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A graphical approximation to generalization : definitions and diagrams
Martel García, Fernando; Wantchekon, Leonard - 2013
The fundamental problem of external validity is not to generalize from one experiment, so much as to experimentally test generalizable theories. That is, theories that explain the systematic variation of causal effects across contexts. Here we show how the graphical language of causal diagrams...
Persistent link: https://www.econbiz.de/10009789052
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The Long-Run Causal Relationship between Transport Energy Consumption and GDP : Evidence from Heterogeneous Panel Methods Robust to Cross-Sectional Dependence
Liddle, Brant - 2014
This paper analyzes data from 107 countries, spanning 1971-2009, and grouped into three income-based panels to determine the direction and sign of panel long-run causality between transport energy consumption per capita and real GDP per capita. The methods employed address heterogeneity and (at...
Persistent link: https://www.econbiz.de/10013062591
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IV quantile regression for group-level treatments, with an application to the distributional effects of trade
Chetverikov, Denis; Larsen, Bradley J.; Palmer, … - In: Econometrica : journal of the Econometric Society, an … 84 (2016) 2, pp. 809-833
Persistent link: https://www.econbiz.de/10011552584
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Demystifying Causal Inference : Public Policy Applications with R
Dayal, Vikram; Murugesan, Anand - 2023
John Snow and causal inference -- RStudio and R -- Regression and simulation -- Potential outcomes -- Causal graphs … -- Experiments -- Matching -- Instrumental Variables -- Regression Discontinuity Design -- Panel Data and fixed effects -- Difference … of cholera. The chapters that follow cover basic elements of R, regression, and an introduction to causality using the …
Persistent link: https://www.econbiz.de/10014375030
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Causality test of business risk and capital structure in a panel data of Nigerian listed firms
Mohammed, Dauda - In: Accounting & taxation : AT 6 (2014) 2, pp. 85-99
Persistent link: https://www.econbiz.de/10010510259
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Learning Causal Relations in Multivariate Time Series Data
Chen, Pu; Chihying, Hsiao - In: Economics: The Open-Access, Open-Assessment E-Journal 1 (2007) 2007-11, pp. 1-43
Applying a probabilistic causal approach, we define a class of time series causal models (TSCM) based on stationary Bayesian networks. A TSCM can be seen as a structural VAR identified by the causal relations among the variables. We classify TSCMs into observationally equivalent classes by...
Persistent link: https://www.econbiz.de/10010295294
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Desarrollo del mercado accionario y crecimiento económico: Alguna evidencia para la Argentina
Lanteri, Luis - 2013
This paper examines the relationship between stock market development and economic growth in case of Argentina's economy. Apply Granger causality and exogeneity tests based on VEC (vector error correction) models with monthly data covering the period 1993:1-2010:8. The results show that the...
Persistent link: https://www.econbiz.de/10010325080
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On nonparametric identification of treatment effects in duration models
Johansson, Per-Olov; Lee, Myoung-jae - 2016
We show that the main nonparametric identification finding of Abbring and Van den Berg (2003b, Econometrica) for the effect of a timing-chosen treatment on an event duration of interest does not hold. The main problem is that the identification is based on the competing-risks identification...
Persistent link: https://www.econbiz.de/10011543606
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Fiscal sustainability in the presence of structural breaks : does overconfidence on resource exports hurt government's ability to finance debt? ; evidence from Nigeria
Alhaji Jibrilla, Aliyu - In: Cogent economics & finance 4 (2016) 1, pp. 1-27
The sustainability of the Nigerian fiscal deficit along with the role of the dynamics of government revenues and spending in adjusting the size of the deficit is examined using annual data from 1961 to 2014. After allowing for structural breaks, the study finds evidence of a cointegration...
Persistent link: https://www.econbiz.de/10011487675
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Estimating more precise treatment effects in natural and actual experiments
Duleep, Harriet Orcutt; Liu, Xingfei - 2016
The importance of using natural experiments and experimental data in economic research has long been recognized. Yet, it is only in recent years that these approaches have become an integral part of the economist's analytical toolbox, thanks to the efforts of Meyer, Card, Peters, Krueger,...
Persistent link: https://www.econbiz.de/10011502792