Resources by carol.reyes.dulong

Information on LPG Access, Distribution Networks, and Administrative Classifications in India

Information on LPG Access, Distribution Networks, and Administrative Classifications in India

carol.reyes.dulong
Open Dataset
Creators: Prabhat Barnwal, Michigan State University
Publication Date: 2024-10-18
Creators: Prabhat Barnwal, Michigan State University

This data collection brings together administrative records, survey responses, and classification files related to access to Liquefied Petroleum Gas (LPG) in India. It includes district- and state-level identifiers, household- and business-level survey data, and delivery agent records. The variables capture LPG consumption patterns, distribution coverage, delivery timelines, and implementation phases of LPG-related programs. Supplementary files provide state and district codes, census identifiers, and mappings across multiple administrative datasets, enabling harmonized geographic reference and program tracking.

California Urban, Financial, and Geographic Information (1920–1940)

California Urban, Financial, and Geographic Information (1920–1940)

carol.reyes.dulong
Open Dataset
Creators: Sarah Quincy, Vanderbilt University
Publication Date: 2024-09-16
Creators: Sarah Quincy, Vanderbilt University

This collection compiles historical data on California cities spanning primarily 1920 to 1940, integrating demographic, geographic, economic, and financial information to support research on urban development, banking, and social inequality during the interwar period. It includes census-based city-level summaries from 1920, 1930, and 1940; GIS files mapping the presence or absence of Bank of America branches; historical banking records detailing branch openings, balance sheets, and building and loan associations; city-level housing and property value assessments; per capita income indicators; and geographic crosswalks linking census enumeration districts across time. Together, these data enable analyses of financial access, institutional expansion, and the effects of the Great Depression across diverse California communities.

Operational Dynamics and Behavioral Monitoring in the Congolese Traffic Police System

Operational Dynamics and Behavioral Monitoring in the Congolese Traffic Police System

carol.reyes.dulong
Open Dataset
Creators: Raul Sanchez de la Sierra, University of Chicago and National Bureau of Economics Research; Kristof Titeca, Antwerp University ; Stan (Haoyang) Xie, University of Chicago; Aimable (Amani) Lameke, Marakuja Kivu Research; Albert Malukisa Nkuku, University Catholique du Congo
Publication Date: 2024-09-20
Creators: Raul Sanchez de la Sierra, University of Chicago and National Bureau of Economics Research; Kristof Titeca, Antwerp University ; Stan (Haoyang) Xie, University of Chicago; Aimable (Amani) Lameke, Marakuja Kivu Research; Albert Malukisa Nkuku, University Catholique du Congo

This dataset bundle offers a granular and multi-layered view into the operations, enforcement behavior, and financial dynamics of the Congolese traffic police across three distinct branches. The data include daily, hourly, and event-level logs of traffic stops, allegations, income, and quotas at the station–intersection level. Observational surveys, station-level descriptive indicators, and randomized treatment rosters allow tracking of quota imposition, officer behavior, and revenue patterns under varying policy and enforcement conditions. Additional linkage files connect street-level incidents with specific enforcement units, enabling relational analysis. This compilation supports both experimental and descriptive evaluations of institutional behavior, accountability mechanisms, and state-society interactions in urban governance contexts.

Evaluation Data from a Conditional Cash Transfer Program and Educational Outcomes

Evaluation Data from a Conditional Cash Transfer Program and Educational Outcomes

carol.reyes.dulong
Open Dataset
Creators: Paul Goldsmith-Pinkham, Yale University; Peter Hull, Brown University; Michal Kolesar, Princeton University
Publication Date: 2024-09-13
Creators: Paul Goldsmith-Pinkham, Yale University; Peter Hull, Brown University; Michal Kolesar, Princeton University

This dataset collection supports the evaluation of a Conditional Cash Transfer (CCT) program designed to improve school attendance and learning outcomes. It includes baseline, endline, and monitoring surveys at the household and school levels, along with administrative records on program delivery, stratification data for experimental assignment, and dropout tracking. Student-level files contain assessment scores and structured profiles, while school visit records detail infrastructure and teacher inputs. Additional datasets document treatment assignment, outcomes across waves, and contextual variables such as household income and school participation. The data are structured for longitudinal analysis and impact evaluation through randomized and stratified designs at the student, household, and school levels.

Industry-Level Policy and Economic Indicators for Indian Sectors

Industry-Level Policy and Economic Indicators for Indian Sectors

carol.reyes.dulong
Open Dataset
Creators: Natalie Bau, Adrien Matray
Publication Date: 2023-01-01
Creators: Natalie Bau, Adrien Matray

This dataset collection compiles firm- and sector-level data to support the analysis of economic activity and policy conditions across Indian industries. It includes measures of foreign direct investment (FDI) restrictions at multiple NIC classification levels, tariff schedules, dereservation indicators, and state-level financial development variables. Additionally, it provides merged datasets linking financial indicators from the Reserve Bank of India (RBI) with NIC-based classifications. To ensure comparability over time, the collection contains crosswalks between NIC codes and a variety of deflators, covering output, input, capital, and GDP, along with currency conversion rates. These files enable real-term adjustments and longitudinal consistency in economic indicators, facilitating empirical research on industrial dynamics and regulatory environments.

Elite Backgrounds, Career Paths, and Promotion Patterns in the Chinese Communist Party (CCP)

Elite Backgrounds, Career Paths, and Promotion Patterns in the Chinese Communist Party (CCP)

carol.reyes.dulong
Open Dataset
Creators: Patrick Francois, Francesco Trebbi, Kairong Xiao
Publication Date: 2023-03-01
Creators: Patrick Francois, Francesco Trebbi, Kairong Xiao

This dataset collection contains detailed individual-level data on members of the Chinese Communist Party (CCP), primarily from the 19th Central Committee and related leadership bodies. The data include variables on personal demographics (e.g., gender, ethnicity, education), career trajectories (e.g., office tenures, geographic placements, sectoral experience), and elite backgrounds (e.g., military service, red/technocratic family origins, bureaucratic ties). Several datasets focus on promotion outcomes and covariates relevant for regression analysis, while others record coded biographical information from public sources such as official CCP documents and media reports. Variables span institutional affiliations, cadre rank levels, prior leadership experience, and exposure to national vs. local governance. This structure enables analysis of determinants of elite selection and promotion within the CCP hierarchy.

Macroeconomic Time Series for Policy Shock Analysis

Macroeconomic Time Series for Policy Shock Analysis

carol.reyes.dulong
Open Dataset
Creators: Alisdair McKay, Christian K. Wolf
Publication Date: 2023-09-01
Creators: Alisdair McKay, Christian K. Wolf

This dataset provides macroeconomic time-series variables prepared for structural vector autoregression (VAR) analysis. It includes indicators such as real output, inflation, interest rates, and monetary policy shocks. The variables are formatted to support empirical evaluation of policy scenarios through VAR-based counterfactual exercises. Metadata from the accompanying documentation clarifies variable transformations and modeling roles within the policy identification framework.

Cereal Products, Nutritional Composition, and Market Prices

Cereal Products, Nutritional Composition, and Market Prices

carol.reyes.dulong
Open Dataset
Creators: Nano Barahona, Cristóbal Otero, Sebastián Otero
Publication Date: 2023-05-01
Creators: Nano Barahona, Cristóbal Otero, Sebastián Otero

This dataset collection integrates product-level and time-series data related to cereal and grain products. It includes nutritional composition data from various years and sources, detailed product characteristics from scanned records and field observations, consumer belief responses linked to product features, and historical commodity price trends for key ingredients such as cocoa, corn, oats, rice, sugar, and wheat. Additionally, a week-to-date mapping file supports temporal alignment across datasets. Together, these files enable the analysis of nutritional trends, consumer perceptions, and pricing dynamics in the cereal product market.

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