether the authorities are in fact following the exchange rate regime they claim to be following. Of the various intermediate regimes, they focus on basket pegs with bands. Statistically, it can take a surprisingly long span of data for an econometrician or investor to verify whether such a regime is actually in operation. The authors find that verification becomes more difficult as the regime's bands widen or more currencies enter the basket peg. At the other extreme, they also analyze regimes described as the regime's bands widen or more currencies enter the basket peg. At the other extreme, they also analyze regimes described as free floating and find that in some cases the observed exchange rate data do validate the announced regime.Payment Systems&Infrastructure,Economic Theory&Research,Environmental Economics&Policies,Fiscal&Monetary Policy,ICT Policy and Strategies,Fiscal&Monetary Policy,Economic Theory&Research,ICT Policy and Strategies,Economic Stabilization,Macroeconomic Management

PPP, RANDOM WALKS, AND UIP AFTER INTEREST RATE LIBERALISATION IN A SMALL DEVELOPING ECONOMY

This paper investigates the impact of interest rate liberalisation on exchange rate expectations in the Dominican Republic (DR). The research employs a nested purchasing power parity, random walk, and uncovered interest parity specification that facilitates the recovery of the fundamentals behind the exchange rate expectations formation mechanism. The findings reveal that the most significant driver of exchange rate expectations is the interest rate differential between the DR and its main trading partner -the United States. These results are of relevance for the design and implementation of financial reforms and exchange rate policy alike, and in anticipating abrupt exchange rate movements.

European Integration, Productivity Growth and Real Convergence

This paper derives a stochastic endogenous growth model that investigates the impact of European Union integration on convergence and productivity growth. We deviate from the general strand of literature by not only deriving a theoretical model for the effects of integration on the rate of economic growth, but also by using more appropriate estimation techniques. The outcome of a series of panel and structural break tests examining the accession process of five recent members to the Union generally show improved rates of productivity growth and convergence to EU standards. We then draw from the experience of these recent members to derive implications for the first-round EU candidate countries. Subsequent tests on the first-round candidate countries find a high level of heterogeneity in growth rates, and a fast-paced convergence to EU standards.http://deepblue.lib.umich.edu/bitstream/2027.42/40043/3/wp657.pd