Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

The Theory of Monopolistic Competition.

A literature survey on energy–growth nexus

Renewable energy consumption and income in emerging economies

https://isiarticles.com/bundles/Article/pre/pdf/11236.pdf

Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries

https://isiarticles.com/bundles/Article/pre/pdf/11000.pdf

Electricity consumption and economic growth: Bounds and causality analyses of OPEC members

Trade openness, popularly measured as (X + M)/GDP in the hundreds of studies published to date, consistently considers the world's biggest trading countries such as the USA, the UK, Japan and Germany to be closed economies, irrespective of the data set used. This study suggests a composite trade share measure that more completely reflects reality by combining two important dimensions of trade openness: trade share and the relative importance of a country's trade level to total world trade. Robustness tests support the new proposed measure in lieu of the conventional measure of openness and suggest that the latter may not only be incomplete but may also overstate the impact of trade on such things as income and the environment.

https://papers.ssrn.com/sol3/Delivery.cfm/j_1467-9701_2011_01404_x_wml.pdf?abstractid=1945603&mirid=5

A New Measure of Trade Openness

Renewable energy, coal as a baseload power source, and greenhouse gas emissions: Evidence from U.S. state-level data

This paper tests for market efficiency in the represented sectors of the Dubai Financial Market (DFM) and the Abu Dhabi Securities Market (ADSM). Using daily sectoral indexes between 2000 and 2005, variance ratio tests reject the random walk hypothesis in all sectors of the UAE financial markets except in the banking sector of the DFM. Returns in the two financial markets are negatively serially correlated, thus suggesting the presence of a Bull market. Runs tests find insurance in the ADSM to be the only weak-form efficient sector.

Jay Squalli

Papers

Electricity consumption and economic growth: Bounds and causality analyses of OPEC members

A New Measure of Trade Openness

Renewable energy, coal as a baseload power source, and greenhouse gas emissions: Evidence from U.S. state-level data

A non-parametric assessment of weak-form efficiency in the UAE financial markets

An empirical assessment of U.S. state-level immigration and environmental emissions