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icon: microblog |
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description: >- |
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A ticker matched lobbying data to see fine-grained corporate lobbying |
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behaviour. |
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# Lobbying Data |
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> **Data Notice**: This dataset provides academic research access with a 6-month data lag. |
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> For real-time data access, please visit [sov.ai](https://sov.ai) to subscribe. |
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> For market insights and additional subscription options, check out our newsletter at [blog.sov.ai](https://blog.sov.ai). |
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```python |
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from datasets import load_dataset |
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df_lobbying = load_dataset("sovai/lobbying_data", split="train").to_pandas().set_index(["ticker","date"]) |
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``` |
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Data is updated weekly as data arrives after market close US-EST time. |
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`Tutorials` are the best documentation — [<mark style="color:blue;">`Lobbying Data Tutorial`</mark>](https://colab.research.google.com/github/sovai-research/sovai-public/blob/main/notebooks/datasets/Lobbying%20Analysis.ipynb) |
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<table data-column-title-hidden data-view="cards"><thead><tr><th>Category</th><th>Details</th></tr></thead><tbody><tr><td><strong>Input Datasets</strong></td><td>Lobbying Filings</td></tr><tr><td><strong>Models Used</strong></td><td>Parsing, Scraping</td></tr><tr><td><strong>Model Outputs</strong></td><td>Lobbying Data</td></tr></tbody></table> |
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## Description |
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This dataset provides detailed information on corporate lobbying activities, including spending amounts, issues lobbied, and involved entities for various companies.  |
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It offers investors, researchers, and policymakers valuable insights into corporate influence on policy-making, regulatory trends, and potential political risks, enabling more informed decision-making in areas like ESG investing, competitive analysis, and public policy research. |
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*** |
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## Data Access |
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#### Lobbying Dataset |
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The Lobbying dataset provides detailed information on lobbying activities, including client information, spending, and lobbying issues for various companies. |
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<pre class="language-python"><code class="lang-python"><strong>import sovai as sov |
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</strong><strong>df_lobbying = sov.data("lobbying/public") |
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</strong></code></pre> |
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#### Accessing Specific Tickers |
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You can also retrieve data for specific tickers. For example: |
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```python |
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df_ticker_lobbying = sov.data("lobbying/public", tickers=["WFC", "EXPGY"]) |
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``` |
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This documentation provides a clear guide on how to access the dataset, and can be easily extended or modified as needed for additional details. |
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## Data Dictionary |
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| Column Name | Description | |
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| --------------------------------- | ----------------------------------------------------------------------- | |
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| client | Name of the client company | |
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| client\_description | Description of the client's business | |
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| spend | Amount spent on lobbying | |
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| transaction\_type | Type of transaction (e.g., lobbying\_income, direct\_lobbying\_expense) | |
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| filing\_type | Type of filing | |
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| lobby\_description | Description of lobbying activities | |
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| issue\_codes | Codes representing the issues lobbied on | |
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| government\_entity\_details | Government entities involved | |
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| quarter | Quarter of the lobbying activity | |
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| effective\_date | Start date of the lobbying activity | |
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| termination\_date | End date of the lobbying activity (if applicable) | |
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| client\_state | State of the client | |
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| client\_country | Country of the client | |
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| client\_id | Unique identifier for the client | |
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| government\_lobby | Indicator for government lobbying | |
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| performing\_own\_lobbying | Indicator if the client is performing their own lobbying | |
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| registrant\_dt\_updated | Date the registrant information was updated | |
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| registrant\_name | Name of the lobbying registrant | |
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| registrant\_address | Address of the lobbying registrant | |
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| registrant\_id | Unique identifier for the registrant | |
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| registrant\_description | Description of the registrant | |
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| registrant\_contact\_name | Contact name for the registrant | |
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| registrant\_house\_registrant\_id | House ID for the registrant | |
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| registrant\_contact\_telephone | Contact telephone for the registrant | |
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| lobbyist\_full\_names | Names of the lobbyists involved | |
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| lobbyist\_ids | Unique identifiers for the lobbyists | |
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| previous\_goverment\_positions | Previous government positions held by lobbyists | |
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| lobbyist\_new\_statuses | New status indicators for lobbyists | |
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| client\_url | URL for client information | |
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| registrant\_url | URL for registrant information | |
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| filing\_url | URL for the filing | |
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| filing\_id | Unique identifier for the filing | |
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| unique\_id | Unique identifier for the record | |
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| match | Matched client name | |
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| date\_time | Date and time of the record | |
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| ticker | Stock ticker symbol of the client company | |
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| date | Date of the lobbying activity | |
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## Use Cases |
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1. Corporate Influence Analysis: Examine how companies allocate resources to influence policy-making. |
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2. Sector Trends: Identify trends in lobbying activities across different sectors or industries. |
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3. Regulatory Impact Assessment: Analyze the relationship between lobbying efforts and regulatory outcomes. |
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4. ESG Research: Incorporate lobbying data into Environmental, Social, and Governance (ESG) assessments. |
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5. Political Risk Analysis: Evaluate potential political risks for companies based on their lobbying activities. |
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6. Corporate Strategy Insights: Gain insights into companies' strategic priorities by analyzing their lobbying focus areas. |
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7. Competitive Intelligence: Compare lobbying activities among competitors in the same industry. |
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8. Public Policy Research: Study the influence of corporate lobbying on public policy development. |
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9. Investor Due Diligence: Provide additional context for investor research and due diligence processes. |
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10. Transparency Reporting: Support corporate transparency initiatives by analyzing and reporting on lobbying activities.  |
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This dataset forms a comprehensive resource for analyzing corporate lobbying activities, enabling detailed examination of spending patterns, issue focus, and potential policy influences across different companies and sectors. |
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*** |
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