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Emilio Zaratiegui

@emilio-zaratiegui.bsky.social

PhD Candidate at Columbia University | Macroeconomics and International Finance https://www.emiliozaratiegui.com

47 Followers  |  296 Following  |  11 Posts  |  Joined: 12.11.2024  |  1.7688

Latest posts by emilio-zaratiegui.bsky.social on Bluesky

Link to paper ⬇️
emiliozaratiegui.github.io/Personal-Web...

πŸ“ˆπŸ“‰ You can also see the rest of my research agenda at

www.emiliozaratiegui.com/home

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Plot shows optimal capital controls as a function of the elasticity of tfp with respect to capital.

Plot shows optimal capital controls as a function of the elasticity of tfp with respect to capital.

Compute optimal capital control (Y-axis) as function of productivity elasticity wrt investment (x-axis)

Trade-off is relevant -> Adding investment and misallocation turns tax (dashed black) into subsidy (solid blue)

Result driven mostly by effects on productivity

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Plot shows estimates of the elasticity of TFP with respect to capital for a sample of 18 european countries. Estimates range between 0.14 and 0.3

Plot shows estimates of the elasticity of TFP with respect to capital for a sample of 18 european countries. Estimates range between 0.14 and 0.3

I leverage Orbis data to obtain estimates for 18 countries

Using firm-level balance sheet data, estimate misallocation (dispersion in marginal returns to capital)

Use as input to obtain elasticity of TFP with respect to investment

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

I derive a sufficient static formula ➑️ Clear mapping to data

Key object: Productivity losses from capital controls

I obtain a closed form expression that depends on cross-sectional misallocation across firms

How can this be measured?

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Governments can't always control allocation of credit ➑️ Trade-off!

Capital controls prevent and mitigate crises but affect productivity

Is this quantitatively relevant?

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

What is the optimal level of capital controls, defined as a tax on foreign borrowing?

As benchmark, first allow policymaker to control allocation of credit between consumption and investment.

Capital control on borrowing and investment subsidy ➑️ No trade-off

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Financial crises: Income depends on prices, which depends on aggregate choices ➑️ Not internalized by HHs

Capital controls can reduce foreign borrowing ➑️ Prevents and mitigates crises

This is the standard motivation in the literature and underpins the IMF view

28.11.2024 01:43 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Key elements

1) Financial crises: Households (HH) face a borrowing constraint that depends on income ➑️ when it binds, reduced borrowing reduces income leading to vicious cycle
2) Misallocation: Firms differ in their ability to access capital ➑️ reduced productivity

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

I build a model that combines two literatures: Small open economy literature on optimal capital controls, and extensive literature on capital misallocation.

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Some context:

Capital controls have become a key policy tool and are now part of the IMF toolkit

Traditional view: Capital controls can contribute to financial stability

Overlooked: Effects on productivity through misallocation that have been empirically documented

28.11.2024 01:43 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Macroprudential Policy with Firm Heterogeneity, Emilio Zaratiegui, Columbia University,  I study optimal macroprudential policy when its effects on investment and productivity are taken into account. To do so, I introduce a  tractable way of modeling misallocation that generates a link between investment and productivity and can be easily taken to the data. Because macroprudential policies affect investment, they lead to productivity losses. I show that, when the policymaker is constrained in their available instruments, this generates a policy trade-off between financial stability and productivity growth.
I derive a sufficient statistic formula for the second-best policy composed of measurable objects, including its productivity costs. I leverage the tractability of my model to get a range of estimates for the latter using rich firm-level microdata for several European countries. 
    The trade-off is quantitatively relevant: For baseline crisis probabilities, productivity losses switch optimal policy from a capital control to a foreign borrowing subsidy.

Macroprudential Policy with Firm Heterogeneity, Emilio Zaratiegui, Columbia University, I study optimal macroprudential policy when its effects on investment and productivity are taken into account. To do so, I introduce a tractable way of modeling misallocation that generates a link between investment and productivity and can be easily taken to the data. Because macroprudential policies affect investment, they lead to productivity losses. I show that, when the policymaker is constrained in their available instruments, this generates a policy trade-off between financial stability and productivity growth. I derive a sufficient statistic formula for the second-best policy composed of measurable objects, including its productivity costs. I leverage the tractability of my model to get a range of estimates for the latter using rich firm-level microdata for several European countries. The trade-off is quantitatively relevant: For baseline crisis probabilities, productivity losses switch optimal policy from a capital control to a foreign borrowing subsidy.

I am on the Job Market!
In my #EconJMP, I study optimal capital controls considering previously overlooked effects on investment and productivity using a sufficient statistic approach

Estimating productivity losses using micro-data, I find that capital flows should be incentivized.
πŸ“ˆπŸ“‰πŸ§΅

28.11.2024 01:43 β€” πŸ‘ 16    πŸ” 3    πŸ’¬ 1    πŸ“Œ 0

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