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A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances
Spatial autoregressive model two-stage least squares generalized moments estimation
2015/9/24
Cross-sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor or a disturbance term that is spatially autoregressive. In this article we describe a computati...
INSTRUMENTAL VARIABLE ESTIMATION OF A SPATIAL AUTOREGRESSIVE MODEL WITH AUTOREGRESSIVE DISTURBANCES:LARGE AND SMALL SAMPLE RESULTS
INSTRUMENTAL VARIABLE ESTIMATION SPATIAL AUTOREGRESSIVE MODEL AUTOREGRESSIVE DISTURBANCES LARGE AND SMALL SAMPLE
2015/9/24
The purpose of this paper is two-fold. First, on a theoretical level we introduce a series-type instrumental variable (IV) estimator of the parameters of a spatial first order autoregressive model wit...
A SPATIAL CLIFF-ORD-TYPE MODEL WITH HETEROSKEDASTIC INNOVATIONS: SMALL AND LARGE SAMPLE RESULTS
SPATIAL CLIFF-ORD-TYPE MODEL HETEROSKEDASTIC INNOVATIONS SMALL AND LARGE SAMPLE RESULTS
2015/9/24
In this paper, we specify a linear Cliff-and-Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the dist...
2SLS and OLS in a spatial autoregressive model with equal spatial weights
Spatial autoregressive models Row normalized and equal spatial weights Ordinary least squares Two stage least squares Panel data
2015/9/24
The paper considers a Cliff–Ord type spatial model with a spatially lagged dependentvariable and a row normalized weighting matrix with equal weights. We show that the 2SLSand OLS estimators are incon...
Asymptotic Properties of Multiperiod Control Rules in the Linear Regression Model
Asymptotic Properties Multiperiod Control Rules
2015/8/5
This is the value of the control rule which would be used if one treated ,d as
known with certainty and equal to the least squares estimate. We call this rule
the least squares certainty equivalence...
An Econometric Model of the Yield Curve with Macroeconomic Jump Effects
Macroeconomic Jump Effects Yield Curve
2015/7/23
This paper develops an arbitrage-free time-series model of yields in continuous time
that incorporates central bank policy. Policy-related events, such as FOMC meetings
and releases of macroeconomic...
Solving the Neoclassical Growth Model with Quasi-Geometric Discounting: A Grid-Based Euler-Equation Method
Discounts neoclassical growth model grid euler equations
2015/7/21
Solving the Neoclassical Growth Model with Quasi-Geometric Discounting: A Grid-Based Euler-Equation Method.
Merging Simulation and Projection Aproaches to Solve High-Dimensional Problems with an Application to a New Keynesian model
Numerical algorithm dynamic economic model of the grid
2015/7/21
We introduce a numerical algorithm for solving dynamic economic models that merges stochastic simulation and projection approaches: we use simulation to approximate the ergodic measure of the solution...
Automatic discovery of the regression model by the means of grammatical and differential evolution
context-free grammar evolutionary methods genetic algorithm sum of squared error
2014/12/18
In the contribution, there is discussed the usage of the method based on the grammatical and differential evolution for the automatic discovery of regression models for discrete datasets. The combinat...
Distribution Of Wealth In A Network Model Of The Economy
Distribution Of Wealth A Network Model The Economy
2012/9/14
We show, analytically and numerically, that wealth distribution in the Bouchaud-Mezard network model of the economy is described by a three-parameter generalized inverse gamma distribution. In the mea...
Evolutionary Model of the Growth and Size of Firms
firm size distribution firm growth Gibrat's law product growth size-variance relationship growth rate distribution Subbotin distribution Laplace distribution Pareto distribution price distribution human activity evolutionary economics product life cycle learning curve market size Hendersons law law of diminishing returns competitive markets
2012/9/14
The key idea of this model is that firms are the result of an evolutionary process. Based on demand and supply considerations the evolutionary model presented here derives explic...
A quantum mechanical model for the relationship between stock price and stock ownership
quantum mechanical model relationship between stock price stock ownership
2012/9/14
The trade of a fixed stock can be regarded as the basic process that measures its momentary price. The stock price is exactly known only at the time of sale when the stock is between traders, that is,...
A CB (corporate bond) pricing probabilities and recovery rates model for deriving default probabilities and recovery rates
Government Bond (GB) model Corporate Bond (CB) model Term Structure of Default Probabilities (TSDP) Recovery Rate (RR) Credit Default Swap (CDS) business portfolio, credit risk management
2012/9/14
In this paper we formulate a corporate bond (CB) pricing model for deriving the term structure of default probabilities (TSDP) and the recov-ery rate (RR) for each pair of industry factor and credit r...
A No-Arbitrage Model of Liquidity in Financial Markets involving Brownian Sheets
No-Arbitrage Model Financial Markets Brownian Sheets
2012/9/14
We consider a dynamic market model where buyers and sellers submit limit orders. If at a given moment in time, the buyer is unable to complete his entire order due to the shortage of sell orders at th...
Statistical foundation of the pairwise interaction model of the stock market
Statistical foundation interaction model stock market
2012/9/14
Financial markets are a classical example of complex systems as they are compound by many interacting stocks. As such, we can obtain a surprisingly good description of their structure by making the ro...