Another attempt

labordynamicsinstitute · Jan 28, 2025 · 5ca3780 · 5ca3780
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diff --git a/_config.yml b/_config.yml
@@ -45,8 +45,8 @@ defaults:
 #   - vendor/gems/
 #   - vendor/ruby/
 
-# collections:
-#   query:
-#     output: true
+collections:
+  projects:
+    output: true
 
 
diff --git a/_layouts/project.html b/_layouts/project.html
@@ -0,0 +1,50 @@
+<!DOCTYPE html>
+<html lang="{{ site.lang | default: "en-US" }}">
+  <head>
+    <meta charset="UTF-8">
+    <meta http-equiv="X-UA-Compatible" content="IE=edge">
+    <meta name="viewport" content="width=device-width, initial-scale=1">
+
+{% seo %}
+    <link rel="stylesheet" href="{{ "/assets/css/style.css?v=" | append: site.github.build_revision | relative_url }}">
+
+  </head>
+  <body>
+    {% include header.html %}
+     <div class="wrapper">
+      <section>
+
+        {% include title-doi.html %}
+<!-- Use the metadata to show an article -->
+<!-- Proj ID,Status,Title,RDC,Start Year,End Year,PI,Abstract -->
+
+        <h1>{{ page.title }}</h1>
+        <p><strong>[ {{ page.proj_id }} ] </strong>
+           <strong>Principal Investigator:</strong> {{ page.pi }}</p>
+        <p><strong>Abstract:</strong> {{ page.abstract }}</p>
+
+
+      <p><strong>Additional information:</strong>
+        <ul>
+          <li>Current status: {{ page.status }} (Active {{ page.start_year }}- {{ page.end_year }})</li>
+          <li>Research Data Center: {{ page.rdc }}</li>
+        </ul>
+      </p>
+
+
+<!-- the Content will be the table of datasets used, as well as publications -->
+
+
+        {{ content }}
+
+      </section>
+      <footer>
+        {% include footer.html %}
+      </footer>
+    </div>
+    <script src="{{ "/assets/js/scale.fix.js" | relative_url }}"></script>
+    <script>
+      createCitation();
+    </script>
+  </body>
+</html>
diff --git a/_projects/100.md b/_projects/100.md
@@ -0,0 +1,18 @@
+---
+title: "Survey Data on Capacity Utilization and Plant Work Patterns in U.S. Manufacturing"
+proj_id: "100"
+status: "Completed"
+rdc: "Washington"
+start_year: "2001"
+end_year: "2004.0"
+pi: "Kimberly N Bayard"
+abstract: "Data collected by the Census Bureau's Survey of Plant Capacity form the basis of capacity utilization statistics published in the Federal Reserve's G17 Statistical Release. Despite important changes in the survey's sample design and questionnaire in the 1990s, there has been little assessment of the effects of these changes on data quality, nor has there been any analysis of questions added to the survey on plants' work patterns. The main purposes of this project will be to (a) investigate the quality of the survey data, (b) develop additional descriptive analyses of plant utilization and work patterns, especially using the new unpublished data, and (c) use the data to characterize relationships between capacity utilization, capital utilization (the "workweek of capital"), and capital investment in U.S. manufacturing plants. "
+---
+
+**Datasets Used:**
+
+  - Annual Survey of Manufactures 
+  - Census of Manufactures 
+  - Survey of Plant Capacity Utilization 
+  - Survey of Manufacturing Technology 
+
diff --git a/_projects/1000.md b/_projects/1000.md
@@ -0,0 +1,24 @@
+---
+title: "Effects of the Family and Medical Leave Act on Firms and Workers: Evidence from the LEHD"
+proj_id: "1000"
+status: "Completed"
+rdc: "Baruch"
+start_year: "2017"
+end_year: "2023.0"
+pi: "Douglas V Almond"
+abstract: "This project primarily uses Longitudinal Employer-Household Dynamics (LEHD) data to analyze the transitional dynamics of workers and adjustment of firms to the Family and Medical Leave Act (FMLA) of 1993. FMLA mandated large employers to provide job-protected unpaid leave for specified family and medical reasons. Little is known about how firms and workers have responded to this mandate. This project investigates whether the firms that qualify for FMLA have changed the employment composition of their workforce, if earnings and promotions of workers in those firms have adjusted to reflect the cost of the FMLA mandate, the impacts of the law on leave taking, hours of work, fertility, and employer based health insurance of the workforce, and if firms themselves have changed their size in response to FMLA, since only firms with 50 or more employees are subject to the law. This project also employs data from the Longitudinal Business Database, American Community Survey (for information on fertility and health insurance), and Current Population Surveys (for information on leave taking and hours of work)."
+---
+
+**Datasets Used:**
+
+  - American Community Survey 
+  - BOC Consolidated PIK Crosswalk Current Population Survey (CPS) 
+  - BOC PIK Crosswalk American Community Survey (ACS) 
+  - BOC PIK Crosswalk Current Population Survey-ASEC (CPS) 
+  - Current Population Survey March Supplement 
+  - Longitudinal Business Database - No Revenue 
+  - LEHD Employer Characteristics File (ECF) - 2011 
+  - LEHD Employment History File (EHF) - 2011 
+  - LEHD Individual Characteristics File (ICF) - 2011 
+  - LEHD Unit-to-Worker (U2W) - 2011 
+
diff --git a/_projects/1002.md b/_projects/1002.md
@@ -0,0 +1,18 @@
+---
+title: "Intermediate Goods Trade and Firm Organizational Form: Offshoring, Outsourcing and the Effect on Labor"
+proj_id: "1002"
+status: "Completed"
+rdc: "Washington"
+start_year: "2014"
+end_year: "2017.0"
+pi: "Philip A Luck"
+abstract: "This project examines the relationship between the organizational form of firms and the sourcing of intermediate goods, both domestically and internationally. Specifically, it investigates a firm's decision to obtain intermediate goods at home (onshore) or abroad (offshore) and whether to produce its own intermediates (in-house) or contract with arms-length suppliers (outsource). This research has three main goals: (1) characterize the structure of intermediate good production and procurement of U.S. firms, (2) develop theory that predicts the observed structure, and (3) determine how decisions of organizational form influence employment and wages of production and non-production labor."
+---
+
+**Datasets Used:**
+
+  - Annual Survey of Manufactures 
+  - Commodity Flow Survey 
+  - Census of Manufactures 
+  - Longitudinal Foreign Trade Transactions Database 
+
diff --git a/_projects/1014.md b/_projects/1014.md
@@ -0,0 +1,26 @@
+---
+title: "Firm Networks and Firm Expansion"
+proj_id: "1014"
+status: "Completed"
+rdc: "Chicago"
+start_year: "2013"
+end_year: "2018.0"
+pi: "Chad W Syverson"
+abstract: "This research seeks to characterize the U.S. buyer-supplier network. Arguably one of the most vital economic systems in existence, surprisingly no one to date has theoretically or empirically modeled its structure. The researchers will begin by establishing basic (yet previously undocumented) facts about the U.S. input-output structure. They will then develop a dynamic model of firm birth, death, expansion, contraction, and trade that captures the economic fundamentals driving the evolution of the economy's buyer-supplier network structure. Solving the model to generate predicted vertical production patterns, they will take these to the data to estimate the model's parameters. This will permit any one of a number of conceptual exercises to investigate how various policies or changes in economic fundamentals would impact the equilibrium buyer-supplier network structure. The analyses will revolve around the following questions: When are two establishments likely to be linked to one another? How are shocks transmitted across linked establishments/firms? How are shocks transmitted within firms and how is production organized within firms, across their establishments? Finally, do shocks to individual firms or establishments have aggregate effects? "
+---
+
+**Datasets Used:**
+
+  - Annual Survey of Manufactures 
+  - Auxiliary Establishment - ES9200 
+  - Commodity Flow Survey 
+  - Census of Manufactures 
+  - Census of Retail Trade 
+  - Compustat-SSEL Bridge 
+  - Census of Wholesale Trade 
+  - Longitudinal Business Database - No Revenue 
+  - Longitudinal Foreign Trade Transactions Database 
+  - Ownership Change Database 
+  - Standard Statistical Establishment Listing 
+  - Standard Statistical Establishment List - non Name and Address File 
+
diff --git a/_projects/1027.md b/_projects/1027.md
@@ -0,0 +1,22 @@
+---
+title: "Understanding Informational Barriers to Trade Using the Scope of Exported Products and U.S. State Exporting Promotion Programs"
+proj_id: "1027"
+status: "Completed"
+rdc: "Seattle"
+start_year: "2014"
+end_year: "2017.0"
+pi: "Andrew J Cassey"
+abstract: "The purpose of this research is to increase the knowledge base of the Census Bureau with respect to the impact of informational barriers on firms involved in international trade.  The objectives are to compile a measure of origin of movement state export scope, create a measure of state export scope based on the location of the exporting agent relative to the state production scope, and conduct regression analysis relating export promotion, the information required to make an informed purchase, and both state export scopes relative to production scope.  This will improve the understanding of the export patterns of the United States."
+---
+
+**Datasets Used:**
+
+  - Annual Retail Trade Survey 
+  - Annual Survey of Manufactures 
+  - Census of Manufactures 
+  - Census of Retail Trade 
+  - Census of Wholesale Trade 
+  - Foreign Trade Data - Export 
+  - Longitudinal Business Database - No Revenue 
+  - Longitudinal Foreign Trade Transactions Database 
+
diff --git a/_projects/1057.md b/_projects/1057.md
@@ -0,0 +1,37 @@
+---
+title: "Dynamics of Employment, Trade and Investment  at Multinational Firms"
+proj_id: "1057"
+status: "Completed"
+rdc: "Michigan"
+start_year: "2014"
+end_year: "2019.0"
+pi: "Kyle L Handley"
+abstract: "This research focuses on the measurement of multinational activity, comparing it to domestic activity, and using measures to benchmark Census Bureau data. Using measures of domestic and multinational activity, two broad questions are addressed. First, what are the causes and consequences of multinational growth within the U.S. and abroad? The research design assesses the impact of multinationals across a range of economic variables including productivity, employment, and trade patterns. Second, what are the main drivers for technological change and reorganization at the firm level? How are these different for multinationals in terms of aggregation and behavior over the business cycle?"
+---
+
+**Datasets Used:**
+
+  - Annual Capital Expenditures Survey 
+  - Annual Survey of Manufactures 
+  - Business Enterprise Research and Development Survey (BERD) 
+  - Census of Manufactures 
+  - Compustat-SSEL Bridge 
+  - Foreign Trade Data - Export 
+  - Foreign Trade Data - Import 
+  - Longitudinal Business Database - No Revenue 
+  - LEHD Business Register Bridge (BRB) - 2008 
+  - LEHD Business Register Bridge (BRB) - 2011 
+  - LEHD Employer Characteristics File (ECF) - 2011 
+  - LEHD Employer Characteristics File (ECF) T26 Components - 2011 
+  - LEHD Individual Characteristics File (ICF) T26 Components - 2011 
+  - LEHD Quarterly Workforce Indicators (QWI) - 2011 
+  - Longitudinal Foreign Trade Transactions Database 
+  - Manufacturing Energy Consumption Survey 
+  - NBER-CES Manufacturing Industry Database (Public Use Dataset) 
+  - Survey of Pollution Abatement Costs and Expenditures 
+  - Survey of Plant Capacity Utilization 
+  - Quarterly Survey of Plant Capacity Utilization (formerly known as PCU) 
+  - Survey of Industrial Research and Development 
+  - Standard Statistical Establishment Listing 
+  - Standard Statistical Establishment List - non Name and Address File 
+
diff --git a/_projects/106.md b/_projects/106.md
@@ -0,0 +1,16 @@
+---
+title: "WO98-02  Input Database for a Pension and Retirement Income Microsimulation Model"
+proj_id: "106"
+status: "Completed"
+rdc: "Washington"
+start_year: "2000"
+end_year: "2000.0"
+pi: "Ann C Schatzer"
+abstract: "The proposed project would use an existing March 1994 Current Population Survey (CPS) and Social Security Administration (SSA) earnings histories match in combination with the March 1993 supplement and the April 1993 Employee Benefits Supplement, as the input data to a microsimulation model that projects family, work, retirement income, and long-term care use histories through 2050. The two related models, sponsored by the Office of Aging, Disability and Long Term Care Policy, Office of the Assistant Secretary for Planning and Evaluation (ASPE), Department of Health and Human Services and maintained by The Lewin Group, are entitled the Pension and Retirement Income Simulation Model (PRISM) and the Long-Term Care Financing Model (LTCFM). This data set would replace the existing input dataset which is based on the last available public-use CPS and SSA earnings histories match of the March 1978 CPS. We propose to run the first stage of the model described below at Census facilities. We propose to be allowed to remove the output of the PRISM from the Census facilities because it will contain no original information that was not available from the public use files. Specifically, the earnings histories that will be used to project future social security income would not be retained in the output database. This output data could then be tabulated and also would be used as input data to the LTCFM.
+The PRISM and LTCFM are used by ASPE to examine retirement and health care policy issues under consideration by the Congress and the White House. PRISM is a dynamic microsimulation model designed to simulate the retirement income of the elderly (age 65 and older) population. It ages the input database annually from 1979 through 2040, aligning aggregate outcomes to the projections of the Social Security Trustees report. Users of PRISM can simulate changes in laws and regulations related to pensions and social security, as well as modify economic and demographic assumptions. The Long-Term Care Financing Model (LTCFM) simulates nursing home and home care use and expenditures for individuals ages 65 and older to the year 2030. It permits analyses of alternative assumptions about the nature of the elderly population in the future (e.g., declining disability rates) and policy scenarios (e.g., tax incentives for long-term care insurance or changes to Medicaid eligibility)."
+---
+
+**Datasets Used:**
+
+  - Current Population Survey March Supplement 
+
diff --git a/_projects/1064.md b/_projects/1064.md
@@ -0,0 +1,17 @@
+---
+title: "Investigating the Bias of Alternative Statistical Inference Methods in Sequential Mixed-Mode Surveys"
+proj_id: "1064"
+status: "Completed"
+rdc: "Michigan"
+start_year: "2013"
+end_year: "2018.0"
+pi: "Zeynep T Suzer Gurtekin"
+abstract: "In a sequential mixed-mode survey design, a combination of data collection modes is used sequentially to reduce nonresponse bias and control total survey costs. However, nonrandom mixtures of modes yield unknown bias properties for population estimates such as means and totals. This research project aims to develop statistical inference methods accounting for both nonresponse and nonrandom mode effects. The American Community Survey (ACS) is the most prominent survey that uses such a sequential mixed-mode survey design, and therefore is an important test bed for such empirical evaluations. This research will focus on two variables in particular, personal income and health insurance coverage, which the survey methodology literature suggests are subject to mode effects. The proposed method conceptualizes the sequential mixed-mode survey data as a special case of a missing data problem. The research outcome will be revised ACS microdata that are adjusted for nonresponse and nonrandom mode effects, and corresponding composite weights to compute population estimates from these microdata. Additionally, alternative subgroup allocations for nonresponse follow-up which aim to reduce cost or mean square error will be investigated under the ACS design."
+---
+
+**Datasets Used:**
+
+  - American Community Survey 
+  - Decennial Census 
+  - Current Population Survey March Supplement 
+
diff --git a/_projects/1069.md b/_projects/1069.md
@@ -0,0 +1,41 @@
+---
+title: "Organizations in the Digital Economy: Information Technology Use, Complementary Investments, and Impacts on Firm Outcomes"
+proj_id: "1069"
+status: "Completed"
+rdc: "Boston"
+start_year: "2014"
+end_year: "2022.0"
+pi: "Kristina S Steffenson McElheran"
+abstract: "This research investigates recent IT adoption and considers complementary organizational investments. It examines different margins of IT use and investigates both traditional and non-traditional firm outcomes from IT and complementary investments, including productivity, entry, innovation, operational responsiveness, and organizational structure."
+---
+
+**Datasets Used:**
+
+  - Annual Capital Expenditures Survey 
+  - Annual Retail Trade Survey 
+  - Annual Survey of Manufactures 
+  - Auxiliary Establishment - ES9200 
+  - Annual Wholesale Trade Survey 
+  - Business Enterprise Research and Development Survey (BERD) 
+  - Business Expenditures Survey 
+  - Census of Construction Industries 
+  - Census of Finance, Insurance, and Real Estate 
+  - Commodity Flow Survey 
+  - Census of Manufactures 
+  - Census of Mining 
+  - Census of Retail Trade 
+  - Compustat-SSEL Bridge 
+  - Census of Services 
+  - Census of Transportation, Communications, and Utilities 
+  - Census of Wholesale Trade 
+  - Longitudinal Business Database - No Revenue 
+  - Manufacturers' Shipments, Inventories, and Orders 
+  - National Employer Survey 
+  - Survey of Plant Capacity Utilization 
+  - Quarterly Survey of Plant Capacity Utilization (formerly known as PCU) 
+  - Service Annual Survey 
+  - Survey of Industrial Research and Development 
+  - Survey of Manufacturing Technology 
+  - Standard Statistical Establishment Listing 
+  - Standard Statistical Establishment List - non Name and Address File 
+
diff --git a/_projects/1070.md b/_projects/1070.md
@@ -0,0 +1,18 @@
+---
+title: "Improving the Connection between the Spatial and the Survey Sciences"
+proj_id: "1070"
+status: "Completed"
+rdc: "Colorado"
+start_year: "2013"
+end_year: "2021.0"
+pi: "Seth E Spielman"
+abstract: "The Spatial Sciences Census Research Node (SSCRN) will foster a connection between the spatial and the survey sciences. This bridge will yield both immediate and long‐term benefits for the estimation, dissemination, and usability of the small area statistics produced by the Census Bureau. Small area statistics describe the character of the population within small geographic zones, such as census tracts, and can be imprecise. Apart from the impractical solution of increasing the sample size, the only way to reduce the uncertainty of survey estimates is to utilize ancillary information about the population. Historically, very little attention has been paid to the geographic distribution of populations within these small areas. This research will increase knowledge about the organization of the population within small geographic areas, and exploit new forms of geographic information and recent advances in spatial statistics, to make small area estimates more accurate. This project will develop software tools that will enhance the usability of small area estimates from the American Community Survey (ACS) by allowing users to intelligently combine tracts to reduce uncertainty in variables of interest. In addition to improving small area population estimates, an improved understanding of the geographic micro‐structure of the U.S. population is of broad scientific interest and may expand knowledge about socio‐spatial processes like segregation and neighborhood effects. "
+---
+
+**Datasets Used:**
+
+  - American Community Survey 
+  - Decennial Census 
+  - BOC Master Address File Auxiliary Reference File (MAFARF) 
+  - Master Address File Extract 
+