Economics and Finance

1802 Submissions

[3] viXra:1802.0435 [pdf] submitted on 2018-02-28 16:17:44

Deep Learning for Causal Inference

Authors: Vikas Ramachandra
Comments: 12 Pages.

In this paper, we propose the use of deep learning techniques in econometrics, specifically for causal inference and estimating individual as well as average treatment effects. The contribution of this paper is twofold: 1.For generalized neighbor matching to estimate individual and average treatment effects, we analyze the use of autoencoders for dimensionality reduction while maintaining the local neighborhood structure among the data points in the embedding space. This deep learning based technique is shown to perform better than simple k nearest neighbor matching for estimating treatment effects, especially when the data points have several features/covariates but reside in a low dimensional manifold in high dimensional space. We also observe better performance than manifold learning methods for neighbor matching. 2. Propensity score matching is one specific and popular way to perform matching in order to estimate average and individual treatment effects. We propose the use of deep neural networks (DNNs) for propensity score matching, and present a network called PropensityNet for this. This is a generalization of the logistic regression technique traditionally used to estimate propensity scores and we show empirically that DNNs perform better than logistic regression at propensity score matching. Code for both methods will be made available shortly on Github at:
Category: Economics and Finance

[2] viXra:1802.0119 [pdf] submitted on 2018-02-10 15:53:02

Crecimiento ECONÓMICO DE Colombia Durante el Keynesianismo Y el Neoliberalismo Monetarista, 1960-2016

Authors: Alfonso León Guillén Gómez
Comments: 48 Pages.

Se examina el crecimiento económico de largo plazo, ocurrido en los últimos 56 años, en Colombia, durante los períodos keynesiano y neoliberal, bajo la consideración de constituir una estructura económica capitalista dependiente. Por lo tanto, relacionando su crecimiento con el de los Estados Unidos y el Reino Unido que conforman el principal eje de dominación mundial. Con tal objetivo primero se construye un modelo conceptual de tal historia para en segundo lugar analizarla e interpretarla utilizando herramientas estadísticas del análisis de series de tiempo.
Category: Economics and Finance

[1] viXra:1802.0068 [pdf] submitted on 2018-02-07 09:37:09

Spectra of Economic Inflation

Authors: Anindya Kumar Biswas
Comments: 19 Pages. It's an application of a model of economics developed in analogy with theory of electrodynamics of physics

In this article, we derive relations between inflation and rate of unemployment for a set of economic systems, using a theoretical model developed under the spell of Maxwell’s electrodynamics. Inflation in a place, in the model, is proportional to the frequency of economic power flow to the place from outside. Rate of unemployment in that place is a power law function of the frequency. Relations are of power law types i.e. inflation varies inversely as a power of rate of unemployment. Consequently, we get a spectrum of inflationary exponents. Exponents obtained are 2/5, 2, 2/(5+4l), 6.7; 1/6, 1/4, 1/(2l+6), 0.26; 1/4, 1/2, 1/(2l+4), 0.61; -2/3, -2/7, 2/(4l-3), -0.2; 1, -1, 1/(2l+1), -0.4 respectively; where, l is a positive integer. We draw few representative Phillips curves i.e. graphs of inflation vs rate of unemployment, discuss about the consequences of the spectra and surmise about the relevance of CPI over WPI from the model.
Category: Economics and Finance