David T. Jacho‐Chávez

553 total citations
46 papers, 299 citations indexed

About

David T. Jacho‐Chávez is a scholar working on Statistics and Probability, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, David T. Jacho‐Chávez has authored 46 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 16 papers in Economics and Econometrics and 13 papers in General Economics, Econometrics and Finance. Recurrent topics in David T. Jacho‐Chávez's work include Statistical Methods and Inference (22 papers), Financial Risk and Volatility Modeling (9 papers) and Advanced Statistical Methods and Models (8 papers). David T. Jacho‐Chávez is often cited by papers focused on Statistical Methods and Inference (22 papers), Financial Risk and Volatility Modeling (9 papers) and Advanced Statistical Methods and Models (8 papers). David T. Jacho‐Chávez collaborates with scholars based in United States, Canada and United Kingdom. David T. Jacho‐Chávez's co-authors include Kim P. Huynh, Juan Carlos Escanciano, Arthur Lewbel, Oliver B. Linton, Oleksiy Kryvtsov, Marcel Voia, Robert J. Petrunia, Oleksandr Shepotylo, Xiaohong Chen and Oliver Linton and has published in prestigious journals such as Journal of the American Statistical Association, American Economic Review and Journal of Econometrics.

In The Last Decade

David T. Jacho‐Chávez

41 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David T. Jacho‐Chávez United States 10 141 120 87 55 39 46 299
M. Qamarul Islam Türkiye 12 155 1.1× 96 0.8× 57 0.7× 30 0.5× 18 0.5× 32 340
Xiaohong Chen United States 6 125 0.9× 183 1.5× 138 1.6× 58 1.1× 21 0.5× 15 372
Anna Mikusheva United States 11 193 1.4× 152 1.3× 201 2.3× 108 2.0× 13 0.3× 21 426
Songnian Chen Hong Kong 13 333 2.4× 226 1.9× 85 1.0× 38 0.7× 37 0.9× 49 541
Tiemen Woutersen United States 8 109 0.8× 142 1.2× 80 0.9× 69 1.3× 13 0.3× 24 271
Chor-yiu Sin Taiwan 10 96 0.7× 222 1.9× 161 1.9× 147 2.7× 39 1.0× 19 428
Federico A. Bugni United States 9 252 1.8× 105 0.9× 47 0.5× 33 0.6× 22 0.6× 19 377
Carlos M. Urzúa Mexico 9 44 0.3× 256 2.1× 166 1.9× 64 1.2× 11 0.3× 27 383
Kimio Morimune Japan 12 168 1.2× 157 1.3× 108 1.2× 80 1.5× 15 0.4× 37 380

Countries citing papers authored by David T. Jacho‐Chávez

Since Specialization
Citations

This map shows the geographic impact of David T. Jacho‐Chávez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David T. Jacho‐Chávez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Jacho‐Chávez more than expected).

Fields of papers citing papers by David T. Jacho‐Chávez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Jacho‐Chávez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David T. Jacho‐Chávez. The network helps show where David T. Jacho‐Chávez may publish in the future.

Co-authorship network of co-authors of David T. Jacho‐Chávez

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Jacho‐Chávez. A scholar is included among the top collaborators of David T. Jacho‐Chávez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David T. Jacho‐Chávez. David T. Jacho‐Chávez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huynh, Kim P., et al.. (2024). Estimating Social Effects with Randomized and Observational Network Data. 13(2). 205–224.
2.
Huynh, Kim P., et al.. (2024). Abstract readability: Evidence from top-5 economics journals. Economics Letters. 235. 111541–111541. 1 indexed citations
3.
Huynh, Kim P., et al.. (2023). We didn’t start the fire: Effects of a natural disaster on consumers’ financial distress. Journal of Environmental Economics and Management. 119. 102790–102790. 13 indexed citations
4.
Huynh, Kim P., et al.. (2021). Estimating social effects in a multilayered Linear-in-Means model with network data. Statistics & Probability Letters. 183. 109331–109331. 1 indexed citations
5.
Huynh, Kim P., et al.. (2020). Econometrics Pedagogy and Cloud Computing: Training the Next Generation of Economists and Data Scientists. 10(1). 89–102. 1 indexed citations
6.
Huynh, Kim P., David T. Jacho‐Chávez, & Gautam Tripathi. (2019). The Econometrics of Complex Survey Data. 3 indexed citations
7.
Huynh, Kim P., et al.. (2019). Productivity and Reallocation: Evidence from Ecuadorian Firm-Level Data. Economía. 20(1). 83–110. 1 indexed citations
8.
Huynh, Kim P., et al.. (2016). Income and Democracy: A Smooth Varying Coefficient Redux. Journal of Applied Econometrics. 32(3). 719–724. 9 indexed citations
9.
Huynh, Kim P., et al.. (2015). The evolution of firm-level distributions for Ukrainian manufacturing firms. Journal of Comparative Economics. 44(1). 148–162. 13 indexed citations
10.
Huynh, Kim P., et al.. (2015). Flexible Estimation of Copulas: An Application to the US Housing Crisis. Journal of Applied Econometrics. 31(3). 603–610. 13 indexed citations
11.
Jacho‐Chávez, David T., et al.. (2012). k-NEAREST NEIGHBOR ESTIMATION OF INVERSE-DENSITY-WEIGHTED EXPECTATIONS WITH DEPENDENT DATA. Econometric Theory. 28(4). 769–803. 6 indexed citations
12.
Huynh, Kim P., David T. Jacho‐Chávez, Robert J. Petrunia, & Marcel Voia. (2011). Functional Principal Component Analysis of Density Families with Categorical and Continuous Data on Canadian Entrant Manufacturing Firms. SSRN Electronic Journal.
13.
Jacho‐Chávez, David T., et al.. (2011). k -Nearest Neighbour Estimation of Inverse-Density-Weighted Expectations with Dependent Data. SSRN Electronic Journal. 2 indexed citations
14.
Jacho‐Chávez, David T., et al.. (2010). Empirical Likelihood for Efficient Semiparametric Average Treatment Effects. Econometric Reviews. 30(1). 1–24. 7 indexed citations
15.
Jacho‐Chávez, David T.. (2009). Uniform in Bandwidth Consistency of Smooth Varying Coefficient Estimators. Economics bulletin. 29(3). 1889–1895. 1 indexed citations
16.
Jacho‐Chávez, David T.. (2008). k nearest-neighbor estimation of inverse density weighted expectations. Economics bulletin. 3(48). 1–6. 4 indexed citations
17.
Huynh, Kim P. & David T. Jacho‐Chávez. (2008). Growth and governance: A nonparametric analysis. Journal of Comparative Economics. 37(1). 121–143. 5 indexed citations
18.
Escanciano, Juan Carlos & David T. Jacho‐Chávez. (2008). Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications. Computational Statistics & Data Analysis. 54(3). 625–636. 7 indexed citations
19.
Huynh, Kim P. & David T. Jacho‐Chávez. (2007). Conditional density estimation: an application to the Ecuadorian manufacturing sector. Economics bulletin. 3(62). 1–6. 8 indexed citations
20.
Huynh, Kim P. & David T. Jacho‐Chávez. (2007). Internally-Corrected Conditional Density Estimation. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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