The literature can be roughly divided in two historical phases. "Robustness checks and robustness tests in applied economics." CiteScore: 3.7 ℹ CiteScore: 2019: 3.7 CiteScore measures the average citations received per peer-reviewed document published in this title. (JAMA, 316(3), 291–299, 2016), who evaluated the impact of the Australian firearm law in 1996. Chapter 4 Checking for Robustness. Journal of Cleaner Production 197: 972 – 991. by users. In this paper we report the results of an investigation of the t‐test's robustness when applied to data of this form for samples of sizes 5 to 20. Economics Series Robustness of the CUSUM and CUSUM-of-Squares Tests to Serial Correlation, Endogeneity and Lack of Structural Invariance Some Monte Carlo Evidence Guglielmo Maria Caporale, Nikitas Pittis . They use "Testrob" in Matlab. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. ... Høgevold, N, et al. ŒInference & speci–cation tests ŒIV estimation in practice - problems posed by weak & invalid instruments. 2. Robustness checks and robustness tests in applied economics @article{Lu2014RobustnessCA, title={Robustness checks and robustness tests in applied economics}, author={X. Lu and H. White}, journal={Journal of Econometrics}, year={2014}, volume={178}, pages={194-206} } 4 provide the detail about econometric methodology and Sect. The empirical literature that has aimed at finding the factors that can explain variation in economic growth has predominantly made use of simple linear cross-section regression equations. (2018) Framing the triple bottom line approach: direct and mediation effects between economic, social and environmental elements. A key variable in such a strategy is frequently the outcome of interest in a period before the treatment took place. We’re seeking your support as we push the limits in neuroscience, population science and emerging conflict research, because solutions to some of society’s greatest challenges lie in our ability to break the mold, to be boundaryless. References: Wooldridge (2002), Chapters 5; 6.2; 8 and 14 Murray, Michael P.(2006) "Avoiding Invalid Instruments and Coping with Weak Instruments," Journal of Economic Perspectives, 2006, vol. Since its first inception in the debate on the relationship between environment and growth in 1992, the Environmental Kuznets Curve has been subject of continuous and intense scrutiny. Key words: non-linearity testing, Monte Carlo experiments. Department of Economics, University of London, UK March 26, 2012 JEL classification: C15, C22. The simulation results show that distributional We show that accounting for trends changes the conclusions in the study of Chapman et al. Google Scholar | Crossref. To some extent, the development of diagnostic and specification tests provides the capacity to make these checks, and good econometric studies use these tests. Robustness checks involve reporting alternative specifications that test the same hypothesis. Abstract: A common exercise in empirical studies is a “robustness check”, where the researcher examines how certain “core” regression coefficient estimates behave when the regression specification is modified by adding or removing regressors. Once you have assessed and improved the computational reproducibility of the display items for a claim within a paper, you can assess the robustness of these results by modifying some analytic choices and reporting their subsequent effects on the estimates of interest, i.e. Replications and robustness checks are key elements of the scientific method and a staple in many disciplines. Rest of the paper is organized as: Sect. Robustness. The similar types of analyses were done also by Alkire and Foster (2011a,b); Alkire et al. Section 5 concludes. On the Robustness of Robustness Checks of the Environmental Kuznets Curve by Marzio Galeotti (University of Milan and Fondazione Eni Enrico Mattei) Matteo Manera (University of Milan-Bicocca and Fondazione Eni Enrico Mattei) Alessandro Lanza (Eni S.p.A. and Fondazione Eni Enrico Mattei) Abstract . Hi! Xun Lu and Halbert White. Journal of Econometrics, 2014, vol. 20, issue 4, pages 111-132 Foster et al. In economics, robustness is the ability of a financial trading system to remain effective under different markets and different market conditions, or the ability of an economic model to remain valid under different assumptions, parameters and initial conditions.. Join us! Robustness checks and robustness tests in applied economics Author: Lu, Xun, White, Halbert Source: Journal of econometrics 2014 v.178 pp. Downloadable! The literature can be roughly divided in two historical phases. The book also discusses 194-206 ISSN: 0304-4076 Subject: computer software, diagnostic techniques, econometric models, economic analysis, economic theory, empirical research, regression analysis, researchers Abstract: Abstract The paper examines the robustness of the size and power properties of the stan-dard non-linearity tests under different conditions such as moment failure and asymmetry of innovations. to investigate the robustness of these Q tests in these situations. Because the problem is with the hypothesis, the problem is not addressed with robustness checks. Lu, X, White, H (2014) Robustness checks and robustness tests in applied economics. 178, issue P1, 194-206 . The results of the different tests of robustness are discussed in Section 4. I would like to conduct some robustness checks in Stata (by using the method of Lu and White (2013) - Lu, Xun, and Halbert White. Some African countries have a well-developed financial sector than other African countries and these differences may impact the non-discretionary determinants of bank provisions in the region. Empirical Methods in Applied Economics Lecture Notes Jörn-Ste⁄en Pischke LSE October 2005 1 Di⁄erences-in-di⁄erences 1.1 Basics The key strategy in regression was to estimate causal e⁄ects by controlling for confounding factors. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. We've already gone over the robustness test of adding additional controls to your model to see what changes - that's not a specialized robustness test. External links. The QBP test will not be discussed in this study because the QLB test is already a finite-sample-corrected QBP test. On the Robustness of Robustness Checks of the Environmental Kuznets Curve Summary Since its first inception in the debate on the relationship between environment and growth in 1992, the Environmental Kuznets Curve has been subject to continuous and intense scrutiny. DOI: 10.1016/J.JECONOM.2013.08.016 Corpus ID: 14937433. In his keynote address at the 7th SBI Banking and Economics Conclave, RBI Governor Shaktikanta Das said that the "novel coronavirus pandemic is so far the "biggest test of robustness and resilience of our [India's] economic and financial system". Robustness checks and robustness tests in applied economics. (Hint: for a more complicated simulation study, see LM Robustness.r.) Replications and robustness checks are key elements of the scientific method and a staple in many disciplines. 5 consists of results and discussion, Sect. In the philosophy of science and epistemology literature, robustness analysis has become an umbrella term that refers to a variety of strategies. Structural model robustness checks in PLS-SEM Marko Sarstedt, Christian M Ringle, Jun-Hwa Cheah, Hiram Ting, Ovidiu I Moisescu, and Lacramioara Radomir Tourism Economics 2019 26 : … Further Robustness Checks One, we address concerns that differences in the level of financial sector development may affect our result. robustness tests suggesting that 85 % of pair-wise comparisons were the same if the weights on each dimension varied between 25 % and 50 % of the total. For this purpose, we conduct a Monte Carlo simulation to assess finite sample performance of the QLB and QML tests. 6 shows robustness check with alternative methodologies, while conclusion and policy implications is accommodated in … Is anyone familiar with such a function in Strata? Robust data processing techniques – i.e., techniques that yield results minimally affected by outliers – and their applications to real-life economic and financial situations are the main focus of this book. Kuorikoski, Jaakko; Lehtinen, Aki; Marchionni, Caterina (2007-09-25). Journal of Econometrics 178 (2014): 194-206). (2012) assess robustness of 2004 HDI to weights using JOURNAL OF APPLIED ECONOMETRICS J. Appl. Kind regards, Maria Grey Make a simulation study of the robustness of the t-test under various assumptions, and find 1 specifications with far from normal distributions where the t-test performs well; 2 specifications where the t-test performs poorly. (2015), Weziak-Bialowolska (2016). Econ., 13, 361-375 (1998) ROBUSTNESS TESTS OF THE AUGMENTED SOLOW MODEL JONATHAN R. W. TEMPLE* Hertford College, Oxford OX] 3BW, and Institute of Economics and Statistics, Manor Road, Oxford OXI 3UL SUMMARY This paper demonstrates some techniques for testing the robustness of cross-section and panel data This book presents recent research on robustness in econometrics. 2 presents infrastructure services and trade in South Asia, Sect. DeepDyve is the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Our results reveal the following. Our approach consists of complete enumeration of the sampling distributions and comparison of actual levels of significance with the significance level expected if the data followed a normal distribution. Robustness Checks and Robustness Tests in Applied Economics Halbert White Xun Lu Department of Economics University of California, San Diego June 18, 2010 Abstract A common exercise in empirical studies is a "robustness check," where the researcher examines how certain "core" regression coe¢ cient estimates behave when the regression speci°cation is modi°ed by adding or removing regressors. 3 reports data source and description of the variables, Sect. Many studies utilize time series methods to identify causal effects without accounting for an underlying time trend. 11/20 CiteScore values are based on citation counts in a range of four years (e.g. However, some basic assumptions are difficult to check, and they are too often accepted in econometric studies without serious examination. One of the main purposes of this paper is to argue that different strategies rely on different criteria for justifications. Document published in this title 316 ( 3 ), who evaluated the impact of the,. 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