An Investigation into the Sources of Depreciations in Mongolian Tugrik Exchange Rate: A Structural VAR Approach

This paper empirically investigates the sources of fluctuations in real and nominal Mongolian Tugrik (MNT) exchange rates by estimating the structural vector autoregressive (SVAR) model over the period January 1994–May 2021 and decomposing the exchange rate series into stochastic components induced by real and nominal shocks under the assumption of the long-run neutrality of nominal shocks on the real exchange rate level. The empirical results show that the real MNT exchange rate movements are primarily due to the real shocks, while the nominal shocks have a major role in explaining nominal exchange rate movements in the short and long run. The nominal exchange rate shows a delayed over-shooting occurring between one and three years after a nominal shock hits the economy. The long-run effect of a monthly one standard deviation nominal shock on nominal MNT exchange rate is 2.5%, which results in a permanent divergence between real and nominal MNT exchange rate and causes non-cointegrated relation between real and nominal MNT exchange rates. The historical decomposition of forecast error indicates that the nominal shock plays a significant role in explaining the depreciation in nominal MNT exchange rate over the last three decades. Our recommendation is to stop “cash handling” policy, minimize monetary shock, and coordinate fiscal and monetary policies to avoid large nominal depreciation.

Secular Economic Changes and Bond Yields

We build a model of bond yields in an economy with secular changes to inflation, real rate and output growth. Long-run restrictions identify nominal shocks that do not influence the long-run real rate and output growth. Before the anchoring of inflation around the mid-1990s, nominal shocks lifted the output gap and inflation. This led to a higher and steeper yield curve because the short rate was expected to peak after several quarters, following declines in the responses of growth and inflation. With inflation anchored, nominal shocks have small impacts on inflation, output and bond yields, mostly via the term premium.

Business Cycles and Current Economic Analysis

This is a brief introduction to the special issue on “New Developments in Modelling and Estimation of Economic Cycles” . The concept and definition of economic and business cycles are discussed together with two main schools of thought, the Keynesian and the neoclassical. Until the Keynesian revolution in mainstream economics in the wake of the Great Depression, classical and neoclassical explanations were the mainstream explanation of economic cycles; following the Keynesian revolution, neoclassical macroeconomics was largely rejected. There has been some resurgence of neoclassical approaches in the form of real business cycle (RBC) theory. Real business cycle theory is a class of macroeconomic model in which business cycle fluctuations to a large extent can be accounted for by real (in contrast to nominal) shocks. In a broad sense , there have been two ways by which economic and business cycles have been studied, one analyzing complete cycles and the other, studying the behavior of the economic indicators during incomplete phases by comparing current contractions or expansions whith corresponding phases in the past in order to assess current economic conditions. Two different methodologies have been applied for current economic analysis, the parametric one, that makes use of filters based on models, such as ARIMA and State Space models , and the other based on nonparametric digital filtering. Some of the invited papers of this issue deal with this second approach.

Paralyzed by Fear: Rigid and Discrete Pricing Under Demand Uncertainty

We propose a new theory of price rigidity based on firms' Knightian uncertainty about their competitive environment. This uncertainty has two key implications. First, firms learn about the shape of their demand function from past observations of quantities sold. This learning gives rise to kinks in the expected profit function at previously observed prices, making those prices both sticky and more likely to reoccur. Second, uncertainty about the relationship between aggregate and industry‐level inflation generates nominal rigidity. We prove the main insights analytically and quantify the effects of our mechanism. Our estimated quantitative model is consistent with a wide range of micro‐level pricing facts that are typically challenging to match jointly. It also implies significantly more persistent monetary non‐neutrality than in standard models, allowing it to generate large real effects from nominal shocks.

Optimal Sticky Prices Under Rational Inattention

This paper presents a model in which price setting firms decide what to pay attention to, subject to a constraint on information flow. When idiosyncratic conditions are more variable or more important than aggregate conditions, firms pay more attention to idiosyncratic conditions than to aggregate conditions. When we calibrate the model to match the large average absolute size of price changes observed in micro data, prices react fast and by large amounts to idiosyncratic shocks, but only slowly and by small amounts to nominal shocks. Nominal shocks have strong and persistent real effects. An optimizing trader will process those prices of most importance to his decision problem most frequently and carefully, those of less importance less so, and most prices not at all. Of the many sources of risk of importance to him, the business cycle and aggregate behavior generally is, for most agents, of no special importance, and there is no reason for traders to specialize their own information systems for diagnosing general movements correctly. – Robert E. Lucas (1977, 21) JEL Classification: D21, D83, E31, E52

Firm Uncertainty Cycles and the Propagation of Nominal Shocks

We develop a framework to study the impact of idiosyncratic uncertainty on aggregate economic outcomes. Agents learn about individual characteristics, which receive infrequent, large, and persistent shocks. In this environment, idiosyncratic uncertainty moves in cycles, fluctuating between periods of high and low uncertainty; with additional fixed adjustment costs, the frequency and size of agents' actions also fluctuate in cycles. We apply our framework to study pricing behavior and the propagation of nominal shocks. We show, analytically and quantitatively, that idiosyncratic uncertainty cycles amplify the real effects of nominal shocks by generating cross-sectional dispersion in firms' adjustment frequency and in learning speed. (JEL D21, D81, D83, E31, E32, E52)

Estimating Models with Dispersed Information

We conduct likelihood evaluation of a DSGE model in which firms have imperfect common knowledge. Imperfect common knowledge is found to be more successful than price stickiness à la Calvo to account for the highly persistent effects of nominal shocks on output and inflation. Our likelihood analysis suggests that firms pay little attention to aggregate nominal conditions. This paper shows that such allocation of attention is plausible because it is optimal for firms with a reasonably small size of information frictions and a size of idiosyncratic uncertainty that is in line with the micro evidence on price changes. (JEL C51, D83, E13, E23, E31)