Showing 51 - 60 of 210
We introduce SMARTboost (boosting of symmetric smooth additive regression trees), a machine learning model capable of fitting complex functions in high dimensions, yet designed for good performance in small n and low signal-to-noise environments, and on data generated by the most common...
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This paper provides a rationale for the revival of protectionism, based on the rise of the educated class. In a trade model with heterogeneous workers and entrepreneurs, globalization generates aggregate gains but has distributional effects, which can be attenuated through taxation. By playing a...
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This paper focuses on the coordination problem among borrowing countries imposing controls on capital infl ows. In a simple model of capital flows and controls, we show that inflow restrictions distort international capital flows to other countries and that, in turn, such capital flow deflection...
Persistent link: https://www.econbiz.de/10010959457
This paper studies the relationship between trade policy and food prices. We show that, when individuals are loss averse, governments may use trade policy to shield the domestic economy from large food price shocks. This creates a complementarity between the price of food in international...
Persistent link: https://www.econbiz.de/10010959482
We propose a theoretical framework for analyzing the problems associated to unilateral immigration policy in receiving countries and for evaluating the grounds for reform of international institutions governing immigration. We build a model with multiple destination countries and show that...
Persistent link: https://www.econbiz.de/10009644131
We introduce a non-Gaussian dynamic mixture model for macroeconomic forecasting. The locally adaptive signal extraction and regression (LASER) model is designed to capture relatively persistent AR processes (signal) which are contaminated by high frequency noise. The distributions of the...
Persistent link: https://www.econbiz.de/10014198092
We construct an adaptive independent Metropolis-Hastings sampler that uses a mixture of normals as a proposal distribution. To take full advantage of the potential of adaptive sampling our algorithm updates the mixture of normals frequently, starting early in the chain. The algorithm is built...
Persistent link: https://www.econbiz.de/10014047919