cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e137761
title: Data and Code for: Identifying Students at Risk Using a New Math Skills Assessment

description: Math skills are critical for success in economics courses. Introductory courses require students to do unit conversions, understand percentages, and translate word problems into mathematics. Students must also be able to work with graphs and solve algebraic equations. Intermediate level courses in theory and econometrics often require students to differentiate functions, solve optimization problems, and compute integrals. Students without these skills usually perform poorly or drop their economics courses midway through the semester.<br><br>If students-at-risk can be identified at the beginning of the term, they can be given the support they need to succeed. This support may take the form of a nudge to attend office hours regularly or use a department tutoring service. It may also involve enrolling them in a supplemental course during the term or even postponing the economics course until they take an alternative dedicated to significantly improving their math skills (Foster et al., CTREE 2019). All students therefore receive the support they need from the very beginning of the semester, and faculty can dedicate their scarce classroom time to teaching economics instead of basic math. <br><br>In this paper we present two new assessments that economics instructors can use to evaluate students and identify those with weak math skills early in the semester. The MESA-Foundations (Mathematics for Economics Skills Assessment - Foundations) instrument tests explicitly defined learning goals in arithmetic, graphs, and algebra. MESA-Intermediate shares the MESA-Foundations questions on algebra and graphs and adds a set of questions that evaluate calculus skills. Both assessments are multiple choice and are designed to be completed in under 45 minutes without a calculator. In our paper we show how our assessments, given at the beginning of the term, predicted performance of 900 students in an introductory microeconomics class and 300 students in an intermediate microeconomic theory class. We analyze course completion and exam grades in both courses. We use Lasso estimation to identify optimal thresholds for interventions described above.
description: Response Rates: We analyze students who enrolled in introductory and intermediate micro economics in fall and spring 2019. 96% of the introductory micro students completed our math assessment while 87% of the intermediate micro students completed it.
description: Our sample starts with all students who were enrolled in intro micro in Fall 2019 and all students enrolled in intermediate micro in Fall 2019 or Spring 2019. We analyze those students for who we have complete assessment and administrative data and who completed the courses.
DOI: 10.3886/e137761v1
title: Data and Code for: Identifying Students at Risk Using a New Math Skills Assessment

description: Math skills are critical for success in economics courses. Introductory courses require students to do unit conversions, understand percentages, and translate word problems into mathematics. Students must also be able to work with graphs and solve algebraic equations. Intermediate level courses in theory and econometrics often require students to differentiate functions, solve optimization problems, and compute integrals. Students without these skills usually perform poorly or drop their economics courses midway through the semester.<br><br>If students-at-risk can be identified at the beginning of the term, they can be given the support they need to succeed. This support may take the form of a nudge to attend office hours regularly or use a department tutoring service. It may also involve enrolling them in a supplemental course during the term or even postponing the economics course until they take an alternative dedicated to significantly improving their math skills (Foster et al., CTREE 2019). All students therefore receive the support they need from the very beginning of the semester, and faculty can dedicate their scarce classroom time to teaching economics instead of basic math. <br><br>In this paper we present two new assessments that economics instructors can use to evaluate students and identify those with weak math skills early in the semester. The MESA-Foundations (Mathematics for Economics Skills Assessment - Foundations) instrument tests explicitly defined learning goals in arithmetic, graphs, and algebra. MESA-Intermediate shares the MESA-Foundations questions on algebra and graphs and adds a set of questions that evaluate calculus skills. Both assessments are multiple choice and are designed to be completed in under 45 minutes without a calculator. In our paper we show how our assessments, given at the beginning of the term, predicted performance of 900 students in an introductory microeconomics class and 300 students in an intermediate microeconomic theory class. We analyze course completion and exam grades in both courses. We use Lasso estimation to identify optimal thresholds for interventions described above.
description: Response Rates: We analyze students who enrolled in introductory and intermediate micro economics in fall and spring 2019. 96% of the introductory micro students completed our math assessment while 87% of the intermediate micro students completed it.
description: Our sample starts with all students who were enrolled in intro micro in Fall 2019 and all students enrolled in intermediate micro in Fall 2019 or Spring 2019. We analyze those students for who we have complete assessment and administrative data and who completed the courses.
DOI: 10.21223/onggt2/rahrrw
title: 02 Laboratory_data_k_2_38_2020.tab

description: :unav
DOI: 10.21223/onggt2/jtzkr1
title: 05 Dictionary_k_2_38_2020.tab

description: :unav
DOI: 10.21223/onggt2/52urph
title: 03 Calibration_Validation_k_2_38_2020.tab

description: :unav
DOI: 10.21223/onggt2/aqafog
title: 01 Spectral_data_k_2_38_2020.xlsx

description: :unav
DOI: 10.21223/onggt2/uwl7vu
title: 04 Description_data_k_2_38_2020.tab

description: :unav
DOI: 10.21223/onggt2
title: Dataset for: RTBfoods K.2.36- Spectral database on NIRS on raw fresh grated sweetpotato (mix grounded)

description: Up to 4 SP roots per genotype were peeled, cut longitudinal, sliced and grinded. One spectral was taken per grated sample. Procedures for sampling and sample preparation NIRS measurement on raw FRESH GROUND sweet potato, SP root samples harvested in 2 locations in Uganda at 11/2019 (60 genotypes). NIR instrument used was Foss XDS, serial number 30101714, and analysis 60 spectra (1 representing 1 genotype).
DOI: 10.3886/e137201
title: Data and code for: Investor Herding and Spillovers in African Debt Markets.

description: Using high-frequency data for sovereign long-term bond yields and 5-year CDS spreads, we estimate a regression model to identify a non-linear link between cross-section deviation of market yield and extreme movements in African markets and other regions. Results indicate that African sovereign bonds have been subject to herding. International investors tend to lump African sovereign bonds into one asset class, pricing risk based on regional market performance instead of on individual countries' performance. Moreover, we find evidence of herding spillovers from other regions. Africa is the most vulnerable of developing regions to shifts in market sentiment. <br>
DOI: 10.3886/e137201v1
title: Data and code for: Investor Herding and Spillovers in African Debt Markets.

description: Using high-frequency data for sovereign long-term bond yields and 5-year CDS spreads, we estimate a regression model to identify a non-linear link between cross-section deviation of market yield and extreme movements in African markets and other regions. Results indicate that African sovereign bonds have been subject to herding. International investors tend to lump African sovereign bonds into one asset class, pricing risk based on regional market performance instead of on individual countries' performance. Moreover, we find evidence of herding spillovers from other regions. Africa is the most vulnerable of developing regions to shifts in market sentiment. <br>
DOI: 10.3886/e137321
title: Data and Code for: Pandemic Protocols, Native Nutrition: Grocery Store Access from American Indian Reservation during COVID-19

description: We know little about the impact of social distancing policies on the residents of tribal reservations that tend to have lower levels of infrastructure and resources than neighboring towns or cities. A public health emergency such as the pandemic and the resulting restrictions and closures could further impede access to quality food for populations that customarily have less availability of fresh food options. We study some of these effects using mobile phone data. We investigate how the implementation of non-pharmaceutical interventions affected travel to convenience stores and supermarkets on AI lands relative to the rest of the country. We compare the average distance traveled and the type of grocery store destination for those households residing on reservations to those residing off reservations over 2019 and 2020. <br>
DOI: 10.3886/e137321v1
title: Data and Code for: Pandemic Protocols, Native Nutrition: Grocery Store Access from American Indian Reservation during COVID-19

description: We know little about the impact of social distancing policies on the residents of tribal reservations that tend to have lower levels of infrastructure and resources than neighboring towns or cities. A public health emergency such as the pandemic and the resulting restrictions and closures could further impede access to quality food for populations that customarily have less availability of fresh food options. We study some of these effects using mobile phone data. We investigate how the implementation of non-pharmaceutical interventions affected travel to convenience stores and supermarkets on AI lands relative to the rest of the country. We compare the average distance traveled and the type of grocery store destination for those households residing on reservations to those residing off reservations over 2019 and 2020. <br>
DOI: 10.3886/e136822
title: Data and Code for: Minimum Grade Requirements for Economics Majors: Effects on Enrollments and Student Learning

description: Many economics departments have adopted requirements that majors must achieve minimum grades, above the passing standard, in core classes in order to complete the major. This paper studies the adoption of such a policy at one college, looking at data on enrollments and grades in a ten year window, five years before and five years after the change of policy. The policy reduced the number of majors in the department by approximately 6%. This slowed the growth in majors in the department but did not eliminate it. The fraction of grades of C- and D (which required a student to retake the course or change majors) dropped substantially after the implementation of the policy, while the fraction of grades of C (the minimum acceptable grade) did not change and the fraction of grades in the C+ to B range rose. The policy most likely worked by increasing effort by students who were both below and somewhat above the minimum performance standard.
DOI: 10.3886/e136822v1
title: Data and Code for: Minimum Grade Requirements for Economics Majors: Effects on Enrollments and Student Learning

description: Many economics departments have adopted requirements that majors must achieve minimum grades, above the passing standard, in core classes in order to complete the major. This paper studies the adoption of such a policy at one college, looking at data on enrollments and grades in a ten year window, five years before and five years after the change of policy. The policy reduced the number of majors in the department by approximately 6%. This slowed the growth in majors in the department but did not eliminate it. The fraction of grades of C- and D (which required a student to retake the course or change majors) dropped substantially after the implementation of the policy, while the fraction of grades of C (the minimum acceptable grade) did not change and the fraction of grades in the C+ to B range rose. The policy most likely worked by increasing effort by students who were both below and somewhat above the minimum performance standard.
DOI: 10.3886/e130645
title: Data and Code for "Who Gets their First Job at a Large Firm? The Distinct Roles of Education and Skills"

description: Young workers’ early years in the labor market are a key and formative time. Using data from 31 countries, this article documents the selection of labor market entrants into large firms, which existing literature associates with propitious environments for young workers. The young and inexperienced are underrepresented at large firms compared to experienced and older workers. Entrants who do get their first job at large firms are positively selected in terms of education and cognitive skills. The patterns of large-firm selection (i.e., importance of education vs. skills) somewhat differ between Europe, East and Southeast Asia, and North America.<br>
DOI: 10.3886/e130645v1
title: Data and Code for "Who Gets their First Job at a Large Firm? The Distinct Roles of Education and Skills"

description: Young workers’ early years in the labor market are a key and formative time. Using data from 31 countries, this article documents the selection of labor market entrants into large firms, which existing literature associates with propitious environments for young workers. The young and inexperienced are underrepresented at large firms compared to experienced and older workers. Entrants who do get their first job at large firms are positively selected in terms of education and cognitive skills. The patterns of large-firm selection (i.e., importance of education vs. skills) somewhat differ between Europe, East and Southeast Asia, and North America.<br>
DOI: 10.3886/e130648
title: Data and Code for: Estimation and Inference of Structural Models by Stochastic Optimization

description: <br>Repeated optimizations required to compute parameter estimates and bootstrap standard errors of complex models can be computationally burdensome. In Forneron and Ng (2020), we design a resampled Newton-Raphson algorithm (rnr) that provides consistent estimates and valid standard errors in one run of the optimizer. The key insight is that the algorithm serves as a resampling device to produce a Markov chain of iterates with desirable properties. In this paper, we illustrate that rnr can speed up BLP estimation from almost five hours using standard (n out of n) bootstrap to just over an hour and can be further reduced to fifteen minutes using a resampled quasi-Newton (rqn) algorithm that does not directly compute the Hessian. A Monte-Carlo exercise using Probit IV regressions shows that rnr and rqn provide accurate estimates and coverage. The appeal of the proposed approach goes beyond faster computation. A re-sampling based indirect inference estimator not only produces standard errors easily, but is also more efficient than one obtained by classical optimization. This is illustrated by a dynamic panel model example.<br>
DOI: 10.3886/e130648v1
title: Data and Code for: Estimation and Inference of Structural Models by Stochastic Optimization

description: <br>Repeated optimizations required to compute parameter estimates and bootstrap standard errors of complex models can be computationally burdensome. In Forneron and Ng (2020), we design a resampled Newton-Raphson algorithm (rnr) that provides consistent estimates and valid standard errors in one run of the optimizer. The key insight is that the algorithm serves as a resampling device to produce a Markov chain of iterates with desirable properties. In this paper, we illustrate that rnr can speed up BLP estimation from almost five hours using standard (n out of n) bootstrap to just over an hour and can be further reduced to fifteen minutes using a resampled quasi-Newton (rqn) algorithm that does not directly compute the Hessian. A Monte-Carlo exercise using Probit IV regressions shows that rnr and rqn provide accurate estimates and coverage. The appeal of the proposed approach goes beyond faster computation. A re-sampling based indirect inference estimator not only produces standard errors easily, but is also more efficient than one obtained by classical optimization. This is illustrated by a dynamic panel model example.<br>
DOI: 10.3886/e130685
title: Data and Code for: High Frequency Data and a Weekly Economic Index during the Pandemic

description: The code in this replication folder constructs the figures for High Frequency Data and a Weekly Economic Index during the Pandemic, Lewis, Mertens, Stock, and Trivedi (2021). It contains the subset of required data that can be made publicly available.
DOI: 10.3886/e130685v1
title: Data and Code for: High Frequency Data and a Weekly Economic Index during the Pandemic

description: The code in this replication folder constructs the figures for High Frequency Data and a Weekly Economic Index during the Pandemic, Lewis, Mertens, Stock, and Trivedi (2021). It contains the subset of required data that can be made publicly available.
DOI: 10.3886/e130744
title: Data and Code for: Cycles of Fire? Politics and Forest Burning in Indonesia

description: This folder contains replication data and code for the journal article "Cycles of Fire? Politics and Forest Burning in Indonesia", American Economics Association: Papers and Proceedings, 2021.
description: Subset of Indonesian districts (kabupaten).
DOI: 10.3886/e130744v1
title: Data and Code for: Cycles of Fire? Politics and Forest Burning in Indonesia

description: This folder contains replication data and code for the journal article "Cycles of Fire? Politics and Forest Burning in Indonesia", American Economics Association: Papers and Proceedings, 2021.
description: Subset of Indonesian districts (kabupaten).
DOI: 10.25345/c5xf8d
title: MassIVE MSV000087327 - GNPS- ZH Training Dataset - Human/Cattle Extraction Trial
title: A trial run was completed on a training dataset including cattle and human fecal metabolite extractions.
DOI: 10.3886/e135481
title: Data and Code for: Does Advisor Gender Affect Women's Persistence in Economics?

description: Women persist in the field of economics at significantly lower rates than men. We show that the gender of an academic advisor is an important determinant of female undergraduates' persistence in economics. We use data from a 4-year college where first-year economics majors are randomly assigned to advisors who are also faculty members in the economics department. Advisors help students choose courses and monitor their academic progress. We find that having a female rather than a male advisor reduces female students' first-year dropout rates and increases their likelihood of graduating with an economics degree.
description: First-time enrolling university students at the American University of Beirut. Smallest Geographic Unit: Lebanon
DOI: 10.15468/dl.ct9ygd
title: Occurrence Download

description: A dataset containing 2975 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tetrápodos de Uruguay"
 ]
}

 The dataset includes 2975 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008248-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-55888
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.485a4q
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mostacillastrum purpusii (Brandegee) Al-Shehbaz"
 ]
}

 The dataset includes 117 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063774-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah6ilb
title: Occurrence Download

description: A dataset containing 1769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Country is Mexico"
 ]
 },
 "Year 1970-2000",
 "HasCoordinate is true",
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1769 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000055-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jwu2w
title: Occurrence Download

description: A dataset containing 4785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-78.98696 0.6295,-72.99174 -0.26122,-65.39922 6.13225,-70.69643 12.27734,-77.58237 10.56443,-77.75366 9.60519,-78.23328 5.1516,-78.98696 0.6295))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Didelphis marsupialis Linnaeus, 1758"
 ]
}

 The dataset includes 4785 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041519-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f628np
title: Occurrence Download

description: A dataset containing 18176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megachile pyrenaica Lepeletier, 1841, Megachile sculpturalis Smith, 1853, Megacollybia platyphylla (Pers.) Kotl. & Pouzar)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 18176 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0359185-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.