NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Anmol Bhandari

Department of Economics
University of Minnesota
1925 Fourth Street South
Minneapolis, MN 55455

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org
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NBER Program Affiliations: EFG
NBER Affiliation: Faculty Research Fellow

NBER Working Papers and Publications

June 2018Inequality, Business Cycles, and Monetary-Fiscal Policy
with David Evans, Mikhail Golosov, Thomas J. Sargent: w24710
We study optimal monetary and fiscal policy in a model with heterogeneous agents, incomplete markets, and nominal rigidities. We develop numerical techniques to approximate Ramsey plans and apply them to a calibrated economy to compute optimal responses of nominal interest rates and labor tax rates to aggregate shocks. Responses differ qualitatively from those in a representative agent economy and are an order of magnitude larger. Taylor rules poorly approximate the Ramsey optimal nominal interest rate. Conventional price stabilization motives are swamped by an across person insurance motive that arises from heterogeneity and incomplete markets.
April 2018Sweat Equity in U.S. Private Business
with Ellen R. McGrattan: w24520
In this paper, we first provide evidence that existing measures of business incomes and valuations based on widely-used surveys such as the Survey of Consumer Finances are mismeasured. We then develop a theory disciplined by U.S. national accounts and business census data to measure net incomes and private business sweat equity—which is the value of time to build customer bases, client lists, and other intangible assets. We estimate an aggregate sweat equity value of 0.65 times GDP, with little cross-sectional dispersion in valuations when compared to business net incomes and large cross-sectional dispersion in rates of return. Our estimate of sweat equity is close to the estimate of marketable fixed assets used in production by private businesses, implying a high ratio of intangible to to...
May 2016Identifying Ambiguity Shocks in Business Cycle Models Using Survey Data
with Jaroslav Borovička, Paul Ho: w22225
We develop a framework to analyze economies with agents facing time-varying concerns for model misspecification. These concerns lead agents to interpret economic outcomes and make decisions through the lens of a pessimistically biased 'worst-case' model. We combine survey data and implied theoretical restrictions on the relative magnitudes and comovement of forecast biases across macroeconomic variables to identify ambiguity shocks as exogenous fluctuations in the worst-case model. Our solution method delivers tractable linear approximations that preserve the effects of time-varying ambiguity concerns and permit estimation using standard Bayesian techniques. Applying our framework to an estimated New-Keynesian business cycle model with frictional labor markets, we find that ambiguity shock...
September 2013Taxes, Debts, and Redistributions with Aggregate Shocks
with David Evans, Mikhail Golosov, Thomas J. Sargent: w19470
A planner sets a lump sum transfer and a linear tax on labor income in an economy with incomplete markets, heterogeneous agents, and aggregate shocks. The planner's concerns about redistribution impart a welfare cost to fluctuating transfers. The distribution of net asset holdings across agents affects optimal allocations, transfers, and tax rates, but the level of government debt does not. Two forces shape long-run outcomes: the planner's desire to minimize the welfare costs of fluctuating transfers, which calls for a negative correlation between the distribution of net assets and agents' skills; and the planner's desire to use fluctuations in the real interest rate to adjust for missing state-contingent securities. In a model parameterized to match stylized facts about US booms and reces...
 
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