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Papers Containing Keywords(s): 'estimating'

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Center for Economic Studies - 61

Ordinary Least Squares - 51

Annual Survey of Manufactures - 50

National Science Foundation - 49

North American Industry Classification System - 46

Longitudinal Research Database - 42

Total Factor Productivity - 39

Bureau of Labor Statistics - 37

Bureau of Economic Analysis - 36

Longitudinal Business Database - 35

Current Population Survey - 34

Standard Industrial Classification - 33

Census of Manufactures - 31

Internal Revenue Service - 30

Census Bureau Disclosure Review Board - 26

Longitudinal Employer Household Dynamics - 25

American Community Survey - 22

National Bureau of Economic Research - 22

Cobb-Douglas - 21

Economic Census - 21

Federal Reserve Bank - 21

Disclosure Review Board - 20

Federal Statistical Research Data Center - 20

Chicago Census Research Data Center - 20

Employer Identification Numbers - 19

Social Security Administration - 19

Protected Identification Key - 19

Metropolitan Statistical Area - 19

Census Bureau Longitudinal Business Database - 17

Decennial Census - 16

Alfred P Sloan Foundation - 16

Research Data Center - 15

Special Sworn Status - 15

Cornell University - 15

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Social Security - 14

Census of Manufacturing Firms - 14

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Department of Economics - 12

Survey of Income and Program Participation - 11

Quarterly Workforce Indicators - 11

Environmental Protection Agency - 11

Federal Reserve System - 11

Service Annual Survey - 11

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Energy Information Administration - 9

University of Chicago - 9

Standard Statistical Establishment List - 9

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Manufacturing Energy Consumption Survey - 8

2010 Census - 8

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National Income and Product Accounts - 8

Organization for Economic Cooperation and Development - 8

Cornell Institute for Social and Economic Research - 8

Journal of Economic Literature - 8

Department of Labor - 7

Department of Housing and Urban Development - 7

Small Business Administration - 7

County Business Patterns - 7

Unemployment Insurance - 7

Detailed Earnings Records - 6

Indian Health Service - 6

Duke University - 6

Person Validation System - 6

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Master Address File - 6

Housing and Urban Development - 6

LEHD Program - 6

United States Census Bureau - 6

European Union - 6

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PAOC - 6

Pollution Abatement Costs and Expenditures - 6

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IQR - 5

Social and Economic Supplement - 5

Office of Management and Budget - 5

AKM - 5

MIT Press - 5

W-2 - 5

Individual Characteristics File - 5

Establishment Micro Properties - 5

University of Maryland - 5

CDF - 5

Cumulative Density Function - 5

International Trade Research Report - 5

Local Employment Dynamics - 5

Census Bureau Center for Economic Studies - 5

New England County Metropolitan - 5

Annual Business Survey - 4

ASEC - 4

COVID-19 - 4

Supplemental Nutrition Assistance Program - 4

Statistics Canada - 4

1940 Census - 4

Department of Homeland Security - 4

Columbia University - 4

American Housing Survey - 4

Centers for Disease Control and Prevention - 4

Accommodation and Food Services - 4

Michigan Institute for Teaching and Research in Economics - 4

Office of Personnel Management - 4

Person Identification Validation System - 4

Business Employment Dynamics - 4

Geographic Information Systems - 4

Retirement History Survey - 4

TFPR - 4

Financial, Insurance and Real Estate Industries - 4

American Immigration Council - 4

Composite Person Record - 4

State Energy Data System - 4

TFPQ - 4

Retail Trade - 4

North American Industry Classi - 4

Employment History File - 4

Federal Government - 4

New York University - 4

Center for Administrative Records Research and Applications - 4

Employer Characteristics File - 4

Core Based Statistical Area - 4

Boston Research Data Center - 4

American Statistical Association - 4

CPS ASEC - 3

University of Michigan - 3

Social Science Research Institute - 3

Census Bureau Person Identification Validation System - 3

Disability Insurance - 3

Master Earnings File - 3

Journal of Labor Economics - 3

Census Numident - 3

NUMIDENT - 3

Individual Taxpayer Identification Numbers - 3

General Accounting Office - 3

Census Bureau Business Dynamics Statistics - 3

Federal Reserve Bank of Chicago - 3

Business Formation Statistics - 3

Department of Energy - 3

National Center for Science and Engineering Statistics - 3

Postal Service - 3

Department of Health and Human Services - 3

Wholesale Trade - 3

Arts, Entertainment - 3

National Ambient Air Quality Standards - 3

IZA - 3

Economic Research Service - 3

Business Research and Development and Innovation Survey - 3

Ohio State University - 3

Urban Institute - 3

Board of Governors - 3

National Institute on Aging - 3

Company Organization Survey - 3

MTO - 3

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Agriculture, Forestry - 3

SSA Numident - 3

Bureau of Labor - 3

Harvard University - 3

Employer-Household Dynamics - 3

Department of Agriculture - 3

Center for Administrative Records Research - 3

Public Use Micro Sample - 3

Kauffman Foundation - 3

Chicago RDC - 3

Survey of Industrial Research and Development - 3

Labor Turnover Survey - 3

Review of Economics and Statistics - 3

Commodity Flow Survey - 3

PSID - 3

American Economic Review - 3

Survey of Manufacturing Technology - 3

National Longitudinal Survey of Youth - 3

estimation - 72

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earnings - 31

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manufacturing - 27

macroeconomic - 27

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estimator - 25

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regression - 25

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data census - 14

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estimates production - 13

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productivity measures - 12

depreciation - 12

measures productivity - 11

spillover - 11

unobserved - 11

datasets - 11

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average - 10

percentile - 10

innovation - 10

report - 10

state - 10

census data - 10

microdata - 10

analysis - 10

housing - 10

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econometrician - 10

industry productivity - 10

plant productivity - 10

cost - 10

longitudinal - 10

estimates productivity - 9

regress - 9

census employment - 9

disclosure - 9

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estimates employment - 9

use census - 9

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econometrically - 9

regulation - 9

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productivity plants - 9

inference - 9

technology - 9

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bias - 8

regressing - 8

statistician - 8

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imputation model - 7

entrepreneurship - 7

growth productivity - 7

productivity dynamics - 7

energy - 7

epa - 7

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productivity estimates - 6

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pollution - 6

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analysis productivity - 6

labor statistics - 5

sample - 5

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productivity impacts - 5

specialization - 5

subsidy - 5

fuel - 5

employment estimates - 5

assessing - 5

forecast - 5

household surveys - 5

rural - 5

regional - 5

privacy - 5

entrepreneurial - 5

earn - 5

yearly - 5

quantity - 5

agency - 5

imputed - 5

wage data - 5

factor productivity - 5

employer household - 5

census years - 5

model - 5

budget - 5

layoff - 5

regulated - 5

environmental regulation - 5

pollutant - 5

abatement expenditures - 5

pollution abatement - 5

capital - 5

technical - 5

regulation productivity - 5

aggregate productivity - 4

productivity analysis - 4

productivity variation - 4

ssa - 4

population survey - 4

manufacturer - 4

patent - 4

federal - 4

matching - 4

linkage - 4

policy - 4

income survey - 4

citizen - 4

city - 4

rent - 4

employment statistics - 4

ethnicity - 4

research - 4

turnover - 4

refinery - 4

renewable - 4

researcher - 4

observed productivity - 4

geographically - 4

productivity shocks - 4

confidentiality - 4

monopolistic - 4

competitor - 4

startup - 4

employment data - 4

disadvantaged - 4

hiring - 4

unemployed - 4

proprietorship - 4

wage changes - 4

economic statistics - 4

consumer - 4

firm dynamics - 4

inflation - 4

heterogeneity - 4

area - 4

geographic - 4

productivity size - 4

development - 4

employment changes - 4

employee data - 4

workforce indicators - 4

tax - 4

coverage - 4

costs pollution - 4

tenure - 4

longitudinal employer - 4

labor productivity - 4

investment productivity - 4

employment wages - 4

polluting - 4

profitability - 4

workplace - 4

2010 census - 3

innovate - 3

wages productivity - 3

innovating - 3

patenting - 3

externality - 3

census survey - 3

census records - 3

irs - 3

census responses - 3

urban - 3

locality - 3

relocation - 3

income data - 3

venture - 3

classified - 3

industrial classification - 3

classification - 3

rate - 3

utility - 3

incorporated - 3

regional economic - 3

larger firms - 3

tariff - 3

distribution - 3

energy efficiency - 3

gain - 3

yield - 3

wage regressions - 3

medicaid - 3

prevalence - 3

price - 3

department - 3

statistical disclosure - 3

public - 3

census use - 3

businesses grow - 3

declining - 3

mobility - 3

region - 3

dispersion productivity - 3

regressors - 3

product - 3

pricing - 3

investing - 3

insurance - 3

enrollment - 3

employment count - 3

acquisition - 3

financial - 3

household income - 3

employment flows - 3

compensation - 3

district - 3

substitute - 3

productivity differences - 3

plants industry - 3

plant investment - 3

employing - 3

industry growth - 3

performance - 3

plant - 3

textile - 3

Viewing papers 81 through 90 of 167


  • Working Paper

    ENTREPRENEURSHIP AND URBAN GROWTH:AN EMPIRICAL ASSESSMENT WITH HISTORICAL MINES

    April 2013

    Working Paper Number:

    CES-13-15

    Measures of entrepreneurship, such as average establishment size and the prevalence of start-ups, correlate strongly with employment growth across and within metropolitan areas, but the endogeneity of these measures bedevils interpretation. Chinitz (1961) hypothesized that coal mines near Pittsburgh led that city to specialization in industries, like steel, with significant scale economies and that those big firms led to a dearth of entrepreneurial human capital across several generations. We test this idea by looking at the spatial location of past mines across the United States: proximity to historical mining deposits is associated with bigger firms and fewer start-ups in the middle of the 20th century. We use mines as an instrument for our entrepreneurship measures and find a persistent link between entrepreneurship and city employment growth; this connection works primarily through lower employment growth of start- ups in cities that are closer to mines. These effects hold in cold and warm regions alike and in industries that are not directly related to mining, such as trade, finance and services. We use quantile instrumental variable regression techniques and identify mostly homogeneous effects throughout the conditional city growth distribution.
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  • Working Paper

    Small Homes, Public Schools, and Property Tax Capitalization

    March 2013

    Working Paper Number:

    CES-13-04

    Efforts to estimate the degree to which local property taxes are capitalized into house values are complicated by any spurious correlation between property taxes and unobserved public services. One public service of particular interest is the provision of local public schools. Not only do public schools bulk large in the local property tax bill, but the inherent difficulty in measuring school quality has potentially undermined earlier attempts at achieving unbiased estimates of property tax capitalization. This particular problem has been of special concern since Oates' (1969) seminal paper. We sidestep the problem of omitted or misspecified measures of school quality by focusing on a segment of the housing market that likely places little-to-no value on school quality: small homes. Because few households residing in small homes have public school children, we anticipate that variations in their value does not account for differentials in public school quality. Using restricted-access microdata provided by the U.S. Census, and a quasi- experimental identification strategy, we estimate that local property taxes are nearly fully capitalized into the prices of small homes.
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  • Working Paper

    Estimation of Job-to-Job Flow Rates under Partially Missing Geography

    September 2012

    Working Paper Number:

    CES-12-29

    Integration of data from different regions presents challenges for the calculation of entitylevel longitudinal statistics with a strong geographic component: for example, movements between employers, migration, business dynamics, and health statistics. In this paper, we consider the estimation of worker-level employment statistics when the geographies (in our application, US states) over which such measures are defined are partially missing. We focus on the recent pilot set of job-to-job flow statistics produced by the US Census Bureau's Longitudinal Employer- Household Dynamics (LEHD) program, which measure the frequency of worker movements between jobs and into and out of nonemployment. LEHD's coverage of the labor force gradually increases during the 1990s and 2000s because some states have a longer time series than others, so employment transitions involving missing states are only partially or not at all observed. We propose and implement a method for estimating national-level job-to-job flow statistics that involves dropping observed states to recover the relationship between missing states and directly tabulated job-to-job flow rates. Using the estimated relationship between the observable characteristics of the missing states and changes in the employment measures, we provide estimates of the rates of job-to-job, and job-to-nonemployment, job-to-nonemploymentto- job flows were all states uniformly available.
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  • Working Paper

    Do SBA Loans Create Jobs? Estimates from Universal Panel Data and Longitudinal Matching Methods

    September 2012

    Working Paper Number:

    CES-12-27

    This pape reports estimates of the effects of the Small Business Administration (SBA) 7(a) and 504 loan programs on employment. The database links a complete list of all SBA loans in these programs to universal data on all employers in the U.S. economy from 1976 to 2010. Our method is to estimate firm fixed effect regressions using matched control groups for the SBA loan recipients we have constructed by matching exactly on firm age, industry, year, and pre-loan size, plus kernel-based matching on propensity scores estimated as a function of four years of employment history and other variables. The results imply positive average effects on loan recipient employment of about 25 percent or 3 jobs at the mean. Including loan amount, we find little or no impact of loan receipt per se, but an increase of about 5.4 jobs for each million dollars of loans. When focusing on loan recipients and control firms located in high-growth counties (average growth of 22 percent), places where most small firms should have excellent growth potential, we find similar effects, implying that the estimates are not driven by differential demand conditions across firms. Results are also similar regardless of distance of control from recipient firms, suggesting only a very small role for displacement effects. In all these cases, the results pass a "pre-program" specification test, where controls and treated firms look similar in the pre-loan period. Other specifications, such as those using only matching or only regression imply somewhat higher effects, but they fail the pre-program test.
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  • Working Paper

    Occupation Inflation in the Current Population Survey

    September 2012

    Working Paper Number:

    CES-12-26

    A common caveat often accompanying results relying on household surveys regards respondent error. There is research using independent, presumably error-free administrative data, to estimate the extent of error in the data, the correlates of error, and potential corrections for the error. We investigate measurement error in occupation in the Current Population Survey (CPS) using the panel component of the CPS to identify those that incorrectly report changing occupation. We find evidence that individuals are inflating their occupation to higher skilled and higher paying occupations than the ones they actually perform. Occupation inflation biases the education and race coefficients in standard Mincer equation results within occupations.
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  • Working Paper

    The Slow Growth of New Plants: Learning about Demand?

    March 2012

    Working Paper Number:

    CES-12-06

    It is well known that new businesses are typically much smaller than their established industry competitors, and that this size gap closes slowly. We show that even in commodity-like product markets, these patterns do not reflect productivity gaps, but rather differences in demand-side fundamentals. We document and explore patterns in plants' idiosyncratic demand levels by estimating a dynamic model of plant expansion in the presence of a demand accumulation process (e.g., building a customer base). We find active accumulation driven by plants' past production decisions quantitatively dominates passive demand accumulation, and that within-firm spillovers affect demand levels but not growth.
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  • Working Paper

    Micro Data and the Macro Elasticity of Substitution

    March 2012

    Working Paper Number:

    CES-12-05

    We estimate the aggregate elasticity of substitution between capital and labor in the US manufacturing sector. We show that the aggregate elasticity of substitution can be expressed as a simple function of plant level structural parameters and sufficient statistics of the distribution of plant input cost shares. We then use plant level data from the Census of Manufactures to construct a local elasticity of substitution at various levels of aggregation. Our approach does not assume the existence of a stable aggregate production function, as we build up our estimate from the cross section of plants at a point in time. Accounting for substitution within and across plants, we find that the aggregate elasticity is substantially below unity at approximately 0.7. Lastly we assess the sources of the bias of aggregate technical change from 1987 to 1997. We find that the labor augmenting character of aggregate technical change is due almost exclusively to labor augmenting productivity growth at the plant level rather than relative growth in capital intensive plants.
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  • Working Paper

    LEHD Data Documentation LEHD-OVERVIEW-S2008-rev1

    December 2011

    Working Paper Number:

    CES-11-43

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  • Working Paper

    Firm Market Power and the Earnings Distribution

    December 2011

    Authors: Douglas Webber

    Working Paper Number:

    CES-11-41

    Using the Longitudinal Employer Household Dynamics (LEHD) data from the United States Census Bureau, I compute firm-level measures of labor market (monopsony) power. To generate these measures, I extend the dynamic model proposed by Manning (2003) and estimate the labor supply elasticity facing each private non-farm firm in the US. While a link between monopsony power and earnings has traditionally been assumed, I provide the first direct evidence of the positive relationship between a firm\'s labor supply elasticity and the earnings of its workers. I also contrast the semistructural method with the more traditional use of concentration ratios to measure a firm\'s labor market power. In addition, I provide several alternative measures of labor market power which account for potential threats to identification such as endogenous mobility. Finally, I construct a counterfactual earnings distribution which allows the effects of firm market power to vary across the earnings distribution. I estimate the average firm\'s labor supply elasticity to be 1.08, however my findings suggest there to be significant variability in the distribution of firm market power across US firms, and that dynamic monopsony models are superior to the use of concentration ratios in evaluating a firm\'s labor market power. I find that a one-unit increase in the labor supply elasticity to the firm is associated with wage gains of between 5 and 18 percent. While nontrivial, these estimates imply that firms do not fully exercise their labor market power over their workers. Furthermore, I find that the negative earnings impact of a firm\'s market power is strongest in the lower half of the earnings distribution, and that a one standard deviation increase in firms\' labor supply elasticities reduces the variance of the earnings distribution by 9 percent.
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  • Working Paper

    Entry Costs and Increasing Trade

    December 2011

    Working Paper Number:

    CES-11-38R

    Using confidential microdata from the US Census, we find that the fraction of manufacturing plants that export rose from 21% in 1987 to 39% in 2006. It has been suggested that similar trends in other countries may have been caused by declining costs of entering foreign markets. Our study tests this hypothesis for the first time. Both reduced form and structural estimation approaches find little evidence that entry costs declined significantly for US firms over this period. Despite the large literature on changes in variable costs to trade such as tariffs, our estimations represent the first analysis of how the costs of entering foreign markets have changed over time.
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