Regression Quantiles

The Log of Gravity

Silva, J. M. C. S., & Tenreyro, S. (2006) · The Review of Economics and Statistics · doi:10.1162/rest.88.4.641 · Cited by 6,408

Gut microbiota composition correlates with diet and health in the elderly

Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314

Soil Organic Carbon Sequestration Rates by Tillage and Crop Rotation: A Global Data Analysis

West, T. O., & Post, W. M. (2002) · Soil Science Society of America Journal · doi:10.2136/sssaj2002.1930 · Cited by 2,215

Chapter 36 Large sample estimation and hypothesis testing

Newey, W. K., & McFadden, D. (1994) · Handbook of Econometrics · doi:10.1016/s1573-4412(05)80005-4 · Cited by 1,743

Large wildfire trends in the western United States, 1984–2011

Dennison, P. E., Brewer, S. C., Arnold, J. D., & Moritz, M. A. (2014) · Geophysical Research Letters · doi:10.1002/2014gl059576 · Cited by 1,322

Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis

Boudreau, K. J., Lacetera, N., & Lakhani, K. R. (2011) · Management Science · doi:10.1287/mnsc.1110.1322 · Cited by 830

Role of information and communication technologies and innovation in driving carbon emissions and economic growth in selected G-20 countries

Nguyen, T. T., Pham, T. A. T., & Tram, H. T. X. (2020) · Journal of Environmental Management · doi:10.1016/j.jenvman.2020.110162 · Cited by 494

The Development of Gender Achievement Gaps in Mathematics and Reading During Elementary and Middle School: Examining Direct Cognitive Assessments and Teacher Ratings

Robinson, J. P., & Lubienski, S. T. (2011) · American Educational Research Journal · doi:10.3102/0002831210372249 · Cited by 442

Quantile cointegrating regression

Xiao, Z. (2009) · Journal of Econometrics · doi:10.1016/j.jeconom.2008.12.005 · Cited by 431

A K -fold averaging cross-validation procedure

Jung, Y., & Hu, J. (2015) · Journal of Nonparametric Statistics · doi:10.1080/10485252.2015.1010532 · Cited by 401

Do Highly Paid, Highly Skilled Women Experience the Largest Motherhood Penalty?

England, P., Bearak, J., Budig, M. J., & Hodges, M. J. (2016) · American Sociological Review · doi:10.1177/0003122416673598 · Cited by 365

Life history theory predicts fish assemblage response to hydrologic regimes

Mims, M. C., & Olden, J. D. (2012) · Ecology · doi:10.1890/11-0370.1 · Cited by 325

Long-term impacts of prescribed burning on regional extent and incidence of wildfires-Evidence from 50 years of active fire management in SW Australian forests

Boer, M. M., Sadler, R. J., Wittkuhn, R. S., McCaw, L., & Grierson, P. F. (2009) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.10.005 · Cited by 309

How to address non-normality: a taxonomy of approaches, reviewed, and illustrated

Pek, J., Wong, O., & Wong, A. C. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02104 · Cited by 307

A revised birth weight reference for the United States

Duryea, E. L., Hawkins, J. S., McIntire, D. D., Casey, B. M., & Leveno, K. J. (2014) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000000345 · Cited by 239

Conformalized Quantile Regression

Romano, Y., Patterson, E., & Candès, E. J. (2019) · arXiv · doi:10.48550/arxiv.1905.03222 · Cited by 236

The World Health Organization fetal growth charts: concept, findings, interpretation, and application

Kiserud, T., Benachi, A., Hecher, K., Perez, R. G., Carvalho, J., Piaggio, G., & Platt, L. D. (2018) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.12.010 · Cited by 228

Demand Heterogeneity in Platform Markets: Implications for Complementors

Rietveld, J., & Eggers, J. P. (2018) · Organization Science · doi:10.1287/orsc.2017.1183 · Cited by 221

Seasonal drought limits tree species across the Neotropics

Esquivel‐Muelbert, A., Baker, T. R., Dexter, K. G., Lewis, S. L., ter Steege, H., Lopez‐Gonzalez, G., Monteagudo Mendoza, A., Brienen, R., Feldpausch, T. R., Pitman, N., et al. (2017) · Ecography · doi:10.1111/ecog.01904 · Cited by 216

Measures of “Race” and the analysis of racial inequality in Brazil

Bailey, S. R., Loveman, M., & Muniz, J. O. (2013) · Social Science Research · doi:10.1016/j.ssresearch.2012.06.006 · Cited by 169

Conformal Inference of Counterfactuals and Individual Treatment Effects

Lei, L., & Candès, E. J. (2021) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12445 · Cited by 166

Simulating Agriculture in the Community Land Model Version 5

Lombardozzi, D. L., Lu, Y., Lawrence, P. J., Lawrence, D. M., Swenson, S., Oleson, K. W., Wieder, W. R., & Ainsworth, E. A. (2020) · Journal of Geophysical Research: Biogeosciences · doi:10.1029/2019jg005529 · Cited by 141

COVID-19 predictability in the United States using Google Trends time series

Mavragani, A., & Gkillas, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-77275-9 · Cited by 140

Polygenic risk score of sporadic late‐onset Alzheimer's disease reveals a shared architecture with the familial and early‐onset forms

Cruchaga, C., Del‐Aguila, J. L., Saef, B., Black, K., Fernandez, M. V., Budde, J., Ibanez, L., Deming, Y., Kapoor, M., Tosto, G., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.08.013 · Cited by 138

Batch effects removal for microbiome data via conditional quantile regression

Ling, W., Lu, J., Zhao, N., Lulla, A., Plantinga, A. M., Fu, W., Zhang, A., Liu, H., Song, H., Li, Z., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33071-9 · Cited by 136

Agronomic Practices for Reducing Wheat Yield Gaps: A Quantitative Appraisal of Progressive Producers

Lollato, R. P., Ruiz Diaz, D. A., DeWolf, E., Knapp, M., Peterson, D. E., & Fritz, A. K. (2019) · Crop Science · doi:10.2135/cropsci2018.04.0249 · Cited by 131

The effect of the Fourth Industrial Revolution on the environment: The relationship between electronic finance and pollution in OECD countries

Elheddad, M., Benjasak, C., Deljavan, R., Alharthi, M., & Almabrok, J. M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120485 · Cited by 130

Nonstandard Errors

MENKVELD, A. J., DREBER, A., HOLZMEISTER, F., HUBER, J., JOHANNESSON, M., KIRCHLER, M., NEUSÜß, S., RAZEN, M., WEITZEL, U., ABAD‐DÍAZ, D., et al. (2024) · The Journal of Finance · doi:10.1111/jofi.13337 · Cited by 113

Relationships between Human Population Density and Burned Area at Continental and Global Scales

Bistinas, I., Oom, D., Sá, A. C. L., Harrison, S. P., Prentice, I. C., & Pereira, J. M. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081188 · Cited by 110

The halo effect: A longitudinal approach

Nicolau, J. L., Mellinas, J. P., & Martín-Fuentes, E. (2020) · Annals of Tourism Research · doi:10.1016/j.annals.2020.102938 · Cited by 103

Growth equations: a quantile regression exploration

Mello, M., & Perrelli, R. (2003) · The Quarterly Review of Economics and Finance · doi:10.1016/s1062-9769(03)00043-7 · Cited by 93

Natural resources tax volatility and economic performance: Evaluating the role of digital economy

Ma, Q., Mentel, G., Zhao, X., Salahodjaev, R., & Kuldasheva, Z. (2022) · Resources Policy · doi:10.1016/j.resourpol.2021.102510 · Cited by 91

The burden of travel for care and its influencing factors in China: An inpatient-based study of travel time

Wang, Q., Jiang, Q., Yang, Y., & Pan, J. (2022) · Journal of Transport & Health · doi:10.1016/j.jth.2022.101353 · Cited by 86

How Unexpected Was the 2021 Pacific Northwest Heatwave?

McKinnon, K. A., & Simpson, I. R. (2022) · Geophysical Research Letters · doi:10.1029/2022gl100380 · Cited by 83

Does an N-shaped association exist between pollution and ICT in Turkey? ARDL and quantile regression approaches

Barış-Tüzemen, Ö., Tüzemen, S., & Çelik, A. K. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-08513-w · Cited by 82

Determinants of chlorination by-products in indoor swimming pools

Bessonneau, V., Derbez, M., Clément, M., & Thomas, O. (2011) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2011.07.009 · Cited by 79

Assessing Fair Lending Risks Using Race/Ethnicity Proxies

Zhang, Y. (2018) · Management Science · doi:10.1287/mnsc.2016.2579 · Cited by 71

Sex differences in the factors influencing Korean college students' addictive tendency toward social networking sites

Chae, D., Kim, H., & Kim, Y. A. (2018) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-017-9778-3 · Cited by 65

The Role of Socio-political and Economic Factors in Fertility Decline: A Cross-country Analysis

Wang, Q., & Sun, X. (2016) · World Development · doi:10.1016/j.worlddev.2016.07.004 · Cited by 65

Advances and prospects of deep learning for medium-range extreme weather forecasting

Olivetti, L., & Messori, G. (2024) · Geoscientific Model Development · doi:10.5194/gmd-17-2347-2024 · Cited by 65

Dynamic dependence and predictability between volume and return of Non-Fungible Tokens (NFTs): The roles of market factors and geopolitical risks

Urom, C., Ndubuisi, G., & Guesmi, K. (2022) · Finance research letters · doi:10.1016/j.frl.2022.103188 · Cited by 64

Acquiring science and social studies knowledge in kindergarten through fourth grade: Conceptualization, design, implementation, and efficacy testing of content-area literacy instruction (CALI).

Connor, C. M., Dombek, J., Crowe, E. C., Spencer, M., Tighe, E. L., Coffinger, S., Zargar, E., Wood, T., & Petscher, Y. (2017) · Journal of Educational Psychology · doi:10.1037/edu0000128 · Cited by 63

Rainfall variability and trends of the past six decades (1950–2014) in the subtropical NW Argentine Andes

Castino, F., Bookhagen, B., & Strecker, M. R. (2017) · Climate Dynamics · doi:10.1007/s00382-016-3127-2 · Cited by 49

How Does Financial Development Impact Economic Growth in Pakistan?: New Evidence from Threshold Model

Department of Management Sciences, C. U., TARIQ, R., KHAN, M. A., & RAHMAN, A. (2020) · The Journal of Asian Finance, Economics and Business · doi:10.13106/jafeb.2020.vol7.no8.161 · Cited by 51

Apolipoprotein C-III, n-3 polyunsaturated fatty acids, and “insulin-resistant” T-455C APOC3 gene polymorphism in heart disease patients: example of gene-diet interaction

Olivieri, O., Martinelli, N., Sandri, M., Bassi, A., Guarini, P., Trabetti, E., Pizzolo, F., Girelli, D., Friso, S., Pignatti, P. F., et al. (2005) · Clinical Chemistry · doi:10.1373/clinchem.2004.040477 · Cited by 50

Body composition, physical performance and muscle quality of active elderly women

Vilaça, K. H. C., Carneiro, J. A. O., Ferriolli, E., Lima, N. K. D. C., Paula, F. J. A. D., & Moriguti, J. C. (2014) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2014.02.004 · Cited by 38

On the use of the RESET test in microeconometric models

Peters, S. (2000) · Applied Economics Letters · doi:10.1080/135048500351285 · Cited by 33

Altered hypothalamus-pituitary-adrenal axis function: A relevant factor in the comorbidity of atopic eczema and attention deficit/hyperactivity disorder?

Buske-Kirschbaum, A., Trikojat, K., Tesch, F., Schmitt, J., Roessner, V., Luksch, H., Rösen-Wolff, A., & Plessow, F. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.12.005 · Cited by 33

Combining Property Price Predictions from Repeat Sales and Spatially Enhanced Hedonic Regressions

Oust, A., Hansen, S. N., & Pettrem, T. R. (2020) · The Journal of Real Estate Finance and Economics · doi:10.1007/s11146-019-09723-x · Cited by 33

Monetary policy shocks and Bitcoin prices

Ma, C., Tian, Y., Hsiao, S., & Deng, L. (2022) · Research in International Business and Finance · doi:10.1016/j.ribaf.2022.101711 · Cited by 34

Asymmetric effects of corporate sustainability strategy on value creation among global automotive firms: a dynamic panel quantile regression approach

Lin, W. L., Lee, C., & Law, S. H. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2662 · Cited by 30

Examining the Average and Local Effects of a Standardized Treatment for Fourth Graders With Reading Difficulties

Wanzek, J., Petscher, Y., Al Otaiba, S., Kent, S. C., Schatschneider, C., Haynes, M., Rivas, B. K., & Jones, F. G. (2016) · Journal of Research on Educational Effectiveness · doi:10.1080/19345747.2015.1116032 · Cited by 27

Finance, growth and quantile parameter heterogeneity

Andini, M., & Andini, C. (2014) · Journal of Macroeconomics · doi:10.1016/j.jmacro.2014.01.008 · Cited by 26

Environmental and Anthropogenic Degradation of Vegetation in the Sahel from 1982 to 2006

Rishmawi, K., & Prince, S. (2016) · Remote Sensing · doi:10.3390/rs8110948 · Cited by 25

Estimating concurrent climate extremes: A conditional approach

Huang, W. K., Monahan, A. H., & Zwiers, F. W. (2021) · Weather and Climate Extremes · doi:10.1016/j.wace.2021.100332 · Cited by 23

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions

Lekeufack, J., Angelopoulos, A. N., Bajcsy, A., Jordan, M. I., & Malik, J. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra57147.2024.10610041 · Cited by 18

Demand-following or supply-leading? Trade openness and financial development in China

Fan, J.-J., Xu, R., Su, C. W., & Shi, Q.-H. (2018) · The Journal of International Trade & Economic Development · doi:10.1080/09638199.2017.1390779 · Cited by 16

Association between dietary intake and lipid-lowering therapy: prospective analysis of data from Australian diabetes, obesity, and lifestyle study (AUSDIAB) using a quantile regression approach

Gadowski, A. M., Nanayakkara, N., Heritier, S., Magliano, D. J., Shaw, J. E., Curtis, A. J., Zoungas, S., & Owen, A. J. (2019) · Nutrients · doi:10.3390/nu11081858 · Cited by 8

The distributional effects of the multi-track year-round calendar: a quantile regression approach

McMullen, S. C., Rouse, K. E., & Haan, J. (2015) · Applied Economics Letters · doi:10.1080/13504851.2015.1016204 · Cited by 8

Unpacking the financial attributes of blue-chip non-fungible tokens (NFTs) against traditional and digital assets

Havidz, S. A. H., Santoso, M. D., Alexander, T., & Caroline, C. (2024) · Asian Journal of Accounting Research · doi:10.1108/ajar-10-2023-0334 · Cited by 6

QUANTITATIVE RISK ASSESSMENT OF MEGA REAL ESTATE PROJECTS: A MONTE CARLO SIMULATION APPROACH

Chief Executive Officer (CEO), G. H. L. (. G., & Jahid, M. S. R. (2022) · Journal of Sustainable Development and Policy · doi:10.63125/nh269421 · Cited by 3