<--- Back to Details
First PageDocument Content
Economics / Mathematics / Statistics / Expected value / Instrumental variable / Equation
Date: 1998-01-19 09:58:42
Economics
Mathematics
Statistics
Expected value
Instrumental variable
Equation

Plant and Equipment investment 4.1 Introduction

Add to Reading List

Source URL: fairmodel.econ.yale.edu

Download Document from Source Website

File Size: 388,11 KB

Share Document on Facebook

Similar Documents

Oil Prices, Profits, and Recessions: An Inquiry Using Terrorism as an Instrumental Variable∗ Natalie Chen University of Warwick, CEPR Liam Graham

DocID: 1tSGI - View Document

Race in the United States / Residential segregation in the United States / Segregation / Urban decay / Achievement gap in the United States / Instrumental variable / Race and society / Education / Politics

Econometric Reviews ISSN: PrintOnline) Journal homepage: http://www.tandfonline.com/loi/lecr20 Residential Mobility, Neighborhood Effects, and Educational Attainment of Blacks and Whites

DocID: 1rjld - View Document

Statistics / Regression analysis / Estimation theory / Lasso / Linear regression / Random effects model / Least squares / Fixed effects model / Ordinary least squares / Instrumental variable / Feature selection / Heteroscedasticity

INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR

DocID: 1riRo - View Document

Statistics / Estimation theory / Statistical theory / Regression analysis / Statistical inference / Statistical methods / Linear regression / Instrumental variable / Estimator / Asymptotic theory / Shrinkage estimator / M-estimator

INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr

DocID: 1rgnG - View Document

Regression analysis / Simultaneous equation methods / Parametric statistics / Steven Levitt / Least squares / Instrumental variable / Ordinary least squares / Crime in the United States / Violent crime / Sampling / Statistics

CENTER FOR LABOR ECONOMICS UNIVERSITY OF CALIFORNIA, BERKELEY WORKING PAPER NO. 35 Do Electoral Cycles in Police Hiring Really Help Us Estimate the Effect of Police on Crime?

DocID: 1reZ3 - View Document