Maral Shamloo

Tax reform, the informal economy, and bank financing of capital formation

This paper develops a model that relates businesses’ entry into the underground economy to tax rates and the need to access the banking system. The model uses a dynamic approach in which both firms and banks optimize and in which the benefits to a firm of accessing the banking system are endogenous. A firm compares the return to capital with the marginal tax rate on capital income and uses the difference to determine how much of the tax to pay. At the same time, banks use a firm’s capital tax payments, combined with the capital tax rate to obtain an estimate of the firm’s minimum capital value. If the firm pays at least some taxes then it will have access to the banking system, which will allow it to finance investment. If the firm pays no taxes, then it cannot access the banks and cannot invest. We compare the equilibria resulting from tax compliance and tax evasion. We calibrate the model to a highly stylized version of the Russian economy, and analyze the effect of potential tax changes on the underground economy. We compute a dynamic equilibrium for our model, and note that it tracks the path of certain macroeconomic variables of the Russian economy (GDP, budget and trade balances, price level and interest rate) with some accuracy for the years 2001–2008. We are unable to track the underground economy, as this data is unobservable. We then carry out a series of counterfactual simulations, first asking if non-capital intensive firms have an incentive to evade taxes under existing value added tax rates. We find that they do, and that the incentive would have been greatly reduced if the value added tax rate had been selectively reduced for the non-capital intensive sectors. We then ask what the effect would be if the corporate tax rate were raised on capital intensive sectors. The simulations indicate that the capital intensive sectors would not increase their entry into the underground economy. Copyright Springer Science+Business Media, LLC 2013

Price Setting in a Model with Production Chains; Evidence from Sectoral Data

Reconciling the high frequency of price changes at the micro level and their apparent rigidity at the aggregate level has been the subject of considerable debate in macroeconomics recently. In this paper I show that incorporating production chains in a standard New- Keynesian model replicates two stylized facts about the data. First, sectoral prices respond with significantly different speeds to aggregate shocks. Meanwhile, the responses to sectorspecific shocks are similar. Second, the standard price setting models are unable to quantitatively match the amount of monetary non-neutrality observed in the data. I argue, First, that the input-output linkages in production generate different responses to aggregate shocks across sectors. Second, calibrating this model to the US data can create five times more monetary non-neutrality in response to nominal shocks compared to an equivalent homogeneous economy with intermediate inputs. Finally, the model implies that upstream industries respond faster to aggregate shocks compared to downstream industries. I show that this prediction is supported by the data.

A Financial Conditions Index for Greece

We construct a Financial Conditions Index (FCI) for Greece as a surveillance tool to quantify the degree of the stress in the financial sector. We use principal component analysis to capture the information content of several financial indicators through a single index. We also construct an alternative FCI by purging the business cycle and monetary policy effects on the input variables, and argue that this alternative index is a better indicator of exogenous financial shocks, and thus could be interpreted as a measure of the efficacy of transmission mechanism. We replicate the index for the euro area (EA) as a whole and show that although the developments in the EA were qualitatively in line with those in Greece, they were quantitatively much milder. Our results confirm that monetary transmission was less effective in Greece compared to the EA as a whole. Finally, we argue that our index can be a potentially useful forecasting tool for credit growth.

Inflation Dynamics in Fyr Macedonia

In this paper we study the dynamics of inflation in Macedonia, provide three forecasting tools and draw some policy conclusions from the quantitative results. We explore three forecasting methods for inflation. We use a Dynamic Factor Model (DFM) for short-term, monthly forecasting. We also develop two quarterly models: A Vector Error Correction Model (VECM), and a New Keynesian Phillips Curve (NKPC) for a more structural model of inflation. The NKPC shows a significant effect of output gap and inflation expectations on current inflation, confirming that the expectations channel of monetary transmission mechanism is strong. In terms of forecast-error variance, we show that all three models do very well in one-period ahead forecasting.

Optimal Monetary Policy with Overlapping Generations of Policymakers

In this paper I study the effect of imperfect central bank commitment on inflationary outcomes. I present a model in which the monetary authority is a committee that consists of members who serve overlapping, finite terms. Older and younger generations of Monetary Policy Committee (MPC) members decide on policy by engaging in a bargaining process. I show that this setup gives rise to a continuous measure of the degree of monetary authoritys commitment. The model suggests that the lower the churning rate or the longer the tenure time, the closer social welfare will be to that under optimal commitment policy.